Subjects -> ENERGY (Total: 414 journals)
    - ELECTRICAL ENERGY (12 journals)
    - ENERGY (252 journals)
    - ENERGY: GENERAL (7 journals)
    - NUCLEAR ENERGY (40 journals)
    - PETROLEUM AND GAS (58 journals)
    - RENEWABLE ENERGY (45 journals)

ENERGY (252 journals)                  1 2 | Last

Showing 1 - 200 of 406 Journals sorted by number of followers
Energy Policy     Partially Free   (Followers: 77)
IET Power Electronics     Open Access   (Followers: 69)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 55)
IEEE Transactions on Power Systems     Hybrid Journal   (Followers: 48)
Energy     Partially Free   (Followers: 41)
Journal of Physical Chemistry C     Hybrid Journal   (Followers: 37)
Nature Energy     Hybrid Journal   (Followers: 37)
International Journal of Hydrogen Energy     Partially Free   (Followers: 35)
IEEE Power and Energy     Full-text available via subscription   (Followers: 34)
Applied Energy     Partially Free   (Followers: 32)
Energy & Fuels     Hybrid Journal   (Followers: 29)
Solar Energy Materials and Solar Cells     Hybrid Journal   (Followers: 29)
Advances in High Energy Physics     Open Access   (Followers: 26)
Advances in Natural Sciences : Nanoscience and Nanotechnology     Open Access   (Followers: 26)
Energy & Environment     Hybrid Journal   (Followers: 25)
Energy and Power Engineering     Open Access   (Followers: 23)
International Journal of Turbomachinery, Propulsion and Power     Open Access   (Followers: 22)
Applied Solar Energy     Hybrid Journal   (Followers: 21)
International Journal of Alternative Propulsion     Hybrid Journal   (Followers: 21)
Solar Energy     Hybrid Journal   (Followers: 20)
Energy Materials : Materials Science and Engineering for Energy Systems     Hybrid Journal   (Followers: 19)
Journal of Solar Energy Engineering     Full-text available via subscription   (Followers: 19)
Water International     Hybrid Journal   (Followers: 19)
Canadian Water Resources Journal     Hybrid Journal   (Followers: 18)
Energy and Power     Open Access   (Followers: 18)
IEEE Transactions on Energy Conversion     Hybrid Journal   (Followers: 16)
Nuclear Engineering and Design     Hybrid Journal   (Followers: 16)
Energy, Sustainability and Society     Open Access   (Followers: 16)
Economics and Policy of Energy and the Environment     Full-text available via subscription   (Followers: 16)
Energy Conversion and Management     Hybrid Journal   (Followers: 15)
Progress in Energy and Combustion Science     Hybrid Journal   (Followers: 14)
Waste Management     Hybrid Journal   (Followers: 14)
Energy and Environment Research     Open Access   (Followers: 14)
Journal of Power Electronics & Power Systems     Full-text available via subscription   (Followers: 14)
Advances in Energy and Power     Open Access   (Followers: 14)
Surface Science Reports     Full-text available via subscription   (Followers: 13)
Annual Review of Resource Economics     Full-text available via subscription   (Followers: 13)
Energy Journal The     Hybrid Journal   (Followers: 13)
Energy Research & Social Science     Full-text available via subscription   (Followers: 13)
Energy and Buildings     Hybrid Journal   (Followers: 12)
International Journal of Sustainable Energy     Hybrid Journal   (Followers: 12)
Oil and Gas Journal     Full-text available via subscription   (Followers: 12)
Biofuels     Hybrid Journal   (Followers: 12)
Journal of Solar Energy     Open Access   (Followers: 12)
Journal of Renewable Energy     Open Access   (Followers: 12)
Advances in Building Energy Research     Hybrid Journal   (Followers: 11)
Energy Systems     Hybrid Journal   (Followers: 11)
International Journal of Thermodynamics     Open Access   (Followers: 11)
Joule     Hybrid Journal   (Followers: 11)
IEEE Transactions on Nuclear Science     Hybrid Journal   (Followers: 10)
Innovations : Technology, Governance, Globalization     Hybrid Journal   (Followers: 10)
International Journal of Energy Research     Hybrid Journal   (Followers: 10)
Energy Efficiency     Hybrid Journal   (Followers: 10)
Journal of Ocean and Climate     Open Access   (Followers: 10)
Energy Science and Technology     Open Access   (Followers: 10)
Energy Strategy Reviews     Open Access   (Followers: 10)
Biomass Conversion and Biorefinery     Partially Free   (Followers: 10)
Batteries     Open Access   (Followers: 10)
ACS Energy Letters     Hybrid Journal   (Followers: 10)
Archives of Thermodynamics     Open Access   (Followers: 9)
Journal of Modern Power Systems and Clean Energy     Open Access   (Followers: 9)
International Journal of Global Energy Issues     Hybrid Journal   (Followers: 8)
International Journal of Green Energy     Hybrid Journal   (Followers: 8)
Smart Grid and Renewable Energy     Open Access   (Followers: 8)
Wiley Interdisciplinary Reviews : Energy and Environment     Hybrid Journal   (Followers: 8)
International Journal of Energy and Power     Open Access   (Followers: 8)
American Journal of Energy Research     Open Access   (Followers: 8)
CERN courier. International journal of high energy physics     Free   (Followers: 8)
Energy and Environment Focus     Free   (Followers: 8)
Annals of Nuclear Energy     Hybrid Journal   (Followers: 7)
Fuel and Energy Abstracts     Full-text available via subscription   (Followers: 7)
International Journal of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 7)
Applied Nanoscience     Open Access   (Followers: 7)
Environmental Progress & Sustainable Energy     Hybrid Journal   (Followers: 7)
Energy Storage Materials     Full-text available via subscription   (Followers: 7)
ACS Applied Energy Materials     Hybrid Journal   (Followers: 7)
Structural Control and Health Monitoring     Hybrid Journal   (Followers: 6)
Energy Prices and Taxes     Full-text available via subscription   (Followers: 6)
Journal of Building Performance Simulation     Hybrid Journal   (Followers: 6)
Computational Water, Energy, and Environmental Engineering     Open Access   (Followers: 6)
Materials for Renewable and Sustainable Energy     Open Access   (Followers: 6)
Energy Science & Engineering     Open Access   (Followers: 6)
American Journal of Energy and Environment     Open Access   (Followers: 6)
Atomic Energy     Hybrid Journal   (Followers: 5)
Carbon Management     Open Access   (Followers: 5)
Journal of Energy Technologies and Policy     Open Access   (Followers: 5)
Energy Studies Review     Open Access   (Followers: 5)
Energy Technology     Partially Free   (Followers: 5)
Geothermal Energy     Open Access   (Followers: 5)
Frontiers in Energy Research     Open Access   (Followers: 5)
Journal of Energy, Environment & Carbon Credits     Full-text available via subscription   (Followers: 5)
International Journal of Sustainable Energy Planning and Management     Open Access   (Followers: 5)
Energy and Environmental Engineering     Open Access   (Followers: 5)
Energy Reports     Open Access   (Followers: 5)
Journal of Energy & Natural Resources Law     Hybrid Journal   (Followers: 5)
Annual Reports on NMR Spectroscopy     Full-text available via subscription   (Followers: 4)
Frontiers in Energy     Hybrid Journal   (Followers: 4)
International Journal of Nuclear Energy Science and Technology     Hybrid Journal   (Followers: 4)
Journal of Photochemistry and Photobiology B: Biology     Hybrid Journal   (Followers: 4)
Wind Energy     Hybrid Journal   (Followers: 4)
Strategic Planning for Energy and the Environment     Hybrid Journal   (Followers: 4)
International Journal of Sustainable Engineering     Hybrid Journal   (Followers: 4)
Dams and Reservoirs     Hybrid Journal   (Followers: 4)
Journal of Nano Energy and Power Research     Full-text available via subscription   (Followers: 4)
International Journal of Energy and Environmental Engineering     Open Access   (Followers: 4)
Science and Technology for Energy Transition     Open Access   (Followers: 4)
International Journal of Applied Power Engineering     Open Access   (Followers: 4)
Development of Energy Science     Open Access   (Followers: 4)
Journal of International Energy Policy     Open Access   (Followers: 4)
Foundations and Trends® in Renewable Energy     Full-text available via subscription   (Followers: 4)
International Journal of Energy and Statistics     Hybrid Journal   (Followers: 4)
Sustainable Energy, Grids and Networks     Hybrid Journal   (Followers: 4)
Journal of Energy Chemistry     Full-text available via subscription   (Followers: 4)
Journal of Energy Storage     Full-text available via subscription   (Followers: 4)
Journal of Energy, Mechanical, Material and Manufacturing Engineering     Open Access   (Followers: 4)
Journal of Fusion Energy     Hybrid Journal   (Followers: 3)
Journal of Photochemistry and Photobiology A: Chemistry     Hybrid Journal   (Followers: 3)
Journal of Photochemistry and Photobiology C: Photochemistry Reviews     Full-text available via subscription   (Followers: 3)
Global Energy Law and Sustainability     Hybrid Journal   (Followers: 3)
Science and Technology of Nuclear Installations     Open Access   (Followers: 3)
Power Technology and Engineering     Hybrid Journal   (Followers: 3)
Functional Materials Letters     Hybrid Journal   (Followers: 3)
Distributed Generation & Alternative Energy Journal     Hybrid Journal   (Followers: 3)
Sustainable Energy     Open Access   (Followers: 3)
Journal of Technology Innovations in Renewable Energy     Hybrid Journal   (Followers: 3)
Journal of Ocean Engineering and Marine Energy     Hybrid Journal   (Followers: 3)
International Journal of Coal Science & Technology     Open Access   (Followers: 3)
Energy and Emission Control Technologies     Open Access   (Followers: 3)
Asian Bulletin of Energy Economics and Technology     Open Access   (Followers: 3)
Protection and Control of Modern Power Systems     Open Access   (Followers: 3)
Sustainable Energy & Fuels     Hybrid Journal   (Followers: 3)
International Journal of Nuclear Knowledge Management     Hybrid Journal   (Followers: 2)
Progress in Nuclear Energy     Hybrid Journal   (Followers: 2)
Electricity Journal     Hybrid Journal   (Followers: 2)
Proceedings of the Institution of Civil Engineers - Energy     Hybrid Journal   (Followers: 2)
Gcb Bioenergy     Open Access   (Followers: 2)
Journal of Semiconductors     Full-text available via subscription   (Followers: 2)
EPJ Photovoltaics     Open Access   (Followers: 2)
International Journal of Clean Coal and Energy     Open Access   (Followers: 2)
Washington and Lee Journal of Energy, Climate, and the Environment     Open Access   (Followers: 2)
Journal of Energy in Southern Africa     Open Access   (Followers: 2)
Journal of Alternate Energy Sources & Technologies     Full-text available via subscription   (Followers: 2)
Journal of Nuclear Energy Science & Power Generation Technology     Hybrid Journal   (Followers: 2)
Nigerian Journal of Technological Research     Full-text available via subscription   (Followers: 2)
Journal of Energy     Open Access   (Followers: 2)
Energy Technology & Policy     Open Access   (Followers: 2)
Biofuel Research Journal     Open Access   (Followers: 2)
Green Energy & Environment     Open Access   (Followers: 2)
Materials Today Energy     Hybrid Journal   (Followers: 2)
Journal of Power and Energy Engineering     Open Access   (Followers: 2)
Clean Energy     Open Access   (Followers: 2)
Global Challenges     Open Access   (Followers: 2)
Carbon Resources Conversion     Open Access   (Followers: 2)
IET Smart Grid     Open Access   (Followers: 2)
IET Energy Systems Integration     Open Access   (Followers: 2)
International Journal of Nuclear Desalination     Hybrid Journal   (Followers: 1)
International Journal of Nuclear Hydrogen Production and Applications     Hybrid Journal   (Followers: 1)
Radioprotection     Hybrid Journal   (Followers: 1)
Nuclear Law Bulletin     Full-text available via subscription   (Followers: 1)
International Journal of Power and Energy Conversion     Hybrid Journal   (Followers: 1)
Clefs CEA     Full-text available via subscription   (Followers: 1)
Journal of Computational Multiphase Flows     Open Access   (Followers: 1)
Natural Resources     Open Access   (Followers: 1)
Journal of Sustainable Bioenergy Systems     Full-text available via subscription   (Followers: 1)
Open Journal of Energy Efficiency     Open Access   (Followers: 1)
Michigan Journal of Sustainability     Open Access   (Followers: 1)
Technology Audit and Production Reserves     Open Access   (Followers: 1)
Sustainable Energy Technologies and Assessments     Full-text available via subscription   (Followers: 1)
International Journal of Smart Grid and Green Communications     Hybrid Journal   (Followers: 1)
Clean Technologies     Open Access   (Followers: 1)
Energy Conversion and Management : X     Open Access   (Followers: 1)
Technology and Economics of Smart Grids and Sustainable Energy     Hybrid Journal   (Followers: 1)
Energy, Ecology and Environment     Hybrid Journal   (Followers: 1)
International Journal of Energy and Water Resources     Hybrid Journal  
BioPhysical Economics and Resource Quality     Hybrid Journal  
Geomechanics and Geophysics for Geo-Energy and Geo-Resources     Hybrid Journal  
BMC Energy     Open Access  
Journal of Energy and Environment Technology of Graduate School Siam Technology College     Open Access  
Global Energy Interconnection     Open Access  
Journal of Energy Systems     Open Access  
International Journal of Energy & Engineering Sciences     Open Access  
International Journal of Energy and Smart Grid     Open Access  
Turkish Journal of Energy Policy     Open Access  
Energy Informatics     Open Access  
High Voltage     Open Access  
Geomechanics for Energy and the Environment     Full-text available via subscription  
ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations     Open Access  
Journal of China Coal Society     Open Access  
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Universal Journal of Applied Science     Open Access  
Ingeniería Energética     Open Access  
E3S Web of Conferences     Open Access  
International Journal of Ambient Energy     Hybrid Journal  
CT&F - Ciencia, Tecnología y Futuro     Open Access  
Multequina     Open Access  
South Pacific Journal of Natural and Applied Sciences     Hybrid Journal  
Chain Reaction     Full-text available via subscription  
Wind Engineering     Hybrid Journal  
Nuclear Data Sheets     Full-text available via subscription  
International Journal of Nuclear Governance, Economy and Ecology     Hybrid Journal  

        1 2 | Last

Similar Journals
Journal Cover
Energy & Environment
Journal Prestige (SJR): 0.258
Citation Impact (citeScore): 1
Number of Followers: 25  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0958-305X - ISSN (Online) 2048-4070
Published by Sage Publications Homepage  [1176 journals]
  • Renewable energy consumption and its impacts on agriculturalization under
           climate neutrality targets

    • Free pre-print version: Loading...

      Authors: LingYan Wang, Yuezhou Wei, Biqing Li, Shiyong Zheng, Sana Ullah, Sidra Sohail
      Abstract: Energy & Environment, Ahead of Print.
      Improvements in energy efficiency, cost savings, and environmental advantages are possible effects of adopting and using renewable energy in agriculture. However, whether renewable energy consumption (REC) has any impact on agricultural productivity is a research question that this analysis tries to answer. Previous research neglected to consider the influence of REC on agriculture. The primary objective of the analysis is to analyze the role of REC in sustainable agriculture in Asia, America, Africa, and Europe with the help latest econometric technique of the CS-ARDL model. The findings show that REC and technological capital (TC) improve long-run agriculturalization in the full sample, Asia, Africa, America, and Europe. The results infer that a 1% increase in REC causes agriculturalization to boost by 1.512% in the full sample, 1.254% in Asia, 1.654% in Africa, 0.897% in America, and 1.325% in Europe. In addition, financial development favorably influences long-run agricultural productivity in the full sample, Africa, America, and Europe, and population growth only impacts agricultural productivity in the long run. In contrast, the long-run agricultural productivity is negatively impacted by environmental pollution globally and in Asia. On the other hand, in the short run, TC positively impacts agricultural productivity in all samples, while other short-run estimates are insignificant in most samples. These findings suggest that renewable energy utilization may lead to more effective and resilient agricultural systems by supplying clean and dependable electricity, lowering greenhouse gas emissions, and supporting sustainable resource management.
      Citation: Energy & Environment
      PubDate: 2024-02-16T06:46:02Z
      DOI: 10.1177/0958305X241230622
       
  • Carbon finance and low-carbon technological change: Evidence from China

    • Free pre-print version: Loading...

      Authors: Wenqi Zhang, Zuogong Wang
      Abstract: Energy & Environment, Ahead of Print.
      Promoting carbon finance is considered a solution for supporting climate change mitigation. This article investigates the impact of carbon finance development on low-carbon technological change, exploiting textual analysis technology to measure the low-carbon innovation quality of 2953 CO2 emission allowance enterprises and evaluating the carbon finance index of eight pilots. Our panel regression results from 2014 to 2021 show that carbon finance encourages enterprises with CO2 emission allowances to upgrade their low-carbon innovation quality. The findings remain robust after using a variety of tests, including the instrumental variable (IV) approach, alternative innovation quality measure, replacement patent application with grant, etc. Our heterogeneity results indicate that the effect of carbon finance on low-carbon technological change is only statistically significant in non-state-owned enterprises, resulting from administrative government intervention in China's carbon market. Additionally, enterprises with stronger technology intensity show a statistically significant impact of carbon finance on the quality of low-carbon innovation. Furthermore, the mechanism shows that the effect of carbon finance on low-carbon technological change can be attributed to strengthened R&D intensity and mitigated financial constraints. This study sheds light on the positive significance of carbon finance and has a certain guiding role for the promotion path of China's national carbon market to support low-carbon transformation.
      Citation: Energy & Environment
      PubDate: 2024-02-16T06:08:59Z
      DOI: 10.1177/0958305X241230617
       
  • Optimal sizing and optimization of financial cost for EVs using SPOA-RBFNN
           technique

    • Free pre-print version: Loading...

      Authors: P Kannan, M Sivakumar, R Ruban Raja
      Abstract: Energy & Environment, Ahead of Print.
      This study proposes a hybrid technique for optimal sizing and cost optimization of hybrid energy storage systems (HESS) integrated into electric vehicles (EVs). The proposed technique, SPOA-RBFNN, combines a student psychology-based optimization algorithm (SPOA) and a radial-basis function neural network (RBFNN). The study aims to minimize the overall cost of the HESS by evaluating two design variables: the super-capacitor (SC) and battery pack size. SPOA is employed to optimize the hybrid HESS design variables, ensuring efficient exploration of solution spaces. The RBFNN method is then used to predict the relationship between these design variables and the overall cost of the HESS in electric vehicles. The results show that the proposed technique is more effective than existing techniques, with an efficiency of 97.99039% compared to 82.137% for GA and 77.26589% for particle swarm optimization (PSO). This work offers a comprehensive and innovative approach to optimizing HESS sizing in EVs, connecting the gap between performance optimization and financial cost analysis.
      Citation: Energy & Environment
      PubDate: 2024-02-13T08:05:07Z
      DOI: 10.1177/0958305X231225101
       
  • Analysis of microplastics distributed in the environment: Case studies in
           South Korea

    • Free pre-print version: Loading...

      Authors: Doeun Choi, Sungyup Jung, Jechan Lee, Eilhann E Kwon
      Abstract: Energy & Environment, Ahead of Print.
      The massive production and extensive distribution of microplastics, stemming from postconsumer plastics, have become problematic for the environment and human health. Various studies have reported the hazardous potential and toxicity of microplastics in living organisms, including animals and humans. As a precautionary measure to protect them from microplastic exposure, significant efforts have been made to analyze the distribution of microplastics in the environment. However, each research group individually examined the microplastic distribution in a specific location. Consequently, there is a lack of information regarding the presence of microplastics in wider district units, such as cities and across the nation. In this study, an overview of various case studies in South Korea is provided by discussing the presence and concentration of microplastics in South Korea and examining the reports and research articles on the analysis of microplastic distributions in different locations in South Korea. The current sampling and analysis methods used for microplastic distribution studies were also summarized, along with their technical challenges. The possible sources of primary and secondary microplastics were also discussed to determine the original plastic types of microplastics derived from industries and households.
      Citation: Energy & Environment
      PubDate: 2024-02-13T06:10:33Z
      DOI: 10.1177/0958305X241230616
       
  • Soiling impact and cleaning techniques for optimizing photovoltaic and
           concentrated solar power power production: A state-of-the-art review

    • Free pre-print version: Loading...

      Authors: Sara Benyadry, Mohammed Halimi, Ahmed Khouya
      Abstract: Energy & Environment, Ahead of Print.
      Nowadays, renewable energies are capturing the world's attention, particularly in light of the phenomenon of climate change and carbon dioxide emissions, which have caused major environmental damage. As a result, many investors have recently focused on developing investments in renewable energy projects worldwide, specifically photovoltaic and concentrated solar power plant projects. These solar technologies are considered among the most profitable solutions for generating power from a natural, free, and unlimited energy source. This review paper discusses one of the most significant issues affecting the performance of these solar systems, which is known as soiling. It has been supported by several studies in various nations with different climatic conditions, which offered accurate empirical data on the degradation rate of photovoltaic and concentrated solar power systems’ production due to the soiling effect. Furthermore, it provides various mitigating soiling ways, including manual and autonomous cleaning methods for both solar technologies. Ultimately, it summarizes each cleaning technique's main advantages and drawbacks, specifying its applicability according to the location characteristics and climatic conditions. Additionally, the review results reported in this work are intriguing enough to warrant further development of concentrated solar power and photovoltaic technologies.
      Citation: Energy & Environment
      PubDate: 2024-02-09T06:42:19Z
      DOI: 10.1177/0958305X241230624
       
  • Detecting regional unevenness and influencing factors of ecological
           resilience in China

    • Free pre-print version: Loading...

      Authors: Han Hu, Kegao Yan, Houbao Fan, Tiangui Lv, Xinmin Zhang
      Abstract: Energy & Environment, Ahead of Print.
      Existing research on the state transition process of ecological resilience (ER) has neglected the ultimate goal of enhancing well-being and lacks theoretical framework support. To address these issues, we have innovatively developed a three-dimensional analysis framework of “resistant, absorptive, and restorative capacity” to measure ER. We also explored the regional unevenness and factors influencing ER at the provincial level in China through spatiotemporal evolution analysis and GeoDetector models. The results indicate that: the ecological resilience of Chinese provinces ranges from 0.415 to 0.596, with all provinces falling into the risk or good areas. Furthermore, a fluctuating and increasing trend is observed. The eastern coastal provinces, such as Beijing and Shandong, comprise predominantly good areas of ecological resilience that are distributed in a band manner, while the western provinces, notably Xinjiang, comprise primarily risk areas distributed in a clustered pattern. The per capita electricity consumption, per capita GDP, and patent applications in high-tech industries are identified as the primary factors influencing the spatiotemporal heterogeneity of ecological resilience, and the interaction effects of each factor have synergistic enhancement effects. Spatial ecological resilience displays certain degrees of “nonhomogeneous” agglomeration and spatial heterogeneity. However, no apparent spatial polarization phenomenon is observed. These findings provide valuable insights for cities aiming to address ecological risks and enhance urban resilience.
      Citation: Energy & Environment
      PubDate: 2024-02-09T06:41:19Z
      DOI: 10.1177/0958305X241230619
       
  • Multi-objective optimization for visual, thermal, and cooling energy
           performance of building envelope design in the composite climate of Jaipur
           (India)

    • Free pre-print version: Loading...

      Authors: Pushpendra Kumar Chaturvedi, Nand Kumar, Ravita Lamba
      Abstract: Energy & Environment, Ahead of Print.
      Climate-responsive passive envelope features such as windows, louvers, and shading have significant impact on a building's energy and economic performance. This paper presents a multi-objective optimization (MOO) approach to enhance energy, visual and thermal performances of a building by considering a wide range of numerous design possibilities. A residential apartment building located in a semi-arid composite climate (Köppen climate classification: Bsh) of Jaipur, India is considered for the analysis. The multi-objective optimization approach involves three steps: firstly, developing a base simulation model using Rhinoceros software, and then performing multi-objective optimization by Octopus plugin, and finally applying multi-criteria decision-making to select the optimal values of thermal conductivity, window-to-wall ratio of south and west façades, solar heat gain coefficient, visual light transmittance, window sill height, louvers depth, distance between slits, slits angle, external shade depth, and shade (slits) count. The optimized results reported a six-fold Useful Daylight Illuminance (UDI) improvement, 72% cooling energy demand reduction, and 34% thermal comfort enhancement from the worst-case scenario. The presented approach can aid designers in selecting optimal envelope features during building design, refurbishment, and renovation or for green field development.
      Citation: Energy & Environment
      PubDate: 2024-02-09T06:40:33Z
      DOI: 10.1177/0958305X241228513
       
  • Modeling the long-term relationship between transportation, economic
           growth, poverty and environmental degradation in Tunisia

    • Free pre-print version: Loading...

      Authors: Manel Ouni, Khaled Ben Abdallah
      Abstract: Energy & Environment, Ahead of Print.
      The transportation sector plays a crucial role in driving economic development, reducing poverty, and contributing significantly to environmental impacts. While there have been numerous studies exploring the interconnections among transportation, economic development, and environmental degradation, there hasn’t been extensive research on how poverty affects transport-related CO2 emissions in the Tunisian context. This study aims to address this gap by analyzing the complex relationship between poverty, economic growth, energy consumption in road transport, urbanization, trade openness, road infrastructure, and environmental degradation in the Tunisia's transportation sector from 1980 to 2020. To estimate the long-term relationship between these variables, we use the ARDL bounds test approach. The result of VECM Granger causality test indicates a feedback between road infrastructure, road energy consumption, and transport emissions in both the short and long term. Moreover, our study identifies a bidirectional causality between poverty and transport emissions, emphasizing the importance of poverty alleviation strategies that consider environmental consequences. Our research also reveals a feedback between poverty and road transport infrastructure, as well as between transport emissions and economic growth. These results provide a comprehensive overview of the factors influencing CO2 emissions in the transport sector and their relationship with poverty. They offer a valuable insight to the field of energy and environmental studies, serving as guidance to policymakers, researchers, and practitioners engaged in promoting sustainable transportation practices in Tunisia.
      Citation: Energy & Environment
      PubDate: 2024-02-09T06:39:40Z
      DOI: 10.1177/0958305X241228509
       
  • Can innovation factor agglomeration enhance the government’s
           environmental governance capacity'

    • Free pre-print version: Loading...

      Authors: Jie Zhang, Jiahui Yang
      Abstract: Energy & Environment, Ahead of Print.
      Innovative manpower agglomeration and innovative capital agglomeration provide vitality and guarantees for a country to achieve high-quality development, and the improvement of the government's environmental governance capacity can guarantee the smooth advancement of the country's ecological civilization construction work; thus, it is very important to study the impact of innovation factor agglomeration on the government's environmental governance capacity. Based on this, this article establishes a mediated moderating effect model and a spatial econometric model, adopts the panel data of 30 provinces in China from 2009 to 2020 as an example, and divides innovation factor agglomeration into innovation manpower agglomeration and innovation capital agglomeration to study the relationship between them and the government's environmental governance capacity. The results of the empirical analysis show that (1) both innovation manpower agglomeration and innovation capital agglomeration can significantly promote the improvement of the government's environmental governance capacity. (2) Technological innovation plays a mediating role in promoting the government's environmental governance capacity through innovation factor agglomeration. Voluntary environmental regulation can promote the government's environmental governance capacity, but it attenuates the role of innovation capital agglomeration in promoting the government's environmental governance capacity. (3) Local innovative manpower agglomeration has a significant spillover effect, and innovative manpower agglomeration in neighboring places inhibits the enhancement of local governments’ environmental governance capacity. (4) Innovation capital agglomeration in neighboring places will inhibit the local government's environmental governance capacity, but its effect is much smaller than the promotion effect of local innovation capital agglomeration on the government's environmental governance capacity.
      Citation: Energy & Environment
      PubDate: 2024-02-07T07:25:34Z
      DOI: 10.1177/0958305X241230615
       
  • Global impact of geopolitical oil price uncertainty and associated
           commodity prices on clean energy stocks

    • Free pre-print version: Loading...

      Authors: Oktay Ozkan, Asima Saleem, Nasir Khan, Andrew Adewale Alola
      Abstract: Energy & Environment, Ahead of Print.
      Theoretically, geopolitical risk and policy uncertainties can directly affect energy markets. Since fluctuations in it lead to cost the of clean energy sources as they compete with traditional energy. Regarding this, our study aims to scrutinize the impact of geopolitical oil price uncertainty on clean energy stocks by controlling the influences of economic policy uncertainty, gold, natural gas, and coal prices. For that purpose, the study utilized monthly data from July 2007 to September 2020 and employed a machine learning method, namely kernel-based regularized least squares approach. Empirical analysis reveals that geopolitical oil price uncertainty and coal prices have a nonlinear positive effect on clean energy stock prices. It is also found that the impact of global economic policy uncertainty, gold, and natural gas prices on clean energy stock prices is nonlinear and negative. The implication signifies that clean energy stock prices are hampered by economic policy uncertainty, and gold, and natural gas prices, thus hindering the development of clean energy sources. Similarly, for the robustness of the study, the quantile regression approach and findings reveal similar outcomes to that of the KRLS model. Based on these findings, policy implications that potentially aid renewable energy investments are put forward. The study also guides investors, financial advisors, and portfolio managers for better decision-making in consideration of uncertainties and associated fluctuations in energy markets and commodity prices.
      Citation: Energy & Environment
      PubDate: 2024-02-02T05:17:28Z
      DOI: 10.1177/0958305X231225303
       
  • Enhancing the arch-fired low-NOx performance with a throat overfire air
           for lowering NOx and hopper overheating

    • Free pre-print version: Loading...

      Authors: Shuting Cheng, Min Kuang, Jiaqi Chen, Shengchen Qi
      Abstract: Energy & Environment, Ahead of Print.
      Upon the background of China's dual-carbon energy and environment strategies and the requirements of green and sustainable development in the new era, how to gradually reduce coal consumption while at the same time enhance the efficient and clean use of coal and reduce pollutant emissions is attracting more and more attention. For a 600-MWe arch-fired furnace facing persistent challenges of high NOx output and an overheating risk in hopper as firing anthracite, a cascade-arched low-NOx and high-efficiency configuration (CLHC) was taken as an alternative to the existing multiple-injection and multiple-staging combustion technique (i.e., the MIMSCT, denoted as the reference furnace or technique in this study). In particular, along the furnace height the CLHC's overfire air (OFA) position in the burnout zone has an important influence on the low-NOx performance due to the shrunk furnace-arch space and a short upper furnace. Aiming at evaluating the OFA-location effect and confirming the CLHC in resolving the above problems, industrial-scale experiments and modeling were performed in the reference furnace and thereafter, the low-NOx characteristics with the CLHC was simulated considering three different OFA locations of the upper-furnace OFA, throat OFA, and arch OFA. In the OFA-location elevated order, the blending position of OFA and the main upward gas first lowered and then elevated, while the OFA penetration, overall combustion performance, and major low-NOx accomplishment indexes related to NOx yield and burnout loss initially improved but then deteriorated. As a result, the medium throat OFA presented the optimal low-NOx merit among the three setups, with the unburnt combustible of 5.3% in fly ash alongside NOx yield of 660 mg/m3 (O2 = 6%), respectively. By comparison to the reference technique, the CLHC gained a 30% NOx reduction ratio without affecting burnout and greatly relieved the hopper overheating issue via reducing sharply its temperatures by 400 K, thereby confirming the CLHC's viability. This study provided guidance on the safe furnace operations and reduction of pollutant emissions, benefiting the efficient and environmentally friendly usage of low-quality coals in industrial-scale furnaces.
      Citation: Energy & Environment
      PubDate: 2024-02-01T05:29:22Z
      DOI: 10.1177/0958305X241228516
       
  • Wind speed and wind power forecasting models

    • Free pre-print version: Loading...

      Authors: M. Lydia, G. Edwin Prem Kumar, R. Akash
      Abstract: Energy & Environment, Ahead of Print.
      Sustainable energy resources have proved to be the best alternative in the wake of environmental degradation, depletion of ozone layer and ever-increasing demand for energy. Though wind energy is a promising resource, the non-linear nature and non-stationary characteristics of wind have remained a formidable challenge. Variability in wind power has posed numerous challenges in managing the power systems, especially in grid evacuation, penetration and integration. Forecasting wind is one of the powerful solutions to solve this problem. As the penetration of renewable energy sources is poised to increase in future, an accurate prediction can go a long way in helping the electricity grid to perform well. This article presents a review of existing research and recent trends in the forecasting of wind power and speed with a critical analysis of the contribution of every researcher. A review of forecasting technologies, data, time horizons, various forecasting approaches and error metrics has been presented in detail. The plethora of research issues that continue to challenge power system operators, wind farm owners and other stakeholders has been highlighted. The development of models for wind power or wind speed forecasting with excellent reliability and outstanding accuracy is the need of the hour.
      Citation: Energy & Environment
      PubDate: 2024-02-01T05:28:44Z
      DOI: 10.1177/0958305X241228515
       
  • Role of eco-innovation and financial globalization on ecological quality
           in China: A wavelet analysis

    • Free pre-print version: Loading...

      Authors: Huiwen Zhang, Khatib Ahmad Khan, Babatunde Sunday Eweade, Tomiwa Sunday Adebayo
      Abstract: Energy & Environment, Ahead of Print.
      Today, pressing environmental concerns such as addressing climate change and countering global warming have taken center stage among policymakers and diverse organizations. The 2016 Paris Agreement underscores the urgency of decarbonization and the criticality of reducing CO2 emissions for fostering sustainable development. Given that environmental policies can yield diverse impacts across short-, medium-, and long-term periods, it becomes pivotal for policymakers to grasp the underlying causes of ecological footprint by scrutinizing their effects across these different timeframes and periods. Consequently, our investigation delved into the correlation and lead/lag interrelationship between ecological footprint, financial globalization, urbanization, eco-innovation, and economic growth in China spanning from 1985q1 to 2022q4. Leveraging on series of wavelet tools, our study aimed at formulating precise policies. The economic perspective derived from the wavelet analysis indicated a negative correlation between urbanization and eco-innovation with the ecological footprint, whereas economic growth and financial globalization exhibited a positive correlation with the ecological footprint. Consequently, we advocate for the implementation of appropriate policy measures to ensure that the Chinese economy charts a course toward sustainability.
      Citation: Energy & Environment
      PubDate: 2024-01-31T05:29:43Z
      DOI: 10.1177/0958305X241228518
       
  • Time, frequency, and quantile-based role of R&D investments in energy on
           sectoral degradation in the United States

    • Free pre-print version: Loading...

      Authors: Mustafa Tevfik Kartal
      Abstract: Energy & Environment, Ahead of Print.
      An important part of environmental pollution has resulted in energy consumption, the level of environmental pollution varies across sectors, and energy R&D investments have been strategic tools in this respect. Considering this fact, the research studies the role of R&D investments in energy on CO2 emissions by focusing on the USA case as pioneering R&D investing country in energy technologies. In this context, the study makes a disaggregated level analysis and performs various nonlinear methods to data between 1975/Q1 and 2020/Q4. The nonlinear empirical results demonstrate that (i) R&D investments have a strong dependency on sectoral CO2 emissions across times and frequencies; (ii) at higher quantiles, R&D investments in nuclear energy have a generally declining impact on power and building sector CO2 emissions, whereas R&D investments in renewable energy stimulate sectoral CO2 emissions; (iii) R&D investments are causally effective on sectoral CO2 emissions across various quantiles; (iv) R&D investments in total curb generally sectoral CO2 emissions. The research demonstrates that R&D investments in energy on sectoral CO2 emissions have a varying heterogonous impact based on time, frequency, quantile, and R&D types. Thus, USA policymakers should include time, frequency, quantile, R&D types, and sector-based differentiating impacts to curb sectoral CO2 emissions in re-formulating energy environmental policy framework as a critical issue for ensuring sustainable development. Accordingly, various policies (e.g. relying on nuclear R&D investments, re-balance distribution of the R&D investments among the alternatives, consideration of sectoral differences) are discussed.
      Citation: Energy & Environment
      PubDate: 2024-01-31T05:29:22Z
      DOI: 10.1177/0958305X241228508
       
  • Profit analytics in disruption risk for electrical energy supply network
           considering cost-oriented big data

    • Free pre-print version: Loading...

      Authors: Hamed Fazlollahtabar, Roya Ahmadiahangar
      Abstract: Energy & Environment, Ahead of Print.
      Electrical energy consumption varies in different markets. Several different types of generators are used to supply electricity for consumers. The balance between supply and demand leads to prevent lack of energy. Nonetheless, with the growing number of markets and consumers, larger amount of data is generated making the analysis harder. Thus, decision support architecture for analytical purposes is significant. Large amount of data, recently called Big Data, is one of the significant sources of gaining and analyzing information as a decision support for electrical energy markets (EEMs). Market policymakers are emphasizing the impact of analytical approaches for business strategy setting in power supply and consumption to mitigate the risk of power failure and disruptions. In this article, the EEM influenced by big data of supply and demand and disruption is investigated to achieve power business continuity. A comprehensive architecture for EEM process is proposed. Supply and demand cost analysis is performed based on disruptions for an EEM. A pricing-based profit scenario optimization in a dynamic supply network having multiple power states is worked out. Numerical experiment is performed to show the effectiveness of the proposed paradigm based on data management.
      Citation: Energy & Environment
      PubDate: 2024-01-18T06:53:21Z
      DOI: 10.1177/0958305X231225599
       
  • Confirming the efficacy of a new arch-firing solution in safely
           strengthening low-NOx combustion within a large-scale furnace: Impact of
           the flue gas recirculation position in burners

    • Free pre-print version: Loading...

      Authors: Sheng Liu, Min Kuang, Shuting Cheng, Xiaoyang Wu, Guozhu Ding
      Abstract: Energy & Environment, Ahead of Print.
      To address the persistently high NOx production and the heightened overheating risk in the hopper of a 600-MWe, deep-air-staging, arch-fired boiler furnace (i.e., the reference furnace), a solution was devised with a staged arch-firing framework (SAF) and flue gas recirculation (FGR). This required establishing an appropriate position for the burner-FGR and confirming the viability of the SAF for the furnace. Comprehensive industrial-scale physical tests and computer simulations were conducted using the reference furnace. Subsequently, the furnace with SAF was examined with FGR introduced sequentially, first using a fuel-rich mixture, then using an inner secondary-air flow, and finally using an outer secondary-air flow (i.e., denoted in turn as FGR-FR, FGR-IS, and FGR-OS). Given this FGR-location order, the FGR’s functions about combustion degradation and NO inhibition weakened, resulting in increased NOx emissions and continuously decreasing burnout loss. Considering the satisfactory burnout levels across all three configurations, the FGR-FR configuration demonstrated the best reduction in NOx emissions, achieving NOx output of about 600 mg/m3 (O2 = 6%) and an unburnt combustible rate in fly ash of about 5%. Comparing the conditions before and after implementing the SAF indicated that the SAF enhanced combustion intensity and improved the utilisation of overfire air and hopper air, resulting in a further 33.3% reduction in NOx emissions without compromising burnout efficiency. Additionally, the SAF effectively mitigated the overheating risk in the hopper by significantly lowering local temperature levels by 400 K.
      Citation: Energy & Environment
      PubDate: 2024-01-18T06:02:58Z
      DOI: 10.1177/0958305X231225301
       
  • Stimulating energy efficiency by low-carbon transformation: Evidence from
           low-carbon city pilot in China

    • Free pre-print version: Loading...

      Authors: Qingxi Wang, Yueji Xin, An hu, Yanan Du
      Abstract: Energy & Environment, Ahead of Print.
      The improvement of energy efficiency has always attracted significant attention from the government and academia since it is a critical step toward energy efficiency, emission reduction, and low-carbon growth. The low-carbon city pilot is launched in the process of gradual marketization of environmental regulation, and its impact on energy efficiency is of great significance. Using panel data for 280 cities in China from 2007 to 2019, this study explores the local and spatial spillover effects of low-carbon city pilot on energy efficiency using difference-in-difference and spatial difference-in-difference models. The results reflect that low-carbon city pilot improves energy efficiency and that technological innovation, industrial structure upgrading and government orientation can successfully enhance its effects. Moreover, we find that the pilot policy has a negative spillover effect in resource-based and central-western cities, while the spillover effect is not significant in the non-resource-based and eastern regions. This study sheds light on the implementation of low-carbon city pilot to promote urban low-carbon development.
      Citation: Energy & Environment
      PubDate: 2024-01-16T02:04:40Z
      DOI: 10.1177/0958305X231223765
       
  • Effective regeneration of deactivated Raney-Ni catalyst during multiphase
           hydrogenation of vegetable oil

    • Free pre-print version: Loading...

      Authors: Muhammad Ali, Iqrash Shafiq, Murid Hussain, Parveen Akhter, Farrukh Jamil, Young-Kwon Park
      Abstract: Energy & Environment, Ahead of Print.
      Raney nickel is extensively used as a catalyst in the hydrogenation of vegetable oils. However, it deactivates over time and is known as a spent nickel catalyst, which is potentially hazardous to the environment. By contrasting different approaches, a straightforward and original strategy for regenerating spent nickel catalyst was developed by comparing various methods. The fresh, spent nickel catalyst, and treated catalyst samples were characterized using X-ray diffraction, Fourier transform infrared, atomic absorption spectroscopy, scanning electron microscopy, energy dispersive X-ray spectroscopy, and color scheme analyses. The results showed that the catalyst deactivation was primarily due to oil deposition over the active sites, agglomeration of catalyst, and entrainment of nickel during hydrogenation. Using n-hexane as the solvent with a spent nickel catalyst-to-solvent ratio of 1:12 (g/mL), a 65 °C temperature, and a two-hour extraction time, ultrasonication-assisted solvent extraction of spent nickel catalyst proved to be the most effective and efficient process for regeneration.
      Citation: Energy & Environment
      PubDate: 2024-01-10T07:42:08Z
      DOI: 10.1177/0958305X231225109
       
  • The N-shaped environmental Kuznets curve for biodiversity loss: A count
           data analysis

    • Free pre-print version: Loading...

      Authors: Thian-Hee Yiew, Lin-Sea Lau, Ai-Lian Tan, Yan-Ling Tan
      Abstract: Energy & Environment, Ahead of Print.
      While South and Southeast Asian countries have experienced resilient economic growth over the years, the region has also been a global hotspot for biodiversity loss. Thus, this study examines the income-biodiversity loss nexus within the framework of the N-shaped environmental Kuznets curve (EKC) for South and Southeast Asian countries by employing annual sample data over the period of 2013–2019. The N-shaped nexus between income and biodiversity loss is analyzed using the negative binomial regressions to deal with count outcomes and to overcome the over-dispersion issues. The estimation results consistently depict that the N-shaped EKC hypothesis holds true for South and Southeast Asia in both the aggregated model and disaggregated models (eight taxonomic groups). It is discovered that the threatened species rises when income reaches between $11,607 and $16,329 and declines when income goes to $38,880 and $52,303 over the sample period. Agricultural land and threatened species are positively related. Further, the control of corruption can lessen the decline in biodiversity. Our study reveals some important policies to achieve sustainable development without affecting the health of ecosystems in South and Southeast Asia.
      Citation: Energy & Environment
      PubDate: 2024-01-10T06:57:47Z
      DOI: 10.1177/0958305X231225295
       
  • Sonochemically synthesized novel CNTs-PANI/CoNi(PO4)2 nanocomposites with
           enhanced electrochemical energy storage performance for asymmetric
           supercapacitor applications

    • Free pre-print version: Loading...

      Authors: Muhammad Ramzan Abdul Karim, Waseem Shehzad, Muhammad Atif, Ehsan ul Haq, Zaheer Abbas
      Abstract: Energy & Environment, Ahead of Print.
      Carbon nanotubes (CNTs) were polymerized with polyaniline (PANI) via an in-situ polymerization approach. These functionalized CNTs (PANI-CNTs) were added in various concentrations to the sono-chemically synthesized Co-Ni binary transition metals phosphate (CoNi(PO4)2) to ultimately have their nanocomposites. Electron microscopy (SEM & HRTEM) was employed to reveal the morphology and microscopic features. The structural evaluation of metal phosphate and PANI/CNTs was done by X-ray diffractometer analysis, whereas chemical grafting of cobalt nickel phosphate (CoNi(PO4)2) was done by Fourier transformed infrared spectroscopy and Raman spectroscopy. The hierarchical structured CoNi(PO4)2 with 40 mg PANI/CNTs mass (CNP40) presented enhanced specific capacity of 1268 Cg−1 (2136 F g−1 at 1.5 F g−1) with excellent diffusive behavior (b = 0.5). A resulted hybrid supercapacitor device consisting of CNP40 as +ve electrode and activated carbon AC) as −ve electrode, presented excellent energy density of ∼87 Whkg−1 with good power density of 680 W kg−1 maintained to 32.9 W kg−1 (@ 20,400 W kg−1) with 37% rate performance, and excellent cyclic performance (∼100%) after 5000 charge-discharge cycles. Furthermore, capacitive-diffusive analysis revealed that the device showed 55% diffusive and 45% capacitive behaviour. This improved electrochemical performance might be attributed mainly to the uniform and hierarchical chemical grafted morphology of the novel combination of binary phosphates and PANI functionalized CNTs in the nanocomposite obtained via a rather different sonochemical approach.
      Citation: Energy & Environment
      PubDate: 2024-01-03T05:43:28Z
      DOI: 10.1177/0958305X231221260
       
  • Does artificial intelligence promote green innovation' An assessment based
           on direct, indirect, spillover, and heterogeneity effects

    • Free pre-print version: Loading...

      Authors: Qiang Wang, Tingting Sun, Rongrong Li
      Abstract: Energy & Environment, Ahead of Print.
      This paper investigates the intricate relationship between artificial intelligence (AI) and green innovation within the context of sustainable development goals. As societies strive to achieve sustainability, understanding the dynamics between technological advancements and environmental progress becomes paramount. Drawing from panel data encompassing 51 countries between 2000 and 2019, this study employs fixed-effects models, mediated effects models, and spatial Durbin models to meticulously examine the influence of AI on green innovation. The empirical findings reveal a robust and significantly positive correlation between AI and green innovation, highlighting the critical role of AI in fostering environmental innovation. Heterogeneity analysis across developed and developing economies delineates variations in the impact of AI on green innovation, shedding light on the influence of economic development levels and financial structures. Developed nations showcase a more pronounced AI-green innovation relationship compared to their developing counterparts, highlighting the complexities of technology adoption within distinct economic landscapes. Moreover, this study delves into the transmission mechanisms underlying the AI-green innovation nexus, revealing the mediating roles of industrial structure and human capital. Industrial upgrading and the enhancement of human capital emerge as crucial pathways through which AI indirectly stimulates green innovation. Spatial analyses reveals the spatial relevance of green innovation globally, emphasizing AI's substantial impact not only within domestic spheres but also across neighboring regions. There are significant direct, indirect, and total effects of AI on green innovation, highlighting its spillover characteristics and the catalytic role it plays in driving collaborative AI development on a global scale. This research contributes nuanced insights into the interplay between AI and green innovation, providing a foundation for policymakers, businesses, and researchers to comprehend the multifaceted dimensions of technological interventions in fostering sustainable innovation. The findings emphasize the imperative of collaborative efforts in utilizing AI's potential to propel green innovation, thereby advancing global sustainability agendas.
      Citation: Energy & Environment
      PubDate: 2023-12-26T07:16:44Z
      DOI: 10.1177/0958305X231220520
       
  • Do tourism and CO2 emission predict technological innovation in developing
           countries: Examining Porter and innovative Claudia curve hypothesis

    • Free pre-print version: Loading...

      Authors: Tafazal Kumail, Wajahat Ali, Farah Sadiq, Mujtaba Baqar
      Abstract: Energy & Environment, Ahead of Print.
      The accelerating concentration of CO2 emissions is attributed to human activities worldwide, leading to increased greenhouse gas emissions. There is an outcry for innovations to combat the environmental threat to even the existence of the human race. From this perspective, the current study aims to analyze the significance of technological innovation, tourism development, economic growth, and human development from the environmental perspective under the idea of carbon neutrality from 1996 to 2019. The study utilized dynamic ordinary least squares (DOLS) to estimate the relationship between the study variables and the panel vector error correction model to showcase the variables’ short and long-run connections. Results reveal that CO2 emissions positively affect technological innovations, which is evidence of the Porter hypothesis. The study showed that the gross domestic product, tourism, and human development index are good innovation indicators and supported the growth-led innovation hypothesis. This study supports the innovative Claudia curve theory between technology and CO2 emissions. Moreover, the study also investigated the Environmental Kuznets Curve (EKC) hypothesis during the study period. The causality analysis also supports the long-run results of DOLS. Based on the results, the study has implications for future researchers, policymakers, and regulatory bodies in developing countries to achieve carbon neutrality and Agenda 2030.
      Citation: Energy & Environment
      PubDate: 2023-12-26T06:28:31Z
      DOI: 10.1177/0958305X231222164
       
  • Cross-sectional dependence in financial openness and its influence on
           renewable energy consumption in Asia

    • Free pre-print version: Loading...

      Authors: Lei Wang, Muhammad Hafeez, Sana Ullah, Izzet Ulvi Yonter
      Abstract: Energy & Environment, Ahead of Print.
      Renewable energy is known for its lower environmental impact compared to conventional fossil fuels. The integration of financial openness plays a pivotal role in driving renewable energy consumption. The existing literature has predominantly overlooked the nonlinear impact of financial openness on renewable energy consumption. This study examines the nonlinear impact of financial openness on renewable energy consumption across different regions in Asia, such as Central Asia, East Asia, South Asia, Southeast Asia, and West Asia, by employing linear and nonlinear cross-sectionally augmented autoregressive distributed lag techniques. The findings of the linear analysis confirm that financial openness favorably impacted renewable energy consumption in the long run in all regions. On the other side, the nonlinear analysis highlights that an increase in financial openness promotes renewable energy consumption in all regions except West Asia. In contrast, the fall in financial openness hurt renewable energy consumption in Asia, Central Asia, and West Asia. Greenhouse gas emissions and GDP promote renewable energy consumption in almost all regions in both linear and nonlinear analysis, and ICT and trade help the consumption of renewable energy to rise in some regions. Policymakers in Asia and its subregions should focus on increasing the collaboration between the financial sectors of the Asian economies and increasing the flow of funds to renewable energy sources in Asia.
      Citation: Energy & Environment
      PubDate: 2023-12-26T06:24:59Z
      DOI: 10.1177/0958305X231219786
       
  • Reexamining the impact of financial development on ecological footprint:
           The roles of population aging, per capita GDP, and technological
           innovation

    • Free pre-print version: Loading...

      Authors: Rongrong Li, Sailan Hu, Xinchen Cheng, Qiang Wang
      Abstract: Energy & Environment, Ahead of Print.
      Existing research results on the impact of financial development on ecological footprint are inconsistent or even opposite. In order to better understand the impact of financial development on ecological footprint, this study explores the relationship between financial development and ecological footprint from the perspectives of population aging, GDP per capita, and technological innovation. The results show that when the population aging level is below the threshold, the coefficient of financial development on ecological footprint is 0.285, but when the aging level exceeds the second threshold, the coefficient of financial development on ecological footprint becomes faint negative. Similarly, after per capita GDP crosses the threshold, the correlation coefficient between financial development and ecological footprint turns from positive to faint negative. Compared to this, when the level of technological innovation is below the threshold, the coefficient of financial development and ecological footprint is 0.155, while when the level of technological innovation is above the threshold, the coefficient of financial development and ecological footprint is −0.597. The above results indicates that the impact of financial development on the ecological footprint is affected by other factors. Compared with changes in population structure (aging) and social wealth (GDP per capita), technological innovation has a greater impact on the relationship between financial development and ecological footprint.
      Citation: Energy & Environment
      PubDate: 2023-12-26T06:24:20Z
      DOI: 10.1177/0958305X231215322
       
  • The effect of gas and oil prices on economic confidence: An empirical
           analysis for euro area

    • Free pre-print version: Loading...

      Authors: Sabri Burak Arzova, Hasan Murat Ertuğrul, Bertaç Şakir Şahin
      Abstract: Energy & Environment, Ahead of Print.
      Energy prices are determinants of economic confidence by directly affecting production, consumption, and transportation costs. Nevertheless, countries’ energy policies and macroeconomic and geopolitical developments may moderate the impact of energy prices on economic confidence. This study analyzes the effects of oil and gas prices on business and confidence in the Euro Area over the period 1994–2023. We employ non-linear correlation and regression models to investigate the spillover relationship between the variables. For this purpose, the Markov Switching Regression (MSR) model is employed to analyze the spillover effect of oil and gas prices on both consumer and business confidence. The empirical results show that oil and gas prices harm consumer confidence in all regimes. Oil prices have a positive effect on business confidence in a volatility regime. However, oil prices negatively affect business confidence in low volatility, but this effect is insignificant. The effect of gas prices on the business confidence index is negative and statistically significant during periods of high volatility. Besides, gas prices positively affect business confidence for low volatility.
      Citation: Energy & Environment
      PubDate: 2023-12-20T07:26:43Z
      DOI: 10.1177/0958305X231222166
       
  • Enhancement of biodiesel production using magnetic nanocatalyst CrFe2O4
           from mixed waste cooking oil by an empirical model

    • Free pre-print version: Loading...

      Authors: C Arul Jerman, S Julyes Jaisingh, Ajith J Kings, RS Rimal Isaac
      Abstract: Energy & Environment, Ahead of Print.
      Biodiesel has achieved widespread recognition as an unconventional energy source, despite its extra manufacturing cost and sustainable resources. Mixed waste cooking oil is one of the best feedstock for sustainable biodiesel production. This study looked at the prospect of using the easily separable magnetic nanocatalyst CrFe2O4 to reduce the manufacturing cost and being used in both esterification and transesterification simultaneously with less percentage of 0.5, produced the highest oil conversion. Before being used in conversion process, the magnetic nanocatalyst underwent Fourier transform infrared, XRD, scanning electron microscope, TGA, AFM, and BET analysis to evaluate its characteristics. Response surface methodology was employed in the conversion process and achieved 97% yield with the utilization of 0.4 (v/v) methanol/oil ratio, 0.5 wt. % catalyst concentration, 600 rpm stirring speed, and the duration of 80 min. The effect of methanol consumption and time was considerably more significant than the effect of stirring speed and catalyst usage, according to the analysis of variance. The generated biodiesel met all physicochemical characteristics with high potential, according to ASTM and EN standards. Right combinations of saturated and unsaturated fatty acids confirm the promising feasibility of the application of waste biomass feedstocks as an alternate option for the sustainable, cost effective and energy efficient synthesis of biodiesel production.
      Citation: Energy & Environment
      PubDate: 2023-12-18T06:57:05Z
      DOI: 10.1177/0958305X231215311
       
  • Dynamic 6E analysis of a novel power and freshwater production based on
           integration of combined cycle power plant-MED-TVC-RO-STC-ORC systems

    • Free pre-print version: Loading...

      Authors: Mahdi Movasaghi Gilani, Masoud Torabi Azad, Mohammad Hassan Khoshgoftar manesh, Kamran Lary, Gholamreza Salehi
      Abstract: Energy & Environment, Ahead of Print.
      In this study, a novel power and potable aqua creation system has been proposed based on a combination of the gas cycle, steam cycle, multieffect desalination (MED), reverse osmosis (RO) desalination units, organic Rankine cycle (ORC), and the solar thermal collector (STC). In this regard, the Energy, Exergy, Exergoeconomic, Exergoenvironmental, Emergoeconomice, and EmergoEnvironment (6E) assessments and further dynamic analysis are executed on the novel suggested system. Dynamic analysis helps us to understand the system performance at different times. The validation has been performed based on THERMOFLEX simulation and base references with high accuracy. The results show that the proposed system produces 60 and 73.61 kg/s of freshwaters, respectively. The gas cycle generates 25 MW of power standing alone, and adding ORC as the bottom cycle can generate 4.89 MW extra power using the excess energy of the gas cycle, which elevates the system's thermal efficiency from 36.51 to 43.27%. Using a thermal vapor compressor (TVC) in the MED unit reduces the demand for motive steam from 12.59 to 5.38 kg/s, increasing this unit's performance ratio (PR) from 4.76 to 11.15. Integrating the system with the STC improves the system's thermal efficiency from 42.82 to 43.27 percent.
      Citation: Energy & Environment
      PubDate: 2023-12-18T06:32:46Z
      DOI: 10.1177/0958305X231217642
       
  • Characteristics of heavy metals in road dust: An overview of South Korean
           cases

    • Free pre-print version: Loading...

      Authors: Doeun Choi, Jechan Lee, Kun-Yi Andrew Lin
      Abstract: Energy & Environment, Ahead of Print.
      The urbanization and industrialization of our society necessitate the extension of road traffic systems. Road dust generated by road traffic is harmful to the human respiratory system. In particular, heavy metals adsorbed on road dust can pose substantial risks to human health owing to their toxicity, environmental longevity, and ability to accumulate in the human body. Although the evaluation of the concentration of heavy metals in road dust is essential for understanding their sources and risks to human health, there is a lack of comprehensive information on the heavy metal content in road dust in South Korea. In this review, sampling methods and analytical techniques for characterizing the contents of various heavy metals in road dust collected from different regions of South Korea are discussed. Cu, Zn, Cd, Pb, Ni, Cr, As, and Hg are the most frequently found heavy metals in road dust, and their concentrations are strongly associated with the sampling locations (e.g., industrial vs. residential sites and rural vs. urban areas) and particle size of the road dust. Road dust samples collected from more industrialized regions tend to contain more heavy metals. Further, smaller dust particles are likely apt to contain more heavy metals. The application of non-destructive analytical techniques is also necessary for the accurate characterization of heavy metals in road dust.
      Citation: Energy & Environment
      PubDate: 2023-12-18T04:32:55Z
      DOI: 10.1177/0958305X231221074
       
  • Formulating an optimization algorithm for optimal planning and assessment
           

    • Free pre-print version: Loading...

      Authors: K. P. Dinakaran, P. Bhanu, C. Sridhathan, L. Umashankar
      Abstract: Energy & Environment, Ahead of Print.
      This manuscript presents a logical-based method with a constrained programming approach for making use of the principle. The proposed optimal approach is the improved chameleon swarm algorithm (ICSA). The navigating and hunting behavior of CSA is improved with the crossover and mutation processes, and it is defined as the ICSA approach. The proposed hybrid approach is the number one power consumption, greenhouse gas, and total annual cost (TAC), in addition to including conditions largely based entirely on the monitoring approach, which is a mixture of those standards. These three power-corresponding parameters have been exploited to examine the overall performance of every method corresponding to the absorbed power providers employing the construction call for requests. The calculation of the established effectiveness for four varieties of residents’ homes suggests the not-infrequent place hybrid method. This increases the exploitation of the cogeneration system as well as the proposed method because the most appropriate techniques include measures capable of obtaining excellent conciliation answers done with TAC at 55%, primary energy consumption (PEC) at 14%, and greenhouse generation (GHG) at 9% discounts correspondingly. However, the proposed method obtains optimum discounts in TAC and optimum overall performance for power matching by utilizing identical boundaries for GHG and PEC in assessment to the always infrequent place hybrid technique. The prey-in cost for energy era with nearly 60 in TAC is perceived as the maximum leading monetary constraint for sensibility evaluation when micro-cogeneration units use over 3% gain and are the most disrupted outcome for randomly evaluated.
      Citation: Energy & Environment
      PubDate: 2023-12-18T04:29:26Z
      DOI: 10.1177/0958305X231217635
       
  • Transmission mechanism of public concern in waste-sorting policy: Evidence
           from text mining

    • Free pre-print version: Loading...

      Authors: Binfeng Shi
      Abstract: Energy & Environment, Ahead of Print.
      An escalating amount of urban waste poses a significant threat to the sustainable growth of cities. Therefore, a waste-sorting policy is crucial for the advancement of humankind. The implementation of a waste-sorting policy relies heavily on public participation to ensure effective governance. This study examines public participation in urban waste-sorting by mining more than 580,000 microblog texts related to waste-sorting from 2012 to 2022, using data from Sina Weibo, China's leading social media platform. My findings indicate that (1) residents’ attention to and support for mandatory waste-sorting policies varies by region; (2) widespread public interest stimulates publicity, education, and commercial entertainment related to waste-sorting policies and investment in thematically related sectors; (3) residents in regions with high education and income levels are more likely to generate waste and pay greater attention to waste-sorting policies; and (4) the promotion of waste-sorting policies affects knowledge dissemination. This study combines textual analysis and econometric techniques to offer a fresh perspective on the significance of public participation in promoting waste-sorting policies. It serves as an invaluable resource for governments to implement waste-sorting policies.
      Citation: Energy & Environment
      PubDate: 2023-12-13T03:35:42Z
      DOI: 10.1177/0958305X231217634
       
  • Biochar catalysts from animal manure: Production and application

    • Free pre-print version: Loading...

      Authors: Wooyoung Yang, Young-Kwon Park, Jechan Lee
      Abstract: Energy & Environment, Ahead of Print.
      Biochar is a sustainable functional material rich in carbon, derived from renewable resources such as biowaste (e.g., animal manure). It has unique chemical structure, large surface area and porosity, and tailored surface functional groups via proper activation and/or functionalization, thereby having high potential as heterogeneous catalytic materials applied to different chemical processes. Therefore, using animal manure-derived biochar as catalytic materials could be key to sustainable agriculture and chemical industries. Recent recognition of animal manure-derived biochars as versatile media of catalytic applications has encouraged rudimentary studies on their catalytic capabilities; however, the use of animal manure-derived biochar as catalytic materials has not been systematically reviewed yet. This review gives an overview of recent achievements in producing biochar from animal manure and subsequent modification methods. The catalytic properties of the biochar with respect to its production/modification recipes are also discussed. Furthermore, the catalytic performances of animal manure-derived biochars for different catalytic applications, such as transesterification, hydrogen production, hydrolysis, C–C coupling reactions, and electrodes for oxygen reduction reaction, supercapacitor, and lithium-ion battery, are evaluated.
      Citation: Energy & Environment
      PubDate: 2023-12-12T06:56:12Z
      DOI: 10.1177/0958305X231219787
       
  • Supply chain performance, information and communication technology capital
           formation, and green growth in top carbon emitter economies

    • Free pre-print version: Loading...

      Authors: Huang Ren, Xu Qifeng, Guan Yongjun, Xu Yunbao, Hu Gaole
      Abstract: Energy & Environment, Ahead of Print.
      The emergence of green growth has proved vital for achieving sustainable development goals, and a supply chain can expedite the nation's journey toward green growth. This analysis aims to investigate the impact of supply chain performance and information and communication technology on green growth in top polluted economies by controlling the impact of education, financial development, renewable energy consumption, and foreign direct investment. For empirical analysis, we have employed the ordinary least squares, two-stage least squares, and generalized methods of moments. The main findings of the study confirm that logistics performance, infrastructure, and services are vital in promoting green growth. The diffusion of information and communication technology, education, the use of renewable energy, and financial development all help to achieve green growth. We suggest that firms should invest in green manufacturing practices, intelligent distribution networks, and better and energy-efficient logistics infrastructure, which can help the economies keep the environmental impact of economic growth at bay. Thus, our results emphasize the priorities of supply chain performance and information and communication technology diffusion in top carbon emitter economies.
      Citation: Energy & Environment
      PubDate: 2023-12-12T05:26:09Z
      DOI: 10.1177/0958305X231215318
       
  • Towards a greener future: Assessing the impact of carbon emission trading
           on urban carbon efficiency in China

    • Free pre-print version: Loading...

      Authors: Lulu Liu, Yanyin Lv, Da Gao, Xinlin Mo
      Abstract: Energy & Environment, Ahead of Print.
      The pursuit of a low-carbon transition is central to achieving green development worldwide, and China has embraced carbon emissions trading (CET) with the aim of achieving high-quality economic development. Despite its critical policy importance, the question of whether and how CET promotes carbon efficiency remains unclear. Using unique panel data covering prefecture-level cities in China from 2007 to 2020, this study first fills this gap by constructing the Global-EBM model and taking carbon dioxide as an undesirable output to innovatively evaluate the total factor carbon emission efficiency (TFCEE) of China's cities. Second, as an extension of the existing provincial evidence, we treat the carbon trading scheme in urban China as a quasi-natural experiment and confirm the boosting effect of CET on TFCEE in the pilot cities. Third, the mediating roles of both green technology innovation and industrial structure upgrading in the process of promoting carbon efficiency are identified, further demonstrating the channel influences. Finally, the heterogeneous impact of the CET policy is further investigated and found to be stronger in eastern and developed cities. Our findings have important policy implications for China's green transition.
      Citation: Energy & Environment
      PubDate: 2023-12-11T05:39:21Z
      DOI: 10.1177/0958305X231217646
       
  • Dynamic analysis and influence mechanism of digital technology diffusion
           in the energy industry based on the evolutionary game model of complex
           networks

    • Free pre-print version: Loading...

      Authors: Jiajun Ning, Xiyu Li, Yuan Gao
      Abstract: Energy & Environment, Ahead of Print.
      Promoting digital technology is a crucial measure through which countries can enhance technological innovation and energy efficiency in the energy industry. The digital transformation of the energy industry is a systematic phenomenon, which involves the interaction and strategic game between power generation enterprises and electricity-selling enterprises. To comprehend the law of digital technology diffusion, which regulates the energy industry, this study, which considers energy enterprises, analyzes the dynamic evolution process pertaining to digital transformation strategy selection based on the evolutionary game model of complex networks. This study highlights the decision-making behavior that is associated with the micro subject's strategy selection. The results indicate the following: (1) The number of energy enterprises adopting the digital transformation strategy continually increases, and the adopting enterprises gradually attain a dominant position. (2) Co-creation benefits that are occasioned by the collaboration that characterizes digital transformation accelerate the diffusion of digital technology in energy enterprises. (3) Due to the learning curve, the cost of digital technology research and development decreases, which accelerates the proliferation of digital technology in energy enterprises. (4) When the government incentive subsidy is high, the diffusion degree of the digital technology exhibited by the energy enterprises becomes higher.
      Citation: Energy & Environment
      PubDate: 2023-12-04T01:33:45Z
      DOI: 10.1177/0958305X231217653
       
  • A hybrid technique for optimal sizing and performance analysis of hybrid
           renewable energy sources

    • Free pre-print version: Loading...

      Authors: Syed Mujtaba Mahdi Mudassir, U Salma
      Abstract: Energy & Environment, Ahead of Print.
      This article proposes an optimum size and performance analysis of hybrid renewable energy sources using the atomic orbital search–recalling-enhanced recurrent neural network technique. The system consists of energy sources, like wind turbines and solar panels, energy storage systems, or battery-bank and biodiesel generator methods. The proposed optimization method is the integration of atomic orbital search and recalling-enhanced recurrent neural network and hence it is known as atomic orbital search–recalling-enhanced recurrent neural network technique. The major goal of the proposed method is to reduce the life-cycle cost of the hybrid renewable energy sources while taking into account certain limits by altering decision variables, such as the swept area of wind turbines, solar area, fuel consumption of the biodiesel generator, and battery quality. Solar radiation, wind speed, load demand, and temperature variations are the inputs for the design of hybrid renewable energy sources. In the proposed method, the recalling-enhanced recurrent neural network uses the historical dataset to estimate the load demand in the best possible way. The atomic orbital search method offers an ideal hybrid renewable energy sources setup based on the anticipated load requirement. The proposed method also optimizes a number of other factors, including system overall cost, power generation from different sources, the contribution of different sources, supply continuity for the load demand, and unmet load. The proposed method optimizes the characteristics of hybrid renewable energy sources, and it offers a reliable solution. The proposed method is done in MATLAB and its performance is examined by using the comparative analysis with existing methods.
      Citation: Energy & Environment
      PubDate: 2023-12-04T01:33:26Z
      DOI: 10.1177/0958305X231215312
       
  • Export diversification and disaggregate energy consumption in BRICS
           economies: Does environmental degradation matter'

    • Free pre-print version: Loading...

      Authors: Faheem Ur Rehman, Abul Ala Noman, Monirul Islam, Yuan Wu, Ahmad Sayed Mohammed Metwally
      Abstract: Energy & Environment, Ahead of Print.
      The role of exports as a catalyst for income growth necessitates the utilization of energy resources in manufacturing industries. Consequently, major exporting nations are embracing a dual approach, employing both renewable and non-renewable energy sources, to enhance export promotion while addressing environmental concerns. In this study, we examine the intricate relationship between export diversification and disaggregated energy consumption, specifically focusing on renewable and non-renewable energy, within the framework of the BRICS countries from 1990 to 2020. Notably, our investigation contributes significantly to the understanding of the moderating influence of environmental degradation, employing the Markov Chain Monte Carlo (MCMC) panel quantile regression method. Our findings reveal that initially, export diversification exerts a negative impact on renewable energy consumption. However, as countries attain a comparative advantage in diversification, this relationship transitions into a positive correlation. Additionally, we observe a significant positive association between export diversification and non-renewable energy consumption, which subsequently turns negative once the level of comparative advantage is reached. Moreover, we uncover that CO2 emissions, serving as a proxy for environmental degradation, partially moderate the link between export diversification and renewable energy consumption, while fully moderating the relationship with non-renewable energy consumption. Furthermore, we identify heterogeneous effects of outward foreign direct investment (FDI), innovation, human capital, and institutional quality on the disaggregated levels of energy consumption across the BRICS economies. In light of these findings, we propose the adoption of a prudent approach towards energy resource utilization, taking into account environmental safety considerations within the BRICS countries.
      Citation: Energy & Environment
      PubDate: 2023-11-30T07:53:35Z
      DOI: 10.1177/0958305X231210992
       
  • How different levels of education affect individuals’ attitudes and
           actions toward carbon neutrality' A novel quantile-on-quantile regression
           approach

    • Free pre-print version: Loading...

      Authors: Isaac Ahakwa, Yi Xu, Evelyn Agba Tackie, Faustina Korkor Tackie, Tinashe Mangudhla, Francis Atta Sarpong
      Abstract: Energy & Environment, Ahead of Print.
      Carbon neutrality in the post-COP26 summit becomes a key goal in the fight against climate change, and the sustainable development goals (SDGs), particularly SDG4, acknowledge the crucial role of education in enhancing both the environment and individual well-being and as a pathway towards attaining other SDGs. Therefore, this paper examines how individuals’ educational levels affect their behavior for realizing carbon neutrality within the environmental Kuznets curve (EKC) framework while employing green energy, green finance, and natural resources as additional variables in the study model. This study utilizes robust econometric techniques to ensure accurate and reliable results, employing data from Ghana from 1990 to 2020. The results confirm that the study variables exhibit stationarity and long-term co-integration. Thus, the novel quantile-on-quantile regression (QQR) technique is utilized to analyze the variables’ relationships evolving throughout various quantile levels so as to offer a more nuanced understanding. The results reveal that secondary and tertiary education are beneficial for achieving carbon neutrality, but primary education alone is insufficient. Moreover, the findings demonstrate that green energy and green finance support the realization of carbon neutrality, while natural resources hinder carbon neutrality realization. Furthermore, the study validates the EKC hypothesis in Ghana. Ultimately, it recommends that authorities invest and prioritize the expansion and quality improvement of secondary and tertiary education in Ghana to accelerate the nation's journey towards carbon neutrality, with due recognition of the need to supplement primary education with a robust higher education system focused on sustainability and environmental studies.
      Citation: Energy & Environment
      PubDate: 2023-11-29T06:02:12Z
      DOI: 10.1177/0958305X231217648
       
  • Pathways for China's sustainable energy transition: Examining the effects
           of exchange rate volatility on renewable energy investment

    • Free pre-print version: Loading...

      Authors: Biqing Li, ShiYong Zheng, Muhammad Tariq Majeed
      Abstract: Energy & Environment, Ahead of Print.
      The relationship between exchange rate volatility (ERV) and other macroeconomic factors, including trade flows, domestic production, inflation, money demand, and economic growth, has remained a topic of a large number of studies in international finance. However, the research question that the past empirics have overlooked is whether ERV has any role in helping an emerging economy like China in its journey toward a renewable energy transition. To answer this question, this analysis intends to scrutinize the nexus between ERV and renewable energy investment (REI) in China over 1991Q1-2021Q4. Moreover, due to the asymmetric behavior of ERV, we have based our analysis on the asymmetric assumption. For analyzing the short and long-run impacts of ERV on REI in China, we used the linear autoregressive distributed lag (ARDL) and nonlinear ARDL methods. In the long term, the ARDL model predicts that stricter environmental policies and higher GDP will lead to more investment in renewable energy. As far as the nonlinear model is concerned, the long-term negative change in ERV does not affect REIs, whereas a long-term positive change in ERV reduces such investments. Likewise, unfavorable short-term exchange rate shocks encourage REI while positive short-term shocks discourage such development. Moreover, investment in renewable energy is bolstered by GDP, environmental policy strictness, and financial development, but is dampened by CO2 emissions in the short term in both models. On the basis of these results, we suggest that policymakers should consider implementing measures to stabilize exchange rates to promote investment in renewable energy.
      Citation: Energy & Environment
      PubDate: 2023-11-24T07:40:25Z
      DOI: 10.1177/0958305X231209417
       
  • Thermal convective transport energy and environmental applications for
           magnetised flow with parallel (non-parallel) walls movement simulation of
           staggered cavity

    • Free pre-print version: Loading...

      Authors: Nabeela Kousar, S. Bilal, Nosheen Fatima, Wasim Jamshed, Mohamed R. Eid
      Abstract: Energy & Environment, Ahead of Print.
      The liquid suspension's staggered domains affect everyday life engineering. In this way, both parallel/anti-parallel movement of walls of staggered domains complicates formulation, making it difficult for researchers to detect liquid suspension flow field features. The current article is a key effort in this regard. The staggered cavity is equipped with liquid suspension. In a vertical path, a magnetic field is affected externally. To be more precise, we considered three cases for moving the top and bottom walls. In Case-I, just the top wall moves, while the other walls stay still. Case-II has parallel top and bottom walls. Case-III: anti-parallel wall movement. The left wall is chilly, the top wall is adiabatic, and the right side and bottom walls are heated consistently. The continuity, momentum, energy, and boundary constraints equations determine the physical configuration. Finite element analysis discretizes the governing equations. Every contour graphic show velocity, pressure, and temperature with an external magnetic field. Line graphs help describe velocity components. At a finer refinement level, all instances record kinetic energy versus magnetic field parameter and Reynolds number in tabular and bar graphs. Fluid flow length and velocity always decrease with magnetic field parameter. Kinetic energy is reduced with magnetic field intensity.
      Citation: Energy & Environment
      PubDate: 2023-11-24T06:23:44Z
      DOI: 10.1177/0958305X231215321
       
  • Synergizing green energy, natural resources, global integration, and
           environmental taxation: Pioneering a sustainable development goal
           framework for carbon neutrality targets

    • Free pre-print version: Loading...

      Authors: Najia Saqib, Muhammad Usman, Magdalena Radulescu, Razvan S Șerbu, Mustafa Kamal, Lucian A Belascu
      Abstract: Energy & Environment, Ahead of Print.
      Addressing the intricate associations between green energy consumption, natural resources, economic globalization, and environmental taxes is central focus of Europe's ecological sustainability. This study uses cutting-edge techniques to investigate the impacts of green energy consumption, economic globalization, environmental taxation, as well as the potential moderating effects of natural resource rent in conjunction with environmental taxation in European countries during 1995–2020. The empirical findings of this study show that green energy, environmental tax and globalization are negatively associated with ecological footprint, while natural resource is positively linkedwith ecological footprint. Green energy consumption in conjunction with environmental tax has a significant and negative moderating impact on ecological footprint. Similar findings were observedfor the concurrence between natural resources rent and environmental tax, which means that environmental tax has some ability to improve the natural resources management and consequently contribute to improve environmental quality. The establishment of environmental taxation schemes and the use of green energy enable the pursuit of environmentally conscious economic, and energy policies by better-aligning industries with sustainable practices and promoting a balance between economic growth and environmental stewardship. Environmental tax system should support a larger adoption of green energy into European countries for reaching the target of carbon neutrality until 2050. It also contributes to the worldwide effort to achieve carbon neutrality and a sustainable future by offering useful insights and concrete recommendations for the development and implementation of environmentally responsible economic and energy strategies.
      Citation: Energy & Environment
      PubDate: 2023-11-24T06:22:44Z
      DOI: 10.1177/0958305X231215319
       
  • Risk identification, analysis, and solution to carbon finance development
           in China: An improved DEMATEL-ISM approach under fuzzy environment

    • Free pre-print version: Loading...

      Authors: Yuanxin Liu, Xu Luo, Shuo He, Jiahai Yuan, Yao Tao
      Abstract: Energy & Environment, Ahead of Print.
      Developing carbon finance is significant to a green-oriented transition of energy but suffering risks in China. This article aims to construct a framework for the risk identification, analysis, and solution of carbon finance development. It could help trading parties, third-party intermediaries, and government to understand the main obstacles to carbon finance and then take effective control measures. Firstly, 12 risk factors in policy, economy, environment, technology, and society five aspects are identified. Secondly, the risk analysis data is obtained through a comparison of the mutual influence degree of factors, where hesitant fuzzy linguistic term set is used to collect the initial information and triangular intuitionistic fuzzy number is employed to quantify the qualitative linguistics. Expanding the analysis into fuzzy environment can avoid the loss of decision information caused by traditional single real number evaluation. Thirdly, the improved decision-making trial and evaluation laboratory (DEMATEL) and interpretative structural modeling methods are combined to gain the risk analysis results. K-means is used to refine the influence relationship between factors in traditional DEMATEL to three categories: high effect, low effect, and no effect, which enhances applicability of the model in reality. Finally, corresponding improvement schemes and policy suggestions are proposed for each risk factor. The findings of research show that among the risks hindering carbon finance development: low carbon price, immature carbon abatement technology, lack of carbon financial products, and operational risk are the direct factors; adjustments in international climate policy is the fundamental factor.
      Citation: Energy & Environment
      PubDate: 2023-11-24T06:19:25Z
      DOI: 10.1177/0958305X231205513
       
  • Can China's trade and investment facilitate renewable energy consumption
           in Africa'

    • Free pre-print version: Loading...

      Authors: Mesfin Welderufael Berhe, Toyo Amègnonna Marcel Dossou, Junbing Huang, Abel Dula Wedajo
      Abstract: Energy & Environment, Ahead of Print.
      Although several studies have investigated the impact of international trade and foreign direct investment (FDI) on energy consumption in Africa, extensive analyses from a renewable energy perspective are scarce. Moreover, the influence of Chinese FDI and trade on renewable energy consumption is quite inexistent. To fill the gap in the energy economics literature, this study empirically investigates the impact of China's trade and FDI on renewable energy consumption in 40 African countries over the period 2003 to 2016. The panel corrected standard errors estimation method is adopted. Additionally, panel causality tests are used to show the long-run relationship among the variables. The results revealed that both imports and outward direct investment from China had been positively associated with renewable energy consumption. However, exports to China were negatively related to renewable energy consumption. The results further reveal that economic growth and financial market developments are found to be ideal for promoting renewable energy consumption. The panel causality results show that there are significant bidirectional causalities between renewable energy consumption and economic growth. The results suggest that trade and investment policies should be integrated with renewable energy policy in order to achieve sustainable development. Besides, it is also important to adopt sound macroeconomic policies which promote economic growth and financial market development.
      Citation: Energy & Environment
      PubDate: 2023-11-22T07:36:40Z
      DOI: 10.1177/0958305X231215320
       
  • Pyrolysis recovery and product distribution of shrimp shell waste:
           Insights from thermogravimetric-Fourier transform infrared spectroscopy
           and pyrolysis–gas chromatography/mass spectrometry characterization

    • Free pre-print version: Loading...

      Authors: Lingbo Meng, Shin Ying Foong, Peter Nai Yuh Yek, Rock Keey Liew, Abdulnasser M Karami, Meenakshi Verma, Nyuk Ling Ma, Christian Sonne, John Chi-Wei Lan, Su Shiung Lam
      Abstract: Energy & Environment, Ahead of Print.
      Shrimp consumption is increasing owing to its rich nutrition and delicious taste. As a result, the generation of shrimp shell waste is also increasing, while the current disposal method such as landfilling causes pollution and produces harmful leachate to living organisms and the environment. Therefore, a proper management strategy is needed to dispose of shrimp shell waste to mitigate the adverse effects caused to the environment. This study presents an in-depth approach to reveal the properties of shrimp shell waste and explore its potential for use in various applications. The shrimp shell waste was subjected to pyrolysis–gas chromatography/mass spectrometry and thermogravimetric-Fourier transform infrared spectroscopy pyrolysis to evaluate the gas composition from pyrolysis. Thermogravimetric-Fourier transform infrared spectroscopy analysis reveals that when the optimal temperature for pyrolysis is 400 °C–600 °C, the predominant functional group of gases produced are –CH, –OH, and –NH. On the other hand, the results of pyrolysis–gas chromatography/mass spectrometry indicate that hydrocarbon (51.86%) is the main product of shrimp shell waste pyrolysis at 900 °C, which can be used in paints, paint thinners, rubber, printing inks, adhesives (glue). Although it has a calorific value of 15.113 MJ/kg, it cannot be directly burned because of its high nitrogen concentration (10.85 wt.%) which may generate harmful pollutants such as nitrogen oxides. Overall, pyrolysis is recommended as a viable method for converting shrimp shell waste into versatile products.
      Citation: Energy & Environment
      PubDate: 2023-11-20T07:53:01Z
      DOI: 10.1177/0958305X231215317
       
  • Spatiotemporal heterogeneity of the impact of renewable energy and energy
           efficiency on carbon dioxide emissions in Regional Comprehensive Economic
           Partnership member countries

    • Free pre-print version: Loading...

      Authors: Minjie Li, Yihui Chen
      Abstract: Energy & Environment, Ahead of Print.
      As a major greenhouse gas, carbon dioxide emissions (CO2E) are the main cause of global warming and environmental pollution. Thus, the reduction in carbon emissions has become a global concern. The widespread use of renewable energy and the improvement of energy efficiency seem to provide a feasible path for countries to achieve carbon emissions reduction, and have received the attention of governments and academics. However, very little literature has focused on the spatial and temporal heterogeneity of the effects of renewable energy use and energy efficiency on carbon emission intensity. This study applies the geographically and temporally weighted regression (GTWR) model and complies with a balanced panel of data from member countries of the Regional Comprehensive Economic Partnership (RCEP) between 2000 and 2019 to investigate the spatiotemporal heterogeneity of the effects of renewable energy and energy efficiency on CO2E. The results show that CO2E per capita (CO2EP) increases over time, but its distribution across RCEP member countries remains largely stable. Overall, the usage of renewable energy tends to decrease CO2EP, while energy efficiency tends to increase it. However, with the passage of time and changes in geographical location, renewable energy consumption and energy efficiency show significant temporal and spatial heterogeneity in their effects on CO2EP of RCEP member countries. Additionally, the effects of industrial structure, merchandise trade, urbanization rate, and energy poverty on CO2EP of RCEP member countries are also characterized by spatial and temporal heterogeneity.
      Citation: Energy & Environment
      PubDate: 2023-11-20T07:52:02Z
      DOI: 10.1177/0958305X231215315
       
  • Fenton-like degradation of methyl orange by alumina-supported Cu–Co
           catalysts at neutral pH: Optimization by the Taguchi method

    • Free pre-print version: Loading...

      Authors: Yayun Juang, Jih-Mirn Jehng
      Abstract: Energy & Environment, Ahead of Print.
      Fenton oxidation is considered to be an effective method for removing non-biodegradable organic materials from industrial wastewater. However, several challenges need to be overcome for its utilization in industrial-scale applications. A series of alumina-supported Cu–Co samples were prepared via a simple sol–gel method, and their utility for Fenton-like degradation of methyl orange (MO) at neutral pH was assessed. In addition, various catalyst synthesis parameters, namely (Cu + Co)/Al molar ratio, Cu/Co molar ratio, water content, and treatment conditions, were optimized by the Taguchi method. The parameters were selected in three levels, and L9 from the orthogonal array design was used. The optimum synthesis parameters for the catalyst included a (Co + Cu)/Al molar ratio of 0.08, a Co/Cu molar ratio of 1/3, an H2O/Al molar ratio of 6, a calcination temperature of 400°C, and a calcination time of 8 h. Furthermore, Brunauer–Emmett–Teller surface area analysis, scanning electron microscopy, X-ray diffraction, X-ray photoelectron spectroscopy, and temperature-programmed reduction were employed to characterize the physical and chemical properties of the samples. The results revealed that the optimized catalyst achieved a 94% removal efficiency of MO and a 75% removal efficiency of total organic carbon. Compared to the data reported in similar previous studies, the catalyst prepared herein demonstrated promising development potential.
      Citation: Energy & Environment
      PubDate: 2023-11-20T05:52:02Z
      DOI: 10.1177/0958305X231215313
       
  • A novel power conversion structure for grid-connected photovoltaic
           applications based on MLI and LeBlanc transformer using IRSA technique

    • Free pre-print version: Loading...

      Authors: C Sonia, S Tamilselvi
      Abstract: Energy & Environment, Ahead of Print.
      This article proposes a new energy conversion structure by employing a hybrid approach for grid-tied photovoltaic (PV) applications. This structure depends on the LeBlanc transformer and multilevel inverter (MLI). The proposed hybrid system combines the honey badger algorithm (HBA) and the reptile search algorithm (RSA). Crocodiles hunting behavior is enhanced by the HBA technique, also known as the IRSA technique. Voltage source inverters (VSI) are used in the proposed multilevel power converter. The MLI output is attached to the LeBlanc transformer. Multi-string technology is essential to the PV system's configuration. This innovative power converter's structural layout allows for an output voltage at the MLI's output. The proposed IRSA approach is utilized to regulate this power converter. This control system permits a fast and robust response from the MLI. This is also ensured by using the IRSA technique. The performance of the proposed hybrid method is run in MATLAB, and the performance is compared with various existing methods. From the simulation, the proposed approach-based efficiency is higher than the existing one. The proposed method shows a high efficiency of 99% compared with other existing methods, such as the salp swarm algorithm (SSA), bee colony optimization (BCO), and grasshopper optimization algorithm (GOA).
      Citation: Energy & Environment
      PubDate: 2023-11-09T07:48:22Z
      DOI: 10.1177/0958305X231210994
       
  • Can green finance effectively mitigate PM2.5 pollution' What role will
           green technological innovation play'

    • Free pre-print version: Loading...

      Authors: Yiniu Cui, Cheng Zhong, Jianhong Cao, Mengyao Guo
      Abstract: Energy & Environment, Ahead of Print.
      This study employs panel data encompassing a time frame from 2012 to 2020, collected from 30 provinces in China. By employing a geographic Durbin model and introducing green technological innovation as an intermediary variable, the study explores the relationship between green funds and PM2.5 levels on a spatial scale. The research takes a spatial perspective to explore the links between green finance and PM2.5 emissions, with a specific focus on the intermediary role played by green technology innovation. The findings offer comprehensive insights into enhancing air quality in China, promoting the country's transition towards sustainability, improving the overall human living environment, and generating novel ideas for tackling air pollution challenges. The findings of this study are as follows: (1) The progress of green finance proves to be an effective means of reducing local PM2.5 emissions. Additionally, it generates spillover effects on neighboring regions, promoting the growth of green finance and consequently leading to a decrease in PM2.5 emissions in adjacent areas. (2) In the study exploring the relationship between green financing and PM2.5, green technological innovation plays a crucial mediating role. By efficiently allocating financial resources during China's pivotal green revolution phase, green finance offers funding support to enterprises for the advancement of green technology. This, in turn, contributes to the reduction of PM2.5 emissions. As a consequence, this leads to a decline in energy consumption, pollution emissions, and PM2.5 levels. Additionally, with the continuous improvement in green technological innovation, the reverse effect between green finance and PM2.5 is becoming stronger and stronger. (3) The relationship between the two has obvious regional heterogeneity between the north and south regions of China.
      Citation: Energy & Environment
      PubDate: 2023-10-31T07:05:28Z
      DOI: 10.1177/0958305X231204030
       
  • The asymmetric and long-run effect of demand-based CO2 emissions
           productivity on production-based CO2 emissions in the UK

    • Free pre-print version: Loading...

      Authors: Dervis Kirikkaleli, Kwaku Addai
      Abstract: Energy & Environment, Ahead of Print.
      Trade effects on atmospheric air contamination of countries have received increasing global policy focus over the past few decades. The United Kingdom is committed to changing the complexities in international trade, current pathways to economic output pursuit, and carbon dioxide emission toward realizing the goals of the Paris Agreement and Kyoto Protocol. This research is motivated to explore the asymmetric long-run impact of demand-based CO2 emissions productivity on production-based CO2 emissions for the UK economy. Data for this assessment was drawn from 1990 to 2019 and analyzed using Gregory-Hansen cointegration, nonlinear autoregressive distributed lag (NARDL), and frequency domain causality techniques. Gregory-Hansen estimates for cointegration provide integration evidence for all variables. Estimates for NARDL long-run cointegration indicate (i) demand-based CO2 emissions productivity is a credible variable that contributes to reducing production-based CO2 emissions in the UK; (ii) both economic output and globalization contribute in rising production-based CO2 emissions in the UK; and (iii) the frequency domain causality test indicates one direction causality from demand-based CO2 emissions productivity, output, globalization, and consumption of green energy to production-based CO2 emissions in the UK.
      Citation: Energy & Environment
      PubDate: 2023-10-31T06:20:06Z
      DOI: 10.1177/0958305X231204958
       
  • Do technological innovations and clean energies ensure CO2 reduction in
           China' A novel nonparametric causality-in-quantiles

    • Free pre-print version: Loading...

      Authors: Ugur Korkut Pata, Rundong Luo, Mustafa Tevfik Kartal, Tomiwa Sunday Adebayo, Sami Ullah
      Abstract: Energy & Environment, Ahead of Print.
      Sustainable manufacturing and green growth are prominent concerns for both advanced and emerging countries to reach the sustainable development goals. Most emerging economies rely heavily on fossil fuels to meet their energy needs, which increases greenhouse gas emissions and degrades environmental quality. This study accessed the role of renewable energy, trade globalization, and technological innovations in predicting environmental quality in China using quarterly data from 2001 to 2019. The study employed a novel nonparametric causality-in-quantiles approach, because causality may not exist in the mean, but a higher-order relationship may be observed in the variance. The outcomes revealed that renewable energy, globalization and technology, all have significant and asymmetric power to predict carbon emissions and ecological footprint in China. The main finding of the study is that technology seems to be the most significant predictor of carbon emissions, while the ecological footprint is highly driven by renewable energy. Based on these results, the Chinese government should reduce ecological degradation by increasing investments in technological progress and renewable energy to achieve sustainable development.
      Citation: Energy & Environment
      PubDate: 2023-10-30T06:22:34Z
      DOI: 10.1177/0958305X231210993
       
  • Spatial spillover effect of environmental regulation on environmental
           efficiency of electric power industry in China

    • Free pre-print version: Loading...

      Authors: Jiasen Sun, Tong Liu, Junfei Chu
      Abstract: Energy & Environment, Ahead of Print.
      The electricity power (EP) industry, a primary source of emissions, significantly affects China's energy conservation and reduction efforts. The Chinese government has introduced various regulatory policies to limit the emissions and waste generated by the EP industry. This paper intends to assess the influence of environmental regulation (ER) on the environmental efficiency (EE) within China's EP sector, particularly concerning spatial spillover effects. The slack-based and the spatial Durbin models are applied to quantify EE and analyze the nonlinear connection between ER and EE. Some findings are summarized below. First, the EE of China's EP industry has significant regional heterogeneity and exhibits a positive spatial agglomeration effect of EE. Second, the influence of ER on EE in local provinces shows a U-shaped relationship, while it exhibits an inverted U-shaped effect in neighboring provinces. Third, ER can indirectly drive EE in the local province by affecting technological innovation. Finally, policy recommendations are offered to enhance the EE in China's EP industry.
      Citation: Energy & Environment
      PubDate: 2023-10-30T06:21:55Z
      DOI: 10.1177/0958305X231209418
       
  • How does CEO green experience affect green innovation of energy firms'
           Evidence from China

    • Free pre-print version: Loading...

      Authors: Jingxue Zhang, Kun Zhang
      Abstract: Energy & Environment, Ahead of Print.
      CEO characteristics influence their strategic preferences, which are crucial for promoting corporate green innovation (GI). However, the influence and its mechanisms of CEO green experience (GreCEO) on GI of energy firms, especially when comparing different firm types holistically, remain understudied. This study used a moderated mediation model with fixed effects to examine the relationship between GreCEO and GI of energy firms, based on the unbalanced panel data of 821 listed Chinese energy firms during 2004–2021. We find that: (1) GreCEO positively affects energy firms’ GI. (2) Heterogeneity exists in the GI effect of GreCEO regarding business ownership and industry characteristics, and this effect is more prominent in non-state-owned energy firms and high-tech energy firms. (3) Green management (GM) and debt-to-asset ratio (DAR) partially mediate GreCEO's impact on GI of energy firms. (4) Renewable energy policy (REP) moderates the relationship between GreCEO and GI of energy firms, and its influencing mechanisms. In contrast to studies that focus on the direct effect of CEO characteristics on GI, this study identifies the potential influencing mechanisms through which GreCEO affects GI of energy firms. In addition, the moderation analysis reveals the boundary condition that GreCEO affects GI, enriching our understanding of GreCEO's effect on GI from the perspective of a firm's internal conditions and external policy environment. Regarding green development, CEOs’ early experience should be included in the management system and evaluation criteria of energy firms. The Chinese government should continue to implement the REP and accelerate energy firms’ green transition.
      Citation: Energy & Environment
      PubDate: 2023-10-30T06:20:55Z
      DOI: 10.1177/0958305X231207057
       
  • Environmental technology import and carbon emissions intensity
           convergence: Analysis for the Belt and Road Initiative countries

    • Free pre-print version: Loading...

      Authors: Muhammad Salam, Xu Yingzhi
      Abstract: Energy & Environment, Ahead of Print.
      Since the official launch of the Belt and Road Initiative (BRI) in 2013, China and the BRI countries have been working for the implementation of certain environmental measures to make the BRI project green and clean. For this purpose, China and the BRI countries have planned to implement certain environmental measures. Although China can efficiently implement these measures, most of the BRI countries face technological deficiencies and lack of proper environmental plannings. To tackle these deficiencies, the BRI countries can import environmental technology from China. Moreover, they can communicate their environmental protection policies with China for better policy guidance. The current study, therefore, aims to examine whether the BRI countries’ import of environmental technology from China can reduce carbon emissions in these countries. Moreover, it also examines that whether these countries should follow the environmental policy and the import policy of China or they should follow the six European countries (EU-6) with minimum carbon emissions intensity. This study considers a sample of 88 selected BRI countries (BRI-88) for the period 2001–2019. The results obtained with β convergence (based on the panel quantile regression model) suggest that not all the BRI countries but only the BRI countries with relatively higher carbon emissions intensity can significantly reduce their average carbon emissions intensity by importing environmental technology from China. Moreover, BRI countries can follow the environmental policy of China which is more feasible for them. However, regarding the environmental goods import policy, BRI countries can follow both China and the EU-6.
      Citation: Energy & Environment
      PubDate: 2023-10-30T06:20:15Z
      DOI: 10.1177/0958305X231204033
       
  • Exploring the impacts of tourism development and exchange rate on
           renewable energy demand in China: A nonlinear perspective

    • Free pre-print version: Loading...

      Authors: Chenjie, Xu Yunbao, Peng Zhubin, Sidra Sohail
      Abstract: Energy & Environment, Ahead of Print.
      The demand for carbon-free or renewable energy sources is on the rise due to their role in boosting environmental performance and controlling emissions. The majority of previous research is based on the symmetry assumption while analyzing the association between tourism demand (TD), exchange rate volatility (ERV), and renewable energy consumption (REC). To plug this hole, this research scrutinizes the impact of TD and ERV on REC in China. To investigate the short and long-run implications of TD and ERV on REC, this analysis employs the autoregressive distributed lag (ARDL) and nonlinear autoregressive distributed lag (NARDL) techniques. The study's innovative approach enhances its scientific value through a novel and insightful examination of the variables of interest. The linear model results indicate that TD has a positive and significant long-run impact on REC. Conversely, ERV has a negative and significant long-run impact on REC. The NARDL model finds that a positive TD shock significantly and positively affects REC in the long run, while a negative TD shock does not exert a noticeable impact on REC. A positive ERV shock significantly and negatively affects REC in the long term, whereas a negative ERV shock has an insignificant impact on REC. Conversely, only a positive ERV shock has a significant positive impact on REC in the short run. These findings imply that policymakers must adopt stable and reliable foreign exchange market policies and promote sustainable tourism practices at tourist hotspots.
      Citation: Energy & Environment
      PubDate: 2023-10-30T06:19:16Z
      DOI: 10.1177/0958305X231195362
       
  • Energy, exergy, environment and techno-economic analysis of parabolic
           trough collector: A comprehensive review

    • Free pre-print version: Loading...

      Authors: Oveepsa Chakraborty, Sujit Roy, Biplab K. Debnath, Sushant Negi, Marc A. Rosen, Sadegh Safari, Mamdouh El Haj Assad, Rajat Gupta, Biplab Das
      Abstract: Energy & Environment, Ahead of Print.
      Inexhaustible energy sources are the focus of the energy industry for meeting the increased need for energy and reducing carbon emissions. Among various alternatives, harnessing solar energy has become a promising choice around the world. Parabolic trough collectors (PTCs) are an effective way to transform radiant energy into thermal energy, as well as electricity. However, these collectors can be improved by refining their design and tweaking the parameters related to thermal behavior. This may be done either by enhancing the surface area or improving the heat transfer coefficient of the heat carrying medium. These kinds of improvements could be achieved by making the use of nanofluids and by using inserts or fins within the collector tube. The current study provides an extensive review of PTCs from the points of view of their design, along with their thermal characteristics. Different types of nanofluids as the working liquid are investigated and discussed to achieve better PTC performance. Inserts within the collector tube and various design approaches, including fins, twisted tubes, U-shaped tubes, coiled wire inserts, and porous twisted tape inserts, are reviewed and discussed in detail. Finally, based on this review, challenges of PTC applications are described and future research recommendations are proposed.
      Citation: Energy & Environment
      PubDate: 2023-10-17T04:10:02Z
      DOI: 10.1177/0958305X231206507
       
  • The impact of political competition on low-carbon technology innovation:
           From the perspective of officials’ personal characteristics

    • Free pre-print version: Loading...

      Authors: Yaling Deng, Jingjing Wang, De Xia, Lulu Xu
      Abstract: Energy & Environment, Ahead of Print.
      Political competition is reflected in the strategic interaction of regional government's behavioral motivation driven by “official tournament.” Especially since environmental protection was officially included in the official performance appraisal system in 2005, the interactive trend of local governments’ economic development and environmental protection is more obvious. The policy uncertainty caused by this interaction is a major challenge for the government to promote regional sustainable development. Different from previous studies that only focus on the impact of political competition on environmental governance, this paper studies the impact of political competition on the low-carbon technology innovation from the perspective of sustainable development. Combined with the characteristics of Provincial Party Secretaries and Provincial Governors, the influence mechanism of political competition on low-carbon technology innovation is analyzed based on the method of spatial dubin model. Firstly, it finds that political competition has a significant negative impact on low-carbon technology innovation in the region and its adjacent regions, which is mainly caused by the political competition of Provincial Governors, while the political competition of Provincial Party Secretaries has no significant impact on low-carbon technology innovation. Secondly, the results of the mediation effect test show that reducing the intensity of environmental regulation in exchange for economic growth and political promotion opportunities is one of the reasons why the political competition of Provincial Governors inhibits low-carbon technology innovation. Thirdly, the results of the heterogeneity test of official characteristics show that the age of Provincial Governors is less and the tenure is longer, the stronger the inhibiting effect of Provincial Governors’ political competition on low-carbon technology innovation is. These conclusions provide policy suggestions for enterprises to make environmental investment decisions under different political environments.
      Citation: Energy & Environment
      PubDate: 2023-10-17T04:09:42Z
      DOI: 10.1177/0958305X231205516
       
  • Do institutional quality and military expenditure of G20 countries affect
           green investments'

    • Free pre-print version: Loading...

      Authors: Furkan Demirtaş, Emine Kaya, Festus Victor Bekun, Mücahit Çitil, Mustafa Torusdağ, Abdulkadir Barut
      Abstract: Energy & Environment, Ahead of Print.
      With the increase in awareness of environmental issues, companies and governments try to review their environmental policies. One of the most important policies for protecting the environment is the use of energy sources, which cause less or no harm to the environment. In this study, we examine the effect of institutional quality and the components of this institutional quality on green investments for G-20 countries. For this purpose, we employ static panel data analysis, as a main analysis, and dynamic panel data analysis as a robustness check. According to the main findings, institutional quality positively affects green investments and military spending reduces green investments. Also, robustness checks indicate that the effect of institutional quality and military expenditure of G20 countries on green investments is robust.
      Citation: Energy & Environment
      PubDate: 2023-10-17T04:09:24Z
      DOI: 10.1177/0958305X231205018
       
  • A model and simulation study of developers’ multicontract incentives for
           contractors’ green technology innovation decisions considering marketing
           efforts and innovation capability

    • Free pre-print version: Loading...

      Authors: Yingmiao Qian, Xian-an Yu, Xueli Chen, Malin Song
      Abstract: Energy & Environment, Ahead of Print.
      To promote low-carbon development of the construction industry and popularize green buildings (GBs), considering the influence of marketing efforts and innovation capability on GB market demand, this paper constructs multiple incentive decision models based on contract theory, analyzes developers’ decision-making behaviors for incentivizing contractors’ green technology innovation (GTI) under different incentive decision models; and explores the impacts of greenness preference and service quality preference on contract prices, sales prices, innovation levels and marketing effort levels. In addition, the impacts of marketing effort cost coefficient and innovation capability on innovation levels, marketing effort levels and developers’ profits are simulated through parameter assignment and computer software. The results show that greenness preference and service quality preference have positive impacts on developers’ and contractors’ decisions and profits; under the decision model based on innovation level, the developers maximize profits, but the developers’ marketing effort levels and contractors’ innovation levels are lower at this time; under the decision model based on cost-sharing, the contractors have the highest innovation levels and achieve optimal profits, while the innovation capability can promote innovative activities. The results of the study have guiding significance for enhancing the levels of GTI and promoting the development of GBs.
      Citation: Energy & Environment
      PubDate: 2023-10-12T06:38:34Z
      DOI: 10.1177/0958305X231205022
       
  • Can digital financial inclusion facilitate renewable energy consumption'
           Evidence from nonlinear analysis

    • Free pre-print version: Loading...

      Authors: Satar Bakhsh, Wei Zhang, Kishwar Ali, Muhammad Anas
      Abstract: Energy & Environment, Ahead of Print.
      The Paris climate agreement aims to achieve carbon neutrality by reducing carbon emissions all over the world. This can be accomplished by encouraging all stakeholders to switch to more carbon-free production methods, such as renewables, which cannot be achieved without high-level subsidies and financial aid. Therefore, the financial sector is inextricably linked to the renewable energy transition. The entire world is watching India, the world's second-largest importer of fossil fuels and the world's fourth-largest emitter of greenhouse gases. In this context, this work employs a financial development index in three dimensions: the overall financial development, the market-based financial development, and the bank-based financial development. We used the asymmetric nonlinear autoregressive distributed lags econometric model on data from 1980Q1 to 2020Q4 to investigate the effect of financial development on renewable energy consumption (REC) in India. As control variables, the model included real gross domestic product (GDP), trade openness, and oil prices. The empirical evidence shows that negative changes in overall and market-based financial developments (shocks) have a significant impact on REC. Changes in the development of bank-based finance have no immediate impact on REC. In the instantaneous and one-lagged periods, the later effect is both positive and negative. The asymmetric long-run effect of negative and positive changes (shocks) in all three dimensions of financial development has a significant impact on REC. As control variables, the model included real GDP, trade openness, and oil prices. Our empirical findings have significant policy implications.
      Citation: Energy & Environment
      PubDate: 2023-10-11T07:27:29Z
      DOI: 10.1177/0958305X231204029
       
  • Environmental regulation and de-zombified governance of heavy polluting
           enterprises: Quasi-natural experiment of the China's New Environmental
           Protection Law

    • Free pre-print version: Loading...

      Authors: Xiuying Chen, Haiming Lan, Sheng Liu, Jianbin Li
      Abstract: Energy & Environment, Ahead of Print.
      Removing backward production capacity and clearing out zombie enterprises is crucial to realize the carbon peaking and carbon neutrality goals. However, as a command-control environmental regulation policy, whether the New Environmental Protection Law (NEPL) can guide heavy-polluting enterprises to achieve green transformation and get rid of the zombified risk remains unknown. Our article applies the difference-in-difference (DID) method to explore the impact of the stricter environmental regulation policies on the de-zombification of heavily polluting enterprises in the context of the implementation of NEPL in China. The results show that the implementation of NEPL significantly reduces the zombified risk of heavy-polluting enterprises. The results were valid by a series of robustness tests of propensity score matching, common trends test, placebos test, conducting double clustered standard errors to industry and province level, eliminating other policy interference, ruling out reverse causation, easing the potential endogeneity problems, and controlling enterprise's internal management level. Furthermore, there is a time lag in NEPL policy, which requires a long-term mechanism. Moreover, the NEPL can promote enterprise de-zombie governance through the mechanism of market competition and market allocation. The effects of the NEPL are heterogeneous due to the nature of enterprise property rights, enterprise scale, industry radiation capacity, regional development level, and internal management capacity. This article provides policy implications for developing countries to promote de-zombified governance of their economic systems and defuse risks of green transition.
      Citation: Energy & Environment
      PubDate: 2023-10-11T06:34:10Z
      DOI: 10.1177/0958305X231205514
       
  • Optimal economic-emission load dispatch in microgrid incorporating
           renewable energy sources by golden jackal optimization (GJO) and Mexican
           Axolotl optimization (MAO)

    • Free pre-print version: Loading...

      Authors: Ramesh Ramachandran, Shanmugapriya Kannan, Senthil Kumaran Ganesan, Balamurugan Annamalai
      Abstract: Energy & Environment, Ahead of Print.
      This article proposes the use of hybrid technique to achieve balanced and compromised solution among the generation cost and the emission of pollutants. Microgrids (MGs) are the restricted power energy system that transmitted, generated, and distributed. The renewable energy sources (RESs) are used in their fullest extent. Advantages of MG include reducing cost and transmission losses. Operated in different modes like wind turbine (WT), microturbine (MT) and fuel cell (FC). The proposed technique used to execute the golden jackal optimization (GJO) and Mexican Axolotl optimization (MAO) named as GJO–MAO technique. The objective of the technique is to solve dissimilar optimization issues in MG reduces the computational cost and maximize performance. The objectives of economic dispatch are based on fractional scheduling and restricted environment. Three different scenarios, low-voltage MG system are investigated. GJO–MAO techniques used to optimize various issues on MG by using renewable energy. The proposed technique performance is done in the MATLAB. When the time-of-use (TOU) energy market price strategy with the fixed pricing approach, the economic dispatch is calculated by time-of-use electricity market pricing method, generating cost decreases by 18.5%, 13.5% if the FP-related combined economic emission dispatch (CEED) is examined, and 15% after evaluating the environmental-constrained-economic-dispatch (ECED). The MG producing cost targets for ECED and ECD are according to renewable energy sources. The best and most system is used for finding a fair compromise between the cost of generating and emission. The smallest values of implementation time and standard deviation of superiority and robustness are achieved.
      Citation: Energy & Environment
      PubDate: 2023-10-11T06:32:50Z
      DOI: 10.1177/0958305X231204605
       
  • A roadmap for sustaining marine minerals as the green economy transitions
           to the blue economy

    • Free pre-print version: Loading...

      Authors: Le Thanh Ha
      Abstract: Energy & Environment, Ahead of Print.
      This study looks at the impact of green economy activities on marine mineral conservation, emphasizing the critical significance of circular processes in building a sustainable blue economy. The research assesses the long-term viability of European blue economies using six indicators, including the value provided by the extraction of petroleum and natural gas and support activities for mining and quarrying projects. Municipal trash generation per capita and the amount of biowaste in recycling are used to determine circular effectiveness. According to the findings, a robust green economy performance is critical for increasing the sustainability of Europe's blue economy between 2012 and 2019. The link between the green and blue economies is nonlinear, with positive benefits shown when the green economy exceeds a particular threshold. Furthermore, the study validates these findings by investigating the impact of the green economy on ocean energy and marine minerals. These empirical findings have important significances for European authorities and policymakers aiming to effectively implement green programs in order to advance toward a sustainable blue economy and preserve marine mineral levels.
      Citation: Energy & Environment
      PubDate: 2023-10-11T06:31:52Z
      DOI: 10.1177/0958305X231204031
       
  • Mechano-chemical conversion of rice husk ash and gasifier-derived rice
           husk ash into porous silicon

    • Free pre-print version: Loading...

      Authors: Seong Hye Son, Hae In Lee, Won Chul Cho, Ui Myung Chung, Ho Won Ra, Sung Min Yoon, Jae Goo Lee, Young Woo Rhee, Myung Won Seo
      Abstract: Energy & Environment, Ahead of Print.
      Rice husk is an abundant agricultural biomass and a potential source of amorphous silica and porous silicon. To produce high-purity SiO2 and Si from rice husks, multiple steps of acid leaching to remove impurities and heat treatment to reduce residual carbon are necessary. In this study, a simple mechanochemical (magnesio-milling) experiment was conducted using an attrition mill to convert rice husk ash (RHA) and gasifier-derived rice husk ash (GRHA) into porous Si under various acid leaching (hydrochloric acid and lactic acid) and heat-treatment conditions. Three noteworthy results were obtained. First, eco-friendly lactic acid can be used instead of the harmful acid (hydrochloric acid). Next, the heat-treated GRHA was converted to Si via magnesio-milling without acid leaching. Finally, the carbon content (
      Citation: Energy & Environment
      PubDate: 2023-10-09T06:41:42Z
      DOI: 10.1177/0958305X231204991
       
  • Multi-scale analysis of the co-movement between China's new energy vehicle
           industry and Tesla: Evidence from capital market

    • Free pre-print version: Loading...

      Authors: Yuanyuan Ma, Shaodong Duan, Pingping Zhang, Tianjie Zhang
      Abstract: Energy & Environment, Ahead of Print.
      China is currently the world's largest new energy vehicle market, and the development of its new energy vehicles is crucial to the sustainable development of mankind. As a leader in the new energy vehicle industry, Tesla's entry into the Chinese market has an important impact on its new energy vehicle industry, and the study of the relationship between the two is of great significance in promoting the development of China's new energy vehicle industry. Therefore, we analyzed the complex relationship between Tesla and China's new energy vehicle industry from 2013 to 2022 based on the stock market perspective using modal decomposition, Maximum mutual information coefficient, and transfer entropy. Mutual information coefficient results show that Tesla has stronger co-movements with China's New Energy Vehicle Manufacturing sector, and its strength is highest in the medium- and long-term time scales, up to 0.196 and 0.529, respectively. whereas the transfer entropy results show that Tesla has a stronger information transfer effect on the Vehicle Manufacturing sector and Charging Pile sector than on the New Energy Vehicles Battery sector and New Energy Vehicles Parts sector. However, in general, Tesla's information overflow to the whole Chinese new energy vehicle industry is on the rise. The Chinese government can appropriately give Tesla certain favorable policies and encourage Chinese enterprises to cooperate with it, giving full play to Tesla's catfish effect and technology demonstration effect, and then promoting the further development of China's new energy vehicle industry.
      Citation: Energy & Environment
      PubDate: 2023-10-09T06:40:44Z
      DOI: 10.1177/0958305X231204025
       
  • Microbial production of zeaxanthin from algal biomass and waste glycerol
           using a newly isolated agarolytic marine bacterium Cellulophaga
           omnivescoria MSK1

    • Free pre-print version: Loading...

      Authors: Min Sun Kim, Sun-Wook Jeong, Jung Eun Yang, Yong Jun Choi
      Abstract: Energy & Environment, Ahead of Print.
      With increasing interests in the biological conversion of waste resources into value-added chemicals and biocompounds, algal biomass has emerged as a promising renewable feedstock due to abundance, rapid growth, and sustainability. However, efficient bioconversion method is still being challenged due to the lack of suitable host strain capable of directly utilizing algal biomass and converting into desired products. In this study, a potent marine bacterium capable of producing zeaxanthin from algal biomass was investigated. The agarolytic bacterium, Cellulophaga omnivescoria MSK1 was isolated from coastal seawater. Through physiological and morphological analysis, it was confirmed that this bacterium degrade agarose into neoagarotetraose (NA4) and neoagarohexaose (NA6) and produces zeaxanthin using agarose as a carbon source. This bacterial strain demonstrated the ability to produce 2.23 ± 0.19 mg/L of zeaxanthin when provided with 0.2% agarose as a carbon source. By supplementing with glycerol, zeaxanthin production was further enhanced, reaching levels of 8.43 ± 0.31 mg/L, with a content of 6.77 ± 0.3 mg/g CDW (cell dry weight). These results suggest that an agarolytic Cellulophaga omnivescoria MSK1 strain has a great potential to be used as a platform microbial strain capable of producing zeaxanthin from algal biomass as a sustainable feedstock.
      Citation: Energy & Environment
      PubDate: 2023-10-03T11:25:46Z
      DOI: 10.1177/0958305X231204032
       
  • Energy and exergo-economic analysis of a parallel feed multi-effect system
           integrated with humidification–dehumidification system for brine
           recovery

    • Free pre-print version: Loading...

      Authors: Osman Shamet, Bilal A. Qureshi, Mohamed Antar
      Abstract: Energy & Environment, Ahead of Print.
      Desalination technologies reject large amounts of brine with significant value back to sea. The concept of hybridization of different desalination technologies has proven that it can be effective in terms of reducing rejected brine and increasing the freshwater production rate as well as reducing the freshwater cost. In this work, brine recovery to improve water production through a simple modified configuration of integrating a multi-effect desalination (MED) system with humidification–dehumidification system (HDH). The rejected brine of the MED system is used as the feed for the HDH system without the need for preheating the rejected brine since it leaves the MED at a suitable temperature for HDH application. The study focuses on investigating the effect of different operating conditions on the increase in system freshwater production rate and recovery ratio as well as the exergetic efficiency. Parameters investigated include steam temperature, feed salinity, number of brine streams, cooling water flow rate, and ambient temperature. An exergo-economic analysis has also been conducted using the cost flow method to evaluate the freshwater production cost for the modified system. Results indicate that the integration of HDH can increase the water production rate by a maximum of 7.82% and produce fresh water at 2.08 $/m3 compared to 2.094 $/m3 when using the standalone system under the same conditions.
      Citation: Energy & Environment
      PubDate: 2023-10-03T11:25:08Z
      DOI: 10.1177/0958305X231204034
       
  • Syngas production from aqueous phase reforming of glycerol–water mixture
           for compression ignition engine

    • Free pre-print version: Loading...

      Authors: Vetrivel Kumar Kandasamy, Arunkumar Munimathan, Silambarasan Rajendran, Ratchagaraja Dhairiyasamy
      Abstract: Energy & Environment, Ahead of Print.
      Syngas produced from glycerol using aqueous phase reforming for nickel-based catalysts with different support materials were tested in a compression ignition (CI) engine. Experiments were conducted using nickel–alumina, nickel–lanthanum (NL), and nickel–ceria catalysts at 1:1, 1:2, 1:3, and 1:4 glycerol–water ratios and temperatures of 240°C, 260°C, and 280°C. The NL catalyst showed the highest syngas and hydrogen yield of 90.58% and 76.42%, respectively, at 1:3 ratio and 260°C. The optimized NL syngas and diesel were tested in a CI engine at 6 to 30 lpm flow rates. At 30 lpm flow, brake thermal efficiency increased by 3.15%, NOx emission was reduced by 21.22%, and smoke lowered significantly compared to diesel. The faster hydrogen combustion in syngas increased the heat release rate and cylinder peak pressure. CO and HC emissions increased at lower loads due to diluted combustion but reduced at higher loads. NL showed the best performance and emissions among the syngases due to higher hydrogen content. In summary, the NL syngas at 30 lpm showed great potential in CI engines by improving combustion and performance and reducing emissions.
      Citation: Energy & Environment
      PubDate: 2023-10-03T11:24:47Z
      DOI: 10.1177/0958305X231204028
       
  • Biodiesel production by transesterification of low-cost feedstock (waste
           cooking oil) using mesoporous cubic-MgO nanocatalyst: Optimization using
           response surface methodology

    • Free pre-print version: Loading...

      Authors: Amirthavalli Velmurugan, Anita R. Warrier, Baskar Gurunathan
      Abstract: Energy & Environment, Ahead of Print.
      Non-toxic nanoscale metal oxide structures are emerging as potential material in energy and environmental applications because of their enhanced and controllable properties. In this research work, MgO nanoparticles were synthesized by sol–gel method. The calcination temperature and time was optimized at 600°C, 2 hours. The obtained mesoporous MgO nanoparticles (size 15 nm) had a band gap of approximately 3.3 eV. MgO nanoparticles shows a zeta potential value of 17.3 mV, which is considered to be incipiently stable. Biodiesel production was carried out using cubic MgO nanoparticles. Response surface methodology (RSM) and one factor method was employed for the optimization of operating variables. RSM predicts 90% of biodiesel yield at optimal 1% (w/w) of catalyst, 16:1 methanol to oil molar ratio, 65°C of reaction temperature in 42 minutes which is also verified experimentally (89.5%). Biodiesel yield of approximately 92% is obtained using one factor method at higher reaction time of 2 hours, reaction temperature of 60°C with 12:1 methanol to oil molar ratio and 2% (w/w) of catalyst. The hexadecanoic acid, stearic acid, linoleic acid and oleic acid in the waste cooking oil gets transformed into hexadecanoic acid methyl ester, methyl stearate, 9,12-octadecadienoic acid methyl ester and 9-octadecenoic acid methyl ester during transesterification which is inferred from GC–MS spectrum. Transesterification reaction follows pseudo-first-order kinetics. MgO nanocatalyst when reused in the transesterification shows a yield of approximately 90% up to four cycles.
      Citation: Energy & Environment
      PubDate: 2023-09-30T10:17:21Z
      DOI: 10.1177/0958305X231199242
       
  • Understanding the efficiency and evolution of China's Green Economy: A
           province-level analysis

    • Free pre-print version: Loading...

      Authors: Yanyong Hu, Xuchao Zhang, Jiaxi Wu, Zheng Meng
      Abstract: Energy & Environment, Ahead of Print.
      The efficiency level, evolution characteristics, and factors driving the green economy in all provinces and regions should be clarified to achieve high-quality economic development and meet China's “double carbon” target. This study conducted the Super-Effective Slack-Based Model considering unexpected outputs to evaluate province-level Green Economic Efficiency (GEE) analysis (including 30 provinces, autonomous regions, and municipalities directly under the Central Government) in China from 2005 to 2020. Moreover, the distribution and dynamic evolution trend of GEE development was estimated through Kernel density estimation. Besides, GEE and its factors (i.e., industrial structure rationalization [ISR], industrial structure advancement [ISA], and urbanization level [UL]) were examined using a Panel vector autoregressive model that was built in this study. As indicated by the result of this study, China's GEE level generally displayed a “U-shaped” development trend of declining, stabilizing, and then rising, whereas the overall efficiency level is low, where the national GEE average reached 0.6934. The regional GEE level exhibited a significant “ladder” distribution, with the highest level, the second level, and the lowest level in the east, the middle, and the west, respectively. The GEE level varied significantly with the province, and most of the levels were at a medium efficiency level. Notably, 60% of regions had medium efficiency in 2020. The levels of ISR, ISA, and UL play significant roles in boosting green economic growth. This study provides valuable insights into the drivers of green economic growth in China guiding policy decisions on achieving a sustainable and low-carbon economy. As China strives to fulfill its ambitious carbon reduction goals, the findings of this study highlight the significance of continuing to prioritize green economic development at the provincial level.
      Citation: Energy & Environment
      PubDate: 2023-09-28T09:13:46Z
      DOI: 10.1177/0958305X231204027
       
  • Peer effects of environmental regulation on sulfur dioxide emission
           intensity: Empirical evidence from China

    • Free pre-print version: Loading...

      Authors: Qiong Shen, Yuxi Pan, Rui Wu, Yanchao Feng
      Abstract: Energy & Environment, Ahead of Print.
      Under the peer effect theory, this study examines the impact of environmental regulation on sulfur dioxide emissions and investigates the existence of peer effects in environmental governance mechanisms. Using panel data from 285 prefecture-level cities in China from 2008 to 2019, a spatial econometric model reveals that environmental regulation significantly reduces local sulfur dioxide discharge while exhibiting positive spatial spillover effects in surrounding regions, reflecting the “beggar-thy-neighbor” dilemma of environmental governance in China. The study confirms the presence of a positive peer effect of environmental regulation, supporting the combination of ‘top-down’ and ‘bottom-up’ ecological governance approaches. The impact of environmental regulation on sulfur dioxide emissions varies based on regulation intensities and urban characteristics such as geographical position, marketization degree, and official governor's tenure. Learning mechanisms and competition mechanisms partially establish the peer effect of environmental regulation in most Chinese cities. Additionally, exogenous shocks from macro events and strategic policies exert differential influences on the peer effect of environmental regulation, particularly in cities with low regulation intensity. This study provides valuable guidance for balancing environmental protection and sustainable economic growth, fostering intercity collaboration in environmental regulation, and formulating site-specific sustainable development strategies for China and other emerging economies.
      Citation: Energy & Environment
      PubDate: 2023-09-26T07:46:56Z
      DOI: 10.1177/0958305X231201232
       
  • Intergovernmental environmental affairs division and environmental public
           services supply: Evidence from 289 cities in China

    • Free pre-print version: Loading...

      Authors: Guoxiang Li, Qingqing Zong, Xueli Chen, Malin Song
      Abstract: Energy & Environment, Ahead of Print.
      The reasonable division of intergovernmental environmental affairs is the institutional basis for solving environmental pollution problems. This paper conducts an empirical test using panel data from cities in China. We find that: (a) environmental decentralization significantly improves the supply efficiency of environmental public services (ESE). It's mainly because of the increased capacity for green technology innovation and urban environmental infrastructure development brought about by environmental decentralization. (b) Environmental decentralization will improve the ESE more effectively in regions with the central government acting as a binding force, high environmental preferences, governance capacity of local governments, and pollutant emission intensity. (c) Higher promotion incentives for officials may distort the pollution control effect of environmental decentralization and inhibit the ESE. Appropriate central government transfer payments can better utilize the positive role of environmental decentralization.
      Citation: Energy & Environment
      PubDate: 2023-09-20T10:25:37Z
      DOI: 10.1177/0958305X231201974
       
  • Review of electric vehicle (EV) charging using renewable solar
           photovoltaic (PV) nano grid

    • Free pre-print version: Loading...

      Authors: S Satheesh Kumar, B Ashok Kumar, S Senthilrani
      Abstract: Energy & Environment, Ahead of Print.
      This review article gives a comprehensive review of existing research on renewable solar photovoltaic (PV) nanogrid, which is described from small-scale power system with a single domain for reliability, control, and power quality (PQ) for electric vehicle (EV) charging. A primary feeder on the Microgrid is connected to a nanogrid test bed that includes PV as power source, a battery energy storage system (BESS), smart-inverter multiple and EV charging stations (EVCS). The control algorithms are graded on four metrics: (1) voltage profiles, (2) renewable penetration, (3) PV curtailed and (4) net power flows. To investigate the local power quality, a steady-state power flow model of the nano-grid is created. The control algorithms successfully employ the battery to shift the nano-grid peak load while limiting the nano-grid demand to set level. Furthermore, an increasing emphasis is being placed on commonly used strategies for addressing the characteristics of each renewable system. This review paper characterizes the dynamic operation of 4 distinct BESS control algorithms for solar EV charging nanogrid: (1) peak load shifting, (2) reduce peak period impact, (3) cap demand, and (4) photovoltaic capture. These control modes are executed and analyzed on real-world nano-grid site, and optimal BESS control modes are assessed in terms of (1) solar electric vehicle charging, (2) power quality, (3) grid net demand, (4) photovoltaic curtailment, and (5) solar penetration. Finally, the problems highlight research gaps, and discussions on future trends are critical for enhancing the general technology of the renewable solar photovoltaic nano-grid for EV charging.
      Citation: Energy & Environment
      PubDate: 2023-09-20T10:24:51Z
      DOI: 10.1177/0958305X231199151
       
  • Social credit system construction and corporate environmental performance:
           A quasi-natural experiment from China

    • Free pre-print version: Loading...

      Authors: Xinghua Cui, Xueping Ning, Ning Xu, Wenjie Zhang
      Abstract: Energy & Environment, Ahead of Print.
      This study explores the role of social credit system construction, an informal institution, in improving corporate environmental performance. To identify the causal connections between social credit and corporate environmental performance, the progressive difference-in-differences (DID) method is adopted by introducing the social credit system construction pilots aiming to improve the social credit environment of China as a quasi-natural experiment. Empirical results imply that social credit system constructions exert a significant improvement effect on corporate environmental performance. In addition, corporate innovation, financial constraints alleviation, and the strengthening of environmental cases enforcement are three effective action mechanisms by which social credit system constructions helping improve corporate environmental performance. Moreover, this promotion effect presents heterogeneity characteristics due to enterprises ownership and the environmental pollution degree of the city where the enterprise is located. This study provides an informal institutional perspective for the green development of enterprises.
      Citation: Energy & Environment
      PubDate: 2023-09-14T11:17:46Z
      DOI: 10.1177/0958305X231199153
       
  • Have the pilot carbon markets achieved synergistic control of carbon
           abatement and pollution reduction' The quasi-experimental evidence from
           China

    • Free pre-print version: Loading...

      Authors: Tiantian Yang, Lan Yi, Jing Li, Qingquan Liang
      Abstract: Energy & Environment, Ahead of Print.
      The Chinese government has emphasized the necessity of synergistic control for carbon abatement and pollution reduction in the protection of eco-environment, as part of the 14th Five-Year Plan and the Long-range Objectives Through the Year 2035. As an important tool to reduce CO2, the carbon market can also affect the air pollution synergistically. The study utilizes the multi-period difference-in-difference (DID) model to analyze the impact of carbon market on carbon abatement, as well as the synergistic effect on different air pollutants. The study analyzes the mechanisms for carbon market to achieve synergistic control from the perspectives of “quantity” and “category” comprehensively. The findings indicate that: (1) carbon markets can reduce CO2 significantly, with a synergistic effect mainly observed on SO2 and soot (dust). These results remain robust when focusing on the industrial sector or adopting the PSM-DID estimation, etc.; (2) the mechanisms to achieve synergistic control vary among different air pollutants. Promotion of technology can only synergistically reduce SO2. Optimization of energy consumption structure is the top priority for reducing CO2. The most effective mechanism to achieve synergistic control of air pollutants is improvement of energy utilization efficiency; (3) to achieve synergistic control goals, the Chinese national market should prioritize industries that release both CO2 and NOx in the rolling-out plan, enrich the trading tools, and formulate effective price signals.
      Citation: Energy & Environment
      PubDate: 2023-09-14T11:17:06Z
      DOI: 10.1177/0958305X231201535
       
  • Estimating the impact of fishery industry on marine pollution: New
           insights from Method of Moments Quantile Regression

    • Free pre-print version: Loading...

      Authors: Mohd Alsaleh, Xiaohui Wang, Zhang Nan
      Abstract: Energy & Environment, Ahead of Print.
      Indeed, waste from marine may have a significant negative economic impact on coastal towns, tourism, shipping, and fisheries. Given its accumulation and spread, waste from marine may be one of the most urgent dangers to the sustainability of marine life and the health of the EU's waters. By considering the role of production in fisheries, fossil fuel use, economic development, and governance from 1990 to 2022, this research seeks to explore the dynamic influence of the fisheries sector on marine hazardous waste in 27 European nations. At higher quantiles, the findings showed a strong positive association between fisheries capacity production and marine hazardous waste at a 1% statistical level using the new Method of Moments Quantile Regression with fixed effects. From the fifth through the ninth quantiles (≈0.250), fishery output considerably increases marine waste, with a more substantial influence at the highest (≈0.239) and a lower impact at the lowest quantile (≈0.056). The findings also show that affluent countries in the EU14 have more significant at a 1% statistical level beneficial effect on marine waste than developing nations in the EU13. Using fossil fuels increased marine waste across all quantiles at a 1% statistical level. Still, economic development in EU14 developed and EU13 developing countries causes marine waste to decrease, at 1% and 10% statistical levels, respectively, supporting the growth theory for nations that produce fisheries. From the first through the ninth quantiles (≈−6.677) in EU27 nations, the influence of governance was adversely significant at a 1% statistical level. The findings suggest that the developed EU14 countries are more affected negatively by governance on marine waste. Using effective and environmentally friendly technology, policymakers may reduce marine waste in the EU14 and the EU13 nations while achieving sustainable development objectives.
      Citation: Energy & Environment
      PubDate: 2023-09-14T11:16:48Z
      DOI: 10.1177/0958305X231200572
       
  • Does the digital economy reduce carbon emissions' The role of
           technological innovation and trade openness

    • Free pre-print version: Loading...

      Authors: Qiang Wang, Xinchen Cheng, Rongrong Li
      Abstract: Energy & Environment, Ahead of Print.
      In order to better understand the digital economy on carbon emissions, the intermediary effect model based on technological innovation and the panel threshold model based on trade openness and energy intensity are used to study the relationship between the digital economy and carbon emissions in G7 countries. In addition, a quantile regression analysis on the impact of the digital economy under different carbon emission levels is also conducted. The empirical results show that: (i) the digital economy has a significant inhibitory effect on per capita carbon emissions. (ii) The mechanism analysis shows that the digital economy can indirectly affect per capita carbon emissions by affecting technological innovation. (iii) The threshold effect of trade openness and energy intensity is significant. Under high openness and low energy intensity, the digital economy has a stronger inhibitory effect on per capita carbon emissions. (iv) The quantile regression results show that the carbon emission reduction effect of the digital economy is greater at the low-carbon emission level.
      Citation: Energy & Environment
      PubDate: 2023-09-12T07:16:51Z
      DOI: 10.1177/0958305X231196127
       
  • A dual-path model: Bridge between heterogeneous environmental regulations
           and enterprise green innovation

    • Free pre-print version: Loading...

      Authors: Silu Chen, Chenling Tian, Xia Jiang, Jiaxin Lai
      Abstract: Energy & Environment, Ahead of Print.
      Although environmental regulations are effective forces to conduct green innovation, the existing research has not yet reached a consensus on the relationship between environmental regulations and enterprise green innovation. The objective of this study is to explore the influence mechanism of environmental regulations (i.e., market-based and command-based) on enterprise green innovation from the perspective of social information processing theory and regulatory focus theory. A time-lagged survey based on a Chinese sample of 184 firms supports the hypothesized moderated mediation model. The results show that (a) environmental regulations positively impact enterprise green innovation; (b) top management team (TMT) harmonious environmental passion climate fully mediates the relationship between market-based environmental regulation and enterprise green innovation, while TMT environmental performance anxiety climate partially mediates the relationship between command-based environmental regulation and enterprise green innovation; (3) chief executive officer (CEO) promotion regulatory focus moderates the positive impact of TMT harmonious environmental passion climate on enterprise green innovation, and CEO prevention regulatory focus moderates the positive impact of TMT environmental performance anxiety climate on enterprise green innovation. These findings extend the green innovation literature on how and when environmental regulations affect enterprise green innovation.
      Citation: Energy & Environment
      PubDate: 2023-09-12T06:17:20Z
      DOI: 10.1177/0958305X231200573
       
  • Can industrial agglomeration affect biodiversity loss'

    • Free pre-print version: Loading...

      Authors: Lu Xing, Shuhong Wang
      Abstract: Energy & Environment, Ahead of Print.
      Reducing the rate of species extinction and protecting biodiversity are major international concerns. The loss of biodiversity is closely related to international trade as an inevitable result of industrial agglomeration and improvements in green economy efficiency. In contrast to previous studies on biodiversity loss from the perspectives of deforestation, hunting, and fire, this study examines biodiversity loss from an international trade perspective, calculates the biodiversity footprint of each country as an indicator of biodiversity loss, and innovatively elaborates on the theoretical mechanisms of industrial agglomeration, green economy efficiency, and biodiversity loss. An empirical analysis used panel data from 148 countries from 2006 to 2020. This study identifies that industrial agglomeration directly and indirectly aggravates biodiversity loss through green economy efficiency, which mediates the relationship between industrial agglomeration and biodiversity loss. The effects of industrial agglomeration and green economy efficiency on biodiversity loss driven by export trade in developed and developing countries are consistent with the benchmark test results. The effect of industrial agglomeration on green economy efficiency is positive in developed countries and vice versa in developing countries. By region, green economy efficiency can significantly mitigate the embodied biodiversity loss in the export trade in Asia, Africa, and North America, whereas its influence in Europe and North America is insignificant. This study extends the perspective of biodiversity research from the natural to economic fields, delves into the underlying economic causes of the current state of trade-driven biodiversity loss, and provides important evidence for reducing biodiversity losses caused by international trade.
      Citation: Energy & Environment
      PubDate: 2023-09-08T06:11:24Z
      DOI: 10.1177/0958305X231200575
       
  • Performance of the autoregressive integrated moving average model with
           exogenous variables statistical model on the intraday market for the
           Denmark-West bidding area

    • Free pre-print version: Loading...

      Authors: Marko Lucic, George Xydis
      Abstract: Energy & Environment, Ahead of Print.
      This article aims to investigate whether a statistical model known as Autoregressive Integrated Moving Average with Explanatory Variables can aid better predictability of volume-weighted average electricity prices compared to a commonly used forecasting method. This analysis was conducted for a specific bidding area, the Denmark-West bidding area (DK1). Autoregressive integrated moving average model with exogenous variable's performance was tested on the DK1 intraday market over a two-year period starting from 1 January 2019 until 31 December 2020. An explanatory variable used to support better the accuracy of the forecast is the day-ahead price for a corresponding intraday delivery hour. To ensure the validity of the paper, a well-known forecasting methodology was applied, and the results of the analysis show superior performance over the benchmark forecasting method. The autoregressive integrated moving average model with exogenous variables model developed was found to significantly outperform other commonly used forecasting methods, with an average mean absolute percentage error of 1.5%. The model was able to accurately predict intraday volume-weighted average prices up to 24 h in advance, using only publicly available data on day-ahead prices and historical intraday prices. Energy traders and other market players may find the developed autoregressive integrated moving average model with exogenous variables model to be a useful resource when looking to make more informed decisions in the intraday market.
      Citation: Energy & Environment
      PubDate: 2023-09-06T07:50:23Z
      DOI: 10.1177/0958305X231199154
       
  • Spatial analysis of carbon emission effect of financial development in
           Africa: The role of energy and socioeconomic factors

    • Free pre-print version: Loading...

      Authors: Delphin K Espoir, Benjamin M Mudiangombe, Regret Sunge, Andrew A Alola
      Abstract: Energy & Environment, Ahead of Print.
      The need to mitigate global warming has led policymakers and other stakeholders to see further understanding of the driving forces behind CO2 emissions. Financial development has been identified among the most influential factors. However, its importance has not been well explored in developing countries, especially in Africa. Several studies have explored the CO2 emissions-effects of financial development in Africa but focused on the temporal aspect and overlooked the spatial dependence which has the potential to influence the estimated marginal effects. In so doing, they consider each country as an island which tends to suggest that there are no spatial spillover effects that could originate from countries’ proximity. In this study, such an inaccurate assumption is relaxed by deploying a spatial Durbin model to explore the spatial dependence in the financial development-CO2 emissions nexus for 52 African countries between 1995 and 2017. Our results reveal a significant positive direct effect (0.020) on financial development in a given country and a significant positive indirect effect (0.074). Thus, our estimated marginal effects show a positive and significant total effect (0.095), indicating that a 1% increase in financial development will result in a net increase of CO2 emissions of about 0.095%. This finding implies that financial development contributes negatively to the surge of CO2 emissions in Africa. While the environmental Kuznets curve hypothesis is validated in the continent, renewable energy utilization is found to posit significant environmental effects. This finding is crucial to policymakers as it stands as a reminder about the role of the neighbourhood in designing and implementing environmentally friendly policies that aim at reducing pollution in Africa.
      Citation: Energy & Environment
      PubDate: 2023-09-06T07:49:54Z
      DOI: 10.1177/0958305X231188101
       
  • Renewable energy generation, agricultural value added and globalization in
           relation to environmental degradation in the five most populous countries
           in Asia

    • Free pre-print version: Loading...

      Authors: Arshad Ali, Guo Xiangyu
      Abstract: Energy & Environment, Ahead of Print.
      This study aims to examine the impact of globalization, renewable energy generation, and agricultural value addition on the ecological footprint (EF) and carbon emissions (CO2) of selected five most populous countries in Asia during the period 1975–2020. The Westerlund cointegration test supports long-term cointegration relationships among the considered variables in selected countries. The long-term elasticity results of the mean group, augmented mean group, and common correlated effects mean group estimators clearly show that agricultural value added and globalization make significant contributions to the ecological footprint and carbon emissions of the five most populous countries in Asia. However, renewable energy generation significantly reduces the ecological footprint and carbon emissions. Moreover, the impact of gross domestic product (GDP) on ecological footprint and carbon emissions is significantly positive while the impact of GDP2 on ecological footprint and carbon emissions is significantly negative, thus validating the inverted U-shaped Environmental Kuznets Curve hypothesis for specific Asian densely populated countries. The results of the causality test indicated a two-way causality between renewable energy generation and ecological footprint, supporting the feedback hypothesis. There is also a two-way causal relationship between agricultural value added and ecological footprint. Overall, these empirical results show that renewable energy plays a prominent role in combating environmental pollution in selected densely populated Asian countries. Thus, these countries should achieve their sustainable development goals by cultivating existing renewable energy generation policies. Moreover, specific densely populated countries in Asia should encourage clean energy production and consumption in the agricultural sector, and increased investment in renewable energy can improve environmental quality and agricultural production.
      Citation: Energy & Environment
      PubDate: 2023-09-06T06:02:55Z
      DOI: 10.1177/0958305X231199152
       
  • Unraveling the link between political polarization and wind energy
           perspectives: Insights from a survey of agricultural landowners in
           Alberta, Canada

    • Free pre-print version: Loading...

      Authors: Monique Holowach, John R Parkins
      Abstract: Energy & Environment, Ahead of Print.
      Wind energy development can be polarizing with opposition coming from rural regions that are most affected by new wind farms. Local opposition can become further entrenched through political ideologies, where one's perspective on wind turbines becomes a litmus test for one's political position. With these concerns in mind, we utilize results from a survey of large-scale agricultural landowners in Alberta, Canada, to answer the following question. To what extent are self-declared political positions consistent with views on wind energy development' Results indicate that wind energy acceptance is not politically polarized nor even polarized among Alberta's rural landowners. Instead, the sample reveals fragmented, moderate, and likely malleable opinions about wind energy. Within a jurisdiction that is politically conservative and fossil fuel dependent, these results have largely positive implications for future wind energy development in the province.
      Citation: Energy & Environment
      PubDate: 2023-09-01T06:17:32Z
      DOI: 10.1177/0958305X231199150
       
  • Thermal analysis of radiative and electromagnetic flowing of hybridity
           nanofluid via Darcy–Forchheimer porous material with slippage
           constraints

    • Free pre-print version: Loading...

      Authors: M. Israr Ur Rehman, Haibo Chen, Aamir Hamid, Wasim Jamshed, Mohamed R. Eid, Faisal Z. Duraihem, Haifa Alqahtani
      Abstract: Energy & Environment, Ahead of Print.
      The goal of this research is to address the electrical magnetohydrodynamic flow of hybridity nanoparticles through a stretched surface with the impact of the Darcy–Forchheimer permeable medium. By identifying appropriate similarity factors, the partial differential equation is converted into a set of ordinary differential equation with the help of R-K fourth-order approach based on shooting technique. The velocity, thermal, friction factor coefficient, and heat transport are investigated comprehensively for the influence of numerous blossoming parameters refer to in the present study by plots graphically. It is accomplished that due to the influence of the electric field associated with first- and second-order velocity slip impacts, the motion of liquid slows down. Moreover, the stream velocity grows for the boosting scales of mixed convection, which leads to eliminating sticking impact. The variation of important flowing variables on heat transport and the drag coefficient is also investigated. Here augmenting valuation of mixed convection parameter corresponds to boost up velocity curve. Furthermore, the influence of thermal field and heat transport are similar in view of the Biot number.
      Citation: Energy & Environment
      PubDate: 2023-08-31T05:58:23Z
      DOI: 10.1177/0958305X231196298
       
  • The impact of eco-innovation and economic growth on carbon emission:
           Evidence using novel QARDL approach

    • Free pre-print version: Loading...

      Authors: Li Li, YunQian Zhang, Ching-Chi Hsu, Nguyen The Vinh, Ky Nguyen Tran, Thanh Quang Ngo
      Abstract: Energy & Environment, Ahead of Print.
      High economic growth in fast growing country like China is not without its environmental repercussions and eco- innovations have been promoted as a successful strategy for striking a balance between environmental performance and economic growth. However, there has not been much focus on how eco-innovation affects the performance of carbon emission in China. This study estimates the impact of eco- innovation on CO2 emission under the Environmental Kuznets Curve (EKC) hypothesis over the 1986–2022 period. To estimate the nexus empirically, we applied Quantile ARDL (QARDL) approach. The results of the research reveal that eco-innovations have significant yet negative effect on CO2 emission at all quantiles (0.05–0.90). Economic growth is linked positively with carbon emission over 0.05 to 0.70 quantiles, whereas its square impacts CO2 emission negatively and significantly at 0.60 to 0.95 quantiles. These findings confirm that EKC hypothesis exists in China. The findings in short run find that eco-innovations had negative impact on carbon emission, whereas in case of economic growth it shows positive connection, however, the GDP sq. shows negative linkage. On the basis of these results, the research recommends Chinese authorities to promote eco-innovations by providing influential incentives to households and business sectors to eliminate the negative trends of economic growth on environment. In addition, the study recommends that “renewable energy law” needs be implemented by institutions to encourage the renewable energy use in all sectors that is proved to have positive environmental impacts for China.
      Citation: Energy & Environment
      PubDate: 2023-08-30T06:53:45Z
      DOI: 10.1177/0958305X231184552
       
  • Ultrasounds-assisted solvothermal synthesis of Ni-Co-Mn MOFs/PANI-CNTs
           nanocomposites with enhanced electrochemical energy storage performance

    • Free pre-print version: Loading...

      Authors: Wajahat Khalid, Muhammad Ramzan Abdul Karim, Muhammad Atif, Waseem Shehzad, Mohsin Ali Marwat, Khurram Yaqoob
      Abstract: Energy & Environment, Ahead of Print.
      Among various energy storage devices, one of the emerging classes to be considered nowadays is advanced eco-friendly supercapacitors. Despite vast research regarding their electrochemical performance, there is still room for further refinement. Here, such an attempt has been made by producing nanocomposites of NiCoMn ternary transition metal-organic frameworks (MOFs) with conductive-natured carbon nanotubes (CNTs) functionalized with polyaniline (PANI). A rather different approach i.e., ultrasounds assisted solvothermal method has been employed to prepare the MOFs and their nanocomposites with varying concentrations (0, 20, 40, 60 mg) of PANI functionalized CNTs (PC). A comparison analysis suggests that NiCoMn/PC-40 (40 mg PANI-CNTs) has shown excellent electrochemical performance. In the material of worth attention, the formation of flower-like morphology and crystallinity was explored and confirmed by SEM and XRD characterizations. FT-IR analysis facilitated the exploration of compositional and functional groups of the best-performing material. The large cyclic area, highest specific capacity, excellent stability, less ion transport resistance, and excellent morphology proved NiCoMn/PC-40 as an excellent next-generation supercapacitor battery-grade material with the dominance of diffusive response (71.7%). It has been shown 1194 C/g of specific capacity with an extraordinary energy density of 82 Wh/kg and 1105 W/kg of power density by the NiCoMn/PC-40. At 20 A/g, 100% cyclic stability after 5000 charge/discharge cycles with 97.5% columbic efficiency was achieved. In essence, the excellent electrochemical performance, ease of fabrication, and affordable cost can provide a breakthrough in value addition of NiCoMn/PC-40 worth as a proficient energy storage material.
      Citation: Energy & Environment
      PubDate: 2023-08-25T04:17:38Z
      DOI: 10.1177/0958305X231196126
       
  • Does the carbon emissions trading scheme improve the corporate
           environmental information disclosure level' Evidence from China

    • Free pre-print version: Loading...

      Authors: Peilun Li, Huilin Zhang, Caiting Yang, Jiafeng Zhang
      Abstract: Energy & Environment, Ahead of Print.
      Recently, a great deal of literature has discussed the effects of the carbon emissions trading scheme (CETS) and the factors that affect the corporate environmental information disclosure (CEID) level. However, no researchers have studied how CETS affects the CEID level. Based on a difference-in-difference-in-differences model, we discover that CETS can improve the CEID level. The findings are robust and persistent even after testing for time lags and leads effects, changing the measure of the dependent variable, testing for enterprise relocation, adjusting the fixed effect method, testing for concurrent policies, and performing placebo tests. The reason is that CETS can encourage corporate green technology innovation and environmental protection investment, thus improving the CEID level. Further investigation reveals that the impact of CETS on promoting the CEID level is more significant when the following conditions are met: the enterprises are in provinces and cities in the east and northeast; they are state-owned; and they have strong political connections. This paper expands on the current field of research on the influence effects of CETS, broadens the understanding of the factors influencing the CEID level, and investigates the mechanism by which CETS improves the CEID level.
      Citation: Energy & Environment
      PubDate: 2023-08-25T04:17:21Z
      DOI: 10.1177/0958305X231195363
       
  • Energy consumption optimization for sustainable flexible robotic cells:
           Proposing exact and metaheuristic methods

    • Free pre-print version: Loading...

      Authors: Mazyar Ghadiri Nejad, Reza Vatankhah Barenji, Güldal Güleryüz, Seyed Mahdi Shavarani
      Abstract: Energy & Environment, Ahead of Print.
      Many manufacturing companies are always looking for a way to reduce energy consumption by utilizing energy-efficient production methods. These methods can be different depending on the type of products and production technology. For instance, one of the ways to increase energy efficiency and keep the precision of production is to use robots for the transportation of the parts among the machines and loading/unloading the machines. This technology is affordable compared to the technologies used in manufacturing companies. Manufacturing companies that rely on robotics technology must have a strategy to reduce energy costs and at the same time increase production by adjusting the intensity of processing or controlling the production rate. This study presents an exact solution method for flexible robotic cells to control the production rate and minimize energy consumption, which aims to both reduce electricity prices and minimize greenhouse gas (GHG) emissions under a lead time of production. Then, considering the NP-hardens nature of the problem, a heuristic solution method based on the genetic algorithm (GA) is proposed. Using the proposed approach, manufacturing companies will be able to make more accurate decisions about processing intensity and process scheduling while ensuring sustainability.
      Citation: Energy & Environment
      PubDate: 2023-08-24T05:54:10Z
      DOI: 10.1177/0958305X231193868
       
  • Marine spatial planning identifies solutions for offshore wind farms at
           fishery and environment in Taiwan territorial waters

    • Free pre-print version: Loading...

      Authors: Victor Te Cheng Liao
      Abstract: Energy & Environment, Ahead of Print.
      Some fishery and environmental organizations criticize offshore wind farms affecting fishery livelihood and marine ecological biological environment. The problems offshore wind farm directly affect the fishing ground due to ocean currents, marine ecology, and the marine environment being changed. In addition, fishing operations may carelessly damage undersea offshore wind farm cables disrupting energy operations, many fishing activities are restricted within the offshore wind farm areas and marine ecological biological environment has been damaged by offshore wind farm. However, marine spatial planning could coordinate offshore wind farm stakeholders and conducts marine environmental impact assessments to identify suitable offshore wind farms. The purpose finds solutions for offshore wind farm in the fishery and marine ecological biological environment. The research questions are how to reduce offshore wind farm impact on fishery livelihood and marine ecological biological environment through marine spatial planning and marine environmental impact assessment in the Taiwan territorial waters. In online questionnaires of 404 respondents, 64.36% supported marine spatial planning site selection and marine environmental impact assessment could reduce offshore wind farm impact; 66.83% agreed offshore wind farm coexistence with multiple uses, increasing fishery and biodiversity; 58.17% agreed on public financial participation in offshore wind farm to increase social acceptance. The findings are consistent with previous research. However, interviewees challenged that multiple uses coexistence might affect some populations in the ecosystem and further investigations are required. Another, 50.50% agreed on updated regulations of marine spatial planning, marine environmental impact assessment, insurance, specific fund, feedback, and compensation of offshore wind farm that could improve fishery livelihood and marine ecological biological environment. Finally, based on the study results, the paper suggests that energy policy could open public financial participation in offshore wind farm increasing social acceptance, skill training influenced groups for employment, enhancing fishery livelihood, and protecting marine ecological biological environment.
      Citation: Energy & Environment
      PubDate: 2023-08-23T05:01:16Z
      DOI: 10.1177/0958305X231194720
       
  • Optimal integration of long- and short-term operational planning decisions
           to design and manage electronic vehicle charge stations by CQOCRO
           technique

    • Free pre-print version: Loading...

      Authors: B Venkata Prasanth, B Mouli Chandra, C Subba Rami Reddy, T Murali Krishna
      Abstract: Energy & Environment, Ahead of Print.
      This article proposes a hybrid method to design and manage the electronic vehicle payment station network in the event of power demand uncertainty. The proposed method is an integrated process with confusing virtual-anticipation and chemical reaction enhancement, hence named as chaotic quasi-oppositional chemical reaction optimization (CQOCRO) method. The key objective of the CQOCRO method is to develop a reliable model to assist in the design and management of an EVCS location, power supply line hazard and power demand entropy. The CQOCRO method creates a random nonlinear model of disruption that includes equivalent tactical outcomes and operational outcomes for designing and managing a stable EVCS network in the event of power demand uncertainty. Because of the extreme electricity flow, the power line is overheated which is handled by the proposed method. The proposed method addresses the possibility that excessive current flow-related line overheating could result in power line failure. The design of EVCS is based on the factors like type of power supply network, location and opening hours of charging stations, limited resources, potential for power supply line failure due to high load, and uncertainty of power demand. Accordingly, the performance of the CQOCRO method is done in MATLAB platform and the performance utilizes the existing techniques.
      Citation: Energy & Environment
      PubDate: 2023-08-23T05:00:18Z
      DOI: 10.1177/0958305X231190352
       
  • Unraveling the interplay between food security, agriculture, trade policy,
           and energy consumption: An environmental sustainability insight

    • Free pre-print version: Loading...

      Authors: Yugang He
      Abstract: Energy & Environment, Ahead of Print.
      Food security, energy dynamics, and environmental sustainability represent some of the most critical global challenges in the contemporary world. This research undertakes the intricate task of deciphering the multidimensional impacts of food security, agricultural practices, trade policy, and energy consumption on the evolution of greenhouse gas emissions in South Korea spanning the period of 1990–2020. Employing a sophisticated autoregressive distributed lag approach, this study strives to extract both short-run and long-run interpretations. Moreover, the integration of a vector error correction model serves to illuminate the underpinnings of causal relationships. The findings reveal that nonrenewable energy consumption and food security impose a deleterious effect on environmental sustainability, predominantly via their enhancement of greenhouse gas emissions. In contrast, renewable energy consumption, agriculture, and trade policy emerge as key drivers of environmental sustainability due to their potential to mitigate greenhouse gas emissions. The vector error correction model corroborates the existence of short-term bilateral causality among food security, energy consumption, and greenhouse gas emissions. Yet, agriculture and trade policy display a unidirectional influence in the short term, effectively reducing greenhouse gas emissions. This causal nexus lends credence to the significant implications of short-term agricultural and trade policy decisions on greenhouse gas emissions. The study ultimately underscores the imperative role of government intervention in South Korea in fostering energy-efficient and environmentally responsible strategies for greenhouse gas emissions reduction and enhanced environmental sustainability.
      Citation: Energy & Environment
      PubDate: 2023-08-22T06:09:37Z
      DOI: 10.1177/0958305X231195604
       
  • Is the process of urbanization good for efficiency in the construction
           industry: Applying the SBM-DEA model based on energy use and CO2 emissions
           

    • Free pre-print version: Loading...

      Authors: Yi-Nuo Lin, Yung-Ho Chiu, Tai-Yu Lin, I-Fang Lin, Tzu-Han Chang, Shu-Mei Wang
      Abstract: Energy & Environment, Ahead of Print.
      This research employs the modified undesirable slack-based measure dynamic exogenous data envelopment analysis model to evaluate the construction industry efficiency in 30 provinces of China from 2006 to 2017. It considers the differences in urbanization levels in three (east, central, west) regions and evaluates the profitability, resource allocation, energy consumption, and carbon emission efficiency of the construction industry. The results are as follows. First, the construction industry efficiency is the best in the east, followed by the central region, and lowest in the west. Second, the changing trends in this industry's efficiency are widespread across the nation's regions. The highest point of efficiency in the east region is at the beginning of the research period, but it then declines. The efficiency value of the central region reaches its peak around 2012 and then falls. The west region experiences increasing efficiency year-by-year until peaking in 2017. Third, depending on the degree of urbanization, its effects are also diverse. Therefore, the China government must examine the degree of urbanization to avoid environmental problems brought by urbanization that can bring about a drop in efficiency of the construction industry.
      Citation: Energy & Environment
      PubDate: 2023-08-18T08:30:49Z
      DOI: 10.1177/0958305X231192356
       
  • Evaluating carbon payback time by optimizing insulation materials for
           different orientations: A cradle-to-gate life cycle assessment

    • Free pre-print version: Loading...

      Authors: Ali Rafat Gigasari, Javier Cárcel-Carrasco, Luis Manuel Palermo Iglesias, Nima Amani
      Abstract: Energy & Environment, Ahead of Print.
      The European Union aims to reduce greenhouse gases emissions by 80–95% compared to 1990 levels by 2050. Therefore the life cycle concept has gained widespread acceptance as a model for evaluating the environmental impact of goods and services. In this study, the optimal thickness of various insulation materials for external walls, roofs, and floors using a Mediterranean climate zone's hot summers and mild winters for a hypothetical residential building for four cardinal orientations was determined. The criteria for determining the optimum thickness represent a turning point in terms of cooling energy consumption (electricity). The optimum thickness of nine different types of insulation materials was defined using the aforementioned approach. These materials included aerogel, polyisocyanurate, polyurethane, extruded polystyrene, expanded polystyrene, phenolic foam, cellulose fiber (cellulose), mineral wool, and glass wool (GW). The purpose of this paper is to calculate the carbon payback time (CPBT) using the cradle-to-gate life cycle assessment method by considering the global warming potential (GWP) of insulation materials at their optimum thickness. The CPBT is calculated as the ratio of the total building's GWP to the GWP of savings from cooling and heating (electricity and natural gas). The results indicated that when evaluating the average CPBT for four cardinal orientations (FCO), aerogel has the longest CPBT of 2.34 years, and GW has the shortest CPBT of just 0.09 years. Aside from cost payback time, the findings of this study provide a new perspective on selecting appropriate thermal insulation.
      Citation: Energy & Environment
      PubDate: 2023-08-18T07:46:27Z
      DOI: 10.1177/0958305X231193871
       
  • Collaborative governance on SO2 pollution from thermal power energy
           consumption: Evidence from Yangtze River Delta urban agglomeration in
           China

    • Free pre-print version: Loading...

      Authors: Qiang Feng, Tao Sun, Xiaorui Liu
      Abstract: Energy & Environment, Ahead of Print.
      In order to explore an effective method for the effect of collaborative governance on SO2 pollution from thermal power energy consumption in the Yangtze River Delta (YRD) urban agglomeration, the spatiotemporal evolution of SO2 pollution from thermal power energy consumption was empirically studied by Moran's I first; then the revised Difference-in-Difference-in-Differences model was constructed to examine the effect of collaborative governance on SO2 emission intensity from thermal power energy consumption, and the time effect of collaborative governance was also examined; finally, the Grey System Prediction Model was used to forecast the SO2 emission intensity from thermal power energy consumption in YRD urban agglomeration from 2021 to 2025. The results show that SO2 emissions from thermal power energy consumption in YRD urban agglomeration have positive spatial autocorrelations, and high-high spatial clusters have the tendency of moving to inland cities from coastal cities. Moreover, SO2 pollution from thermal power energy consumption in YRD urban agglomeration has improved year-by-year after the implementation of collaborative governance and the predicted SO2 emission intensity from thermal power energy consumption in YRD urban agglomeration generally shows a downward trend.
      Citation: Energy & Environment
      PubDate: 2023-08-18T07:45:08Z
      DOI: 10.1177/0958305X231192351
       
  • Comparative analysis of triboelectric behavior of natural waste
           biomaterials and green energy harvesting

    • Free pre-print version: Loading...

      Authors: Jaspreet Kaur, Ravinder Singh Sawhney, Harminder Singh, Manjit Sandhu, Rajdeep Singh Sohal, Amandeep Singh, Maninder Singh, Sandeep Kaur
      Abstract: Energy & Environment, Ahead of Print.
      This study examines the triboelectric behavior of fibers that are readily available and were obtained from the bombax ceiba tree (BOM) and the calotropis plant (CALO). A triboelectric nanogenerator (TENG) is fabricated from these fibers as charge-generating layers that produce a charge by contact electrification. The properties of these fibers which include surface morphology and crystallographic nature are examined using different characterization techniques. Scanning electron microscopy images reflect more roughness in CALO as compared to BOM whereas both materials show an almost amorphous nature in X-ray diffraction data. Further, both materials show tribopositive nature when tested against polytetrafluoroethylene (PTFE) and nylon. While examining their electrical performance, the CALO–PTFE pair produced 11.1 V while 10.7 V is generated from the BOM–PTFE pair. These combinations are capable of illuminating multiple light-emitting diodes of the green spectrum and can derive one digital calculator. Lastly, the dependency of TENG performance on the contact area of active layers is analyzed. From the results obtained, it is concluded that these materials can potentially power small electronic gadgets and can contribute to the growth of a sustainable civilization.
      Citation: Energy & Environment
      PubDate: 2023-08-16T11:44:31Z
      DOI: 10.1177/0958305X231193873
       
  • Environmental policy, green trade and sustainable development in Europe:
           New perspective on the Porter hypothesis

    • Free pre-print version: Loading...

      Authors: Godwin Olasehinde-Williams, Ajide Folorunsho
      Abstract: Energy & Environment, Ahead of Print.
      This study tests the validity of the Porter hypothesis through the examination of the joint effects of green trade and environmental policy stringency on sustainable development in the European Economic Area. To achieve the study objective, data for 14 countries within the region between 2003 and 2015 is analyzed using advanced panel estimation techniques – panel method of moments quantile and nonparametric time-varying coefficient panel models. The empirical analysis yields a number of interesting results. In confirmation of the Porter hypothesis, the interaction term is positive and significant. Specifically, a percentage increase in environmental policy stringency raises the positive impact of green trade on sustainable development by 0.005%. This interactive effect also ranges between 0.002% and 0.007% across quantiles. This indicates that the higher the level of sustainable development, the higher the moderating impact of environmental policy stringency on the relationship between green trade and sustainable development. This suggests that stringent policies are able to induce green technological shocks that cause efficiency improvements and innovation, which in turn promote sustainable development either directly or indirectly through their interactions with green trade. Moreover, the individual and synergistic impacts of environmental policy stringency and green trade are time-varying and sensitive to economic conditions. They become more pronounced in periods of major regional/global economic events. Responsible use of strict environmental policies is advocated, and the removal of green trade barriers is encouraged.
      Citation: Energy & Environment
      PubDate: 2023-08-16T11:37:53Z
      DOI: 10.1177/0958305X231193870
       
  • Evaluating the impacts of imported cultural goods on carbon emission:
           Cross-country evidence

    • Free pre-print version: Loading...

      Authors: Muhammad Qayyum, Shijie Li, Gao Jian, Yuyuan Yu
      Abstract: Energy & Environment, Ahead of Print.
      Low attention has been paid to the environmental effects of imported cultural commodities, which serve as a medium for cultural engagement and information sharing around the globe. Using the generalized method of moment (GMM) approach, this article empirically assesses the effects of imported cultural products on carbon emissions using cross-country panel data from 2004 to 2017 for 121 countries. The empirical findings reveal that the environmental consequences of imported cultural commodities vary among income level country groups. Overall, a 1% increase in the imports of total cultural goods imports would decrease carbon emissions significantly by 0.002%. After dissecting the sample into two groups, we find that a 1% increase in total cultural goods imports would lead to a significant decrease in carbon emissions of higher-income countries by 0.008%, but a significant increase in the emissions of carbon dioxide of lower-income countries by 0.002%, thus showing the importance of worldwide cultural interaction to carbon emissions. In addition, we find that performance & celebration goods and audiovisual & interactive media goods are primarily responsible for the inhibiting effects of imported cultural goods on the carbon emissions of higher-income countries. Imports of the majority of cultural products (with the exception of heritage items) would result in a significant rise in carbon emissions for low-income nations, a conclusion that is consistent with that of overall cultural goods imports. Gross domestic product per capita and economic complexity index have consistently negative effects on carbon emissions across several models for both nation groups, although energy consumption is the most significant contributor to carbon emissions. In addition, using Lasso Poisson regressions, we undertake robustness tests to assess the dependability of our empirical results based on the GMM methodology. The Lasso Poisson estimation results are consistent with our earlier findings.
      Citation: Energy & Environment
      PubDate: 2023-08-14T07:15:09Z
      DOI: 10.1177/0958305X231192358
       
  • Sustainable enhancement of biogas and methane yield of macroalgae biomass
           using different pretreatment techniques: A mini-review

    • Free pre-print version: Loading...

      Authors: Kehinde O. Olatunji, Daniel M. Madyira, Jacob O. Amos
      Abstract: Energy & Environment, Ahead of Print.
      Macroalgae can be grown without the use of fertilizer, fresh water, or arable land. These qualities support its use for biofuel production because it frees up land for other traditional energy sources and food crops. It has been investigated as biogas feedstock to substitute for fossil fuels burning with attendant effects on the ecosystem. The microstructural arrangement of macroalgae biomass is restricting their conversion to biogas. Therefore, application of pretreatment before anaerobic digestion is needed to enhance their availability to microbial degradation and subsequent increase in biogas yield. Pretreatment application for substrate catalysis is vital to recovering eco-friendly and economical energy from macroalgae. This study summarizes the state of the art of various pretreatment methods employed to enhance macroalgae biomass's anaerobic digestion process. These methods were categorized as thermal, biological, chemical, nanoparticle additives, mechanical, and combined. Merits and challenges associated with each of these methods were also considered. The study shows that all the pretreatment methods considered can improve the biogas yield if the appropriate method is selected based on the type of macroalgae species. Pilot-scale studies that will assist in assessing their feasibility on the full-scale implementation are still missing.
      Citation: Energy & Environment
      PubDate: 2023-08-14T05:17:07Z
      DOI: 10.1177/0958305X231193869
       
  • Enhanced honey badger optimization of performance analysis of evacuated
           tube heat pipe solar collector integrated with PCM storage unit

    • Free pre-print version: Loading...

      Authors: C Ramesh, M Vijayakumar, G Kumaresan, Benjamin Franklin Selvanayagam
      Abstract: Energy & Environment, Ahead of Print.
      A hybrid method for improving the efficiency of heat pipe evacuated-tube solar-collector (HPETC) is proposed for incorporating the phase-change materials (PCMs) in both off-demand and regular operation. The proposed hybrid approach is called an improved honey badger algorithm (HBA). The crossover and mutation operator improves the honey badger's (HB) foraging habit. The proposed approach aims to generate hot air at various rates of airflow under incident and nonincident solar-radiation situations. The analysis is done on the effects of different energy-storage systems and the position of the heat pipe (HP). In a normal heat-pipe evacuated-tube solar collector, the HP is put within the glass tube that is closer to the upper-surface, and it is held in place through an aluminum fin. However, in the proposed method, the HP is rearranged in the tube's middle. In order to identify the PCM with the highest average-fin temperature, the temperatures of the area-weighted average-fin are measured and compared throughout the glass tubes under typical conditions. For maximizing the thermal-energy carrying capability, the average liquid fraction volume of PCMs is measured for a 24-h flow period. The average liquid-fraction volume of PCMs is continuously observed in stagnation mode till the glass tube reaches the maximal value. The structured mesh patch conforming method is used to invalidate the HPETC system's constituent parts, improving numerical stability and convergence. The proposed method efficiency is 0.43. The proposed method shows high efficiency compared with other existing methods.
      Citation: Energy & Environment
      PubDate: 2023-08-14T05:12:09Z
      DOI: 10.1177/0958305X231189187
       
  • An experimental evaluation of cetane improving techniques for enhancing
           the performance and emission trade-off in diesel engine: A comparative
           study

    • Free pre-print version: Loading...

      Authors: B Musthafa, MA Asokan
      Abstract: Energy & Environment, Ahead of Print.
      The polyunsaturated fatty acid methyl ester concentration in Prosopis juliflora biodiesel drops the cetane number and affects ignition quality. In this study, two fuel reformulation strategies, viz. partial hydrogenation and the inclusion of Di-tert-butyl peroxide (DTBP), are investigated for their ability to improve the combustion and performance of a diesel–biodiesel (B20) blend without compromising the emissions trade-off. An autoclave reactor utilizes partially hydrogenated juliflora biodiesel and gas chromatography to determine the altered fuel composition. The cetane improver is DTBP, which is mixed with B20 at a concentration of 2000 ppm. The filterability of the test fuel was evaluated using the Tamson filter blocking tendency apparatus. Engine parameters and emissions of the base diesel (D0), JB20, HJB20, and JB20 + DTBP test fuels were examined in a diesel engine. According to the FBT results, JB20 (1.36) and HJB20 (1.28) have good filterability, which is consistent with the ASTM standard (D2068-14). While comparing JB20 blend with modified JB20 fuels decreases NOx (up to 5.24%) and increases brake thermal efficiency (7.5%) at full load. Compared to diesel fuel, partially hydrogenated blend fuel emissions viz. HC, CO, and smoke were reduced by 15.24%, 7.76%, and 10.14%, respectively. Based on the above results, partial hydrogenation is more beneficial than the inclusion of DTBP in enhancing biodiesel's trade-off qualities.
      Citation: Energy & Environment
      PubDate: 2023-08-11T07:02:01Z
      DOI: 10.1177/0958305X231193866
       
  • Carbon emission reduction effect of the low-carbon pilot policy in China:
           Mechanism testing and path identification

    • Free pre-print version: Loading...

      Authors: Kaike Wang, Ru Yin, Hongshuai Dai, Shuhong Wang
      Abstract: Energy & Environment, Ahead of Print.
      Since China's low-carbon pilot policy (LCPP) was launched in 2010, it has moved closer to accomplishing its carbon peak and neutrality targets. However, there is still scant literature on how to accurately consolidate the achievements of the policy in the pilot cities within which it was implemented. This research seeks to address the gap in the current literature by providing a theoretical basis for estimating the effect of LCPP on urban CO2 using a multi-period difference-in-differences model. Panel data from 283 Chinese cities from 2006 to 2019 was utilized. We found that: (1) The LCPP evidently reduced the pilot cities’ CO2. (2) Mechanism verification shows that the LCPP curbs CO2 emissions by improving urban technological innovation and reducing energy consumption. (3) Heterogeneity analysis displays that the CO2 reduction effect is more pronounced in eastern areas, non-resource-based cities, and urban agglomerations. The LCPP has accelerated China's CO2 reduction process and provided Chinese characteristics methods for limiting CO2 emissions and reducing climate change. This is crucial for advancing urban low-carbon governance in the broader country.
      Citation: Energy & Environment
      PubDate: 2023-08-11T06:13:41Z
      DOI: 10.1177/0958305X231194540
       
  • Socio-economic advancement and grid-frequency control of a wind
           farm-PHS-solar connected EV hybrid electrical system considering imbalance
           prices

    • Free pre-print version: Loading...

      Authors: Shreya Shree Das, Jayendra Kumar
      Abstract: Energy & Environment, Ahead of Print.
      The Independent System Operator (ISO) plays a key role in a competitive electrical system by controlling the market with the received bidding from the different market participants. The ISO settled the energy at the location-based marginal pricing (LBMP) where all the participants get economic benefits. In the renewable combined system, the future renewable power production data need to be submitted to the ISO at least one day before the operation. There is always a chance for not fulfilling the contracted power due to the volatile nature of the renewable which creates an imbalance price in the system. In this situation, energy storage systems can alleviate the imbalance issues by supplying additional power to the electrical grid. This study proposes a two-phase scheduling technique for the optimum operation of a wind farm (WF)–pumped hydro storage (PHS)–solar-connected electric vehicle (EV) hybrid system to obtain more economic profit and revenue with a stable grid frequency. In the first phase, the energy level of PHS upper reservoirs has been scheduled to maintain the grid frequency with the presence of a wind farm. Along with the first phase, additionally solar-connected EVs are incorporated in the second phase to maximize the system profit further to get more economic benefit. A modified IEEE 30 bus system is used to effectively assess the aforesaid approach. MiPower software has been used to conduct this work. This proposed method has been compared with the existing method and got better results in all aspects.
      Citation: Energy & Environment
      PubDate: 2023-08-11T06:12:42Z
      DOI: 10.1177/0958305X231192366
       
  • Evaluation of heat stress induced plant metabolites in Fagopyrum
           esculentum Moench. by exogenous application of plant growth promoters

    • Free pre-print version: Loading...

      Authors: Saher Nawaz, Abdul Wahid, Muhammad Shahbaz, Shahzad M. A. Basra
      Abstract: Energy & Environment, Ahead of Print.
      Global warming has a direct relation with high temperature and management of heat stress in field crops is important for sustainable agriculture. Common buckwheat (Fagorpyrum esculentum Moench.) is an emerging pseudocereal and alternative food crop but shows sensitivity to heat stress. This two years (2017 and 2018) research was conducted to explore the physiological and biochemical mechanism of improving heat stress tolerance in buckwheat with foliar spray of different plant growth promoters (PGPs). The preoptimized levels of moringa leaf extract (MLE) of fresh (MFLE, 3%) and dried leaves (MDLE, 10%), ascorbic acid (AsA, 0.5 mM), a vitamin biosynthesized in plants and thiourea (TU, 10 mM), a synthetic growth bioregulator were foliar sprayed. Results revealed that growth attributes including shoot (34.61%) and root length (27.62%), dry weight (641.94% and 40.23%, respectively), stem diameter (52.05%), no. of roots per plant (27.27%), leaf area (24.86%), and no. of internodes per plant (16.17%) were impaired by heat stress. Similarly, antioxidants including leaf and root superoxide dismutase (17.11% and 21.43%), peroxidase (16.81% and 8.40%) and catalase (6.51% and 6.54%), respectively, were significantly affected by heat stress. PGPs spray alleviated heat damage by reducing the biosynthesis of leaf and root MDA and H2O2, and preferential induction of enzymatic antioxidants. PCA-biplot analysis showed that, amongst PGPs, MDLE was greatly effective in inducing antioxidant defense under heat stress. PCA and correlation matrix revealed that PGPs prompted induction of antioxidants was effective more in roots than leaves under heat stress. Conclusively, the induction of antioxidant defense with the PGPs especially with MLEs spray is the main mechanism, with great implications for heat tolerance in common buckwheat.
      Citation: Energy & Environment
      PubDate: 2023-08-08T06:06:01Z
      DOI: 10.1177/0958305X231192355
       
  • Determinants of energy-saving behavior among the youth: Does migration
           play a moderating role'

    • Free pre-print version: Loading...

      Authors: Tuan Nguyen-Anh, Hang Nguyen-Thu, Linh Nguyen-Thi-Thuy, Chi Tran-Phuong, Nguyen To-The
      Abstract: Energy & Environment, Ahead of Print.
      Recent decades have been marked by significant climatic changes and serious environmental damage. This phenomenon is growing more ubiquitous over time and across borders, majorly due to the alarming increase in global energy consumption. Considering the urgent need of reversing the current adverse environmental trends, this study contributes to elucidating the determinants shaping energy-saving behavior among the youth, the central agents of the future economy. We base our analysis on the eminent theory of planned behavior, with the addition of pro-environmental knowledge as a predictor and migration status as a moderator. Crucial findings have been drawn via a structural equation model approach from survey data on 1303 people aged 18 to 29. First, pro-environmental knowledge and subjective norms, through the media of attitude and perceived behavioral control, can predict energy-saving intentions and behavior among the youth. Second, migration status casts a widespread moderating effect across all translation routes, from knowledge to energy-saving behavior. This study is a serious attempt to enrich the relevant literature, further covering the population of the youth and the context of emerging nations. It also provides more in-depth insights into the psychological mechanism underlying the formulation of energy-saving behavior, with the issue of migration being considered. These findings highlight the importance of a migration-specific perspective in designing policies and subsequent programs geared toward energy conservation.
      Citation: Energy & Environment
      PubDate: 2023-08-04T05:46:27Z
      DOI: 10.1177/0958305X231192364
       
  • Effect of income, energy consumption, energy prices, political stability,
           and geopolitical risk on the environment: Evidence from GCC countries by
           novel quantile-based methods

    • Free pre-print version: Loading...

      Authors: Talat Ulussever, Mustafa Tevfik Kartal, Serpil Kılıç Depren
      Abstract: Energy & Environment, Ahead of Print.
      This research investigates the effects of income, total energy consumption (TEC), energy price index (EPI), crude oil price (COP), political risk index (PRI), and geopolitical risk (GPR) on environmental degradation. In this context, the study includes five Gulf Cooperation Council (GCC) countries, which are mainly oil-rich and have high fossil fuel energy consumption with increasing environmental degradation; considers monthly data from 2000/1 to 2021/12, and deploys novel quantile-based methods. The outcomes demonstrate that (i) an increase in income, TEC, and EPI stimulates environmental degradation in all GCC countries; (ii) PRI, COP, and GPR have mixed effects on environmental degradation; (iii) a causal effect from the regressors to CO2 emissions exists in all quantiles except for some middle (0.45–0.55) and higher quantiles (0.95); (iv) the power of effect and causal effect vary according to quantiles and countries; (v) the consistency of the results is validated based on robust model. The findings reveal that an increase in income, TEC, and EPI is generally harmful to the environment in the GCC countries; but, PRI, COP, and GPR have mixed effects. The results of novel quantile-based methods underline the significance of political stability and geopolitical risk effect as non-economic and non-energy factors on environment degradation by demonstrating quantile-based varying effects of the regressors on the environment in GCC countries. Accordingly, various policies, such as focusing on increasing political stability, benefitting from geopolitical risk as leverage, and enabling the transition to clean energy, are discussed.
      Citation: Energy & Environment
      PubDate: 2023-07-27T07:56:14Z
      DOI: 10.1177/0958305X231190351
       
  • Mode selection strategy of energy performance contracting under the
           regulation of carbon tax policy

    • Free pre-print version: Loading...

      Authors: Zong-Hong Cao, Yu Feng, Jie Min, Jian Ou
      Abstract: Energy & Environment, Ahead of Print.
      This article considers a two-echelon supply chain consisting of one large-size supplier and one small-size manufacturer. The supplier wholesales raw materials to the manufacturer who processes them into final products and sells them to consumers. The supplier also engages in Cournot competition with the manufacturer by producing its product and direct selling to consumers. In addition, as an energy service company, the supplier may choose low-carbon production for its product and may help the manufacturer to achieve low-carbon production by providing energy performance contracting services to the manufacturer. We investigate whom the supplier should provide energy performance contracting services to and analyze the impact of the unit matching cost and the investment cost coefficient in implementing the energy performance contracting project on the optimal decisions and profits for the two members. The results show that when the investment cost coefficient is not high, the supplier prefers to provide energy performance contracting services to the manufacturer under a low matching cost and to the two members under a high matching cost. However, the manufacturer prefers to enjoy energy performance contracting services for itself regardless of the matching cost. With the increasing investment cost coefficient, the supplier changes the decision to prefer to provide energy performance contracting services for itself. In such case, the manufacturer also prefers to not accept energy performance contracting services, so the two supply chain members’ profits are highest.
      Citation: Energy & Environment
      PubDate: 2023-07-25T06:07:05Z
      DOI: 10.1177/0958305X231189184
       
  • New insights from selected South Asian countries on the determinants of
           GHG emissions

    • Free pre-print version: Loading...

      Authors: Md. Hasanur Rahman, Liton Chandra Voumik, Salma Akter, Magdalena Radulescu
      Abstract: Energy & Environment, Ahead of Print.
      In developing economies, there is a lack of certainty in energy and environmental economic policy. In contrast, research into the interplay between population, economic growth (GDP), renewable energy, nuclear energy, fossil fuels, and greenhouse gas (GHG) emissions has received comparatively little attention. Thus, the main motive of this exploration is to analyze the influence of population, economic growth, and various energy sources consumption on the selected South Asian economy's GHG emissions using the STIRPAT model. The period 1972–2021 is used to estimate results by considering cross-sectional dependence (CSD) and slope homogeneity (SH) tests, as well as second-generation unit root and cointegration tests. Due to the presence of SH, CSD, and mixed-order unit root problems, the cross-sectional autoregressive distributive lag (CS-ARDL) model has been used to estimate the value of selected variables. The impact of GDP and population is positive but insignificant for South Asian countries in the short run, but GDP is significant in the long run. The research also revealed that burning fossil fuels significantly contributes to atmospheric gas emissions level. In addition, renewable and nuclear energy play useful and substantial roles in reducing pollution in South Asian countries. Therefore, it is recommended that the economies of the South Asian countries maintain a uniform approach to economic policy to fully benefit from the advantages of increased green and safe energy production.
      Citation: Energy & Environment
      PubDate: 2023-07-25T06:05:53Z
      DOI: 10.1177/0958305X231189180
       
  • Remittance inflow and its impact on green growth in China: Economic and
           environmental implications of labor mobility

    • Free pre-print version: Loading...

      Authors: Lingxuan Zhang, Xiaomei Lian, Sana Ullah
      Abstract: Energy & Environment, Ahead of Print.
      This study contributes to the existing body of knowledge by examining the nonlinear impact of remittance inflow on green growth. To analyze the short and long-run estimates, we have relied on the nonlinear autoregressive distributed lag and quantile autoregressive distributed lag models. The use of nonlinear autoregressive distributed lag and quantile autoregressive distributed lag models to analyze the impact of remittance inflow on green growth is an innovative approach that adds to the existing body of knowledge on this topic. The long-run results from the nonlinear autoregressive distributed lag suggest that a positive shock in remittance inflow improves green growth, while a negative shock reduces green growth. Moreover, foreign direct investment, research and development activities, environmental technology, and financial development encourage green growth. In the short run, the remittance inflow improves the green in the nonlinear model only, and foreign direct investment promotes green growth in linear and nonlinear models. The nonlinear quantile autoregressive distributed lag results show that, in the long run, green growth exhibits an asymmetric response to both positive and negative changes in remittance inflow, particularly at higher quantiles. Our findings will suggest appropriate policies to policymakers regarding the effective utilization of remittances to enhance green growth.
      Citation: Energy & Environment
      PubDate: 2023-07-21T05:13:23Z
      DOI: 10.1177/0958305X231186143
       
  • Energy regulation, energy innovation, and carbon intensity nexus in China:
           A nonlinear perspective

    • Free pre-print version: Loading...

      Authors: Feng Yanzhe, Sana Ullah
      Abstract: Energy & Environment, Ahead of Print.
      Considering the role of energy regulations and innovations in reducing energy-driven emissions, our main objective is to scrutinize the influence of energy regulations and innovations on carbon intensity in China over the period 1991–2020. In contrast to the previous studies, the analysis also focuses on the asymmetry assumption. The scientific value added to this study lies in its innovative methods and empirical evidence. The autoregressive distributed lag model, both linear and nonlinear, is utilized in the research to examine the short- and long-run estimates. The linear model highlights that energy regulations, energy innovations, and human capital reduce carbon intensity in the long run, while per capita income and financial development escalate it. However, only energy regulations and human capital help reduce carbon intensity in the short term. In the nonlinear models, the positive shock in environmental regulations reduces carbon intensity in short and long run. Conversely, the positive shock in energy innovations reduces carbon intensity in the long run. Negative shocks in energy regulations and innovations have a statistically insignificant impact on carbon intensity in both the short and long term. In addition, per capita income and financial development only increase carbon intensity in the long run, while human capital reduces carbon intensity in the short run. These findings advocate for implementing heavy energy taxes on firms and industries that rely heavily on fossil fuels. Increasing investment in green energy innovations is the need of the hour in lowering carbon intensity in China.
      Citation: Energy & Environment
      PubDate: 2023-07-20T05:19:06Z
      DOI: 10.1177/0958305X231188745
       
  • Development of a photocatalytic method to convert CO2 into formic acid
           with fulvic acid complex

    • Free pre-print version: Loading...

      Authors: Köntös Zoltán
      Abstract: Energy & Environment, Ahead of Print.
      Increasing levels of carbon dioxide (CO2) due to natural and anthropogenic activities have led to alarming concerns of global warming. Photocatalytic conversion of CO2 to formic acid (FA) is speculated to provide a long-term solution for CO2 remediation and the production of green energy. Herein, we report the conversion method of CO2 to FA using water, light, and organic RRR catalyst at room temperature in a photocatalytic RK-X reactor. A total of seven experiments were conducted and observed to study the effectiveness of the reaction. The experiments achieved 8.47 g/L of FA concentrate. This photocatalytic conversion of CO2 into FA represents a promising approach to addressing global warming and providing carbon negative hydrogen as an answer to fossil fuel problems. Another possible application of this study is to provide sustainable energy on Mars, where water, light, and CO2 are all available for the reaction.
      Citation: Energy & Environment
      PubDate: 2023-07-17T03:35:00Z
      DOI: 10.1177/0958305X231187035
       
  • The short- and long-run causal correlation between green finance,
           renewable energy consumption, and economic growth

    • Free pre-print version: Loading...

      Authors: Amanullah Bughio, Ying Teng, Raza Ali Tunio, Ghansham Das, Rizwan Jamali, Rashid Usman Shar
      Abstract: Energy & Environment, Ahead of Print.
      We propose a vector error correction model to explore the causal correlation between green finance, economic growth, and renewable energy consumption from both short- and long-run perspectives to empirically evaluate the efficacy of green finance policies. Based on time-series data from 2000 to 2020, we use the unit root test method to examine time-varying trends and cointegration for time-series data. We find that renewable energy consumption has a negative relationship with emissions but green finance is positively correlated with economic growth. Green finance is the driving factor behind the increasing utilization of renewable energy in China. CO2 emissions per unit of GDP decreased by 1.077% for every 1% increase in green finance development. Although the share of renewable energy consumption increased by 1%, CO2 emissions per unit of GDP decreased by 0.55%. Therefore, green finance is significant in decreasing CO2 emissions; it has a negative impact on CO2 emissions and the renewable energy sector and must be addressed by financial policy, stability, and long-run sustainability. We categorized green finance, which refers to carbon finance innovations such as trusteeship, to improve market demand and eventually develop industries to expand the number of emission-control industries.
      Citation: Energy & Environment
      PubDate: 2023-07-12T06:10:37Z
      DOI: 10.1177/0958305X231187036
       
  • SDGs and fictional energy utopias: Gauging sustainable energy transitions
           against Ecotopia (1975) and The Ministry for the Future (2020)

    • Free pre-print version: Loading...

      Authors: Daniel Wuebben, Roman Meinhold, Giovanni Frigo
      Abstract: Energy & Environment, Ahead of Print.
      Strategic narratives about the transition to sustainable energy systems, including those influenced by the United Nations’ sustainable development goals (SDGs), frequently incorporate utopian elements. These ambitious targets encapsulate future-oriented visions and postulate implications of technological advancements; they also often underrepresent or even bypass the multifaceted nature of socioeconomic diversities, planetary constraints, and persistent energy disputes. The genre of utopian science fiction can offer a valuable heuristic to elucidate the heterogeneous and occasionally unsatisfactory projections that emerge from the SDGs. Two seminal novels—Ernest Callenbach’s Ecotopia (1975) and Kim Stanley Robinson’s The Ministry for the Future (2020)—which we classify as “fictional energy utopias” (FEUs), present incisive critiques of contemporary energy mechanisms and practices and envisage equitable, resilient, and robust renewable energy systems and socio-technical structures. Through an approach that combines narrative and discourse analyses, these literary works are juxtaposed with selected indicators of three SDGs. The ensuing study underscores the primacy of the topic of energy in policy and its concomitant narratives in fostering collective endeavors toward sustainable development. It also amplifies the pivotal interconnections between SDG 7 “Affordable and Clean Energy,” SDG 13 “Climate Action,” and SDG 16 “Peace, Justice, and Strong Institutions.” Employing FEUs to evaluate sustainability policies can substantially benefit researchers, policy architects, and public engagement coordinators by highlighting lacunae and limitations within prevailing strategic narratives and proposing potential enhancements to fortify their capacity to motivate collective action.
      Citation: Energy & Environment
      PubDate: 2023-07-12T06:10:28Z
      DOI: 10.1177/0958305X231186849
       
  • Household cooking fuel choice and associated factors in a rural and
           peri-urban community in Western Kenya

    • Free pre-print version: Loading...

      Authors: Judith N. Mangeni, Diana Menya, James Mwitari, Matt Shupler, Rachel Anderson de Cuevas, Edna Sang, Eslaba Anabwani, Noel Sutton, Emily Nix, Sara Ronzi, Dan Pope, Elisa Puzzolo, Kwaku Poku Asante
      Abstract: Energy & Environment, Ahead of Print.
      Polluting fuels such as biomass and kerosene are used for cooking by approximately 85% of the population in sub-Saharan Africa (SSA) despite the well-known associated negative health effects. Many governments across SSA are aiming to scale up the use of liquefied petroleum gas (LPG), a cleaner-burning fuel in terms of black carbon and fine particulate matter emissions, to promote public health and protect the environment by reducing deforestation. In Kenya, the government has been promoting rapid scale-up of LPG as a household fuel by zero rating it. A census survey was administered to over 2000 households in a peri-urban and rural sub-county of Uasin Gishu County to determine cooking characteristics and factors associated with the primary cooking fuel (biomass versus LPG). We found that the majority 72% (n = 1619) of the households mainly use biomass as a primary fuel (86% wood, 12% charcoal, 1.5% wood chips, and 1% kerosene) while about 28% (n = 629) use clean fuels (86.8% LPG, 12.9% biogas/solar, and 0.3% electricity). Peri-urban residents had up to 2.5 times increased odds of using LPG compared to those in the rural sub-county. Supply factors such as easy access to refills affect the number of days the LPG is used per week. Urbanization at sub-county leads to increases in use of LPG for cooking, irrespective of household-level SES. The Government is encouraged to enact policies that would increase the availability of LPG refills to rural communities hence reducing the time and transportation costs that are likely to affect access with consequent low usage.
      Citation: Energy & Environment
      PubDate: 2023-07-11T07:05:13Z
      DOI: 10.1177/0958305X231185338
       
  • Environmental effect of high-, upper, and lower middle-income economies’
           energy mix: Is there a trade-off between unemployment and environmental
           quality'

    • Free pre-print version: Loading...

      Authors: Tuğba Koyuncu Çakmak, Mustafa Kemal Beşer, Andrew Adewale Alola
      Abstract: Energy & Environment, Ahead of Print.
      The fact that scenarios of high unemployment potentially offer the opportunity for improved environmental sustainability remains a dilemma. In instances when environmental sustainability is triggered by increased unemployment, that poses a challenge in the simultaneous achievement of sustainable development goals (SDGs) 8 (decent work and economic growth) and 13 (climate action). On the basis of this concern, in this study, we examine whether a swap association exists between unemployment and environmental quality vis-à-vis the environmental Phillips curve (EPC) hypothesis for high-, upper, and lower middle-income (HUmLmI) economies (comprising both developed and developing countries) over the period 1990–2020. We used the novel dynamic autoregressive distributed lag simulation approach. From the findings, the EPC hypothesis is not valid in high-income (developed) economies in the short and long term. However, the validity of the EPC hypothesis was upheld in the upper and lower middle-income (developing) economies. This implies that the lack of decent work opportunities/high unemployment rates hampers environmental quality in high-income countries, promotes environmental quality in upper middle-income countries, and does not drive environmental quality in lower middle-income countries. In addition, economic growth and the use of fossil energy exacerbate environmental degradation. On the other hand, the consumption of renewable energy sources reduces environmental woes by −0.22, −0.54, and −1.15 in HUmLmI countries, respectively. This shows that renewable energy sources adapt to the environmental sustainability motive. These results imply that policy instruments to drive SDGs 8 and 13 in these income-categorized economies should be case specific rather than taking a unilateral policy approach.
      Citation: Energy & Environment
      PubDate: 2023-07-11T06:17:23Z
      DOI: 10.1177/0958305X231187034
       
  • Effect of government subsidies on firm innovative performance in
           China’s shale gas industry

    • Free pre-print version: Loading...

      Authors: Xiaofeng Xu, Xiangyu Chen, Yunfei Liu, Nuozhou Huang
      Abstract: Energy & Environment, Ahead of Print.
      To achieve the goals of carbon peaking by 2030 and carbon neutrality by 2060, the Chinese government must reduce fossil energy consumption, stimulate the extraction of unconventional natural gas such as shale gas, and construct a green, low-carbon cycle economic development system. This study investigates the impact of government subsidies on shale gas companies’ research and development (R&D) inputs and innovation performance from multiple perspectives, including internal and external environments and the nature of the companies. The sample consists of Chinese shale gas companies listed between 2013 and 2019. The findings were as follows. First, the investment made by shale gas firms in R&D mediates the relationship between government subsidies and firm performance in technological innovation. Second, the contribution of government subsidies to innovation performance differs in different internal and external regulatory environments. Finally, the intensity of intellectual property protection (IPP) positively moderates the direct and mediating models of government subsidies and innovation performance. Accordingly, the government should increase its contributions to the shale gas industry, improve the regulatory mechanism for donations, and strengthen the protection of intellectual property rights for the R&D of new shale gas technologies.
      Citation: Energy & Environment
      PubDate: 2023-07-07T06:10:48Z
      DOI: 10.1177/0958305X231185337
       
  • The role of acidity in fatty acid esterification with heterogeneous silica
           catalysts impregnated with Zr and sulfates

    • Free pre-print version: Loading...

      Authors: João Paulo da Costa Evangelista, Aruzza Mabel de Morais Araújo, Amanda Duarte Gondim, Antonio Souza de Araujo
      Abstract: Energy & Environment, Ahead of Print.
      The esterification reaction of oleic acid using heterogeneous catalysts can be a promising alternative for the production of biodiesel. This study proposed to obtain biodiesel from the esterification of oleic acid with the Zr-SBA-15 and SO42−/Zr-SBA-15 catalysts obtained by inserting Zr and subsequent sulphation of SBA-15 synthesized by the hydrothermal method. Zr-SBA-15 and SO42−/Zr-SBA-15 catalysts were initially synthesized by the wet impregnation method, followed by the sulphation process. The characterization of the catalysts was performed by: X-ray diffraction, thermogravimetric analysis, Fourier transform infrared spectroscopy, nitrogen adsorption/desorption, scanning electron microscopy, energy-dispersive X-ray spectroscopy and acidity test, with the aim of identifying the structure, composition and verification of the presence of acidic sites. The characterization results indicated that SBA-15 preserved the ordered hexagonal structure, after the incorporation of Zr, with the presence of nanoparticles of this metal dispersed on the surface and inside the microporous and mesoporous channels of the Zr-SBA-15 catalyst. After sulphation, the amount of acid sites increased and the ordered structure was maintained. For the Zr-SBA-15 and SO42−/Zr-SBA-15 catalysts, there was the formation of tetragonal and monoclinic structures of ZrO2. The catalytic activity was evaluated by the esterification reaction of oleic acid via the methyl route. Biodiesel obtained with SO42−/Zr-SBA-15 presented physico-chemical properties within the standards specified by ANP Resolution N° 798/2019 and a better yield of 80.7%. SBA-15 did not show catalytic activity for the oleic acid esterification reaction under the reaction conditions of this study.
      Citation: Energy & Environment
      PubDate: 2023-07-05T05:25:43Z
      DOI: 10.1177/0958305X231183684
       
  • Does renewable energy consumption improve carbon efficiency' Evidence
           from 116 countries

    • Free pre-print version: Loading...

      Authors: Qiang Wang, Chen Zhang, Rongrong Li
      Abstract: Energy & Environment, Ahead of Print.
      A more comprehensive understanding of the impact of renewable energy on carbon efficiency could serve to achieve the win-win goal of carbon reduction and economic growth. This paper develops a data envelopment analysis model to measure carbon efficiency, analyses the non-linear, mediating and heterogeneous effects of renewable energy on carbon efficiency using panel data for 116 countries over the period 2005 to 2020. The results show that: (i) there is a certain difference in carbon efficiency among countries in different income groups. Specifically, the carbon efficiency of low-income and low-middle-income countries is generally in a low-efficiency state. (ii) There is an intermediary effect between renewable energy and carbon efficiency, which means that carbon efficiency can be indirectly improved by promoting technological innovation. (3) With the increase of income level, the positive effect of renewable energy on carbon efficiency is more effective. Finally, targeted policy recommendations are proposed.
      Citation: Energy & Environment
      PubDate: 2023-07-04T10:26:04Z
      DOI: 10.1177/0958305X231180692
       
  • Does improving economic efficiency reduce ecological footprint' The role
           of financial development, renewable energy, and industrialization

    • Free pre-print version: Loading...

      Authors: Qiang Wang, Yunfei Ge, Rongrong Li
      Abstract: Energy & Environment, Ahead of Print.
      With the ongoing expansion of global economic activities, environmental degradation has emerged as a progressively severe challenge. The Sustainable Development Goals are significantly impacted by this issue, making it essential to establish a symbiotic relationship between economic development and environmental protection. In this context, an investigation into the efforts of the OECD to promote ecological protection assumes a critical role, given its prominent position as a leading economic cooperation organization. Therefore, we examine the relationship between economic efficiency, financial development, renewable energy, industrialization, and ecological footprint in 36 OECD countries from 1995 to 2018. An empirical analysis employing the fully modified Ordinary Least Square technique reveals an inverted U-shaped curve relationship between economic efficiency and ecological footprint, supporting the environmental Kuznets curve (EKC) hypothesis in OECD countries. Moreover, the research reveals that financial development and industrialization exacerbate environmental damage, while the advancement of renewable energy plays a pivotal role in controlling the ecological footprint and fostering environmental conservation. Furthermore, by introducing interaction terms, we find that financial development and renewable energy weaken the positive effect of economic efficiency on the ecological footprint, while industrialization reinforces it. Finally, the findings of the Dumitrescu-Hurlin panel causality analysis show that the causal relationship between all three variables, namely economic efficiency, financial development and renewable energy consumption, and ecological footprint is bidirectional. In contrast, the causal relationship between the degree of industrialization and ecological footprint is unidirectional. These empirical findings provide practical policy recommendations for fostering sustainable development in OECD countries and offers valuable insights and lessons that can inform the formulation of relevant policies in other countries and regions. Overall, this study not only innovatively enriches the theoretical content of the EKC hypothesis from the perspective of the relationship between economic efficiency and ecological footprint, but also has important practical guidance significance.
      Citation: Energy & Environment
      PubDate: 2023-07-04T07:22:09Z
      DOI: 10.1177/0958305X231183914
       
  • Fossil fuel and renewable energy allocation policy toward carbon
           neutrality under climate change

    • Free pre-print version: Loading...

      Authors: Yen Hsun Chuang, Yu-Chung Tsao, Wei Yea Chen
      Abstract: Energy & Environment, Ahead of Print.
      Climate change is increasing owing to the frequency and intensity of extreme weather events caused by greenhouse gas (GHG) emissions mainly due to anthropogenic activities. In recent years, many countries have set goals to decrease GHG emissions and achieve carbon neutrality while maintaining their economic situation. The purpose of this study is to determine the optimal policy for fossil fuels and renewable energy allocation, which could decrease GHG emissions and maintain the economic situation in Taiwan until 2030. The results show that renewable energy rapidly increased to 5.8 billion kWh, and natural gas increased to 54 million m3 when energy consumption was maintained for the values in 2020. Greenhouse gas emissions in 2030 are expected to decrease to 20% of the value in 2005. Finally, the Taiwanese government should consider the allocation of fossil fuels and renewable energy with linear growth in energy consumption and achieve the goals of carbon emission reduction.
      Citation: Energy & Environment
      PubDate: 2023-06-30T05:24:51Z
      DOI: 10.1177/0958305X231185911
       
  • Impact of energy policies on residential low-carbon behaviors by
           considering Place attachment: Evidence from China

    • Free pre-print version: Loading...

      Authors: Alin Lin, Jiankun Lou, Erli Zeng, Dongze Li, Liqun Zheng
      Abstract: Energy & Environment, Ahead of Print.
      Human activities are the primary source of energy consumption and CO2 emissions. Adopting low-carbon behaviors (LCBs) can effectively reduce carbon emissions, which in turn helps alleviate environmental problems. Previous research shows that low-carbon policies can promote LCBs, while an extensive understanding of the effects of multi-types of low-carbon policies on various LCBs needs to be verified. Analyses on influencing factors regarding LCBs are dominated before, and place attachment and low-carbon behavioral intention as the influencing factors of LCBs, their relationship with low-carbon policy and LCBs needs to be clarified. By taking a questionnaire survey of residents of Hangzhou, China, this study presents a conceptual framework capable of analyzing the relationship between three types of low-carbon policies, including information policy, economic policy, and administrative regulations, and two types of LCBs, including low-carbon consumption (LCCB) and travel (LCTB) behavior, considering the mediation effect of place attachment and low-carbon behavioral intention in a single structural equation model. The results illustrate that administrative regulations and information policy have a direct positive impact on LCCB, and information policy has the most significant influence. Economic policy and administrative regulations directly impact LCTB, and administrative regulations have the most significant influence. The influence of administrative regulations on LCTB is more excellent than on LCCB. Information policy indirectly affects two types of LCBs through the chain mediation effect of place attachment and low-carbon behavioral intention. The results should be helpful to low-carbon policymakers seeking to promote LCBs to consider the importance of place attachment and various low-carbon policies. Moreover, they enrich our understanding of the influencing mechanism of LCBs.
      Citation: Energy & Environment
      PubDate: 2023-06-30T05:23:12Z
      DOI: 10.1177/0958305X231183683
       
  • Thermal energy analysis of multi-walled carbon nanotubes-Fe3O4/H2O flow
           over non-uniformed surface with Darcy–Forchheimer model

    • Free pre-print version: Loading...

      Authors: Chibani Lotfi, Fares Redouane, Chikr Djaoutsi Zineb, Wasim Jamshed, Mohamed R. Eid, Rabha W. Ibrahim, Siti Suzilliana Putri Mohamed Isa, Haifa Alqahtani, Syed M. Hussain
      Abstract: Energy & Environment, Ahead of Print.
      In this study, a new cavity shape was filled with an extension multi-walled carbon nanotubes-Fe2O3/H2O nanofluid under a constant magnetic field. The Darcy–Forchheimer model is used to account for the inertial impact of advection in the porous layer while maintaining the laminar and incompressible nature of the nanofluid flow. The dimensionless version of the governing equations is used to describe the issue and the finite element approach is used to resolve it. Through this complex geometry, various thermophysical factors such as Rayleigh number [math], Hartmann number [math], and nanoparticle concentration are considered [math]. The porous layer's numerous characteristics are also explored. For example, its porosity [math] and Darcy number [math], which indicates the permeability of the porous medium. The content of the hybrid nanofluid is considered to be Newtonian, stable, incompressible, and following a constant Prandtl number for the base fluid [math]. Calculations are made according to the finite element method. The results of this work are presented in terms of rheology, isotherms, entropy generation, and mean Nusselt numbers. They have demonstrated that increasing the Rayleigh and Darcy numbers improve heat transfer in the enclosure.
      Citation: Energy & Environment
      PubDate: 2023-06-27T06:03:04Z
      DOI: 10.1177/0958305X231183689
       
  • The dynamic relationship between military expenditure, environmental
           pollution, and economic growth in G7 countries: A wavelet analysis
           approach

    • Free pre-print version: Loading...

      Authors: Cheng-Feng Wu, Shian-Chang Huang, Tsung-Pao Wu, Tsangyao Chang, Meng-Chen Lin
      Abstract: Energy & Environment, Ahead of Print.
      This study applies wavelet analysis to examine the interplay between treadmill of destruction theory and environmental Kuznets curve theory in G7 countries over the period 1970–2018. The results indicate that, in the short term, co-movement and causality exist between military expenditure and environmental pollution at different frequencies and times. Positive causality runs from military expenditure to environmental pollution in Italy, the United Kingdom, the United States, Canada, and Germany in different sub-periods. After adding economic growth as a control variable, positive causality runs from military expenditure to environmental pollution in Italy, the United Kingdom, Japan, the United States, Canada, and France in different sub-periods. Decision-makers can refer to the empirical results to consider the direction of policy and managerial implications at macroeconomic and microeconomic levels.
      Citation: Energy & Environment
      PubDate: 2023-06-26T07:04:45Z
      DOI: 10.1177/0958305X231159437
       
  • Decarbonization through sustainable energy technologies: Asymmetric
           evidence from 20 most innovative nations across the globe

    • Free pre-print version: Loading...

      Authors: Narasingha Das, Md. Emran Hossain, Pinki Bera, Partha Gangopadhyay, Javier Cifuentes-Faura, Ranjan Aneja, Mustafa Kamal
      Abstract: Energy & Environment, Ahead of Print.
      Since the discharge of carbon is one of the main causes for ongoing global warming issue and change in climate, most nations have committed to decarbonizing their economies at the COP26 summit. Thus, this investigation aims to explore the consequences of innovations in sustainable energy technologies on decarbonization in the 20 most innovative nations across the globe. In assessing the cause-and-effect relationship, we have used “Panel Non-linear Autoregressive Distributed Lag (P-NARDL)” technique. The findings demonstrated that the variables have a lasting relationship. The positive asymmetric shock in the innovations in sustainable energy technologies has a positive influence on the decarbonization of these nations, while the negative asymmetric effect is insignificant. According to the findings, clean energy negatively consequence on carbonization whereas growth in economy is favorably and considerably connected with it. The findings demonstrate that there is bidirectional causation between all variables under investigation, with the exception of the unidirectional causality flows from the usage of sustainable energy technology and emissions of CO2. In a global context, this research suggests that government should identify the roles of new sustainable energy technologies by reforming patenting regulations to rectify the environmental damages.
      Citation: Energy & Environment
      PubDate: 2023-06-20T06:55:50Z
      DOI: 10.1177/0958305X231183921
       
  • Could carbon emissions trading scheme improve total factor carbon
           emissions performance' Evidence from cities of China

    • Free pre-print version: Loading...

      Authors: Lu Zheng, Yuhuan Zhao, Jingzhi Zhu, Zhiling Qian, Ziyi Zhao, Shunan Fan
      Abstract: Energy & Environment, Ahead of Print.
      Carbon emissions trading scheme (ETS) is a market-based measure to reduce carbon emissions. Evaluating the impact of carbon ETS on total factor carbon emissions performance (TFCEP) is of great significance to carbon emissions reduction and high-quality economic development in China. However, whether China's carbon ETS can improve TFCEP remains to be answered. Using the difference-in-differences model, super-efficient Slacks-based measure method and Malmquist–Luenberger index, this study evaluates the impact of carbon ETS on TFCEP and decomposition items of TFCEP based on the data during 2003–2017. Then, the heterogeneity effect of marketization and environmental enforcement are analyzed. The influencing mechanisms are tested from the perspective of industrial structure and green innovation and the moderating effect of carbon price and trading volume is also examined. The results show that carbon ETS could significantly improve TFCEP, and mainly improve the two decomposition items of efficiency change and scale technological change. Heterogeneity analyses show that the positive impact is more significant in cities with high levels of marketization and stricter environmental enforcement. Mechanism analyses suggest that carbon ETS could improve TFCEP by promoting industrial structure and green innovation. In particular, carbon prices and trading volume are confirmed to enhance the role of carbon ETS in promoting TFCEP. The results provide a new reference for Chinese government to use the market-based tool to reduce carbon emissions while maintaining economic growth.
      Citation: Energy & Environment
      PubDate: 2023-06-20T06:55:10Z
      DOI: 10.1177/0958305X231183686
       
  • Experimental investigation and analysis of proposed hybrid vertical axis
           wind turbine design

    • Free pre-print version: Loading...

      Authors: Muhammad Ahmad, Aamer Shahzad, Syed Irtiza Ali Shah
      Abstract: Energy & Environment, Ahead of Print.
      In this research, an experimental and computational analysis of a novel hybrid vertical axis wind turbine (VAWT) arrangement has been performed. We suggest an innovative VAWT design that has a high power coefficient and self-starting capability. The inner side of the proposed hybrid system has been integrated with the H-rotor turbine with cambered blades, which demonstrates strong self-starting capabilities at various azimuths. Three NACA0018 airfoil blades are mounted on the outside of the proposed hybrid wind turbine, while three DU 06-W-200 airfoil blades are installed on the inside. Based on a similarity analysis, a scaled-down model was developed, and performance characteristics such as the output power, power coefficient ([math]), dynamic torque coefficient ([math]), and static torque coefficient ([math]) were determined. An existing hybrid VAWT and a typical H-rotor Darrieus design were also examined for comparison. The highest [math] for the proposed hybrid design was found to be 0.486 at a tip speed ratio (TSR) of 3, while the H-rotor Darrieus’ maximum value was 0.42 at a TSR of 2.62 and the existing hybrid VAWT’s value was 0.41 at a TSR of 2.5. Positive [math] values at all azimuths demonstrate that the proposed hybrid wind turbine can start entirely on its own. In comparison to the existing H-rotor and hybrid VAWT, this novel hybrid system has shown enhanced performance parameters ([math], [math], [math], output power) by around 11%–13% over a wide range of wind speeds.
      Citation: Energy & Environment
      PubDate: 2023-06-20T06:53:31Z
      DOI: 10.1177/0958305X231181675
       
  • The impact of trade openness, export concentration and economic complexity
           on energy demand among G7 countries

    • Free pre-print version: Loading...

      Authors: Muhlis Can, Daniel Balsalobre-Lorente, Festus Fatai Adedoyin, Mehmet Mercan
      Abstract: Energy & Environment, Ahead of Print.
      This research attempts to explore the scale (trade openness), composition (export concentration) and technique effect (economic complexity) of international trade on energy use in the sample of G7 nations over the period 1970 and 2020 separately. To do that, we build up three empirical models based on the regression on population, affluence and technology approach. The analysis outcomes indicated a positive long-run link between per capita income, urbanization, trade openness, export concentration, economic complexity and energy use across the three models. The outcomes obtained from long-run estimations provide evidence that economic complexity and export concentration decreases energy consumption. Besides, empirical findings show that trade openness boosts energy use. Based on the detailed empirical research, the direction for the policy is that they should harness more strength on energy conservation by increasing the composition and technical effects of international trade. They should also focus on improving the countries’ economic freedom (trade openness) while maintaining energy consumption at a lower rate.
      Citation: Energy & Environment
      PubDate: 2023-06-19T12:45:39Z
      DOI: 10.1177/0958305X231177740
       
  • Reinvestigate the significance of STRIPAT and extended STRIPAT: An
           inclusion of renewable energy and trade for gulf council countries

    • Free pre-print version: Loading...

      Authors: Yiniu Cui, Ghazala Aziz, Suleman Sarwar, Rida Waheed, Zouheir Mighri, Umer Shahzad
      Abstract: Energy & Environment, Ahead of Print.
      The rapid growth experienced by the Gulf Council countries (Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates) has placed significant strain on their ecological footprint due to extensive energy consumption. Consequently, it becomes necessary to examine the factors contributing to the high ecological footprint and explore potential solutions for its reduction. This study aims to analyze the key factors influencing the ecological footprint in the GCC countries from 1995 to 2020. Through an extensive review of existing literature, it is evident that economic growth, urbanization, and trade can disturb ecological balance, while environmental technology and renewable energy offer potential remedies for environmental challenges. Thus, these variables have been selected as independent factors for investigation. The results obtained from advanced panel techniques emphasize the significance of adopting environmental technologies and increasing the utilization of renewable energy sources in order to decrease the ecological footprint. Conversely, economic growth, urbanization, and trade are identified as crucial drivers of environmental degradation. Considering that the GCC countries heavily rely on oil and petroleum exports, as well as non-renewable energy sources for their economic activities, the positive relationship between economic growth and trade is to be expected. The results propose multifold recommendations: (i) providing incentives for renewable energy and (ii) prioritizing the implementation of clean technology over traditional technologies.
      Citation: Energy & Environment
      PubDate: 2023-06-19T02:21:18Z
      DOI: 10.1177/0958305X231181671
       
  • Decoupling and driving analysis of carbon emissions in China: Evidence
           from five national-level urban agglomerations

    • Free pre-print version: Loading...

      Authors: Jie Wu, Ruizeng Zhao, Jiasen Sun
      Abstract: Energy & Environment, Ahead of Print.
      Urban agglomerations are significant contributors of greenhouse gases, and their transition towards low-carbon development will aid in achieving China's carbon neutrality objective. This study provides a decoupling index that assesses the level of separation between economic development and carbon emissions in five national urban agglomerations. In addition, the double fixed-effect STIRPAT and mediation effect models are utilized to test the impact factors and potential mechanisms of carbon emission efficiency (CEE). Results show that urban agglomerations are in a state of weak decoupling, yet achieving strong decoupling poses a challenge. The CEE is significantly varied across different regions and remains inefficient overall. The urban agglomeration with the highest CEE is the Pearl River Delta, with an average of 0.70. Moreover, the industrial structure represents a significant mediating effect in the relationship between economic growth and CEE. Technological innovation, opening up level, foreign direct investment, fiscal intervention and energy intensity negatively impact CEE. Finally, this paper proposes several recommendations.
      Citation: Energy & Environment
      PubDate: 2023-06-16T12:29:56Z
      DOI: 10.1177/0958305X231181674
       
  • Power battery third-party reverse logistics provider selection: Fuzzy
           evidential reasoning

    • Free pre-print version: Loading...

      Authors: Chaoyu Zheng, Benhong Peng, Xuan Zhao, Guo Wei, Anxia Wan, Mu Yue
      Abstract: Energy & Environment, Ahead of Print.
      Massive power batteries (PBs) are crucial to new energy vehicle enterprises. Due to Extended Producer Responsibility (EPR), the third-party reverse logistics provider selection(3PRLPs) process has become an important decision to save cost. This paper uses an innovative combination of qualitative analysis and quantitative data integration to address the PB 3PRLPs problem by using Failure Modes and Effects Analysis (FMEA) and fuzzy evidential reasoning (FER). Firstly, the possible failures and potential effects in the PB 3PRLPs are identified by the FMEA to determine criteria and importance grades. Subsequently, AHP is utilized to calculate the criteria weight based on the importance of grades. FER is creatively applied to address the intersection of assessment grades and allocate the belief degree (BD) of the interaction to fuse heterogeneous data. Additionally, sensitivity analysis is done to look into the stability of the sequencing. Compared with other methods, the proposed method not only solves the subjectivity of AHP weighting but also manipulates probabilistic and fuzzy uncertainties for multi-criteria decision-making (MCDM). This method is useful in quantitatively analyzing the 3PRLPs problem and in providing auxiliary decision support for enterprises.
      Citation: Energy & Environment
      PubDate: 2023-06-16T06:44:41Z
      DOI: 10.1177/0958305X231179905
       
  • Exploring aggregated and disaggregated environmental impacts of biofuels:
           Do affluence, green technological innovation and green finance matter for
           top biofuel-abundant economies'

    • Free pre-print version: Loading...

      Authors: Yuan Qi, Ridwan Lanre Ibrahim, Mamdouh Abdulaziz Saleh Al-Faryan
      Abstract: Energy & Environment, Ahead of Print.
      The unceasing ravaging effects of global warming have made the world rethink the choice of energy consumption, with policymakers pushing for an unconditional transition to sustainable energy believed to be eco-friendly. Although studies have emerged with a view to unravel the path to global environmental sustainability, the paths of biofuels remain scantly investigated. Hence, this study presented the maiden empirical support for the aggregated and disaggregated impacts of biofuels on environmental sustainability in five top biofuel-abundant economies (Brazil, China, Germany, Indonesia, and the United States) from 1995 to 2019. The papers add to the existing knowledge by considering the roles of green technological innovation (proxied by environmental-related technologies), affluence, green finance, population and coal in a novel STIRPAT framework. The stated model is empirically verified based on recent techniques encompassing CS-ARDL, CCEMG, AMG, and MMQR. The empirical results uncover that both effects of biofuels substantially moderate carbon emissions, thus paving the way for environmental sustainability. Besides, environmental-related technologies and green finance significantly mitigate carbon emissions, whereas affluence, population, and coal positively drive carbon emissions. The empirical regularity of the main estimators is confirmed based on the feedback from MMQR which uphold the validity of biofuels in mitigating carbon emissions at different quantiles. The outcomes of the causality analysis uncover unidirectional, bidirectional and non-causal nexuses. Policy insights that promote sustainable exploration of biofuels for achieving a carbon-neutral environment are exposited following the findings.
      Citation: Energy & Environment
      PubDate: 2023-06-16T06:12:52Z
      DOI: 10.1177/0958305X231181673
       
  • Exploring the dynamic nexus between urbanization, energy efficiency,
           renewable energies, economic growth, with ecological footprint: A panel
           cross-sectional autoregressive distributed lag evidence along Middle East
           and North Africa countries

    • Free pre-print version: Loading...

      Authors: Saeid Satari Yuzbashkandi, Amir Mehrjo, Mohammad Hadi Eskandari Nasab
      Abstract: Energy & Environment, Ahead of Print.
      The release of greenhouse gases (GHG) is acknowledged as a serious hazard that fuels climate change (CC). The Middle East and North Africa (MENA) countries face particular environmental challenges due to its contribution to carbon dioxide emissions (CO2). There is, however, a scarcity of literature about the region's environmental challenges, despite its vulnerability to the consequences of CC. Therefore, the purpose of this research is to look at various solutions to the CC issue in the MENA area, that is, energy efficiency (EE), economic development, urbanization, fossil fuel (FF) usage, and renewable energies (RE). Further, the study seeks to evaluate CO2 emissions in the region by establishing a RE index. By applying the fresh technique known as the cross-sectional autoregressive distributed lag estimator to panel data for 18 MENA countries from 1990 to 2019, this study quantifies the impact of these variables on CO2 emissions. The findings reveal that the explanatory variables’ significance varies across regional panel clusters, with economic growth having a significantly positive effect on CO2 emissions in the long run. Moreover, the study rejects the Environmental Kuznets Curve hypothesis validation and highlights the importance of EE in boosting environmental quality in the long and short runs. Additionally, the outcomes suggest that RE contributes to reducing CO2 emissions, while the urbanization level and FF consumption adopted by MENA countries do not improve their environment. Thus, mitigating the negative consequences of CC in the MENA area necessitates encouraging EE and lobbying for a shift from FF to RE sources.
      Citation: Energy & Environment
      PubDate: 2023-06-14T06:21:12Z
      DOI: 10.1177/0958305X231181672
       
  • Single or combined tax' A comparative study of the effects of resource and
           carbon taxes under China's peak emission target

    • Free pre-print version: Loading...

      Authors: Tingting Liu, Weijiang Liu, Min Liu, Yangyang Li
      Abstract: Energy & Environment, Ahead of Print.
      Resource and carbon tax should be taken seriously as typical price control policies to address the dilemma between economic development and carbon emissions in developing countries. Therefore, based on China, we construct a dynamic CGE model to evaluate the carbon emission reduction and economic effects of a single tax policy (resource tax or carbon tax) versus their combination. The simulation results demonstrate that the carbon tax policy is superior to the resource tax-increasing policy under a single tax policy. Specifically, it is hard to meet the autonomous national contribution target of peaking carbon by 2030 only by raising the resource tax, and the economic loss is relatively heavy. The setting of the initial carbon tax will affect the carbon peak time and total carbon emissions. When the initial carbon tax is 25 yuan/tonne, carbon emissions will peak in 2029. A combined tax policy is preferable to a single carbon tax policy. The combination of gradually increasing the carbon tax rate and lowering the resource tax rate can effectively reduce economic losses, achieve a carbon peak and promote the joint development of the environment and economy.
      Citation: Energy & Environment
      PubDate: 2023-06-13T05:30:46Z
      DOI: 10.1177/0958305X231179907
       
  • The role of Marxist ecological view on environmental protection in China

    • Free pre-print version: Loading...

      Authors: Guangbin Liu, Wei Nie
      Abstract: Energy & Environment, Ahead of Print.
      Ecological problems and environmental problems have become more and more frequent, constantly sounding the alarm for people, seriously threatening the safety of people's lives and even survival. The construction of ecological culture has become an essential part of modern society and a vital wealth. Therefore, it is urgent to organize the study of the relevant concepts and theories of ecological construction, explain and solve the problems encountered in practice, and guide people to make scientific judgments. The main purpose of this article is to study the structure of ecological civilization from the perspective of Marxist ecological view. By analyzing ecological and environmental issues, following the principles of ecological civilization construction, adopting appropriate means, and relying on an indicator system for evaluation. This article constructs a comprehensive indicator system for the level of ecological environment protection, and analyzes the global spatial autocorrelation and local spatial autocorrelation of the comprehensive indicators. Research shows that urbanization construction and energy efficiency protection are still in a moderate imbalance state. Due to the lag of urbanization construction in the process of ecological environment protection, the two are in a low coordination state. How to combine Marxist ecological views with specific practices in China and effectively promote the process of ecological civilization construction in China still requires in-depth consideration.
      Citation: Energy & Environment
      PubDate: 2023-06-13T05:29:47Z
      DOI: 10.1177/0958305X231177738
       
  • Does institutional quality really matter for environmental quality'

    • Free pre-print version: Loading...

      Authors: Usenobong Akpan, Ukpai Kama
      Abstract: Energy & Environment, Ahead of Print.
      In this paper, we introduce a new innovation into the institutions and environmental degradation nexus debate, by placing emphasis on institutional quality (good or poor) in the modelling framework, a clear departure from the existing literature that makes no such distinctions when using institutions to investigate the nexus. Using a panel of 163 countries, and applying a system generalised method of moment technique, we obtained robust evidence that the quality of institutions really matters in protecting the environment. In particular, we found that countries with strong institutions could significantly reduce environmental pollution by limiting fossil fuel consumption, while those with poor institutions would worsen the situation. Countries with strong institutions were also found to be able to curtail environmental problems in densely populated cities than those with weak institutions. The policy implications arising from the study are clear – strengthening the quality of domestic institutions that relate to environmental policy formulation and regulation, is critical to delivering a cleaner environment.
      Citation: Energy & Environment
      PubDate: 2023-06-12T09:39:35Z
      DOI: 10.1177/0958305X231180702
       
  • Dynamic nexus between non-renewable energy consumption, economic growth
           and CO2 emission: A comparison analysis between major emitters

    • Free pre-print version: Loading...

      Authors: Zongsen Zou, Yu Zhang, Xindi Liu, Xin Li, Meng Wang
      Abstract: Energy & Environment, Ahead of Print.
      Non-renewable energy fosters economic growth, whilst simultaneously it serves as the primary source of carbon dioxide (CO2) emissions. Using data from the world's three major carbon emitters over the period 1980–2020, this paper adopts the non-linear autoregressive distributed lag (NARDL) approach to explore the dynamic nexus between energy consumption, economic growth and CO2 emissions. The results reveal that energy consumption matters for economic growth. From a short-term perspective, an increase in oil consumption positively impacts economic growth in the United States and India, whereas a negative shock solely affects China's economic growth. Regarding coal consumption, a positive shock only affects the US's economic growth, while China and India are more likely to be affected by a negative consumption shock. In the long run, the nexus between oil consumption and economic growth exhibits a similar asymmetric pattern in China and the United States. Concerning the effect of coal consumption on economic growth, only negative shocks count for China and positive shocks for the United States. The findings also identify various patterns of energy consumption on CO2 emissions. An increase in oil consumption, whether from a short- or long-run perspective, increases CO2 emissions in all three countries, while a decrease in oil consumption only mitigates CO2 emissions in China and the United States. There are more complicated patterns to the role of coal consumption in CO2 emissions. The results vary significantly from country to country; however, energy consumption has generally promoted economic growth as well as resulted in environmental issues that cannot be disregarded.
      Citation: Energy & Environment
      PubDate: 2023-06-12T09:38:25Z
      DOI: 10.1177/0958305X231180700
       
  • Does intellectual property protection improve energy efficiency' Evidence
           from the impact of intellectual property income on energy intensity

    • Free pre-print version: Loading...

      Authors: Qiang Wang, Xiaoli Yang, Rongrong Li
      Abstract: Energy & Environment, Ahead of Print.
      This work aims to explore the impact of intellectual property income (a guarantee for promoting technological advance) on energy efficiency (indicating the technological advance) considering the mediation role of trade openness. To this end, this article uses the available data of 50 countries from 2000 to 2019 to study the influence of intellectual property income and trade openness. The Fully Modified Ordinary Least Square and Dynamic Ordinary Least Square methods are applied in this article to study the long-term relationship between different variables. The empirical results show that there is a mediation effect between intellectual property income and energy intensity. In other words, intellectual property income can not only directly affect energy intensity, but also indirectly affect energy intensity through trade openness. Fully considering the impact of regional heterogeneity, the countries are divided into high-income (HI) countries and middle-income (MI) countries. The results indicate there are noticeable regional differences in the impact of intellectual property income on energy intensity via the mediation effect of trade openness. The improvement of intellectual property income and trade openness benefits the HI countries most, but not for MI countries. Targeted policy implications are proposed to enable a reduction in energy intensity for countries at different income levels.
      Citation: Energy & Environment
      PubDate: 2023-06-12T09:37:16Z
      DOI: 10.1177/0958305X231180694
       
  • Co-evolution of regional integration and green innovation under two-layer
           network

    • Free pre-print version: Loading...

      Authors: Xianjia Wang, Can Wang, Linzhao Xue
      Abstract: Energy & Environment, Ahead of Print.
      With global low-carbon development, green innovation has becoming a key factor for countries to obtain and maintain core competitive advantages. However, the division of scientific research resources often fails to meet the requirements of economic development. Therefore, regional integration cooperation has become an inevitable choice for innovation and development. However, the effect of the impact, direction, and interaction of regional integration policies on green innovation decision-making remains uncertain. To study the synergistic development mechanism between the two, this study constructs a two-layer network model that includes the decision and influence layers and uses a graph neural network model to map the relationship between the two-layer networks. With the help of opinion dynamics model and public goods game model, we draw the following conclusions. (1) Limited communication between regions can encourage all parties to adopt active green innovation strategies. However, excessive communication can lead to disunity of opinions among all parties, which may not be conducive to green innovation and result in an increase in free-rider behavior. (2) Regional integration development can effectively prompt all parties to choose active green innovation strategies. (3) Increasing the breadth of regional integration cooperation is more effective in promoting the active participation of all parties in green innovation, compared to increasing the depth of regional integration cooperation. This study provides theoretical support for decision-making in regional integration and green innovation development.
      Citation: Energy & Environment
      PubDate: 2023-06-08T07:12:19Z
      DOI: 10.1177/0958305X231177730
       
  • Incorporating the best sizing and a new energy management approach into
           the fuel cell hybrid electric vehicle design

    • Free pre-print version: Loading...

      Authors: Djouahi Abdeldjalil, Bekhir Negrou, Touggui Youssef, Mohamed Mahmoud Samy
      Abstract: Energy & Environment, Ahead of Print.
      Under the banner of sustainable transportation, fuel cell hybrid electric vehicles (FC-HEVs) have become a matter of fascination in today's ever-growing need to save fossil fuels and reduce greenhouse gas emissions, addressing the 3Es challenges (efficiency, economy, and environment). However, one of the most pressing issues at the moment is determining how to incorporate the optimal sizing and energy management strategy (EMS) into FC-HEVs. In this regard, this article presents an integrated approach for optimal sizing as well as a new energy strategy for the design of FC-HEVs. To minimize the decision variables, including operating cost, fuel consumption, and component weight, an in-house optimization MATLAB code with a Multi-Objective Particle Swarm Optimization algorithm was developed. Four energy cases were tested under ARTEMIS and NEDC driving cycles for simulation, and their influence on the key decision variables was also investigated. The results show that using a battery pack with a supercapacitor reduces fuel consumption by 19% and 30.3% in both driving cycles, while decreasing the maximum output power of the fuel cell. It should be noted that hybrid energy sources have the potential to improve vehicle performance.
      Citation: Energy & Environment
      PubDate: 2023-06-08T05:48:48Z
      DOI: 10.1177/0958305X231177743
       
  • Eco-label knowledge versus environmental concern toward consumer's
           switching intentions for electric vehicles: A roadmap toward green
           innovation and environmental sustainability

    • Free pre-print version: Loading...

      Authors: Wanli Fang, Yongrong Xin, Zhenhua Zhang
      Abstract: Energy & Environment, Ahead of Print.
      The Chinese authorities firmly encourage the use of electric cars to decrease global pollution and fossil fuel consumption (electric vehicles). Nevertheless, research aimed at determining customers’ switching intentions toward electric vehicles and pro-environmental behavior are scarce in the country. The purpose of this study is to fill the knowledge gap by scrutinizing the linkage among general environmental knowledge, environmental concern, eco-label knowledge, eco-label attitude (ATT), switching intentions(SIN), and pro-environmental behavior that might affect customers’ SIN and PEB in the Chinese context. The present research has additionally improved the theoretical foundation of the Theory of Planned Behavior by adding three new aspects in along with the ongoing customers’ motive elements (eco-label knowledge, general environmental knowledge, and ATT). In a survey, 549 electric vehicle users in China were polled and their data were analyzed. The structural equation modeling method is used to assess theories that have been put forth. According to empirical evidence, general environmental knowledge, environmental concern, and eco-label knowledge have a favorable and substantial impact on ATT. In a similar vein, ATT has a positive impact on consumers’ SIN and PEB. The research adds to the field of study on renewable buying behavior and offers crucial and practical future paths for researchers and professionals.
      Citation: Energy & Environment
      PubDate: 2023-06-08T05:47:48Z
      DOI: 10.1177/0958305X231177735
       
  • Environmental Kuznets curve (EKC) hypothesis: A bibliometric review of the
           last three decades

    • Free pre-print version: Loading...

      Authors: Lin-Sea Lau, Kwang-Jing Yii, Cheong-Fatt Ng, Yan-Ling Tan, Thian-Hee Yiew
      Abstract: Energy & Environment, Ahead of Print.
      The environmental Kuznets curve (EKC) is a widely tested hypothesis in the environmental economics literature. It explains the dynamics between economic growth and environmental degradation. This study conducts a bibliometric analysis for the past three decades (1994–2021) that contributes to the intellectual structure and knowledge progress of the EKC hypothesis using descriptive analysis and networking analysis. The descriptive analysis comprises publication trends, language, publishers, Web of Science category and research areas, and citation analysis. Meanwhile, networking analysis includes keyword co-occurrence analysis, co-authorship analysis and co-citation analysis. The findings of the descriptive analysis reveal that the number of publications in the EKC hypothesis has gradually increased over the years. The most productive publishers are Elsevier and Springer Nature. Researchers from China and Turkey tend to be the most prolific authors, with the highest number of citations, co-authorships and co-citations. According to the network analysis, the main keywords appearing in the EKC studies are economic growth, CO2 emissions, energy consumption, China, renewable energy and financial development, which is also supported by the most frequently used keyword plus and its clusters. Based on our findings, we have proposed several policy recommendations from the keyword analysis that could foster economic development and improve environmental quality simultaneously. From the emerging trends of EKC, new directions for future research are also proposed.
      Citation: Energy & Environment
      PubDate: 2023-06-08T05:46:50Z
      DOI: 10.1177/0958305X231177734
       
  • Demand response an effective solution for dynamic balancing of variable
           supply with variable demand: Evidence from Indian electricity system

    • Free pre-print version: Loading...

      Authors: Balasubramanian Sambasivam, Patil Balachandra
      Abstract: Energy & Environment, Ahead of Print.
      In recent years, electricity systems have been undergoing rapid renewable energy transitions. This has introduced myriad challenges, namely, matching variability in both supply and demand sides, low plant load factors, resource constraints, etc. Managing these challenges requires effective demand-side solutions. Therefore, demand response (DR) approaches become relevant and essential in better-performing supply- and demand-side planning and management. For this purpose, in this article, two scenarios representing different situations and needing different interventions are developed for future years to study the effectiveness of demand-side solutions in managing the adverse supply-side constraints through an optimization model. The two scenarios are (i) Demand Response in Constrained Electricity System and (ii) Demand Response in High Renewables Electricity System. The model results suggest that the optimization model is robust enough to achieve an optimal as well as desirable solutions for both scenarios and provide evidence for the effectiveness of DR in addressing such challenges. DR solutions, if implemented effectively, can alter and moderate load curves to achieve perfect balance with supply profiles that are affected by resource constraints or by high penetration of solar and wind energy resources.
      Citation: Energy & Environment
      PubDate: 2023-06-07T05:42:24Z
      DOI: 10.1177/0958305X231179908
       
  • Transitioning to low carbon economy among OECD countries: Do renewable
           energy, globalization and higher economic growth matter'

    • Free pre-print version: Loading...

      Authors: Ernest Baba Ali, Bright Akwasi Gyamfi, Paul Adjei Kwakwa, Ebenezer Agbozo
      Abstract: Energy & Environment, Ahead of Print.
      Facts have proven that humanity has incurred a significant environmental cost in the process of gaining economic success due to a surge in carbon dioxide emissions. Nevertheless, if carbon emissions are not curbed at the same time, economic growth may be slowed or stopped completely. It is for this reason that OECD member countries have set out plans to cut emissions. For this reason, the current paper scrutinizes the consequence of renewable energy intake, nonrenewable energy usage, economic globalization and economic progress on environmental destruction among 28 OECD countries by means of data spanning 1990 to 2019 period. The augmented mean group heterogeneous panel model and the common correlated effects mean group regression technique revealed evidence of a positive and negative significant connection between economic progress, and square of economic progress and carbon emission respectively (thus justifying the presence of the reversed U-shaped curve hypothesis) for OECD countries. Moreover, both renewable energy intake and economic globalization reveal a destructive connection with environmental destruction while nonrenewable energy intake has positive significant relationship with the environment. It was also disclosed that renewable energy intensifies the environmental destruction reducing effect of globalization and negatively moderates the impact of economic progress on environmental destruction. On the basis of the findings, appropriate policy recommendations have been developed to assist these economies in their efforts to dissociate economic progress from environmental destruction.
      Citation: Energy & Environment
      PubDate: 2023-06-07T05:41:05Z
      DOI: 10.1177/0958305X231177746
       
  • A new look at environmental sustainability from the lens of green
           policies, eco-digitalization, affluence, and urbanization: Empirical
           insights from BRICS economies

    • Free pre-print version: Loading...

      Authors: Ao Wang, Shan Shan, Ridwan Lanre Ibrahim, Olatunde Julius Omokanmi
      Abstract: Energy & Environment, Ahead of Print.
      The unwavering adverse effects of global warming continue to threaten the sustainability of the ecosystem and peaceful human coexistence. Efforts to resolve this ecological matter promulgate the interest in green policies, which the extant studies are yet to explore fully. Consequently, this study provides the first empirical evidence on the roles of green policies vectoring, green energy, green finance, and green innovation amidst eco-digitalization and urbanization on environmental sustainability captured by CO2 emissions, ecological footprint, and PM2.5 air pollutions in BRICS countries from 1995 to 2019. The study relies on the STIRPAT framework alongside second-generation estimators in providing the empirical evidence. Findings indicate that green energy, green finance, green innovation, and eco-digitalization promote environmental sustainability by reducing CO2 emissions, ecological footprint, and PM2.5 air pollutions. Conversely, urbanization and affluence deter environmental sustainability due to their inducing effects the highlighted pollutants. The distributional analysis based on quantile regression and country-level estimation based on fully modified ordinary least squares technique accentuates the empirical regularity of the main findings. Besides, the Granger causality reveals the presence of bidirectional and unidirectional causality relationships in the estimated model. Based on the findings, feasible policies that enhance sustainability of the BRICS environment are formulated.
      Citation: Energy & Environment
      PubDate: 2023-06-02T06:41:49Z
      DOI: 10.1177/0958305X231177736
       
  • The ecological accountability reform and corporate investment efficiency:
           Evidence from a policy shock

    • Free pre-print version: Loading...

      Authors: Sheng Liu, Xin Gu, Xiuying Chen
      Abstract: Energy & Environment, Ahead of Print.
      The ecological accountability reform is an emerging environmental regulatory tool used by transition economies to correct failures and deviations in the traditional central-local environmental governance mode. This paper applies the propensity score matching with difference-in-differences method to test the impact of the central environmental inspection, an ecological accountability mechanism, on the investment efficiency of enterprises. The results reveal that the central environmental inspection can improve the corporate investment efficiency by resisting the urge to over-investment. Furthermore, this policy can improve corporate investment efficiency by dual functions of the incentive effect of increasing R&D investment and the pushback effect of financial risk. After a series of robustness checks, the results remained reliable. Heterogeneity tests show that the effect gradually appears in regions that implemented policy lately or with re-inspection, indicating the necessity of establishing a long-term mechanism. What's more, the positive effect of the central environmental inspection on corporate investment efficiency will be more significant in SOEs, large companies, and companies in provinces with weak environmental regulations. To achieve carbon peaking and carbon neutrality goals, this paper provides implications for improving collaborative governance system of local environmental protection and strengthening the linkage of environmental regulation and enterprise investment.
      Citation: Energy & Environment
      PubDate: 2023-06-02T06:40:29Z
      DOI: 10.1177/0958305X231177729
       
  • Assessing the linkages among tourism industry, economic output, energy
           consumption, and environmental quality

    • Free pre-print version: Loading...

      Authors: Chen Wen, Ke Gao, Xinming Chen, Kehan Li, Qiaoqiao Wei, Xiaowei Song
      Abstract: Energy & Environment, Ahead of Print.
      The prior empirical studies indicate torusim sector as an engine of economic growth worldwide. However, the activities linked with the tourism industries create several environmental problems as they require massive energy consumption. This study empirically explores the influence of tourism sub-sectors, i.e., accommodation (ACC), travel (TSP), food and drinks services (FDS), and shopping and entertainment (SAE) on the environmental quality in China measured by different greenhouse gasses emission and air pollutants. The bound testing ARDL approach has been employed to analyze the relationships for the data from 2001 to 2019. We also account for globalization (GLBN), economic growth (RGDP), and energy consumption (ENG), to normalize the tourism-linked sub-sectors’ environmental effects. The findings revealed that greenhouse gas emissions, especially N2O and CH4, are highly caused by FDS activities related to tourism, whereas CO2 emission is mostly caused by the TSP sector in long-term. Likewise, FDS is the highest causing factor of air pollutants except for PM2.5, and the SAE sector is highly responsible for N2O and CH4 in long-term. Furthermore, all the tourism-related sub-sectors are positively affecting economic growth and energy consumption in long-term, while TSP and SAE sectors contribute higher to the energy consumption and economic growth, respectively. Surprisingly, globalization has been seen to be a significant cause of decreasing greenhouse gases and air pollutants. Finally, the causality analysis outcomes revealed that most of the tourism sub-sectors are significantly causing air pollutants and greenhouse gases. As evidenced by the empirical results, numerous policy measures are proposed for policy initiatives for China to promote its environmental quality.
      Citation: Energy & Environment
      PubDate: 2023-06-02T06:39:50Z
      DOI: 10.1177/0958305X231177728
       
  • The effect of Chinese-specific environmentally responsible leadership on
           the adoption of green innovation strategy

    • Free pre-print version: Loading...

      Authors: Shih-Chin Lee, Stanley Y. B. Huang
      Abstract: Energy & Environment, Ahead of Print.
      To examine how clean energy technology companies, achieve sustainable clean energy development, the present study proposes a new model that uses the upper echelons theory to describe how Chinese-specific environmentally responsible leadership (CERL) of chief executive officers (CEOs) influences a company's adoption of green innovation strategy (GIS) via the intermediary role of the environmental organizational citizenship behavior (EOCB) of top management teams (TMTs).The multilevel curve model is used to analyze a survey of 50 CEOs and 150 TMT members collected three times in 6 months, and the results of the analysis support all the hypotheses. The results have three important contributions to the energy and environment field. First, the present study is the first to propose CERL, and CERL can not only promote the development of environmental leadership in the Chinese environment but also achieve the goal of sustainable clean energy operations. Second, the present study employs a specific model to demonstrate how TMTs’ EOCB can transform companies’ strategic formulations into GIS through the CERL of CEOs. Finally, the present study addresses the cultural gap through CERL, so it makes a significant contribution to the energy and environment field from a cultural dimension.
      Citation: Energy & Environment
      PubDate: 2023-05-29T07:16:58Z
      DOI: 10.1177/0958305X231177731
       
  • Revisiting the impact of renewable energy on carbon emission in 130
           countries—The mediating effect of resource rental rents and human
           capital

    • Free pre-print version: Loading...

      Authors: Qiang Wang, Xiaoli Yang, Rongrong Li, Ting Yang
      Abstract: Energy & Environment, Ahead of Print.
      More efficient use of renewable energy to reduce carbon emission requires a more comprehensive understanding of the impact of renewable energy on carbon emissions. To this end, this work investigates the linear and nonlinear relationship between renewable energy consumption and carbon emissions in 130 countries from the new perspective of resource capital factors (total natural resources rents) and human capital (human capital index). The results are given that from a global perspective, the increase in the proportion of renewable energy consumption can accelerate the reduction of per capita carbon emissions before reaching a particular threshold value of total natural resources rents. When a specific natural threshold value is reached, the increase in the proportion of renewable energy consumption will reduce the rate of per capita carbon emissions. Another interesting finding is that the greater the human factor, the lower the reduction rate of per capita carbon dioxide emissions. To explain the above phenomenon, all countries are divided into four different income levels for further heterogeneity research. When the threshold variables are different, the impact on carbon emissions in various income countries is heterogeneous, which is further analyzed in the article. Furthermore, a meaningful discovery shows that whether the threshold variable is natural or human factor, low-income countries benefit the most from the carbon reduction effect brought by the increase in the proportion of renewable energy consumption, followed by lower-middle income and upper-middle income countries, and the lowest is higher-income countries.
      Citation: Energy & Environment
      PubDate: 2023-05-29T07:16:05Z
      DOI: 10.1177/0958305X231177726
       
  • Retracted: “Economic regulation of energy costs when integrated into
           distribution networks of industrial enterprises”

    • Free pre-print version: Loading...

      Abstract: Energy & Environment, Ahead of Print.

      Citation: Energy & Environment
      PubDate: 2023-05-29T05:53:36Z
      DOI: 10.1177/0958305X231178908
       
  • Research on the dynamic evolution and influence factors of industrial
           energy efficiency in China Yangtze River Economic Belt

    • Free pre-print version: Loading...

      Authors: Jiansheng You, Rui Zhao
      Abstract: Energy & Environment, Ahead of Print.
      Improving the Yangtze River Economic Belt's industrial energy efficiency is not only an important measure to alleviate China's energy shortages but also a drive to promote green economic development. The Super-EBM model, Malmquist productivity index, exploratory spatial data analysis, and Spatial Dubin model are used in this article to investigate the spatial-temporal dynamic development characteristics and influencing factors of industrial energy efficiency in 108 cities of the Yangtze River Economic Belt from 2011 to 2020. The findings demonstrate that the industrial energy efficiency of the Yangtze River Economic Belt and its three urban agglomerations went through three stages, including the “oscillation period,” “stability period,” and “enhancement period,” and decreases from east to west in the spatial dimension. The Yangtze River Delta urban agglomeration has the highest industrial energy efficiency, followed by the Middle-reach Yangtze River urban agglomeration, and the Chengdu-Chongqing urban agglomeration is the lowest. Further, this article identifies seven influencing factors including government intervention, industrial structure, degree of openness, R&D investment, urbanization, economic development, and environmental regulation. This article provides suggestions for industrial energy efficiency improvement.
      Citation: Energy & Environment
      PubDate: 2023-05-26T05:06:49Z
      DOI: 10.1177/0958305X231177750
       
  • Are corporate environmental, social, and governance practices contagious'
           The peer-effect perspective

    • Free pre-print version: Loading...

      Authors: Shijun Huang, Pengcheng Du, Yu Hong, Woran Wu
      Abstract: Energy & Environment, Ahead of Print.
      Environmental (E), social (S), and governance (G) concepts have become a global consensus. Therefore, exploring the motivation mechanism adopted by companies to carry out ESG practices to promote sustainable social and economic development is of far-reaching significance. This study investigated whether there was a peer effect in the ESG practices of A-share listed companies and explored its mechanism of action and economic consequences using the data of Chinese A-share listed companies from 2010 to 2021. The empirical results show that there is a significant regional and industry peer effect on the ESG practices of A-share listed companies, which still holds when the average stock trait return is used as the instrumental variable. Furthermore, the mechanism test indicates that the information learning motive and agency cost are potential reasons for the peer effect of ESG practices. On the one hand, followers with information disadvantages tend to imitate the ESG practices of leaders with information advantages, but the converse is invalid. On the other hand, a worse external information environment leads to a higher degree of uncertainty, while a higher agency cost leads to a stronger peer effect of ESG practices. Lastly, the peer effect of corporate ESG practices helps create corporate value and increases corporate risk-taking to some extent. This paper provides a new micro perspective for understanding the occurrence mechanism and economic consequences of ESG practices, as well as crucial empirical evidence for firms to make sustainable development investment decisions.
      Citation: Energy & Environment
      PubDate: 2023-05-25T02:57:56Z
      DOI: 10.1177/0958305X231177749
       
  • Does artificial intelligence improve energy productivity in China's
           industrial sector' Empirical evidence based on the spatial moderation
           model

    • Free pre-print version: Loading...

      Authors: Jing Rong, Wei Wang, Haijun Zhang
      Abstract: Energy & Environment, Ahead of Print.
      This study investigates the impacts of industrial intelligence on the total factor energy productivity (TFEP) using extended STIRPAT and spatial moderation models for China's industrial sector. The results show that TFEP and industrial intelligence are both increasing, and industrial intelligence positively affects TFEP, for every 1% increase in industrial intelligence will lead to TFEP growth by 0.121% in the study area and 0.031% in surrounding areas. Environmental regulation, industrial upgrading, and advanced human capital all function as helpful moderators between industrial intelligence and TFEP, that is, for every 1% increase in environmental regulation, industrial upgrading, and advanced human capital, the growth of TFEP caused by industrial intelligence enhanced by 0.003%, 0.009%, and 0.022% in study area and 0.005%, 0.042%, and 0.054% in surrounding areas.
      Citation: Energy & Environment
      PubDate: 2023-05-25T02:56:30Z
      DOI: 10.1177/0958305X231177732
       
  • Financial instability and environmental degradation: Evidence from South
           Asia

    • Free pre-print version: Loading...

      Authors: Faisal Abbas
      Abstract: Energy & Environment, Ahead of Print.
      This study examines the impact of financial instability (FI) on environmental degradation (ED) along with economic growth (EG), foreign direct investment (FDI), and energy consumption (EC) in five South Asian economies from 1980 to 2021. The study uses a fixed-effect panel model and a two-step system GMM for robust outcomes. The empirical findings demonstrate that FI has a positive and significant effect on ED in South Asian economies. However, the impact of FI on ED varies across South Asian countries. Overall, the impacts of EG, FDI, and EG are positive and significant on ED in South Asia. The effects of EG, FDI, and EG are also heterogeneous for countries in South Asia. However, FDI reduces ED in Pakistan, Bangladesh, and India. Therefore, the study provides several policy recommendations to combat ED in the South Asian region.
      Citation: Energy & Environment
      PubDate: 2023-05-23T05:30:59Z
      DOI: 10.1177/0958305X231177733
       
  • Air pollution and daily public transportation ridership: The case of Seoul
           city

    • Free pre-print version: Loading...

      Authors: Eunmo Yang, Hojoong Bae, Doojin Ryu
      Abstract: Energy & Environment, Ahead of Print.
      This study examines the relationship between air pollution and daily mobility, focusing on daily bus and subway usage in Seoul using panel data with the fixed effects model. This study empirically examines the effect of air pollutant exposure on the daily moving population volume, including daily bus and subway usage in Seoul over 1271 days. The results show that people's sensitivity to particulate matter is complex. The most remarkable aspect of the results is that people are not sensitive to continuous pollutant levels, but to the comprehensive air-quality index (CAI). In addition, people's sensitivity is different depending on the moving distance and the means of transportation. Considering that CAI is defined by adopting the first air quality guidelines proposed by the World Health Organization (WHO) in 2005, these results explain how sensitive people are to the human health risks of particulate matter exposure recommended by the WHO. Our findings can be used as evidence to establish the new particulate matter standards and policies that can be strengthened by reflecting the recently updated WHO's air quality guidelines in 2021.
      Citation: Energy & Environment
      PubDate: 2023-05-19T12:07:15Z
      DOI: 10.1177/0958305X231174011
       
  • A hybrid machine learning approach for forecasting residential electricity
           consumption: A case study in Singapore

    • Free pre-print version: Loading...

      Authors: Hui Yun Rebecca Neo, Nyuk Hien Wong, Marcel Ignatius, Kai Cao
      Abstract: Energy & Environment, Ahead of Print.
      Ensuring effective forecasting of buildings' energy consumption is crucial in establishing a greater understanding and improvement of buildings' energy efficiency. In Singapore, domestic electricity usage in public residential buildings takes up a significant portion of the country's annual energy consumption. Having effective forecasting approaches is thus important in supporting relevant strategies and policy making. In this research, we proposed a hybrid approach that was based on a combination of building characteristics and urban landscape variables to predict residential housing electricity usage in Singapore. XGboost was also incorporated inside the hybrid approach as the preferred machine learning approach for energy consumption predictions. To demonstrate our proposed approach's predictive strength, the performance of our proposed hybrid machine learning approach was compared with two other models, Geographically Weighted Regression (GWR) model and the Random Forest (RF) model. Results showed that our proposed hybrid model had outperformed these abovementioned approaches with higher accuracy (r2 value of 0.9). The proposed approach had thus been effective in forecasting electricity consumption for public housing in Singapore, and it could also be utilised in other similar urban areas for future electricity consumption forecasting.
      Citation: Energy & Environment
      PubDate: 2023-05-19T07:32:41Z
      DOI: 10.1177/0958305X231174000
       
  • Going away or going green in ASEAN countries: Testing the impact of green
           financing and energy on environmental sustainability

    • Free pre-print version: Loading...

      Authors: Atif Jahanger, Daniel Balsalobre-Lorente, Mumtaz Ali, Ahmed Samour, Shujaat Abbas, Turgut Tursoy, Foday Joof
      Abstract: Energy & Environment, Ahead of Print.
      The role of green finance is to develop green industry mechanisms in areas including transportation, building, water preservation, clean energy production, storage, and distribution, which ultimately results in emissions and waste reduction, biodiversity habitat protection, and pollution control. Therefore, recognizing the significance of green finance, this research investigates the asymmetric role of green finance and clean energy in the reduction of carbon emissions along with economic growth, foreign direct investment, and urbanization as control antecedents using the econometric model of “non-linear autoregressive distributed lag (NARDL)” for the period 2000–2020 in ASEAN nations. According to the NARDL outcomes, green finance, and clean energy positive shock enhances the ecological quality and negative shocks harm environmental quality. In addition, economic growth, and urbanization contribute to harmful pollutants. Therefore, the results recommend ASEAN nations’ governments, environmentalists, and policymakers, devise strong financial mechanisms, and develop long-term green investment strategies to attract green finance and investment opportunities to bridge the gap in clean energy.
      Citation: Energy & Environment
      PubDate: 2023-05-19T06:00:00Z
      DOI: 10.1177/0958305X231171346
       
  • Can green credit inhibit regional carbon emissions' evidence from
           China

    • Free pre-print version: Loading...

      Authors: Lingjun Guo, Wenyu Tan, Yi Xu, Qinchen Tang, Guangfu Liu
      Abstract: Energy & Environment, Ahead of Print.
      During the inhibition path of carbon emissions, the role of green finance is of increasing concerns, among which, green credit is regarded as crucial instrument. However, there exist insufficient empirical explorations on effects of green credit. Therefore, this study introduced intergovernmental panel on climate change method to calculate regional carbon emissions based on eight fossil fuels from 2008 to 2019 in China. Subsequently, spatial measurement, threshold regression, and intermediary model were further applied to examine how green credit may affect carbon emissions regarding the restraining effect, threshold effect, transmission mechanism, and spatial heterogeneity. The results show that: (1) green credit can effectively inhibited China's provincial carbon emissions although there existed regional inconsistency. (2) Appropriate levels of environmental regulation and marketization can enhance the repress effect of green credit. (3) Green credit can suppress provincial carbon emissions through optimizing the energy consumption structure, while there exists no intermediary effect of industrial structure upgrading during impact path. (4) Considering endogeneity, green credit can still significantly inhibit regional carbon emissions. These findings further enrich the current literature and provide references for policy design of constructing efficient carbon neutralization path.
      Citation: Energy & Environment
      PubDate: 2023-05-16T11:05:06Z
      DOI: 10.1177/0958305X231160592
       
  • Novel design, implementation, and performance optimization of inverters by
           considering the effect of modulation

    • Free pre-print version: Loading...

      Authors: Mojtaba Nedaei, Maurizio Faccio, Philip R Walsh, Mohammad G Rasul, Stéphane Pierre Alain Bordas
      Abstract: Energy & Environment, Ahead of Print.
      This research seeks to combine a comprehensive analysis of the literature regarding energy efficiency and inverters with an analysis of a configuration of a hybrid energy system including a generator, an inverter and a battery. The inverter's power output is analyzed under the influence of different distribution functions during a robust modulation procedure for achieving optimum energy saving. The modulation is tested on two processing machines independently: (a) an electric discharge machine, and (b) an injection molding machine. Based on the research methodology, problem formulations and the conducted analysis, a novel research software called “Inverter Pro V1” was programmed to analyze the estimations and performance of inverters in an energy system. An optimal levelized cost of electricity was determined given certain systems design and operating hours, and a sensitivity analysis was undertaken that identified a range of energy savings. In the sensitivity and optimization analysis, interactions among the primary decision parameters including the system's capacity, operating time, energy saving, cost of energy and payback period are investigated. It is also found that for each system, the inverter modulation categories with the optimum payback period belong to a modulation of inverter designed according to the Sawtooth function with a 45% duty cycle and switching intervals of 0.35 s. By considering the operating hours of 12.5 h per day, and the calculated system's investment cost of €31,782.158, the optimum payback period is estimated to be 1.7729 year. The study results are to inform policy with regard to assisting sustainable electricity production.
      Citation: Energy & Environment
      PubDate: 2023-05-12T07:00:13Z
      DOI: 10.1177/0958305X231164688
       
  • Asymmetric linkages between pandemic uncertainty and environmental
           quality: Evidence from emerging economies

    • Free pre-print version: Loading...

      Authors: Chang Wentao, Zhou Xinjian, Raima Nazar
      Abstract: Energy & Environment, Ahead of Print.
      The current COVID-19 pandemic was a huge shock, influencing a wide range of socioeconomic measures, including the environment. The issue of how the uncertainty caused by pandemics will influence environmental quality is critical. This research examines the nonlinear relationship between pandemic uncertainty and environmental quality across leading polluted emerging economies (China, India, Russia, Indonesia, Brazil, Mexico, Iran, Saudi Arabia, South Africa, and Turkey). Using data ranging from 1996 to 2020, a distinctive approach, ‘Quantile-on-Quantile’, is used. Greenhouse gas emissions (GHG) are adopted as a proxy for environmental quality. The outcomes analyze how pandemic uncertainty's quantiles influence the quantiles of GHG asymmetrically, giving an efficient paradigm for grasping the entire dependence structure. The findings show that pandemic uncertainty improves environmental quality by decreasing GHG in our sample economies at diverse quantiles. Higher levels of GHG (75th–90th quantiles) suggest a strong negative association between pandemic uncertainty and GHG in the majority of nations. The magnitude of the coefficients helps to explain why pandemic uncertainty has a significantly greater impact on GHG in Mexico and Turkey (with a coefficient size of −2) compared to Russia, India, and South Africa, where the effect is considerably smaller (with a coefficient size of −0.05). Furthermore, the rank of asymmetry in our chosen variables fluctuates by nation, underscoring the prominence of governments exercising caution and prudence while implementing pandemic-based uncertainty and environmental quality measures.
      Citation: Energy & Environment
      PubDate: 2023-05-12T05:56:51Z
      DOI: 10.1177/0958305X231169271
       
  • Upcycling of plastic and tire waste toward use as modifier for asphalt
           binder

    • Free pre-print version: Loading...

      Authors: Seonho Lee, Young-Kwon Park, Jechan Lee
      Abstract: Energy & Environment, Ahead of Print.
      A tremendous amount of plastic and tire waste is generated every day. Pyrolysis gives a sustainable plastic and tire waste management solution by transforming them into high-value carbonaceous materials (i.e., char). Char made from plastic or tire waste can be used as a modifier for asphalt binder (i.e., bitumen), in order to improve the properties and performance of base bitumen. In most cases, the char is produced from waste feedstock at ≤300°C, most likely due to the high volatile matter content in feedstock. These chars have been proven experimentally to enhance the deformation resistance, rutting resistance, stiffness, and elasticity of bitumen. The optimal dosage of char in the modification process is highly associated with the kind of waste feedstock and pyrolysis conditions under which the char is made. The present review highlights the promise of the char materials derived from plastic and tire waste for use in materials applied to civil and construction industries, which is aimed specifically at expanding the application of chars made from plastic and tire waste beyond their typical applications, such as in environmental remediation and catalysts.
      Citation: Energy & Environment
      PubDate: 2023-05-09T05:29:00Z
      DOI: 10.1177/0958305X231173999
       
  • Digital finance and inequality in renewable energy technology innovation

    • Free pre-print version: Loading...

      Authors: Xing Zhao, Jing Zhao
      Abstract: Energy & Environment, Ahead of Print.
      The development of renewable energy is a strategic deployment to address climate change and ensure energy security. Frontier research generally focuses on the impact of renewable energy development and technological innovation on environmental protection and neglects the inequality in renewable energy technology innovation. This paper constructs a renewable energy technology innovation inequality index and analyzes the impact of digital finance on renewable energy technology innovation inequality using panel data from 30 regions in China from 2011 to 2018. The study found that digital finance can alleviate inequality in renewable energy technology innovation. The mechanism test results show that digital finance can optimize green credit allocation, promote technology flow, and optimize energy consumption structure, thus reducing inequality in renewable energy technology innovation. Further analysis shows that the differences in local government governance, environmental regulation, financial supervision, marketization, digital divide, and renewable energy category affect the relationship between digital finance and inequality in renewable energy technology innovation. This paper clarifies the relationship between digital finance and inequality in renewable energy technology innovation and provides new ideas for renewable energy technology innovation.
      Citation: Energy & Environment
      PubDate: 2023-05-08T07:03:38Z
      DOI: 10.1177/0958305X231171352
       
  • The impacts of economic policy uncertainty, energy consumption,
           sustainable innovation, and quality of governance on green growth in
           emerging economies

    • Free pre-print version: Loading...

      Authors: Dinkneh Gebre Borojo, Jiang Yushi, Miao Miao, Luo Xiao
      Abstract: Energy & Environment, Ahead of Print.
      This study investigates the impacts of economic policy uncertainty (EPU), energy consumption (EC), sustainable technological innovation (STI), and quality of governance on green growth (GG). Besides, it examines the moderating effect of STI and governance quality on the association between EPU and GG. It applies a Pooled Mean Group Autoregressive Distributed Lag estimator for 25 emerging economies for periods 1991–2019. For the robustness test, we utilize the asymptotic distribution of the Cross-section Augmented Distributed Lag to control for cross-sectional dependence concerns. We drive two indicators for GG by applying the principal component approach and directional distance function. The findings imply that STI and quality of governance have significant positive impacts on GG. However, EPU and EC adversely impact GG in emerging economies. Besides, quality of governance and STI positively moderate EPU's influence on GG, implying that countries with better quality of governance and promote STI mitigate the detrimental effects of high EPU on GG. Moreover, we run the causality analysis to investigate the causal relationship between target variables and GG. Policy suggestions are proposed based on the results.
      Citation: Energy & Environment
      PubDate: 2023-05-08T06:34:28Z
      DOI: 10.1177/0958305X231173997
       
  • Investigation on the relationship between the number of coronavirus
           disease 2019 cases at the beginning of the epidemic and the decrease of
           PM2.5 in Hubei, China: The role of temperature changes

    • Free pre-print version: Loading...

      Authors: Qiang Wang, Lili Wang, Rongrong Li
      Abstract: Energy & Environment, Ahead of Print.
      In response to the coronavirus disease 2019 pandemic, the Chinese government implemented blockade measures in Hubei, which largely affected the emission of pollutants. This work is aimed to explore the effects of epidemics on pollutants at different temperatures in Hubei, China. We applied for a panel nonlinear model with autonomous search thresholds to explore this, using daily average temperature as a threshold variable, and PM2.5 set as the explained variable, and the cumulative number of confirmed coronavirus disease 2019 cases set as the explanatory variable. An empirical analysis was conducted by running the proposed model and using nine cities in China most impacted by the pandemic. The results show that there was a non-linear negative relationship between the cumulative number of confirmed coronavirus disease 2019 cases and PM2.5. A more detailed non-linear relationship between the two was uncovered by the proposed panel threshold regression model. When the temperature crosses the threshold value (12.5 °C and 20.5 °C) in sequence, the estimated value was −0.0688, −0.0934, and −0.1520 in that order. This means that this negative non-linear relationship increased with increasing temperature. This work helps to explore the effect of coronavirus disease 2019 on pollutions at different temperatures and provides a methodological reference to study their nonlinear relationship.
      Citation: Energy & Environment
      PubDate: 2023-05-08T04:14:09Z
      DOI: 10.1177/0958305X231171348
       
  • Pooled mean group estimation of an energy-globalization-emissions nexus:
           Evidence from the selected South- and South-East Asian countries

    • Free pre-print version: Loading...

      Authors: Khalid Ahmed
      Abstract: Energy & Environment, Ahead of Print.
      Although globalization is widely credited for unprecedented global economic growth, it also bears responsibility for climate change. Today, the primary emphasis of contemporary research is to find ways that help to reduce climate change adversaries without compromising the globalization-led economic development agenda. Thus, this study takes the case of 12 emerging economies selected based on their emissions profile and vulnerability to climate change. Covering annual data from 1972 to 2018, this study accounts for globalization's economic, social, and political aspects and empirically tests their relationship with carbon footprints and energy demand in the panel countries. The results confirm the long-run equilibrium relationship among all the underlying variables and find that economic globalization significantly contributes to energy demand and carbon emissions. However, such an effect can be overcome through social globalization. Whereas political globalization reduces the energy demand but spurs carbon emissions. Our results rule out the ant-globalization narrative and support pro-globalization chronicles for sustainable development policy agenda in emerging economies. We suggest that the emerging countries that are mainly facing the decision dilemma to choose between sustainable economic growth and a sustainable environment, are better off if they equally integrate socially and politically with the global economy. Moreover, the model is checked for robustness using FMOLS and found validated. It warrants that the results are appropriate for policy control use.
      Citation: Energy & Environment
      PubDate: 2023-05-03T06:12:07Z
      DOI: 10.1177/0958305X231171703
       
  • An insight into the asymmetric effect of economic globalization on
           renewable energy in Australia: Evidence from the nonlinear ARDL approach
           and wavelet coherence

    • Free pre-print version: Loading...

      Authors: Abraham Ayobamiji Awosusi, Husam Rjoub, Mehmet Ağa, Ifeoma Prisca Onyenegecha
      Abstract: Energy & Environment, Ahead of Print.
      Boosting energy consumption, ensuring energy supply security, and mitigating emissions are critical global concerns, especially during the surge in energy prices, continuous expansion in income level and persistent economic integration with other countries, and climate change. The existing evidence on the determinant of renewable energy is still in its early stages; however, there is currently limited empirical evidence regarding the determinant of renewable energy in Australia. Therefore, this study probed into the effect of the asymmetric effect of economic globalization on renewable energy usage in Australia, which prior studies in the literature have neglected. The study employed carbon emissions, economic growth, and oil price as other regressors. The dataset for the period spanning from 1970 to 2018 was analyzed using the nonlinear autoregressive distributed lag. Evidence from the empirical analysis reported that the positive variation in economic globalization has a positive and significant effect on renewable energy, thus the rise in economic globalization promotes renewable energy. Meanwhile, the negative variation in economic globalization has a neutral impact on renewable energy. Furthermore, economic growth and oil price positively and significantly affect the usage of renewable energy in Australia. Moreover, carbon emissions have a negative and significant effect on renewable energy. Furthermore, the wavelets coherence was also for the robustness test, which reports positive co-movement between all regressors and renewable energy, except for CO2 emissions (negative co-movement). Economic globalization, economic growth, and CO2 emissions drive renewable energy, while renewable energy leads to oil prices in Australia. This study offers significant and crucial suggestions to policymakers in Australia, emphasizing the need to prioritize environmental sustainability and promote economic globalization to foster the growth of the clean and efficient energy sector.
      Citation: Energy & Environment
      PubDate: 2023-05-03T05:40:46Z
      DOI: 10.1177/0958305X231171702
       
  • Heterogeneous public attitudes toward high-voltage power transmission
           lines and willingness to pay for undergrounding projects

    • Free pre-print version: Loading...

      Authors: Shim Dongnyok, Hyunhong Choi, Kim Seung Wan
      Abstract: Energy & Environment, Ahead of Print.
      On the path to carbon neutrality by 2050, the expansion and improvement of high-voltage power transmission lines (HV-PTL) is a critical and unavoidable energy issue that may become a potential source of public conflict. However, the discussion on this issue in South Korea has been insufficient. In this study, we analyzed public attitudes toward HV-PTLs and classified people into subgroups based on their common characteristics using latent class models. In addition, we used the contingent valuation method to estimate the public's willingness to pay (WTP) for the conversion of overhead lines to underground cables, focusing on the differences among the identified subgroups. According to the empirical analysis, people in South Korea can be divided into four classes based on their perceived need for resident participation in the decision-making process, perceived health risk, and perceived property loss risk. According to the WTP analysis using the spike model, the estimated mean and median WTP values were KRW 4184 (USD 3.8) and KRW 2632 (USD 2.4) per household per month, respectively. In addition, we found a significant difference in WTP by class. Those who perceived HV-PTL as risky were less willing to pay for undergrounding projects compared with those whose perceived risk was relatively low. This study contributes to the understanding of academics and policymakers on the relationship between public attitudes toward HV-PTL and overhead to underground conversion.
      Citation: Energy & Environment
      PubDate: 2023-05-03T05:39:26Z
      DOI: 10.1177/0958305X231171692
       
  • The impact of green consumers on electric vehicle charging station
           diffusion based on complex network evolutionary game

    • Free pre-print version: Loading...

      Authors: Feng Liu, Xingjun Huang, Longxiao Li
      Abstract: Energy & Environment, Ahead of Print.
      The disparity between the supply and demand for public charging stations impedes road vehicle electrification. The public charging station, a socially produced artefact, is subject to customer preferences and government regulatory limits. However, traditional knowledge does not completely capture the complex dynamics behind the public charging station investment, and a combined interactive decision review is inadequate. To examine enhanced dynamic interactions, this paper provides a complex network evolutionary game model. According to the findings, subsidies for charging infrastructure construction are more vital than electric vehicle subsidies. Under present market conditions, removing the electric vehicle subsidy reduces the market percentage of charging stations by 6%, whereas removing the charging station construction incentive results in a 35% decline. Second, charging price and charging station diffusion has an inverted U-shaped relationship, and increasing the oil price slows charging station dispersion. Third, the construction cost has less of an influence on charging station diffusion. Finally, green consumer preferences are the key driver of public charging station investment. An increase in consumer preference from 0.17 to 0.38 would lead to a 30% increase in the market share of the charging station industry from 53% to 83%. Based on these results, policy implications for the investment in public charging stations are discussed.
      Citation: Energy & Environment
      PubDate: 2023-05-03T05:38:07Z
      DOI: 10.1177/0958305X231164678
       
  • Gas market integration in South America: The role of Argentine gas to
           reduce the regional exposure to liquefied natural gas imports

    • Free pre-print version: Loading...

      Authors: Henrique Vilela Pinto dos Anjos, Alexandre Szklo, Mauro Francisco Chávez Rodríguez
      Abstract: Energy & Environment, Ahead of Print.
      After spending several years as net importer of natural gas, the development of unconventional gas reserves in Argentina can revert this scenario and change the dynamics of the Southern Cone regional gas integration. To assess the role of Argentine gas, this study utilised the TIMES-ConoSur optimisation model, which represents the regional integration of the gas and electricity systems. To improve the level of detail of the results, updates and modifications in different settings were made in the first version of the model. In addition, four scenarios were tested with two levels of LNG (liquefied natural gas) prices and including or not the interconnection between Argentina gas network and Brazil integrated network. The role of the Argentine gas was analysed based on its production potential and the export potential to the neighbour countries. Findings indicated that the development of the Argentine gas reserves can be a game changer, as it can affect directly the regional dynamics and the gas supply of the neighbour countries. The main future dynamics of the other countries in the region were also assessed, such as the role of Bolivian gas, the challenges to develop pre-salt gas and how will be the future of LNG in the region.
      Citation: Energy & Environment
      PubDate: 2023-04-25T04:47:10Z
      DOI: 10.1177/0958305X231171353
       
  • Linking corporate social responsibility and energy poverty: An
           environmental sustainability paradigm

    • Free pre-print version: Loading...

      Authors: Fahad Khalid, Yi Kefu, Rabia Akram, Kiran Batool
      Abstract: Energy & Environment, Ahead of Print.
      This article considers the motivational nature of business contributions toward sustainable development through corporate social responsibility. This study measures the corporate social responsibility contributions to maintain sustainable development by performing different sustainable development goals projects. The researchers use the quantitative techniques to analyze the data collected by using the monkey survey research method from the top 200 corporate social responsibility international origin companies, including public sector undertaking, private and exchange-listed companies (Bombay Stock Exchange, and National Stock Exchange) in India. For analysis purposes, results are calculated through coding, sorting, figures, and tabulation methods. Study results illustrate that corporate social responsibility is the best source to maintain sustainable development as overall contributions towards sustainable development goals are positive. But a particular contribution towards sustainable energy as sustainable development goal 7 is low, such as only 5.5%. It is possible that India's green energy sector may be advanced if more companies invest in energy-related projects like the others sustainable development goals performance. Based on the results, possible steps are also needed from the Indian government to maintain sustainable development at the national and global levels.
      Citation: Energy & Environment
      PubDate: 2023-04-25T04:46:51Z
      DOI: 10.1177/0958305X231169009
       
  • Heterogeneous impacts of carbon emission trading on green innovation:
           Firm-level in China

    • Free pre-print version: Loading...

      Authors: Haotian Zhang, Xiumei Sun, Mahmood Ahmad, Xueyang Wang
      Abstract: Energy & Environment, Ahead of Print.
      As an important market-based environmental policy, carbon emissions trading has played an increasingly important role in promoting energy conservation, emission reduction, and green innovation. The Chinese government started to implement a Carbon Emission Trade scheme in 2013 successively. This study uses a multi-period difference in difference to investigate the impact of Carbon Emission Trade on green innovation in panel data of listed companies from 2008 to 2020. The results show that: (1) Carbon Emission Trade significantly improves green innovation by 0.1916%. The robust test verifies the results. (2) The impact of Carbon Emission Trade on green innovation is heterogeneous at regional, industrial, and firm levels. From the regional level, Carbon Emission Trade has a stronger effect on regions with high marketization and low emissions. From the industry level, the policy effects are more pronounced in technology-intensive industries and the power industry, and negative policy effects are generated in Chemical industry, steel, and paper industries. From the enterprise level, Carbon Emission Trade shows better policy effects in state-owned enterprises, large enterprises. (3) Carbon Emission Trade enhances green innovation by reducing corporate financing constraints, improving corporate human capital, and strengthening government. (4) The enhancement of green innovation by Carbon Emission Trade balances the benefits. Increasing carbon price, market size and activity inhibit the increase of Carbon Emission Trade on green innovation. Based on the findings, the paper provides a new reference for the establishment of a carbon market.
      Citation: Energy & Environment
      PubDate: 2023-04-20T06:04:43Z
      DOI: 10.1177/0958305X231164690
       
  • Methodology to characterize urban areas with similar daily electricity
           load curves using smart meters and census information (Montevideo-Uruguay)
           

    • Free pre-print version: Loading...

      Authors: Pedro Chévez, Dante Barbero
      Abstract: Energy & Environment, Ahead of Print.
      Given the massive deployment of smart meters at international level, it is necessary to develop methodologies to extract knowledge from the data that they can provide. To this end, it is necessary to associate energy, socio-demographic and/or technical-constructive data, because this is the only way to identify profiles with their corresponding relevant variables or drivers. The usual problem is that socio-technical information about users is limited or non-existent, as it is costly to collect. Consequently, this work presents as a novelty the use of census information to characterize groups of urban segments with similar daily electricity load curves, which avoids the need to collect socio-technical information through specific surveys or direct measurements. In this way, relevant variables are identified in the determination of consumption patterns in the study case (Montevideo-Uruguay) and they are used to infer the daily behavior of those sectors of the city that don’t have this information.
      Citation: Energy & Environment
      PubDate: 2023-04-19T05:04:47Z
      DOI: 10.1177/0958305X231169011
       
  • Examining the nexus of energy intensity, renewables, natural resources,
           and carbon intensity in India

    • Free pre-print version: Loading...

      Authors: Oktay Özkan, Hephzibah Onyeje Obekpa, Andrew Adewale Alola
      Abstract: Energy & Environment, Ahead of Print.
      India remained the third-largest energy consumer in the world, responsible for around 7% of global carbon emissions due to rising incomes and improving living standards. Although resource extraction has quadrupled since 1970 due to rising population and demand for natural resources, energy use and transformation, notably of fossil fuel energy, have increased by around 45%, thus increasing greenhouse gas (GHG) emissions. In this view, this study aims to explore energy intensity, renewable energy, natural resources, economic growth, and environmental degradation nexus in India. The novel dynamic simulated autoregressive distributed lag and kernel-based regularized least squares (KRLS) approaches are used to explore the effects of energy intensity, renewable energy, natural resources, and economic growth on carbon intensity for India from 1970 to 2020. The empirical results reveal that renewable energy and natural resources improve India's environmental quality via the mitigation of carbon emissions. It is also found that energy intensity and economic growth deteriorate the country's environmental quality by increasing carbon emissions in the short- and long run. A series of robustness estimation affirms the above evidence, thus providing requisite guideline for relevant policy recommendations for the country.
      Citation: Energy & Environment
      PubDate: 2023-04-18T05:14:38Z
      DOI: 10.1177/0958305X231169706
       
  • Regulating the unobservable: The impact of the environmental regulation on
           informal economy and pollution

    • Free pre-print version: Loading...

      Authors: Mehdi Abid, Habib Sekrafi, Zouheyr Gheraia, Hanane Abdelli
      Abstract: Energy & Environment, Ahead of Print.
      This paper examines the impact of informal economy and ecological footprint on environmental regulation for a sample of 25 Sub-Saharan Africa economies (SSA) countries from 1991 to 2017. The results obtained from the techniques of static panel (Pooled ordinary least squares (POLS), random effects (RE), fixed effects (FE), and panel corrected standard error (PCSE)) as well as from dynamic panel (generalized method of moments in differences (D-GMM), and generalized method of moments in system (S-GMM)) were all consistent. They showed that the environmental regulation has a significant positive impact for both informal economy and ecological footprint in the selected economies. Regarding the relation between ecological footprint and per capita gross domestic product (GDP), an inverted U-shaped environmental Kuznets curve is verified. The study concludes that weak environmental regulation in the region reinforces informal economy and environmental pollution. Hence, findings from this study can help policymakers in the region to have a better understanding of the role of environmental regulation in reducing informal economy and environmental degradation.
      Citation: Energy & Environment
      PubDate: 2023-04-18T05:13:20Z
      DOI: 10.1177/0958305X231167465
       
  • How does renewable energy consumption and trade openness affect economic
           growth and carbon emissions' International evidence of 122 countries

    • Free pre-print version: Loading...

      Authors: Qiang Wang, Changan Li, Rongrong Li
      Abstract: Energy & Environment, Ahead of Print.
      This paper aims to systematically explore the impact of renewable energy consumption, trade openness, industrialization, and urbanization on economic growth and carbon emissions while considering the different development levels of 122 countries over the period 1998–2018. Pesaran CD test, CIPS unit root test, Pedroni cointegration test, fully modified ordinary least square (FMOLS) estimation, Dumitreschu–Hurlin causality test and DOLS robustness test are adopted. The results show that trade openness has different effects on economic growth and carbon emissions across different income groups. Specifically, the impact of trade openness on economic growth in high- and low-income countries is positive, while trade openness has a negative impact on economic growth in middle-income countries. Meanwhile, the impact of trade openness on carbon emissions supports the pollution haven hypothesis. Urbanization promotes economic growth in all income countries, and increases carbon emissions in countries of all income groups except high-income countries. Renewable energy consumption promotes economic growth and curbs carbon emissions, while industrialization increases economic growth and carbon emissions. Further findings show a one-way causality from trade openness to renewable energy consumption. Finally, some targeted recommendations are provided for countries with different development stages.
      Citation: Energy & Environment
      PubDate: 2023-04-17T06:35:05Z
      DOI: 10.1177/0958305X231169010
       
  • An innovative cluster-based prediction approach for mass solar site
           management

    • Free pre-print version: Loading...

      Authors: Jui-Tang Wang, Thi Anh Tuyet Nguyen, Yu-Hong Guo, Chau-Yun Hsu, Huang-Jun Xie
      Abstract: Energy & Environment, Ahead of Print.
      The scarcity of energy resources and global warming over the past few decades have prompted the widespread adoption of renewable energy sources. Among the potential renewable energy sources, solar energy has emerged as one of the most promising renewable energy sources. However, the uncertainty and fluctuations of solar power generation create negative impacts on the stability and reliability of the electric grid, planning of operation, economic feasibility, and investment. Therefore, accurate prediction of solar power generation is crucial to ensure the stability of the power grid and promote a large-scale investment in a solar energy system. A large number of research studies have been conducted on predicting solar power generation under different perspectives. However, no existing study analyses and predicts power generation of multi-solar energy sites by only one prediction model. The integration of multiple sites into one predictive model will reduce the number of required models for each site, thereby saving the computing resources and required calculation time. This paper proposes a novel methodology to group multiple solar sites and develop an integrated model by using a machine learning algorithm to predict power generation of each group. Firstly, the K-means clustering algorithm is utilized to cluster multiple solar sites which have similar power generation properties into one group. Then, a machine learning algorithm has been developed to predict power generation in a computationally fast and reliable manner. The proposed approach is verified by the real data of 223 solar sites in Taiwan. The experimental results show that the training time can be reduced by 93.2% without reducing the accuracy of the prediction model. Therefore, the cluster-based prediction approach gives better performance as compared with existing models.
      Citation: Energy & Environment
      PubDate: 2023-04-17T06:33:45Z
      DOI: 10.1177/0958305X231164676
       
  • Evaluation of European Union carbon and energy networks: Evidence from
           market efficiency

    • Free pre-print version: Loading...

      Authors: Xiaohang Ren, Yiying Li, Kun Duan, Tapas Mishra
      Abstract: Energy & Environment, Ahead of Print.
      This article investigates dynamic networks of the informational efficiency between European Union carbon and energy markets in a quantile-based framework. The market (in)efficiency degree is gauged by capturing the potentially fractional integration order of the market price series using the Feasible Exact Local Whittle estimator on a rolling basis. Rather than relying on a mean-based method, we employ the causality-in-quantiles approach, through which the cross-market linkage of the inefficiency degree is uncovered in a full-distributional characterization. The dynamic linkage is identified through the perspectives of data in return and volatility, respectively. We find that both carbon and energy markets are inefficient, while the inefficiency degree of the former is slightly higher. The inefficiency degree of the two types of markets is featured by asymmetry and non-linearity over the data distribution, while its cross-market linkage is found to be bi-directional. The spillover degree of the dynamic linkage remains the highest at around the median quantile of the “information giver,” while such the degree weakens at the extreme quantiles. Our findings possess insightful implications for effective operations of the emission trading toward a low carbon transition.
      Citation: Energy & Environment
      PubDate: 2023-04-17T06:32:47Z
      DOI: 10.1177/0958305X231156411
       
  • Modeling the moderating role of institutions on logistics–environment
           nexus in developed and developing economies

    • Free pre-print version: Loading...

      Authors: Mohamed Dawood Shamout, Salima Hamouche, Malek Bakheet Elayan, Adnan M Rawashdeh, Hamzah Elrehail, Dana Alshwayat
      Abstract: Energy & Environment, Ahead of Print.
      The primacy of logistics, environmental sustainability, and institutions for sustainable development has attracted the attention of researchers and policymakers. However, the role of institutions in the logistics–environment relationship has not been documented in the extant literature. Thus, this study examined the role of institutional (governance) quality on the logistics–environment nexus and compared the case of developed and developing economies using a state-of-the-art econometrics technique—Chudik-Pesaran (2022) Augmented Anderson–Hsiao two-step Generalized Method of Moment estimator for dynamic short-T panels, which is superior to previously used techniques in the extant literature. Key empirical findings outline a positive elasticity of environmental performance with respect to logistic performance and revealed that institutional factors play a significant role in the association between logistics performance and environmental sustainability in both developed and developing economies. The study results are useful for practitioners and key players and policymakers in the supply chain and logistics management industry in both developing and developed blocs. Thus, policies on green logistics and environmental sustainability should be pursued in both blocs are suggested in the concluding section of this study.
      Citation: Energy & Environment
      PubDate: 2023-04-11T05:10:55Z
      DOI: 10.1177/0958305X231167471
       
  • Comparative evaluation of combustion, performance, exergy and emission
           characteristics in hydrogen-biodiesel dual fuel engine under RCCI mode

    • Free pre-print version: Loading...

      Authors: Mukund Kumar, Abhishek Paul
      Abstract: Energy & Environment, Ahead of Print.
      The present work focuses on the impact of combustion phase shifting from CDC (conventional diesel combustion) to RCCI (reactivity controlled compression ignition) mode of operation under various premixed ratios of hydrogen on the combustion, performance and exhaust emissions of a partially modified CI (compression ignition) engine. The hydrogen premix ratios are varied from 10% to 60% with 10% increment and the engine is tested at 0.9 kW, 1.8 kW, and 2.7 kW. The experimental results have shown that the hydrogen participation up to 40% premixed ratio improves the homogeneousness and stability of the combustion, resulting in 8.19% increase in cylinder pressure and 27.81% increase in heat release rate (HRR) at 2.7 kW brake power. It is also observed that the premix phase of combustion is faster with up to 40% hydrogen participation as the 50% mass burn is found to shift towards TDC. At the same operating point, the combustion is also found to be more stable with 72% reduction in COVIMEP. The brake thermal efficiency (BTE) increases by 10.07% when operating at 2.7 kW brake power with a 40% premix ratio, compared to diesel CDC operation. The unburned hydrocarbon (UHC), carbon monoxide (CO), and PM emissions are reduced by 9.17%, 21.68%, and 9.51%, respectively, for the hydrogen premixed ratio of 40%, with a marginal increase in the oxide of nitrogen (NOX) emissions.
      Citation: Energy & Environment
      PubDate: 2023-04-10T04:38:01Z
      DOI: 10.1177/0958305X231167467
       
  • Environmental implication of international migration on high- and
           middle-income countries: A comparative analysis

    • Free pre-print version: Loading...

      Authors: Onur Çelik, Sibel Çetiner, İbrahim Abdallah, Edmund Ntom Udemba
      Abstract: Energy & Environment, Ahead of Print.
      In this paper, we researched the implication of international migration and pollution on environmental development of the selected countries which we classified as middle- and upper-income countries. Maintaining good environmental performance while keeping pollution at minimum level amidst international migration has being the global focus towards climate goal. On this premises, this study examines the relationship between international migration and carbon dioxide emission (CO2). Scientific approaches (random-effects model and Driscoll-Kraay standard error estimator) with panel data for the period from 2010 to 2019 are adopted for indepth analysis of the selected countries. The findings according to random-effects model/Driscoll-Kraay standard error estimator suggest the incresae of CO2 due to increase in international migration for the case of middle-income countries. Also, a decrease in CO2 due to increase in international migration is found for high-income countries. Following our main findings, as a function of CO2 emission, we recommend to take identity of people who migrate into consideration for both economics and environment policy. On the other hand, policies should be based on mitigating the negative impact of international migration and economic growth for the middle-income countries. Moreover, environmentally friendly growth technologies are suggested.
      Citation: Energy & Environment
      PubDate: 2023-04-06T07:24:13Z
      DOI: 10.1177/0958305X231167464
       
  • Non-renewable energy effects of trade in intermediate and final products:
           Evidence from emerging industrial economies

    • Free pre-print version: Loading...

      Authors: Mehmet Demiral, Özge Demiral, Özlem Öztürk-Çetenak, Gürçem Özaytürk, İbrahim Özaytürk
      Abstract: Energy & Environment, Ahead of Print.
      The interest in the trade–environment nexus is growing for emerging countries as their participation in world trade is increasing. However, the available evidence regarding the non-renewable energy effects of trade in intermediate and final products is limited. This study addresses this gap and investigates the separate effects of per capita exports and imports of intermediate and final products on per capita non-renewable energy supply (NES) in the case of 22 emerging industrial economies (EIEs) between 1995 and 2018. The study also considers per capita environmental inventions (EnvINV), industry value-added (IND), services value-added (SERV), and renewable energy supply (RES). After confirming that the modeled variables are cross-sectionally dependent, first-difference stationary, and cointegrated, the long-run heterogeneous coefficients are estimated through the common correlated effects mean group and augmented mean group estimators. Consistent results show that although both are positively associated with NES, the magnitudes of the impacts of intermediate product imports are higher than that of intermediate product exports. Similar effects are observed in the final product trade. The Dumitrescu–Hurlin test finds unidirectional causalities from all trade indicators to NES. Additional results reveal positive impacts of IND and SERV, negative effects of RES, and insignificant impacts of EnvINV. Several policy insights are provided to better inform practitioners about the environmental implications of emerging economies’ trade specialization pattern in energy-intensive global production networks.
      Citation: Energy & Environment
      PubDate: 2023-04-05T08:33:18Z
      DOI: 10.1177/0958305X231167474
       
  • China's renewable energy and energy efficiency policies toward carbon
           neutrality: A systematic cross-sectoral review

    • Free pre-print version: Loading...

      Authors: Yiqun Yang, Kevin Lo
      Abstract: Energy & Environment, Ahead of Print.
      The ambitious targets of peaking CO2 emissions before 2030 and reaching carbon neutrality before 2060 (Goal 3060) have emerged as the driving force in the development of China's low-carbon energy policy. Adopting a systematic review approach, this article provides a timely analysis of key Chinese renewable energy and energy efficiency policies under Goal 3060 across five sectors: electricity, industry, transportation, buildings, and local governments. In addition, the review identifies challenges to be addressed and offers policy recommendations. There are five main conclusions: (1) expedite the development of market-based and network-based governance systems; (2) pursue the harmonization of policies by avoiding contradiction and fragmentation; (3) develop new policies, especially in the building and transportation sectors; (4) embrace surveillance technologies to improve implementation and compliance; and (5) ensure just transition by implementing policy to reduce the negative socioeconomic impacts on fossil fuels-based communities and workers. This review serves as a useful guide for scholars interested in China's clean and low-carbon energy transition.
      Citation: Energy & Environment
      PubDate: 2023-04-05T08:31:59Z
      DOI: 10.1177/0958305X231167472
       
  • How can corporate social responsibility predict voluntary
           pro-environmental behaviors'

    • Free pre-print version: Loading...

      Authors: Stanley YB Huang
      Abstract: Energy & Environment, Ahead of Print.
      This article proposes the multilevel model to draw how corporate social responsibility (CSR) can increase pro-environmental behaviors and employs green identity as the mediator based on cognitive consistency theory. This article employs the multilevel model to test the theoretical framework using 400 employees from 100 different workgroups in the clean energy technology businesses of Greater China. The findings revealed that when an employee perceived more individual-level CSR at the initial time (Time 1) would increase more individual-level green self-categorization (GSC), green affective commitment (GAC), and green self-esteem (GSE), which consequently increased pro-environmental behaviors (PBs) at the individual level and work-unit level. This finding suggests that managers not only must build individual-level perceived CSR of employees but must also foster work-unit-level (atmosphere) CSR within a group to increase work-unit-level GI, which consequently can increase PBs.
      Citation: Energy & Environment
      PubDate: 2023-04-03T06:18:36Z
      DOI: 10.1177/0958305X231167473
       
  • Assessing the impact of digitization and servitization of manufacturing
           firms in the context of carbon emission reduction: Evidence from a
           microsurvey in China

    • Free pre-print version: Loading...

      Authors: Xiaowei Song, Jun Yang
      Abstract: Energy & Environment, Ahead of Print.
      In the context of carbon emission reduction, both servitization and digitalization of manufacturing enterprises are important ways to promote the high-quality development of manufacturing enterprises. The coordinated development of digitalization and servitization may provide a feasible path for enterprises to realize energy conservation and emission reduction across the value chain. Based on the 393 valid questionnaires issued by the Association of Manufacturing Enterprises and government agencies, this paper uses the methods of Grey Relational Analysis and Topsis to construct three major indicator systems of manufacturing enterprise service, digitalization and high-quality economic development. Based on the Cobb–Douglas production function regression analysis, the relevant assumptions involved in the model of promoting the service of manufacturing enterprises and the model of promoting the digitalization of manufacturing enterprises are verified. The empirical results show that, firstly, the digitalization capability of manufacturing enterprises can positively affect the servitization performance of manufacturing enterprises. Secondly, the digital capability of manufacturing enterprises has a significant positive impact on both breakthrough service innovation and incremental innovation of manufacturing enterprises. Thirdly, breakthrough service innovation and incremental service innovation play a partial mediating role. Fourthly, the degree of servitization of manufacturing enterprises has a significant positive impact on the digital demand of supporting customer behavior service business and supporting customer product service. There are three possible contributions of this paper. Firstly, it has further enriched and deepened the research on the interactive mechanism of digitalization and service of manufacturing enterprises. The second is to design a scientific and systematic evaluation system for the digitalization and service level of Chinese manufacturing enterprises, and measure and evaluate the coupling and coordination level of digitalization and service level of Chinese manufacturing enterprises based on this. Thirdly, it reveals the promotion of the coordinated development of digitalization and service in manufacturing enterprises to the high-quality development of manufacturing enterprises in China and puts forward that the coordinated development of digitalization and service in manufacturing enterprises is a way to promote the high-quality development of manufacturing enterprises.
      Citation: Energy & Environment
      PubDate: 2023-04-03T06:18:01Z
      DOI: 10.1177/0958305X231167470
       
  • Connectedness and risk spillovers between crude oil and clean energy stock
           markets

    • Free pre-print version: Loading...

      Authors: Emre Cevik, Emrah I Cevik, Sel Dibooglu, Raif Cergibozan, Mehmet Fatih Bugan, Mehmet Akif Destek
      Abstract: Energy & Environment, Ahead of Print.
      This research investigates the relationship between clean energy stock and oil market returns utilizing Granger predictability in distribution and quantile impulse response analysis. We find that clean energy stock returns Granger predict oil price returns during “normal times” based on the distribution’s center, but not vice versa. During bullish market episodes, there is bidirectional Granger predictability between the returns of clean energy stocks and oil market returns. Nonetheless, we find that clean energy stock returns Granger predict oil returns in bearish markets without any evidence of the contrary. This indicates that oil returns cannot be used to hedge the downside risk associated with renewable energy company purchases. Quantile impulse responses for the relationship between clean energy stocks and the crude oil market reveal bidirectional and significant responses, where a negative shock during an extremely down market reveals a negative response in the other market and a positive shock during an extremely up market reveals a significant positive response. This shows that neither market can be utilized to offset risks in the other market.
      Citation: Energy & Environment
      PubDate: 2023-04-03T06:16:01Z
      DOI: 10.1177/0958305X231167468
       
  • Identifying typologies of synthetic energy justice: Eco-centric and
           anthropocentric perspectives

    • Free pre-print version: Loading...

      Authors: Inseok Seo, Youhyun Lee
      Abstract: Energy & Environment, Ahead of Print.
      Since the concept of energy justice emerged, studies have conceptually, but rarely empirically, explored energy justice. In addition, studies on energy justice have mainly focused on anthropocentric values toward energy justice. This study aims to categorize Organization for Economic Cooperation and Development (OECD) countries’ energy justice using synthetic energy justice via two aspects: eco-centrism and anthropocentrism. Each aspect of energy justice is sub-divided into distributive, substantive, and procedural justices. Using a fuzzy set qualitative comparative analysis methodology via a statistical program, we suggest typologies of 35 OECD countries for each aspect. Eight types of energy justice for each aspect are extracted, and four types of synthetic energy justice groups are identified among OECD countries. Austria, Iceland, and Luxembourg show the best performance in synthetic energy justice, but do not reach a complete contestable status from an eco-centric perspective. This study provides practical policy implications for OECD countries to self-evaluate each country's macroscopic policy direction in the energy sector, and to ultimately pursue synthetic energy justice with a balanced perspective for our environment and us.
      Citation: Energy & Environment
      PubDate: 2023-04-03T06:15:03Z
      DOI: 10.1177/0958305X231167466
       
  • Effect of green bonds, oil prices, and COVID-19 on industrial CO2
           emissions in the USA: Evidence from novel wavelet local multiple
           correlation approach

    • Free pre-print version: Loading...

      Authors: Tomiwa Sunday Adebayo, Mustafa Tevfik Kartal
      Abstract: Energy & Environment, Ahead of Print.
      This study explores the effect of green bonds, oil prices, and the coronavirus disease 2019 (COVID-19) pandemic on industrial carbon dioxide (CO2) emissions. In this context, this study examines the United States of America (USA), which is the biggest economy in the world, uses weekly data between March 6, 2020 and September 30, 2022, and applies a novel wavelet local multiple correlation (WLMC) approach under time-varying and frequency-varying perspective. The novel empirical findings shows that (i) there is a strong negative (positive) co-movement between industrial CO2 emissions and green bonds in the short-run (long-run); (ii) there is a strong positive (negative) co-movement between industrial CO2 emissions and oil price in the medium-run (long-run); (iii) there is a strong negative (positive) co-movement between industrial CO2 emissions and the COVID-19 pandemic in the medium-run (long-run); (iv) the oil price is the dominant factor, whereas there are changing effect of the variables on each other at different times and frequencies; and (vi) overall, there are long-run asymmetric and dynamic correlations between industrial CO2 emissions and variables. Hence, the empirical results highlight the asymmetric, time-varying, and frequency-varying effects of green bonds, oil prices, and the COVID-19 pandemic on industrial CO2 emissions by presenting fresh and novel evidence. Moreover, the study proposes policy implications for the USA government.
      Citation: Energy & Environment
      PubDate: 2023-03-31T05:22:16Z
      DOI: 10.1177/0958305X231167463
       
  • Assessing the nexus between corporate social responsibility and
           environmental performance: A way forward towards sustainable development

    • Free pre-print version: Loading...

      Authors: Yongrong Xin, Azer Dilanchiev, Guluzada Esmira, Fengyi Ai
      Abstract: Energy & Environment, Ahead of Print.
      Although the Chinese government has effectively enacted green policies to address climate challenges, the country's heavy reliance on fossil fuels has made these problems serious barriers to China's sustainable growth. This study analyzes data from 653 Chinese manufacturing companies and examines the relationship between corporate social responsibility and environmental performance. The suggested hypotheses have been investigated by employing structural equation modeling. The results showed that there is no direct association between corporate social responsibility and the environmental performance of manufacturing firms. In comparison, it is linked to green transformational leadership and green innovation that improves environmental performance. Furthermore, the results showed that the link between corporate social responsibility and environmental performance is mediated by green innovation and green transformational leadership. The study's results provide managers and decision-makers in manufacturing businesses with critical knowledge on managing corporate social responsibility, green innovation, and green transformational leadership. Increasing internal resources to improve environmental performance may be advantageous to general managers of big manufacturing enterprises.
      Citation: Energy & Environment
      PubDate: 2023-03-31T05:20:46Z
      DOI: 10.1177/0958305X231164691
       
  • Impact of financial development, trade flows, and institution on
           environmental sustainability in emerging markets

    • Free pre-print version: Loading...

      Authors: Festus Victor Bekun, Bright Akwasi Gyamfi, Cihat Köksal, Amjad Taha
      Abstract: Energy & Environment, Ahead of Print.
      The present study is motivated by the need to decouple economic growth from environmental degradation given the new wave of chase for higher economic growth trajectories comes with its environmental cost implications, especially among developing blocs like the Emerging 7 (E7) countries. There is a consistent trade-off between economic growth versus environmental quality. Government apparatus are perpetually on the chase for low-carbon emission policies via the pursuit for green economy. To this end, this present study extends the conventional environmental Kuznets curve (EKC) argument by incorporating the role of institution in emerging industrialized economies (E7) and using second-generation panel analysis methods like mean group (MG), augmented mean group (AMG), common correlated effects mean group (CCEMG), and the Dumitrescu and Hurlin causality test for more robust estimates and inferences. To this end, we explore the long-run and causality relationship between economic growth, quadratic form of economic growth, institutional quality, trade flow, investment in energy sector, and financial development in an EKC environment. Empirical analysis established a long-run equilibrium relationship among the outlined variables over the study period. The long-run regression shows the presence of EKC in the E7. Thus, suggesting the preference for GDP growth over environmental quality at the earlier stage of growth curve. Interestingly, investment in energy, trade flow dynamics across the blocs, and financial development dampens the detrimental effect of environmental pollution as we observed negative relationship with the ecological footprint. On the contrary, quality of institution is weak as institutional quality increase (worsen) the quality of environment in the E7 economies. From a policy perspective, this current study proposed the need for more stringent environmental treaties and regulations and promotion of green economy without compromising economic growth. In the conclusion part of the study, more details and specifics about the policy blueprint are presented.
      Citation: Energy & Environment
      PubDate: 2023-03-24T05:34:41Z
      DOI: 10.1177/0958305X221147603
       
  • Scrutinizing the role of renewable energy and patents in pollution
           abatement and economic growth in South Korea

    • Free pre-print version: Loading...

      Authors: Sana Ghorbal, Slim Ben Youssef
      Abstract: Energy & Environment, Ahead of Print.
      South Korea is considered one of the leading countries in innovation and research and development (R&D), in particular in renewable energy R&D efforts, but it is also one of the more polluting countries. So, understanding the interplay between these variables is of great interest. The main objective of this article is to examine the relationship between carbon dioxide (CO2) emissions, economic growth (GDP), renewable energy consumption (RE), foreign direct investment (FDI), home patents (HP), and foreign patents (FP) in South Korea using data ranging from 1980 to 2018. For this purpose, the autoregressive distributed lag (ARDL) approach and Granger causality tests were employed. Estimates of long-run elasticity point to a positive relationship between GDP and CO2 emissions. FP and RE have a negative influence on CO2 emissions but they have a favorable effect on GDP. FDI and HP have positive impacts on CO2 emissions. Granger causality outcomes demonstrate that CO2 emissions, GDP, RE, and FP have long-term bidirectional causal relationships. In the short-run, there are unidirectional causalities running from FP and FDI to RE and from FDI and HP to GDP. Besides, there is a bidirectional causality between GDP and RE. South Korea should continue to promote renewable energies and facilitate the use of foreign patents, particularly those relating to renewable energies. This will lead to a reduction in its carbon emissions while benefiting its economic growth.
      Citation: Energy & Environment
      PubDate: 2023-03-24T04:49:52Z
      DOI: 10.1177/0958305X231164685
       
  • Re‐examining the impact of global foreign direct investment (FDI)
           inflows on haze pollution—considering the moderating mechanism of
           environmental regulation

    • Free pre-print version: Loading...

      Authors: Ronghui Xie, Shengjie Zhang
      Abstract: Energy & Environment, Ahead of Print.
      One important and frequently raised issue about foreign direct investment (FDI) is its potentially environmental consequences. In recent years, as severe haze pollution has broken out worldwide, whether FDI inflows increase PM2.5 spillages in a country has sparked a new round of heated discussion. This study attempts to empirically investigate how FDI affects haze pollution in various countries, by employing a cross-country panel dataset during the period 2010–2017, and further to examine the interactive effect of environmental regulation and FDI in the FDI–pollution nexus. Based on a two-way fixed-effects model with robust standard errors, the estimation results show that FDI inflows significantly lead to an increase in PM2.5 exposure, therefore, confirming the validity of the Pollution Haven Hypothesis. Moreover, environmental regulation generally appears to be ineffective in directly reducing haze pollution but acts as an essential underlying mechanism in the relationship between FDI and haze pollution. Under the moderation of environmental regulation, the positive marginal effect of FDI on PM2.5 continues to decrease until it becomes negative. The findings suggest that countries, especially developing countries and emerging economies should consider a mix of policies to manage its inward FDI to achieve sustainable development in the post-financial crisis era.
      Citation: Energy & Environment
      PubDate: 2023-03-23T06:51:43Z
      DOI: 10.1177/0958305X231164679
       
  • The relationship between cooking fuel and health status from the
           perspective of income heterogeneity: Evidence from China

    • Free pre-print version: Loading...

      Authors: Zhiming Yang, Xijie Zhuang, Jiuling Li, Guanghui Zhang, Yunquan Zhang, Lifu Fu, Chengyou Li
      Abstract: Energy & Environment, Ahead of Print.
      The health risks of cooking with solid fuels are widespread, especially among low-income people. Therefore, we decide to explore the impact of cooking fuel on the physical and mental health of Chinese residents and the heterogeneity of effects across income groups. This study estimates the potential relationship between household air pollution and health status by using data from the China Family Panel Studies (CFPS). Household air pollution is measured by different types of cooking fuels, and health status is evaluated from the perspective of respondents’ self-ratings of health, mental health, and interviewer-assessed health. The data comprises more than 100,000 samples between 2012 and 2019. We employ a Hierarchical Linear Model to infer the potential impact of household air pollution caused by cooking fuel on residents’ health. After adjusting control variables, we find cleaner cooking fuels such as solar energy and biogas are more conducive to residents’ health status. Our findings manifest that cleaner fuels and lower exposure to household air pollution are better for residents’ health. Low-income households are more likely to be affected by household air pollution. This study emphasizes the consequence of the potential health effects on residents due to household air pollution from cooking fuels and the uneven distribution of those effects. It is recommended that such factors as household air pollution risks, health, and environmental fairness and justice should be considered in the policy formulation process.
      Citation: Energy & Environment
      PubDate: 2023-03-23T06:26:54Z
      DOI: 10.1177/0958305X231164689
       
  • How consumers value improving energy efficiency policy in the electricity
           market: A contingent valuation experiment in South Korea

    • Free pre-print version: Loading...

      Authors: Solji Nam, Jungwoo Shin, Bum Il Hong
      Abstract: Energy & Environment, Ahead of Print.
      Global warming concerns have emphasized the need for carbon neutrality. Improving the efficiency of the electricity industry is one method of reducing CO2 emissions. There is a demand response policy that trades the saved electricity through voluntary adjustment of consumption patterns. The introduction of real-time pricing (RTP) based on advanced power supply systems is a method of transitioning to a demand-oriented power system. However, as Korea's power supply system is a relatively less efficient single-rate system, it is necessary to improve the efficiency of demand management. To transition to a demand-oriented power system in Korea, consumer preference is first investigated. This study evaluates the willingness to pay (WTP) for the introduction of RTP in Korea. Based on a survey of 500 households using the contingent valuation method, the monthly average WTP was found to be 2465 Korean won per household ($2.18 per household), which is approximately 7.8% of the electricity rate. Several additional factors influencing WTP were analyzed. Further analysis indicated that it is more effective to establish infrastructure for introducing RTP in local areas with low average electricity rates. These findings are beneficial for the development of future demand response policies.
      Citation: Energy & Environment
      PubDate: 2023-03-22T06:39:31Z
      DOI: 10.1177/0958305X231164684
       
  • Foreign direct investment, development strategy, and green innovation

    • Free pre-print version: Loading...

      Authors: Hanhua Shao, Xinpeng Huang, Huwei Wen
      Abstract: Energy & Environment, Ahead of Print.
      In developing countries, foreign direct investment (FDI) plays a significant role in industrial catch-up concerning knowledge acquisition and technological innovation. The Chinese government's development strategy is vital in attracting FDI and green innovation (GI). This article investigates the moderating role of development strategy in the causal relationship between FDI and GI from the perspective of new structural economics. We find a U-shaped association between FDI and GI. Specifically, FDI inhibits GI at its low level, and FDI promotes GI with the accumulation of FDI capital. Therefore, cities with moderate catch-up strategies can maximize the impact of FDI on GI. Development strategies can also hinder the effects of FDI-driven GI in cities with a perfect market system while promoting them in cities with relatively backward, cleaner production technology. The development strategy not only has an impact on the FDI-driven GI effects in the region but also on the FDI-driven GI effects in the surrounding regions through the spatial spillover effect. These findings provide references on what type of FDI the government should introduce and how to guide the market to bring the GI effect of FDI into play.
      Citation: Energy & Environment
      PubDate: 2023-03-22T06:38:31Z
      DOI: 10.1177/0958305X231164674
       
  • Assessing sustainable development with the forces of technological
           innovation, entrepreneurial activity and energy consumption: Insight from
           asymmetric and bootstrap causality methods

    • Free pre-print version: Loading...

      Authors: Sadam Hussain, Edmund Ntom Udemba, Firat Emir, Nazakat-Ullah Khan, Wathek Chammam, Anis Riahi
      Abstract: Energy & Environment, Ahead of Print.
      This is a sustainable study of China amidst high carbon emissions. China has experienced tremendous increase in its economic operations and development which involve the excessive utilization of fossil fuel energy sources. This has put China in the list of nations that contribute towards global warming via carbon emission. On this note, data from China over the period 2002Q1–2019Q4 is analyzed, using multiple techniques (nonlinear autoregressive distributed lag-NARDL, fully modified ordinary least square-FMOLS, and bootstrap approach of Granger causality) for clear insight into China's sustainable development. Relevant instruments (technological innovation, entrepreneurial activities, economic growth proxied by GDP, fossil fuel energy consumption, and FDI) are used to measure China's economic and environmental performance to determine the level of sustainable development of the country. NARDL and FMOLS results reveal that technological innovation and entrepreneurial activity mitigate carbon emissions, while fossil fuels and economic growth induce China's carbon emissions. Also, findings from the bootstrap approach affirm the NARDL and FMOLS outcomes, with both two-way and one-way nexus established among the selected variables. Policies targeting the reduction of fossil fuel consumption in China despite the technological innovations and entrepreneurial activities are thus recommended.
      Citation: Energy & Environment
      PubDate: 2023-03-22T06:36:52Z
      DOI: 10.1177/0958305X231159442
       
  • Environmental regulations, fiscal decentralization, and health outcomes

    • Free pre-print version: Loading...

      Authors: Feng Wang, Seemab Gillani, Rabia Nazir, Asif Razzaq
      Abstract: Energy & Environment, Ahead of Print.
      A complete understanding of the interplay between environmental regulations and fiscal decentralization for the realization of health outcomes is crucial for policy formulation and decision-making. The aim of the study is to investigate both policy variables’ separate and combined impacts using data on four BRICS economies from 2000 to 2020. The study has employed the novel method of moments quantile regression to quantify the effect. The findings of the study show (i) a significant impact of regulations on health outcomes in higher quantiles. Environmental regulations have a strong positive impact on all three-health proxies, that is, health expenditures, life expectancy, and the number of infant deaths. Total revenue and expenditure decentralization affect health outcomes positively, while tax revenue decentralization negatively impacts them, with the effect being stronger in the lower quantiles; (ii) the combined impact of decentralization and environmental regulations turned out to be negative and significant in our study; and (iii) all variables have unidirectional causality. However, with tax revenue decentralization, health expenditures, life expectancy, and infant deaths have bidirectional causality. This finding has a strong policy implication for the policymakers. Although both policies positively impact health indicators, their interaction leads to deteriorating health outcomes. From a policy point of view, it is suggested to strike a balance between regulations and fiscal decentralization to realize the full potential of this policy mix to get better health outcomes. This study adds to previous research by incorporating the interconnected impact of environmental regulations and fiscal decentralization on health outcomes in BRICS economies.
      Citation: Energy & Environment
      PubDate: 2023-03-21T07:36:04Z
      DOI: 10.1177/0958305X231164680
       
  • Energy-saving effect of financial development and its dynamic
           heterogeneity: Empirical evidence from the dynamic panel quantile model

    • Free pre-print version: Loading...

      Authors: Xiaorui Liu, Wen Guo, Yuyu Chen, Qiang Feng, Xiutian Zheng
      Abstract: Energy & Environment, Ahead of Print.
      The energy-saving effect of financial development is directly related to the formulation and implementation of financial policies. Considering the inertial characteristics of energy consumption, this study tested the energy-saving effect of financial development and examined its heterogeneity in terms of low-carbon cleaning and policy change. The results were as follows: First, when energy consumption was at the lower quantile, as consumption increased, the promoting impact of financial development on energy consumption decreased. When energy consumption was at the upper quantile, as consumption increased, the restraining impact of financial development on energy consumption increased. Second, an increase in the quantile level showed that financial development exerted an increasingly stronger influence on promoting clean energy consumption. When non-clean energy consumption was at the upper quantile, financial development exerted an increasingly strong inhibitory effect on non-clean energy consumption. Third, before green credit policy changed, the energy-saving effect of financial development was not widespread and obvious. After green credit policy changed, the restraining impact of financial development on energy consumption increased with the level of consumption. Fourth, after green credit policy changed, compared with the increase of financial development toward promoting clean energy consumption, the inhibitory effect of financial development on non-clean energy consumption significantly improved relative to the second case.
      Citation: Energy & Environment
      PubDate: 2023-03-21T06:00:50Z
      DOI: 10.1177/0958305X231164686
       
  • Navigating the asymmetric influence of financial inclusion on
           environmental sustainability: Dynamic role of energy consumption and human
           capital

    • Free pre-print version: Loading...

      Authors: Arsalan Tanveer, Huaming Song, Muhammad Faheem, Abdul Daud, Noreen Safdar
      Abstract: Energy & Environment, Ahead of Print.
      Due to the adoption of more financial inclusion (FI), energy utilization with sustainability became a challenge for world economies. Our research examines whether FI symmetrically and asymmetrically affects environmental sustainability in Pakistan. Six proxies are indexed for the FI data through principal component analysis (PCA). In the present research explanatory variables are, energy usage, industrialization, urbanization, and human capital during from 1975 to 2018. Our study engaged the Stochastic Impact by Regression on Population, Affluence, and Technology Approach (STIRPAT). Additionally, the econometric strategy is adopted for the empirical analysis to acquire the symmetric and asymmetric outcomes. The empirical result validates the asymmetric association of FI and carbon dioxide (CO2) emanations in short and long lags. Besides, fossil energy utilization, industrialization, and urbanization smoothen the path of environmental pollution. However, human capital significantly aids in reducing carbon pollution in the short and long terms. The policy makers can practically implement the research to utilize FI effectively to improve environmental sustainability and develop policies that discourage fossil energy utilization. Moreover, we pointed out the alarming situation of dealing with harmful emissions from urbanization and industrialization.
      Citation: Energy & Environment
      PubDate: 2023-03-21T05:56:34Z
      DOI: 10.1177/0958305X231159439
       
  • Thermal performance evaluation of parabolic trough collector having
           different inserts and working with hybrid nanofluid

    • Free pre-print version: Loading...

      Authors: Oveepsa Chakraborty, Biplab Das, Rajat Gupta
      Abstract: Energy & Environment, Ahead of Print.
      This study emphasizes the comparative investigation of the thermal capacity of parabolic solar trough collectors with spherical-shaped balls and two types of elliptical inserts (longitudinal orientation). Hybrid nanofluid is the heat-carrying liquid obtained by mixing CuO and Al2O3 nanoparticles in distilled water. Analytical investigations are conducted for 1% vol. concentration of hybrid nanoparticles in distilled water for varying proportions. Computational analysis is chosen to obtain thermal as well as flow trends in the tube receiver. The outcomes disclosed that 13.3%, 10.02%, and 16% improvements are noted for thermal efficiency, Nusselt number, and thermal performance index with elliptical inserts of minor diameter 12 mm in the receiver, respectively, than spherical ball inserts. The highest pump work of 35 W is associated with spherical inserts at 0.033 kg/s.
      Citation: Energy & Environment
      PubDate: 2023-03-15T08:13:57Z
      DOI: 10.1177/0958305X231156407
       
  • A new city's water–energy nexus implications: The case of Sejong
           City in South Korea

    • Free pre-print version: Loading...

      Authors: Jae-Ho Yoo, Hana Kim
      Abstract: Energy & Environment, Ahead of Print.
      Cities’ impact on water, energy, and greenhouse gas (GHG) emissions is increasing as the world becomes more urbanized. Focusing on Sejong City, which was developed as a new administrative hub in South Korea in 2012, this study scrutinizes its development path from water–energy nexus perspective by developing a system dynamics model that describes the interactions among numerous components related to water and water-related energy consumptions. Furthermore, this study reimagines the city's potential development trajectories by constructing nine policy scenarios that combine different degrees of water conservation ambitions with different amounts of decarbonization in the power sector. The results confirmed the potential of water conservation policies. The expansion of rainwater use has the potential to cut water use by 50% from the 2050 baseline levels. Although the use of harvested rainwater is negligible compared to wastewater reuse, its overall effect on water conservation would be substantial if it is increased. The maximum reduction in GHG emissions from the water sector would be 9.36% from the 2050 baseline scenario when combined with decarbonizing the power sector. Although this study does not fully account for the water conservation potential, including the efforts at the end-use stages, the possibility of carbon neutrality in Sejong's water sector by 2050 is presented. It affirms that local governments can significantly reduce cities’ environmental footprints and complement national efforts for the transition to a carbon-neutral society.
      Citation: Energy & Environment
      PubDate: 2023-03-10T07:04:20Z
      DOI: 10.1177/0958305X231155493
       
  • How can we make an orderly transition away from fossil fuels' A global
           tour of modern energy

    • Free pre-print version: Loading...

      Authors: Xiaoyi Li
      Abstract: Energy & Environment, Ahead of Print.
      This paper analyzes the economic, social and political three-dimensional driving effects of new energy substitution for fossil energy under the joint action of market, government and international competition from three perspectives: profit motive, mutual benefit and responsibility motive, combined with the relevant data of 78 countries from 1965 to 2021. The results show that fossil energy prices and energy security positively influence the process of new energy substitution, and environmental pollution negatively affects the process of new energy substitution, and the pushback effect of energy security on new energy substitution is more significant in the study interval, indicating that at the beginning of the new energy revolution, global environmental governance and willingness to reduce emissions drive the development of new energy industry, but the “carbon emission reduction” of each country has increased the complexity of new energy substitution, especially in some developed countries in taking responsibility for global environmental governance divergent views. Further heterogeneity analysis reveals that each country’s energy strategy affects the degree of substitution of “quality” and “quantity” of new energy, and the speed, areas and corrective ability of new energy development vary among countries under different strategic choices.
      Citation: Energy & Environment
      PubDate: 2023-03-08T06:36:39Z
      DOI: 10.1177/0958305X231161300
       
  • Performance investigation on novel combined power generation and
           refrigeration system

    • Free pre-print version: Loading...

      Authors: G Uma Maheswari, N Shankar Ganesh, Tangellapalli Srinivas, Bale Viswanadha Reddy
      Abstract: Energy & Environment, Ahead of Print.
      This article aims to examine a novel combined power and refrigeration system, using renewable and waste heat sources suitable for low-temperature applications. The present system is an integrated Kalina cycle and ejector refrigeration system to generate power and refrigeration simultaneously. To improve the vapour generation, the separator vapour fraction is used as a decision variable. Relative irreversibility and efficiency defect as two important parameters considered in this system for an investigation to identify the weaker components. The combined system generates power and refrigeration with two different mediums by the incorporation of the heat exchanger at the turbine exhaust. The novel system's energy and conventional exergy evaluation are carried out through Python Software. The optimum values of decision variables: turbine concentration, separator vapour fraction, entrainment ratio, expander ratio, split ratio and turbine concentration are identified using Python software from an opted range of variables. The maximum value of net power output, first law efficiency for power generation system, combined system, second law efficiency for power generation system, combined system, refrigeration effect and coefficient of performance are obtained as 113 kW, 8.85%, 11.83%, 93.44%, 81.29%, 38.07% and 0.118, respectively, at higher separator vapour fraction. Among the components considered in the combined power generation system, the condenser and LTRGN account for the higher exergy destruction rate of 30.41% and 25.53%. The coefficient of performance is maximized at a higher value of the refrigeration effect. The turbine pressure at the inlet is increased with increments in turbine work on choosing the higher value of the expander ratio. The higher exergetic value components are not emphasized to focus on improvement.
      Citation: Energy & Environment
      PubDate: 2023-03-06T06:49:51Z
      DOI: 10.1177/0958305X231159448
       
  • Natural resource rent, financial globalization, and environmental
           degradation: Evidence from a resource rich country

    • Free pre-print version: Loading...

      Authors: Seyi Saint Akadiri, Godwin Olasehinde-Willams, Ilham Haouas, Gold Olamide Lawal, Ayodeji Samson Fatigun, Yetunde Sadiq-Bamgbopa
      Abstract: Energy & Environment, Ahead of Print.
      This paper examines the role of financial globalization and natural resource rents on carbon emissions in the case of Nigeria from 1970 to 2020 using Breitung-Candelin Spectral Granger-causality and wavelet coherence analysis. The spectral analysis decomposes variability in a time series into its periodic components, which is preferable for series that are short-spanned, nonlinear, or are characterized by seasonal and economic episodes, while the wavelet coherence analysis could produce localized decompositions both in time and frequency domains. Using these techniques, we find a one-way causal effect running from financial globalization and natural resource rents to carbon emissions within the specified scale and time. Financial globalization and natural resource rents are useful for predicting environmental degradation in Nigeria. Thus, policymakers should factor in financial globalization and natural resource rent when formulating environmental policies to mitigate climate change effect for the immediate and future generations. Financial penetration should be channeled toward green investment. The deposit money banks should provide and prioritize credit only to firms and individuals that consider investing in modern and clean technologies, while the policy on exploration and exploitation of natural resources should review to attract foreign investors that would improve the existing technologies or bring in energy-efficient and energy-saving ones.
      Citation: Energy & Environment
      PubDate: 2023-03-06T06:48:17Z
      DOI: 10.1177/0958305X231159446
       
  • Performance prediction of a clean coal power plant via machine learning
           and deep learning techniques

    • Free pre-print version: Loading...

      Authors: Mariana Haddadin, Omar Mohamed, Wejdan Abu Elhaija, Mustafa Matar
      Abstract: Energy & Environment, Ahead of Print.
      Computer simulation of energy resources has led to significant achievements in the interdisciplinary fields of energy and environment. Apart from renewable resources, fossil-fuel power generation plants can be made cleaner to satisfy the future climate targets while keeping secure and stable grid. Clean coal power plants are still among the dominant options for power generation, which are committed through energy-efficient operation, carbon capture and storage, or combination of both strategies. On the other hand, machine learning and deep learning techniques have a leading integrity in the field of simulation. This paper presents accurate models of a cleaner coal-fired supercritical (SC) unit using two types of artificial neural network, which are Elman neural network (ENN) and generalized regression neural network (GRNN). The models newly embed higher coverage range and more accurate results than previously published models. Each subsystem of the models has been structured as a multi-input single-output (MISO) component to predict the behavior of significant variables in the plant, mainly the supercritical pressure in MPa, the steam temperature in °C and the production in MW. Those variables have been intentionally selected as they are clear indicators for the energy-efficient and cleaner production. Simulation results of four sets of data have indicated satisfactory performance of both models with a bit higher superiority of the GRNN that has given negligible or zero Mean Squared Error (MSE) for all outputs, whereas the minimum MSE of the deep ENN is 3.131  ×  10−3.
      Citation: Energy & Environment
      PubDate: 2023-03-02T06:02:32Z
      DOI: 10.1177/0958305X231160590
       
  • Improved performance of biopolymer composite electrolyte based cellulose
           acetate/Zinc Oxide filler for supercapacitors

    • Free pre-print version: Loading...

      Authors: Mohd Sadiq, M. Ajmal Khan, Mohammad Moeen Hasan Raza, Mohammad Zulfequar, Javid Ali
      Abstract: Energy & Environment, Ahead of Print.
      Biopolymer composite electrolytes consisting of cellulose acetate and magnesium perchlorate with different weight percent (wt.%) of Zinc Oxide fillers were prepared using the standard solution cast technique. The effect of incorporating various amounts of ZnO fillers in our composite electrolytes was investigated for their electrical and structural properties, and ion transference numbers. The ionic conductivity of 40 wt.% ZnO filler was found to be 8.75× 10−4 S/cm at 30 °C along with a 4.2 V electrochemical stability window. The ion transference number has been found to be 0.97 for CA + 40 wt.% of Mg(ClO4)2 + 40 wt.% with ZnO fillers. Furthermore, the electrochemical performances of the prepared electrolytes have also been investigated. The fabricated cell with this electrolyte shows an enhanced energy and high-power density of 2.78 Wh/Kg and 1000 W/Kg, respectively. An increase in the above-mentioned densities may be attributed to the high ionic conductivity ZnO fillers in the biopolymer matrix. Additionally, it shows 100% capacitance retention along with high coulombic efficiency after the 129th cycle.
      Citation: Energy & Environment
      PubDate: 2023-03-02T06:02:14Z
      DOI: 10.1177/0958305X231159443
       
  • Transportation taxes and CO2 emissions nexus in BCIST economies:
           Implication for environmental sustainability

    • Free pre-print version: Loading...

      Authors: Muhammad Tayyab Sohail, Sana Ullah, Muhammad Tariq Majeed
      Abstract: Energy & Environment, Ahead of Print.
      The BCIST economies have reinforced their identity as an emerging power in the fields of environmental technology and green transportation. The green transport sector undoubtedly plays an important role in green growth but also reduces CO2 emissions. The present study's objective is to examine the impact of transportation taxes on CO2 emissions in a comparative setting for BCIST economies in periods ranging from 1991 to 2019 by employing the nonlinear ARDL approach. The finding shows that transportation taxes are also a vital asymmetric determinant of CO2 emissions. An upsurge in transportation taxes lowers CO2 emissions in China, India, South Africa, and Turkey, while a decrease in transportation taxes intensifies carbon emissions in Brazil, China, and India in the long term. More transportation taxes limit CO2 emissions in South Africa as well as China in the short run. The findings of the study have some important economy-wise policy implications and permit a new direction for further research.
      Citation: Energy & Environment
      PubDate: 2023-03-01T06:05:24Z
      DOI: 10.1177/0958305X231159445
       
  • Global value chains and environment performance: Insights from global
           database

    • Free pre-print version: Loading...

      Authors: Tran Thi Mai Hoa, Le Thanh Ha, Nguyen Thi Thanh Huyen, Nguyen Thi Thu Ha, Tran Anh Ngoc
      Abstract: Energy & Environment, Ahead of Print.
      Our article is the first attempt to investigate the association between global value chains (GVC) and environmental performance (EP). We employ two dimensions, including human health's and ecosystem's protection, to capture the EP, while GVC is classified backward and forward based on the foreign and domestic value-added to the total exports. By applying the formal empirical estimation procedure to a global sample of 30 low-income and lower-middle-income and 27 upper-middle-income and 33 high-income countries during the 2000 to 2018 period, some key findings are highlighted. Our estimates emphasize the importance of GVCs on EP through their influences on environmental health and ecosystem vitality. By distinguishing between the effects of different types of GVC, we reveal that being engaged in forward GVC plays a more critical role in improving the environment than backward GVC. By studying the short-run and long-run effects, our study suggests that the GVC involvement has adverse effects in the short term, but positive results appear in the long term. Notably, the investigation into the mechanism of the GVC-EP nexus provides empirical evidence to explain how being included in GVCs affects the environment and sustainability of a country. Finally, our study indicates that there are heterogenous effects of GVC on EP and these effects are conditional on a country's income level. It is more likely that the impacts of GVC become more pronounced for high-income countries.
      Citation: Energy & Environment
      PubDate: 2023-02-28T05:29:44Z
      DOI: 10.1177/0958305X221146952
       
  • CO2 hydrogenation over cubic yttrium oxide support: Effect of metal type

    • Free pre-print version: Loading...

      Authors: Radwa A. El-Salamony, Sara A. El-Sharaky, Seham A. Al-Temtamy, Ahmed M. Al-Sabagh, Hamada M. Killa, Said A. Said
      Abstract: Energy & Environment, Ahead of Print.
      CO2 methanation is an effective strategy for making full use of waste gases and converting them into valuable chemicals. Nowadays, the key challenge is the design of efficient catalysts to enhance low-temperature catalytic performance. The present work studies the effect of metal type on the catalytic performance of yttrium oxide-supported catalysts for CO2 methanation reaction. Ru/Y2O3, Ni/Y2O3, and Co/Y2O3 catalysts were prepared by wetness incipient impregnation method, characterized using N2-adsorption/desorption isotherm, XRD, FTIR, and H2-TPR and TGA techniques to evaluate the surface, crystal phase, and thermal stability. The catalytic test was conducted with the use of a fixed-bed reactor under atmospheric pressure. The temperature of catalytic performance was 350 °C with a supply of H2: CO2 molar ratio of 4 and a total flow rate of 200 mL/min. The main products of the reaction were CH4, and traces of carbon monoxide were present among the products. The methane yield reached 64.67%, 60.03%, and 50.82% over Ru/Y2O3, Ni/Y2O3, and Co/Y2O3 catalysts, respectively.
      Citation: Energy & Environment
      PubDate: 2023-02-27T12:43:28Z
      DOI: 10.1177/0958305X231159444