Subjects -> ENVIRONMENTAL STUDIES (Total: 913 journals)
    - ENVIRONMENTAL STUDIES (810 journals)
    - POLLUTION (31 journals)
    - TOXICOLOGY AND ENVIRONMENTAL SAFETY (54 journals)
    - WASTE MANAGEMENT (18 journals)

ENVIRONMENTAL STUDIES (810 journals)                  1 2 3 4 5 | Last

Showing 1 - 200 of 378 Journals sorted alphabetically
ACS Chemical Health & Safety     Hybrid Journal   (Followers: 4)
ACS Environmental Au     Open Access   (Followers: 10)
ACS ES&T Engineering     Hybrid Journal   (Followers: 3)
Acta Brasiliensis     Open Access  
Acta Ecologica Sinica     Open Access   (Followers: 9)
Acta Oecologica     Hybrid Journal   (Followers: 12)
Advanced Electronic Materials     Hybrid Journal   (Followers: 13)
Advanced Energy and Sustainability Research     Open Access   (Followers: 7)
Advanced Membranes     Open Access   (Followers: 6)
Advanced Sustainable Systems     Hybrid Journal   (Followers: 7)
Advances in Ecological Research     Full-text available via subscription   (Followers: 45)
Advances in Environmental Chemistry     Open Access   (Followers: 13)
Advances in Environmental Sciences - International Journal of the Bioflux Society     Open Access   (Followers: 17)
Advances in Environmental Technology     Open Access   (Followers: 2)
Advances in Life Science and Technology     Open Access   (Followers: 12)
Advances in Tropical Biodiversity and Environmental Sciences     Open Access   (Followers: 5)
Aeolian Research     Hybrid Journal   (Followers: 7)
Agricultura Tecnica     Open Access   (Followers: 2)
Agricultural & Environmental Letters     Open Access   (Followers: 4)
Agro-Science     Full-text available via subscription   (Followers: 2)
Agroecological journal     Open Access   (Followers: 1)
Agronomy for Sustainable Development     Open Access   (Followers: 19)
Agrosystems, Geosciences & Environment     Open Access   (Followers: 6)
Amazon's Research and Environmental Law     Open Access   (Followers: 4)
Ambiens. Revista Iberoamericana Universitaria en Ambiente, Sociedad y Sustentabilidad     Open Access  
Ambiente & sociedade     Open Access   (Followers: 2)
American Journal of Energy and Environment     Open Access   (Followers: 6)
American Journal of Environmental Engineering     Open Access   (Followers: 6)
American Journal of Environmental Protection     Open Access   (Followers: 5)
American Journal of Environmental Sciences     Open Access   (Followers: 9)
American Naturalist     Full-text available via subscription   (Followers: 80)
Animal - Open Space     Open Access   (Followers: 4)
Annals of Civil and Environmental Engineering     Open Access   (Followers: 1)
Annals of Environmental Science and Toxicology     Open Access   (Followers: 4)
Annals of GIS     Open Access   (Followers: 31)
Annual Review of Ecology, Evolution, and Systematics     Full-text available via subscription   (Followers: 83)
Annual Review of Environment and Resources     Full-text available via subscription   (Followers: 17)
Annual Review of Pharmacology and Toxicology     Full-text available via subscription   (Followers: 38)
Annual Review of Resource Economics     Full-text available via subscription   (Followers: 11)
Applied and Environmental Soil Science     Open Access   (Followers: 14)
Applied Ecology and Environmental Sciences     Open Access   (Followers: 29)
Applied Environmental Education & Communication     Hybrid Journal   (Followers: 17)
Applied Journal of Environmental Engineering Science     Open Access   (Followers: 1)
Aquatic Ecology     Hybrid Journal   (Followers: 42)
Aquatic Toxicology     Hybrid Journal   (Followers: 26)
Arcada : Revista de conservación del patrimonio cultural     Open Access  
Architecture, Civil Engineering, Environment     Open Access   (Followers: 4)
Archives des Maladies Professionnelles et de l'Environnement     Full-text available via subscription  
Archives of Environmental and Occupational Health     Hybrid Journal   (Followers: 10)
Archives of Environmental Contamination and Toxicology     Hybrid Journal   (Followers: 12)
Archives of Environmental Protection     Open Access   (Followers: 5)
Archives of Toxicology     Hybrid Journal   (Followers: 20)
Arctic Environmental Research     Open Access  
Asian Journal of Environment & Ecology     Open Access   (Followers: 2)
Asian Journal of Rural Development     Open Access   (Followers: 10)
Asian Review of Environmental and Earth Sciences     Open Access   (Followers: 2)
ATBU Journal of Environmental Technology     Open Access   (Followers: 1)
Atmospheric and Climate Sciences     Open Access   (Followers: 38)
Atmospheric Environment     Hybrid Journal   (Followers: 71)
Atmospheric Environment : X     Open Access   (Followers: 3)
Augm Domus : Revista electrónica del Comité de Medio Ambiente de AUGM     Open Access  
Austral Ecology     Hybrid Journal   (Followers: 17)
Australasian Journal of Environmental Management     Hybrid Journal   (Followers: 9)
Australasian Journal of Human Security     Full-text available via subscription   (Followers: 2)
Australian Journal of Environmental Education     Full-text available via subscription   (Followers: 10)
Basic & Clinical Pharmacology & Toxicology     Hybrid Journal   (Followers: 15)
Basic and Applied Ecology     Hybrid Journal   (Followers: 22)
Behavioral Ecology     Hybrid Journal   (Followers: 58)
Behavioral Ecology and Sociobiology     Hybrid Journal   (Followers: 36)
Biocenosis     Open Access  
Biochar     Hybrid Journal   (Followers: 1)
Biodegradation     Hybrid Journal   (Followers: 2)
Biodiversity     Hybrid Journal   (Followers: 29)
Biofouling: The Journal of Bioadhesion and Biofilm Research     Hybrid Journal   (Followers: 2)
Bioremediation Journal     Hybrid Journal   (Followers: 4)
BioRisk     Open Access   (Followers: 2)
Boletín Semillas Ambientales     Open Access  
Bothalia : African Biodiversity & Conservation     Open Access  
Built Environment     Full-text available via subscription   (Followers: 6)
Bulletin of Environmental Contamination and Toxicology     Hybrid Journal   (Followers: 10)
Bulletin of the American Meteorological Society     Open Access   (Followers: 64)
Bumi Lestari Journal of Environment     Open Access  
Canadian Journal of Earth Sciences     Hybrid Journal   (Followers: 22)
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 56)
Canadian Journal of Soil Science     Full-text available via subscription   (Followers: 12)
Canadian Water Resources Journal     Hybrid Journal   (Followers: 18)
Capitalism Nature Socialism     Hybrid Journal   (Followers: 22)
Carbon Capture Science & Technology     Open Access   (Followers: 1)
Carbon Resources Conversion     Open Access   (Followers: 2)
Case Studies in Chemical and Environmental Engineering     Open Access  
Cell Biology and Toxicology     Hybrid Journal   (Followers: 11)
Chain Reaction     Full-text available via subscription  
Challenges in Sustainability     Open Access   (Followers: 10)
Chemical Research in Toxicology     Hybrid Journal   (Followers: 22)
Chemico-Biological Interactions     Hybrid Journal   (Followers: 3)
Chemosphere     Hybrid Journal   (Followers: 19)
Child and Adolescent Mental Health     Hybrid Journal   (Followers: 71)
Chinese Journal of Environmental Law     Hybrid Journal   (Followers: 1)
Ciencia, Ambiente y Clima     Open Access   (Followers: 1)
City and Environment Interactions     Open Access   (Followers: 3)
Civil and Environmental Engineering     Open Access   (Followers: 7)
Civil and Environmental Engineering Reports     Open Access   (Followers: 4)
Civil and Environmental Research     Open Access   (Followers: 14)
CLEAN - Soil, Air, Water     Hybrid Journal   (Followers: 18)
Clean Technologies     Open Access   (Followers: 1)
Clean Technologies and Environmental Policy     Hybrid Journal   (Followers: 5)
Cleaner and Circular Bioeconomy (CLCB)     Open Access   (Followers: 5)
Cleaner Energy Systems     Open Access   (Followers: 3)
Cleaner Environmental Systems     Open Access   (Followers: 1)
Cleaner Production Letters     Hybrid Journal  
Cleaner Waste Systems     Open Access   (Followers: 4)
Cleanroom Technology     Full-text available via subscription   (Followers: 1)
Climate and Energy     Full-text available via subscription   (Followers: 10)
Climate Change Ecology     Open Access   (Followers: 29)
Climate Change Economics     Hybrid Journal   (Followers: 52)
Climate Policy     Hybrid Journal   (Followers: 60)
Climate Resilience and Sustainability     Open Access   (Followers: 34)
Coastal Engineering Journal     Hybrid Journal   (Followers: 9)
Cogent Environmental Science     Open Access  
Columbia Journal of Environmental Law     Open Access   (Followers: 14)
Computational Ecology and Software     Open Access   (Followers: 9)
Computational Water, Energy, and Environmental Engineering     Open Access   (Followers: 5)
Conservation and Society     Open Access   (Followers: 14)
Conservation Letters     Open Access   (Followers: 51)
Conservation Science     Open Access   (Followers: 29)
Consilience : The Journal of Sustainable Development     Open Access   (Followers: 2)
Contemporary Problems of Ecology     Hybrid Journal   (Followers: 4)
Critical Reviews in Environmental Science and Technology     Hybrid Journal   (Followers: 11)
Critical Reviews in Toxicology     Hybrid Journal   (Followers: 25)
Cuadernos de Investigación Geográfica / Geographical Research Letters     Open Access  
Culture, Agriculture, Food and Environment     Hybrid Journal   (Followers: 24)
Culture, Agriculture, Food and Environment     Hybrid Journal   (Followers: 8)
Current Environmental Health Reports     Hybrid Journal   (Followers: 2)
Current Forestry Reports     Hybrid Journal   (Followers: 1)
Current Landscape Ecology Reports     Hybrid Journal   (Followers: 3)
Current Opinion in Environmental Science & Health     Hybrid Journal  
Current Opinion in Environmental Sustainability     Hybrid Journal   (Followers: 14)
Current Research in Ecological and Social Psychology     Open Access   (Followers: 4)
Current Research in Environmental Sustainability     Open Access   (Followers: 4)
Current Research in Green and Sustainable Chemistry     Open Access   (Followers: 1)
Current Research in Microbiology     Open Access   (Followers: 20)
Current Sustainable/Renewable Energy Reports     Hybrid Journal   (Followers: 7)
Die Bodenkultur : Journal of Land Management, Food and Environment     Open Access  
Disaster Prevention and Management     Hybrid Journal   (Followers: 27)
Discover Sustainability     Open Access   (Followers: 3)
disP - The Planning Review     Hybrid Journal   (Followers: 1)
Drug and Chemical Toxicology     Hybrid Journal   (Followers: 13)
Duke Environmental Law & Policy Forum     Open Access   (Followers: 8)
E3S Web of Conferences     Open Access  
Earth and Environmental Science Transactions of the Royal Society of Edinburgh     Hybrid Journal   (Followers: 7)
Earth Interactions     Open Access   (Followers: 10)
Earth Science Informatics     Hybrid Journal   (Followers: 7)
Earth System Governance     Open Access   (Followers: 2)
Earth System Science Data (ESSD)     Open Access   (Followers: 9)
Earth Systems and Environment     Hybrid Journal   (Followers: 3)
Earthquake Science     Hybrid Journal   (Followers: 11)
EchoGéo     Open Access  
Eco-Environment & Health     Open Access   (Followers: 7)
Eco-Thinking     Open Access   (Followers: 2)
Ecocycles     Open Access   (Followers: 4)
Ecohydrology     Hybrid Journal   (Followers: 12)
Ecohydrology & Hydrobiology     Full-text available via subscription   (Followers: 5)
Ecologia Aplicada     Open Access  
Ecología en Bolivia     Open Access  
Ecological Applications     Full-text available via subscription   (Followers: 167)
Ecological Chemistry and Engineering S     Open Access   (Followers: 4)
Ecological Complexity     Hybrid Journal   (Followers: 8)
Ecological Engineering     Hybrid Journal   (Followers: 6)
Ecological Indicators     Hybrid Journal   (Followers: 22)
Ecological Informatics     Hybrid Journal   (Followers: 4)
Ecological Management & Restoration     Hybrid Journal   (Followers: 16)
Ecological Modelling     Hybrid Journal   (Followers: 74)
Ecological Monographs     Full-text available via subscription   (Followers: 38)
Ecological Processes     Open Access   (Followers: 2)
Ecological Questions     Open Access   (Followers: 5)
Ecological Research     Hybrid Journal   (Followers: 10)
Ecological Restoration     Full-text available via subscription   (Followers: 23)
Ecologist, The     Full-text available via subscription   (Followers: 22)
Ecology     Full-text available via subscription   (Followers: 396)
Ecology and Evolution     Open Access   (Followers: 103)
Ecology Letters     Hybrid Journal   (Followers: 277)
EcoMat : Functional Materials for Green Energy and Environment     Open Access  
Economics and Policy of Energy and the Environment     Full-text available via subscription   (Followers: 16)
Economics of Energy & Environmental Policy     Hybrid Journal   (Followers: 2)
Économie rurale     Open Access   (Followers: 3)
Ecoprint : An International Journal of Ecology     Open Access   (Followers: 4)
Ecopsychology     Hybrid Journal   (Followers: 7)
Ecosphere     Open Access   (Followers: 12)
Ecosystem Services     Hybrid Journal   (Followers: 8)
Ecosystems     Hybrid Journal   (Followers: 33)
Ecosystems and People     Open Access   (Followers: 4)
Ecotoxicology     Hybrid Journal   (Followers: 9)
Ecotoxicology and Environmental Safety     Hybrid Journal   (Followers: 10)
Ecotrophic : Journal of Environmental Science     Open Access  
Ecozon@ : European Journal of Literature, Culture and Environment     Open Access   (Followers: 3)
Éducation relative à l'environnement     Open Access  
Electronic Green Journal     Open Access   (Followers: 4)
Empowering Sustainability International Journal     Open Access   (Followers: 4)
Energy & Environment     Hybrid Journal   (Followers: 26)
Energy & Environmental Science     Hybrid Journal   (Followers: 37)

        1 2 3 4 5 | Last

Similar Journals
Journal Cover
Energy & Environment
Journal Prestige (SJR): 0.258
Citation Impact (citeScore): 1
Number of Followers: 26  
 
  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]
  • 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

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      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”

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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)
           

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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'

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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

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      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
       
  • Recent advancements in CaFe2O4-based composite: Properties, synthesis, and
           multiple applications

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      Authors: Nidhi Yadav, Md Ahmaruzzaman
      Abstract: Energy & Environment, Ahead of Print.
      Metal ferrites like nickel ferrite, copper ferrite, zinc ferrite, cobalt ferrite, and other ferrites are highly abundant and used as catalysts in various transformations. However, CaFe2O4 is the most abundant alkali metal ferrite, which is eco-friendly and non-toxic. CaFe2O4 is a superparamagnetic material that can be easily recovered from the reaction media due to its magnetic properties. Therefore, it has been widely used in numerous applications, such as dye degradation, removal of heavy metal ions, transesterification reaction, gas sensing, photocatalytic water splitting, drug delivery, etc. In this review, (1) magnetic properties and crystal structure of spinal CaFe2O4 are discussed, (2) potential applications of CaFe2O4 are discussed, and (3) various synthesis techniques of CaFe2O4 are demonstrated. CaFe2O4 shows photocatalytic properties due to its narrow band gap (1.9 eV), abundant functional group, and high surface area. It is found that CaFe2O4 possesses a remarkable potential for energy and environmental remediation. In this review, we have added the photocatalytic mechanism of various pollutants. At last, future perspectives are given for developing novel, sustainable CaFe2O4 or CaFe2O4-based nanocomposite.
      Citation: Energy & Environment
      PubDate: 2023-02-24T05:35:00Z
      DOI: 10.1177/0958305X231155491
       
  • A hybrid technique for grid-connected solar–wind hybrid system with
           electric vehicles

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      Authors: Bhanu Ponnapalli, K Lakshmikhandan, Kannan Palanisamy, Muthukumaran Sithambaram
      Abstract: Energy & Environment, Ahead of Print.
      This article proposes a hybrid technique for a grid-connected solar–wind hybrid system with electric vehicles. The Mexican Axolotl Optimization and wild horse optimizer are the proposed optimization techniques. The wild horse optimizer improves the axolotl's life behavior. As a result, the proposed scheme is conducted while reducing the annualized cost of the system and utilizing the proposed method. Using modern optimization approaches, the component is sized to achieve the lowest levelized cost of electricity by decreasing the loss of power supply probability. Lastly, the sensitivity analysis is performed to analyze the influence of maximum grid sales and buy capabilities on levelized cost of electricity. The proposed technique's performance is then executed in MATLAB environment and compared to several current methodologies. As a result of the simulation outcomes, the efficiency and performance of the current method are compared to other techniques. According to simulation outcomes, the energy management system (EMS) may lower general expenses by more than 55% and 29% in summer and winter, respectively, while ensuring the satisfaction rate of demand for electric vehicle-charging without knowing the departure times of electric vehicles.
      Citation: Energy & Environment
      PubDate: 2023-02-20T08:55:17Z
      DOI: 10.1177/0958305X231153933
       
  • Dynamic relationship between resource endowment, financial agglomeration,
           innovation-driven, and green total factor productivity

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      Authors: Xiangxue Li, Xingwei Li, Xiaowen Zhu, Yicheng Huang, Xiang Liu, Wendan Deng
      Abstract: Energy & Environment, Ahead of Print.
      As conflicts between emissions reductions and economic growth intensify, an increasing number of countries and regions are focusing on green total factor productivity (GTFP). Financial agglomeration (QWS), resource endowment (SE), and innovation-driven (ID) are the main factors that cause regional differences in GTFP. However, few scholars have comprehensively considered the impact of the interaction between SE, ID, and QWS on GTFP. This article uses the Global Malmquist-Luenberger (GML) index to calculate the GTFP of 30 Chinese provinces from 2003 to 2020 and constructs a dynamic panel model to present the first comprehensive study of the interactions between SE, ID, and QWS and their relationship with GTFP. The conclusions are as follows. (1) SE is positively correlated with GTFP, which is different from the “resource curse” theory proposed by existing research. (2) There is a crowding-out effect between SE and ID, and their interaction will restrain the growth of GTFP. (3) QWS promotes ID, and the interaction between the two promotes the growth of GTFP. (4) There is a restraining effect between QWS and SE, and their interaction will hinder the growth of GTFP. (5) The key policy directions to improve China's GTFP are to undertake strategic planning from a comprehensive perspective, including encouraging innovation, guiding financial development reasonably, and avoiding excessive consumption of resources.
      Citation: Energy & Environment
      PubDate: 2023-02-15T05:17:11Z
      DOI: 10.1177/0958305X231155495
       
  • An enhanced approach-based grid flexibility analysis for combined heat and
           power systems with variable renewable energy systems

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      Authors: C Kalaivani, L Umasankar, Chandrashekhar Badachi, K Karthikumar
      Abstract: Energy & Environment, Ahead of Print.
      An enhanced approach-based grid flexibility analysis for combined heat and power (CHP) systems with variable renewable energy systems is proposed in this article. The proposed system is the combined execution of White Shark Optimizer (WSO) and Pelican Optimization Algorithm (POA). The WSO approach updating behavior is enhanced by the POA approach hence named as enhanced WSO technique. The main purpose of the proposed technique is to provide the optimal grid flexibility by utilizing the CHP systems. Utilizing the proposed method, the demand for the sources is predicted in the year 2030. The proposed approach considers the optimization problem as a reduction of cost and analyzes the flexibility in both upward and downward directions. The sources like photovoltaic, wind turbine, hydropower plants, nuclear, and coal demand power are analyzed. Based on the seasons, the proposed approach analyzed the system flexibility. Finally, the performance of the proposed method is simulated in MATLAB/Simulink platform and the performance is compared to the various existing methods.
      Citation: Energy & Environment
      PubDate: 2023-02-15T04:03:28Z
      DOI: 10.1177/0958305X231153970
       
  • A critical review on the effective utilization of geothermal energy

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      Authors: Farrukh Jamil, Iqrash Shafiq, Asma Sarwer, Muhammad Ahmad, Parveen Akhter, Abrar Inayat, Sumeer Shafique, Young-Kwon Park, Murid Hussain
      Abstract: Energy & Environment, Ahead of Print.
      Rapid growth in the global population and associated elevated reliance on modern technology has resulted in increased demand for energy consumption. This has resulted in an increased focus on the development and generation of advanced sustainable energy systems. The swift implementation of sustainable renewable energy resource utilization and improvement in their efficiency by the modification of current technologies are the possible solutions that gave rise to the emergence of geothermal technology as a potential alternative. Geothermal technology is a non-carbon renewable energy resource that could be utilized efficiently to fulfil the energy demands while mitigating the climate change threat. According to the surveyed literature, the global geothermal energy power plant installation capacity has reached 14.3 GWe to successfully implement this sustainable alternative. In order to have a successful and uninterrupted way forward, it is essential to evaluate the constraints both in terms of technicality and economic feasibility to establish an approved framework. Moreover, the governance and monitoring regarding the social and environmental impact alongside the legal challenges should also be addressed. The significant barriers include increased capital cost, site selection, superiority of resources at diverse levels of rock bottoms, and obstruction from nearby residents that need to be addressed appropriately. As a result, policymakers will continue to seek measure that have least negative impact on environment.
      Citation: Energy & Environment
      PubDate: 2023-02-15T04:01:30Z
      DOI: 10.1177/0958305X231153969
       
  • How does information and communication technology affect carbon
           efficiency' Evidence at China's city level

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      Authors: Ge Li, Dao Gao, Xiao Xia Shi
      Abstract: Energy & Environment, Ahead of Print.
      Increasing carbon efficiency is a key path to sustainable development, and information and communication technology (ICT) may help realize a win-win situation for the economy and the environment. However, the existing literature on the impact of ICT on carbon efficiency is relatively shallow. Using a database of Chinese cities, this study empirically explores the role of ICT in carbon efficiency from the aspects of direct impact, mediation effect, and threshold effect. Results show that ICT significantly improves the carbon efficiency represented by single-factor and total-factor carbon efficiency. The mediation effect indicates that technological innovation, industrial structure upgrading, and external openness are effective ways for ICT to play its role. The threshold model shows that the promoting effect between the two depends on the local institutional environment. Further heterogeneity analysis shows that ICT plays a more remarkable role in promoting carbon efficiency in eastern regions. This study provides evidence for aggressively digitizing economies to shift towards a low-carbon economy. Policymakers are encouraged to consider better integrating ICTs into sustainable development strategies.
      Citation: Energy & Environment
      PubDate: 2023-02-14T07:33:17Z
      DOI: 10.1177/0958305X231156405
       
  • Assessing the effectiveness of environmental policies in the OECD
           countries: An advanced panel data estimation study

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      Authors: Jun Zhang, Samia Khalid, Hamid Mahmood
      Abstract: Energy & Environment, Ahead of Print.
      Due to the rapid increase in industrialization, environmental degradation has recently grown into a serious problem. The existing literature has mostly focused on the reduction of CO2 emissions and ignored PM2.5 emissions, which have a direct impact on the environment through air quality. Therefore, this study attempts to look into the effectiveness of environmental policies in determining environmental sustainability by lowering PM2.5 emissions in the Organization for Economic Cooperation and Development (OECD) countries. These are categorized as fiscal (green taxes), economic incentives, and research and development (R&D) investment policies. The second-generation panel co-integration method and Cross-Sectionally Autoregressive Distributed Lag (CS-ARDL) are employed for the period 1990–2019 to estimate the results. The Westerlund cointegration results confirmed a stable, long-run relationship between all the variables. The study shows that not all environmental regulations are equally successful in lowering PM2.5 emissions. According to the findings, R&D and fiscal policy help reduce PM2.5 emissions, whereas economic incentive strategies and population increase them. This shows that establishing green taxes on these emissions and developing green R&D policies will facilitate environmental sustainability. The overall findings let us classify some good performances in the OECD countries regarding the design of environmental policies, even though we should also keep in mind that there isn’t a solution that works for everyone. Policy makers should modify their plans in accordance with the nature and unique features of their country or region.
      Citation: Energy & Environment
      PubDate: 2023-02-14T07:32:17Z
      DOI: 10.1177/0958305X231155492
       
  • Geothermal energy and carbon emissions nexus in leading
           geothermal-consuming nations: Evidence from nonparametric analysis

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      Authors: Muhammad Umar, Abraham Ayobamiji Awosusi, Oluwatayomi Rereloluwa Adegboye, Opeoluwa Seun Ojekemi
      Abstract: Energy & Environment, Ahead of Print.
      The pursuit of decarbonization has created an awareness globally in relation to geothermal energy, either for electricity generation or direct usage, since fuel combustion is not needed. Premised on this intriguing detail, this present research scrutinizes the impact of geothermal energy on CO2 emissions in the top seven geothermal energy-consuming nations. Using the quarterly dataset of geothermal and CO2 emissions stretching over the period between 1990 and 2019. The quantile-on-quantile (QQ) approach, which considers the conventional quantile analysis and nonparametric, is utilized in this research to provide more accurate and robust estimations. Furthermore, the QQ approach differentiates the impacts of geothermal energy on CO2 emissions into three quantiles: upper, medium, and lower. Additionally, the nonparametric causality-in-quantiles is used to evaluate the causation in quantiles between geothermal and CO2 emissions. From the outcomes of the QQ approach, we discovered that in several quantiles, geothermal energy mitigates environmental deterioration, wherein CO2 emission is reduced in Italy, Mexico, and New Zealand. However, geothermal energy boosts CO2 emissions in India, the USA, Turkey, and the Philippines. Furthermore, the nonparametric causality-in-quantiles discovered that geothermal energy predicts CO2 emissions in all nations.
      Citation: Energy & Environment
      PubDate: 2023-02-14T07:30:57Z
      DOI: 10.1177/0958305X231153972
       
  • Study on the influence mechanism of green investment to promote green
           ecological development: Evidence from the provincial level in China

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      Authors: Ruikun Peng, Huichun Huang, Xinchao Zhang
      Abstract: Energy & Environment, Ahead of Print.
      The impact of green investment on green ecological development is still controversial. Based on the provincial panel data from 2009 to 2020, this study uses a spatial econometric model to test the impact of green investment on green ecological development and regional differences. Results found that the green investment significantly improved the local green ecological level and had less impact on the green ecological level of surrounding areas. Green innovation significantly affects green investment to promote green ecology in local and surrounding areas, inhibiting the development of green ecology. Environmental regulation improved the effect of local green investment to promote green innovation and has an inhibitory effect on surrounding areas. Moreover, environmental regulation inhibits the effect of local green investment to promote a green ecology. Finally, the promotion effect of green investment on local green ecology is only significant in the eastern region. The effect in the western region is not significant. This study has important practical significance for promoting China's green ecological development.
      Citation: Energy & Environment
      PubDate: 2023-02-14T07:28:17Z
      DOI: 10.1177/0958305X231153961
       
  • The driving effect of digital economy on green transformation of
           manufacturing

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      Authors: Hongcheng Si, Ze Tian, Canyu Guo, Jun Zhang
      Abstract: Energy & Environment, Ahead of Print.
      Under the double pressure of economic downturn and climate deterioration, the Chinese government needs to use the “double carbon” policy to drive the green transformation of the manufacturing industry. This article takes A-share manufacturing listed companies as the research object, constructs the enterprise digital economy investment index by text analysis and expert scoring method, and represents the degree of green transformation by enterprise green total factor productivity. At the theoretical level, the impact mechanism of the digital economy empowering green transformation in the manufacturing industry is hypothesized. The relevant hypotheses were tested through econometric empirical evidence, and the econometric model significantly passed the robustness test, proving that the digital economy empowers the development of green transformation in the manufacturing industry significantly. This article reveals that the digital economy promotes the green total factor productivity of enterprises by enhancing their innovation capability, improving the efficiency of production factor flow, and increasing their emission costs, but the factor intensity and the nature of enterprise owners will have different effects on the green transformation of the manufacturing industry enabled by the digital economy. This article explores the internal mechanism of green transformation development in the digital economy-enabled manufacturing industry and provides empirical evidence for enterprises to formulate development strategies and for governments to issue guiding policies.
      Citation: Energy & Environment
      PubDate: 2023-02-13T08:05:47Z
      DOI: 10.1177/0958305X231155494
       
  • Probing the environmental impacts of structural transition and demographic
           mobility in Africa: Does technological innovation matter'

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      Authors: Xinzhong Zou, Shiheng Yang, Ridwan Lanre Ibrahim, Mamdouh Abdulaziz Saleh Al-Faryan
      Abstract: Energy & Environment, Ahead of Print.
      Although available statistics reveal Africa as an insignificant contributor to the devastating global climate condition, the succeeding impacts seem to hit the region harder than others. Efforts to address the environmental issues have seen the transition from carbon-intensive to carbon-abating sectors. Hence, this study makes the first empirical attempt to probe the ecological effects of structural transition and demographic mobility amidst the presence of technological innovation, foreign direct investment, and renewable energy. The empirical evidence focuses on the five highest emitters in Africa from 1990 to 2019 using advanced estimators, including cross-sectional autoregressive distributed lag (CS-ARDL), augmented mean group (AMG), common correlated effect mean group (CCEMG), and method of moment quantile regression (MMQR). For easy tracking of emanating effects, structural transition is captured by agriculture, manufacturing, and service sectors’ value added, whereas demographic mobility vectors rural and urban population. The results reveal agriculture sector, manufacturing sector, rural population, and urban population as amplifiers of CO2 emissions. Conversely, the moderating roles of technological innovation amidst service sector, foreign direct investment, and renewable energy are confirmed. Besides, Granger causality uncovers unidirectional and bidirectional causality in the model. Promoting developments in research and development and adopting carbon tax policies are among the emanating policies on the findings.
      Citation: Energy & Environment
      PubDate: 2023-02-10T06:15:18Z
      DOI: 10.1177/0958305X231153967
       
  • Influence analysis and low carbon evaluation of 3D sand printing process
           parameters on efficiency, resource consumption, and carbon emission

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      Authors: Jun Zheng, Feng Lin, Junjie Shi, Xinyu Hu, Qi Pan, Tiening Qi, Yicheng Ren, Aizhi Guan, Zhiyi Zhang, Wei Ling
      Abstract: Energy & Environment, Ahead of Print.
      The 3D sand printing (3DSP) technology provides a richer realization path for the sustainable development of the manufacturing industry. It has the advantages of one-time molding, reducing design constraints and machining amount, and easy control of casting dimensional accuracy. Therefore, studying the impact of process parameters of the printing process on printing efficiency, resource consumption, and carbon emissions is the basis for the sustainable development of 3DSP technology. In this paper, starting from the main influencing parameters such as printing layer thickness, recoater speed, printing angle, and single printing quantity, a relationship model between printing parameters and carbon emission sources is constructed. A total factor carbon emission prediction model of 3DSP process including the impact of capital and labor is established. Build an influence relationship with printing parameters as independent variables and carbon emissions as dependent variables. Taking the sand casting industry as an example to verify the above model, the experimental results show that the thickness of the printing layer has the greatest impact on carbon emissions. When the layer thickness is 0.36 mm, the speed of the recoater is 0.22 m/s, the printing angle is (0°, 0°, 90°), and the single print quantity is 84, the total carbon emission is the lowest and 28.77% less compared to the parameter with the highest carbon emission. The average relative error of the predictive model is 1.929%. The results of this study can provide some new ideas for sustainable development of additive manufacturing technology.
      Citation: Energy & Environment
      PubDate: 2023-02-08T05:21:00Z
      DOI: 10.1177/0958305X231153942
       
  • Recent developments in green hydrogen–environmental sustainability nexus
           amidst energy efficiency, green finance, eco-innovation, and
           digitalization in top hydrogen-consuming economies

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      Authors: Jiahao Shen, Lanre Ibrahim Ridwan, Lukman Raimi, Mamdouh Abdulaziz Saleh Al-Faryan
      Abstract: Energy & Environment, Ahead of Print.
      The present era is facing a dilemma relating to engaging the essentialities of energy resources to attain economic prosperity due to the ensuing environmental complications. Consequently, sectors such as transport, aviation, and refining industries are under the scrutiny of reducing their reliance on fossil fuels achievable with the promotion of hydrogen energy which is largely neglected in the environmental empirics. To this end, the environmental impacts of green hydrogen in the top seven hydrogen-consuming countries are assessed from 1995 to 2019. Moreover, the roles of green finance, environmental-related technologies, energy efficiency, and digitalization are considered in the model specified within the STIRPAT framework. Second generation estimators comprising cross-section autoregressive distributed lag, Common Correlated Effect Mean Group, Augmented Mean Group, and Method of Moment Quantile Regression are employed in evaluating the stated hypotheses. Feedbacks from the analysis uncovered that green hydrogen; green finance, environmental-related technologies, energy efficiencies, digitalization, and structural change promote environmental sustainability in the top seven hydrogen-consuming countries. Contrariwise, natural resource dependence and urbanization trigger CO2 emissions, thereby exacerbating environmental complications. Based on the findings, policy measures leading toward sustainable environment are suggested.
      Citation: Energy & Environment
      PubDate: 2023-02-03T10:55:52Z
      DOI: 10.1177/0958305X231153936
       
  • Analysis of the environmental impacts of the agricultural, industrial, and
           financial sectors in Malaysia

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      Authors: Kizito Uyi Ehigiamusoe, Hooi Hooi Lean, Sotheeswari Somasundram
      Abstract: Energy & Environment, Ahead of Print.
      The mounting level of environmental degradation in Malaysia constitutes a grave issue to analysts and policymakers because it has adverse impact on climate change and human lives. This study is motivated by the dearth of a comprehensive research on the environmental impact of sectoral growth. It focuses on sectoral growth because of the need to strike a balance between the economic and environmental impacts of the agricultural, industrial, and financial sectors in Malaysia. Therefore, this study analyses the environmental impacts of the agricultural, industrial, and financial sectors in Malaysia during 1980–2018. It uses ecological footprint and carbon emissions as indicators of environmental degradation to properly capture various aspects of environmental degradation. It employs the Environmental Kuznets Curve (EKC) model and Autoregressive Distributed Lag (ARDL) procedure. This study contributes to the extant literature by showing that the agricultural, industrial, and market-based financial sectors aggravate carbon emissions while the bank-based financial sector mitigates carbon emissions in Malaysia. However, the impacts of the agricultural, industrial, and financial sectors on ecological footprint are tenuous. Though the EKC hypothesis is verified, energy consumption worsens ecological footprint and carbon emissions. The findings are robust to structural breaks and satisfactory diagnostic tests. This study implies that the agricultural, industrial, and financial sectors are significant determinants of carbon emissions. Since Malaysia cannot afford to sacrifice sectoral development for environmental sustainability, it is necessary for stakeholders to embrace environmental-friendly techniques that can boost sectoral development without compromising environmental quality.
      Citation: Energy & Environment
      PubDate: 2023-01-30T09:25:31Z
      DOI: 10.1177/0958305X231152480
       
  • Advances and development of wind–solar hybrid renewable energy
           technologies for energy transition and sustainable future in India

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      Authors: J Charles Rajesh Kumar, MA Majid
      Abstract: Energy & Environment, Ahead of Print.
      While solar power projects are built on a continuous ground, wind power projects require scattered land, raising transmission costs and increasing the risk of land-related complications. Wind–solar hybrid (WSH) projects have been proposed to address these issues and accelerate installation. WSH power projects will create a well-defined area with sufficient infrastructure, including evacuation facilities, where the project’s risks can be reduced. The extensive coastline of India is endowed with high wind flow speed and plentiful solar power resources, creating an ideal environment for WSH projects to prosper while simultaneously improving grid stability and reliability. WSH plants guarantee higher transmission efficiency and cost-effectiveness than their stand-alone counterparts. As of 30.11.2021, 3.75 GW of WSH projects have been granted, with 0.148 GW of operational capacity and 1.7 GW of WSH projects in various bidding phases. In this paper, we discussed state-wise WSH potential, the key players in the WSH project, the National WSH, and the State WSH policy and amendments. Also, the WSH project’s physical progress and commercial details are covered. A feasibility study of the WSH plant is performed, and the primary design strategy for deploying WSH power facilities in India is discussed. It covers every step of this process, from design technique to choosing and evaluating potential locations for such hybrid projects, optimally placing wind turbines and solar panels, overall capacity mix for hybrid plants, and ultimately power evacuation optimization. Additionally, a brief study of the savings from these hybrid plants and the environmental, social, and governance standards which are necessary to implement these projects are provided. The potential challenges connected with WSH technologies are examined in depth, and potential solutions and mitigations for the challenges are provided. Designing a WSH for small-scale irrigation is provided along with the size and choice of wind and solar systems. Degradation of PV systems and carbon savings are included, along with some policy measures to boost the proportion of WSH in the entire power mix. In India, the development of large-scale WSH projects is still in its early stages, and more research is required to explore technical, commercial, and policy elements that influence project design. The policy suggestions for improvement of the WSH project are provided. The WSH project developers, potential investors, stakeholders, innovators, policymakers, manufacturers, designers, and researchers will benefit from the recommendations based on the review’s findings.
      Citation: Energy & Environment
      PubDate: 2023-01-30T06:48:06Z
      DOI: 10.1177/0958305X231152481
       
  • Decomposition analysis of China's chemical sector energy-related CO2
           emissions: From an extended SDA approach perspective

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      Authors: Yang Yu, Jie Hou, Atif Jahanger, Xiang Cao, Daniel Balsalobre-Lorente, Magdalena Radulescu, Tangyang Jiang
      Abstract: Energy & Environment, Ahead of Print.
      The excessive growth of carbon emissions (CO2E) from industrial energy use not only exacerbates global warming and severely curbs the sustainable development of the economy and society. As a high energy-consuming sector second only to the fossil energy division, the power and heavy division, China's chemical industry should have received more attention for its CO2E. However, there are limited literatures on energy CO2E in China's chemical sector at present. Based on this fact, this current paper uses the energy utilization approach, the input–output analysis approach, and the extended structural decomposition method to evaluate the energy-related CO2E of China's chemical sector from 2007 to 2017. (1) China's chemical sector energy-related CO2E showed a trend of first growth and then a slow decline, demonstrating that the rapid growth of China's chemical sector energy-related CO2E has been effectively controlled; However, it should be noted that the chemical industry is still dominated by high-CO2E energy-related CO2E at the current stage. (2) Input structure and energy intensity effects have a reduced influence on the growth of energy-related CO2E in China's chemical sector. This is due to upgrading energy use technology and optimizing the generalized technology progress rate in the chemical sector. (3) Energy structure and final demand effects have encouraged the growth of the chemical sector's energy-related CO2E. It shows that the industrial system's demand for chemical products is constantly expanding, and the chemical products still have the characteristics of high carbonization. Also, the chemical sector's supply-side energy utilization structure has not been significantly enhanced.
      Citation: Energy & Environment
      PubDate: 2023-01-30T06:45:26Z
      DOI: 10.1177/0958305X231151682
       
  • Light pollution impact assessment in Hong Kong: Multi-dimensional
           measurement and spatial numerical modelling on integrated light sources in
           the neighbourhood level

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      Authors: Jimmy C K Tong, X H Yao, Edmond S L Lau, Wendy K S Cheung, Kingston K S Ho, Venus Y Y Ng, Arthur P S Lau
      Abstract: Energy & Environment, Ahead of Print.
      Light pollution in recent years has drawn surging public concerns in Hong Kong. The improper management of the light sources causes pollution, particularly light trespass on the community level, which obstructs the residents. Yet more studies are expected to quantitatively and systematically assess the severity of the artificial light trespass problem, and to offer practical solutions for mitigation and urban management. This study was conducted on a typical high-density, mixed-use neighbourhood in Tsim Sha Tsui district. The study consists of on-site measurement and model simulation. Three illuminance measurements were conducted to evaluate the impact of light pollution on the streets and light trespass on the nearby buildings. It was found that the impacts on the buildings (mean illuminance of 3 lx) are less significant than on the streets (mean illuminance of 188 lx) for the target study area. Indoor measurement at various height levels showed a mean illuminance level of 0.6 lx, which is much lower than the international limit of 25 lx. Meanwhile, the modelling work, consisting of correlation, verification and regression analysis, was carried to bridge luminous flux from light sources and illuminance received at the target. A three-dimensional (3D) model was developed to mimic the actual situation and was used to identify the primary light sources causing impacts. While a growing number of research is found on measuring and modelling the intricate light pollution in such a micro scale that elevates explicitly the importance of extrapolating the light pollution effect vertically from street level to building level, direct simulation is still lacking. This study also refined and summarised the research methodology to serve as a feasible and organised protocol for setting up the measurement and modelling work. This can be adapted in future assessments on light trespass issues under similar circumstances elsewhere, like scientific research, urban planning, or property development projects.
      Citation: Energy & Environment
      PubDate: 2023-01-24T06:19:16Z
      DOI: 10.1177/0958305X221146942
       
  • Long-run impact of coal usage decline on CO2 emissions and economic
           growth: Evidence from disaggregated energy consumption perspective for
           China and India by dynamic ARDL simulations

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      Authors: Mustafa Tevfik Kartal, Serpil Kılıç Depren, Uzair Ali, Zhanar Nurgazina
      Abstract: Energy & Environment, Ahead of Print.
      This study examines the long-run impact of coal usage decline from a disaggregated energy consumption perspective by considering the role of coal usage on carbon dioxide (CO2) emissions and economic growth. For this purpose, the study focuses on China and India as the leading coal-user countries; considers coal, oil, natural gas, and renewable energy consumption as explanatory variables; uses yearly data from 1990 to 2021, and applies a novel dynamic autoregressive distributed lag (DYNARDL) simulations. Also, the Kernel-based regularized least squares (KRLS) approach is performed for robustness checks. The outcomes show that (i) there is cointegration between coal usage and CO2 emissions, and between coal usage and economic growth in the long run; (ii) coal usage is the most important indicator among explanatory variables; (iii) coal usage has a statistically significant impact on CO2 emissions in both China and India; (iv) however, coal usage is not significantly effective on economic growth for both China and India based on DYNARDL simulations; (v) negative counterfactual shocks in coal usage have a decreasing impact on CO2 emissions; (vi) KRLS results show that coal usage has a causal impact on CO2 emissions and the results of the DYNARDL simulations are robust. Hence, counterfactual shocks present important insights about the future impacts of coal usage decline on both CO2 emissions and economic growth. Based on the empirical results, policy implications, such as decreasing the amount of coal usage on and increasing the amount of alternative energy sources in the total energy mix, are also proposed.
      Citation: Energy & Environment
      PubDate: 2023-01-24T06:13:55Z
      DOI: 10.1177/0958305X231152482
       
  • A dynamic relationship between renewable energy consumption, nonrenewable
           energy consumption, economic growth, and carbon dioxide emissions:
           Evidence from Asian emerging economies

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      Authors: Arshad Ali, Magdalena Radulescu, Daniel Balsalobre-Lorente
      Abstract: Energy & Environment, Ahead of Print.
      This study aims to examine the linkages between renewable energy consumption (REC), nonrenewable energy consumption (NREC), carbon dioxide (CO2) emissions, and economic growth in emerging Asian countries during the period 1975–2020 using a panel augmented mean group (AMG) estimation technique. The results of the long-run coefficient elasticity show that REC, NREC, employed labor force, and capital formation contribute significantly to long-run economic growth. The research analysis also found that NREC significantly increases long-term carbon emissions while REC significantly reduces long-term carbon emissions. Moreover, gross domestic product (GDP) and GDP3 have a significant positive impact on environmental degradation while GDP2 has a significant adverse impact on environmental pollution, thus validating the N-shaped Environmental Kuznets Curve (EKC) hypothesis in selected emerging Asian economies. The country-wise AMG strategy points out that India and Bangladesh have no EKC hypothesis, China and Singapore have an inverted U-shaped EKC hypothesis and Japan and South Korea have an N-shaped EKC hypothesis. Empirical evidence from Dumitrescu and Hurlin's causality test shows a two-way causality between REC and economic growth, supporting the feedback hypothesis. Strategically, this study suggests that more renewable energy is a viable strategy to address energy security and reduce carbon emissions to protect the environment and boost future economic growth in selected emerging Asian countries.
      Citation: Energy & Environment
      PubDate: 2023-01-24T06:11:35Z
      DOI: 10.1177/0958305X231151684
       
  • The impacts of the low-carbon city policy on urban air pollution in China

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      Authors: Jiafeng Gu
      Abstract: Energy & Environment, Ahead of Print.
      Declining levels of social welfare caused by climate warming and air pollution place increasing constraints on high-quality, sustainable global development. To achieve global climate-governance goals, it is essential to accelerate the process of peaking carbon emissions and meeting air-quality standards. Despite growing awareness of the impact of low-carbon city policies on the environment, few studies have focused on their impact on urban air quality. Based on panel data drawn from 275 cities between 2011 and 2017, the present study evaluates the effects of a low-carbon city policy on urban sulfur-dioxide emissions, using the low-carbon city policy as a quasi-natural experiment. The findings reveal that urban sulfur-dioxide emissions have obvious spatial-autocorrelation characteristics, showing obvious spatial clustering. The low-carbon city policy not only significantly reduced urban sulfur-dioxide emissions in pilot cities, but also suppressed sulfur-dioxide emissions in surrounding cities through an indirect rebound effect. This paper provides a theoretical reference for collaborative governance, which can help to achieve peak carbon emissions and air-quality standards. To reach those goals, nations must abandon territorial prevention-and-control methods based on administrative divisions and to fully activate cross-city regional joint prevention-and-control measures. This study proposes key policies, including promoting inter-city regional coordination mechanisms, strengthening the collaborative governance in relation to carbon-dioxide and sulfur-dioxide emissions, and promoting the construction of inner-city green facilities.
      Citation: Energy & Environment
      PubDate: 2023-01-24T06:10:16Z
      DOI: 10.1177/0958305X231151680
       
  • The asymmetric and long-run effect of energy productivity on environmental
           degradation in the United Kingdom

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      Authors: Dervis Kirikkaleli, James K Sowah, Kwaku Addai
      Abstract: Energy & Environment, Ahead of Print.
      Energy efficiency offers a vast, low-cost energy resource for the economy, but only if the nation can craft a comprehensive and innovative approach to unlock it. One of the most viable options is to invest in energy productivity. This study examines the asymmetric and long-run effects of energy productivity on environmental degradation while controlling for renewable energy, economic growth, and financial development, utilizing the nonlinear autoregressive distributive lag model and other robust econometric techniques in the United Kingdom during the period 1990Q1–2020Q4. The United Kingdom is one of the world's wealthiest countries; its environment is being severely strained and is challenged in boasting massive investments to reduce CO2 emissions to 78% by 2035. Given the important scenarios for energy efficiency, this study outcome indicates that (a) energy productivity has been beneficial for reducing carbon emissions; (b) renewable energy sources significantly mitigate carbon emissions in the United Kingdom, and (c) economic growth and financial development cause to increase carbon emissions in the United Kingdom. Given the findings, some policy recommendations abound. The negative statistically significant coefficient of renewable energy is an indication that the expansion of renewable energy is essential to achieving clean and sustainable growth. Furthermore, policymakers should enact new environmental laws that prioritize R&D and embrace cleaner technologies.
      Citation: Energy & Environment
      PubDate: 2023-01-23T07:02:23Z
      DOI: 10.1177/0958305X231152485
       
  • Facile preparation of polyaniline/graphene oxide composite towards
           electrode materials

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      Authors: Muazzin Mupit, Mohd Asyadi Azam, Muhammad Remanul Islam, Rosli Yunus, Ong Siew Kooi, Mohd Al Fatihhi Mohd Szali Januddi
      Abstract: Energy & Environment, Ahead of Print.
      Polyaniline (PANi) reinforced with graphene oxide (GO) composites were synthesized via in-situ polymerization. The GO was synthesized from natural graphite flakes via the modified Hummer's method. The PANi/GO composites were characterized by Raman spectroscopy, X-ray diffraction, Fourier-transform infrared spectroscopy, scanning electron microscopy, and thermogravimetric analysis. The composites were used as supercapacitor electrodes and the performances were measured by the specific gravimetric capacitance (Csp) from cyclic voltammetry and charge/discharge characteristics. The maximum value of [math] was recorded as 36 F/g at a current density of 1 A/g for a loading of 50 wt.% of GO. However, the maximum energy density and power density were recorded as of 2.28 Wh kg−1 and 259.06 W kg−1, respectively, for the loading of 10 wt.% of GO. Additionally, the PANi/GO exhibited the highest capacitance retention of about 76.96% after 5000 cycles at a current density of 1 A/g. The electrochemical performance of the PANi/GO composites was suitable to be used for energy storage devices application.
      Citation: Energy & Environment
      PubDate: 2023-01-23T07:01:20Z
      DOI: 10.1177/0958305X221150431
       
  • Does campaign-style environmental regulation induce green economic growth'
           Evidence from China's central environmental protection inspection policy

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      Authors: Dan Pan, Yi Yu, Wei Hong, Shengdong Chen
      Abstract: Energy & Environment, Ahead of Print.
      Well-designed environmental regulations are a prerequisite for achieving green economic growth. However, the effectiveness of campaign-style environmental regulation—a widely used environmental management instrument in developing nations or even in some developed nations, on green economic growth remains under-researched and has not reached a consistent conclusion. This paper takes advantage of China's Central Environmental Protection Inspector policy—the strictest and largest campaign-style environmental regulation policy in China's history, as a natural experiment and uses the difference-in-differences method to explore the effect of campaign-style environmental regulation on green economic growth, and further analyze its underlying mechanisms and heterogeneity effects. The panel data covering 280 prefecture-level cities in China from 2009 to 2019 are used. Our results show that Central Environmental Protection Inspector can result in an average of 14.2% increase in green economic growth, and this effect is sustainable for a long time. Mechanism analysis shows that Central Environmental Protection Inspector boosts green economic growth mainly by promoting green innovation and optimizing industrial structure. Further heterogeneity analysis reveals that the positive effect of Central Environmental Protection Inspector on green economic growth is greater in eastern China and underdeveloped cities.
      Citation: Energy & Environment
      PubDate: 2023-01-20T07:22:19Z
      DOI: 10.1177/0958305X231152483
       
  • Analyzing the linkage between public debt, renewable electricity output,
           and CO2 emissions in emerging economies: Does the N-shaped environmental
           Kuznets curve exist'

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      Authors: Ayoub Zeraibi, Magdalena Radulescu, Muhammad Kamran Khan, Muhammad Hafeez, Atif Jahanger
      Abstract: Energy & Environment, Ahead of Print.
      The main objective of the current study is to analyze the nexus between public debt, renewable electricity, economic growth, and carbon dioxide (CO2) emissions in emerging economies between 1990 and 2020. The augmented mean group (AMG), fully modified ordinary least square (FMOLS), and dynamic ordinary least square (DOLS) models have been applied to analyze the long-run estimation. The empirical evidence demonstrates that public debt, renewable electricity reduces CO2 emissions. Furthermore, an N-shaped relationship has been identified between per capita CO2 emissions and per capita GDP in emerging nations. Also, the result reveals a bidirectional causal relationship between public debt and economic growth, CO2 emissions and economic growth, public debt and CO2 emissions, and renewable electricity and economic growth. The current study recommends promoting the renewable energy transition, elevating renewable electricity generation capacities, and ensuring greener economic growth by emitting carbon dioxide emissions across emerging countries. The government across each region could incorporate taxes and other incentives to encourage entrepreneurs and citizens to produce equipment that reduces carbon intensity and is ecologically friendly.
      Citation: Energy & Environment
      PubDate: 2023-01-20T05:50:58Z
      DOI: 10.1177/0958305X231151678
       
  • Fiscal support and carbon productivity of agriculture—Empirical
           evidence from China

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      Authors: Ning Xu, Wenjie Zhang, Haoran Li, Wanxu Chen
      Abstract: Energy & Environment, Ahead of Print.
      In the context of global climate change, improving agricultural carbon productivity is an important channel to cope with climate change, reduce agricultural carbon emissions and maintain agricultural growth. For a long time, agricultural development in China mainly depends on the government's fiscal expenditure. However, does fiscal support helps to promote carbon productivity of agriculture' This question remains to be answered. Using a set of panel data covering 31 provinces and cities from 2003 to 2019, this study empirically explores the impact of agricultural fiscal support on agricultural carbon productivity in China. Benchmark regression results indicate that after controlling other influential factors, regional fiscal expenditure on agricultural has a significantly positive impact on agricultural carbon productivity. In addition, the promotion impacts of fiscal support on agricultural technological innovation and scale operation efficiency are two effective channels by which to help promote agricultural carbon productivity. By using a panel threshold regression model, we find that there exists a nonlinear relationship between fiscal support and agricultural carbon productivity. The input of agricultural machinery and chemical fertilizer are two threshold variables. Further, this causal linkage between fiscal support and agricultural carbon productivity exists differences because of the different levels of agricultural carbon productivity and regions. Our research provides Chinese theoretical basis and practical reference for improvement of agricultural carbon productivity from the perspective of fiscal expenditure.
      Citation: Energy & Environment
      PubDate: 2023-01-19T06:05:14Z
      DOI: 10.1177/0958305X231151683
       
  • Investigation of soiling effects for east/west vertical bifacial and
           north/south tilted monofacial photovoltaic farms

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      Authors: Usama Bin Qasim, Muhammad Hussnain Riaz, Hassan Imran
      Abstract: Energy & Environment, Ahead of Print.
      The output energy produced by the photovoltaic system strongly depends upon the amount of solar radiation harvested by the photovoltaic panels. Varying the tilt of photovoltaic panels at the optimal angle and/or cleaning the photovoltaic panels at regular intervals are some of the techniques that could enhance the photovoltaic system performance albeit at the cost of increased labor and water budget. Here, we explore a farm-level study to investigate the effect of different tilt angle adjustment schedules on the performance of conventional north/south ([math]) tilted monofacial photovoltaic farms. We further compare the performance of optimally tilted [math] photovoltaic farms with that of east/west ([math]) faced vertical bifacial photovoltaic farms for various dry periods for Lahore, Pakistan. We show that for a dry period of one month, the performance of [math] tilted farm is decreased by [math]40 kWh/m[math] as compared to that for [math] farm that exhibits a performance degradation of [math]3 kWh/m[math]. Further, [math] farm performs better than [math] vertical farm if the cleaning is performed on (or before) fortnightly basis. Further, if cleaning is delayed for one month, then [math] vertical farm performs better than [math] tilted farm. The results presented in this work are beneficial for the development of [math] faced vertical bifacial farm in dusty climates and regions with scarce water supply.
      Citation: Energy & Environment
      PubDate: 2023-01-19T06:03:54Z
      DOI: 10.1177/0958305X221143410
       
  • Solvent-based recovery of acrylate polymer from display film waste

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      Authors: Nahyeon Lee, Byungmin Ahn, Jechan Lee
      Abstract: Energy & Environment, Ahead of Print.
      Acrylate polymer is widely used to manufacture display films as an adhesive. Improper disposal of acrylate polymer-containing display film waste (a kind of E-waste) may cause serious environmental problems. As an effort to develop a display film waste treatment strategy, this study applied a solvent-based method to recover acrylate polymer from display film waste. The solubility of acrylate polymer (e.g. poly(tert-butyl acrylate)) in 18 different organic solvents was calculated using Hansen solubility parameters. As a result, 2-butanol and methyl acetate were chosen as organic solvents for the acrylate polymer recovery from the display film waste. Effects of various recovery parameters (e.g. temperature, time, and stirring speed) on the recovery of acrylate polymer in five different solvent systems consisting of 2-butanol and methyl acetate (2-butanol, methyl acetate, 1:1 mixture, 1:2 mixture, and 2:1 mixture) were explored. 2-Butanol was found to be a better solvent than any others because it is more hydrophobic than methyl acetate. The recovery condition at which the highest acrylate polymer recovery yield in 2-butanol was obtained was T  =  30 °C, t  =  1 h, and stirring speed of 250 r/min, reaching 8.28 wt%. This study would help to develop an E-waste recycling method that can be recovering value-added products from E-waste.
      Citation: Energy & Environment
      PubDate: 2023-01-18T06:11:19Z
      DOI: 10.1177/0958305X231151681
       
  • Green development of the country: Role of macroeconomic stability

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      Authors: Yang Chen, Oleksii Lyulyov, Tetyana Pimonenko, Aleksy Kwilinski
      Abstract: Energy & Environment, Ahead of Print.
      The intensification of ecological issues provokes to search for the appropriate mechanism and resources to solve them without declining the economic growth. This requires moving from resources oriented to green economic development. It could be realised through two goals: achieving macroeconomic stability – core driver of economic growth; declining environmental degradation and increasing efficiency of resources using – core requirements for green development. The paper aims to check the hypothesis on macroeconomic stability's impact on the green development of the countries. The object of investigation is European Union countries from 2000 to 2020. The study applied the following methods: the Global Malmquist-Luenberger productivity index – to estimate the green development of the countries; Macroeconomic Stabilisation Pentagon model – to estimate macroeconomic stability; Kernel density estimation and Tobit model – to check the macroeconomic stability impact on the green development of the countries. The empirical findings show that Malta from the ‘Green Group’ and Estonia from the ‘Yellow group’ have the highest value of green development, and Sweden and Greece have the highest value of macroeconomic stability. Besides, the findings allow confirming the research hypothesis. Thus, the growth of external dimensions of macroeconomic stability by 1 point led to the growth of green economic development by 0.085 (among ‘Green group’) and 0.195 (among ‘Yellow group’). It confirms that harmonising macroeconomic stability among all EU members allows for achieving the synergy effect.
      Citation: Energy & Environment
      PubDate: 2023-01-18T06:07:28Z
      DOI: 10.1177/0958305X231151679
       
  • Coal–environmental quality nexus in EU-part of the Eastern Bloc: Do
           socioeconomic factors and bureaucracy play a substantial role'

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      Authors: Obumneke Bob Muoneke, Obiamaka Priscilla Egbo, Kingsley Ikechukwu Okere
      Abstract: Energy & Environment, Ahead of Print.
      Based on the fact that the EU-part of the Eastern Bloc has not fared well in transitioning to renewable energy in the last decade compared to other regions of the bloc, this study investigated the impacts of coal consumption, socioeconomic factors and bureaucracy on the environment and the moderating effect of socioeconomic factors and bureaucracy on the coal consumption–environment relationship in the selected bloc. The study used the AMG, FMOLS and DOLS modelling framework and a panel of six countries in the selected bloc from 1990 to 2018. The study established that coal consumption has a significant dampening effect on CO2 emissions in the EU-part of the Eastern Bloc and that bureaucracy in the region amplifies this effect instead of mitigating it. In another corridor, we found that in the midst of the coal–environmental nexus, socioeconomic factors offer a mitigating path towards emission reduction in the region. Policy recommendations directed at addressing bureaucratic hitches associated with the transition to renewable energy in Eastern Europe. The authors propose the inauguration of hybrid courts (specialised) to settle disputes that may arise from indigenes and standing technical committees to increase bureaucratic expertise, which would reduce the permit acquisition period required for wind, hydropower, and solar installation farms and other technicalities associated with the EU funding for the Eastern Bloc.
      Citation: Energy & Environment
      PubDate: 2023-01-18T06:05:41Z
      DOI: 10.1177/0958305X221149503
       
  • Asymmetric nexus of coal consumption with environmental quality and
           economic growth: Evidence from BRICS, E7, and Fragile Five countries by
           novel quantile approaches

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      Authors: Mustafa Tevfik Kartal, Hasan Murat Ertuğrul, Dilvin Taşkın, Fatih Ayhan
      Abstract: Energy & Environment, Ahead of Print.
      The study analyzes the asymmetric nexus of coal consumption with environmental quality and economic growth. In this context, the study focuses on eight leading emerging countries that take place in BRICS, E7, and Fragile Five groups. Also, the study uses yearly data from 1989 to 2021 and performs novel quantile methods, such as Granger Causality-in-Quantiles and Quantile-on-Quantile Regression (QQR). Also, quantile regression is used for robustness check. The results present that (i) there are causalities from coal consumption to both environmental quality and economic growth at 10% significance, whereas quantile and country-based results differ; (ii) effects of coal consumption on environmental quality are much stronger in lower quantiles for Brazil, Indonesia, India, South Africa, and, Turkey, but in higher quantiles for China, Mexico, and Russia; (iii) effects of coal consumption on economic growth are much stronger in lower quantiles for Brazil, Indonesia, India, Russia, South Africa, and Turkey; in higher quantiles for China; lower and middle quantiles for Russia; and all quantiles for Mexico; and (iv) the robustness of the QQR results are validated. Hence, empirical outcomes underline the highly crucial effects of coal consumption on environmental quality and economic growth in the countries. The results imply that policymakers should focus on efforts to decrease coal consumption gradually by applying a macro transition plan to increase environmental quality without causing economic decline by considering changing effects of coal consumption at quantiles and countries.
      Citation: Energy & Environment
      PubDate: 2023-01-17T01:10:56Z
      DOI: 10.1177/0958305X231151675
       
  • The impact of non-renewable energy production and energy usage on carbon
           emissions: Evidence from China

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      Authors: YunQian Zhang, Li Li, Muhammad Sadiq, FengSheng Chien
      Abstract: Energy & Environment, Ahead of Print.
      A high level of carbon dioxide (CO2) emission has become a global issue due to extensive production and energy usage that needs regulators’ attention and researchers’ emphasis. Hence, the study aims to explore the effectiveness of energy production and usage on carbon dioxide emission in China. The current study has taken the electricity production from oil, coal and nuclear as the measurement of energy production, while fossil fuel energy consumption and energy use have been taken as the measurement of energy usage, and energy import has been taken as the control variable. The secondary data has been gathered using a secondary source like World Bank from 1991 to 2020. The Quantile Autoregressive Distributed Lag (QARDL) was employed by the study to examine the linkage among variables, while the Augmented Dickey–Fuller (ADF) test was adopted to check the stationarity. The results revealed that electricity production from oil, coal and nuclear has a positive connection with CO2 emission. The findings also exposed that the FFEC, energy import, and energy use also have a positive linkage with CO2 emission. This study monitors the policymakers while establishing regulations to control CO2 emissions by limiting the country's energy production and usage.
      Citation: Energy & Environment
      PubDate: 2023-01-17T01:10:36Z
      DOI: 10.1177/0958305X221150432
       
  • Impact of energy resources on sustainable economic development: Evidence
           from the Chinese economy

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      Authors: Ching-Chi Hsu
      Abstract: Energy & Environment, Ahead of Print.
      The economic development of any nation depends on energy production and consumption, thereby, needing more exploration from researchers. The current article thus makes an attempt to examine the role of REW and non-REW energy on the economic development in China. The current article has used renewable energy production (REP), and renewable energy consumption (REC) to measure renewable energy. The current research has used fossil fuel energy consumption, energy use, energy import, and electric power consumption to measure non-renewable energy. The present study has taken secondary data from world development indicators from 1986 to 2020. The article has applied the nonlinear autoregressive distributed lagged model to evaluate the association among the understudy constructs. The findings indicated that REP and REC, fossil fuel energy consumption, energy use, energy import, and electric power consumption are linked with economic development in a positive manner in China context. The study guides the regulators in establishing the regulations related to economic development through both type of energy resources.
      Citation: Energy & Environment
      PubDate: 2023-01-17T01:10:18Z
      DOI: 10.1177/0958305X221149495
       
  • Spatial pattern and driving factors for interprovincial water use in
           China: Based on SNA and LMDI

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      Authors: Chenjun Zhang, Hailiang Huang, Changfeng Shi, Jingru Xu, Yung-ho Chiu
      Abstract: Energy & Environment, Ahead of Print.
      China, the world's largest developing country, faces a severe water shortage. As the government has set a goal of limiting water use to 7000 × 108 m3 by 2035, how to control the increase in water use will be a thorny issue for China. Unbalanced and uncoordinated regional socio-economic development is an important feature of China. Research on the interaction between provincial water use will help to optimize the rational allocation of water resources and control of water use. In this paper, SNA (social network analysis) method is first used to explore the characteristics of social network relationship between inter-provincial water use, construct a two-stage model of SNA–LMDI, and decompose the driving factors of inter-provincial water use evolution. We found the following points. (1) From 2000 to 2018, the spatial correlation network structure of water use is tending to be stable, and the stability and risk resistance of the whole network are enhanced. (2) From different angles to quantify the centricity analysis, can be found that eastern provinces located right in the heart of water network, obviously larger impact on water resources utilization in other provinces, Shanghai and Beijing is located in the former two, and central and western provinces in the edge position. (3) The national water use spatial correlation network can be divided into four blocks, net beneficial block, bidirectional spillover block, brokers block, and net spillover block. (4) Technological progress and industrial structure adjustment were the primary and secondary factors inhibiting the increase of total water use, while income increase was the main factor promoting the increase of total water use, population scale expansion had a weak role in promoting the increase of total water use. Some policy implications are put forward related to our research conclusions.
      Citation: Energy & Environment
      PubDate: 2023-01-11T06:25:56Z
      DOI: 10.1177/0958305X221150434
       
  • A wavelet-based model of trade openness with ecological footprint in the
           MINT economies

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      Authors: Tomiwa Sunday Adebayo, Haktan Sevinç, Demet Eroğlu Sevinç, Opeoluwa Seun Ojekemi, Dervis Kirikkaleli
      Abstract: Energy & Environment, Ahead of Print.
      The acceleration of ecological footprint and trade openness are two major hot subjects that have received much attention in recent years. Thus, the current study evaluates the interrelationship between ecological footprint and trade openness in Mexico, Indonesia, Nigeria, and Turkey (MINT) nations. The study utilized time series and panel analysis between 1961 and 2018. The research provides thorough information regarding this relationship for various time and frequency sub-periods by employing the partial wavelet, wavelet coherence, and multiple wavelet coherence techniques. The results from the wavelet coherence show that in the short and medium term, there is significant co-movement between ecological footprint and trade openness for Mexico and Indonesia, with trade openness driving ecological footprint positively at high and medium frequencies. Moreover, at all frequencies, trade openness drives ecological footprint positively for Nigeria and Turkey. The study validates that trade openness leads to the ecological footprint hypothesis in each nation. Furthermore, the multiple and partial wavelet coherence undoubtedly strengthens the occurrences spotted through the wavelet coherence in each nation. Based on these findings, policy recommendations are put forward.
      Citation: Energy & Environment
      PubDate: 2023-01-10T05:22:24Z
      DOI: 10.1177/0958305X221150489
       
  • The asymmetric impact of public–private partnership investment in energy
           on CO2 emissions in Pakistan

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      Authors: Minhaj Ali, Shujahat Haider Hashmi, Yasir Habib, Dervis Kirikkaleli
      Abstract: Energy & Environment, Ahead of Print.
      The present study investigates the effect of public–private partnership investment in energy and renewable energy consumption on carbon dioxide (CO2) emissions, taking into account the critical role of economic growth and trade openness in Pakistan from 1992 to 2019. The linear and nonlinear autoregressive distributed lag models are employed to check the co-integration link between dependent and independent variables, further estimate short-run and long-run associations, and examine the symmetric and asymmetric effects of public–private partnership investment in energy on CO2 emissions in Pakistan. The empirical findings show that public–private partnership investment in energy reduces environmental quality by increasing CO2 emissions. Similarly, economic development and trade openness harms the atmosphere by raising CO2 emissions. On the other hand, renewable energy consumption significantly negatively affects CO2 emissions. In addition, the findings also authenticate the asymmetric link between public–private partnership investment in energy and the environment, as CO2 emissions are caused mainly by positive shocks in public–private partnership investment in energy in the short and long run. This study proposes financing renewable energy projects through public–private partnership is needed for an environmentally friendly future.
      Citation: Energy & Environment
      PubDate: 2023-01-02T10:39:14Z
      DOI: 10.1177/0958305X221149483
       
  • Prioritizing factors for the sustainable growth of Vietnam's solar
           photovoltaic power market

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      Authors: Hong Eun Moon, Si Won Choi, Yoon Hee Ha
      Abstract: Energy & Environment, Ahead of Print.
      This study investigates the factors that affect the investment environment of the renewable energy industry in emerging countries, and quantifies them to derive relative priorities, drawing on the Vietnamese solar market as a critical case. Vietnam's solar photovoltaic (PV) market was exposed to various adverse policy situations during 2017–2019. The priorities of the determinant factors were derived using analytic hierarchy process analysis, based on a survey of 20 energy experts. The priority of the factors in Level 1 include, in descending order, policies, legal framework, profitability, ease of access to finance, infrastructure, and external factors. The top five of the 29 important factors in Level 2 are level of policy implementation, policy consistency (predictability), feed-in-tariff price, incentives and subsidies for foreign (direct) investment in solar PV, fruitage remittance, and transmission/distribution lines. We demonstrate that the active establishment and implementation of policies is crucial for the development of the renewable energy market. The improvement of the grid infrastructure and measures for system integration should be supported in accordance with solar power deployment. Therefore, actively engaging the interests of various stakeholders comprehensively and in a balanced manner during policymaking can be decisive in supporting stable market growth, facilitated by partnerships between local developers and international investors.
      Citation: Energy & Environment
      PubDate: 2023-01-02T10:37:56Z
      DOI: 10.1177/0958305X221146944
       
  • Investigating institutional quality and carbon mitigation drive in
           Sub-Saharan Africa: Are growth levels, energy use, population, and
           industrialization consequential factors'

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      Authors: Michael Appiah, Mingxing Li, Stephen Taiwo Onifade, Bright Akwasi Gyamfi
      Abstract: Energy & Environment, Ahead of Print.
      In view of the United Nations’ Sustainable Development Goals on clean and responsible energy consumption, climate change mitigation, and sustainable economic growth (UN-SDGs-7, 11–13), this study examines institutional quality (IQ)–carbon emissions nexus in the framework of the Environmental Kuznets Curve (EKC) hypothesis. Six dimensions of IQ from the World Governance Indicators (WGIs) were used while focusing on Sub-Saharan African (SSA) countries between 1996 and 2019. After controlling for growth, energy use, and industrialization levels, the empirical results validated the EKC hypothesis for the SSA as a unit increase in economic growth initially worsens the environment while further economic expansion eventually improves the environment. However, mixed results were obtained on the effects of IQ indicators. CO2 emissions are only substantially reduced by corruption control, regulatory quality, and the rule of law among other IQ measures. Furthermore, the causality analysis showed a unidirectional causality between growth and environmentally detrimental energy consumption levels coupled with a two-way emission-population growth causality flow as well as a two-way emissions—IQ causality channel. While economic growth, energy use, and industrialization levels undermine environmental sustainability in the SSA region via increased carbon emissions, the overall findings signal the moderating roles of IQ. Hence, the strengthening of institutions is recommended for environmental sustainability enhancement in the SSA region.
      Citation: Energy & Environment
      PubDate: 2022-12-29T12:23:35Z
      DOI: 10.1177/0958305X221147602
       
  • Integrating building information modeling and life cycle assessment to
           analyze the role of climate and passive design parameters in energy
           consumption

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      Authors: Sahar Falegari, Ali Akbar Shirzadi Javid
      Abstract: Energy & Environment, Ahead of Print.
      With the Architecture, Engineering, and Construction industry representing a significant share of global energy consumption and greenhouse gas emissions, developing sustainable design and reducing buildings’ environmental impacts has become a priority over the past decades. Adopting building information modeling tools and implementing them into life cycle analysis techniques at the early stages of design has been an effective method for buildings sustainability evaluation. With our environment constantly changing, it is reasonable that the construction industry should also aim to adapt to these changes and use them. However, the role of local climate features and their effects on a building's energy output is often neglected. By using building information modeling–life cycle analysis integration techniques, this research aims to consider the role of climatic attributes along with some passive design strategies in the life cycle assessment of the building and see how it affects that building's energy performance. By only applying passive design strategies (not including heating, ventilation, and air conditioning system type), the models’ energy demand was reduced up to 30% of the original value. It is also witnessed that by using the proper equipment and construction materials that match the respective climate, up to 28% of the building's energy consumption during the operational phase, can be saved. Although insulation of the walls does reduce energy consumption values, it also contributes to more greenhouse gas emissions. The increase in greenhouse gas emissions was estimated to be around 3%, but since the insulation boards make up only 2% of the building's area, it is a considerable amount.
      Citation: Energy & Environment
      PubDate: 2022-12-29T12:23:29Z
      DOI: 10.1177/0958305X221145923
       
  • Economic growth and carbon emission in the Organization for Economic
           Cooperation and Development countries: The effects of oil, gas, and
           renewable energy

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      Authors: Qiang Wang, Jiale Guo, Rongrong Li, Xue-ting Jiang
      Abstract: Energy & Environment, Ahead of Print.
      The world is stepping forward to a carbon-neutral economic system in response to the rising issues caused by climate change. Fossil fuel combustion is the primary source of increased carbon emissions, energy mix adjustment is critical to climate change mitigation and the carbon neutrality goal. This study investigates the different responses to energy sources’ economic growth and environmental sustainability using balanced panel data from 34 Organization for Economic Cooperation and Development (OECD) countries during 1995–2019. This study uses oil, natural gas, and renewable energy to represent traditional, emerging alternative fossil, and green energy sources, respectively. Results show that renewable energy, oil, and natural gas all impose impacts on economic growth, however, renewable energy contributes more than oil and natural gas. Furthermore, there is a significant inverse relationship between the amount of renewable energy produced and carbon dioxide (CO2) emissions. While both natural gas and oil have a positive effect on CO2 emissions, the effect of natural gas is much smaller than that of oil. Furthermore, the causality investigation reveals that renewable energy, oil, and natural gas all show impacts on carbon emissions but do not contribute to economic growth. These findings suggest that increasing investment in renewable energy, with natural gas playing the role of a transitional replacement for oil, will contribute to the “carbon neutrality” process of these countries.
      Citation: Energy & Environment
      PubDate: 2022-12-29T12:23:22Z
      DOI: 10.1177/0958305X221138817
       
  • Toward sustainable environment in Italy: The role of trade globalization,
           human capital, and renewable energy consumption

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      Authors: Min Zhang, Tomiwa Sunday Adebayo, Abraham Ayobamiji Awosusi, Muhammad Ramzan, Caner Otrakçı, Dervis Kirikkaleli
      Abstract: Energy & Environment, Ahead of Print.
      The current study evaluates the effect of financial development (FD), economic growth (GDP), trade globalization (TGLO), renewable energy consumption (REC), and human capital (HC) on ecological footprint (ECF) in Italy using data between 1985 and 2018. We further assess the combined impact of trade globalisation and human capital on ecological footprint as well as the combined effect of trade globalisation and human capital on ecological footprint. In order to explore these associations, the present research utilizes autoregressive distributed lag (ARDL) to catch both long and short-run associations between ecological footprint and its drivers. Furthermore, we use dynamic OLS (DOLS) and fully modified OLS (FMOLS) long-run estimators as robustness checks. Lastly, causality at different frequencies is captured using the frequency domain causality test. The outcomes of the ARDL estimator disclose that (a) a surge in ecological footprint is attributed to an increase in economic growth; (b) a decrease in ecological footprint is attributed to an increase in renewable energy, trade globalisation, and human capital; (c) the combined impact of human capital and trade globalisation lessen ecological footprint, and (d) combined effect of trade globalisation and human capital mitigate ecological footprint in Italy. Furthermore, the outcomes of the causality test revealed that all the exogenous variables can significantly predict ecological footprint in the long run with the exemption of financial development. Based on the study's findings, an SDG-focused policy framework is advocated.
      Citation: Energy & Environment
      PubDate: 2022-12-28T07:09:33Z
      DOI: 10.1177/0958305X221146941
       
  • The role of different paths of technological progress in improving China's
           energy efficiency

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      Authors: Jun Shao, Lianghu Wang
      Abstract: Energy & Environment, Ahead of Print.
      Improving energy efficiency is one of the most effective ways to address environmental constraints and achieve high-quality economic development. The existing literature suggests that technological progress has an important impact on energy efficiency, but ignores the role of different paths of technological progress. Herein, the impact of different technological progress paths on energy efficiency was analyzed using the dynamic panel data model and the threshold model based on the energy efficiency measurement using the Meta-frontier and Nonradial Directional Distance Function model. The findings of this study were as follows: (1) During the study sample period, a fluctuating upward trend was observed in China's energy efficiency, and there were significant differences in energy efficiency in different regions of China. (2) The energy efficiency in China could be significantly improved by domestic innovation and regional technology diffusion. Even though the imported technologies do not play a significant role in promoting energy efficiency and have no positive effect on the improvement of energy efficiency from the perspective of domestic technology absorption or foreign technology absorption. (3) The eastern and central regions of China improve their energy efficiency through domestic innovation. However, none of the technological progress paths in the western and low-energy-efficiency regions have played a positive role in promoting energy efficiency. (4) The effect of promoting domestic innovation and regional technology diffusion on energy efficiency is gradually increasing with human capital improvement, and the restriction of foreign technology import on energy efficiency has obviously decreased. In a nutshell, different paths of technological progress have differential effects on energy efficiency improvements. Based on the above results, this paper makes some targeted policy recommendations on the choice of technological progress paths to improve energy efficiency in different regions of China.
      Citation: Energy & Environment
      PubDate: 2022-12-28T05:33:48Z
      DOI: 10.1177/0958305X221148284
       
  • Techno-economic feasibility analysis of grid-connected residential PV
           systems in Algeria

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      Authors: Ghania Mohand Kaci, Achour Mahrane, Kaci Ghedamsi, Madjid Chikh
      Abstract: Energy & Environment, Ahead of Print.
      Small-scale photovoltaic (PV) power systems have been proven to be successful in generating electricity, conserving fossil fuels, and reducing greenhouse gas emissions in the residential sector, which is one of the largest consumers of energy. In Algeria, to reduce energy consumption in this sector, the authorities are considering implementing a policy that would encourage grid-connected residential PV systems. This paper presents a techno-economic assessment of grid-connected residential PV systems in four climate zones in Algeria. This work was performed using HOMER software for two different PV system configurations, grid/PV and grid/PV/battery. The technical performances of the considered systems were evaluated through the assessment of the self-consumption and self-sufficiency, while the net present value (NPV), internal rate of return (IRR), profitability index (PI), and discounted payback period (DPBP) were used to determine their feasibility. A sensitivity analysis was carried out to evaluate the effects of feed-in tariff (FiT), battery costs, and PV array capacity on the profitability of the systems. The results revealed that the grid/PV systems are technically and economically feasible in all of the four climate zones. For the grid/PV/battery systems, the grant of battery costs and the development of a regional FiT system are recommended. This article provides a tool for policymakers to assess the technical and financial performance of residential solar PV systems to develop adequate policy supports and tariff structures for Algeria.
      Citation: Energy & Environment
      PubDate: 2022-12-23T07:12:17Z
      DOI: 10.1177/0958305X221146953
       
  • Green coordinated development from the transformation perspective:
           Systemic coupling and dynamic correlation

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      Authors: Chengsong Wu, Hao Ang
      Abstract: Energy & Environment, Ahead of Print.
      To explore the core mechanisms of green synergistic development in China in the context of transition, this study takes 30 Chinese provinces and cities as a sample. Additionally, it is the first study to include digital finance, green finance, and ecological governance in the same research framework, and it innovatively explores the internal linkages between them from the perspective of systemic coupling and dynamic correlation. The study finds that the levels of digital finance, green finance, and ecological governance at the provincial level in China are all increasing to a certain extent. The coupling coordination degree between the three shows a development trend first rising and then falling in a transitional stage between barely coordinated and high-quality coordination, with developed regions having a higher coupling coordination degree, and less developed regions having a lower coupling coordination degree. From the dynamic correlation perspective, digital finance, green finance, and ecological governance all have a positive self-reinforcing effect, with the interaction effects being positively significant, except for the non-significant contribution of green finance to the level of digital finance and ecological governance. This study makes a series of theoretical suggestions that can optimize the transition path based on the reality of China's green development.
      Citation: Energy & Environment
      PubDate: 2022-12-23T07:10:07Z
      DOI: 10.1177/0958305X221145924
       
  • Fabrication of vanadium dioxide thin films and application of its
           thermochromic and photochromic nature in self-cleaning: A review

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      Authors: Valantine Takwa Lukong, Kingsley Ukoba, Tien-Chien Jen
      Abstract: Energy & Environment, Ahead of Print.
      Vanadium dioxide (VO2) and many binary compounds of vanadium can transform from a semiconducting state to a metallic state under the influence of temperature or light. The transformation is triggered by modifications in the oxide's crystalline structure, often initiated by changes in its light-sensing and electrical attributes. This ability makes them suitable for smart coatings, electronic switches, self-cleaning surfaces, window glass, and many more. These potential applications have prompted tremendous interest in VO2thin films, focusing on their fabrication and application. This article reviews current fabrication methods for VO2thin films, the potential application of their thermochromic and photochromic properties in self-cleaning coatings, the challenges facing their application, and some remedies devised to address the challenges. The various challenges facing its different synthesis and fabrication methods are also highlighted. First, the different transitional phases of VO2and routes to transform from one stage to the other are presented.
      Citation: Energy & Environment
      PubDate: 2022-12-23T07:08:37Z
      DOI: 10.1177/0958305X221145204
       
  • Magnetic particle-filled polyaniline-doped graphene oxide
           nanocomposite-based electrode in application of supercapacitor

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      Authors: Muazzin Mupit, Muhammad Remanul Islam, Mohd Asyadi Azam, Rosli Yunus, Ong Siew Kooi
      Abstract: Energy & Environment, Ahead of Print.
      In this study, the electrochemical characteristics of magnetic particle-filled conductive polyaniline-doped graphene oxide nanocomposites (MDiPG) were investigated. The graphene oxide was chemically exfoliated from natural graphite flakes by the modified Hummer's method. The nanocomposite was characterised through thermogravimetric analysis, scanning electron microscopy, transmission electron microscopy and X-ray diffraction. Its electrochemical characteristics were evaluated by cyclic voltammetry and galvanostatic charge/discharge tests. The nanocomposite electrode material was obtained through in situ polymerisation of polyaniline-doped graphene oxide combined with the mixing of a magnetic substance. The supercapacitor cell was composed of symmetric magnetic-derived electrodes, polypropylene separator, and 6M KOH as an electrolyte. The cyclic voltammetry curve study showed a good relation of both materials, where a high specific gravimetric capacitance was achieved at 303 F/g.
      Citation: Energy & Environment
      PubDate: 2022-12-23T07:06:38Z
      DOI: 10.1177/0958305X221145185
       
  • A hybrid technique for optimal power quality enhancement in grid-connected
           photovoltaic interleaved inverter

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      Authors: K Vidhya, K Krishnamoorthi
      Abstract: Energy & Environment, Ahead of Print.
      A grid-connected photovoltaic (PV) system with interleaved inverter using a hybrid approach is presented in the paper. Generally, high deviation of DC voltage causes severe damage to the grid-linked system generate power quality issues. Therefore, a hybrid technique called LA-HBO, which is a combination of Lichtenberg optimization algorithm (LA) and heap-based optimizer, is proposed. The proposed method works with the interleaved inverter to realize a multifunctional operation and improve the power quality efficiency of the system. Here, LA techniques improve the power generated from PV and self-charging of the DC-link voltage control loop. The reference current signal is generated through the self-charging DC-link voltage control loop to eliminate the power quality issues. The double band hysteresis current controller generated a minimum switching frequency to provide low switching losses. A MATLAB platform is utilized to implement the proposed system, and the performance of the system is compared with other existing techniques. The test result validated that the proposed system can able to perform multilevel functions and produce power with high quality compared to other techniques. The value for the THD that achieves the proposed hybrid technique is 21.22%. The elapsed time of the proposed hybrid technique is 2.09 seconds.
      Citation: Energy & Environment
      PubDate: 2022-12-22T05:37:58Z
      DOI: 10.1177/0958305X221140574
       
  • Quantifying the excess carbon footprint and its main determinants of
           Spanish households

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      Authors: Ramón Mahía, Rafael de Arce
      Abstract: Energy & Environment, Ahead of Print.
      New evidence is provided on the determinants of the carbon footprint (CF) at the household level, using the Spanish case as an example and data from the Household Budget Survey (HBS) and the E-MRIO database. The research presents two new contributions. On the one hand, the basis of analysis on what we call ‘Excess per capita CF’, that is, the part of CF that exceeds a threshold associated with a minimum per capita consumption of each product in a household, below which level it is difficult to expect reductions in consumption. Second, the use of a quantile regression (QR) approach for the estimation of the drivers of CF. Both issues imply important changes in the consideration of the influence of some drivers considered so far in the literature, related to which CF quantile the household is in. These differences between an ordinary least squares (OLS) and the QR are especially significant for variables such as income, household size, occupation, age, household composition, housing area and area of residence.
      Citation: Energy & Environment
      PubDate: 2022-12-20T08:05:08Z
      DOI: 10.1177/0958305X221140582
       
  • Machine learning-based thermo-electrical performance improvement of
           nanofluid-cooled photovoltaic–thermal system

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      Authors: Sourav Diwania, Maneesh Kumar, Rajeev Kumar, Arun Kumar, Varun Gupta, Pavan Khetrapal
      Abstract: Energy & Environment, Ahead of Print.
      Hybrid photovoltaic–thermal (hPVT) collectors are devices that allow the conversion of sun energy into useful thermal and electrical energy simultaneously. The power obtained from the photovoltaic (PV) module introduces random fluctuations into the system. While obtaining the data for PV power output in advance and for reducing the impact of random fluctuations, exact day-ahead PV power prediction is crucial. Machine learning algorithms have been proven an effective tool in PV technology for day-ahead prediction of PV-power output. This research employs the Gaussian process regression method using the Matlab environment for forecasting the hPVT collector's performance operating with pure water and Fe/water nanofluid. A one-year historical data pertaining to solar irradiance as well as ambient temperature for Roorkee (29.8543 °N, 77.8880 °E), India location has been used to validate the proposed model. This data is utilized for day-ahead forecasting of solar irradiance and ambient temperature. The outcome elucidates that as the mass-flow rate increases, the thermo-electric performance of the hPVT collector enhances. Raising the mass-flow rate of Fe/water nanofluid from 0.01 to 0.1 kg/s, the cell temperature decreases by 9.35 °C and 9.47 °C, respectively, for the actual and predicted data. The thermal, electrical, as well as overall efficiency of the hPVT collector, improves by 2.73%, 7.11%, and 9.84%, respectively, using Fe/water nanofluid (ϕ = 2%) in contrast to the water-cooled PVT system. Finally, results demonstrate that the outcomes obtained using the forecasted data closely follow the results obtained using the actual data. In conclusion, this analysis provides a comprehensive solution for utilizing nanofluids as a coolant in the most cost-effective ways.
      Citation: Energy & Environment
      PubDate: 2022-12-20T06:26:06Z
      DOI: 10.1177/0958305X221146947
       
  • Exploring the heterogeneous effects of technological innovations on
           environmental sustainability: Do structural change, environmental policy,
           and biofuel energy matter for G7 economies'

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      Authors: Liu Junsong, Ridwan Lanre Ibrahim, Abubakar Mohammed, Mamdouh Abdulaziz Saleh Al-Faryan
      Abstract: Energy & Environment, Ahead of Print.
      The global economy has realized that global warming issues should not be treated with levity. Instead, conscientious and meticulous measures must be taken to address the unwavering ravaging impacts of ecological complications of which technological innovations stand out. Despite the emphasis on technology as a viable pathway to zero emissions by the recent 26th Conference of the Parties (COP26), the feasibility of achieving the global target remains vogue from the empirical perspective. Hence, this study presents the first empirically based evidence on the heterogeneous effects of technological innovations on environmental sustainability in Group of Seven (G7) countries from 1995 to 2019. For robust policy insights, the study controls for the functional roles of structural change, environmental policy, biofuel energy, and trade openness in verifying the empirical model. The empirical evidence relies on second-generation estimators comprising cross-sectional autoregressive distributed lag (CS-ARDL), augmented mean group (AMG), common correlated effects mean group (CCEMG), and panel method of moment quantile regression (PMMQR) that are robust for the issues of slope heterogeneity and cross-sectional dependence. The main findings show that the various components of technological innovations, structural change, environmental policy, and biofuel energy support environmental sustainability by exerting statistically adverse effects on CO2 emissions. In contrast, trade openness appears as a deterrent to sustainable environment by statistically and positively impacting CO2 emissions. Besides, the findings reveal bidirectional and unidirectional causality pathways in the nexuses investigated for G7. Based on the empirical fallouts, viable policy insights that lead to achieving the net zero emissions target are formulated.
      Citation: Energy & Environment
      PubDate: 2022-12-20T06:23:26Z
      DOI: 10.1177/0958305X221145922
       
  • A generic algorithm-based application for pinch-exergy prediction in
           process industries: A case study

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      Authors: Khalid Ibaaz, Mustapha Oudani, Imad El Harraki, Moha Cherkaoui, Amine Belhadi, Sachin Kamble
      Abstract: Energy & Environment, Ahead of Print.
      In the industrial sector, efficient production and optimal use of thermal energy are primary concerns for managers and engineers. Considerable research has been devoted to improving and promoting thermal energy efficiency, especially energy recovery in the context of sustainability. Pinch analysis is one of the most powerful methods in this regard. To maximise the energy recovery (MER), the pinch method is well-established in designing an optimal heat exchange network (HEN). Exergy analysis is combined with the pinch method to minimise the work potential loss (exergy loss) while ensuring maximum heat recovery. This study presents a generic algorithm built using Python language to predict and quantify energy and exergy targets in industrial processes. It provides a framework to guide experts and planners in efficiently using the combined analysis tools. The generic algorithm is based on advanced numerical and graphical tools. It provides exergy problem table algorithm (Ex–PTA) and grand composite curve (EHR and HRP) tools. For ΔTmin = 10°C, the generic algorithm is implemented in a building complex case study. The energy targets for heating and cooling requirements are 316.2625 kW and 0 kW, respectively. The obtained exergy targets are less attractive given an improvement from advanced utility integration; this is due to the treated system (medium-temperature system) and not to the reliability and efficiency of the generic algorithm. To evaluate the generic algorithm calculations, they are executed in a low-temperature process in which pinch exergy analysis (PExA) has already been performed. The simulated and generated results are identical, demonstrating the reliability and effectiveness of the developed generic algorithm.
      Citation: Energy & Environment
      PubDate: 2022-12-20T06:21:46Z
      DOI: 10.1177/0958305X221143414
       
  • Analyzing the mechanism among rural financing constraint mitigation,
           agricultural development, and carbon emissions in China: A sustainable
           development paradigm

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      Authors: Bohan Sun, Ruiqi Sun, Ke Gao, Yifan Zhang, Shuyue Wang, Puxian Bai
      Abstract: Energy & Environment, Ahead of Print.
      Agricultural development in developing countries generally faces increasingly severe financing constraints, and China's practice provides a model for other countries. This article investigates the impact of the policy to alleviate rural financing constraints on agricultural carbon emissions in developing countries by using a quasi-natural experiment, the “Incremental Incentives for Agricultural Loans from County Financial Institutions,” implemented in China, with data from 2005 to 2018, and with a DID approach. It is found that under the influence of this policy, the alleviation of agricultural financing constraints will significantly generate an increase in the intensity of agricultural carbon emissions, which is triggered by the fact that the alleviation of financing constraints increases the production factors invested per unit area in the agricultural production process, while the increase in the mechanization and scale of agriculture will assist to reduce the contribution of the alleviation of financing constraints to carbon emissions. The impact of financing constraint alleviation on agricultural carbon emissions may differ among places with different economic and social development and agricultural bases. Additionally, the alleviation of rural financing constraints can promote agricultural development and increase farmers' income, enabling other developing countries to adjust their policy orientation when adopting such policies, thus promoting agricultural development while controlling agricultural carbon emissions and contributing to the global emission reduction cause.
      Citation: Energy & Environment
      PubDate: 2022-12-20T06:19:06Z
      DOI: 10.1177/0958305X221143413
       
  • The important contribution of renewable energy technologies in overcoming
           Pakistan's energy crisis: Present challenges and potential opportunities

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      Authors: Rafiq Asghar, Mohd H Sulaiman, Zuriani Mustaffa, Nasim Ullah, Waqas Hassan
      Abstract: Energy & Environment, Ahead of Print.
      In recent years, the environmental and economic consequences of coal, gasoline and other conventional energy sources have been widely discussed. Currently, Pakistan's energy output is highly dependent on these resources; as a consequence, the country is facing a severe energy crisis. The government spends more than $3.7 billion annually on fossil fuel imports, which has a significant impact on an already vulnerable economy. Moreover, the country is ranked as the seventh-most impacted region by climate change, making it critical for the government to take proactive measures. Renewable energy that is both economical and sustainable will become a realistic and viable choice for satisfying Pakistan's current and future energy demands. This article provides a detailed overview of Pakistan's long-standing energy scarcity concerns and discusses the country's current renewable energy challenges and opportunities. Additionally, Pakistan's efforts in the realm of renewable energy are compared to those of other Asian nations in order to understand how these countries are advancing renewable energy sources. Numerous statistics show that despite government initiatives, the amount of power generated from renewable sources falls short of the Indicative Generation Capacity Expansion Plan’s (IGCEP’s) 2025 and 2030 targets. Achieving these aspirational targets will require competent policies, incentives, technological expertise and substantial political and financial commitments. Hence, this article also advised policymakers and city municipalities on how to enhance energy infrastructure, knowledge and the capacity for overcoming future challenges. In contrast, the development of renewable energy in Pakistan has been an extremely successful endeavour, but an effective and efficient approach is necessary to leverage the benefits of rapid progress.
      Citation: Energy & Environment
      PubDate: 2022-12-20T06:17:44Z
      DOI: 10.1177/0958305X221134110
       
  • Exploring the heterogeneous impact of technological innovation on income
           inequality: Formulating the SDG policies for the BRICS-T economies

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      Authors: Tomiwa Sunday Adebayo
      Abstract: Energy & Environment, Ahead of Print.
      The present research evaluates the effect of technological innovation distribution on the distribution of income using data from between 1992Q1 and 2019Q4 for the BRICS-T (Brazil, Russia, India, China, South Africa, and Turkey) nations. The BRICS-T nations present a good case for this research since this problem could be more widespread in developing countries with high prospects for economic growth. The quantile causality and quantile-on-quantile regression techniques have been used to evaluate this association. The research findings provide a range of outcomes from different countries, which can be grouped into three categories; (i) Technological innovation impacts income inequality positively. (ii) Technological innovation distribution impacts income inequality distribution negatively. (iii) The effects of technology innovation on income distribution are not evenly distributed. Significant policy ramifications are deduced that might inspire sustainable development plans in the BRICS-T nations. This research is one of the first studies to demonstrate a direct connection between income inequality and technological innovation across various quantiles within a country. The study also effectively shows how these techniques are utilized to deduce the policy ramifications of the Sustainable Development Goals (SDGs).
      Citation: Energy & Environment
      PubDate: 2022-12-19T04:44:44Z
      DOI: 10.1177/0958305X221145926
       
  • Estimating the carbon dioxide emission levels of G7 countries: A count
           data approach

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      Authors: Siele Jean Tuo, Chang Li, Ettien Fulgence Brou, Diby Francois Kassi, Yobouet Thierry Gnangoin
      Abstract: Energy & Environment, Ahead of Print.
      The G7 countries account for about 40% of the global gross domestic product and emit 25% of energy-related emissions due to their energy use, releasing so much carbon dioxide (CO2) into the atmosphere. This study uses competing count data models to model carbon emissions between 2002 and 2021. All the hypotheses are significant and with varied effects on the energy use of the G7 economies, backing the increasing levels of emissions. The findings show that emissions from manufacturing and construction have mixed effects on the energy use of the G7 countries, increasing by 2.37% and reducing by 6.65% and 8.39% in some countries. The study proves that the transport sector is the hard-to-abate sector as the effects of the transport covariate impact minimally between 6.49% and 4.13% of the G7. This means that the transport sector is the high-hanging fruit for deep decarbonization due to the low level of technology readiness. Also, emissions from solid fuels increase between 6.49% and 4.13% in the G7 countries, implying that coal consumption has peaked due to the current energy crisis. The cross-sectional dependence (CD) analysis proves a strong significant dependence among the study countries depicting the global nature of pollution. The fitness of the model was performed using the Akaike and Bayesian information criteria to determine the appropriate method to present robust and consistent results. The panel's negative Poisson regression model obtains the lowest Akaike information criteria and Bayesian information criteria values and is therefore the most appropriate model for the analysis. This will serve as a rallying point for achieving net zero emission (NZE) targets by mid-century and for scaling technologies to achieve that goal.
      Citation: Energy & Environment
      PubDate: 2022-12-14T11:12:21Z
      DOI: 10.1177/0958305X221143416
       
  • How does the digital economy affect energy efficiency' Empirical
           research on Chinese cities

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      Authors: Yongrong Xin, Xiyin Chang, Jianing Zhu
      Abstract: Energy & Environment, Ahead of Print.
      Promoting high-quality economic development, boosting high-level ecological environment protection, and integrating deeply digital economy and energy efficiency has become a general trend. This paper, based on 284 prefecture-level Chinese cities from 2008 to 2018, uses the entropy weight method and super-efficient SBM-DEA model to measure the digital economy and energy efficiency (decompose into energy pure technical efficiency and energy scale efficiency), respectively. After the spatial and temporal evolution characteristics, a fixed-effect model is constructed to study the impact of the digital economy on energy efficiency. The research results show that: (1) the development of the digital economy effectively promotes energy efficiency, mainly reflected in the improvement of pure technical efficiency of energy; (2) the development of both the digital economy and the energy efficiency in China has complex spatial and temporal evolutionary characteristics, and there is heterogeneity in the impact of the digital economy on energy efficiency at the temporal and spatial levels; and (3) digital economy effectively improves energy efficiency by reducing unnecessary energy consumption through the R&D innovation effect. The development of the digital economy has far-reaching significance on the optimization and upgrading of the economic system, accelerating the improvement of energy efficiency and achieving green transformation.
      Citation: Energy & Environment
      PubDate: 2022-12-13T06:41:26Z
      DOI: 10.1177/0958305X221143411
       
  • What drives carbon emissions reduction in Beijing' An empirical study
           based on SDA and SPD

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      Authors: Changfeng Shi, Yue Yu, Chenjun Zhang, Qiyong Chen
      Abstract: Energy & Environment, Ahead of Print.
      A large number of studies have been conducted to examine China’s CO2 emissions problem disaggregated to the city level. However, few studies have delved further into the black box of economic production to examine the characteristics of CO2 emissions at the city supply chain level. In the context of the reality that Beijing takes the lead in achieving CO2 emissions reduction, this study decomposes CO2 emissions change in Beijing at three levels: overall, supply stage, and supply chain, using structural decomposition analysis (SDA) and structural path decomposition (SPD), filling the gap in urban CO2 emissions studies. The results show that: (i) energy consumption intensity is the most significant driver of emissions reduction, while per capita final demand is the largest factor in increasing emissions; (ii) Beijing’s emissions reduction contribution is mainly reflected in the first supply stage (76.50%) and the second supply stage (18.85%); (iii) the expansion of domestic exports and thus greater demand for transportation is significant in emissions increase supply chains; (iv) the improvement of the demand structure for electricity from domestic exports contributes a large part in emissions reduction supply chains; (v) the existence of many offsetting effects, such as the ebb and flow of domestic exports on the demand for different products, has led to the loss of emissions reduction. Finally, corresponding policy recommendations are presented from the energy, industry, and demand perspectives. Our study will provide assistance in developing more microscopic policies to reduce emissions and replicating the Beijing experience.
      Citation: Energy & Environment
      PubDate: 2022-12-13T06:24:13Z
      DOI: 10.1177/0958305X221134109
       
  • A hybrid WFS-CGO based approach for optimal allocation of EV charging
           spots along with capacitors in smart distribution network for congestion
           management

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      Authors: VJ Vijayalakshmi, A Amudha, K Dhayalini, A Prakash
      Abstract: Energy & Environment, Ahead of Print.
      In this document, a new methodology for the optimal allocation of capacitor electric vehicle (EV) charging points on smart grid systems is introduced. To realize a better balance between exploring and exploiting Wing suit Flying Search (WFS), the Chaos Game Optimization (CGO) algorithm is used on WFS performance. Thus, it is named the WFS-CGO approach. Here, along with reactive compensation, allocation of parking and capacitors is presented for congestion management. The proposed approach is used to limit the amount of parking space. The performance of the proposed system is tested on a IEEE 34 bus distribution network. The outcome obtained by the QGDA system is compared to existing procedures like PSO, ALO, ACSO, WFSA, and WFS2ACSO techniques. Under cases 1, 2, and 3, after EV loss, the proposed technique achieves 216.3397, 232.9558, and 265.0174. Additionally, the proposed outcomes portray that an uneven EV charging scenario may cause an important voltage imbalance that goes beyond their allowable limit of 2%.
      Citation: Energy & Environment
      PubDate: 2022-12-12T09:14:19Z
      DOI: 10.1177/0958305X221141398
       
  • The moderating role of natural resources between governance and CO2
           emissions: Evidence from MENA countries

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      Authors: Naima Sadoui, Lotfi Zabat, Habib Sekrafi, Mehdi Abid
      Abstract: Energy & Environment, Ahead of Print.
      Despite the diversity of theoretical studies, natural resources’ moderating role between governance indicators and environmental quality remains a controversial issue. The purpose of this paper is therefore to clarify the nature of this role in the Middle East and North Africa (MENA) countries from 1996 to 2017 relying on the generalized method of moments system estimators. The empirical results reveal that corruption control, political stability, rule of law, voice and accountability, and government effectiveness increase CO2 emissions, while regulation quality does not affect CO2 emissions. Our findings also show that FDI and GDP increase CO2 emissions. However, natural resources moderate the governance indicators to reduce CO2 emissions. Therefore, policy-makers should increase public awareness of the best use of natural resources. Thus, improving governments’ institutional framework will generally contribute to reducing the greenhouse gas emission levels in the MENA countries.
      Citation: Energy & Environment
      PubDate: 2022-12-06T05:04:13Z
      DOI: 10.1177/0958305X221141389
       
  • The role of information and communication technologies in achieving
           hydropower sustainability: Evidence from European Union economies

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      Authors: Xiaohui Wang, Mohd Alsaleh, Abdul Samad Abdul-Rahim
      Abstract: Energy & Environment, Ahead of Print.
      This study aims to investigate the impacts of information, communication, and technology (ICT) factors and economic growth on the hydropower output in the European Union (EU) states from 1990 to 2021. Adopting the autoregressive distributed lag, findings from this study revealed that there could be a significant increase in the hydropower industry growth in EU14 emerging economies using ICT factors than in EU13 emerging economies. It was also discovered that economic growth makes more of a significant contribution to hydropower growth in EU13 emerging economies than in EU14 emerging economies. Findings from this study further revealed that there could be a significant decrease in the carbon dioxide emissions among the EU14 emerged economies using hydropower output than in EU13 emerging economies. This points to the fact that hydropower growth in EU region countries could significantly be enhanced by increasing the level of ICT determinants to achieve Energy Union aims by 2030. This will as well be effective in minimizing or reducing the risk effect of climate change and environmental pollution. Using the pooled mean group, mean group, and dynamic fixed effect methods, the projected calculations are observed to be valid and this study recommended that EU nations should intensify the use of ICT in achieving sustainable environmental and societal goals. The sustainability and security of hydropower production could also be enhanced through legislation. Lawmakers should become active in the green ICT aspects.
      Citation: Energy & Environment
      PubDate: 2022-12-02T06:22:04Z
      DOI: 10.1177/0958305X221137566
       
  • Forecasting United Kingdom's energy consumption using machine learning and
           hybrid approaches

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      Authors: Dahiru A Bala, Mohammed Shuaibu
      Abstract: Energy & Environment, Ahead of Print.
      Investigating the current and future dynamics of energy consumption in modern economies such as the UK is crucial. This paper predicts the UK's energy consumption using data spanning January 1995 to March 2022 by comparing and evaluating the forecast performance of machine learning, dynamic regression, time series and combination modelling techniques. The analysis reveals that the seasonal ARIMA and TBATS hybrid models yield the lowest forecast errors in predicting the UK's electricity and gas consumption. Although the combination forecasts performed poorly relative to other models, machine learning techniques such as neural network and support vector regression produced better results compared to the dynamic regression models, whereas the seasonal hybrid model performed better than the machine learning and time series models. The results indicate that the UK's electricity consumption would either stabilise or decline over the forecast horizon, suggesting that it will take some years for electricity consumption to attain pre-2019 levels. For gas consumption, the results indicate that consumption would either maintain current levels or increase over the forecast period. We also show that combination forecasts do not often generate the best predictions, and therefore, choice of methodology matters in energy consumption forecasting. Overall, changing seasonal patterns, energy efficiency improvements, shift to renewable sources and uncertainties due to the COVID-19 pandemic, Brexit, and the Russia–Ukraine crisis appear to be significant drivers of energy consumption in the UK in recent times. These findings are expected to help in designing more effective energy policies as well as guide investor decisions in the energy sector.
      Citation: Energy & Environment
      PubDate: 2022-12-01T06:24:43Z
      DOI: 10.1177/0958305X221140569
       
  • The effects of oxygen index on soot formation of ethylene, propane and
           their mixtures in coflow diffusion flames

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      Authors: Dongsheng Zheng, Xin Hui, Xin Xue, Weitao Liu
      Abstract: Energy & Environment, Ahead of Print.
      Oxygen index (OI) effects on soot formation and oxidation of ethylene, propane and their mixtures were investigated in coflow diffusion flames. Experimental results show that the peak soot volume fraction (SVF) firstly increases and then reaches the plateau region as OI increases from 0.21 to 0.42 in ethylene and 90%ethylene/10%propane mixture flames. However, the peak SVF firstly increases and then decreases with the increase of OI in propane flame. All these three cases present a consistent trend in terms of maximum soot yield which increases first and then decreases as OI increases. Synergistic effect was captured in ethylene/propane mixtures while it was firstly enhanced and then mitigated when OI increases in the investigated OI range. Numerical simulations were also conducted. A significant relationship was found among flame temperature, O2 mole fraction and SVF in terms of their spatial gradients. The non-linear trends of SVF and soot yield with OI can be attributed to the competition between soot formation and oxidation. Such competition was also indicated from polycyclic aromatic hydrocarbons (PAHs) growth. Numerical analyses revealed that small radicals including O, CH2 and C6H5 contribute to the non-linear changes of PAHs in the synergistic effect.
      Citation: Energy & Environment
      PubDate: 2022-11-30T07:59:50Z
      DOI: 10.1177/0958305X221140573
       
  • Motivating people to adopt electricity management system based on
           push–pull–mooring model

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      Authors: Chien-Wei Ho
      Abstract: Energy & Environment, Ahead of Print.
      With growing concerns about power and environment issues, smart grid technology, such as meter data management systems, can be viewed as a great solution to handle issues of the environment and energy efficiency. Based on the push–pull–mooring (PPM) model, this research views dissatisfaction, personal innovativeness, information quality, locatability, economic benefits, and perceived value as predictors to examine their impact on switch intention to an electricity management system. The analysis results display that dissatisfaction has no significant effect on switch intention. As a mooring variable, personal innovativeness not only influences switch intention positively, but also moderates the relationship between perceived value and switch intention. Moreover, through perceived value, locatability and economic benefits influence switch intention positively. This research fills the gap in government policies as well as energy companies and provides ponderable suggestions if a government and energy companies would like to change citizens’ behavior from paper-based bill to electricity management system. The government and energy companies should not overlook the effect of personal innovativeness and perceived value and put more effort to publicize the advantages of locatability and economic benefits.
      Citation: Energy & Environment
      PubDate: 2022-11-29T10:27:45Z
      DOI: 10.1177/0958305X221141394
       
  • A systematic literature review on hybrid energy system

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      Authors: Uttara Das, Champa Nandi, Sarbani Mandal, Somudeep Bhattacharjee
      Abstract: Energy & Environment, Ahead of Print.
      Generation of energy has to increase due to society's demand escalation. However, generation from conventional sources is one of the major reasons for greenhouse gas emission, which is a key reason for global warming and climate change issues. To mitigate the emission of greenhouse gas and to protect the environment from pollution, renewable energy sources (RESs) are the one and only effective solution till date. To reduce the fluctuation of RESs on energy generation, a RES-based hybrid system is an innocuous solution. Here, a brief discussion of hybrid systems and their opportunities are presented and reviewed the role of the different combinations of renewable energy-based hybrid systems to reduce environmental pollution, generation costs, improve efficiency, and achieve a continuous power output of the system. A discussion is made on the importance of the site selection and the importance of different kinds of storage systems for energy generation. Result of article gives a brief idea regarding different factors to design future hybrid energy system (HES).
      Citation: Energy & Environment
      PubDate: 2022-11-29T05:42:40Z
      DOI: 10.1177/0958305X221140576
       
  • Energy management approach in electric vehicle with optimizing electricity
           consumption cost using hybrid method

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      Authors: M Vijayaragavan, V Krishnakumar, V Vasan Prabhu
      Abstract: Energy & Environment, Ahead of Print.
      This paper proposes a hybrid approach for the optimal design of electric vehicle (EV) home energy management. The proposed hybrid system combines the execution of the Lichtenberg optimization algorithm and the heap-based optimizer; hence, it is named as LAHBO method. The main purpose of the proposed system is the reduction of costs and improvement of the power factor. Thus, two phases of optimization, such as Lichtenberg optimization algorithm–based cost minimization and heap-based optimizer–based power factor improvement. At initial phase, power conversation, and operating time of the smart home components are decided using the Lichtenberg optimization algorithm method. It is categorized into four groups, such as interruptible, uninterruptible, thermostatically controlled, and non-programmable loads. In second phase, the residential power factor at grid connection point is improved using the heap-based optimizer approach. Finally, the proposed system is carried out on MATLAB platform related to several existing approaches. The proposed method enhances the power factor and diminishes the cost than the existing method. The cost of proposed method is 0.16$ and existing approaches such as CGO, SMO, and SOA cost become 0.2, 0.3, and 0.35$, respectively.
      Citation: Energy & Environment
      PubDate: 2022-11-29T05:38:40Z
      DOI: 10.1177/0958305X221135020
       
  • The future of the shale industry in light of the fluctuations in global
           oil prices

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      Authors: Zaid Zuhaira, Jizu Li, Hayder Dhahir Mohammed
      Abstract: Energy & Environment, Ahead of Print.
      During the twentieth and twenty-first centuries, the oil industry has been pivotal in influencing all countries’ geopolitical, economic, and human development strategies. Until recently, the debate was about peak oil and what would happen after oil finished. However, due to technological advances and hydraulic fracturing, shale oil formations have become economically viable due to the United States’ desire to achieve energy security to make a qualitative shift in the oil industry and the geopolitics of oil. Therefore, this paper deals with an economic model that illustrates the impact of oil price fluctuations to the shale oil and gas companies by analyzing the main determinants of continuity of shale oil and gas companies in production if global oil prices decline or rise. In addition, the study will investigate the effects of OPEC+ policy and Covid-19 on the future of shale oil industry. The study will discuss some future scenarios for global energy trends and predict what the shale industry will look like in the future. The study concluded the shale industry faces an internal destructive process (within the industry itself) and external (Renewable energy, OPEC and Covid-19). The stability of oil prices is a critical factor that promotes the shale industry's recovery. However, shale industry is expected to continue with low productivity growth rates and continuing government support for it.
      Citation: Energy & Environment
      PubDate: 2022-11-29T05:37:01Z
      DOI: 10.1177/0958305X221129223
       
  • Reduce carbon emissions efficiently: The influencing factors and
           decoupling relationships of carbon emission from high-energy consumption
           and high-emission industries in China

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      Authors: Xiaopeng Guo, Rong Shi, Dongfang Ren
      Abstract: Energy & Environment, Ahead of Print.
      High-energy consumption and high-emission industries contribute a lot to economic development, but their carbon emissions are also huge. In order to achieve the dual-carbon target as early as possible, it is necessary to reduce the carbon emissions of high-energy consumption and high-emission industries. This paper selected five representative factors (population, per capita gross domestic product (GDP), energy intensity, energy structure and carbon emission coefficient) and adopted the logarithmic mean divisia index (LMDI) method to decompose the driving factors of carbon emissions. Therefore, this paper uses Tapio decoupling model to analyze the decoupling relationship between the two factors with the greatest impact on carbon emissions and carbon emissions. The results show that: (i) There is a good decoupling between high-energy consumption and high-emission industries and per capita GDP, and the impact of per capita GDP on carbon emissions will gradually decrease in the future; (ii) The decoupling relationship between carbon emissions and energy intensity is poor. For some industries, the reduction of energy intensity can help reduce carbon emissions. Finally, this paper puts forward some suggestions to promote carbon emission reduction. This paper provides theoretical support for studying how to reduce carbon emissions and formulate relevant emission reduction policies in the high-energy consumption and high-emission industries.
      Citation: Energy & Environment
      PubDate: 2022-11-28T08:07:39Z
      DOI: 10.1177/0958305X221140567
       
  • Wind farms in contested landscapes: Procedural and scale gaps of wind
           power facility constructions in Japan

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      Authors: Satomi Kohyama, Ryo Kohsaka
      Abstract: Energy & Environment, Ahead of Print.
      The legal system for renewable energy in Japan, Feed-in Tariff system, was deregulated in 2021 by the central government to reflect the international calls to reduce greenhouse gas emissions. However, this sudden change has raised concerns about social, environmental, and long-term economic sustainability. Thus, we conducted a state-of-the-art review of legal and policy frameworks of wind power projects in Japan and discussed the multi-layered structure at national- and municipal-level ordinances. By doing so, several gaps are highlighted. First, there are procedural gaps that business operators can de facto bypass by checking the environmental procedures. Second, there are issues at the scale (national or local), where the decisions are met. For example, while the overall framework is decided at the national level, the most contentious issues of the location of wind power facilities are left at the local level, where residents, municipalities, and developers are burdened to solve these issues. Third, in the current legal system, environmental impacts on popular natural landscapes are not taken into consideration. In the face of deregulation and concerns about multiple factors, there has been an increase in the number of municipalities opposing the construction of wind farms. Finally, existing legal cases related to wind power projects are provided to illustrate changes and disputes at different sites across Japan. These cases demonstrated how landscape elements (e.g. biodiversity) can be vital for wind power project development in Japan.
      Citation: Energy & Environment
      PubDate: 2022-11-28T06:50:18Z
      DOI: 10.1177/0958305X221141396
       
  • The impact of heterogeneous environmental regulations on carbon neutrality
           in China: New evidence based on the spatial measurement model

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      Authors: Yuanhua Yang, Zhongwen Peng, Dengli Tang
      Abstract: Energy & Environment, Ahead of Print.
      Identifying the differentiated effects of different environmental regulations is the basis for promoting China's zero carbon emissions and carbon neutrality. We used Chinese provincial panel data from 2003 to 2017 to empirically test the impact of different environmental regulations on carbon neutrality through spatial measurement models. The highlights of the study are as follows: (1) Environmental regulations exert significant impact on carbon emissions, but different types of environmental regulations exert significantly different effect on carbon emissions. Public participation environmental regulation has a control effect on regional carbon emissions, while command-based and market-based environmental regulations had no significant effect on regional carbon neutrality. (2) The heterogeneity of the impact of different types of environmental regulations on carbon emissions can also be identified from the regional impacts heterogeneity and lags impact heterogeneity. (3) The combined mandatory and market-based environmental regulations and the combined mandatory and public-participatory environmental regulations significantly inhibited regional carbon neutrality.
      Citation: Energy & Environment
      PubDate: 2022-11-28T06:49:08Z
      DOI: 10.1177/0958305X221140578
       
  • Navigating the paths to sustainable environments via energy security,
           renewable energy and economic complexity: Evidence from array of pollution
           metrics

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      Authors: Emmanuel Uche, Narasingha Das, Nnamdi Chinwendu Nwaeze, Pinki Bera
      Abstract: Energy & Environment, Ahead of Print.
      Empirical narratives pertaining to the implications of energy security (ENS) on environmental quality (EQ), particularly in the context of Emerging Seven (E7) countries, are currently understudied. Likewise, the influence of renewable energy (RWN), economic complexity (ECI) and environmental control technology (EVT) on EQ is still unsettled. Thus, based on arrays of pollution metrics (ecological footprint (ECF), carbon emission damage (CO2D) and consumption-based carbon emissions (CCO2) and annual panel series spanning 1990–2018, this study provides fresh insights into the implications of the listed variables on EQs in E7 countries. Accordingly, the following empirical narratives were established: (i) The effects of the enlisted panel series on EQ are sensitive to the peculiarities of each pollution metric. (ii) Estimates of the pool mean group autoregressive distributed lag (PMG-ARDL) model and those of cross-sectional augmented autoregressive distributed lag (CS-ARDL) underscore the important roles of ENS and RWN on EQ, particularly on ECF; and ECI on CO2D. While EVT provides insignificant carbon emission reducing effects across all variants of EQ indicators, population and economic growth are all time-significant pollution enablers. (iii) The outcomes of the panel quantile regression demonstrate that ENS enhances EQ only at the 25th and 50th quantiles and accelerates pollution at the 75th and 95th quantiles. RWN enhances EQ across all quantiles while ECI deaccelerates ECF and CO2D and accelerates CCO2 across all quantiles. Furthermore, EVT accelerates ECF and CO2D while it deaccelerates CCO2 across all quantiles. Meanwhile, the unpleasant effects of growth and population are reemphasized. Policy strategies to ensure a sustainable environment in E7 have been highlighted.
      Citation: Energy & Environment
      PubDate: 2022-11-28T06:47:39Z
      DOI: 10.1177/0958305X221140571
       
  • The effects of Trichoderma atroviride pretreatment on the biogas
           production from anaerobic digestion of water hyacinth

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      Authors: Obianuju Patience Ilo, S’phumelele Lucky Nkomo, Ntandoyenkosi Malusi Mkhize, Onisimo Mutanga, Mulala Danny Simatele
      Abstract: Energy & Environment, Ahead of Print.
      Water hyacinth is an invasive alien plant with several impacts on the environment, economy and society. The plant’s high degree of proliferation makes its mitigation difficult and sometimes complex. However, existing evidence suggests that water hyacinth is a sustainable substrate for biogas production. Using the pretreatment processes for the optimisation conditions for biogas production from water hyacinth, this study analysed the effects of moisture content (60%, 70% and 75%) on Trichoderma atroviride pretreatment of water hyacinth and the impact of the pretreatment on biogas production. Anaerobic digestion of the water hyacinth process was performed at 35°C for 35 days. The modified Gompertz model was used to analyse and predict the appropriate kinetic variables of the digestion process. Biogas yields from untreated, pretreated-60%, pretreated-70% and pretreated-75% were optimal at 135, 210, 217 and 223.4 mL/g of volatile solids (VS). These results suggest the pretreatment of water hyacinth enhanced the degradability of water hyacinth by breaking down the cell wall structure and facilitating its use by microorganisms. Furthermore, the results also confirmed that the higher the moisture content, the easier the biodegradation rate and, consequently, the higher the biogas yield. The model predicted maximum methane production potential ranging from 91.84 to 201 mL/g VS, and the maximum methane yield rate was within 10.12–15.12 mL/day. The lag phase varied between 2.46 and 6.94 days. The percentage error between experimental and model outcomes for untreated, pretreated-60%, pretreated-70% and pretreated-75% are 17.96%, 16.67%, 14.20% and 4.68%, respectively, while the coefficients of determination of the model varied between 0.905 and 0.975, demonstrating significant reliability on attained factors.
      Citation: Energy & Environment
      PubDate: 2022-11-25T08:54:02Z
      DOI: 10.1177/0958305X221141397
       
  • Asymmetric impacts of natural gas consumption on renewable energy and
           economic growth in Kingdom of Saudi Arabia and the United Arab Emirates

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      Authors: Md Shabbir Alam, Tomiwa Sunday Adebayo, Radwa Radwan Said, Naushad Alam, Cosimo Magazzino, Uzma Khan
      Abstract: Energy & Environment, Ahead of Print.
      The globe is now in ecological turmoil as a result of the unrelenting increase in global warming. As a result, governments worldwide are committing to decarbonizing the environment, with the United Arab Emirates (UAE) and the Kingdom of Saudi Arabia (KSA) playing an important role in this effort. Hence, this paper evaluates the nonlinear (asymmetric) impact of natural gas consumption on renewable energy consumption and economic growth in the KSA and the UAE utilizing data stretching from 1990 to 2020. The study also considers other drivers of renewable energy consumption and economic growth, such as trade openness and CO2 emissions. The study utilizes nonlinear autoregressive distributed lag (ARDL) to evaluate these associations. The outcomes of bounds nonlinear ARDL (NARDL), affirm the long-run association between the variables in both countries. The nonlinear results show that positive and negative shocks in natural gas consumption have a negative impact on renewable energy in both UAE and KSA. In contrast, positive and negative shocks in natural gas consumption impact economic growth positively. The study proposed vital policy recommendations based on these results.
      Citation: Energy & Environment
      PubDate: 2022-11-25T08:08:03Z
      DOI: 10.1177/0958305X221140580
       
  • How to promote China's green economic development' The combination effects
           of consumption tax and carbon tax policies

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      Authors: Weijiang Liu, Min Liu, Yangyang Li, Tingting Liu
      Abstract: Energy & Environment, Ahead of Print.
      With massive greenhouse gas emissions causing global warming, emissions reduction and economic growth are essential objectives that must be balanced in sustainable development worldwide. The tax policy is an effective tool for environmental protection and economic regulation. Over the years, China has continuously adjusted tax policies, and the tax structure has tended to be optimized, but there is still no carbon tax. In this regard, based on the purpose of promoting the harmonious development of the environment and economy, this article builds a dynamic computable general equilibrium (CGE) model with five scenarios to assess the economic, energy, and environmental effects of the consumption tax, the carbon tax as well as their combination in China during 2022 to 2035. The results show that lowering the consumption tax on non-energy-intensive commodities boosts long-term economic growth but is not conducive to emissions reduction. Additionally, a separate carbon tax promotes a cleaner energy transition, reducing emissions while harming the economy. In contrast to the stand-alone policy treatment, the combination of lower consumption taxes on non-energy-intensive commodities with the medium carbon tax rate could have a “double dividend” effect, with long-term economic growth and consistently reduced pollution emissions. In the future, it will be essential to implement the appropriate policy combination to reduce fossil energy consumption and increase clean energy share. Thus, it would help to achieve China's 2030 peak carbon target and promote green economic development effectively.
      Citation: Energy & Environment
      PubDate: 2022-11-24T06:12:56Z
      DOI: 10.1177/0958305X221140581
       
  • Revisiting Hofstede's dimensions of national culture and environmental
           sustainability

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      Authors: Chi-Jui Huang, Heng-Yih Liu, Ting-Ling Lin, Jia-Yu Lai
      Abstract: Energy & Environment, Ahead of Print.
      This study investigates the impact of Hofstede's dimensions of national culture on environmental sustainability across 57 countries. Hofstede's national culture construct reflects and gauges the extent of the inclination of a particular national person toward either economic development or environmental preservation. Climate change and pollution have continuously devastated the environment in recent decades. The United Nations Sustainable Development Goals aim to achieve a more sustainable future and prevent further environmental destruction. This study aims to explore whether national culture significantly influences national environmental sustainability. We use national environmental performance as the proxy for national environmental sustainability and adopt the ordinary least squares regression model to explore the possible relationship with two datasets of international indices; one is proposed by Hofstede, and the other is proposed by Germanwatch. Our results show that the power distance index has a strong negative impact on the climate change performance index (CCPI), greenhouse gas (GHG) emissions, renewable energy, and energy use. Further, the masculinity index is negatively related to CCPI and GHG emissions. The individual index is also negatively related to renewable energy. Furthermore, indulgence is positively associated with climate policy. These findings support the notion that nations should consider their cultural characteristics to improve environmental sustainability. Thus, conducting a national environmental policy that aligns with national culture is suggested to achieve environmental sustainability.
      Citation: Energy & Environment
      PubDate: 2022-11-23T05:34:59Z
      DOI: 10.1177/0958305X221140579
       
  • Risk management of e-waste disposal in China: A life cycle perspective

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      Authors: Haichao Yang, Sheng Zhang
      Abstract: Energy & Environment, Ahead of Print.
      In the wave of global e-waste migration, the problem of e-waste management in developing countries and underdeveloped areas has become the focus of academic attention. In the developing countries represented by China, there are still a large number of electronic waste flowing into the extensive manual dismantling workshops. These informal recycling and disposal have a huge adverse impact on the environment of the surrounding areas, and there are huge health and ecological risks. How to effectively deal with the risks generated in the process of e-waste disposal is of great significance to global e-waste management. At present, risk assessment and management have not been included in China's existing e-waste management system. This article analyzes the health, ecological, and regional risks of e-waste in the four links of recycling, dismantling, resource utilization, and final disposal. At the same time, a list of e-waste risk assessment processes is formulated, and a risk management framework for e-waste in China is proposed. It enriches the theoretical and empirical research on e-waste management and provides Chinese practices for the future construction of an industrial 4.0 sustainable ecosystem.
      Citation: Energy & Environment
      PubDate: 2022-11-22T07:37:45Z
      DOI: 10.1177/0958305X221140577
       
  • Analyzing the risk spillovers of international crude oil on China's corn
           and biofuel ethanol markets: A transition toward green economy and
           environmental sustainability

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      Authors: Jin Zhang, Zhenqing Lin, Jinkai Li
      Abstract: Energy & Environment, Ahead of Print.
      This study aims to analyze the risk spillover effects between the global crude oil market and the biofuel ethanol and corn markets in China, employing a DCC-GARCH-Copula-CoVaR model and basing the weekly price data from 2012 to 2021. The empirical results revealed that there were dynamic conditional correlations among international crude oil, China's biofuel ethanol, and corn markets. Following the COVID-19 outbreak, the CoVaR and ΔCoVaR changed, which caused a sharp increase in the mean values and volatility. Additionally, China's biofuel ethanol market is more vulnerable to the risk spillovers from the international crude oil market than China's corn market. However, China's markets do not appear to have obvious risk spillover effects on the global market. The implications of the results are discussed in financial market supervision, including the risk management and portfolio adjustment.
      Citation: Energy & Environment
      PubDate: 2022-11-22T07:36:45Z
      DOI: 10.1177/0958305X221140566
       
  • What determines household cooking fuel preferences' Empirical evidence
           from South Korea

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      Authors: Chan Hee Lee, Jong Ho Hong, Sung Hoon Kang
      Abstract: Energy & Environment, Ahead of Print.
      This study examines the determinants of modern cooking fuel choices in Korea. The ordered probit model is estimated using an extensive online survey of Korean household energy consumers. Our empirical results showed that age, gender, and education are significant determinants of modern cooking fuel choices among the socioeconomic demographic variables: females, older people, and highly educated people are more likely to prefer electricity. Also, electricity is more likely to be preferred over natural gas by people who have a higher preference for district heating. Two psychological factors significantly influence cooking fuel choices. People whose behaviors are environment-friendly and people who are more health-conscious are more likely to prefer electricity over natural gas or propane. There are three important insights into the cooking fuel transition toward electricity. First, as interest in health and climate change has significantly increased in recent years in Korea, it may stimulate the transition from natural gas or propane to electricity. Second, electrification of cooking methods will be beneficial for the environment if electricity generation becomes less carbon-intensive. Since electricity in Korea is mainly generated by fossil fuels, it is crucial to implement more aggressive policies toward renewable sources in the energy mix for electricity generation. Third, the public should better understand why this problem cannot be overlooked because the energy mix is important in mitigating climate change. The better the people understand the exact relationship between energy consumption and pollutant emissions, the more effective and environmentally sound will the energy mix policy become.
      Citation: Energy & Environment
      PubDate: 2022-11-22T07:35:45Z
      DOI: 10.1177/0958305X221139925
       
  • Comparison approach for wind resource assessment to determine the most
           precise approach

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      Authors: Tasir Khan, Ishfaq Ahmad, Yejuan Wang, Muhammad Salam, Amina Shahzadi, Masooma Batool
      Abstract: Energy & Environment, Ahead of Print.
      The distribution models of wind speed data are essential to assess the potential wind speed energy because they decrease the uncertainty in estimating wind energy output. Therefore, before performing a detailed potential energy analysis, the precise distribution model for data relating to wind speed must be found. This research contains material from numerous goodness-of-fit tests, such as Kolmogorov–Simonov, Anderson–Darling, chi-square, root mean square error, Akaike information criterion, and Bayesian information criterion, which were combined finally to determine the wind speed of the best-fitted distribution. The suggested method collectively makes each criterion. This method was useful in statistically fitting 14 distribution models to wind speed data collected at four sites in Pakistan. The consequences show that this method provides the best source for selecting the most suitable wind speed statistical distribution. Also, the graphical representation is consistent with the analytical consequences. This research presents three estimation methods that can be used to calculate the different distributions used to estimate the wind. In the suggested maximum likelihood method, method of moments, and maximum likelihood estimation, the third-order moment used in the wind energy formula is a crucial function because it contributes to the precise estimate of wind energy. In order to prove the presence of the suggested method of moments, it was compared with well-known estimation methods, such as the method of linear moments and maximum likelihood estimation. In the relative analysis, given several goodness-of-fit tests, the presentation of the considered techniques is estimated based on the actual wind speed evaluated in different periods. The results show that the method of moments provides a more precise estimation than other commonly used methods for estimating wind energy based on the 14 distributions. Therefore, the method of moments can be a better technique for assessing wind energy.
      Citation: Energy & Environment
      PubDate: 2022-11-22T07:34:26Z
      DOI: 10.1177/0958305X221135981
       
  • Can urbanization move ahead with energy conservation and emission
           reduction' New evidence from China

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      Authors: Haitao Wu, Mengzhe Sun, Wenjia Zhang, Yunxia Guo, Muhammad Irfan, Mingyue Lu, Yu Hao
      Abstract: Energy & Environment, Ahead of Print.
      In China, urbanization is mainly stimulated by resource flows, and industrialization is normally accompanied by an increase in the proportion of the urban population and urban land area. During the process, urbanization at a rapid pace often induces a huge consumption of energy and environmental emissions. Nevertheless, it is also worth considering whether urbanization positively affects urban environment promotion. With a more solid economic foundation, urban subjects will carry out energy conservation and emission reduction (ECER) from various aspects, primarily focusing on technological innovation, advancement of production mechanisms and structural optimization. Along these lines, this study aims to examine urbanization's direct and indirect impact on energy conservation and emission reduction using panel data consisting of 196 Chinese cities for the period of 2011–2018 with a Slacks-based model and transmission mechanism. Study results indicate that urbanization's development can give a direct impetus to ECER, which is quite robust after employing a series of robust tests, including instrumental variable estimation. Besides, urbanization indirectly influences ECER by promoting economic growth, better allocation of resources, internet advancement, and adjusting the employment structure. Further investigation suggests that the relationship between urbanization and ECER is nonlinear, depending on the levels of the above-mentioned mediating variables. Finally, essential policy suggestions are proposed, i.e. promoting high-quality development of urban clusters, accelerating the policies for ECER, and paying more attention to economic growth, resource allocation, internet technology, and employment structure.
      Citation: Energy & Environment
      PubDate: 2022-11-21T12:56:09Z
      DOI: 10.1177/0958305X221138822
       
  • Interactions among technological innovation, foreign direct investment,
           and agriculture: A symmetric and asymmetric study of inclusive sustainable
           development

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      Authors: Firat Emir, Edmund Ntom Udemba, Nazakat-Ullah Khan, Sadam Hussain
      Abstract: Energy & Environment, Ahead of Print.
      This study examines the Indian inclusive sustainable development. India ranked third in global carbon emissions amidst its economic performance. This tells more about one-sided sustainable development policy of the country. With this trend of development anchored only on Indian economic activities, we consider it important to research the economy with instruments (such as technological innovation, foreign direct investment (FDI), and agriculture) that are unique to the country. India's data from 1980 to 2019 are applied to this study with two models for testing both economic and environmental developments. We utilized two scientific methods (non-linear autoregressive distributive lag (NARDL) and dynamic ordinary least squares (DOLS)) to demonstrate both symmetric and asymmetric technical analyses. Findings from NARDL show that technological innovation and FDI are mitigating carbon emissions, while economic growth and agriculture are increasing carbon emissions thereby impacting negatively the environment. Also, the result from the economic model confirms that all variables are impacting favorably on economic development except carbon emission. The findings from DOLS support the findings from NARDL. The result confirmed that India is yet to attain inclusive sustainable development, however, it is evident that with the right policy framed on tech innovation and FDI, the country could attain balanced sustainable development. Having seen, the dual capacity of both technological innovation and FDI toward strengthening both the economy and environment, it is worthy to consider these instruments as among the sustainable policies
      Citation: Energy & Environment
      PubDate: 2022-11-17T06:06:41Z
      DOI: 10.1177/0958305X221137564
       
  • Reducing energy and environmental challenges by modeling clean electricity
           generation in oil-rich regions

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      Authors: Meysam Pourarshad, Younes Noorollahi, Farideh Atabi, Mostafa Panahi
      Abstract: Energy & Environment, Ahead of Print.
      Reducing greenhouse gas (GHG) emissions induced environmental hazards is one of the most important goals of future research the energy economy and the environment. This challenge is becoming more important in developing countries, including Iran, with high energy intensity and is one of the leading countries in GHG emissions. This study aims to visualize emissions from electricity generation in Khuzestan province, southern Iran. Khuzestan is the largest producer of electricity and the country's energy capital. Khuzestan's electricity supply and demand system was simulated and examined under green scenarios till 2050 by assessing the existing situation and choosing a suitable low-carbon energy system for the future. One of the results of this research is to reduce emissions in terms of energy management strategies in the short term and the ineffectiveness of development strategies regardless of consumption management strategies. Electricity supply optimization scenarios are attractive in the long term, which indicates the costly implementation of development strategies. Combining solutions to balance the energy economy and environment is more effective. The OKEP scenario as a combination of consumption management and development strategies showed that it would maintain its positive impact in the short and long term and successfully reduce emissions. In this scenario, the net present value (NPV) attractiveness is over $ 6706 million and saves the emission of 179 MtCO2e. Compared to the business as usual (BAU) scenario, more than 90 Bm3NGe savings and a 3.62% increase in renewables share are other benefits of this scenario.
      Citation: Energy & Environment
      PubDate: 2022-11-17T06:05:20Z
      DOI: 10.1177/0958305X221135056
       
  • Towards sustainable environment: Unleashing the mechanism between green
           finance and corporate social responsibility

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      Authors: Xuesen Cai, Xiaowei Song
      Abstract: Energy & Environment, Ahead of Print.
      Environmental and socio-economic activities are vital to achieving sustainable growth. Corporate social responsibility (CSR) originated to achieve social equilibrium via the sustainable performance of organizations. Nevertheless, corporations require ample resources to cope with the concepts of CSR and sustainability. Accordingly, the present research analyses the function of green financing, which encompasses the economic, social, and environmental practices for accomplishing and developing CSR goals in the automobile industry. Using questionnaire survey and structural equation modelling, this study's data supports the contribution of green finance and its associated practices (economic (β = 0.248***, 0.239**, 0.312***, 0.125**, 0.549***), social (β = 0.343***, 0.147**, 0.458***, 0.593***, 0.257***), and environmental practices (β = 0.487***, 0.164**, 0.238**, 0.043*, 0.126**)) to the enhancement of CSR's implications. Research findings suggest that organizations should devote more monetary resources to enhancing CSR traits. Future research directions are also discussed at the end of study.
      Citation: Energy & Environment
      PubDate: 2022-11-15T07:51:17Z
      DOI: 10.1177/0958305X221133258
       
  • Energy and environmental efficiency of China's regional electric power
           industry by considering renewable energy constraints

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      Authors: Xifan Chen, Qingyuan Zhu, Chengzhen Xu, Zhiyang Shen, Malin Song
      Abstract: Energy & Environment, Ahead of Print.
      The renewable electricity quota standard (RES) policy plays an important role in achieving sustainable and green development targets. Thus, it is essential to measure the sustainability of the electric power sectors in the context of RES. In terms of the energy and environmental efficiency (EEE) measurements, few studies divided energy inputs into renewable and non-renewable energy or explored the restricted problem of minimizing resource summation. To fill these gaps, we propose an improved fix-sum energy input data envelopment analysis (FSIDEA) model based on the adjustment strategy of weighted sum minimization of renewable energy inputs. The assurance region (AR) restriction and renewable energy input sum constraint (IC) are, respectively, imposed on the FSIDEA model to achieve the common equilibrium effective frontier (EEF). Finally, this study assesses the EEE of the electric power sectors in China's 30 main regions based on the common EEF. The result reveals that Beijing and Shanghai can be selected as benchmarks after efficiency comparison. In addition, our proposed model can compressively rank all decision-making units (DMUs) compared with traditional efficiency models.
      Citation: Energy & Environment
      PubDate: 2022-11-15T06:50:12Z
      DOI: 10.1177/0958305X221139256
       
  • The nexus of financialization and circularity: Evidence from European
           economies

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      Authors: Le Thanh Ha
      Abstract: Energy & Environment, Ahead of Print.
      This article is the first to study a nexus between financialization and circularity performance in the European region. To reflect the circularity performance, we use six different measures, including the amount of municipal waste, the number of circularity patents, the amount of circular material used, the rate of recycling waste, the rate of recycling biowaste, and the rate of recycling e-waste. By using various econometric techniques (namely a panel-corrected standard errors [PCSE] model, a feasible generalized least square estimates [FGLS] model, and the two-step General Method of Moment [the two-step GMM), our study indicates that financialization is an enabler for circularity. However, these results are only statistically significant for the financial institution's development, while the financial market has a positive yet insignificant impact on circularity performance. The development of the financial institution is reported to increase municipal waste and the amount of recycling biowaste and e-waste, thus promoting the path toward the circular economy. To shed light on the financialization-circularity nexus, we use the different dimensions of financialization dynamics and report heterogeneous influences on the different issues of circularity performance. Furthermore, the results from the dynamic fixed effects (DFE) in the autoregressive distributed lag (ARDL) method suggest that the impact of financial development only becomes apparent in the long term.
      Citation: Energy & Environment
      PubDate: 2022-11-15T06:48:53Z
      DOI: 10.1177/0958305X221134989
       
  • Modified coal fly ash for textile dye removal from industrial wastewater

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      Authors: Ahmed Eteba, M Bassyouni, Mamdouh Saleh
      Abstract: Energy & Environment, Ahead of Print.
      Complex dyes have an adverse impact on the environment since they have a high aqueous solubility and are very challenging to be removed using conventional approaches. A series of batch tests were performed to determine the optimum parameters for the direct blue 78 dye adsorption process as a function of chemically treated coal fly ash (TCFA) Effect of fly ash dose, contact time and dye initial concentration were studied using an industrial wastewater. A pilot plant, consisting of three stages; mixing, sedimentation and filtration was designed and implemented to investigate the ability of TCFA to remove COD, BOD5, TDS and TSS from textile wastewater under optimal conditions. A series of fly ash physico-chemical analysis including particles size analysis, zeta potential, XRD, EDX, BET, SEM and FTIR were investigated. The results showed that the particles size and zeta potential for raw coal fly ash were 1.2 µm and −20.70 mv. Chemical treatment process using hydrochloric acid resulted reducing the particles size of fly ash from 1.2 µm to 0.95 µm. Zeta potential value increased to + 7.20 mv. Batch adsorption process showed that the removal efficiency decreased as the primary dye concentration increased. It increased when fly ash loading and contact time increased. Dyes removal was achieved up to 99.7% using TCFA loading 3gL−1 for initial dye concentration10 mgL−1. Studies on equilibrium revealed that the equilibrium data was closely fitted to the Freundlich and Langmuir isotherm models. Kinetic study of adsorption process was studied in detial. Based on high correlation coefficient (R2 = 0.999), the results were followed pseudo second-order model.
      Citation: Energy & Environment
      PubDate: 2022-11-15T06:45:54Z
      DOI: 10.1177/0958305X221130536
       
  • Does the export-to-import ratio affect environmental sustainability'
           Evidence from BRICS countries

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      Authors: Md. Mominur Rahman, Md. Abdul Halim
      Abstract: Energy & Environment, Ahead of Print.
      The study aims to examine the effects of trade balance, economic growth, green field investment, energy use, financial development, and urbanization on environmental sustainability in BRICS countries. This study proceeds to estimate the long-term association using the fully modified ordinary least square (FMOLS) and the dynamic ordinary least square (DOLS) panel estimation methods for the years 1991–2020. This empirical study finds that the ratio of exports to imports has a negative effect on environmental degradation. This indicates that increasing the trade balance eventually leads to environmental sustainability, which finally improves living standards and environmental conditions in the BRICS countries. The findings further show that green field investment and financial development substantially improve environmental sustainability, but energy use, urbanization, and economic growth desperately negatively affect environmental sustainability. Additionally, this research finds a unidirectional relationship of environmental sustainability with trade balance, green field investment, energy use, urbanization, and economic growth rate. This study states how BRICS countries can be protected through trade balance controlling environmental degradation. Thus, this research provides improved orientations to the policymakers of BRICS countries to design policy in favor of the environment.
      Citation: Energy & Environment
      PubDate: 2022-11-11T04:35:46Z
      DOI: 10.1177/0958305X221134946
       
  • Analyzing the determinants of renewable energy: The moderating role of
           technology and macroeconomic uncertainty

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      Authors: Muhammad Zubair Chishti, Eyup Dogan
      Abstract: Energy & Environment, Ahead of Print.
      In line with the importance of SDG-7, a number of studies have endeavored to divulge the changes in renewable energy consumption (REC); however, the literature fails to either understand the importance of technology i.e., information communication technologies (ICT) and macroeconomic uncertainty in this context or employ robust econometric techniques. This research paper extends the prior literature by focusing on technology and macroeconomic uncertainty as novel determinants in addition to natural resources, human development, globalization, and economic growth as control variables of renewable energy for the top 10 renewable energy-consuming countries by applying several second and third generation econometric tests on annual data from 1990 to 2017. The empirical estimations determine ICT as a crucial factor of renewable energy, suggesting that it significantly triggers REC in the top economies. Conversely, the detrimental effects of uncertainty tend to shrink REC. Furthermore, natural resources, human development, globalization, and economic growth significantly boost REC as consistent with the existing literature. Based on these findings, this study suggests several SGD-oriented policies.
      Citation: Energy & Environment
      PubDate: 2022-11-11T01:54:22Z
      DOI: 10.1177/0958305X221137567
       
  • Towards green growth: Industry structure and energy transition in OECD
           countries

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      Authors: Ting-Huan Chang, Kung-Mien Ma, Ssu-Li Chang
      Abstract: Energy & Environment, Ahead of Print.
      This paper is concerned with the impact on the global greenhouse effect issues and focus on comprehensive multi-indicator though analyze the relationship between CO2 emissions and real GDP, energy intensity, fraction of the renewable energy supply out of the total energy supply, and energy consumption from different sectors, including the agricultural, service, industrial and transport sectors. The panel data encompass all 37 Organization for Economic Co-operation and Development (OECD) member countries covering 20 years from 2000 to 2019 and divide into two subsamples, the first and second ten years, for comparison. The empirical results of all parameters track the sound progress of green growth trend in OECD countries in the second ten years (2010–2019). According to the OECD, green growth strategy had been acknowledged in OECD Ministerial Council Meeting in June 2009. Thus, the study divided into the first and second ten years with 2010 as the boundary to compare and the empirical result also indicates the green growth strategy in OECD countries have gradually matured in the last ten years. The implementation of the policy framework and measures includes pricing, removing perverse subsidies, ensuring the regulatory standards of energy efficiency, innovation, and infrastructure investments might also provide a reference and important information for energy policy makers.
      Citation: Energy & Environment
      PubDate: 2022-11-09T06:26:24Z
      DOI: 10.1177/0958305X221135978
       
  • Economic policy uncertainty and firm performance: Evidence from the
           energy-intensive industry in China

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      Authors: Weihua Yu, Xin Jin
      Abstract: Energy & Environment, Ahead of Print.
      As a result of high energy consumption and pollution from energy-intensive industries, the Chinese government has implemented a series of policies. A comprehensive assessment of these policies is necessary to guide the green transformation and upgrading of the industry, however, little research has been conducted on this issue. This article takes China's economic policy uncertainty (EPU) Index as a comprehensive and continuous policy shock and investigates the impact of EPU on the financial performance of energy-intensive firms. Based on 289 listed energy-intensive companies from 2003 to 2018, we find that EPU negatively affects the financial performance of firms, and the negative effect is robust after replacing the dependent variable and endogenous discussion. Further, the negative impacts are more pronounced for midwestern, non-SOE firms, as well as ferrous metal and chemical product manufacturers. Moreover, our results indicate that the negative impact of EPU on performance is mitigated for firms with high cash holdings and low debt ratios.
      Citation: Energy & Environment
      PubDate: 2022-11-08T01:33:16Z
      DOI: 10.1177/0958305X221137565
       
  • Impact of trade liberalization and renewable energy on load capacity
           factor: Evidence from novel dual adjustment approach

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      Authors: Wu Huilan, Seyi Saint Akadiri, Ilham Haouas, Abraham Ayobamiji Awosusi, Ada Tony Odu
      Abstract: Energy & Environment, Ahead of Print.
      Several nations, including Mexico, are encountering problems with accomplishing the targets of sustainable development goals (SDGs). This study addresses how to develop SDG agenda for Mexico, which may also be applied to other emerging markets with comparable profiles. Therefore, this study utilizes a newly developed load capacity factor (LCF, a detailed environmental evaluation tool) that combines biocapacity (supply side) and ecological foot (demand side) to examine the effect of renewable energy consumption and trade openness on LCF while controlling for nonrenewable energy consumption and economic growth in the case of Mexico during 1970–2017. Using the dual adjustment approach, we find evidence of long-run cointegration nexus among the series. In addition, trade openness affects LCF positively, whereas renewable energy consumption, economic growth, and nonrenewable energy consumption impact LCF negatively. Furthermore, results of the frequency domain causality show that all the variables can predict LCF in the long-term. Based on these results, Mexico should focus on promoting public understanding of green energy and environmental preservation measures and participate in the production of nonenergy-consuming and ecologically friendly products while compelling polluting enterprises to migrate to countries with less stringent environmental restrictions.
      Citation: Energy & Environment
      PubDate: 2022-11-08T01:31:55Z
      DOI: 10.1177/0958305X221137559
       
  • Assessment of renewable electricity adoption in sub-Saharan Africa

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      Authors: Iyabo Adeola Olanrele, José Alberto Fuinhas
      Abstract: Energy & Environment, Ahead of Print.
      Most sub-Saharan African electricity generation is through renewable energy sources. However, the pace of renewable expansion is slow, mirrored by the region's low per capita electric power consumption and electricity access. The study examines the determinants of renewable electricity generation adoption in sub-Saharan Africa (SSA) countries using content description and a panel ARDL analysis. Findings from this study show that hydroelectric power is the long-standing renewable electricity source in the region. The deployment of non-hydro renewable electricity sources is slow despite its vast potential. In most evaluated countries, renewable electricity targets are below actual realization. Also, policies are ineffective in driving renewable electricity adoption, as indicated by the negative relationship between renewable electricity generation and policy enactments in SSA. Foreign direct investment and financial development significantly negatively impact renewable electricity adoption, suggesting that both factors do not expand renewable electricity generation. Feasible strategies for increasing non-hydro renewable electricity use include activating renewable energy support mechanisms and their uptake. In addition, governments in SSA should strengthen their legal and institutional frameworks and encourage lessening bottlenecks and bureaucracies associated with renewable electricity investment.
      Citation: Energy & Environment
      PubDate: 2022-11-08T01:30:35Z
      DOI: 10.1177/0958305X221118878
       
  • Design islanded hybrid micro-grid and analyzing its socio-economic
           technical and environmental aspects for off-grid electrification in
           developing countries

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      Authors: Saleem Ullah, Muhammad Yousif, Muhammad Zeeshan Abid, Muhammad Numan, Mubashar Aslam Kataria
      Abstract: Energy & Environment, Ahead of Print.
      Developing countries are facing many electricity crises such as low production, worst power outages, blackouts, and poor inadequate supplies. Most of their rural areas have no basic power infrastructure as it requires long transmission lines, which causes high installation, operation, maintenance costs and line losses issues. The people of these unconnected rural areas belong to low-income families and use kerosene oil, candles, small solar panels, and batteries to meet their basic electricity needs. As an alternative, renewable-based hybrid energy systems have enormous potential. It is also environmentally friendly and low-cost, sustainable, and promising solution to electrify rural off-grid areas. This research work focuses on the economic and optimal design of a renewable-based hybrid energy system for the rural off-grid area of Pakistan. HOMER (Hybrid Optimization of Multiple Energy Resources) software is used to perform techno-economic and environmental analysis. The optimization results show that the most economical and optimal configuration is PV/diesel generator with batteries having lower harmful emissions. Furthermore, the sensitivity analysis is performed to refine the results which show that the most optimal system will remain sustainable if variations occur in the sensitivity variables in the future. Moreover, the results and findings of this study can help the government to make effective policies and planning to provide reliable and affordable electricity to the off-grid areas, to improve the electrification rate in the country.
      Citation: Energy & Environment
      PubDate: 2022-11-01T07:16:30Z
      DOI: 10.1177/0958305X221133256
       
  • Analyzing the mechanism between nuclear energy consumption and carbon
           emissions: Fresh insights from novel bootstrap rolling-window approach

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      Authors: Muhammad Irfan, Tomiwa Sunday Adebayo, Jinyang Cai, Hazar Dördüncü, Farrukh Shahzad
      Abstract: Energy & Environment, Ahead of Print.
      This research utilizes a bootstrap rolling-window (BRW) causality test to explore the causal interrelationship between nuclear energy consumption (NUC) and carbon dioxide emissions (CO2) in 6 developed countries from 1980 to 2020. When there are structural shifts in the full-sample time series, empirical research exploring causality between two-time series generates erroneous conclusions. On the other hand, the BRW method allows researchers to find potential time-varying causality between time series using sub-sample data. The outcomes of the BRW causality test disclosed the following results: (i) a unidirectional negative causality from NUC to CO2 without feedback was found for Japan; (ii) a negative causality at sup-sample periods from NUC to CO2 surfaced at the sub-sample period while a positive causality surfaced from NUC to CO2 in sub-sample period for the United States of America (USA) and France; (iii) a negative feedback causality between NUC and CO2 was found For Canada; (iv) a positive unidirectional causality surfaced from NUC to CO2 was found for Germany, which implies that consumption of NUC worsens the environment in the sub-sampled period. The results may have policy consequences for the selected developed countries regarding NUC and CO2 nexus.
      Citation: Energy & Environment
      PubDate: 2022-11-01T06:59:06Z
      DOI: 10.1177/0958305X221133260
       
  • Modeling the influence of green innovation on environmental sustainability
           of small and medium-sized enterprises: A way towards sustainable
           development

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      Authors: Yongrong Xin, Ume Laila, Shuo Zhang
      Abstract: Energy & Environment, Ahead of Print.
      Significantly tied to China's 14th five-year plan, green innovation is a vital component of high-value growth. This study explores the impact of green innovation on the environmental sustainability of small and medium-sized companies (SMEs). The findings are based on the primary data collected from 453 Chinese SME employees via an online questionnaire survey. Structural equation modeling is utilized for data analysis purposes. Study results reveal that green innovation has a significant influence on marketing innovation and product innovation. Similarly, marketing innovation positively affects product innovation and environmental sustainability. Moreover, product innovation has a significant effect on environmental sustainability. The outcomes of this study imply that organizations in developing economies should prioritize green innovation elements in order to improve the environmental sustainability of SMEs. Study limitations and directions for future research are also discussed at the end of the study.
      Citation: Energy & Environment
      PubDate: 2022-11-01T06:57:47Z
      DOI: 10.1177/0958305X221130137
       
  • Low-carbon development mechanism of energy industry from the perspective
           of carbon neutralization

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      Authors: Bishan Wu
      Abstract: Energy & Environment, Ahead of Print.
      Energy supply and environmental capacity are important material foundations for social and economic development and constraints for scientific and sustainable development, and with achieving the strategic goals of carbon peak and carbon neutral at an early date, too. Therefore, the international community generally regards energy-economic- environment (3E) as a necessary research direction. This paper studies the relationship among effective energy utilization, economic growth protection and ecological environment protection by establishing the contribution rate model of energy consumption factors to economic GDP growth. At the same time, this paper puts forward the government needs to use carbon trading market, carbon tax, such as low carbon management mechanism based on the Pareto Optimality of carbon trading market, prompts the excess money of the country or the region back to actively invest in low-carbon production, lets more energy companies to clean energy and low carbon production transformation, and helps to achieve the goal of regional energy industry carbon neutral.
      Citation: Energy & Environment
      PubDate: 2022-10-26T07:14:42Z
      DOI: 10.1177/0958305X221134375
       
  • Renewable energy consumption and its impact on environmental quality: A
           pathway for achieving sustainable development goals in ASEAN countries

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      Authors: Nabila Amin, Muhammad Salman Shabbir, Huaming Song, Kashif Abbass
      Abstract: Energy & Environment, Ahead of Print.
      Developing an inclusive policy agenda for ensuring sustainable development is a challenge for both developed and developing countries. The developing countries face challenges in designing policy that achieves sustainable development goals based on environmental awareness, and that is one of the main contributions of this research. By taking into account the SDG 13 (climate action) and 7 (clean and affordable energy) this study examines the influence of education, natural resource availability, financial development, urbanization, and economic growth for ASEAN nations from 1991 to 2018. For an empirical estimate, second-generation approaches are used. The findings demonstrate the energizing influence of renewable energy usage in altering the environmental quality. According to the empirical findings, renewable energy and education lower CO2 emissions by 0.46% and 0.22%, respectively. Financial development, urbanization, and natural resource depletion all have a 0.14%, 0.03%, and 0.08% impact on the environment, respectively. The heterogeneous causality analysis reveals the feedback effect, i.e., bidirectional causal links between education, carbon emissions, and the use of renewable energy. This empirical data implies that nations should enhance investment in renewable energy and education sectors, as well as prepare for renewable energy research and development, to ensure environmental sustainability. This research has policy implications for ASEAN countries in terms of renewable energy and education investments. Through this agenda, the objectives of SDG 13 and SDG 7 will be achieved, while SDG 4 will be targeted.
      Citation: Energy & Environment
      PubDate: 2022-10-26T07:13:31Z
      DOI: 10.1177/0958305X221134113
       
  • Effect of α-aluminium oxide nano additives with Sal biodiesel blend as a
           potential alternative fuel for existing DI diesel engine

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      Authors: Abhishek Sharma, Harveer Singh Pali, Manish Kumar, Nishant Kumar Singh, Erween Abd Rahim, Yashvir Singh, Naveen Kumar Gupta
      Abstract: Energy & Environment, Ahead of Print.
      The increasing demand, rapid consumption, price increase, limited reserves, and environmental concern due to pollution produced by conventional fossil fuel (diesel & gasoline) are a few reasons why biofuels need to be explored. The present paper employs a systematic methodology to examine the performance of a 20% volumetric blend of Sal biodiesel (S20) blended with diesel using α-aluminium oxide (α-Al2O3) nanoparticles (NP) as additives and is compared with a diesel under like circumstances. The central composite design, Box-Behnken design (BBD) based response surface methodology, and desirability tests are used in the organized experiments on a diesel engine configuration to facilitate calibration. The created multivariate regression model yields all of the best engine inputs. Interaction effects are used to determine the most influential element by observing the interaction of two distinct input factors on a single response. According to the desirability tests, the highest estimated desirability was 0.579; the optimal input parameters found are 21°bTDC injection timing (IT), 238 bar injection pressure (IOP), 17 compression ratio (CR), and 74 ppm concentration of α-Al2O3NP, estimated the optimized response of brake thermal efficiency (BHTE) 31.18%, brake specific fuel consumption (BSFC) 0.2975 kg/kWh, carbon monoxide (CO) 0.0887%, hydrocarbon (HC) 31 ppm, oxide of nitrogen (NOx) 677 ppm, and smoke level 54.92%. These predicted values were validated with experimental results, and errors were within the range. The nanoparticle combination sample offers improved brake thermal efficiency (BTHE) and lower BSFC rate than the S20 while testing for the optimal parametric condition. Graphical abstract
      Citation: Energy & Environment
      PubDate: 2022-10-26T07:13:01Z
      DOI: 10.1177/0958305X221133257
       
  • Japan energy mix and economic growth nexus: Focus on natural gas
           consumption

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      Authors: Babatunde S Eweade, Gizem Uzuner, Ada Chigozie Akadiri, Taiwo Temitope Lasisi
      Abstract: Energy & Environment, Ahead of Print.
      Japan's recent enunciation of a “Free and Open Indo-Pacific” policy aims to promote principles such as free trade, freedom of navigation, and encouraging economic prosperity with building commitment to stability and peace connecting the economic hub of Asia to Africa (MFA, 2019). Natural gas use continues to dominate Japan's energy mix despite efforts to improve environmental protection and attain the Sustainable Development Goals (SDGs). Also, increasing production and investment typically leads to a better quality of life and more disposable income for the populace, which promotes economic growth. To this end, the study investigates the relationship between economic growth, trade openness, and natural gas consumption, as well as gross fixed capital formation and carbon dioxide emissions to overcome omitted variable problems to explore the natural gas-economic growth hypothesis in Japan over the period 1980–2020. Empirical results reveal a long-run relationship among the variables under consideration. By applying the Toda and Yamamoto approach to Granger causality testing, a two-sided causality running from CO2 and economic growth was revealed, while a one-sided causality from economic growth to natural gas consumption. This outcome suggests that the natural gas-economic growth hypothesis is not valid for Japan. According to these outcomes, policymakers in the energy sector should consciously diversify their energy portfolio in line with the Sustainable Development Goals (SDGs) for Japan. Also, it is recommended that there should be a provision of access to skilled labor to increase productivity and export finished products to boost a nation's economy.
      Citation: Energy & Environment
      PubDate: 2022-10-26T07:11:02Z
      DOI: 10.1177/0958305X221130460
       
  • Insurance market development, renewable energy, and environmental quality
           in the UAE: Novel findings from a bootstrap ARDL test

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      Authors: Ahmed Samour, Joshua Chukwuma Onwe, Nasiru Inuwa, Muhammad Imran
      Abstract: Energy & Environment, Ahead of Print.
      The present work aims to contribute to the existing literature by assessing the influence of insurance market development on the UAE's environmental quality. This study stands to be the first to evaluate the influence of the insurance market on environmental quality in the UAE. The study used an advanced approach to confirm the cointegrating relationship among selected variables: bootstrap Autoregressive Distributed Lag (ARDL) testing and the Bayer and Hanck test for co-integration. The empirical outcomes reveal that renewable energy consumption stimulates environmental quality in the short and long run. Furthermore, empirical outcomes show that insurance market development has a positive effect on the level of environmental quality in the country. Therefore, policymakers in the UAE are advised to make policies and strategies to reinforce the sustainability of insurance markets that would minimize environmental pollution by giving incentives to whoever contributes minimal carbon and uses eco-friendly materials. This can be achieved through an active role in green investments and product development to promote environmental quality and increase insurers” profitability and credit rating.
      Citation: Energy & Environment
      PubDate: 2022-10-23T02:35:18Z
      DOI: 10.1177/0958305X221122928
       
  • Hydrocarbon regulation and lower temperature pyrolysis of balikun oil
           shale kerogen

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      Authors: Fei Liu, Weiguang Shi, Tianbao Liu, Wei Li, Liang Sun, Xiangbin Liu, Changming Zhao, Benxian Li, Sunhua Deng, Zhaohui Dong, Chengwu Xu, Xiaofei Fu, Xiuling Yan
      Abstract: Energy & Environment, Ahead of Print.
      Oil shale kerogen is a kind of composite nature of fossil energy polymer. Kerogen pyrolysis is a feasible and alternative strategy to produce fossil fuels from shales. However, the disadvantages including the high energy consumption, the high cost, and the low hydrocarbon conversion, significantly hinder the development and utilization of unconventional hydrocarbon resources. Herein, the hexagonal crystal structural layered double hydroxides (LDHs) with the Ni/Fe ratio of 5.64:2.36 is proposed as pyrolysis catalyst to improve the catalytic efficiency, the selectivity of target hydrocarbons, and lower the temperature for the process of kerogen pyrolysis. As a result, needle-like nanoscale NiFe-LDHs are prepared successfully to perform the fast thermal upgrading of Balikun oil shale kerogen. The catalytic pyrolysis performance has been observed that the temperature for maximum conversion (Tmax) is 401.18 °C, presenting a Tmax reduction of 37.84 °C, the yield of shale oil is increased by 7.83 wt%. And during 350°C– 400°C, a progressive increment of 147.67%, 230.86%, and 310.61% is obtained corresponding to the content of C1-C5, C6-C14, and C14 + hydrocarbons, respectively. This finding enriches the catalyst candidates for kerogen pyrolysis and provides new insights into industrial applications of in-situ pyrolysis technology for oil shale recovery processes.
      Citation: Energy & Environment
      PubDate: 2022-10-21T06:02:55Z
      DOI: 10.1177/0958305X221133263
       
  • Effects of venture capital on green technology innovation in new energy
           vehicle industry in China

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      Authors: Cailou Jiang, Dehai Liu
      Abstract: Energy & Environment, Ahead of Print.
      Taking new energy vehicle (NEV) listed enterprises from 2010 to 2018 as a research sample, this paper empirically analyzes the innovative impact of VC on NEV enterprises by applying the difference-in-difference (DID) model. The results indicate that the intervention of VC has a positive and significant impact on the green technological innovation in NEV enterprises, an impact which is reflected in a significant increase in the number of green invention and green utility model patent applications. Compared with state-owned NEV enterprises, VC plays a more significant role in promoting the green technological innovation of private and foreign NEV enterprises. In the NEV industry chain, VC has significantly promoted green technological innovation of upstream and midstream NEV enterprises. From the perspective of VC, it also finds that, compared with independent and local VC, it is the syndicated and non-local VC that have a more positive and significant impact on green technological innovation in the NEV enterprises. Besides, the high-reputation of VC has not had an “incubating” effect on green technological innovation in NEV enterprises.
      Citation: Energy & Environment
      PubDate: 2022-10-19T08:08:31Z
      DOI: 10.1177/0958305X221130135
       
  • Unleashing the Influence of Information Sharing, Technological Openness,
           and Corporate Innovation on Green Corporate Social Responsibility: A Way
           Toward Environmental Sustainability

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      Authors: Xin Yi, Arifa Tanveer, Lee Bin, Yan Xue
      Abstract: Energy & Environment, Ahead of Print.
      The current study investigates three important characteristics of corporate culture, i.e., information sharing, technological openness, and corporate innovation to address the research gap about how they affect corporate culture to enhance green corporate social responsibility in the automobile sector of China. The data were tested and examined using PLS-SEM. The findings indicate that information sharing, technological openness, and corporate innovation contribute to enhancing green corporate social responsibility. More precisely, the corporate culture encourages information sharing and innovation among employees and connects them to increased corporation operations that may facilitate the acquisition of advanced manufacturing skills. The study demonstrated that corporate culture is critical to effective corporate integration and that information sharing and corporate innovation tend to be powerful determinants of green corporate social responsibility. Additionally, the study emphasized that these characteristics are the source of corporate social responsibility and adopting these characteristics will assist corporations in enhancing the green corporate social responsibility.
      Citation: Energy & Environment
      PubDate: 2022-10-14T05:46:45Z
      DOI: 10.1177/0958305X221129225
       
  • The effect of extreme temperature on electricity consumption, air
           pollution, and gross domestic product

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      Authors: Kuei-Ying Huang, Yung-ho Chiu, Tzu-Han Chang, Tai-Yu Lin
      Abstract: Energy & Environment, Ahead of Print.
      The Report: Intergovernmental Panel on Climate Change (IPCC) set a goal global warming of 1.5°C on global temperature change. Extreme climate changes have increased the demand for electricity consumption by people and enterprises. In fact, China's total power generation in 2019 exceeded 25% of the world's amount, and its thermal power generation accounted for more than 70%. Although past research on electricity efficiency seldom discusses the issue of climate change, the topic still remains important. This research thus considers extreme temperature days (climate change variable) as exogenous variable and uses the Two-Stage Meta Under exogenous undesirable EBM model to examine power efficiency in China. The results are as follows. (1) In the west only Qinghai's GDP, CO2, PM2.5, and electricity consumption have technology gap ratio (TGR) efficiency values of 1 in the 5 years. (2) China's electricity consumption has the same trend with the TGR efficiency of CO2 and is higher than PM2.5. (3) The national overall efficiency, meta overall efficiency, and TGR overall efficiency are the worst in China's west region.
      Citation: Energy & Environment
      PubDate: 2022-10-12T06:40:03Z
      DOI: 10.1177/0958305X221130131
       
  • Social acceptability of climate-change adaptation policies in South Korea:
           A contingent valuation method

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      Authors: JaeHyung Park, JongRoul Woo
      Abstract: Energy & Environment, Ahead of Print.
      In this study, the willingness to pay (WTP) of the Korean people for a flood control policy to prepare for climate change and a policy to reinforce the protection of populations vulnerable to climate change was estimated using the contingent valuation method (CVM). In addition, the appropriateness of the budgets allotted by the Korean government for these two policies in 2021 was examined by comparing them with the benefits to the people at the national level. The average annual WTP per household was estimated to be approximately KRW 27,457 and 25,854 for these two policies. The WTP was found to increase with adverse effects caused by extreme weather conditions; as people developed an interest in climate change, their income level increased and hence they showed preferences for policies by the ruling party. In addition, the benefits of the two policies at the national level were estimated to be worth KRW 573.6 and 540.1 billion, respectively. When the benefits were compared with the amount allotted in the budgets for them, the ratio of the budget to the benefit was found to be 77.55% for flood control in preparation for climate change and 4.46% for the reinforced protection of populations vulnerable to climate change. This confirms that the acceptability of the policy by the populations vulnerable to climate change is high, but the budget is not allocated as per the need.
      Citation: Energy & Environment
      PubDate: 2022-10-06T06:12:15Z
      DOI: 10.1177/0958305X221130141
       
  • Experimental investigation on combustion and emission characteristics of
           diesel methanol dual fuel (DMDF) engine at various altitudes

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      Authors: Jian Wang, Luteng Chen, Jinke Chen
      Abstract: Energy & Environment, Ahead of Print.
      In order to reveal the effects of diesel and diesel methanol dual fuel (DMDF) on engine performance at different altitudes, especially on combustion stability. In this study, a comparison of experimental research on characteristics of combustion, economy, and emissions for a turbocharged DMDF at various simulated altitudes (10m, 700m, 1670m, and 2400m) and three working conditions (1200rpm-72 Nm, 1800rpm-158 Nm, and 2200rpm-153 Nm) were conducted and analyzed combustion characteristics, economy and emissions. At 1800rpm and 2200rpm, with the increment of altitude, the peak value of the cylinder pressure, the pressure rise rate, and the brake thermal efficiency (BTE) for DMDF mode were higher than diesel mode, while combustion center (CA50) and combustion duration of diesel mode higher than DMDF mode. At 1200rpm and 1800 rpm, the maximum heat release rate (HRR) of DMDF mode was higher than diesel mode. When the altitude rose from 10m to 2400m, the coefficient of variation of peak pressure (COVPP) of DMDF mode increased while the coefficient of variation of indicated mean effective pressure (COVIMEP) of DMDF mode decreased, which means the combustion of dual-fuel is relatively stable. The exhaust temperature of DMDF mode was lower than that of diesel mode at various altitudes. Compared with diesel mode, NOX and Soot emissions in DMDF model significantly decreased at different altitudes and working conditions.
      Citation: Energy & Environment
      PubDate: 2022-10-06T05:53:14Z
      DOI: 10.1177/0958305X221130140
       
  • Which clean energy contributes better for growth' – dynamic panel
           analysis of heterogeneous impacts of individual renewable sources on
           economic growth

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      Authors: Sehwan Kim, Wooyoung Jeon
      Abstract: Energy & Environment, Ahead of Print.
      The impact of renewable energy on economic growth has been controversial and the possible reason for this is that renewable energy is aggregation of sources with heterogeneous characteristics and different countries have different portfolio of renewable sources depending on their climate condition and technology maturity. This study examines the relationship between renewable energy sources such as solar, wind and bio energy and economic growth in 89 countries. For methodology, this paper adopted Islam's growth equation and performed Dynamic Panel Analysis based on Arellano-Bond GMM methodology. In addition to whole sample analysis, a sub-group analysis is performed between OECD and non-OECD countries, and between energy-importing and energy-exporting countries to examine how the relationship is affected by country's capital accumulation, technology maturity, energy cost, and energy security. The result shows that individual sources have the U-shaped relationships with growth, but the turning points where negative relationship changes to positive vary for different sources. For sub-group analysis, the U-shaped relationship was significant only in OECD countries and energy-importing countries. This shows that high technology development and capital accumulation of OECD countries and high energy cost and vulnerability to international energy market of energy-importing countries makes renewable sources more beneficial to economic growth.
      Citation: Energy & Environment
      PubDate: 2022-10-05T06:10:57Z
      DOI: 10.1177/0958305X221130541
       
  • How do gold and oil react to the COVID-19 pandemic: A review

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      Authors: Min Bai, Ly Ho
      Abstract: Energy & Environment, Ahead of Print.
      This paper reviews COVID-19 pandemic-related literature to examine its impacts on oil and gold prices during and since the initial outbreak. The literature reviewed covers varying markets, hypotheses, methodologies, robustness checks, and findings. Crude oil is important to everyday life for individuals, businesses, investors, and markets globally. The forces exerted by demand and supply and shocks can greatly increase volatility in oil commodity prices, which has been the case during the COVID-19 pandemic outbreak. Oil has also in the past been used as a risk diversifier in portfolio optimization strategies. Gold has long been seen as a safe-haven asset that investors flee to during economic and financial market uncertainty and turbulence. How did the COVID-19 health crisis affect these two commodities during its initial outbreak and consequent persistence since then' How did government lockdown and restriction measures, monetary and fiscal stimulus packages, and pandemic-related news impact these commodity markets and their movements' Is there a contagion volatility effect between different markets and if so, who have been net transmitters and recipients of these flow-on effects' This literature review offers some insight into the answers to these questions while also highlighting the importance of further study since COVID-19 and its strains are not finished with the world yet.
      Citation: Energy & Environment
      PubDate: 2022-10-03T06:48:14Z
      DOI: 10.1177/0958305X221127645
       
  • Does the low carbon city pilot policy achieve the synergistic effect of
           pollution and carbon reduction'

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      Authors: Hui Wang, Kuiying Gu, Feng Dong, Hui Sun
      Abstract: Energy & Environment, Ahead of Print.
      A scientific assessment of the synergistic effect of the low-carbon city pilot policy in reducing air pollution and carbon emissions is needed to promote carbon peak and carbon neutrality. This study applied the Spatial Durbin Model-Difference in Difference technique to investigate the synergistic effect of air pollution and carbon emission reduction through the implementation of the low-carbon city pilot policy. The main results are as follows. (1) A spatial phenomenon was observed, in which there was a coexistence of urban carbon emissions and air pollution agglomerations. The spatial characteristics of the “symbiotic” carbon emissions and air pollution agglomerations were revealed. (2) The low-carbon city policy significantly reduced CO2, SO2, and PM2.5 concentrations, and the effect of the “co-governance” of air pollution and carbon emission reduction was obvious. (3) There was a clear regional heterogeneity in the synergistic effect of air pollution and carbon emission reduction in low-carbon cities. A stronger incentive effect was apparent in central and western cities, resource-based cities, and key environmental protection cities. (4) To achieve a synergistic governance “sharing” situation, the transmission mechanism of the low-carbon city pilot policy was the reduction of total energy consumption, the promotion of industrial restructuring, the optimization of the factor endowment structure, and the continuous improvement of the urban transport structure and green innovation. Our results not only help advance the research on synergistic reduction of air pollution and carbon emissions, but also can be of interest to low-carbon city policy makers in China.
      Citation: Energy & Environment
      PubDate: 2022-09-30T06:39:49Z
      DOI: 10.1177/0958305X221127018
       
  • The effect of renewable energy and economic conditions on the
           environmental degradation in China

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      Authors: Fengsheng Chien
      Abstract: Energy & Environment, Ahead of Print.
      Environmental degradation has been recognized as a global issue due to high energy consumption and economic growth. This situation needs researchers to focus on, thereby, the current article examined the impact of renewable energy production (REP), energy import, renewable energy consumption (REC), gross domestic product (GDP), inflation, and foreign direct investment (FDI) on the carbon dioxide (CO2) emission in China. The study considered secondary data and extracted it from the World Bank database covering the period 1981 to 2018. The current article has examined the stationarity of the constructs using Augmented Dickey-Fuller tests and investigated the association among constructs using the quantile autoregressive distributed lag (QARDL) model. The data revealed that REP, energy import, and REC, had a significant and negative linkage with CO2 emission in China. In contrast, GDP, inflation, and FDI are linked with CO2 emission in a positive manner. The article also guided the policymakers regarding the policy development related to reducing carbon emissions using renewable energy production and consumption.
      Citation: Energy & Environment
      PubDate: 2022-09-29T06:01:34Z
      DOI: 10.1177/0958305X221124222
       
  • Modelling and simulation of eco-friendly solar cells sensitized by natural
           dyes

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      Authors: Zarreen Tajvar, Sadia Muniza Faraz, Zahoorul Hussain Awan, Muhammad Hassan Sayyad
      Abstract: Energy & Environment, Ahead of Print.
      One of the biggest environmental challenges for scientists and researchers is to minimize energy crisis by utilizing renewable energy without impacting the climate. Natural dyes based organic solar cells are third generation dye sensitized solar cells (DSSC) which are bio safe, low cost, and relatively easy to fabricate with flexibility than Silicon based solar cells. In this study dye sensitized solar cells are modelled and simulated using diffusion model. The simulations are carried out in MATLAB software to investigate the electrical characteristics. The simulations are performed for three different DSSCs made of pomegranate, beetroot and N-719 dyes. Physical parameters are extracted and their impact on the performance of solar cells is studied. Additionally, the effects of variations in electrode thickness and irradiance are also investigated. The results indicated that short-circuit current, open-circuit voltage and output power increased by decreasing the electrode thickness. Simulated results are in good agreement with the experimental results of preassembled DSSCs. A set of parameters based on electrical considerations is delivered which will not only help to study the impact of physical parameter of DSSC but will also help to control and improve the performance and efficiency of Dye sensitized solar cells.
      Citation: Energy & Environment
      PubDate: 2022-09-28T05:11:51Z
      DOI: 10.1177/0958305X221129526
       
  • Impact of United States energy and climate policies on China’s energy
           industry: Comparison of Biden and Trump period

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      Authors: Xia Zebang, Zhang Yi
      Abstract: Energy & Environment, Ahead of Print.
      As an important field, energy trade significantly impacts China and the United States. Energy and climate policies in the U.S. impact China’s energy industry differently. Climate and energy policies have also changed in tandem with changes in the U.S. regime. By comparing the energy policies of the Biden and Trump administrations, the impact of different U.S. energy and climate policies on China’s energy industry was discussed, and the industry's development status was analyzed. In addition, corresponding strategies for China's energy industry's rapid and stable development are proposed. The current research results show that: (i) China has become an importer of traditional fossil energy in the United States since the Trump period, and U.S. energy and climate policies have had different impacts on China’s energy industry; (ii) China's natural gas imports from United States in China rose from 2.19 million tons (Trump period) to 8.98 million tons (Biden period); however, China's oil imports from United States continued to decline, from a maximum of 8.427 million tons (Trump period) to 1.147 million tons (Biden period); (iii) China’s photovoltaic solar cell exports under Biden period increased by 43.7% compared to the Trump period (2020). In addition, United States energy and climate policies will lead to increased demand for photovoltaic solar cells in the global market, which has a positive impact on China's new energy industry represented by solar photovoltaics.
      Citation: Energy & Environment
      PubDate: 2022-09-26T05:25:31Z
      DOI: 10.1177/0958305X221128298
       
  • Unveiling the asymmetric energy-growth nexus in top oil-importing and
           exporting countries: The common correlated effects approach

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      Authors: Khang Yi Sim, Siok Kun Sek
      Abstract: Energy & Environment, Ahead of Print.
      Conventional panel models that overlook nonlinearity, nonstationarity, heterogeneity and cross-sectional dependency when analysing the energy-growth nexus might produce misleading conclusions. In addressing these issues, this study extends the examination of the nexus by applying nonstationary panel models with common correlated effects (CCE). They involve two estimators, namely CCE mean group (CCEMG) and augmented mean group (AMG) estimators. The main objective is to examine the effects of total and renewable energy consumption on the gross domestic product (GDP) by comparing the top oil-importing and top oil-exporting countries. The datasets are in annual frequency, ranging from 1992 to 2015. The results are compared to ordinary least squares (OLS)-type models that serve as benchmarks. This study innovates the models by incorporating the asymmetric effects of energy consumption into the estimations. The findings reveal a positive correlation between total energy consumption and GDP for both panel groups, and capital input is one of the determinants in all cases. The results disclose evidence of the asymmetric effects of total and renewable energy consumption. The positive impact of total/renewable energy consumption decreases for the top oil-exporting group is more apparent than its increases, signifying the importance of energy conservation. For top oil-importing nations, increased renewable energy consumption impedes the GDP, but the increase in total energy consumption accelerates it. Energy efficiency policies should be implemented in oil-importing countries since the positive impact of total energy consumption is smaller than in the other group.
      Citation: Energy & Environment
      PubDate: 2022-09-26T05:25:02Z
      DOI: 10.1177/0958305X221127019
       
  • Environmental regulation, technological innovation, and industrial
           structure upgrading

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      Authors: Kedong Yin, Yuqing Miao, Chong Huang
      Abstract: Energy & Environment, Ahead of Print.
      The conflict between rapid economic development, resource mismatch, and ecological damage is growing more severe. Industrial structure upgrading, as a bridge between economic activity and the ecological environment, is a crucial strategy for solving ecological and environmental problems. Based on the mediating effect and threshold models, this study selected 30 provincial panel data points in China from 2000 to 2020 to study the impact of environmental regulation and technological innovation on industrial structure upgrading. According to the findings, environmental regulation has a “U” shaped impact on industrial upgrading and passes the three threshold tests, with technological innovation playing a partially positive mediating role. There is regional heterogeneity in the impact of environmental regulation on industrial upgrading, with a “U” shaped impact on the eastern regions; there is inhibited industrial upscaling in the central and western areas. Foreign trade hinders industrial development in the eastern region but promotes rapid development and achieves structural adjustment in the central and western areas. The expansion of fixed asset investment hinders industrial restructuring. Government regulation can encourage industrial structure upgrading in all regions. We propose policy recommendations based on China’s current situation. The development of technological innovation should be promoted, and environmental rules should be differentiated according to local conditions. This study has a certain guiding significance and reference value for balancing environmental governance and economic development, effectively implementing an innovation-driven development strategy, and formulating China's regional development strategy.
      Citation: Energy & Environment
      PubDate: 2022-09-23T06:18:38Z
      DOI: 10.1177/0958305X221125645
       
  • Investigating the asymmetric effects of renewable energy-carbon neutrality
           nexus: Can technological innovation, trade openness, and transport
           services deliver the target for Germany'

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      Authors: Ridwan Lanre Ibrahim, Tomiwa Sunday Adebayo, Abraham Ayobamiji Awosusi, Kazeem Bello Ajide, Adeolu O. Adewuyi, Fatimah Ololade Bolarinwa
      Abstract: Energy & Environment, Ahead of Print.
      The present millennium records the most devastating effects of global warming than what was evident in the pre-industrial era. The pervasive effects of global warming have raised concerns about the sustainability of the present and future generations. Hence, researchers are working assiduously towards proffering the most effective method of halting the surging emissions from global, regional, and national angles. This study contributes to the extant literature by providing the first empirical verification of how renewable energy, technological innovations, trade openness, and transport services impact carbon emissions in Germany. The empirical evidence is anchored on annual time series data from 1990 to 2020 estimated using the novel nonlinear ARDL to explore the positive and negative shocks associated with the short and long-run nexus. The wavelet coherence estimator is equally for ascertaining the multiple time scales in the time series and extends the knowledge frontier to the literature. The following findings are eminent from the overall analyses. First, long-run cointegration is supported among the variables of interest Second, only the adverse effects of renewable energy and technology are substantial enough to mitigate carbon emissions. The trade-induced emissions are established with the positive impacts of trade openness on carbon emissions. Transport services contribute significantly to carbon emissions in the long-run and short-run periods. However, mitigating effects of small magnitude are apparent in the long-run due to the perceived transition to green transportation. Policy implications supporting the transition to 100% renewable energy and green transportation are significant steps towards achieving Germany's carbon neutrality target.
      Citation: Energy & Environment
      PubDate: 2022-09-21T07:42:50Z
      DOI: 10.1177/0958305X221127020
       
  • Evaluation of low energy consumption control for seawater desalination on
           Penghu Island

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      Authors: Shyang-Chyuan Fang
      Abstract: Energy & Environment, Ahead of Print.
      In fact, current water supplies due to natural constraints or lack of infrastructure (or both) cannot be provided in a sustainable manner for all increasing and competing uses (e.g. residential, industrial, agricultural). While promoting Penghu's low-carbon islands, in a water-scarce environment, it is the motivation of this research to take into account the development of water resources and lower energy consumption costs. The seawater desalination plant water production technology is improved, the cost of water production is reduced. This research uses a genetic algorithm (GA) to optimize the recovery rate to solve the minimum Specific energy consumption (SEC) value, and then, according to the required water production, the optimal flow rate of raw seawater of the high-pressure pump is obtained, so as to minimize the energy consumption of the reverse osmosis (RO) system. The energy recovery device has a great effect on reducing the energy consumption of the RO system, and it can be seen from the results that the higher efficiency does greatly reduce the energy consumption of the SEC and water production under the different energy recovery device efficiency. Calculated using genetic algorithms, and the SEC is 3.275 and the recovery rate is 45.1%, and the water production energy consumption is 2.35 kWh/m3. Scheme B changed the efficiency of the energy recovery unit to 97.22%, resulting in a SEC of 1.819 and a recovery rate of 25.3%, and a water production energy consumption of 1.31 kWh/m3. Finally, challenges and research gaps are also proposed.
      Citation: Energy & Environment
      PubDate: 2022-09-20T06:20:13Z
      DOI: 10.1177/0958305X221127649
       
  • The interplay of the carbon market, the tradable green certificate market,
           and electricity market in South Korea: Dynamic transmission and spillover
           effects

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      Authors: Changsong Wu, Dequn Zhou, Donglan Zha
      Abstract: Energy & Environment, Ahead of Print.
      The carbon emission trading scheme (ETS) and tradable green certificate (TGC) system have been widely used to encourage renewable technology and mitigate greenhouse gas emissions. Previous studies have discussed the interaction between these market-based instruments and the electricity market from a theoretical perspective. This research contributes to the literature by empirically examining the interplay of carbon market, the TGC market, and electricity market using a vector autoregressive (VAR) model to investigate the price transmission between different markets. A VAR-BEKK-GARCH model, based on discrete wavelet decomposition, was used to reveal the spillover effect between the three markets over multiple time scales. Based on evidence from the partially deregulated electricity market in South Korea, we do not find a significant short-term interaction between carbon market and the TGC market through the price transmission. However, the analysis over multiple time scales demonstrates that the return spillover between the carbon market and the TGC market is positive and bidirectional in the medium-term and long-term. In addition, the policy integration may create higher price risks to the carbon market and the TGC market, resulting from long-term risk spillovers. We explain these contrasting findings and discuss implications for the future deployment of these policies.
      Citation: Energy & Environment
      PubDate: 2022-09-20T06:19:53Z
      DOI: 10.1177/0958305X221122932
       
  • Can offshore wind energy lead to a sustainable and secure South China
           Sea'

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      Authors: Shambhu Sajith, RS Aswani, Mohammad Younus Bhat, Anil Kumar, Tarun Dhingra
      Abstract: Energy & Environment, Ahead of Print.
      This study aims to determine the potential for improving regional cooperation and clean energy generation in the South China Sea (SCS) through Offshore Wind Energy (OWE). The literature review depicts the broad relationship between renewable energy and regional cooperation. The study identifies three variables-great game of geopolitics, geo-economics, and NEO politics- to arrive at a concept of wind-blindness. It refers to the attempt (of the countries involved) to downplay the existing wind resources and avert attention from them to safeguard the region's strategic military importance, existing trade routes, and rich availability of marine resources. Addressing these concerns could strengthen cooperation between the claimant states for technology, knowledge, and practice sharing, to ensure a sustainable South China Sea region. China's investments in OWE in the South China Sea have the potential to meet the Sustainable Development Goals” target of cleaner, accessible, and affordable energy. Finally, the paper suggests that renewable energy development in the region can reduce the maritime transport of fossil fuels, reducing the carbon footprint.
      Citation: Energy & Environment
      PubDate: 2022-09-17T04:53:04Z
      DOI: 10.1177/0958305X221125133
       
  • Tracking environmental sustainability pathways in Africa: Do natural
           resource dependence, renewable energy, and technological innovations
           amplify or reduce the pollution noises'

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      Authors: Jiahao Shen, Ridwan Lanre Ibrahim, Kazeem Bello Ajide, Mamdouh Abdulaziz Saleh Al-Faryan
      Abstract: Energy & Environment, Ahead of Print.
      The global economy is experiencing the most challenging era of climate change beyond what is evident in the pre-industrial age. Although Africa's share of global greenhouse gas (GHG) is minimal, the ensuing effects hit hard on the continent. Hence, the present study provides the first comprehensive empirical assessment of environmental sustainability in Africa within the novel STIRPAT framework. This study critically examines the impacts of natural resource dependence, renewable energy, urbanization, technological innovations, and structural transition on environmental pollution proxied by carbon emissions, ecological footprint, and PM2.5 air pollution from 1990 to 2019 in five top carbon-emitting African countries. The empirical evidence is based on advanced panel estimators comprising CS-ARDL, CCEMG, and AMG robust to cross-sectional dependence (CSD). The quantile regression efficient for exploring the conditional distribution effects is equally employed alongside Dumitrescu-Hurlin panel granger causality test. The preliminary tests reveal the presence of CSD and heterogeneity of the series, which led to the conduct of second-generation unit root and cointegration tests. The main empirical results show that renewable energy, technological innovations, and structural transition reduce environmental pollutants from surging based on the observable negative signs. By implication, these indicators support Africa's path to environmental sustainability. On the flip side, resource dependence and urbanization amplify the surge. The feedbacks from quantile regression provide sturdy support for the main estimators. The granger causality feedbacks support the existence of bidirectional and unidirectional causality among the variables. Based on the findings, policies that promote sustainable environment are formulated.
      Citation: Energy & Environment
      PubDate: 2022-09-15T06:08:02Z
      DOI: 10.1177/0958305X221124221
       
  • Analysis of barriers affecting the adoption of community solar from
           consumer's perspective: A hybrid ISM-DEMATEL approach

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      Authors: Pragya Thakur, Vincent Herald Wilson
      Abstract: Energy & Environment, Ahead of Print.
      Community solar has the capability to broaden solar accessibility and convalesce financial feasibility in comparison to conventional and commercial solar options and holds the potential to be part of the energy mix. Community solar avails ingress and affordability to solar power for those who may not be able to exploit it either due to financial or location constraints. Parallelly, it solves the issues related to electrification, fossil fuel crisis and greenhouse gas emission, contributes to sustainable development goals (SDG 7 and SDG 11), and realization of net-zero goals, however, the presence of barriers makes the adoption or scaling of community solar difficult. This research work intends to identify twelve crucial barriers for the adoption of community solar on the basis of the literature review and the perception of experts in the energy system. In this paper, we adopted hybrid Interpretive Structural Modeling (ISM) - Decision Ma king Trail and Evaluation Laboratory (DEMATEL) approach for comprehension of the causal and hierarchical relationships among barriers for community solar adoption. The result suggested that lack of consumer awareness, lack of regulations and policies addressing community solar and lack of business model are the most influential barriers as depicted in ISM-DEMATEL based methodology. With the presented novel method, policy-makers, utilities and communities can liaise, coordinate and practice the system-wide advantages of community energy projects. It can also aid the public sector in comprehending the barriers and requirements of people.
      Citation: Energy & Environment
      PubDate: 2022-09-15T06:06:21Z
      DOI: 10.1177/0958305X221122930
       
  • Economic, social, and political determinants of environmental
           sustainability: Panel data evidence from NEXT eleven economies

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      Authors: Nafeesa Mughal, Jun Wen, Qianxiao Zhang, Zehra Betül Pekergin, Carlos Samuel Ramos-Meza, Guillermo Pelaez-Diaz
      Abstract: Energy & Environment, Ahead of Print.
      This paper aims to investigate the impact of social, economic, and political variables on per capita ecological footprint consumption in the NEXT Eleven economies over the period 1984- 2018. The study utilized the dynamic heterogeneous panel estimators of Cross-Sectionally Augmented Auto-regressive Distributive Lag (CS-ARDL) along with the estimator with a multifactor error structure. The study also estimated the cross-Sectionally augmented distributed lag (CS-DL) model while for robustness check the augmented mean group (AMG) and cross-Sectionally augmented error correction method (CS-ECM) is also considered. The study finding maintains that the impact of GDP per capita, multifaceted phenomena of financial development, and military expenditure is positive and significant suggesting that a unit increase in these variables deteriorates the environment in the NEXT Eleven economies. In contrast, higher life expectancy and government stability improve the environment in the long run. The findings of the study suggest that eco-friendly technologies to be used in the production process, as well as projects using outdated technologies, should be discouraged along with the assurance of government stability and reduction of military expenditure in the NEXT Eleven economies.
      Citation: Energy & Environment
      PubDate: 2022-09-13T02:30:43Z
      DOI: 10.1177/0958305X221124224
       
  • The impact of digitalization on green economic efficiency: Empirical
           evidence from city-level panel data in China

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      Authors: Chien-Chiang Lee, Zhi-Wen He, Huwei Wen
      Abstract: Energy & Environment, Ahead of Print.
      The digital transformation of global economic and social activities brought about by advanced information and communication technology (ICT) may have a profound impact on sustainable economic development. This research measures the digitalization of the economy and society in cities of China based on Internet-related indicators and digital financial development and investigates the economic and environmental effects of their digitalization. The empirical results show that digitalization has significantly improved green economic efficiency (GEE), and this finding remains valid after a series of robust analyses. However, there is regional heterogeneity in the improvement effect of GEE. The green effect of digitalization is significant only in the cities with a high degree of economic servitization, capital-abundant cities, and eastern cities. Although digitalization has promoted the green development of the urban economy, it also has a negative spatial spillover effect on the GEE of neighboring cities. One explanation is that cities are shifting polluting industries to other areas during the process of digital transformation.
      Citation: Energy & Environment
      PubDate: 2022-09-09T03:28:08Z
      DOI: 10.1177/0958305X221124225
       
  • Optimization path of green credit to energy consumption structure: A
           symbiotic development perspective of resource-based and non-resource-based
           industries

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      Authors: Wei Qiu, Yaojun Bian, Muhammad Irfan, Yanan Li
      Abstract: Energy & Environment, Ahead of Print.
      In the context of ecological environment construction, how to create a new development pattern in which environment and economy are coordinated has become an important goal of the Chinese government. From the perspective of the symbiotic development of resource-based industries and non-resource industries, this study discusses the path of green credit optimization of energy consumption structure by using the space Durbin model, based on the panel data from 30 Chinese provinces from 2006 to 2019. The study results are as follows: Both green credit and energy consumption structure have a significant positive spatial correlation. Furthermore, the energy consumption structure of local and adjacent areas is significantly optimized by green credit. Additionally, for non-resource-based regions, although green credit has no spatial spillover, it can significantly improve the local energy consumption structure, while green credit in resource-based regions significantly inhibits the optimization of the energy consumption structure in local and adjacent regions. Finally, from the perspective of the symbiotic development of resource-based industries and non-resource industries, although green credit can significantly improve the local energy consumption structure, it will inhibit the optimization of the energy consumption structure in adjacent areas. Therefore, government departments not only need to implement green credit policies according to local conditions but also actively guide exchanges and cooperation between resource-based industries and non-resource industries. This move promotes the symbiotic development of resource-based industries and non-resource industries and simultaneously improves the utilization efficiency of green credit, and optimizes the energy consumption structure.
      Citation: Energy & Environment
      PubDate: 2022-09-07T07:12:12Z
      DOI: 10.1177/0958305X221120258
       
  • Multi-agent behavior strategy game and evolutionary simulation analysis
           under environmental regulation

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      Authors: Zhaoqiang Zhong, Benhong Peng
      Abstract: Energy & Environment, Ahead of Print.
      To avoid severe environmental pollution, the government actively implements environmental regulation (ER) to ensure that enterprises carry out green innovation (GI), and the public participation in supervision has become an important part of the process of environmental governance. In this study, we incorporated the three parties of enterprise, government, and public into one framework and constructed a tripartite evolutionary game model. On this basis, combined with the system dynamics simulation, the behavioral strategy selection and influencing factors of the tripartite agents were analyzed. The results indicate that no matter what the initial strategy of the enterprise, government, or the public is, after a continuous evolutionary game, the three parties will reach a stable and balanced state, that is enterprises carry out GI, governments implement ER, and the public participates in supervision. Whether the government implements ER has a great impact on the enterprises’ decision-making. The public's strategic choices have no obvious influence on the governments’ strategies. Notably, GI costs and government subsidies and fines are the main factors that affect the enterprises’ GI initiatives. Government subsidies are suitable for short-term and appropriate subsidies. Finally, we proposed strategies that could optimize the management processes of ER, while ensuring the effective contributions of enterprises, governments, and the public in a seamless manner. Our study can be used as a reference for the implementation of effective ER and serve policymakers in decision-making, to promote sustainable development at a regional and global scale.
      Citation: Energy & Environment
      PubDate: 2022-09-07T07:11:52Z
      DOI: 10.1177/0958305X221125126
       
  • The spatial impacts of the circular economy on carbon intensity - new
           evidence from the super-efficient SBM-DEA model

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      Authors: Pengyu Chen
      Abstract: Energy & Environment, Ahead of Print.
      With the signing of the Paris Agreement in 2016, countries began to explore new economic models to get rid of the high emissions and high pollution caused by the traditional extensive economic model. Circular economy (CE) is regarded as an important way to achieve carbon neutrality, yet there is little literature has explored the relationship between the two. This paper aims to provide evidence and suggestions for developing circular economy strategies in emerging developing countries such as China by exploring the relationship between circular economy and carbon emissions. In this study, urban carbon emissions were measured by using high-resolution carbon emission data and the circular economy of 285 cities in China from 2009 to 2018 was estimated using a data envelopment analysis (SBM-DEA) model based on a super effective slackness measure. Then, the spatial impact of the circular economy was analyzed based on the spatial Durbin model. The empirical results are as follows: first, carbon intensity shows a positive spatial correlation, with most cities clustered in high-high (H-H) and low-low (L-L) types. Second, it was found that CE has a significant negative impact on the carbon intensity of local cities and neighboring cities. Third, based on regional heterogeneity, CE has significant negative direct and indirect effects in central and western cities. In contrast, CE has only significant direct effects (negative values) in eastern cities.
      Citation: Energy & Environment
      PubDate: 2022-09-05T06:13:12Z
      DOI: 10.1177/0958305X221125125
       
  • Public perception of oilfield produced water: The case of California's
           Central Valley

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      Authors: Sumita Sarma, Nyakundi M. Michieka
      Abstract: Energy & Environment, Ahead of Print.
      Oilfield Produced Water (OPW) has been identified as a viable solution to mitigate water scarcity in California‘s Central Valley. However, consumer perception on the use of OPW outside of the oil and gas industry remains unknown and poses a hurdle for large-scale adoption. This paper, based on 134 randomly selected residents of Kern County (California‘s largest oil-producing county and top agricultural region), examined attitudes towards OPW reuse. In the survey, more than half (52.3%) of participants said that they have heard about oilfield-produced water and other reclaimed waters. Findings also suggest that participants mostly preferred rain and stormwater, and interestingly scored OPW higher than industrial and black waters for irrigation purposes. Around 67% of the participants supported the use of oilfield-produced water for irrigating crops. Younger people (18–29 years) expressed greater concern about using OPW compared to the older residents. Given the drought conditions in Central Valley, policymakers might need to focus on a circular economy and mandate the use of OPW in Central Valley considering that this region‘s economy lies at the nexus of the O&G and agriculture industries.
      Citation: Energy & Environment
      PubDate: 2022-09-05T06:12:48Z
      DOI: 10.1177/0958305X221124223
       
  • Optimal energy management in smart grid with internet of things using
           hybrid technique

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      Authors: Sabita Nayak, Amit Kumar
      Abstract: Energy & Environment, Ahead of Print.
      This paper proposes an energy management system (EMS) in smart grid based on Internet of Things (IoT) configuration using hybrid approach. The proposed approach is joint execution of Multi-fidelity meta-optimization and Turbulent Flow of water based optimization (TFWO), hence it is known as M2FWO technique. The main objective of this proposed EMS is to better manage power with the resources of Smart Grid by constantly monitoring data from the IoT-based communication framework. Here, each home device is connected to data acquisition module is utilized to facilitate the demand response (DR) growth for energy management system in smart grid. The framework collects DR from every smart home device and then transmits the data to the centralized server. The transmitting data is enabled by M2FWO method. The smart grid IoT framework enhances the feasibility of these networks makes better use of obtainable resources. The proposed system is in charge to satisfy the total supply with energy requirement. Finally, the proposed model is stimulated on MATLAB/Simulink site, then the efficiency is examined with existing methods.
      Citation: Energy & Environment
      PubDate: 2022-09-02T01:15:35Z
      DOI: 10.1177/0958305X221120256
       
  • Conversion of biomass into biofuel by microwave pyrolysis: Assessment of
           energy and exergy aspect

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      Authors: Ahmed Elsayed Mahmoud Fodah, Taha Abdelfattah Mohammed Abdelwahab
      Abstract: Energy & Environment, Ahead of Print.
      Higher heating value, energy and exergy analysis of bio-oil and biochar from microwave pyrolysis have been assessed. The energy efficiency for the pyrolysis system has been analyzed by the comparisons of energy based on heating values. The exergy analysis was done using standard relationships by the fraction of energy actually available for practical uses as biofuel. The yield of bio-oil and its higher heating value (HHV) were increased by 2–13% and 25–130% respectively when the microwave power increased from 500 W to 700 W, then both are decreased at 900 W. Using activated carbon (AC) had a remarkable effect on increasing the yield and HHV of bio-oil by 18–31% and 3–7 times respectively more than other cases. By using the additives, the yield of biochar decreased remarkably, while its HHV increased by 12%-40% compared to without additive. The maximum energy and exergy rate (1.74 MJ/h) of the bio-oil were obtained at 700 W level of microwave power using AC additive, while for biochar were 1.95 MJ/h and 2 MJ/h when no additive used. The maximum values of energy and exergy of the bio-oil were computed to be 27% and 26% respectively at 700 W using AC as an additive. The maximum values of energy and exergy efficiency of biochar were calculated to be 33% and 32% respectively when pyrolyzed at 500 W using AC. The energy and exergy efficiencies of the pyrolysis system were computed to be maximum value of 53.3% and 52.8% respectively at 700 W using AC additive.
      Citation: Energy & Environment
      PubDate: 2022-08-29T07:17:47Z
      DOI: 10.1177/0958305X221122929
       
  • An overview of aerodynamic performance analysis of vertical axis wind
           turbines

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      Authors: Muhammad Ahmad, Aamer Shahzad, M. Nafees Mumtaz Qadri
      Abstract: Energy & Environment, Ahead of Print.
      In this paper, an attempt has been made to highlight major developments of vertical axis wind turbines (VAWTs) in the last few decades. The effects of various design parameters such as airfoil, number of blades, solidity, aspect ratio, blade helicity, and overlap ratio have been critically analyzed. Wind energy is the most promising renewable, cost-effective, efficient, and accessible source for both domestic and commercial applications. Horizontal axis wind turbines are highly developed and are being used for medium-to-large scale power projects. VAWT are considered viable options for urban and semi-urban areas. These turbines have several characteristics, such as omnidirectional, power generation in weak and unstable winds, esthetically sound, safety, and low noise. Darrieus turbines with a fixed blade-type have starting problems at low wind speeds. Savonius turbines have good starting capability; however, their power coefficients are lower than other types of VAWT. To overcome the shortcomings of conventional wind turbines, an innovative engineering solution was sought in the design of hybrid VAWT. The analysis revealed that hybrid wind turbines have addressed the deficiencies to an extent; however, the overall performance is still less than that of conventional wind turbines. Several recommendations have been made based on state-of-the-art information from the perspective of future studies and acceptability. It was concluded that vast opportunities for wind turbine applications are available in urban areas; however, further academic research is required on critical aspects such as self-starting at low wind speeds, efficiency, structural reliability, design improvement for aerodynamic performance, and wind resource assessment.
      Citation: Energy & Environment
      PubDate: 2022-08-29T06:22:51Z
      DOI: 10.1177/0958305X221121281
       
  • Does enhancing environmental regulation promote corporate green
           investment' Evidence from China

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      Authors: Wen-Quan Hu, Jingyu Zhao, Lexin Zhao
      Abstract: Energy & Environment, Ahead of Print.
      This paper exploits a quasi-natural experiment in China, the environmental protection tax reform, to examine the effect of environmental regulation on corporate green investment. Based on Chinese listed company data and the multi-period DID method, we find the enhancement of environmental regulation harms corporate green investment in a short time, and green investments in the treatment group were reduced by 19.57 million (RMB) on average. Further exploring and examining the potential mechanisms of the above effect, we find the above effect is caused by the suppression effect of financing constraints and the crowding-out effect of research and development (R&D) expenditures. We also analyze the heterogeneity of enterprise ownership, enterprise size, and enterprise location, and find that non-state-owned enterprises, small-sized enterprises, and enterprises in the eastern region will experience a greater reduction in green investment when environmental regulation is enhanced. Based on the above findings, we put forward corresponding policy recommendations.
      Citation: Energy & Environment
      PubDate: 2022-08-26T06:24:40Z
      DOI: 10.1177/0958305X221122931
       
  • Energy management of smart grid equipped by an Internet of Things (IoT)
           configuration: A DDFAT methodology

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      Authors: G. Arunsankar, G. Angala Parameswari
      Abstract: Energy & Environment, Ahead of Print.
      In this manuscript, an Energy Management System (EMS) with Internet of Things (IoT) framework in distribution system (DS) based on hybrid technique is proposed. The proposed method is the combination of Dynamic Differential Annealed Optimization (DDAO) and Feedback Artificial Tree (FAT) algorithm; therefore called as DDFAT method. The main intention of proposed method is “to optimize the power control and DS resources by constantly tracking the data into communication framework based on IoT”. In this work, the DS is inter connected to the data acquisition method that is the Internet of things uses single IP address resulting in mesh wireless network devices. The internet of things based communication scheme used to facilitate the growth of demand response (DR) for energy management (EM) DS. The transmitting data is carried out by DDFAT method. In this way, the IoT distribution scheme increases the network flexibility and offers optimal utilization of the accessible resources. Moreover, the DDFAT method is reliable to meet global supply along energy demand. The DDFAT method is implemented in MATLAB Simulink platform under three test cases and its performance is analysed with the existing improved artificial bee colony (IABC), squirrel optimization with gravitational search–assisted neural network (SOGSNN), particle swarm optimization (PSO)–assisted artificial neural network (ANN), Fruit fly Optimization algorithm (FOA), and grasshopper optimization algorithm (GOAPSNN) methods.
      Citation: Energy & Environment
      PubDate: 2022-08-24T11:57:57Z
      DOI: 10.1177/0958305X221117519
       
  • Analysis of the interval difference and spatial effects of Chinese green
           economic progress

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      Authors: Yang Chen, Farhan Ali, Oleksii Lyulyov, Tetyana Pimonenko
      Abstract: Energy & Environment, Ahead of Print.
      A green economy refers to a modern form of harmony between the environment and the economy. China showing the fastest economic growth in the world has entered into a new phase of advance, facing a critical industrial transformation and progression. The paper aims to analyse China's green economic development considering the differences in development of regions. The study applied the ultra-efficient slacks-based measure model to scrutinize China's green economic development efficiency. Dagum Gini coefficient and Kernel density methods are used to estimate spatial characteristics, local adjustments, and dynamic evolution trends. The analysis is based on an annual dataset of 30 Chinese provinces from 2010 to 2019. The findings did not confirm extensive China's green economic development. In contrast, the development efficacy reveals an influential drive over the years. Regional green development is detected as unstable and diverges due to interregional differences. The findings showed that environmental regulation, government investment, industrial structure, education development were 0.0648, 0.00154, 0.0035 and 0.118 (significant at 5% and 1%), respectively. Besides, they stimulate the green economic development in the analysed regions. However, urbanization and openness of economy had the negative value. It confirmed their restriction impact on the green economic development. In addition, the findings showed that ongoing Chines policy on management of environmental development is the priority direction and provoke the declining the environmental pollution. Besides, the modernization and optimization of the Chinese industry structure stimulate the further green economic progress.
      Citation: Energy & Environment
      PubDate: 2022-08-22T07:15:01Z
      DOI: 10.1177/0958305X221120934
       
  • Performance evaluation of façade mounted photovoltaic integrated air
           chamber assisted by heat pump

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      Authors: Ahmad Riaz, Chao Zhou, Sajjad Mubin, Farhan Ali, Basalike Pie, Ruobing Liang, Peng Wang, Jili Zhang
      Abstract: Energy & Environment, Ahead of Print.
      Photovoltaic thermal heat pumps are conducive to the environment and have drawn much attention due to their great potential in buildings for energy generation and saving of land. This paper puts forward the façade-mounted photovoltaic integrating air chamber cooled by refrigerant-based heat pump. The integrated photovoltaic/thermal (PVT) on the building facade is not only thermally efficient but also results in ambient fresh air cooling, hot water, and electricity production. This paper investigated the performance of façade mounted photovoltaic integrating air chamber by heat pump, which results in a multi-energy generation. The working mode and description of the façade-mounted photovoltaic integrated air chamber by heat pump during summer are presented. Finally, the system performance was analyzed underexposed weather conditions for electrical performance, hot water production, and cooling of hot fresh air. It was found that the average and minimum temperatures of the cooling air through the air chamber reached 21.7 °C and 15 °C, respectively. The average electrical, thermal, and overall efficiencies of the façade-mounted photovoltaic thermal system were 8%, 77.6%, and 98%, respectively. The average coefficient of performance (COP) of the heat pump during water heating was 4.41.
      Citation: Energy & Environment
      PubDate: 2022-08-22T07:15:00Z
      DOI: 10.1177/0958305X221120932
       
  • Investigation on the causality relationship between environmental
           innovation and energy consumption: Empirical evidence from EU countries

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      Authors: Muhammad Usman, Magdalena Radulescu, Daniel Balsalobre-Lorente, Abdul Rehman
      Abstract: Energy & Environment, Ahead of Print.
      Environmental innovations, investments, and expenses have been identified as an efficient and reliable way of addressing ecological issues. Nevertheless, how environmental innovations, investments, and expenses may influence the level of environmental pollution in European nations and whether the outcome may fluctuate among various environmental innovation indicators remain to be inspected. Therefore, this research is designed to empirically scrutinize the influence of environmental innovations, environmental investment, environmental expenditure, research and development (R&D) expenses, and foreign direct investment (FDI) on renewable and non-renewable energy in a sample of 15 European countries during the period from 2005 to 2018. To achieve this, we apply robust panel econometric estimation techniques. After testing the stationary property of the series, the findings of the Pedroni cointegration test disclose the presence of a long-run stable connection among the series. The empirical results from the ARDL, FMOLS and DOLS regression show that the impact of environmental innovations, environmental expenditure, R&D expenses, and FDI help to reduce overall non-renewable energy and promote renewable energy. In contrast, environmental investment significantly increases non-renewable energy and diminishes renewable energy usage.Moreover, the findings of Dumitrescu and Hurlin's tests discover a unidirectional causality running from non-renewables and renewables towards environmental investment, environmental expenditure, and FDI. Additionally, bi-directional causality is found between environmental innovations R&D, with both non-renewable and renewable energy utilization. Furthermore, we summarize by arguing that the efforts toward efficient and sustainable use of energy by reducing the combustion of non-renewable energy sources should support modern and innovative strategies by ensuring the transformation of non-renewables with renewable energy sources.
      Citation: Energy & Environment
      PubDate: 2022-08-22T07:14:40Z
      DOI: 10.1177/0958305X221120931
       
  • Validating global horizontal irradiance estimated by McClear model under
           clear-sky and all-sky conditions in Pakistan

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      Authors: Zia ul Rehman Tahir, Ghulam Murtaza Amjad, Muhammad Hamza, Muhammad Rizwan Shad, Adnan Qamar, Philippe Blanc, Sabtain Abbas, Muhammad Azhar, Muhammad Safyan, Muhammad Abdullah, Muhammad Atif, Syed Tauqeer Haider
      Abstract: Energy & Environment, Ahead of Print.
      The availability of accurate and reliable solar radiation data is very important to explore solar energy potential for commercial power plants. This study presents the validation of global horizontal irradiance (GHI) from McClear model under clear-sky and all-sky conditions against measured data for complex topography of Pakistan. The McClear GHI shows good agreement with measured GHI under clear-sky conditions for nine stations and good correlation was achieved with correlation coefficient ranging from 0.972 to 0.992. The relative mean bias error (rMBE) and relative root mean square error (rRMSE) using GHI data having temporal resolution of 10 minutes was ranging from −2.3 to 6.4% and 3.6 to 7.8% respectively. A seasonal statistical analysis shows variation of errors during seasons, significant variation of errors was observed for monthly statistical analysis, the overall errors for all stations were maximum in January and minimum in June. Cloud fraction (CF) from three state-of-the-art datasets (ERA-5, MERRA-2 and MODIS) was incorporated into McClear clear-sky GHI (GHIMC,clear-sky) to derive commercially resourceful all-sky GHI data (GHIMC,all-sky) using a noval approach. The rMBE of GHIMC,all-sky using CF from ERA-5, MERRA-2 and MODIS ranges from 0.1 to 8.4%, 0.1 to 14.1% and 0.2 to 16.8% respectively. The application of ERA-5 cloud fraction shows good correlation with correlation coefficient ranging from 0.871 to 0.966 and gave best results as rMBE for all stations is less than 4% except one station, the long-term GHIMC,all-sky data can be used for the solar resource assessment of Pakistan in the absence of measured data.
      Citation: Energy & Environment
      PubDate: 2022-08-22T07:14:29Z
      DOI: 10.1177/0958305X221118869
       
  • How multiple interactions between policy instruments and the policy
           environment affect environmental governance efficiency

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      Authors: Wang Rongjuan
      Abstract: Energy & Environment, Ahead of Print.
      Few studies explored the interaction effect between policy instruments and the policy environment on environmental governance. Based on policy instrument theory, this paper conducts fuzzy set qualitative comparative analysis (fsQCA) to explore the combined effect of policy instruments and the policy environment on the environmental governance efficiency of local governance. This study found four effective configurations of local government environmental governance, which can be summarized as the mandatory mode and the cooperative mode, and three inefficient configurations that can be summarized as the out-of-control mode. The results show that the regions adopting the mandatory mode are economically underdeveloped, while the regions using the cooperative mode are developed. Besides, local government competition leads to the softening of policy instruments, while government-enterprise collusion exacerbates the failure of environmental policy instruments. This paper summarizes the effective modes and reveals the reasons for the low efficiency of local government environmental governance in China. The conclusions provide not only empirical evidence for the study of policy instrument theory but also beneficial insights for the selection of environmental policy instruments and environmental governance practice.
      Citation: Energy & Environment
      PubDate: 2022-08-18T06:39:38Z
      DOI: 10.1177/0958305X221107346
       
  • Assessment of SAARC nations' solar energy potential for sustainable
           development

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      Authors: Ajay Mittal
      Abstract: Energy & Environment, Ahead of Print.
      Energy is very vital for the economic development and prosperity of any nation. Expanding a country's use of renewable energy sources can help it meet its current and future energy needs, as well as spur economic growth. Sustainable energy supply, electrification rate, population shifts, and per-capita power use affect economic development and prosperity. Electricity use is a key sign of a country's economic growth, and as the economy grows, so does the need for energy. Electricity generation relies on the availability of primary sources, implementation of technology as well as on policy imperatives. The South Asian Association for Regional Cooperation is the regional intergovernmental organization and geopolitical union of states in South Asia. Its member states are India, Afghanistan, Bhutan, Bangladesh, Nepal, Maldives, Sri Lanka, and Pakistan. SAARC countries are wealthy in natural resources, yet economic growth is a difficulty. This study aims to assess the solar energy potential of SAARC countries, which has received little attention. Prior research on solar energy possibilities in SAARC concentrated on one country or group. According to the study, SAARC countries rely heavily on imported fossil fuels and a single energy source. Renewable energy sources, especially solar energy, are important for their sustainable expansion, diversity of energy basket, energy security, and fulfilling rising electricity demand. The SAARC region has superior daily average horizontal sun irradiances than the UK and Germany, indicating untapped potential for solar photovoltaic systems. This study aims to encourage stakeholders to execute efficient solar energy governance planning for sustainable growth.
      Citation: Energy & Environment
      PubDate: 2022-08-18T06:39:16Z
      DOI: 10.1177/0958305X221120935
       
  • A systematic review of grid-connected photovoltaic and
           photovoltaic/thermal systems: Benefits, challenges and mitigation

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      Authors: Abdul K Hamid, Nsilulu T Mbungu, A. Elnady, Ramesh C Bansal, Ali A Ismail, Mohammad A AlShabi
      Abstract: Energy & Environment, Ahead of Print.
      Solar energy is the powerhouse where all potential and classified renewable energies lug their sources. The energy transformation from the Sun to electricity requires an adequate control scheme to maximise the generated power and enhance the system efficiency. Besides, more than half of solar irradiation on conventional PV panels is lost. The PV/T modules have been introduced to convert the lost irradiation to heat. Thus, a systematic review of system components, development, and strategies for grid-connected solar Photovoltaics (PVs) plants is presented. Two solar PVs, traditional PV and thermal (PV/T), are evaluated. Each grid-tied PV component is considered a subsystem to analyse the potential improvement of grid-connected PVs. This is from solar resources to grid-tied PV inverter techniques. An intensive assessment of the system improvements is presented to evaluate PV plants’ benefits, challenges, and potential solutions. The improvement trends for the novel generation of grid-connected PV systems consist of applying innovative approaches. It is also found that intelligent strategies optimally ensure the overall efficiency of grid-tied PVs using real-time control and measurement under innovative applications and technologies. These methods effectively assist in enhancing grid-tied diverse solar power approaches. Therefore, this paper would offer a significant foundation for advanced research into the subject of grid-tied PV and PV/T and their innovation and/or technology development.
      Citation: Energy & Environment
      PubDate: 2022-08-17T07:46:12Z
      DOI: 10.1177/0958305X221117617
       
  • The impact of information and communication technology (ICT) on carbon
           dioxide emissions: Evidence from heterogeneous ICT countries

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      Authors: Isaac Appiah-Otoo, Alex O. Acheampong, Na Song, Xudong Chen
      Abstract: Energy & Environment, Ahead of Print.
      Climate change remains one of the world’s significant threats today, and thus Sustainable Development Goal (SDG) 13 prioritizes countries to reduce global greenhouse gas emissions and mitigate climate change by 2030. Recent studies have scrutinized the impact of Information and Communications Technologies (ICTs) on the environment. However, the majority of these studies assumed that the environmental impact of ICT is homogenous across countries. This study, therefore, investigated the impact of ICT on environmental degradation, considering the difference in ICT quality among countries. Applying a panel dataset of 110 countries between 2000 to 2018 and the instrumental variable generalized method of moments (IV-GMM) technique, the findings revealed that ICTs improve environmental sustainability in countries with high ICT quality while degrading the environment in countries with moderate and low ICT quality. The results of the causality analysis also showed bi-directional causality between ICT and carbon emissions in countries with high and moderate ICT quality, while there is a uni-directional causality running from carbon emissions to ICT in countries with low ICT quality. Policies that enhance ICT usage through low pricing were recommended for moderate and low ICT quality countries to help mitigate environmental degradation.
      Citation: Energy & Environment
      PubDate: 2022-08-16T04:56:05Z
      DOI: 10.1177/0958305X221118877
       
  • Charging infrastructure facilitate a large-scale Introduction of electric
           vehicle in urban areas using hybrid technique: A RBFNN-SPOA approach

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      Authors: J. Chitra, R. Lal Raja Singh, R. Leena Rose
      Abstract: Energy & Environment, Ahead of Print.
      A hybrid technique is proposed for the effects of different roll-out techniques for charging the infrastructure that enables large-scale introduction of electric vehicles (EVs). The proposed hybrid technique is the combined execution of both Radial Basis Function Neural Network (RBFNN) and Student psychology optimization algorithm (SPOA), together called as RBFNN-SPOA strategy. The proposed method contains 3 kinds of agents operate in the environment from which charging stations is located. The communication among these agents are simulated in 3 ways. They are (1) charging process from which the EV driver cooperates with available charging stations and other electric vehicle drivers, (2) the process of purchasing a vehicle of non-electric vehicle car owners from which they take current charging infrastructure utilization into account, (3) the installment process of new charging stations through charging point operator (CPO) is based on placement tactic depends on charging station (CS) utilization. Firstly, a larger dataset on real charging patterns are utilized to design the charging behaviour of agents by RBFNN. Secondly, the proposed approach contains significantly more communication among electric vehicle drivers compared to existing approaches and also more precisely specifies the difficult system of on-street electric vehicle charging at an urban context. Thirdly, the relation among charging infrastructure and electric vehicle adoption based on experimental choice, while the existing methods provides assumptions by using SPOA. Finally, the proposed approach is implemented in MATLAB or Simulink platform and its performance is compared with existing approaches.
      Citation: Energy & Environment
      PubDate: 2022-08-16T04:04:23Z
      DOI: 10.1177/0958305X221117518
       
  • Environmental sustainability risk, institutional effectiveness and
           urbanization

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      Authors: Rexford Abaidoo, Elvis Kwame Agyapong
      Abstract: Energy & Environment, Ahead of Print.
      This study examines the effect of urbanization, institutional quality and other variables on environmental sustainability risk among economies in Sub-Saharan Africa (SSA). Environmental sustainability risk is examined from three main perspectives – emission of gases inimical to the environment (CO2 emissions), exploitation of land and water resources (ecological footprint) and exploitation of resources devoid of the requisite savings and education expenditure (genuine sustainability risk). Empirical analyses were performed using the Limited Information Maximum Likelihood (LIML) Instrumental Variable estimation technique. Estimated results suggest that urbanization, population growth and increase commodity prices on the global market (for key export commodities) worsen CO2 emissions among economies in the sub-region. The results further suggest that urbanization, population growth, governance and institutional structures increase resource exploitation. Additional results suggest that institutional quality lessens adverse effect urbanization has on environmental sustainability risk (CO2 emissions) and genuine sustainability risk; but exacerbates the impact urbanization has on ecological footprint. Given these findings, this study recommends conscious efforts at improving governance and institutional structures among governments in the sub-region to lessen adverse effect of urbanization and population growth on environmental sustainability risk.
      Citation: Energy & Environment
      PubDate: 2022-08-11T06:29:23Z
      DOI: 10.1177/0958305X221118876
       
  • Towards efforts to promote renewable energy development in Africa: Does
           governance quality matter'

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      Authors: Xuanming Pan, Toyo Amègnonna Marcel Dossou, Mesfin Welderufael Berhe, Emmanuelle Ndomandji Kambaye
      Abstract: Energy & Environment, Ahead of Print.
      In order to avert global climate change, the promotion of renewable energy is getting more attention from government and policymakers. There are many factors that can account for the determinant of renewable energy development. While the drivers of renewable energy development have been extensively examined, the influence of governance quality on renewable energy development is very scanty. To fill the gap in the literature, this study examines the influence of governance quality on renewable energy development in 42 African countries over the period 1996–2020. The empirical evidence is based on the panel corrected standard errors (PCSE) estimation technique to account for cross-sectional dependence. The results show that the impact of governance quality on renewable energy development is negative and statistically significant. This means that as governance quality increases, renewable energy development decreases. This is not surprising given the fact that governance quality in Africa is substantially low. In other words, the results imply that governance quality in most African countries still promote non-renewable and energy intensive production system.
      Citation: Energy & Environment
      PubDate: 2022-08-10T06:23:37Z
      DOI: 10.1177/0958305X221120259
       
  • Energy consumption inequality in China: What can an agent-based model tell
           us'

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      Authors: Yong Liu
      Abstract: Energy & Environment, Ahead of Print.
      China is a major energy consumer, however, related empirical research on China's unequal energy consumption is very limited. Therefore, according to the data from 30 provinces and cities, this study aims to establish a simulation model to analyse the Gini coefficient (the Lorenz curve) of China's energy consumption, and identify the main factors affecting the Gini coefficient through dynamic scenario analysis. During the simulation cycle (from 2022 to 2081), the average Gini coefficient of energy consumption fluctuates between 0.30 and 0.41, which indicates the inequality is slightly high. But the maximum value fluctuation ranges from 0.40 to 0.50, which indicates the inequality is high. The author also found that three factors—technological level, government subsidies, and growth rate of energy supply—can significantly affect the Gini coefficient of energy consumption. It is necessary to promote the technological level, increase subsidies for energy production, and promote the growth of total energy supply to significantly reduce inequity in energy consumption.
      Citation: Energy & Environment
      PubDate: 2022-08-10T06:23:16Z
      DOI: 10.1177/0958305X221120257
       
  • Investigating the environmental Kuznets curve in the five most complex
           countries: Insights from a modified ecological footprint model

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      Authors: Ugur Korkut Pata, Atike Elanur Hizarci
      Abstract: Energy & Environment, Ahead of Print.
      Several researchers have focused on the environmental Kuznets curve (EKC) hypothesis to analyze environmental degradation using carbon dioxide (CO2) emissions and ecological footprint as dependent variables. However, analyzes based on these variables neglect the supply side of environmental sustainability. To address this shortcoming, this study aims to examine the determinants of the ecological footprint pressure index (EFPI) in the context of the EKC hypothesis. The EFPI provides a more detailed picture of environmental issues by considering both ecological footprint and biocapacity. Thus, the study aims to add scientific value to the existing literature by analyzing the EFPI under the EKC hypothesis for the first time. Building on this, our research investigates the effects of economic complexity (ECX), per capita income, and renewable energy consumption (REC) on the EFPI by adopting a novel econometric approach. The results of the Fourier autoregressive distributed lag (ARDL) method show a cointegration relationship between income, ECX, renewable energy and EFPI in Germany, Switzerland and Sweden. The long-term elasticities indicate that ECX reduces the EFPI in Germany and Switzerland, while renewable energy mitigates environmental pressure in Switzerland and Sweden. Our findings also confirm the validity of the EKC hypothesis for Germany and Sweden. Based on these findings, the study suggests that ECX, renewable energy and economic growth can all be used as policy instruments to reduce environmental pressure in the three member states of the European Union.
      Citation: Energy & Environment
      PubDate: 2022-08-10T06:22:12Z
      DOI: 10.1177/0958305X221120255
       
  • Impact of interaction between financial development, urbanization, and
           energy consumption in China

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      Authors: Xiaorui Liu, Wen Guo, Qiang Feng, Peng Wang
      Abstract: Energy & Environment, Ahead of Print.
      Given the urgent need for China to reduce the growth rate of energy consumption (EC), the relationship between financial development (FD), urbanization (UR), and EC is directly related to the effectiveness of China's current ecological civilization construction. This study analyzes the internal relationship between the three from the perspectives of financial scale (FD1), financial structure (FD2), and financial efficiency (FD3) through the generalized method of moments (GMM) estimation, impulse response, and variance decomposition of the panel vector autoregression (PVAR) model. The following conclusions are derived. First, the results of the PVAR model show that when FD is measured with FD1, FD2, and FD3, each variable has path dependence, and the lag-phase-one term of each variable has a strengthening effect on itself. Second, based on the pulse response diagram, a positive response occurs after FD1 and FD2 give a standardized shock to EC, but a negative response occurs when FD is characterized by FD3. When FD is measured with FD1, a positive response occurs after UR gives a normalized shock to EC. When FD is measured with FD2 and FD3, there is a weak negative response. Third, the results of the variance decomposition show that the changes of FD, UR, and EC rely more on their own inertia. Although the impact of FD and UR on EC has an increasing trend, the impact is small. Therefore, local governments should rationally control the financial scale, optimize the financial structure, improve the financial efficiency, and strengthen the propaganda of energy conservation.
      Citation: Energy & Environment
      PubDate: 2022-08-08T06:55:11Z
      DOI: 10.1177/0958305X221120261
       
  • Unleashing the mechanism between technological and behavioural aspects of
           green supply chain management: An environmental sustainability agenda

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      Authors: Yuanzhi Xiao, Ruiqi Sun, Ke Gao
      Abstract: Energy & Environment, Ahead of Print.
      As a result of emerging climate change trends, businesses and organizations are becoming more concerned about environmental sustainability. In this context, green supply chain management (GSCM) approaches are expanding globally. Based on institutional and sociotechnical systems theory, the conceptual model of this research highlights a mediation of two GSCM types, namely technological and behavioral practices, as well as the moderation of organizational pressure on institutional performance. The hypotheses were evaluated using the structural equation modeling (SEM) method, obtaining data from 563 Chinese firms. This study's categorization of technological and behavioral GSCM practices and results add to the literature on GSCM. The empirical findings indicate that the technological GSCM practices considerably affect behavioral practices. Moreover, GSCM technological and behavioral practices have a substantial effect on institutional performance. GSCM behavioral practices mediate the link between technological GSCM practices and institutional performance. The outcomes also reveal that organizational pressure moderates the association between GSCM technological GSCM practices and institutional performance. These results show that companies in emerging economies should prioritize the behavioral GSCM practices to successfully apply the technological GSCM practices to achieve compelling financial, social, and environmental performance.
      Citation: Energy & Environment
      PubDate: 2022-08-08T06:54:51Z
      DOI: 10.1177/0958305X221116175
       
  • Nexus between energy intensity and capital-output ratio: A holistic
           approach

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      Authors: Sakib Bin Amin, Farhad Taghizadeh-Hesary, Foqoruddin Al Kabir, Farhan Khan
      Abstract: Energy & Environment, Ahead of Print.
      The incremental capital-output ratio indicates the extent of capital efficiency as firms gradually become technically efficient. Therefore, we aim to empirically assess the linkage between energy intensity and incremental capital-output ratio from a holistic point of view, the first of its kind, by analyzing data from select South Asian countries, lower- and middle-income, and high-income countries. We use standard and robust cross-sectional augmented econometric methodologies for the empirical analysis using data from 1990 to 2018. We reveal unidirectional causation from the incremental capital-output ratio to energy intensity in five South Asian countries and 52 high-income countries. However, bidirectional causality is found between the incremental capital-output ratio and energy intensity for the 34 lower- and middle-income countries. The elasticity of the incremental capital-output ratio to energy intensity for South Asian countries is 0.15 in the long-run. By contrast, the same elasticities for lower- and middle-income and high-income countries are 0.11 and 0.003, respectively. The effect of the incremental capital-output ratio on energy intensity is significantly lower in high-income countries than in the other two groups due to technical inefficiency. Our results are expected to guide the policymakers in developing and emerging economies in adopting optimal policies to achieve efficient and sustainable production and consumption.
      Citation: Energy & Environment
      PubDate: 2022-08-08T06:54:41Z
      DOI: 10.1177/0958305X221115489