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- Green horizons: Synergized green technological innovation and green energy
consumption on ecological degradation-
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Authors: Abid Ali Randhawa, Mahamane Famanta, Abdelmohsen A. Nassani, Magdalena Radulescu
Abstract: Energy & Environment, Ahead of Print.
The ecological environment is at great risk due to economic activities owing to investments, rapid industrialization, and energy resources depletion, which pose significant environmental challenges globally. Recent research has emphasized on the crucial role of green energy consumption (GEN) and green technology innovation in attaining environmental sustainability. However, there are still areas that need to be addressed. This research study investigates the role of GEN, green technology innovation, and foreign direct investment while controlling the effect of economic growth (EGR) and trade openness level on the ecological footprint (EFP) using data from 1999 to 2022 for Pakistan. We used diverse econometric methodologies to ensure the data consistency. We examine the long-term relationships among the study variables using fully modified ordinary least-squares and canonical co-integrating regression. The results revealed that green technology innovation, and GEN emerge as pivotal in reducing environmental degradation. Conversely, foreign direct investment and EGR increased the EFP, validating the pollution haven hypothesis in Pakistan. These findings highlighted the significance of green technology innovation that increased GEN to address ecological degradation. These findings contribute to more extensive discussions on environmental sustainability and development of the green horizon, particularly in the context of developing countries like Pakistan.
Citation: Energy & Environment
PubDate: 2024-08-26T06:44:59Z
DOI: 10.1177/0958305X241270213
- Nano-enhanced lipid and essential polyunsaturated fatty acid production by
Thraustochytrium sp.: Boosting nutraceuticals and biodiesel industries-
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Authors: Ajeet Singh Chauhan, Reeta Rani Singhania, Anil Kumar Patel, Kunal Chandra, Cheng-Di Dong
Abstract: Energy & Environment, Ahead of Print.
In recent years, microbial platforms for biofuels and nutraceuticals have gained recognition as sustainable alternatives. This study investigates titanium dioxide nanoparticles’ effect on lipid and omega fatty acid production in Thraustochytrium sp. Both titanium dioxide and nitrogen starvation independently enhance lipid content, with a synergistic effect observed when combined. Titanium dioxide increases lipid content by 37.69% (up to 78.84%), while nitrogen starvation achieves a 34.91% enhancement (total lipid 75.92 ± 2.43%). The combined approach yields the highest lipid content at 81.48 ± 3.14%, denoting a 46.19% increase. Additionally, titanium dioxide increases omega-6 (LA by 66.95%) and omega-9 (OA by 44.98%) levels, while nitrogen starvation enhances omega-3 (mainly EPA, by 91.83%) levels. This eco-friendly strategy has implications for bioenergy and nutraceuticals, offering a cost-effective means of enhancing oleaginous microorganisms for biodiesel production. The research outcomes contribute to addressing key obstacles in cost-efficient biodiesel production, impacting the economic landscape of the biodiesel industry.
Citation: Energy & Environment
PubDate: 2024-08-19T06:11:22Z
DOI: 10.1177/0958305X241272252
- Thermal study of single phase nanofluid model using radiative γAl2O3
nanomaterial under Hall current and momentum slip phenomena-
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Authors: Adnan, Sumaira Fayyaz, Zafar Mahmood, Sami Ullah Khan, Mohammed A. Tashkandi, Lioua Kolsi
Abstract: Energy & Environment, Ahead of Print.
The applications of nanofluids frequently occur in thermal insulation, cooling of electronic instruments, chemical engineering and to control the heat transfer during many experimental setups, interaction of nanoparticles with water for plants growth, crop improvement, crop protection, plant biology and biological sciences. Therefore, this research emphasis on the performance of radiated γAl2O3/H2O by adding the influential physical constraints (momentum slip and Hall current). The governing model for the flow through a disk with slippery surface is transformed into the final version via necessary mathematical operations and analyzed the problem numerically. Further, the thermal conductivity is computed using Effective Prandtl Number Model (EPNM) by taking nanoparticles amount up to 0.06%. After careful analysis of the problem, it is examined that when Al2O3 nanoparticles amount added in the range of 0.01%-0.06% then EPN increased from 100.398% to 102.636%, density from 100.298% to 101.786% and dynamic viscosity from 100.742% to 104.823%, respectively. Moreover, the electrical and thermal conductivities varied from 100.3% to 101.811% to 101.65%. The moving dynamics of Al2O3/water can be increased or controlled for [math] and [math], respectively. The Hall index n from 1.0, 3.0, 5.0, 7.0 strongly opposed the velocity and unsteadiness number slightly favor it. Further, the heat transport rate of Al2O3/water improved from 1.05371 to 1.41891 and the shear drag enhanced absolutely from [math] to [math] against the high nanoparticles amount.
Citation: Energy & Environment
PubDate: 2024-08-19T06:10:44Z
DOI: 10.1177/0958305X241270239
- The role of e-commerce demonstration zones in carbon emission reduction:
Harmonizing economy and environment-
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Authors: Juntao Du, Ziyi Zhang, Xueli Chen, Malin Song
Abstract: Energy & Environment, Ahead of Print.
The convergence of economic growth and environmental preservation has become a crucial objective for governments worldwide. As the digital economy helps transform industries, its carbon-reducing effect has been continuously validated. Technological innovation, policy support, and the promotion of trade openness are ways to encourage the greening of the digital economy. Currently, China is vigorously building a national e-commerce demonstration zone (EDZ). Hence, the main purpose of this study is to explore how e-commerce, as an important part of the digital economy, can help reduce carbon emissions (CE). Based on the panel data of 276 prefecture-level cities in China from 2007 to 2019, the empirical results obtained under the difference-in-difference model are that the establishment of EDZs can bring 0.0463 units of reduction in CE. The effect of suppressing CE is more significant for some regions located in the west, with larger city sizes and relatively scarce resource endowments. Distinguishing from the common paths of industrial structure, technological innovation, and optimal allocation of resources, this study also reveals the regulating role of economic openness in the mechanism analysis and finds that increasing foreign direct investment can effectively promote EDZs to reduce CE. The findings of this paper emphasize the practical significance of EDZs for energy saving and emission reduction, promoting green and high-quality development, and provide valuable references for managers and policy makers.
Citation: Energy & Environment
PubDate: 2024-08-12T06:39:34Z
DOI: 10.1177/0958305X241270256
- Heterogeneous environmental regulations and carbon emission efficiency in
China: A perspective of resource endowment-
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Authors: Jiazhan Gao, Guihong Hua, AbidAli Randhawa, Baofeng Huo
Abstract: Energy & Environment, Ahead of Print.
China, as the world's largest carbon emitter, is striving for green transformation through the implementation of various environmental policies. This study employs panel data from 30 Chinese provinces between 2000 and 2022 to analyze in-depth the heterogeneous effects of three types of environmental regulations. The findings reveal a U-shaped relationship between both general public environmental regulation (GER) and mandatory environmental regulation (MER) and carbon emission efficiency (CEE). Conversely, stimulating environmental regulations (SERs) exhibit an inverted U-shaped relationship with CEE. Mechanism analysis further reveals that environmental regulations enhance CEE by promoting industrial structural upgrades and technological innovation. Notably, SERs are particularly effective in improving the CEE in resource-rich and moderately resourced provinces. However, GER exhibits a masking effect on the pathway of technological innovation, indicating potential inefficiencies in its implementation. Moreover, heterogeneity analysis demonstrates that mandatory environmental regulation has a more pronounced impact on improving the CEE in resource-rich and moderately resourced provinces, whereas this impact is relatively weaker in resource-poor provinces. This finding underscores the importance of tailoring environmental policies to the specific resource characteristics of different regions. The insights from this study offer critical guidance for policymakers in designing and implementing differentiated environmental regulation policies, particularly in advancing China’s transition toward a sustainable, green, and low-carbon future.
Citation: Energy & Environment
PubDate: 2024-08-09T07:21:36Z
DOI: 10.1177/0958305X241270274
- The environmental repercussions of financial development and green energy
in BRICS economies: From the perspective of new composite indices-
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Authors: Hossein Ali Fakher, Solomon Prince Nathaniel, Zahoor Ahmed, Mahmood Ahmad, Niloofar Moradhasel
Abstract: Energy & Environment, Ahead of Print.
This study is significant because it fills the gap in future literature by looking at the panel of 5 Brazil, Russia, India, China, and South Africa (BRICS) economies regarding the important role of financial development (FD) in environmental deterioration under the holistic measures of FD and environmental quality, something that has been largely overlooked in preceding studies. Consequently, this study explores the environmental effects of FD, employing a composite environmental quality proxy (CEQP) and a composite FD proxy (CFDP). In pursuit of this objective, the continuously updated fully modified (Cup-FM) and continuously updated bias corrected (Cup-BC) procedures are applied. These procedures enabled us to comprehensively explore the dynamic interactions between the combined index for FD and CEQP controlling agricultural activities, economic growth, renewable energy consumption, and nonrenewable energy consumption (NREC) in the panel of 5-BRICS economies from 2005 to 2019. The empirical results show that CFDP appeases environmental deterioration and thus improves environmental quality. The agricultural activities intensify environmental deterioration. The analysis also reveals a U-shaped relationship between the CEQP and economic growth (inverted U-type environmental Kuznets curve hypothesis) for the BRICS nations. Additionally, renewable energy improves environmental quality, whereas NREC decreases it. As supported by the results of the study, BRICS policymakers should encourage the financial sector to support green energy initiatives and achieve environmental stability.
Citation: Energy & Environment
PubDate: 2024-08-07T10:37:46Z
DOI: 10.1177/0958305X241270216
- Digital infrastructure construction and regional mineral resource
dependence in China: Heterogeneous characteristics and transmission
mechanisms from mining industry-
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Authors: Hengshuo Zhang, Xuesheng Qian, Bing Yang
Abstract: Energy & Environment, Ahead of Print.
The emergence of the digital economy has challenged many of the theories of traditional environmental resource economics. As an emerging production factor, data have a significant impact and substitutability with digital technology on fossil energy utilization, which also makes the impact of digital infrastructure construction (DIG) on the allocation of mineral resources easily underestimated. This study is based on China's DIG and explores its impact on regional mineral resource dependence (NRD) in 30 provinces of China. We find that, with a 1% increase in DIG, NRD declines by 7.6%, with a lag effect between the two. The analysis of heterogeneous characteristics revealed the heterogeneous effects and dissimilation roles of DIG's effect on NRD. In terms of heterogeneous effects, in regions with high levels of resource endowment and low digital-economy contributions, DIG's empowering effects were more obvious. In terms of dissimilation roles, the facility foundation has played a more prominent role than digital access. We also find that, enhancing resource allocation efficiency, innovation output efficiency, and energy utilization efficiency can mediate the effects of DIG on NRD. Our findings can offer policy insights for reducing NRD to promote high-quality DIG, achieving differentiated digital empowerment patterns, and building multichannel resource reduction paths. This work also has reference value for green transformation in other developing countries and resource-based industries under the 2030 sustainable development goals.
Citation: Energy & Environment
PubDate: 2024-08-07T10:16:34Z
DOI: 10.1177/0958305X241268911
- Energy poverty measurement and determinants in rural China: Does education
inequality matter'-
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Authors: Fu Wang, Donglan Zha, Hong Geng, Chaoqun Zhang
Abstract: Energy & Environment, Ahead of Print.
Due to the pressing need to attain sustainable development goal 7, global attention on addressing energy poverty has increased. Improving rural education has been recognized as a strategy to mitigate energy poverty in rural China. However, the presence of education inequality remains a substantial challenge to energy poverty alleviation and underexamined. Our research aims to evaluate rural energy poverty levels systematically and investigate the impact of education inequality on rural energy poverty. This study begins by employing a novel weighting approach to develop a comprehensive indicator system, which accurately measures the extent of energy poverty in rural China. Subsequently, a panel fixed-effects model is utilized to analyze the causal impact of education inequality on rural energy poverty. Furthermore, the study explores the heterogeneity and potential mechanisms of education inequality on rural energy poverty. Findings reveal a decline in rural energy poverty from 2005 to 2020, and the nature of energy poverty has substantially transformed, with a greater prominence of using unclean and unaffordable energy sources. Education inequality increases rural energy poverty and indirectly affects it by reducing the income of rural residents. The influence of education inequality on rural energy poverty exhibits heterogeneity in both time and region. Policy recommendations are proposed for mitigating energy poverty and promoting education equality in rural areas.
Citation: Energy & Environment
PubDate: 2024-08-06T10:48:09Z
DOI: 10.1177/0958305X241268913
- Integrated choline chloride/citric acid-microwave pretreatment for
efficient nanolignin extraction and bioethanol production from cocoa pod
husk waste-
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Authors: Aditya Yadav, Cheng-Di Dong, Diksha Sharma, Mei-Ling Tsai, Pei-Pei Sun, Parushi Nargotra, Chiu-Wen Chen, Kamlesh Choure, Vishal Sharma
Abstract: Energy & Environment, Ahead of Print.
The necessity to address environmental issues has driven efforts toward exploring sustainable bio-based materials as a viable alternative to conventional energy sources. The current study explores the utilization of cocoa pod husk (CPH) biomass for lignin extraction and cellulose production, aiming to contribute to the eco-friendly production of lignin nanoparticles and bioethanol. A synergistic green deep eutectic solvent (DES) (choline chloride/citric acid)-microwave method was employed to effectively fractionate CPH biomass, resulting in an impressive 77.58% lignin removal at 600 W microwave power. The extracted lignin (211.56 mg/g biomass) was utilized to synthesize lignin nanoparticles that were subsequently characterized. Enzyme-driven hydrolysis of the residual cellulose yielded a reducing sugar content of 198.34 mg/g biomass, demonstrating a saccharification efficiency of 70.78%. Fermentation of monomeric sugars by Saccharomyces cerevisiae and Scheffersomyces stipitis, respectively, gave a maximum ethanol yield of 130 mg/g biomass with a high fermentation efficiency (67.17%). The alterations in the CPH's surface structure and morphology following sequential pretreatment were assessed through FT-IR, BET, and SEM analyses, facilitating effective enzymatic hydrolysis. The current investigation adds to the increasing recognition of sustainable approaches in leveraging waste biomass resources toward a more environmentally conscious future.
Citation: Energy & Environment
PubDate: 2024-08-06T10:15:59Z
DOI: 10.1177/0958305X241270269
- Navigating the role of transport and energy taxes on carbon neutrality in
Poland: A Fourier-based approach-
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Authors: Selin Karlilar Pata, Sinan Erdogan, Mustafa Tevfik Kartal, Ugur Korkut Pata
Abstract: Energy & Environment, Ahead of Print.
As part of the Green Deal, European countries have set themselves the target of halving carbon emissions by 2050. Environmental taxes are a powerful tool of environmental regulations to minimize carbon emissions, and they can play a significant role in ecological development. Poland is one of the countries that generates the most environmental tax revenues among European countries. In this context, the study analyzes the impact of energy and transport taxes on carbon emissions for Poland within the framework of the environmental Kuznets curve (EKC). Accordingly, the study applies the Fourier autoregressive distributed lag approach to the data for the period 1995/Q1–2022/Q4. The results demonstrate that (i) the EKC hypothesis is valid for Poland, (ii) energy taxes support carbon neutrality targets, and (iii) transport taxes have no impact on carbon emissions. Compatible with the results, the study suggests that the Polish government should prioritize energy taxes over transport taxes and expand them to minimize carbon emissions.
Citation: Energy & Environment
PubDate: 2024-08-06T10:15:24Z
DOI: 10.1177/0958305X241270249
- Unraveling the impact of financial stress and trade policy uncertainty on
advancing renewable energy transition in the USA-
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Authors: Yannan Gao, Muhammad Hafeez, Fadoua Kouki, Falak Sher, Muhammad Waqas Akbar
Abstract: Energy & Environment, Ahead of Print.
Renewable energy consumption (REC) has become the most suitable option to tackle the issues of energy security and climate change because it is a sustainable, clean, and affordable energy source. Literature on the determinants of REC is growing rapidly, but most rely on linear analysis. This analysis is a nonlinear perspective on the impact of financial stress and trade policy uncertainty on REC in the USA over 1995Q1-2021Q4. The study uses autoregressive distributed lag and nonlinear autoregressive distributed lag for empirical analysis. The linear estimates reveal that financial stress and trade policy uncertainty reduce long-run (LR) REC. On the other hand, the nonlinear estimates suggest that positive changes in financial stress and trade policy uncertainty reduce REC, whereas the negative changes in both these factors boost REC in the LR. While the GDP causes an improvement in REC, environmental technologies do not significantly impact the REC in the LR. In the short-run, only the linear and nonlinear estimates of financial stress and environmental technologies significantly impact REC. Due to the asymmetric nature of the findings, policymakers must take into account the positive and negative changes in the financial stress and trade policy uncertainty while devising policies to promote renewable energy transition.
Citation: Energy & Environment
PubDate: 2024-08-05T08:02:21Z
DOI: 10.1177/0958305X241262504
- Impact of AI adoption on ESG performance: Evidence from Chinese firms
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Authors: Shuangyan Li, Muhammad Waleed Younas, Umer Sahil Maqsood, RM Ammar Zahid
Abstract: Energy & Environment, Ahead of Print.
In the midst of the ongoing digital revolution, firms are increasingly embracing the artificial intelligence (AI) to optimize their operations. This study aims to explore the role of AI adoption in firm environmental, social, and governance (ESG) performance. By analyzing 23,094 firm-year observations of Chinese A-share listed firms from 2009 to 2021, the primary findings reveal that AI significantly improves firm ESG performance. This highlights the importance of technological advancements in driving environmental efficiency and promoting sustainable practices. Furthermore, the impact is more pronounced in non-state-owned enterprises, compared to state-owned enterprises (SOEs), and in central SOEs than local SOEs. Additionally, the mechanism analysis indicates that AI helps firms alleviate financing constraints, enhance internal control, and improve overall firm performance, leading to enhanced ESG performance over time. Moreover, the impact is more pronounced in regions with high fintech activity, strict environmental regulations, and high bank concentration. These findings highlight the substantial role of China's government in advancing the digital economy and broader ESG initiatives. The results remain robust and valid across different statistical methods, including PSM, sys-GMM, and 2SLS.
Citation: Energy & Environment
PubDate: 2024-08-02T10:16:40Z
DOI: 10.1177/0958305X241269041
- Hopper-air distribution impact on the low-NOx combustion and hopper
environment in a 600 MWe staged arch-firing furnace-
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Authors: Shuting Cheng, Min Kuang, Jiaqi Chen, Qihao Zhang, Wenhao Xie
Abstract: Energy & Environment, Ahead of Print.
In today's call for environmental protection and sustainable development, it is urgent to solve the environmental pollution problems caused by industrial coal-fired boilers. Aiming at the ultra-low NOx combustion against with poor burnout and hopper overheating of a 600 MWe arch-firing furnace, this article developed the allocation scheme of hopper air (HA) as the third air-staging layer under a staged arch-firing framework (SAF). Investigations were devoted to the staged HA distribution between the upper and lower HA jets (called the UHA and LHA, respectively). The flow field, coal combustion, NOx emissions, and hopper environment were compared comprehensively at five HA distribution setups of UHA:LHA = 4:6, 5:5, 6:4, 7:3, and 8:2. With increasing moderately UHA to raise the distribution ratio, the comprehensive benefits of the staged HA were obvious. That is, the UHA's function in promoting char combustion was strengthened and again, the roles of LHA to hold up the downward flame and protect hopper were guaranteed. The reductive atmosphere in the reburning zone was maintained at an optimal status added by the staged HA. While these positive improvements were reversed as raising excessively the distribution ratio. Trends of final performance indexes showed that with raising the distribution ratio, residual O2 and CO emission decreased in the whole, while both burnout loss in fly ash and NO output first descended and then ascended. Among the five setups, UHA:LHA = 6:4 gained the best low-NOx combustion merits with NOx output of 582 mg/m3 (O2 = 6%) and unburnt matter in fly ash of 4.97%. Compared with its previous deep-air-staging low-NOx furnace, the SAF incorporating with this optimal staged hopper-air distribution dropped further NOx emissions by 36%, improved combustion, and raised burnout, thereby achieving the simultaneous NOx reduction and burnout improvement. Again, the hopper environment was improved to be moderate-oxygen and low-temperature, alleviating the previous overheating problem to ensure the furnace's safe operations.
Citation: Energy & Environment
PubDate: 2024-08-02T10:16:20Z
DOI: 10.1177/0958305X241267772
- Impact of disaggregated level clean electricity on CO2 emissions: Evidence
from EU-5 countries by bivariate and multivariate QQ approaches-
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Authors: Mustafa Tevfik Kartal, Ugur Korkut Pata, Dilvin Taşkın, Shahriyar Mukhtarov
Abstract: Energy & Environment, Ahead of Print.
Considering the energy crisis in Europe and searching for alternatives, this study investigates the impact of clean electricity generation (EG) types on the environment. So, the study focuses on EU-5 countries (Germany-DEU, Spain-ESP, France-FRA, United Kingdom-GBR, and Italy-ITA), uses CO2 emissions as environmental indicator, and considers clean EG types as explanatory variables by controlling geopolitical risk. Accordingly, the study uses data from 2nd January 2019 to 29th February 2024 and applies bivariate and multivariate quantile-on-quantile regression (BQQ & MQQ) and Granger causality-in-quantiles (GCQ) as the fundamental approaches, while quantile regression (QR) is performed for the consistency check. The outcomes reveal that (i) hydro EG increases CO2 emissions across countries excluding DEU at lower and middle quantiles; (ii) solar EG curbs CO2 emissions at middle quantiles in DEU, higher quantiles in ESP and FRA, and middle and higher quantiles in ITA; (iii) wind EG has an almost decreasing impact across quantiles excluding higher quantiles in DEU and FRA; (iv) clean EG types are almost causally impactful on CO2 emissions across quantiles; (v) geopolitical risk decreases the power of the impact of clean EG alternatives on CO2 emissions, but does not change them in a reverse way. To sum up, the impact of clean EG types on CO2 emissions in EU-5 countries varies across EG types, quantiles, and countries. Thus, the study suggests that wind EG is highly beneficial for all EU-5 countries, while there is also room for growth to benefit from hydro and solar EG for some countries.
Citation: Energy & Environment
PubDate: 2024-08-02T10:16:12Z
DOI: 10.1177/0958305X241266270
- Influence of graphene nanoplatelet on carboxymethyl cellulose for enhanced
electrochemical performance-
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Authors: Muhammad Remanul Islam, Izuan Nasib, Syed Nafiz, Mohammad Dalour Beg, Kim Pickering, Mohd Al-Fatihhi, Ahmad Naim Ahmad Yahaya, Sairul Izwan Bin Safie, Md. Gulam Smdani
Abstract: Energy & Environment, Ahead of Print.
Renewable and bio-based polymers are favored over conventional synthetic polymers because of their low-cost, abundance and sustainability, but due to their average electrochemical performance, sometimes their application is limited as battery material. This study investigates the electrochemical properties of nanocomposites composed of carboxymethyl cellulose (CMC) and graphene nanoplatelets (GNP) at varying GNP ratios. Four samples with GNP weight ratios ranging from 0 to 0.33 wt.% were subjected to analysis using electrochemical impedance spectroscopy (EIS), scanning electron microscopy (SEM), and Fourier transform infrared (FTIR) spectroscopy. The sample containing 0.33% GNP exhibited the most favorable electrochemical behavior, demonstrating an ionic conductivity of approximately 2.54 × 10−5 S/cm at 25 °C. Cyclic Voltammogram and Nyquist plots indicated an electrochemical process governed by diffusion processes, particularly evident with 0.33% GNP. This sample displayed the highest specific capacitance at 4.290 F/g, representing an 83.07% improvement over the Pure CMC sample, along with a favorable electrochemical window at 375 mV. Bode plot analysis underscored the influence of diffusion and charge transfer on resistance and conductivity, highlighting enhanced ion mobility in this sample. SEM micrographs revealed improved GNP dispersion in the CMC matrix at higher GNP concentrations, enhancing contact. FTIR analysis confirmed effective CMC–GNP interaction, characterized by a specific peak at 1589 cm−1. These findings provide valuable insights into the electrochemical potential of CMC–GNP composites, offering prospects for their application in diverse electrochemical devices.
Citation: Energy & Environment
PubDate: 2024-07-26T09:59:36Z
DOI: 10.1177/0958305X241261879
- How does consumer awareness of the waste of electrical and electronic
equipment affect reverse logistics' Extended triple bottom line approach-
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Authors: Hyeseung Choi, Tongkyu Kim, Hyeonyu Son, Donghyun Ken Kim, Keunsik Park, Taewoo Roh
Abstract: Energy & Environment, Ahead of Print.
This study explores how government support and consumer awareness affect the waste of electrical and electronic equipment reverse logistics in the circular economy framework. To improve waste of electrical and electronic equipment reverse logistics consumer awareness, the extended triple bottom line concept introduces technology with traditional economic, social, and environmental aspects. The impact of government initiatives on consumer awareness and socioeconomic factors on the intention to reuse the waste of electrical and electronic equipment reverse logistics is examined. Partial least squares structural equation modeling was used to analyze survey data from 330 Chinese participants. The results revealed that government policies significantly influence extended triple bottom line awareness while socioeconomic factors impact waste of electrical and electronic equipment reverse logistics reuse intentions. However, direct government support does not significantly impact the expected service quality of waste of electrical and electronic equipment reverse logistics. These findings improve the literature by identifying relevant factors and boosting waste of electrical and electronic equipment reverse logistics comprehension in a circular economy environment, driving the development of efficient and sustainable waste management strategies.
Citation: Energy & Environment
PubDate: 2024-07-25T11:15:01Z
DOI: 10.1177/0958305X241262819
- Unveiling the dynamic nexuses between foreign investment, trade openness,
energy consumption, and CO2 emissions in South Africa: A vector error
correction model approach-
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Authors: Ampofo Joshua, Qian Xusheng,
Baffour Gyau Emmanuel, Khanyisa Sakoane, Michael Appiah
Abstract: Energy & Environment, Ahead of Print.
Amidst the rising carbon emissions posing significant challenges for the global environment, there exists an inadequate recognition of the profound implications associated with foreign investment, trade openness, and energy consumption in South Africa. This study investigates the dynamic relationship among foreign investment, trade, energy, and the interactive effect of foreign investment and trade openness on environmental pollution in South Africa using time series data from 1990 to 2020. The results from the Johansen cointegration analysis and vector error correction model confirm a sustained long-term relationship among foreign investment, trade, energy, and CO2 emissions. This suggests that any deviations from CO2 emissions equilibrium would gradually self-adjust autonomously. This study reveals the long-run positive effects of trade openness and energy consumption on environmental pollution, while foreign investment exhibits a persistent negative impact on environmental pollution in the long run. Economic growth reduces CO2 emissions, while population growth and inflation are detrimental to the environment in the long run. The interaction between foreign investment and trade reduces environmental pollution in the short and long run. The Granger causality tests show a two-way causal relationship between population growth and CO2 emissions and a one-way causal connection among other variables, enlightening the linkage among these critical factors. The study offers several policy suggestions including environmentally friendly trade practices, investing in energy efficiency and transition, and promoting sustainable foreign investment in South Africa to achieve long-term economic sustainability while curbing environmental impact.
Citation: Energy & Environment
PubDate: 2024-07-23T11:17:02Z
DOI: 10.1177/0958305X241266529
- Quantifying the influence of natural resources rent, financial
development, and institutional quality on energy security risk-
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Authors: Ping Chen, Shuntao Zhong, ShiYong Zheng, Sana Ullah, Majd Musa
Abstract: Energy & Environment, Ahead of Print.
Access to stable energy sources is crucial for sustaining economic development, providing public services, and safeguarding the wellbeing of individuals, making it a crucial component of national security and economic stability. Thus, an affordable and ample amount of energy is crucial for mitigating energy security risks. In this regard, a country needs to investigate the factors that can mitigate the risks related to energy security. The available literature on determinants related to energy security is limited. This research employs a novel cross-sectionally augmented autoregressive distributed lag model to examine the effects of natural resources rent, financial development, and institutional quality on energy security risk. The findings show that the natural resources rent, financial development, institutional quality index, voice and accountability, regulatory quality, political stability, government effectiveness, the rule of law, and control of corruption all help mitigate the energy security risk in the long run. In the short run, only financial development helps mitigate the energy security risks. The control variables of gross domestic product and trade increase the energy security risks, while the information and communications technology mitigates risks related to energy security in the long run. The findings help policymakers understand how the interaction of these factors helps reduce energy security risks.
Citation: Energy & Environment
PubDate: 2024-07-23T11:16:42Z
DOI: 10.1177/0958305X241266526
- An Italian case study of life cycle assessment for a drinking water
dispenser-
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Authors: Vincenzo Bianco, Furio Cascetta, Sergio Nardini, Renato Elpidio Plomitallo
Abstract: Energy & Environment, Ahead of Print.
The goal of this article is the comparison of global warming potential, estimated according to IPCC 2013 methodology, between bottled water and a drinking water dispenser made of pine wood. The functional unit is 1 L of water. Two cases are considered: in the first case is considered 1 L of refrigerated water supplied by a water dispenser, in the second case, it is also considered how users come back home with their water. The global warming potential for bottled water packed in polyethylene terephthalate is taken by literature, its average value is equal to 0.16 kg CO2 eq./L. In the first case, the water dispenser has a global warming potential value equal to 6.89 × 10−2 kg CO2 eq./L, the percentage difference between bottled water and water dispenser is about 43% in 100 years. In the end, a comparison of vehicles used by users to come back home is performed. The comparison shows that the use of bikes has a lower impact than cars.
Citation: Energy & Environment
PubDate: 2024-07-23T11:16:02Z
DOI: 10.1177/0958305X241266537
- Dynamic role of energy utilization, financial development, and information
technology on environmental sustainability' Evidence by the tragedy of the
commons theory-
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Authors: Yue Wei, Liuyin Ji, Muhammad Faheem, Asma Nousheen
Abstract: Energy & Environment, Ahead of Print.
Economic growth is contingent upon the financial sector expansion. A solid and well-developed financial industry can improve business opportunities. The financial sector has a decisive role to play in mitigating damage to the environment. Despite extensive research on sustainability, more needs to be accomplished in terms of pinpointing the keys to a world free of environmental degradation. The study aims to illuminate the relationship between CO2 emissions and variables such as non-renewable energy consumption, GDP growth, FDI, and information and communication technologies. Time series data for Pakistan from 1985 to 2021 is employed with the linear autoregressive distributed lag (ARDL) method, highlighting the underlying relationship between the variables. Moreover, the econometric model is derived from the STRIPAT function based on carbon as an environmental variable, while energy utilization and communication technology are population affluent. According to the empirical results of the current study, there is a negative connection between financial development and CO2. However, foreign direct investment, information and communication technologies, and non-renewable energy sources are positively associated with CO2. The study findings suggest that policymakers should promote more financial investment in greener technologies and digitization, and the government should also revamp its energy mix and emphasize alternate energy sources.
Citation: Energy & Environment
PubDate: 2024-07-23T11:15:43Z
DOI: 10.1177/0958305X241265343
- When electric vehicles bump into sharing economy: Consumer's variety
seeking in the sustainable transportation-
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Authors: Zichen Zhang, Yuan Wang
Abstract: Energy & Environment, Ahead of Print.
The development of electric vehicles incurs the consumer's variety seeking in the sharing economy. In addition to being passengers on the sharing platform, customers can rent electric vehicles from the rental company as ride-hailing drivers, rather than purchasing from the manufacturing firm. In this article, we set up a game-theoretic model to study the customer's variety-seeking behavior in the new frenemy partnership and solve the equilibrium pricing strategy and quality decision for the rental company and the sharing platform. The numerical experiments show that the rental company's price is less influenced by the valuation heterogeneity, but the sharing platform's price is the opposite. Given some real-world examples of product ownership and product usage in sustainable transportation, we discuss the consumer's variety seeking and the company/platform's pricing strategy from both the passenger and driver sides.
Citation: Energy & Environment
PubDate: 2024-07-23T10:44:08Z
DOI: 10.1177/0958305X241266530
- Towards sustainable initiatives: Evidence from green finance mitigating
ecological footprint in East Asia and Pacific nations-
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Authors: Bilal Aslam, Guitao Zhang, Muhammad Asif Amjad, Shujun Guo, Rui Guo, Azra Soomro
Abstract: Energy & Environment, Ahead of Print.
Green finance serves as a bridge between development and ecological sustainability. It provides a roadmap for countries to accomplish sustainable development goals by simultaneously curbing their ecological footprint. Green financing prioritizes eco-friendly technologies, sustainable behaviors, renewable energy, and green infrastructure, promoting positive changes. This study examines the role of green finance on the ecological footprint of 11 East Asian and Pacific countries from 2000 to 2023. This study uses different diagnostic tests to prove the existence of cross-sectional dependency, non-normality, and slope heterogeneity. The coefficients are estimated using the fully modified ordinary least squares (FMOLS) approach and panel quantile regression at different quantiles. The results show the validity of an inverted U-shaped relationship between green finance and the ecological footprint. Further analysis explores that at the middle quantile, all selected countries except Mongolia and the Philippines, while the FMOLS approach shows that all countries’ green finance reduces their ecological footprint. Additionally, globalization reduces the ecological footprint, while economic growth, industrialization, and urbanization increase the ecological footprint. This study recommends that to fight against climate change, the selected countries should focus more on green finance. Financial institutions should provide funds only for environment-friendly technologies.
Citation: Energy & Environment
PubDate: 2024-07-22T12:43:25Z
DOI: 10.1177/0958305X241262937
- Impact of safety regulation on rare event occurrence: The case of nuclear
power plants in Korea-
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Authors: Bongseok Choi, Hong Chong Cho
Abstract: Energy & Environment, Ahead of Print.
Climate change mitigation and energy supply security are the most important issues worldwide. To attain carbon neutrality and restrict global warming to 1.5°C, expediting investments in energy sectors and facilitating the expansion of clean energy is imperative. Nuclear power generation, as a base load, contributes to the energy transition because it is low-carbon and can be deployed on a large scale; however, particular challenges arise due to the risk of accidents, radioactive waste management problems, and public acceptance. Considering the similarity between macroeconomic data and nuclear power generation data from a time-series perspective, this study estimates the frequency of rare event (RE) occurrence in nuclear reactors using macro time-series methodology. We employ the Bayesian Markov Chain Monte Carlo method, developed by Barro and Jin (2021), to estimate the likelihood of RE occurrences for the reactors using the panel data of electricity production (MWh) obtained from the International Atomic Energy Agency's Power Reactor Information System. The findings indicate that the frequency of RE occurrences significantly decreases as nuclear safety regulations strengthen and the regulatory workforce increases. Despite the limitations of being directly utilized as practical indicators for safety performance, observing its similar pattern with the World Association of Nuclear Operators performance indicators provides insights for policy implications in intermediate safety management aimed at preventing major disaster incidents.
Citation: Energy & Environment
PubDate: 2024-07-22T12:42:25Z
DOI: 10.1177/0958305X241262817
- Growth-environment nexus in Canada: Revisiting EKC via demand and supply
dynamics-
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Authors: Md. Idris Ali, Md. Monirul Islam, Brian Ceh
Abstract: Energy & Environment, Ahead of Print.
Previous research on the growth-environment nexus has predominantly focused on demand-side indicators, disregarding the supply-side dynamic and the environmental Kuznets curve (EKC) hypothesis. This study examines the role of economic growth on environmental quality in Canada, considering various macroeconomic factors such as energy consumption, technology innovation, foreign direct investment, and institutional quality. Using time series data for the period 1990 to 2022, this study employs the dynamic autoregressive distributive lag (DARDL) co-integration model to assess the co-integrating relationship among variables and conduct counterfactual shock analysis. The results demonstrate that economic growth significantly affects demand-side dynamics, leading to increased carbon emissions and ecological footprint, while concurrently reducing the supply-side factor, namely the load capacity factor, in both the short and long run. Notably, these findings include the confirmation of the EKC hypothesis as it relates to environmental safety, measured through energy consumption within the Canadian context. In addition, counterfactual analysis of the DARDL approach examines the effects of (±) 1% and (±) 5% shocks from the independent to dependent variables. For robustness, the kernel regularized least squares machine learning algorithm validates the results obtained from the DARDL estimation technique. The study's findings suggest implementing stringent environmental policies to enhance supply-side environmental parameters while carefully balancing energy consumption to support growth. It is crucial to ensure that economic growth is not achieved at the expense of environmental degradation in Canada.
Citation: Energy & Environment
PubDate: 2024-07-22T02:22:26Z
DOI: 10.1177/0958305X241263833
- Analyzing gas and oil efficiency's role in environmental management: Does
political risk matter'-
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Authors: Victoria Olushola Olanrewaju, Dervis Kirikkaleli
Abstract: Energy & Environment, Ahead of Print.
This study investigates how eco-innovation, gas efficiency, and oil efficiency can mitigate the environmental impacts of the United Kingdom's reliance on fossil fuels and natural resource consumption, aligning with the sustainable development goals (SDGs). Focusing specifically on the United Kingdom, the study assesses the effects of eco-innovation, gas efficiency, oil efficiency, and political risk on environmental management using quarterly data from 1995 to 2020. To achieve these objectives, a range of quantitative methods are employed, including quantile-on-quantile regression, quantile regression, and causality-in-quantile analysis. The results indicate that political risk positively influences CO2 emissions in the lower quantiles but negatively affects the middle and higher quantiles. Moreover, all independent variables—gas efficiency, political risk, eco-innovation, and oil efficiency—significantly predict CO2 emissions across different quantiles. These findings are crucial for formulating comprehensive policies to effectively promote the objectives of SDGs 7, 9, and 13 in the United Kingdom.
Citation: Energy & Environment
PubDate: 2024-07-21T04:13:34Z
DOI: 10.1177/0958305X241262428
- Reshaping sustainability through climate attention, financial regulations,
and energy policy-
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Authors: Chunhui Wu, Nasiru Inuwa, Lianne M.Q. Lee, Sana Fatima, Muhammad Saeed Meo
Abstract: Energy & Environment, Ahead of Print.
The United States is classified as “insufficient” by the climate action tracker (CAT), indicating a lack of progress in addressing crucial environmental concerns. This highlights the inadequacy of current policy measures, especially in achieving the sustainable development goal (SDG) 13. In view of this, the present study examines the impact of public climate attention, financial regulations, and energy policy uncertainty on the load capacity factor in the United States. The quarterly data spanning from 2004 to 2021 has been analyzed by employing a unique bootstrap rolling window Granger causality test. The findings confirm that an increase in public climate attention and financial regulations positively affects the load capacity factor, indicating an improvement in environmental quality. Further, it was found that an increase in energy policy uncertainty negatively affects the load capacity factor, indicating environmental degradation. The study highlights policy implications to support the United States in achieving SDG 13.
Citation: Energy & Environment
PubDate: 2024-06-18T06:40:00Z
DOI: 10.1177/0958305X241261881
- Track to reach net-zero: Progress and pitfalls
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Authors: Suhaib A Bandh, Fayaz A Malla, Tuan-Dung Hoang, Irteza Qayoom, Haika Mohi-Ud-Din, Shahnaz Bashir, Richard Betts, Thanh Tuan Le, Duc Trong Nguyen Le, Nguyen Viet Linh Le, Huu Cuong Le, Dao Nam Cao
Abstract: Energy & Environment, Ahead of Print.
Over recent years, many companies and countries have established net-zero emission objectives for 2050 or sooner. Frankly, there will be fraught with challenges and dangers to some extent to attain net-zero. Therefore, we scrutinized the importance of net-zero strategies and plans/roadmap to attain these net-zero goals in this review. We found that overcoming the diverse obstacles including settling on a formal definition of the concept, increasing global financing and infrastructure investments, and ensuring that advancements in green technology occur while keeping their costs low or subsidizing them is very imperative to quickly transition away from carbon-emitting fossil fuels. Other challenges could include getting the net-zero ball moving on difficult-to-decarbonize sectors, choosing the correct carbon offsets, not relying solely on renewable energy credits, and striking the right balance between climate-related policies at various levels. Based on the review analysis, we suggested some solutions to achieving net-zero by 2050, as well as long-run scenarios. In short, all components of sustainable development, socioeconomic sustainability, or the pursuit of broad developing opportunities must be matched with a net-zero emission-based economy, this ensures stability and harmony in the balance between national targets and international benefits.
Citation: Energy & Environment
PubDate: 2024-06-14T07:01:39Z
DOI: 10.1177/0958305X241260793
- Digitalization's role in shaping climate change, renewable energy, and
technological innovation for achieving sustainable development in top
Asian countries-
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Authors: Chao Huang, Chunlei Wang, Tayyaba Rani, Syed Aziz Ur Rehman
Abstract: Energy & Environment, Ahead of Print.
Digitalization has emerged as a key player in reducing pollution and fostering a shift towards a low-carbon economy. However, its effectiveness in enhancing environmental sustainability hinges on the collaborative efforts of various economic stakeholders and their engagement with digital technologies. This research delves into the role of digitalization in advancing green innovation and facilitating the transition to renewable energy, focusing on its impact on environmental sustainability. Analyzing data from leading Asian countries from 1990 to 2022 through Panel quantile regression, the study reveals that digitalization significantly boosts environmental sustainability with green innovation and energy transition efforts. The findings highlight that green innovation is critical in diminishing ecological degradation, with notable effects (−0.085%, −0.104%, and −0.028%) across different quantiles, decreasing resource consumption and fostering sustainability. Furthermore, the shift towards renewable energy contributes to a cleaner environment by supporting decarbonization initiatives, thereby lessening environmental degradation. The analysis demonstrates that digitalization (−0.002%, −0.015%, −0.006%) curtails environmental degradation across various quantiles. Importantly, digitalization's interaction with green innovation and renewable energy acts synergistically to curb ecological degradation in Asia's leading economies. The study suggests that policy integration involving digitalization and green innovation could yield more excellent environmental benefits than the isolated impact of digitalization. By enhancing efficiency, optimizing resource utilization, encouraging the uptake of renewable energy, and fostering sustainable practices, the combined effect of digitalization and green initiatives offers substantial prospects for reducing environmental degradation. Consequently, policy frameworks that incorporate digitalization can significantly improve environmental quality.
Citation: Energy & Environment
PubDate: 2024-06-14T07:00:55Z
DOI: 10.1177/0958305X241258799
- Do resource efficiency and energy productivity matter for environmental
sustainability in G7 '-
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Authors: Dervis Kirikkaleli, Muhammad Umar
Abstract: Energy & Environment, Ahead of Print.
In spite of the fact that the COP26 and COP27 Climate Conferences clearly emphasized the importance of resource efficiency in reducing global CO2 emissions, there is a paucity of empirical literature on the effect of resource efficiency on environmental sustainability. To close the gap in the literature and open new debate about the concept, the present study aims to capture the effect of resource efficiency on environmental sustainability in the G7 countries using novel panel-based estimators. The present study employs second-generation panel estimators, namely Westerlund model, common correlated effects mean group, augmented mean group, and Juodis, Karavias, and Sarafidis Granger noncausality tests. The outcomes of the study reveal that (i) there is a long-run linkage between environmental sustainability and resource efficiency, energy productivity, economic growth, and financial development; (ii) resource efficiency is an important predictor of environmental sustainability, whereas resource efficiency also causes to decrease in CO2 emissions in G7 countries; (iii) economic growth contributes to the environmental sustainability negatively. To achieve a low-carbon future, G7 policymakers should continue to raise awareness about resource efficiency. Moreover, it is possible for policymakers to reduce regulatory and market barriers by targeting their policies and programs to promote energy productivity.
Citation: Energy & Environment
PubDate: 2024-06-13T06:41:03Z
DOI: 10.1177/0958305X241260073
- Utilization and challenges of artificial intelligence in the energy sector
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Authors: Chankook Park, Minkyu Kim
Abstract: Energy & Environment, Ahead of Print.
This study harnesses structural topic modeling and expert surveys to delve into the expanding influence of artificial intelligence (AI) within the energy sector, analyzing around 6000 academic paper abstracts from 2011 to 2020. Our detailed examination identified 100 distinct topics, of which 15, accounting for a combined proportion of 16.4% of the total, were directly related to energy, highlighting key areas such as power consumption, thermal energy management, wind energy evaluation, and building energy management. Furthermore, an expert survey offered deep insights into future changes, spotlighting AI's role in enhancing safety, stability, efficiency, and environmental sustainability of energy systems. It also pinpointed challenges in AI adoption within the sector, proposing pathways to bolster AI reliability, improve data quality, and enhance human–AI collaboration. This comprehensive analysis not only highlights the dynamic role of AI in transforming the energy sector but also sets a foundational framework for future interdisciplinary research, aiming to integrate quantitative and qualitative insights for a holistic understanding of AI's potential in sustainable energy development.
Citation: Energy & Environment
PubDate: 2024-06-13T06:40:44Z
DOI: 10.1177/0958305X241258795
- Unearthing the pressures: An assessment of the sustainability focus and
supply chain management practices adopted by global oil and gas titans-
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Authors: Augustine Okeke, Lukman Jimoh Rahim
Abstract: Energy & Environment, Ahead of Print.
This study aims to explore the influence of institutional pressures on the global oil and gas industry's prioritisation of sustainability and supply chain management (SCM) practices. This study conducted a thorough analysis of 15 prominent oil and gas companies across Europe, Asia and America over a span of 10 years. The study employed a mixed-method approach, combining qualitative content analysis of annual reports with quantitative analysis of variance to assess the companies’ commitment to sustainability practices in response to different institutional pressures. The findings uncovered notable variations in the prioritisation of economic, social, environmental and stakeholder sustainability across different continents. The study also highlighted various institutional pressures that impact these companies, including regulatory demands, Paris Agreement objectives and non-governmental organisation expectations. Notably, these companies displayed different levels of responsiveness to these pressures, which impacted their SCM and sustainability strategies. This research also highlights the intricate relationship between institutional pressures and sustainability within the oil and gas industry. This implies that companies should develop strong sustainability strategies that align with external pressures to improve their competitive advantage. For policymakers, the study suggests the development of more robust regulatory frameworks that consider the varying sustainability practices across different regions. Furthermore, it promotes the need for additional research to investigate the effectiveness of these strategies in real-world applications, establishing a foundation for well-informed policy choices that support a sustainable future in the oil and gas industry.
Citation: Energy & Environment
PubDate: 2024-06-12T07:56:30Z
DOI: 10.1177/0958305X241256292
- The role of new energy vehicles battery recycling in reducing China's
import dependance on lithium resources-
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Authors: Bingchun Liu, Fan Liu
Abstract: Energy & Environment, Ahead of Print.
China's lithium mines are highly dependant on imports, and the mitigating role of recycling new energy vehicle (NEV) batteries is not yet clear. In this research, a multifactor input GRA-BiLSTM forecasting model for NEV sales is proposed to predict the sales of NEVs under three scenarios from 2023 to 2030, and the number of end-of-life batteries in each year is calculated by the Weibull distribution. The results show that NEV sales in 2030 will reach 15.49 million units in the base scenario, with up to 10.5 Mt of lithium resources recovered from 2023 to 2030, reducing import dependance to 63% overall. Under each scenario, recycled batteries could play a role in reducing the value of lithium import dependance by at least 16%.
Citation: Energy & Environment
PubDate: 2024-06-10T08:01:55Z
DOI: 10.1177/0958305X241256035
- Matching analysis of new energy vehicle charging demand and charging
infrastructure power supply capacity: A case study of China's capital
Beijing-
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Authors: Bingchun Liu, Yuhang Wang, Shuai Wang
Abstract: Energy & Environment, Ahead of Print.
The random charging behavior of new energy vehicles (NEVs) will bring new challenges to the matching between electric vehicle charging facilities (EVCF) and NEVs. In order to explore whether the power supply capacity of urban EVCF can meet the charging requirements of NEVs, using the progression of NEVs in Beijing as a basis, initially, the Monte Carlo simulation (MCS) approach simulates the power demand trajectory for NEVs in the region. Subsequently, to forecast the ownership trends of NEVs across three distinct scenarios from 2021 to 2030, the study employs Grey correlation analysis combined with the bidirectional long short-term memory model (GRA-BiLSTM), facilitating the determination of NEVs’ charging needs. Second, the charging supply of EVCF for the next 10 years is derived by analyzing different development scenarios with three growth rates of EVCF and three combinations of fast and slow pile ratios. The findings indicate a discrepancy between the rate of increase in ownership of NEVs and the rate of increase in charging infrastructure in Beijing between 2021 and 2030. Even under a scenario of high growth in NEV ownership, the balance between supply and demand for charging capacity is not achieved, resulting in suboptimal utilization of charging infrastructure.
Citation: Energy & Environment
PubDate: 2024-06-07T09:14:14Z
DOI: 10.1177/0958305X241251430
- A review of polymeric bipolar plates for proton exchange membrane fuel
cells: Materials, fabrication, applications, cost analysis, and current
status-
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Authors: Saurabh Mishra, Vijay Verma, Vimal Kishore, Ravindra Kumar
Abstract: Energy & Environment, Ahead of Print.
Bipolar plates play a crucial role in the performance and viability of proton exchange membrane fuel cells. Polymeric composites have demonstrated their potential as alternatives to graphite and metallic materials for bipolar plates due to their good corrosion resistance, lightweight nature, flexibility, and cost-effectiveness. However, these polymeric materials often suffer from low electrical conductivity. The incorporation of various electrically conducting fillers can improve the electrical conductivity of these materials. This work presents a comprehensive review of the utilization of polymeric materials-based composites for bipolar plates for proton exchange membrane fuel cells. Various aspects related to bipolar plates in proton exchange membrane fuel cells, including materials, fabrication techniques, applications, cost analysis, and the current status of proton exchange membrane fuel cells are discussed in this work. Both thermoplastic and thermoset-based composites are explored as matrix materials for bipolar plates, along with different conducting filler/reinforcement options, and their best results are also explored. The impact of traditional as well as emerging fabrication techniques on the performance of bipolar plates is evaluated, emphasizing the need to reduce the cost of bipolar plates for the commercialization of proton exchange membrane fuel cells. Furthermore, the paper also examines the applications and current status of proton exchange membrane fuel cells in India as well as worldwide.
Citation: Energy & Environment
PubDate: 2024-06-07T05:01:51Z
DOI: 10.1177/0958305X241259990
- Erratum to “Do Regulatory Affairs, Political Stability, and Renewable
Energy Demand Improves Environmental Quality' Perceptive from SAARC
Region”-
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Abstract: Energy & Environment, Ahead of Print.
Citation: Energy & Environment
PubDate: 2024-06-06T02:40:10Z
DOI: 10.1177/0958305X241247889
- How renewable and nuclear energy-related research and development
expenditures pave the way for curbing carbon emissions in France'-
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Authors: Ugur Korkut Pata, Mustafa Naimoglu
Abstract: Energy & Environment, Ahead of Print.
Research and development expenditures on clean energy have recently become an important option for sustainable development solutions. The lack of a study examining the impact of clean energy research and development expenditures on ecological quality in France is a research gap. With this motivation, this study aims to explore the impact of energy prices, technological advancements in renewable and nuclear energy on carbon (CO2) emissions in France from 1990 to 2020. To this end, the study employs the Fourier autoregressive distributed lag approach. The study recognizes the importance of environmental quality for sustainable development and highlights the negative ecological impact of fossil fuels. It points out that nuclear and renewable energy are valuable alternatives to fossil fuels. In addition, the study points out that rising energy prices can help encourage a switch to cleaner energy sources by making fossil fuels less economically viable. However, the adoption of alternative energies depends on factors such as cost and technological infrastructure. In particular, technological advancements in renewables have a greater impact on CO2 mitigation than those in nuclear energy. The unique contribution of this study is to explore the impact of energy-related technological developments on ecological quality in France, filling a research gap.
Citation: Energy & Environment
PubDate: 2024-06-05T07:32:47Z
DOI: 10.1177/0958305X241258798
- Enhanced Copper(II) bioremediation using Sargassum duplicatum derived
biochar from various water sources-
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Authors: Prashant Kumar, Anil Kumar Patel, Reeta Rani Singhania, Yamini Sumathi, Chiu-Wen Chen, Cheng-Di Dong
Abstract: Energy & Environment, Ahead of Print.
This study presents Sargassum duplicatum-derived biochar as an efficient solution for removing heavy metals from various water sources, addressing a critical sustainability need. Achieving a remarkable adsorption efficiency of 617 mg/g within 4 h at pH 5 and 150 rpm, surpassing previous findings, the biochar demonstrates exceptional efficacy. Impressively, it achieves removal efficiencies of 97.56% in tap water and 99.05% in seawater. Investigating various heavy metals, the study reveals differential adsorption and removal efficiencies across different water sources. Utilizing scanning electron microscopy, Fourier-transform infrared spectroscopy, and Brunauer–Emmett–Teller analyses, the study elucidates the biochar's porous structure and significant surface area, enhancing its effectiveness. Notable attributes include low-temperature sensitivity, pH 5 optimization, and excellent fits to Langmuir and Pseudo-second-order kinetics models. This research underscores Sargassum duplicatum-derived biochar as a chemically active material, offering a promising solution to water contamination challenges with innovation and remarkable efficiency.
Citation: Energy & Environment
PubDate: 2024-06-05T06:59:57Z
DOI: 10.1177/0958305X241259511
- Constructing a predicting model for ecological footprint in G20 countries
through artificial neural network-
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Authors: Ahmad Roumiani, Kiyan Shakarami, Abdul Basir Arian
Abstract: Energy & Environment, Ahead of Print.
The purpose of this research is to build an estimated model for the ecological footprint (EF) in the G20 countries in the period of 1999–2018, the last two decades. These countries have faced extensive EF changes and developments. This aim, indices (The Global Footprint Network and World Bank) has been used. Artificial neural network (ANN) models have been used for data analysis and index fitting. The findings of this research showed that the EF has been increasing in China with an average of (16.37), France (14.58), Brazil (9.37), and the United States (3.66). Root mean square error value in the first model (0.140), in the second model (0.0275), in the third model (0.0275) in the fourth model, is equal to (0.0608) and in the fifth model it is equal (0.11484). Therefore, the accuracy of EF prediction in neural network models 2 and 4 is 97.5% and 97.5%, respectively. Also, we believe that in better management of the EF, the use the ANN can be efficient and effective in forecasting the G20 countries. This study can provide two important contributions to the managers of this country in examining the environmental degradation of the G20 countries. First, the use of ANN is one of the methods of artificial intelligence that has a very high and acceptable accuracy in selecting research variables. Second, we used ANN models to solve the problem of prediction accuracy and selection of effective variables.
Citation: Energy & Environment
PubDate: 2024-06-03T06:32:49Z
DOI: 10.1177/0958305X241255063
- Natural resource depletion and carbon inequality: An empirical insight
from developed and developing countries-
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Authors: Yuanyuan Xu, Jing Jia, Hamid Mahmood, Samia Khalid
Abstract: Energy & Environment, Ahead of Print.
Despite its profound implications for sustainable development, carbon inequality remains largely overlooked by many countries. It necessitates the development of targeted strategies to address its root causes and mitigate its impact. This study examines the effects of natural resource depletion on CI in both developed and developing countries from 1990 to 2020, using a newly developed carbon inequality (CI) index. The empirical study employs sophisticated econometric approaches, namely the cross-sectional autoregressive distributed lag and augmented mean group models. These models were specifically developed to address cross-sectional dependency and slope heterogeneity in the dataset. Our findings reveal a worrisome trend, indicating that CI is on the rise in both developed and developing countries due to the depletion of natural resources. Furthermore, fossil fuel energy consumption, globalization, and population growth are significant contributors to the escalation of CI. To shed further light on the causal relationships between variables, we employ the Dumitrescu and Hurlin (2012) causality test. Based on the outcomes, we propose developing robust public monitoring systems to assess individual carbon emissions as a crucial step in addressing this issue effectively. Moreover, our study highlights the imperative for a concerted global effort to transition towards sustainable resource management, reduce consumption levels, and ensure an equitable distribution of the benefits derived from natural resources. These recommendations hold the potential to alleviate the pressing challenge of CI, aligning countries with the objectives of sustainable development and environmental stewardship.
Citation: Energy & Environment
PubDate: 2024-05-27T05:03:22Z
DOI: 10.1177/0958305X241256551
- A thermal energy analysis of binary (Go-Co/H2O) and ternary
(Go-Co-Zro2/H2O) nanofluids based on characterization and thermal
performance-
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Authors: Syed M Hussain, Sohail Ahmad, Kashif Ali, Mohammed K Al Mesfer, Mohd Danish, Wasim Jamshed, Kashif Irshad, Hijaz Ahmad
Abstract: Energy & Environment, Ahead of Print.
Hybrid or binary nanofluids have superior mechanical and thermal characteristics but the tri-hybrid nanofluids comprise of more embellished thermal properties, better physical strength, and enhanced stability. The present work characterizes the thermal and physical aspects of the hybrid and tri-hybrid nanofluids. The nano-composition of graphene oxide (Go) and cobalt (Co) is used in the amalgamation of hybrid nanofluid Go-Co/H2O, whereas the addition of zirconium oxide (ZrO2) in this mixture gives rise to the ternary Go-Co-ZrO2/H2O hybrid nanofluid. The activation energy and viscous dissipation terms are also amended in the governing equations. The mathematical framework consists of a complex natured dynamical system. However, a numerical algorithm based on finite-difference discretization is developed which can solve the system numerically via the MATLAB software. A comparison with the existing literature is provided in order to validate the numerical procedure. From the outcomes, it is noticed that the temperature of hybrid as well as tri-hybrid nanofuid increases rapidly with change in concentration of zirconium oxide and cobalt. Temperature increases up to 20% by taking 0.1 volume fraction of both zirconium oxide and cobalt. Porous medium and activation energy resist the flow and concentration respectively. A comparative judgment evidently reveals that tri-hybrid Go-Co-ZrO2/H2O nanofluid has a substantial effect on temperature as equated to hybrid or pure nanofluid.
Citation: Energy & Environment
PubDate: 2024-05-25T06:48:38Z
DOI: 10.1177/0958305X241256038
- Financing the future: Asymmetric association between green investment and
electric vehicles-
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Authors: Nan Tang, Yuemeng Ge, Sajid Ali, Raima Nazar
Abstract: Energy & Environment, Ahead of Print.
Green investment in electric vehicles represents a pivotal shift towards a sustainable future, promising to revolutionize our transportation systems while significantly reducing greenhouse gas emissions. This research aims to probe the linkage between green investment and electric vehicles across the top 10 economies with the highest electric vehicle adoption rates (China, USA, Norway, Germany, UK, France, Portugal, Netherlands, Belgium, and South Korea). Unlike earlier studies that primarily utilized panel data methods and overlooked the individual nuances of each country, our investigation employs the advanced ‘Quantile-on-Quantile’ technique. This novel approach enables us to delve into the relationships between variables within each specific country, thereby improving the precision of our analysis. As a result, this study provides a comprehensive global viewpoint, revealing nuanced findings about each nation's distinct characteristics. The study's findings express a positive connection between green investment and the electric vehicle stock in various segments of the sample economies. Furthermore, this research highlights diverse trends in these connections within different nations. The results emphasize policymakers’ need to conduct comprehensive evaluations and develop effective strategies to address changes in both green investment and electric vehicles.
Citation: Energy & Environment
PubDate: 2024-05-25T06:47:20Z
DOI: 10.1177/0958305X241252104
- Finding the gaps in design strategies and technological advancements for
net-zero energy buildings development in India-
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Authors: Pushpendra Kumar Chaturvedi, Nand Kumar, Ravita Lamba
Abstract: Energy & Environment, Ahead of Print.
The climate-adaptive net-zero energy building design is an effective trend for achieving a carbon-neutral environment and reducing global energy demand, especially, in India where building energy consumption recorded substantial growth in the past decade. This review article focuses on the development of net-zero energy buildings in tropical climates through the analysis of 44 real case studies. This study investigates the building envelope parameters, advance technologies, and their effectiveness on the building energy models. In the first phase of this study, fourteen net-zero energy buildings or high-performance buildings in the USA, China, and India considering energy-efficient design features and their significant effect on energy consumption have been examined. Moreover, the role of building simulation tools in improving energy efficiency is discussed. The second phase investigates the thirty best practices of net-zero energy buildings in tropical climates worldwide based on envelope choices, heating, cooling, and lighting features. Furthermore, this review discusses the evolving definitions, challenges, and inconsistencies in terminologies of net-zero energy building and illustrates India's initiatives towards net-zero development. The objectives of this review study are to highlight the challenges in building material research, advanced lighting, heating, ventilation, and air conditioning technologies, and integration of renewable energy compared to developed nations. Additionally, the gaps that are the barriers to the development of net-zero energy building in India have been identified. The review eventually concludes by providing policy recommendations and suggesting areas for future research to facilitate net-zero energy-building development in India.
Citation: Energy & Environment
PubDate: 2024-05-23T07:17:03Z
DOI: 10.1177/0958305X241256039
- Optimizing renewable energy systems through artificial intelligence:
Review and future prospects-
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Authors: Kingsley Ukoba, Kehinde O. Olatunji, Eyitayo Adeoye, Tien-Chien Jen, Daniel M. Madyira
Abstract: Energy & Environment, Ahead of Print.
The global transition toward sustainable energy sources has prompted a surge in the integration of renewable energy systems (RES) into existing power grids. To improve the efficiency, reliability, and economic viability of these systems, the synergistic application of artificial intelligence (AI) methods has emerged as a promising avenue. This study presents a comprehensive review of the current state of research at the intersection of renewable energy and AI, highlighting key methodologies, challenges, and achievements. It covers a spectrum of AI utilizations in optimizing different facets of RES, including resource assessment, energy forecasting, system monitoring, control strategies, and grid integration. Machine learning algorithms, neural networks, and optimization techniques are explored for their role in complex data sets, enhancing predictive capabilities, and dynamically adapting RES. Furthermore, the study discusses the challenges faced in the implementation of AI in RES, such as data variability, model interpretability, and real-time adaptability. The potential benefits of overcoming these challenges include increased energy yield, reduced operational costs, and improved grid stability. The review concludes with an exploration of prospects and emerging trends in the field. Anticipated advancements in AI, such as explainable AI, reinforcement learning, and edge computing, are discussed in the context of their potential impact on optimizing RES. Additionally, the paper envisions the integration of AI-driven solutions into smart grids, decentralized energy systems, and the development of autonomous energy management systems. This investigation provides important insights into the current landscape of AI applications in RES.
Citation: Energy & Environment
PubDate: 2024-05-23T06:02:32Z
DOI: 10.1177/0958305X241256293
- A multilevel system cross-game dynamics approach for carbon emission
governance strategy-
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Authors: Yi Ding, Jian Yin, Hongtao Jiang
Abstract: Energy & Environment, Ahead of Print.
The relationships within the carbon emissions game are diverse and intricate, encompassing both horizontal games between regions and vertical games involving governments, enterprises, and the public. To explore the complex game relationships among carbon emission entities, this study integrated horizontal and vertical games and applied the system dynamics method to construct a multilevel and multiagent cross-game model, analyzing the changing trends of strategies among different regional governments, enterprises, and the public. The research reveals that there is free-riding behavior in the governance of carbon emissions among regions. However, this free-riding behavior can lead to a virtuous cycle. The attitude of the government plays a crucial role in determining whether businesses engage in carbon emission management. Increasing government regulatory efficiency does not alter the outcome of the game, but it can reduce the time required to reach Nash equilibrium. The study enhances the simulation of carbon emission game theory and provides a reliable reference for government regulation and low-carbon development in businesses.
Citation: Energy & Environment
PubDate: 2024-05-23T05:58:33Z
DOI: 10.1177/0958305X241256036
- Indian energy policies amidst urban population and economic growth:
Sourcing evidence from time-frequency domain analysis-
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Authors: Avik Sinha, Tomiwa Sunday Adebayo, Festus Victor Bekun
Abstract: Energy & Environment, Ahead of Print.
Relying solely on fossil fuel-driven economic growth could prove unsustainable, particularly in India, where the adverse environmental impact of this growth trajectory is increasingly affecting overall economic development. This challenge may hinder the realization of the sustainable development goals (SDGs) in the country. Therefore, to address this policy concern, an empirically investigation on the influence of various growth drivers on India's economic growth from 1965 to 2019 was conducted by this present study. Leveraging time-frequency estimators like gradual shift causality tests and Wavelet Coherence, the study yields a range of findings that can inform the formulation of an SDG-oriented policy framework. These outcomes not only acknowledge the detrimental environmental consequences of economic growth but also provide insights into addressing energy security issues. Ultimately, this research enhances to the literature by suggesting a comprehensive and adaptable policy framework aimed at advancing SDGs 7, 8, 12, and 13.
Citation: Energy & Environment
PubDate: 2024-05-23T01:15:30Z
DOI: 10.1177/0958305X241251464
- Renewable energy role in low-carbon economy and net-zero goal:
Perspectives and prospects-
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Authors: Van Giao Nguyen, Ranjna Sirohi, Minh Ho Tran, Thanh Hai Truong, Minh Thai Duong, Minh Tuan Pham, Dao Nam Cao
Abstract: Energy & Environment, Ahead of Print.
Several issues such as sustainability, CO2 footprint, and energy supply security which primarily resulted from fossil fuel emissions have become the main concerns for analysts and policymakers worldwide. Therefore, to meet the goals of sustainable energy as well as the switch to a net-zero and low-carbon economy, energy systems must be diversified by increasing the implementation of renewable and clean sources of energy. This paper focused on the deep analysis of the key role of bioenergy, geothermal, solar, hydropower or hydrogen, ocean, and wind (BIGSHOW) renewable energy in producing clean energy aiming to attain the sustainable net-zero norms and climate change mitigation. Furthermore, AI technology and its applicability were also introduced to enhance the management efficiency of BIGSHOW in energy-use strategies. More importantly, barriers and bottlenecks of deploying BIGSHOW projects and applications were comprehensively analyzed. Finally, policy implications and vital solutions were thoroughly presented aiming to increase the penetration of BIGSHOW to the energy system. In short, this work could be strong and persuasive evidence for speeding up the shifting progress of a precarious fossil fuel-based economy to a sustainable low-carbon one, in which BIGSHOW has been known as the core role.
Citation: Energy & Environment
PubDate: 2024-05-22T12:29:02Z
DOI: 10.1177/0958305X241253772
- An empirical investigation of the impact of energy consumption,
globalization and natural resources on ecological footprint and economic
growth, evidence from China, Japan, South Korea and China Taiwan-
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Authors: Kuiquan Zhu, Arshad Ali, Taiming Zhang, Muhammad zada
Abstract: Energy & Environment, Ahead of Print.
Natural resources are regarded as important indicators that make great contributions to reducing environmental pollution and promoting growth in today's era of globalization. Thus, a more rigorous assessment of the complexity of determining growth and ecological footprint is critical. This study examines the dynamic linkages between globalization, natural resources, renewable and non-renewable energy use, ecological footprint and growth in Taiwan, Japan, China, and South Korea from 1975 to 2020. In terms of the certainty of cross-sectional dependence of panel variable data, this study uses second-generation panel unit root, cointegration, long-term elasticity, and two-way causality estimation tests to obtain reliable and valid results. The findings explore the fact that environmental degradation is substantially mitigated by the using of renewable energy sources, while other underlying factors, such as non-renewable energy sources, natural resource rent (NRR), economic growth, and globalization, exacerbate environmental pollution. In addition, the use of renewable and non-renewable energy, NRRs and globalization drive economic progress. Globalization and ecological footprint have a bilateral causal association. The research analysis supports the feedback hypothesis based on a bidirectional causal relationship between renewable energy use and ecological footprint. Based on the empirical findings of the current study, various policy endorsements are proposed to scare and control environmental damage without hampering growth in specific East Asian economies.
Citation: Energy & Environment
PubDate: 2024-05-22T12:28:48Z
DOI: 10.1177/0958305X241251421
- Understanding the complex dynamics of climate change in BRICS countries:
Analyzing the COP26 and COP27 agendas-
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Authors: Dil Jan, Maaz Ahmad, Xiao Gu
Abstract: Energy & Environment, Ahead of Print.
The urgency to address climate change becomes increasingly evident as we observe a rise in devastating natural disasters and significant changes in global temperatures. This comprehensive study critically assesses the adherence to climate targets set at COP26 and COP27, employing a dual approach encompassing theoretical and empirical aspects—basic and additional analysis. According to theoretical findings, China, Brazil, and South Africa are still experiencing an increase in climate change indicators despite their collective efforts. Notably, Brazil has shown limited progress in green financing initiatives. Moving to an empirical analysis covering 1995–2021, the study employs advanced econometric techniques, including panel ARDL, FMOLS, DOLS, CS-ARDL, and Grey forecasting models (GM (1,1) and DGM (1,1)). The past data on energy production using both renewable and non-renewable sources spanning from 2010 to 2021 to forecast energy production for the next 8 years, extending up to 2029. Results indicate that green financing, renewable energy consumption, natural resource rents, and government effectiveness significantly reduce GHG emissions. Conversely, economic growth, including its cubic form, exacerbates GHG emission trends. Moreover, the study validates the environmental N-shaped hypothesis in the examined countries, providing a complete understanding of climate change's intricate and multifaceted impacts. The grey forecasting model shows that Brazil, Russia, and South Africa are actively endeavoring to curb greenhouse gas emissions by transitioning toward renewable energy sources for energy production. This research contributes valuable insights for policymakers, emphasizing the importance of targeted interventions in green financing and sustainable practices to effectively address and mitigate climate change.
Citation: Energy & Environment
PubDate: 2024-05-22T12:28:30Z
DOI: 10.1177/0958305X241251414
- Will the National Big Data Comprehensive Pilot Zone improve total factor
productivity of enterprises'-
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Authors: Huiyu Gao, Siwei Xu, Mingyi Wang
Abstract: Energy & Environment, Ahead of Print.
In this article, a quasi natural experiment is constructed using 2012 to 2021 data from A-share listed companies in Shanghai and Shenzhen. It is determined that the establishment of the National Big Data Comprehensive Pilot Zone (NBDCPZ) will have an impact on total factor productivity (TFP) of enterprises utilizing the DID (Difference-in-Differences) method. Research finds that establishing NBDCPZ can improve the TFP of listed companies in the city where the park is located. The mechanism test results indicate that the establishment of NBDCPZ can encourage an increase of TFP of enterprises through the effects of competition, innovation, and digital transformation. According to further analysis of heterogeneity, this effect has a greater impact on for nonstate-owned enterprises, small- and medium-sized firms, and labor-intensive enterprises. Due to China's vast territory and significant differences in subjects, the tests conducted in this article can provide targeted development suggestions for different categories of subjects.
Citation: Energy & Environment
PubDate: 2024-05-17T05:09:32Z
DOI: 10.1177/0958305X241241027
- Assessment of a staged and inclined hopper-air injection in enhancing
low-NOx combustion and establishing a safe hopper environment for a
large-scale arch-fired furnace-
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Authors: Shuting Cheng, Min Kuang, Yiping Zhao
Abstract: Energy & Environment, Ahead of Print.
In response to the high NOx emissions and hopper overheating problem of a 600-MWe arch-fired furnace, a staged arch-firing framework (SAF) with an upper/lower staged hopper-air pattern was proposed to replace the original low-NOx technique. With implementing such a staged hopper-air configuration to enhance air staging and reduce the downward flame penetration, it was required to (i) affirm the SAF's effectiveness related to the mentioned problems and (ii) assess the upper hopper-air (UHA) angle effect for obtaining a reasonable UHA angle. Accordingly, the in-furnace flow, combustion, and NOx generation were respectively investigated under five UHA angles of θ = 0°, 20°, 30°, 35°, and 40°. Meanwhile, real-furnace tests and simulations in the original furnace were conducted to make comparisons with the SAF furnace. As θ increased, the flame penetration progressively deepened. The primary hopper-air function in favoring char combustion and overall combustion performance first strengthened and then weakened, while the production of CO and NO and combustible matter in fly ash first dropped and then ascended. The setup with θ = 35° demonstrated the most favorable low-NOx performance, exhibiting NOx levels of about 600 mg/m3 (O2 = 6%) and combustible matter of about 5% in fly ash. A comparison before and after the SAF application indicates that, despite reducing downward flame penetration, the SAF bolstered primary combustion and increased air utilization to facilitate char combustion in the hopper and the burnout zone. Consequently, a further 33.5% NOx reduction was achieved, along with slight burnout improvement and notably reduced hopper temperatures.
Citation: Energy & Environment
PubDate: 2024-05-16T05:32:32Z
DOI: 10.1177/0958305X241253768
- Examining the crucial societal incentive approaches and their impact
mechanisms to enhance the purchase intention of carbon-labeled products: A
conjoined application of PLS-SEM and NCA methodologies-
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Authors: Chuang Li, Xiaoman Wang, Liping Wang
Abstract: Energy & Environment, Ahead of Print.
Enhancing consumers’ purchase intention for carbon-labeled products is crucial for the sustainable development of the market economy. This study aims to address a key challenge by exploring the often-overlooked impact of external incentive mechanisms in the existing literature. Utilizing partial least squares structural equation modeling (PLS-SEM) and necessary condition analysis (NCA), the research dissects survey data from 730 Chinese consumers. It reveals the complex influence of four social incentives (i.e., monetary incentives, price incentives, spiritual incentives, and information incentives) on purchasing intentions from the perspective of perceived value. The results indicate that consumers’ awareness and trust in carbon labels are highly important but show modest performance. To be specific, among the four incentive measures, information incentives significantly promote purchasing intentions, followed by spiritual incentives. Interestingly, although the price incentives are a key precondition for increasing purchasing intentions, they do not show a direct and statistically significant effect. Besides, monetary incentives specifically facilitate the formation of purchasing intentions by enhancing consumers’ perception of the efficacy of carbon-labeled products, while information incentives promote intentions by influencing consumers’ desire for value expression. Benefiting from these four incentive measures, this study provides valuable insights to help develop effective strategies for promoting carbon labeling and green products, refine the design of environmentally friendly choice architectures for public policy, and enhance our understanding of consumer behavior in contemporary culture.
Citation: Energy & Environment
PubDate: 2024-05-15T02:14:51Z
DOI: 10.1177/0958305X241251405
- A master plot approach on rice husk decomposition through pyrolysis and
kinetic elucidation using iso-conversional models-
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Authors: Ishfaq Najar, Tanveer Rasool
Abstract: Energy & Environment, Ahead of Print.
The present study aimed at predicting the intricate mechanism followed by the pyrolysis of locally available rice husk, uses noval modified master plots through continuous slope-based differential techniques. An average apparent activation energy was found in the range of 187.29 (KAS model) and 199.85 kJ mol−1 (OFW model), respectively. The rice husk revealed higher volatile matter; 54.51 wt-%, HHV; 18.42 MJ kg−1and a critical pyrolysis zone around 250 to 550 °C with two sharp peaks through differential thermogravimetric analysis. Using Karl–Pearson correlation, experimental curve showed highest correlation coefficient of 0.94 and 0.75 with respect to A2 and A3 models (Avrami–Erofeev) for g(α). However, for Z(α), the process is limited by first-order multi-diffusion processes (D1) coupled with solid phase surface reaction (F3) showing correlation coefficient of 0.8. The experimental data worked out the generalized model of f(α) as f(α) = 12.74α3 – 24α2 + 12.6α - 0.92 with R2 value of 0.99, narrating the usage of master plots for better understanding of the process.
Citation: Energy & Environment
PubDate: 2024-05-13T07:55:46Z
DOI: 10.1177/0958305X241251402
- Nanocrystal cellulose from diverse biological sources: Application and
innovations-
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Authors: Vanshika Nimker, Cheng-Di Dong, Anil Kumar Patel, Ajeet Singh Chauhan, Chiu-Wen Chen, Reeta Rani Singhania
Abstract: Energy & Environment, Ahead of Print.
Cellulose is the most abundant renewable polymer on Earth which is extensively distributed in diverse ecosystems. It is present in higher plants, marine organisms, and also produced through microbial processes in organisms like algae, fungi, and bacteria. From an industrial perspective, the semicrystalline nature of cellulose present in different plant and microbial sources enables the fabrication of various types of nanocellulose, such as nanofibre and nanocrystals, through mechanical disintegration and chemical methods, respectively. Nanocellulose distinguishes itself as a sustainable, nonharmful, and biodegradable polymer. It will enable sustainable development for responsible consumption and production. Possessing a range of excellent properties, it can be seamlessly integrated into various materials. Research on nanocellulose is gaining momentum in response to current issues related to fossil fuels, including concerns about CO2 emissions, plastic pollution, and the need for renewable energy sources. This review addresses nanocrystals production method from cellulose found in agricultural, microbial sources, and its applications in fields such as materials science, electronics, medicine, and environmental science.
Citation: Energy & Environment
PubDate: 2024-05-13T07:54:48Z
DOI: 10.1177/0958305X241251394
- Viability and life cycle assessment of Fuller's Earth as a low-cost
adsorbent for zinc removal from aqueous solutions: Operating parameters,
removal mechanisms and environmental impacts-
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Authors: Safwat M. Safwat, Ahmed Eita, Minerva E. Matta
Abstract: Energy & Environment, Ahead of Print.
Zinc is a heavy metal that has several health risks and must be removed from wastewater effluents before discharge to water bodies or reuse. Fuller's earth is a sedimentary clay and characterized by its low cost and availability. In this research, Fuller's earth (FE) was investigated as an adsorbent for the Zinc (Zn) removal from aqueous solutions to understand its performance, the mechanism of removal, and the potential environmental impacts. Life cycle assessment (LCA) was conducted using ReCiPe 2016 midpoint method. Zn adsorption studies on FE were conducted at various pH (2.5–9), temperatures (10°C, 25°C, and 40°C), initial concentrations of Zn (25, - 150 mg/L) and adsorbent doses of (0.25–4 g/ 50 ml). The Zn removal efficiency reached 99% at pH = 9 at an initial Zn concentration = 100 mg/L and the adsorbent dose = 0.25 g/ 50 ml. The experimental data fit into the Temkin isotherm, while kinetics were best expressed by pseudo-second order. The controlling step of the adsorption process was the film diffusion according to Boyd model. Thermodynamic experiments showed that adsorption is endothermic with an accompanying rise in randomness in the system. The adsorption capacity was 3.56 mg/g. Images by SEM confirmed the occurrence of adsorption. The desorption was successful at different concentrations of HCl. LCA results showed that the maximum negative and positive environmental impacts were associated with mineral resource scarcity (7.5*10–5 kg Cu eq) and human non-carcinogenic toxicity (−0.821 kg 1,4-DCB), respectively.
Citation: Energy & Environment
PubDate: 2024-05-09T06:07:07Z
DOI: 10.1177/0958305X241253773
- Navigating the green growth spectrum: Exploring the synergy between
geopolitical risk, environmental policy stringency, and green production
practices-
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Authors: Gong Caijuan, Farah Durani, Afshan Hamid, Qasim Raza Syed, Kay Hooi Keoy, Ahsan Anwar
Abstract: Energy & Environment, Ahead of Print.
The deepening understanding of the environment has heightened our perception of the causes of environmental damage, promoting a shift from combating pollution to preventing it with a core emphasis on environmental protection. Academicians and governance authorities have shifted their focus from traditional production practices to green production practices (GPP). The current body of literature has explored the impact of GPP on environmental quality. Whereas, the implications of geopolitical risk (GPR) and environmental policy stringency (EPS) on GPP are still unexplored. Keeping in view these gaps in existing research, this research is the earliest endeavor to examine the impact of GPR and EPS on GPP for the group of seven (G-7) countries from 1990 to 2020. In this regard, we have applied panel quantile regression (PQR) which allows for a more flexible treatment of heterogeneity and is robust to deal with outliers and skewed distributions compared to traditional panel data techniques. The empirical findings reveal that GPR has a significant destructive impact on GPP whereas, the EPS upsurge the GPP in G-7 countries. Founded on the factual outcomes, we recommend policy recommendations to achieve the objectives of SDG 07 (affordable and clean energy), SDG 08 (exports for decent economic growth), SDG 09 (industry innovation and infrastructure), SDG 11 (sustainable cities and societies), SDG 12 (responsible consumption and production), SDG 13 (environmental policies for climate action), and SDG 16 (conflict, peace, and justice strong institutions).
Citation: Energy & Environment
PubDate: 2024-05-09T06:05:08Z
DOI: 10.1177/0958305X241248377
- Environmental impact of ISO 14001 certification in promoting sustainable
development: The moderating role of innovation and structural change in
BRICS, MINT, and G7 economies-
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Authors: Elvis K Ofori, Simplice A Asongu, Ernest B Ali, Bright A Gyamfi, Isaac Ahakwa
Abstract: Energy & Environment, Ahead of Print.
Since the industrial era, the selection of energy sources to facilitate economic advancement has been criticized because of the resulting ecological calamity. This has prompted the introduction of radical approaches such as ISO 14001, which tackles the drivers of pollution. Therefore, this study analyses the ISO 14001—environment nexus from three distinct points of view: BRICS, MINT, and G7 countries from 1999–2020. Also, our work fills an extant gap in assessing structural change and innovation’s role in augmenting the relationship. The Driscoll and Kraay estimator is employed as an analytical tool for cross-sectional dependence and slope homogeneity, while the fixed effects approach provides sufficient robustness checks on the findings. While some outcomes vary per bloc, others are relatively similar across the three blocs. That is: (1) ISO 14001 shows an abatement portfolio for only the G7 bloc, and the Full sample. (2) Structural change showed potential for abating carbon emissions in all blocs. (3) Technology led to an increase in pollution in all blocs except for the MINT economy. (4) ICT in the form of mobile phones also help reduce carbon emissions in all three blocs except for their composite. (5) Renewable energy helps reduce carbon emission in all blocs except for G7. ISO 14001 shows the potential to encourage green growth. As a result, policymakers should work to enhance ISO 14001 certification, which might serve as a management tool to promote sustainable development.
Citation: Energy & Environment
PubDate: 2024-05-08T05:29:24Z
DOI: 10.1177/0958305X241246193
- Energy consumption analysis of metropolitan logistics vehicles based on an
ensemble [math]-means long short-term memory model-
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Authors: Shaojun Gan, Qiuyi Zhang, Yanxia Wang
Abstract: Energy & Environment, Ahead of Print.
In recent years, creating a green and low-carbon sustainable development has received extensive attention, prompting considerable research into reducing pollution emissions in the transportation sector. This paper analyzes the energy consumption patterns of logistics vehicles on Beijing’s Sixth Ring Road. Firstly, driving segments are categorized based on variations in vehicle speed, followed by the application of the [math]-means algorithm for segment clustering, resulting in the identification of three distinct driving states and the construction of corresponding driving cycles. It is observed that the driving states have high correlations with different road grades. Subsequent analysis reveals that speed, torque, and engine speed are the primary factors influencing energy consumption of logistic vehicles. Furthermore, energy consumption prediction models using the long short-term memory algorithm for the identified driving states on various road types are built leveraging historical data, i.e. vehicle speed, motor torque, and engine speed. Finally, the analysis highlights a notable increase in 100 km energy consumption for logistics trucks on branch roads with complex road conditions. This study contributes to the effective management of energy consumption in medium and large trucks.
Citation: Energy & Environment
PubDate: 2024-05-06T06:04:07Z
DOI: 10.1177/0958305X241244488
- Enterprise digital transformation and ESG performance
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Authors: Hu Liu, Haipeng Duan, Miaoyu Li
Abstract: Energy & Environment, Ahead of Print.
This article empirically tests the impact of enterprise digital transformation on ESG performance and its channel mechanism. Based on the data of Chinese listed enterprises from 2009 to 2019, this article uses crawler technology to capture the key words of “digital transformation” in the annual reports of enterprises and the collection of policies supporting enterprises’ digitalization in China to describe the intensity of enterprises’ digital transformation. We find that enterprise digital transformation significantly improves ESG performance. The intermediary mechanism shows that the improvement of enterprises’ digital transformation can improve enterprises’ ESG performance from three aspects: first, it can strengthen the effect of external supervision by improving information symmetry; second, it can promote the improvement of enterprises’ innovation output and innovation efficiency; third, it can optimize enterprises’ internal governance and reduce agency costs. Industry heterogeneity analysis shows that in industries with high degree of digital peers and monopoly, the improvement effect of enterprise digital transformation on ESG performance is more obvious. Based on the above findings, we put forward corresponding policy recommendations.
Citation: Energy & Environment
PubDate: 2024-04-27T06:32:54Z
DOI: 10.1177/0958305X241246186
- Enhancement of light hydrocarbon production from polypropylene waste by
HZSM-11-catalyzed pyrolysis-
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Authors: Heesue Lee, Sam Yeol Lim, Shuting Fu, Yong Tae Kim, Jechan Lee
Abstract: Energy & Environment, Ahead of Print.
Herein, a mixture of real polypropylene (PP) waste was pyrolyzed with a HZSM-11 catalyst as a potential method to recover light hydrocarbons (C ≤ 12), the potential feedstock for value-added chemicals and fuels, from polyolefin plastic waste. Using the HZSM-11 in the PP waste mixture pyrolysis noticeably improved the yield of gas pyrolysate and oil in compensation for the yield of wax (i.e. hydrocarbons of C > 20) and solid residue particularly at a higher temperature. In addition, the selectivity of C3–C12 in the PP-waste mixture-derived pyrolysate was markedly increased by the HZSM-11. The highest yield of light hydrocarbons was ≈40 wt% (per mass of the feedstock) achieved at 700 °C with the HZSM-11 catalyst. Despite 7.9 wt% coke deposition on the HZSM-11 after its use in the pyrolysis of the PP waste mixture, the catalyst could be reusable for at least three times after regeneration. The experimental results demonstrate that HZSM-11 has the potential for being a promising catalyst to valorize polyolefin waste into value-added chemicals.
Citation: Energy & Environment
PubDate: 2024-04-27T05:58:52Z
DOI: 10.1177/0958305X241251423
- How do high-tech industry, energy efficiency (gas and oil), and social
globalization affect load capacity factor in Saudi Arabia' A Time-varying
quantile regression-
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Authors: Tomiwa Sunday Adebayo, Oktay Özkan, Zahoor Ahmed,
Victoria Olushola Olanrewaju
Abstract: Energy & Environment, Ahead of Print.
The significant allure of widely available fossil energy sources at a reasonable cost engenders formidable impediments to the transition toward renewable energy sources in Saudi Arabia, one of the world's foremost energy-producing nations. Mitigating the escalating levels of emissions and addressing the substantial ecological deficits requires a comprehensive investigation of the prospective contributions of energy efficiency and high-tech industry as integral components in the strategic response to environmental challenges. In light of this, our current study employs quarterly data spanning from 1990 to 2021 and introduces an innovative approach known as time-varying quantile regression (TVQR), which has not been previously utilized in the existing literature. We complement this with time-varying nonparametric quantile causality to assess the impacts of disaggregated energy efficiency, the high-tech industry, and social globalization on ecological quality (proxied by load capacity factor (LF)) across different quantiles and time intervals in Saudi Arabia. Our TVQR analysis reveals that both the high-tech industry and oil and gas efficiency have a positive impact on environmental quality, as evidenced by their ability to enhance the LF indicator across a significant portion of quantiles and time intervals. Conversely, economic growth and social globalization have a negative impact on environmental quality. Additionally, the selected explanatory variables exhibit significant predictive power over LF across various time frames and quantiles. Lastly, we have formulated a comprehensive policy framework aimed at enhancing ecological quality.
Citation: Energy & Environment
PubDate: 2024-04-26T07:23:51Z
DOI: 10.1177/0958305X241248376
- On the augmentation of heat transfer with hybrid nanofluid containing
microorganisms on flat plate under thermal radiation, using mixtures
models-
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Authors: Sohail Rehman, Hashim, Mohamed Boujelbene, Muhammad Waqas
Abstract: Energy & Environment, Ahead of Print.
In this study, an investigation of a hybrid nanofluid flow across a stretched flat sheet is presented. On a flat, flexible surface, a water-based hybrid nanoliquid is propagating in a horizontal orientation, while a strong magnetic field is located along an upright direction to the flow. The flow is incompressible, magnetically influenced and electrically conducting. The aluminum – and graphene (Go) are dispersed in the working fluid. The main interest of this exploration corresponds to microorganism diffusivity with Brownian motion and thermophoresis diffusion for two different nanoparticles, which are modeled in a different set of equations. The flow and heat-mass transfer equations are constructed using Buongiorno's nanofluid model and hybrid nanofluid volumetric friction. The Runge–Kutta–Fehlberg procedure combined with the shooting procedure is employed to find the numerical solutions of governing equations. The results reveal that increasing magnetic force drags down the frictional coefficient. The highest energy transfer 19% was recorded with 1% of Al2O3 and 5% of Go. Higher Peclet number detracts the motile density. The faster heat transmission was observed by thermal radiation. The volumetric percentage of nanomaterials was influenced by both types of Brownian characteristics. The novel parameter [math] influences the Sherwood and Nusselt numbers. When compared to Go, the temperature profile and the heat transmission rate for the second particle Al2O3 are higher. The Sherwood number declines with a rise in the thermophoresis parameter and rises with an improvement in the Lewis number and Brownian motion. Effect of [math] and [math] on mass transport rate are encouraging.
Citation: Energy & Environment
PubDate: 2024-04-26T07:22:59Z
DOI: 10.1177/0958305X241244487
- Managing municipal wastewater remediation employing alginate-immobilized
marine diatoms and silver nanoparticles-
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Authors: Pankaj Kumar Singh, Hirak Parikh, Abhishek Saxena, Bharti Mishra, Rashi Tyagi, Mukesh Kumar Awasthi, Aravind Madhavan, Raveendran Sindhu, Archana Tiwari
Abstract: Energy & Environment, Ahead of Print.
Wastewater remediation has become a major environmental concern in recent years, which has led scientists to look for innovative sustainable solutions. Diatoms have emerged as a potentially effective solution for wastewater treatment, primarily because of their extraordinary ability to absorb nutrients and engage in metabolic processes. The present study aims to accomplish two goals, firstly, green synthesis of silver nanoparticles (AgNPs) utilizing marine diatoms Chaetoceros sp. and Thalassiosira sp. Secondly, encapsulation of diatoms within a Ca-alginate hydrogel bead developed via the gelation method thus introducing a novel way to assess their effectiveness in nutrient bioremediation from wastewater. The study reveals that Thalassiosira sp. mediated AgNPs are very effective in removing phosphate and nitrate, with 74% and 65% removal rates respectively. Conversely, Chaetoceros sp. mediated AgNPs significantly decreased chemical oxygen demand (COD) by 73%. Furthermore, Thalassiosira sp. encapsulated in Ca-alginate hydrogel beads demonstrated significant removal rates: 64% for nitrate, 91% for phosphate, and 78% for COD, respectively. Furthermore, the biochemical profiles of both diatom-entrapped alginate beads were remarkable, and the approach shows potential for effective and sustainable wastewater treatment methods, which can further be investigated for long-term performance, scalability, and environmental impact on sustainability.
Citation: Energy & Environment
PubDate: 2024-04-24T01:11:08Z
DOI: 10.1177/0958305X241246185
- Designing a sustainable municipal solid waste management system over
multiple periods using extended exergy accounting method – a case study
of Shanghai-
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Authors: Jianrui Liu, Harn Wei Kua, Chi-Hwa Wang, Yen Wah Tong, Jingxin Zhang, Yinghong Peng
Abstract: Energy & Environment, Ahead of Print.
Waste-to-energy technologies can significantly alter urban metabolism and sustainability. This article proposes a multicriteria analysis framework based on the extended exergy accounting method to assess and plan a sustainable municipal solid waste management system from urban metabolism perspective. This framework includes three components. Firstly, an accounting model that integrates material, energy, social, economic, and environmental criteria was developed to identify the contribution of municipal solid waste management system to urban sustainability and to decide whether it is sustainable. Then, a multiperiod municipal solid waste management system planning model was developed to provide the optimal strategy for waste-to-energy facilities deployment and municipal solid waste allocation for different periods. Finally, multidimensional indicators were proposed for a sustainability comparative analysis in overdeployment, pressure on urban ecosystem and urban resource conversion efficiency. The proposed method was applied to the case study of household solid waste management in Shanghai and two scenarios were considered. Our comparison showed that the hybrid scenario (in which various waste recycling technologies were applied together) theoretically performs significantly more sustainable than the incineration scenario in terms of material investment, emissions, economic performance, resource depletion, and recovery. Sensitivity analysis of three parameters—the maximum deployment number of each unit waste-to-energy facility ([math]), the minimum utilization rate ([math]), and the capacity budget ([math])—were carried out. The proposed hybrid method was found to be sensitive to [math], but less sensitive to [math] and [math]. Lessons learnt can be used to plan similar waste-to-energy strategies in other countries.
Citation: Energy & Environment
PubDate: 2024-04-22T08:31:40Z
DOI: 10.1177/0958305X241241030
- Energy policy and climate change mitigation at national level in the
European Union: A case study of Lithuania-
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Authors: Indre Siksnelyte-Butkiene, Dalia Streimikiene, Tomas Balezentis, Tomas Karpavicius
Abstract: Energy & Environment, Ahead of Print.
The European Union (EU) is addressing global climate change issues in the formulation of energy policy for many years. Each EU member state plays a pivotal role in realising ambitious goals and implementing measures for energy policy and climate change mitigation. This study introduces a composite indicator, serving as a metric to assess the progress achieved in the implementation of national-level energy and climate change policy in Lithuania, scrutinises Lithuania's adopted energy policy frameworks and computes a short-term index forecast. The indicator created is applied for a case study of Lithuania in the period of 2010–2021 taking into account different importance of the indicators selected. Results indicate a gradual annual increase in achievements whit an overall growth of 72% over the last 11 years. However, both the attained results and the short-term index forecast suggest that expected growth rates are insufficient to meet ambitious regional and national climate change and energy targets. The proposed indicator is universal and adaptable for measuring energy policy achievements in various countries, allowing comparisons and rankings of countries, and analysis of best practices. This case study contributes to a broader understanding of energy policy and climate change mitigation at the national level within the EU.
Citation: Energy & Environment
PubDate: 2024-04-22T07:44:40Z
DOI: 10.1177/0958305X241248375
- The impact of broadband China and low-carbon pilot on China's urban carbon
emissions-
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Authors: Yue Zhu, Rui Zhao
Abstract: Energy & Environment, Ahead of Print.
In the context of global environmental governance, a reduction in carbon emissions (CE) is critical for sustainable development. This article delves into the correlation between China's dual pilot policy (DPP), comprising the broadband China city pilot (BCCP) and low-carbon city pilot (LCCP), and CE using panel data for 281 Chinese cities from 2003 to 2020 and a staggered difference-in-differences approach. Our results demonstrate that the DPP contributes to reducing CE. In this regard, we find that DPP exerts a more significant negative effect on CE when the LCCP precedes the BCCP, compared to the BCCP preceding the LCCP. Heterogeneity analysis shows that urban location and resource utilization patterns influence DPP's impact on CE reduction. Moreover, green technology innovation and industrial agglomeration account for the relationship between DPP and CE. The DPP additionally exhibits positive economic performance, benefiting urban sustainability. Taken together, these findings reveal how the DPP negatively affects CE, providing key evidence for regional green economy advancement.
Citation: Energy & Environment
PubDate: 2024-04-22T07:43:40Z
DOI: 10.1177/0958305X241248374
- Mitigating boundary pollution: Evidence from China's environmental
protection inspection centers-
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Authors: Lin Guo, Yulin Chai, Mengxue Wang, Jin Zhang, Sheng Luo
Abstract: Energy & Environment, Ahead of Print.
The efficacy of a vertical environmental protection system in managing transboundary pollution has not been extensively explored. Through a quasi-natural experiment facilitated by China's six environmental protection inspection centers (EPICs), this study assesses their impact on boundary pollution intensity and compares it with their effect on non-boundary pollution intensity. The findings demonstrate that the institution of EPICs significantly mitigates the intensity of boundary pollution, with a more pronounced reduction effect compared to non-boundary areas. Analysis of mechanisms reveals that both boundary and non-boundary enterprises achieve a reduction in pollution intensity through the enlargement of production capacities, enhancement of investments in pollution control, and a decrease in total pollution emissions. Given that boundary enterprises exhibit a greater magnitude in reducing total pollution emissions, the resultant effect on pollution intensity reduction is more significant among these entities. Furthermore, heterogeneity analysis indicates that the impact of EPICs on reducing pollution intensity is more substantial among samples with minimal political connections, elevated political incentives, and within heavily polluting industries, with boundary enterprises experiencing a more pronounced influence. This article unveils that strengthening coordination between central and local authorities, alongside fostering corporate actual investment in environmental protection, serves as pivotal mechanisms, offering innovative strategies for global environmental governance and advancing both the practice and theory of sustainable development.
Citation: Energy & Environment
PubDate: 2024-04-22T07:43:02Z
DOI: 10.1177/0958305X241248371
- Techno-economic optimization of a photovoltaic-wind energy-based hydrogen
production system: A case study of different cities of Saudi Arabia-
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Authors: Ibrahim B Mansir, Paul C Okonkwo, Naeim Farouk
Abstract: Energy & Environment, Ahead of Print.
The study employed Hybrid Optimization of Multiple Electric Renewables software and two-hybrid energy systems configurations to ascertain the most effective approach for generating hydrogen and electrical power in the designated three cities of Dammam, Jeddah and Tabuk in Saudi Arabia. To reduce emissions of greenhouse gases, improve energy security and encourage sustainable development, this study was motivated by the need to address the urgent need to switch to renewable energy sources like solar and wind based on Saudi Arabian's Vision 2030 initiative. To achieve these objectives, this research investigates the techno-economic feasibility of producing hydrogen from renewable energy sources to promote energy independence and economic growth in the region of Saudi Arabia. The novelty of the study provides a regional view of the use of renewable energy sources for hydrogen production by concentrating on several Saudi Arabian cities. It is essential for successful energy planning and policy formation to have insights suited to unique regional settings as demonstrated in this study. According to the findings of the study, the electrical and hydrogen requirements of the selected cities in Saudi Arabia can be fulfilled using renewable energy sources, as sufficient wind speed and sunlight are available to produce renewable hydrogen. The outcomes of the study demonstrated that the electricity and hydrogen generated in the city of Dammam were found to be significantly higher than in the other two cities resulting in high hydrogen production at the city of Dammam compared to the cities of Tabuk and Jeddah. The hybrid energy system in Dammam was identified as the most practical option for fulfilling Saudi Arabia's electricity and hydrogen production requirements based on the analysis and optimization, with low net present cost, levelized cost and levelized cost of hydrogen values of $235235, 0.316 $/kWh and 4.16 $/kg, respectively. The outcome of the study suggests that incorporating a renewable energy system in Dammam may diminish the country's reliance on fossil fuels and decarbonize its transportation sector. The results of this study could be employed by members of the Saudi hydrogen industry to promote increased hydrogen production and make Saudi Arabia's energy infrastructure more resilient and sustainable.
Citation: Energy & Environment
PubDate: 2024-04-18T07:08:19Z
DOI: 10.1177/0958305X241248373
- Crude oil price volatility—An unintended consequence of carbon pricing:
Evidence from transfer entropy and wavelet-partial wavelet coherence
analyses-
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Authors: Godwin Olasehinde-Williams
Abstract: Energy & Environment, Ahead of Print.
The urgent need to achieve the COP-27 targets has become evident due to the more frequent and severe climate-induced disasters and their socioeconomic consequences. The adverse effects of climate change highlight the need for an immediate shift away from fossil fuels without compromising economic development. Internalization of the negative externality in market transactions through the imposition of carbon pricing is widely touted as the most economically efficient means of solving this problem. This study, however, argues that crude oil price volatility could be an unintended consequence of carbon pricing. To this end, information flows between the European Union Emissions Trading Scheme and crude oil price volatility are examined through transfer entropy and wavelet-partial wavelet coherence analyses. Daily data from January 1, 2014 to July 1, 2023 are analyzed. The transfer entropy results show that information on carbon pricing reduces uncertainty about crude oil price volatility and vice versa, indicating that carbon pricing would be quite informative in building models to predict crude oil price volatility. The wavelet-partial coherence analyses reveal that the surge in carbon prices experienced in the late 2010s induced crude oil volatility, whereas the crude oil price volatility triggered by the COVID-19 pandemic forced carbon prices down. This study therefore identifies carbon price movements as a legitimate fear for policymakers, as it is a new source of volatility in conventional energy markets. Caution should thus be the watchword regarding optimal carbon pricing. Aiming to rapidly attain the full optimal carbon price is not recommended. Rapid changes in carbon prices will have strong redistributive implications across economies.
Citation: Energy & Environment
PubDate: 2024-04-17T07:53:11Z
DOI: 10.1177/0958305X241246195
- The impact of industry integration on industrial energy efficiency in
China-
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Authors: Haohao Wei, Sheng Ding
Abstract: Energy & Environment, Ahead of Print.
This study examined the impact of industrial integration on industrial energy efficiency in China. We measured industrial energy efficiency using stochastic frontier analysis with Mundlak auxiliary equations and distinguished between effective and ineffective energy use. We empirically examined the causal relationship between industrial integration and industrial energy efficiency using Chinese provincial industrial sector data for 2004 to 2021. The estimates showed that increasing the industry integration level by 1% reduced industrial inefficient energy use by 1.640%, which demonstrates that industry integration improved industrial energy efficiency significantly. The mechanism test showed that industrial integration improved industrial energy consumption through the scale effect. However, industrial integration can improve production efficiency through the technique effect, promote industrial upgrading through the composition effect, and reduce industrial energy intensity. Additionally, the causal relationship between industrial integration and industrial energy efficiency showed regional heterogeneity. The scale effect caused by industrial integration, rebound effect of technological progress, and transregional industrial transfer weakened the energy-saving effect of industrial integration.
Citation: Energy & Environment
PubDate: 2024-04-17T04:30:54Z
DOI: 10.1177/0958305X241246191
- Impact of population and primary energy consumption on air pollutants of
67 countries-
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Authors: Yongtong Li, Lifeng Wu
Abstract: Energy & Environment, Ahead of Print.
Air pollution is one of the most pressing environmental issues in the world today. To predict the air quality of 67 countries, considering the influence factors including population and primary energy consumption, an unequal-order exponential cumulative grey multivariate model is proposed to predict the PM2.5 concentrations. The prediction results show that South and Southeast Asia are the most polluted regions in Asia. Eastern and Central Europe are the most polluted regions in Europe. North and West Africa are the most polluted regions in Africa. In terms of air quality, Oceania is the best continent. Air quality in North America is likely to deteriorate in the coming years. The situation in South America is also not optimistic. The results of this study can provide the government with a basis to adjust the local environmental policy in order to improve air quality. The public can deal with air pollution and take appropriate precautions.
Citation: Energy & Environment
PubDate: 2024-04-13T08:25:13Z
DOI: 10.1177/0958305X241241020
- SDG achievement through international clean energy financing and access to
clean fuel and technology-
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Authors: Chen Xiang Jie, Oktay Özkan, Muhammad Saeed Meo, Muhammad Ramzan
Abstract: Energy & Environment, Ahead of Print.
Clean fuel and technology play a pivotal role in realizing sustainable development goals 9 and 12. Specifically, clean technology is essential for transitioning from fossil fuels to renewables, promoting sustainable development and fostering a cleaner environment. This study delves into the primary driving forces of ecological quality in India spanning from 2000Q1 to 2020Q4, encompassing international clean energy financing, access to clean fuel and technology, globalization and trade. To address the interdependence of explanatory variables and capture results across different quantiles, we employ the recently proposed multivariate quantile-on-quantile regression alongside multivariate quantile regression. Our study's outcomes reveal that international clean energy financing, access to clean fuel and technology, and globalization positively impact the load capacity factor, thereby enhancing ecological quality. Conversely, economic growth and trade exert a negative influence on the load capacity factor, resulting in a decline in ecological quality. Based on these findings, we propose policy recommendations for consideration.
Citation: Energy & Environment
PubDate: 2024-04-13T08:24:47Z
DOI: 10.1177/0958305X241244516
- How do digital financial inclusion, ICT diffusion, and education affect
energy security risk in top energy-consuming countries'-
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Authors: Xueyuan Sun, Sana Ullah, Falak Sher
Abstract: Energy & Environment, Ahead of Print.
Energy security has become a crucial issue as the world economy depends more and more on energy supplies. In the context of the top energy-consuming nations, this research examines the connection between digital financial inclusion, information and communication technology (ICT), education, and energy security risk from 2011 to 2022. To that end, the study applies the two-stage least squares and system generalized method of moments estimation techniques. According to our study's findings, digital financial inclusion and associated factors, including automatic teller machines, bank branches, debit cards, and electronic payments, mitigate energy security risks. The energy security risks are also reduced due to ICT, education, gross domestic product, and renewable energy production. However, carbon emissions increase energy security risks. These findings suggest that policymakers in top energy-consuming economies should focus on the digital inclusiveness of the financial sector, ICT diffusion, and human capital to increase the opportunities for investment in the energy sector to mitigate energy security risks.
Citation: Energy & Environment
PubDate: 2024-04-09T03:00:12Z
DOI: 10.1177/0958305X241244467
- Does emerging country's urbanization redefine the environmental Kuznets
hypothesis for carbon emissions' A novel perspective on national and
subnational differences-
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Authors: Qiang Wang, Siqi Zhang,
Rongrong Li
Abstract: Energy & Environment, Ahead of Print.
Emerging countries are experiencing rapid urbanization. Examining the link between economic growth and carbon emissions in developing nations as well as the effects of urbanization on this relationship at the national and subnational levels are the goals of this research. Thus, to investigate if China's economic development and carbon emissions align with the environmental Kuznets curve (EKC) hypothesis, this study adopts the FMOLS model and the fixed effects model. Furthermore, this study uses urbanization as a threshold variable and examines how the influence of economic development on carbon emissions would alter as a result of urbanization. The findings demonstrate an inverted U-shaped link between China's economic development and carbon emissions and the relationship is compatible with the EKC hypothesis. Although there is variability at the subnational level, most of the regions follow the inverted U-shaped connection. The carbon emissions inflection point in the western area is larger than the inflection points in the eastern and central regions. According to the threshold model, as urbanization rises, the increase in carbon emissions brought on by economic expansion declines. The eight economic areas of China differ in how the link between economic growth and carbon emissions change in the process of urbanization. But compared to the initial stage of urbanization, the last stage of urbanization in most countries lessens the impact of economic expansion on carbon emissions. To decrease carbon emissions, we must not only encourage the development of cleaner technologies and boost energy consumption efficiency, but also create carbon-reduction strategies that are specific to the growth characteristics of various areas.
Citation: Energy & Environment
PubDate: 2024-04-05T07:44:14Z
DOI: 10.1177/0958305X241230623
- Collaborative governance: The role of common institutional ownership in
corporate environmental information disclosure-
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Authors: Yishan Liu, Hu Liu, Wei He, Hanwen Deng, Umer Sahil Maqsood
Abstract: Energy & Environment, Ahead of Print.
Transparency regarding environmental practices is crucial not only for ethical corporate governance but also for empowering consumers and investors to make informed decisions. This study examines the impact of common institutional ownership (CInOwn) on the extent of environmental information disclosure (EnvInfoDis) by publicly traded Chinese companies from 2010 to 2020. Using robust empirical analysis, we demonstrate a positive relationship between CInOwn and EnvInfoDis, suggesting that firms with shared institutional investors are more likely to disclose environmental information, fostering public trust and aligning with government expectations. We further investigate the underlying mechanisms, revealing that CInOwn strengthens internal controls, promoting improved EnvInfoDis practices. Notably, the findings remain robust across various tests, including using different CInOwn thresholds. This study offers significant contributions to the ongoing debate on CInOwn implications, paving the way for policy and economic interventions to support Chinese firms in integrating EnvInfoDis practices, ultimately contributing to societal sustainability.
Citation: Energy & Environment
PubDate: 2024-04-04T06:19:06Z
DOI: 10.1177/0958305X241244533
- The impacts of economic growth, foreign direct investment inflows, and
energy usage on air pollution through globalization in China: A vector
error correction model approach-
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Authors: Eren Can Gurbuz
Abstract: Energy & Environment, Ahead of Print.
During its economic globalization, China ranked first in the world regarding air pollution since 2005. China's massive carbon dioxide emission that causes global warming, directly or indirectly, can be stimulated by its economic globalization process, which needs to be observed. Hence, this article aims to observe the direct and indirect impacts among foreign direct investment (FDI) inward, energy usage, carbon dioxide emissions, economic globalization, the share of the industry sector in GDP, and economic growth from the exact starting point of globalization, in other words opening the gate of China (1979) to the intensive trade war between China and the USA, that began to change international policies (2013) of China. The vector error correction model (VECM) and the Granger causality tests are performed to obtain the causality directions and impacts among the variables. The empirical results reveal emerging FDI-led economic growth and the existence of cultivating air pollution owing to energy use, FDI inward (polluting-FDI), and economic globalization in China. Regarding the output of Granger causality tests, direct unidirectional causality from energy use to air pollution and indirect unidirectional causality from energy use to economic growth through inward FDI are observed. This study proposes crucial policies to encourage cleaner production and energy-saving technologies that reduce air pollution of China and stimulate China's economic growth during globalization.
Citation: Energy & Environment
PubDate: 2024-04-04T06:18:07Z
DOI: 10.1177/0958305X241244490
- Forecasting the total building energy based on its architectural features
using a combination of CatBoost and meta-heuristic algorithms-
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Authors: Xiaoyu Qu, Ziheng Liu
Abstract: Energy & Environment, Ahead of Print.
This research examines the overall energy usage in residential buildings, focusing on architectural characteristics. The study utilizes a combination of the CatBoost method and meta-heuristic algorithms for analysis. The main approach of this research is based on the accuracy defects of individual models, which leads to the employment of CatBoost as a group model. Due to the lack of enough examinations while utilizing CatBoost method, this model and its hyperparameters are optimized using various meta-heuristic methods, including Phasor Particle Swarm Optimization (PPSO), Slime Mould Algorithm (SMA), Sparrow Search Algorithm (SSA), Ant Lion Optimizer (ALO), Artificial Bee Colony (ABC), and Grey Wolf Optimizer (GWO). Eventually, the performance of all models is compared by conduction of a case study, using diverse statistical examination indexes divided by the dwelling types i.e., (1) Standard efficiency upgraded dwellings (D1), (2) High efficiency upgraded dwellings (D2), and (3) Ultra high efficiency upgraded dwellings (D3). The results show that the hybrid proposed method has a proper ability to investigate the total site energy. The results show that for the D1 dwelling and according to the test dataset, the integrated CatBoost-SMA model indicates the most desired performance in predicting the total site energy. But for D2 and D3 dwellings and referring to the test dataset, the statistical evaluation indexes emphasize that the integrated CatBoost-PPSO method shows the most reliable performance.
Citation: Energy & Environment
PubDate: 2024-04-04T06:13:27Z
DOI: 10.1177/0958305X241241029
- Role of Environmental Policy Stringency on Sectoral CO2 Emissions in EU-5
Countries: Disaggregated Level Evidence by Novel Quantile-Based Approaches
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Authors: Mustafa Tevfik Kartal, Dervis Kirikkaleli, Ugur Korkut Pata
Abstract: Energy & Environment, Ahead of Print.
Consistent with the increasing awareness of environmental problems, countries have applied various measures to combat climate change by preventing environmental degradation of the environment. In this context, a set of measures in different areas and sectors have been taken. Although it is possible to consider each of them, instead, using a more comprehensive index, such as the Environmental Policy Stringency Index, can be appropriate in examining the effects of environmental measures in curbing emissions. Accordingly, this research examines the effect of Environmental Policy Stringency Index on sectoral carbon dioxide (CO2) emissions in the European Union Five countries (namely, Germany, Spain, France, United Kingdom, and Italy) by using data for the period 1990/Q2-2020/Q4, performing novel quantile-based approaches. The outcomes show that at higher quantiles, Environmental Policy Stringency Index provides (a) a decrease in building sector CO2 emissions in France, the United Kingdom, and Italy; (b) a decline in industrial combustion sector CO2 emissions in France and Italy; (c) a curb power sector CO2 emissions in Germany, Spain, and France; (d) a decrease in transport sector CO2 emission in Germany and France; (e) there are causalities from Environmental Policy Stringency Index to sectoral CO2 emissions across quantiles except for some ones; (f) the outcomes are verified as robust. The outcomes prove the differentiating effects of Environmental Policy Stringency Index across sectors under the empirical examinations, quantiles, and countries. Thus, the study discusses various policy endeavors, such as consideration of the varying structure of environmental measures, application of nonlinear approaches, and focusing on some sectors to go fast in curbing sectoral CO2 emissions.
Citation: Energy & Environment
PubDate: 2024-04-04T06:12:28Z
DOI: 10.1177/0958305X241241026
- Enhanced biodiesel production from Annona squamosa seed oil using Ni-doped
CaO nanocatalyst: Process optimization and reaction kinetics-
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Authors: Gurunathan Baskar, Sampath Nithica, Ravichandran Pravin, Viswanathan Renuka, Krishnamurthi Tamilarasan
Abstract: Energy & Environment, Ahead of Print.
The present research was mainly focused on the production of biodiesel from Annona squamosa oil using a synthesized Ni-doped CaO nanocatalyst. The optimization of the transesterification reaction parameters was studied through response surface methodology. The highest biodiesel yield of 99.1% was achieved with the optimized conditions of 7.86% catalyst concentration, 442 RPM, 15.19:1 molar ratio of methanol to oil, reaction temperature of 55.8°C and reaction time of 63.3 min. The results obtained from reaction kinetics study showed a good fit with a first-order kinetic model. The activation energy and R2 value were determined to be 53.7 kJ/mol and 0.90, respectively. The synthesized Ni-doped CaO nanocatalyst was characterized using Scanning Electron Microscope with Energy Dispersive X-ray Spectroscopy which confirms the presence of nickel, calcium and oxygen. Also, the average size of the nanocatalyst was found to be 48.79 nm. The Fourier Transform–Infrared Spectroscopy results showed the occurrence of functional groups such as C-H and C = O bonds in the synthesized Ni-doped CaO nanocatalyst. The presence of fatty acid methyl esters in the produced biodiesel was analyzed through Gas Chromatography-Mass Spectrometry analysis. The obtained results from the current study provides the possibility and insights for sustainable biodiesel production and a greener environment.
Citation: Energy & Environment
PubDate: 2024-03-28T08:22:35Z
DOI: 10.1177/0958305X241241291
- Does the strengthened monitoring policy for key polluting enterprises
induce China's green innovation'-
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Authors: Feng Wang, Huadan Han, Jingfei Zhao
Abstract: Energy & Environment, Ahead of Print.
To put enterprises reduce pollutant emissions and help them achieve sustainable development, China develops some policies related to environmental information disclosure (EID). A typical example is the strengthened monitoring policy for key polluting enterprises (SMPKPE). Green innovation is one of the major means to reduce pollutant emissions. However, the impact of the SMPKPE on green innovation has yet to be studied. Using the sample of China's listed enterprises from 2009 to 2021 and the multiperiod difference-in-differences method, this article examines whether the SMPKPE affects enterprises’ green innovation. The results are shown as followed: (1) the SMPKPE significantly improves enterprises’ green innovation; (2) this improvement can be achieved by strengthening the supervisory roles of banks and investors; (3) the strengths of the policy for enterprises’ green innovation are depended on the degrees of the financial constraint faced by enterprises. Specifically, taking the financial constraint as a threshold variable, it is found that the SMPKPE significantly improves the green innovation of enterprises with high degrees of financial constraint, while the policy reduces the green innovation of enterprises with low degrees of financial constraint; (4) the SMPKPE improves the green innovation of state-owned enterprises but fails to influence the green innovation of nonstate-owned enterprises. On a theoretical level, the conclusions of this article help to deepen the understanding of EID policies. On a practical level, the successful experiences of China provide valuable practical implications for China and other developing countries that currently face dual economic and environmental pressure.
Citation: Energy & Environment
PubDate: 2024-03-25T04:49:47Z
DOI: 10.1177/0958305X241239898
- Sustainable energy efficiency in China from the perspective of
environmental development: A comprehensive analysis of regional
disparities and policy implications-
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Authors: Ze Tian, Han-qi Zhang, Fang-rong Ren, Xing-wu Xu, Xiao-yan Liu
Abstract: Energy & Environment, Ahead of Print.
Global agreements have emerged in order to achieve carbon neutrality as the needs for renewable energy sources and carbon reduction continue to grow. To achieve the global carbon neutrality goals, China, one of the largest carbon emitters, must improve urban energy efficiency. Using a three-stage slacks-based measure (SBM) technique, this study analyses the total factor energy efficiency of 270 prefecture-level cities from 2011 through 2020. It tries to monitor and evaluate energy efficiency without taking into account variations in the outside environment. China's total factor energy efficiency shows an overall rising trend, despite significant regional variations. Improved energy efficiency levels can be attributed to technical advancements, while limitations in technology contribute to lower energy efficiency in certain areas. The study highlights the importance of considering external environmental factors in evaluating energy efficiency, able to avoid an overestimation of China's overall energy efficiency. It is noteworthy that the eastern region consistently outperforms the national average in terms of energy use efficiency. Even after taking environmental factors out of the equation, the central, west, and northeast regions still have worse energy efficiency and slower rates of growth. On this basis, from strengthening energy management and planning; facilitating cross-regional sharing of expertise; take targeted policy measures to adapt to the characteristics of the western and northeastern regions and put forward policy suggestions. These guidelines contribute to international energy cooperation and carbon reduction initiatives, while promoting sustainable energy development in China.
Citation: Energy & Environment
PubDate: 2024-03-25T04:48:49Z
DOI: 10.1177/0958305X241233736
- Impact of renewable energy expansion policies on the economy, income
distribution, and air pollution reduction-
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Authors: Inha Oh, Kihwan Kim
Abstract: Energy & Environment, Ahead of Print.
This study employs a recursive dynamic computable general equilibrium model to evaluate the consequences of renewable energy (RE) expansion policies in South Korea, focusing on their impact on the economy, income distribution, and air pollution reduction. It assumes a scenario in which RE generation constitutes 20% of the total electricity generation by 2030. Various scenarios are explored, including those with and without emission regulations and those considering increased productivity of RE technology. Key findings suggest that expanding RE policies stimulates labor demand and revitalizes upstream industries. However, its effectiveness depends on increasing the efficiency of RE technologies. Carbon regulation, such as emissions trading schemes, reduces greenhouse gases and air pollutants, with environmental benefits outweighing GDP reductions. It decreases income inequality, whereas policies to promote RE exacerbate it, requiring corrective measures. Nevertheless, productivity improvements in the RE sector enhance income distribution.
Citation: Energy & Environment
PubDate: 2024-03-21T06:45:14Z
DOI: 10.1177/0958305X241241031
- Sustainability, profitability, and resiliency of the fast fashion
industries during a pandemic-
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Authors: Meriem Meskini, Tanvir S. Mahmud, Sagar Ray, Amy Richter, Tahlima T. Sithi, Kelvin Tsun Wai Ng
Abstract: Energy & Environment, Ahead of Print.
The size of the global textile market was estimated at nearly one trillion USD in 2021 and the circularity of fashion items are of utmost practical and economic interests. Many postconsumer textile wastes are not recycled, and are sent to landfills for permanent disposal. This study examines the profitability of the selected fashion companies and compares the financial performance through weighted average net profit margin and business characteristics. The 10 companies are divided into 2 groups (conventional and sustainability) for analysis. The conventional fashion companies have a total sales revenue approximately 23 times higher than that of the sustainability fashion companies. The weighted average net profit ratio of the conventional fashion industry averaging +4.7 during the 5-year study period, much higher than the sustainability fashion group. Sustainability fashion industry is emerging and appears more sensitive to fluctuations in business expenses and COVID lockdowns. Net profit was negative for the sustainability group in 2022, and more aids such as government initiatives and incentive programs may be critical to the growth of the sustainability fashion sector. Both sustainability and conventional groups have positive relations between net profit and number of employees and net profit and market shares, respectively. The results suggest that fashion industry has opportunities to be more profitable by adopting socially responsible goals.
Citation: Energy & Environment
PubDate: 2024-03-21T06:44:19Z
DOI: 10.1177/0958305X241239896
- Does circularity mean energy transition and energy security' novel
evidence from European countries-
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Authors: Nguyen Thi Thu Ha, Nguyen Thi Thanh Huyen, Tran Thi Mai Hoa, Le Thanh Ha
Abstract: Energy & Environment, Ahead of Print.
Our paper focuses on disentangling the non-linear connection between circularity (CE) and energy security (ES). In order to evaluate the availability, acceptability, and developability of energy, we incorporated seven variables. The degree of circularity in European countries can be assessed by using six different measures. Using data from European Statistics, we examine variables from 2012 to 2019. We employ FGLS and PSCE estimation methods to quantify the effects of circularity on three aspects of energy security. Our findings are critical that circularity has non-linear impacts on the consumption of non-fossil fuels, energy, carbon dioxide emissions, and renewable energy. The result is consistent and robust when we apply different measures for circularity. The effect is maintained in the long run. Although the circular economy can have short-term negative effects, it can also have long-term benefits. Our research findings provide important implications for policymakers in terms of promoting the success of the use of circularity initiatives in securing the energy system.
Citation: Energy & Environment
PubDate: 2024-03-21T06:43:41Z
DOI: 10.1177/0958305X241230618
- Digital economy and urban green development: A quasi-natural experiment
based on national big data comprehensive pilot zone-
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Authors: Lianghu Wang, Jun Shao
Abstract: Energy & Environment, Ahead of Print.
As the engine of economic growth in the modern age, the digital economy plays an indispensable role in boosting the green development of cities. In this research, the difference in difference model and the spatial Durbin difference in difference (SDMDID) model are utilized to empirically examine the influence of digital economy on urban green development by employing the national big data comprehensive pilot zone as a quasi-natural experiment. In addition, its mechanism of action is further investigated from the standpoint of industrial structure upgrading, technical innovation, and human capital. The findings demonstrate that the degree of urban green development has consistently increased over the research sample, and there were clear disparities across areas; the implementation of the national big data comprehensive pilot zone has a significant role in promoting the green development of cities, and the policy effect on central cities and small and medium-sized cities is significantly higher than that of other types of cities; SDMDID model research found that the implementation of the national big data comprehensive pilot zone has a spatial effect; the mechanism test shows that the implementation of the national big data comprehensive pilot zone can promote the improvement of urban green development by promoting the upgrading of industrial structure and improving the level of technological innovation, while the mechanism of human capital has not yet emerged.
Citation: Energy & Environment
PubDate: 2024-03-15T09:53:33Z
DOI: 10.1177/0958305X241238348
- Unleashing China's coal conservation potentials by analyzing efficiency of
energy intensive industries: A Logarithm Mean Divisia Index (LMDI) model-
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Authors: Zulqarnain Mushtaq, Wei Wei, Jie Liu
Abstract: Energy & Environment, Ahead of Print.
Considering China's ambitions for carbon peaking as of 2030 to ensure environmental protection and energy security, the present study is intended to explore sustainable pathways to reduce coal consumption by enhancing energy efficiency. The current article estimates coal consumption efficiency and radial super-efficiency by applying DEA-CCR and radial super-efficiency models. In the second stage, the Logarithm Mean Divisia Index (LMDI) and DEA-Malmquist models were used to explore the components of coal consumption in China's six key energy-intensive industries from 2000 to 2020. Findings indicate that (1) there is a substantial coal consumption efficiency gap among these industries, and they are working well below the production frontier. (2) Findings of DEA-Malmquist indicate that technological changes positively contributed to total productivity changes, while technical efficiency negatively impacted coal consumption growth. (3) The results of the LMDI model reveal that industrial output growth and structural changes are the key factors accelerating coal consumption. In contrast, the coal intensity had deaccelerated the coal consumption in the energy intensive industries. The current study provides several policy proposals to enhance coal conservation and consumption efficiency to achieve the aspiring goals of sustainable development.
Citation: Energy & Environment
PubDate: 2024-03-13T10:36:27Z
DOI: 10.1177/0958305X241238328
- Research on the spatial and temporal impact of commercial banks’ spatial
agglomeration on PM2.5 pollution in China-
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Authors: Chenyao Qu
Abstract: Energy & Environment, Ahead of Print.
Commercial banks are the main body of the finance industry in China. It is of great significance to study the impact of commercial banks’ spatial agglomeration on PM2.5 for China to develop a green economy. This article selects data from 30 provinces in China, covering 2000 to 2021. This study innovatively utilizes commercial banking institutions’ longitude and latitude geographic coordinate information to build a new indicator to characterize the spatial agglomeration degree of commercial banks. Then, we use the geographically and temporally weighted regression model to investigate the spatio-temporal heterogeneous effect of commercial bank agglomeration on PM2.5. The theoretical mechanism concludes that financial agglomeration exacerbates PM2.5 pollution through the scale effect and can also reduce PM2.5 pollution through technique effect and composition effect. Financial agglomeration and PM2.5 have obvious temporal and spatial differences as well as spatial autocorrelation characteristics. The geographically and temporally weighted regression model's results show that from a national perspective, financial agglomeration can inhibit PM2.5 pollution, but the inhibitory effect is gradually diminishing, indicating that it is imminent for China to further deepen its green financial reform. From the provincial level, the influence of financial agglomeration on PM2.5 has obvious temporal and spatial differences. The inhibitory effects of Beijing, Tianjin, and Hebei are becoming stronger, and these areas have the best situations. The promoting effects of the three northeastern provinces and Shanxi and other central and western provinces are becoming larger and larger, and these areas have the worst situations. Shanghai and other eastern provinces and Guangxi and other western provinces have respectively brought inhibitory effects and promoting effects, but the effects are all weakening, and the situations are in the middle. The scientific value of this study lies in the following: First, this study combines the environmental Kuznets curve theory for mechanism analysis, providing a scientific theoretical basis for subsequent related research. Second, the financial agglomeration index constructed in this study provides a scientific reference for academic circles to more accurately investigate the relationship between financial agglomeration and environmental pollution. Third, this study reveals the temporal and spatial differences in the impact of financial agglomeration on PM2.5 pollution by using the geographically and temporally weighted regression model for the first time, pointing out the focus and direction for decoupling economic growth and PM2.5 pollution under the influence of financial agglomeration in China provinces. With China's efforts to achieve green sustainable development, this study provides new ideas and valuable insights into the driving factors of green economic growth in China.
Citation: Energy & Environment
PubDate: 2024-03-12T02:23:16Z
DOI: 10.1177/0958305X241238326
- Do regulatory affairs, political stability, and renewable energy demand
improve environmental quality' Perceptive from the South Asian Association
for Regional Cooperation region-
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Authors: Musrat Nazir, Shiraz Khan, Abdelmohsen A Nassani, Imran Naseem, Khalid Zaman, Mohamed Haffar
Abstract: Energy & Environment, Ahead of Print.
The contemporary era confronts formidable obstacles, including environmental deterioration and energy consumption, which jeopardize the rapid advancement of the worldwide financial system. The hazards mentioned above encompass depletion of natural resources, eutrophication, and climatic catastrophes. Within this framework, the discourse surrounding strategic planning centers on institutional positioning and economic prospects, with the incorporation of alternative energy resources serving as a significant metric of economic advancement, as underscored by the COP26 objectives. This research examines the correlation between the quality of institutions and environmental quality, as measured by carbon emissions. A fixed effect regression methodology was utilized to estimate the relationship, utilizing panel data from the South Asian Association for Regional Cooperation economies covering the period from 1990 to 2021. The results show that if there is a 1% increase in the government regulatory quality and renewable energy, carbon emissions decrease by −0.102% and −1.125%, respectively, underscores institutions’ significance in advancing sustainable growth policies within the South Asian Association for Regional Cooperation region. Moreover, if there is a 1% increase in political instability, inbound foreign direct investment, and economic growth, carbon emissions increase by 0.199%, 0.042%, and 0.129%, respectively, suggesting the presence of rent-seeking conduct and pollution haven hypothesis, adversely affecting the ecological system. The study offers significant perspectives for policymakers who aim to foster sustainable regional development.
Citation: Energy & Environment
PubDate: 2024-03-12T02:21:21Z
DOI: 10.1177/0958305X241236270
- Does producer services agglomeration improve industrial energy efficiency
in China'-
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Authors: Zhuqing Jiang, Jianjiang Liu, Weitao Chen, Fangyuan Dong
Abstract: Energy & Environment, Ahead of Print.
Promoting structural transformation and energy efficiency improvement by grouping productive services is a significant action for China's targets of realizing carbon neutrality and carbon peak. This study employs the spatial Durbin model to explore the influences of the agglomeration of producer services (producer services agglomeration) on industrial energy efficiency using panel data from China, specifically from its prefecture-level cities. It turned out that the specialization producer services agglomeration has effectively improved the industrial energy efficiency of the city and its adjacent areas. However, the producer services agglomeration in diverse fields only plays a positive stimulating role in the energy efficiency standards of the city. After changing the industrial energy efficiency index, and sample size and considering endogeneity, the test results agree with the benchmark estimation outcomes. Additional research indicates that technological spillovers and manufacturing production costs exert a significant mediation influence in the process of promoting energy efficiency by producer services agglomeration. Furthermore, the producer services agglomeration has a substantial heterogeneous effect on the industrial energy efficiency due to differences in industry types of producer services. The conclusion of this article is of considerable relevance for China to rely on the producer services agglomeration to support effective energy utilization, as well as green and sustainable economic development.
Citation: Energy & Environment
PubDate: 2024-03-10T12:43:12Z
DOI: 10.1177/0958305X241236264
- Energy price shocks and stock market volatility in an energy-importing
country-
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Authors: Jaemin Son, Doojin Ryu
Abstract: Energy & Environment, Ahead of Print.
We examine volatility dynamics in the Korean market using heterogeneous autoregressive models with exogenous covariates. The COVID-19 pandemic and the Russia–Ukraine War have caused substantial fluctuations in energy prices. We assess how these energy shocks affect stock market-implied volatility in Korea, a representative energy-importing country. During the pre-pandemic period, domestic and U.S. market factors affect Korea's volatility dynamics, whereas crude oil and natural gas futures prices have little explanatory power for these dynamics. In contrast, during the pandemic (war), oil (natural gas) futures prices become the key explanatory variable, and other market factors lose their explanatory power.
Citation: Energy & Environment
PubDate: 2024-03-08T06:17:19Z
DOI: 10.1177/0958305X241228514
- Post-combustion CO2 capturing by KOH solution: An experimental and
statistical optimization modeling study-
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Authors: Shokooh Ghavamipour, Leila Vafajoo, Gilava Pourhossein, Prakash Parthasarathy, Gordon McKay
Abstract: Energy & Environment, Ahead of Print.
A pilot-scale bubble column contactor has been utilized for carbon dioxide chemisorption from simulated flue gas in the temperature range 30°C to 50°C. The influence of the most important operating parameters has been investigated. A total of 25 experiments were designed using the response surface methodology (RSM) and were then carried out in the bubble contact column. The results revealed that the liquid volume in the column, the alkaline concentration, and the temperature had a positive effect, while the gas hold-up had a negative effect on the CO2 removal efficiency. A statistical model has been developed using the RSM D-optimal experimental design method. To achieve the highest CO2 chemisorption, several operating conditions have been optimized. The model predicted that the maximum percentage of carbon dioxide removal would be 86.64%, and under the same operating conditions the experimental removal efficiency was 87.12%.
Citation: Energy & Environment
PubDate: 2024-02-26T07:15:10Z
DOI: 10.1177/0958305X241230944
- The PM2.5 pollution rebound effect and industrial structure adjustment in
China: The impact of heterogeneous technological progress and resource
dependence-
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Authors: You Zheng, Jian Tang, Jianzhong Xiao
Abstract: Energy & Environment, Ahead of Print.
Adjusting industrial structure is the fundamental way of pollution control and environmental protection. Analyzing the PM2.5 pollution rebound effect of industrial structure adjustment based on heterogeneous technological progress and resource dependence is of great significance for in-depth and sustained pollution reduction. The results of combining the panel threshold regression model and the modified STIRPAT model on provincial panel data from 2008 to 2022 show that a 1% increase in structural upgrading results in a 0.4130% decrease in PM2.5 pollution; a 1% increase in structural rationalization results in a 0.0934% decrease in PM2.5 pollution. Resource dependence causes the PM2.5 pollution rebound effect of industrial structure adjustment; industrial structure upgrading with resource dependence has an insignificant increase effect on PM2.5 pollution, 1% increase of rationalization with resource dependence leads to a 2.8637% increase in PM2.5 pollution. As technology progresses, the increasing effect of industrial structure upgrading with resource dependence on pollution gradually weakens and finally transforms into a reduction effect; the reduction effect of industrial structure rationalization with resource dependence becomes an increasing effect causing the rebound to reappear and then turns to be a reduction effect again, show an invert “N.” Heterogeneous technological progress has the paradox impact mechanism on the pollution rebound; environmental protection technological progress can eliminate the pollution rebound, whereas energy-saving technological progress may cause a pollution rebound effect of industrial structure rationalization.
Citation: Energy & Environment
PubDate: 2024-02-26T05:33:43Z
DOI: 10.1177/0958305X241230620
- Government mechanism in waste electrical and electronic equipment
recycling among prospect theory and evolutionary game theory-
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Authors: Yujiao Sui, Qiang Sun, Shuhao Li
Abstract: Energy & Environment, Ahead of Print.
Improper disposal of waste electrical and electronic equipment (WEEE) poses challenges for resource loss and public environmental pollution. Government policies are required to regulate WEEE recycling. To better explore the governance mechanism in the WEEE recycling network, a tripartite evolutionary game model composed of the government, recyclers, and manufacturers under bounded rationality and uncertainty was established using evolutionary game theory and prospect theory by underscoring the WEEE processing fee (WPF) exemption to adjust the behaviour of the WEEE recycling network participants. The research found that nine equilibrium points and eight possible ESSs exist and that the evolutionary stability strategies of tripartite decisions mainly depend on the trade-off between costs and revenues. Through numerical simulations, it was observed that the psychological perception of risk for recyclers and manufacturers can affect the behaviour and strategies of WEEE recycling stakeholders in uncertain environments. As WEEE recycling stakeholders increase their pursuit of safety risks, both recyclers’ and manufacturers’ willingness to engage in green behaviour is increasing. In addition, under the WPF exemption, the government can achieve the goal of encourage recyclers and manufacturers to choose green behaviour at a relatively low cost. We suggest that the government should strive to establish a stable WEEE recycling environment, establish an appropriate WPF exemption mechanism, and fully consider the cross-impact of recyclers and manufacturers to promote the green behaviour and efficiency of WEEE recycling.
Citation: Energy & Environment
PubDate: 2024-02-26T05:32:31Z
DOI: 10.1177/0958305X241228511
- Analyzing regional disparities and spatial distribution dynamics of energy
consumption levels in China-
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Authors: Shubo Yang, Atif Jahanger, Shun Zhang, Muntasir Murshed
Abstract: Energy & Environment, Ahead of Print.
This article uses the Dagum Gini coefficient and kernel density estimation to analyze the regional differences and distribution dynamics of energy consumption and applies the coefficient of variation with a static panel model to test its σ-convergence and β-convergence characteristics. The study finds noticeable differences in energy consumption intensity among provinces and regions, and the main source of regional differences is inter-regional differences. In contrast, the contribution of intra-regional differences and hypervariable intensity is smaller and more similar. Specifically, the absolute difference in the eastern region experienced a first decline, then a rise, and finally a slight decline; the absolute difference in the central region had a more significant overall fluctuation and a declining trend in the later period, and the absolute difference in the western region tended to narrow. No polarization trend was observed during the sample period in the eastern, central, and western regions. Not only σ-convergence but also absolute β-convergence and conditional β-convergence exist in the whole country and the eastern, central, and western regions. Therefore, it provides a factual basis for deepening the perception of the spatial pattern and regional disparity of energy utilization levels in China and has policy implications for promoting inter-regional and intra-regional coordinated development.
Citation: Energy & Environment
PubDate: 2024-02-23T06:53:11Z
DOI: 10.1177/0958305X241232779
- Investigations on magnesium ion conducting gellan gum-based biopolymer
blend electrolytes for energy storage applications-
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Authors: Naveen C, Muthuvinayagam Muthiah
Abstract: Energy & Environment, Ahead of Print.
The economical and ecological polymer electrolytes are essential for energy storage devices. The key problem we are trying to resolve is how to improve ionic conductivity and safety in polymer electrolytes, which are essential for energy storage devices to operate effectively. We have prepared biopolymer blend electrolytes with different concentrations of magnesium chloride (MgCl2) by solution casting technique and the prepared electrolytes are investigated. Increase of amorphous nature of the polymer membranes is confirmed by X-ray diffraction analysis. Fourier transform infrared (FTIR) spectroscopy used to define complex formation between salt and polymers. Thermal properties of the electrolytes are confirmed by differential scanning calorimetry technique. The higher ionic conductivity of 1.04 × 10−5 S/cm has been achieved for 8 wt.% MgCl2 mixed gellan gum: polyvinyl alcohol (PVA) polymer blend at the room temperature. The present work highlights the preparation and characterization of gellan gum: PVA: MgCl2 polymer blend electrolytes with enhanced ionic conductivity and safety. The optimized polymer electrolyte is applied for energy storage devices.
Citation: Energy & Environment
PubDate: 2024-02-21T02:00:08Z
DOI: 10.1177/0958305X241230621
- From brown to green: Are emerging countries moving in right direction'
Testing the validity of LCC hypothesis-
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Authors: Zhenzhen Feng, Farah Durani, Ahsan Anwar, Paiman Ahmad, Qasim Raza Syed, Ali Abbas
Abstract: Energy & Environment, Ahead of Print.
Since the United Nations endorsed the sustainable development goals in 2015, emerging economies have faced several issues in meeting the objectives set by the sustainable development goals. Environmental degradation is one of the main issues faced by emerging countries. To overcome this issue and for attaining sustainable development goals, this study is the earliest attempt to examine the asymmetric influence of economic policy uncertainty, renewable energy consumption, and technological innovations on load capacity factor under the framework of the load capacity curve for E-7 countries during 1996–2019. The preliminary tests confirm the absence of data normality; hence, we use panel quantile regression. The findings of the study reveal the presence of a U-shaped load capacity curve hypothesis in E-7 countries including China, Indonesia, Russia, Brazil, Mexico, India, and Turkey. This finding depicts that at an earlier stage, gross domestic product has an adverse influence on environmental quality but after achieving its threshold level, a further increase in gross domestic product growth becomes helping to boost environmental quality. An increase in economic policy uncertainty leads to a decrease in load capacity factor while renewable energy consumption has a favorable impact on load capacity factor to enhance environmental quality. The negative impact of technological innovation is that prevailing technology patterns are not environmentally supportive. Relying on these empirical outcomes current study recommends significant policy measures to achieve the targets of sustainable development goals including SDG 07, SDG 08, SDG 09, and SDG 13 as renewable energy, economic growth, innovations, and climate action, respectively, in E-7 economies.
Citation: Energy & Environment
PubDate: 2024-02-20T11:37:37Z
DOI: 10.1177/0958305X241228519
- Evaluating the waste management greenhouse gas emissions effects of
domestic material biomass and raw material productivity consumption in
Denmark-
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Authors: Demet Beton Kalmaz, Tomiwa Sunday Adebayo
Abstract: Energy & Environment, Ahead of Print.
The planet is currently grappling with ecological upheaval as a consequence of the relentless surge in global warming. In response, the Danish government has undertaken a commitment to environmental decarbonization, setting a goal for the year 2030. This study contributes to these efforts by assessing the extent to which domestic material biomass and raw material productivity consumption impact ecological sustainability in Denmark. This assessment is based on data spanning from 1990 to 2020. Furthermore, the study takes into consideration the additional effects of economic advancement and domestic consumption of fossil fuels. These factors are addressed using a nonlinear auto-regressive distributed lag approach, which captures their respective positive and negative influences. The outcomes of the study affirm that positive (negative) shifts in domestic consumption of biomass and raw materials productivity contribute to increased (decreased) ecological sustainability in Denmark. Similarly, positive (negative) shifts in economic growth and domestic consumption of fossil fuels lead to decreased (increased) environmental sustainability. These conclusions are further substantiated by the causality results in the frequency domain. Drawing from these empirical findings, the study presents various strategies aimed at advancing diverse sustainable development goals, offering potentially beneficial avenues for Denmark's progress.
Citation: Energy & Environment
PubDate: 2024-02-20T11:06:50Z
DOI: 10.1177/0958305X241232403
- Renewable energy consumption and its impacts on agriculturalization under
climate neutrality targets-
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Authors: LingYan Wang, Yuezhou Wei, Biqing Li, Shiyong Zheng, Sana Ullah, Sidra Sohail
Abstract: Energy & Environment, Ahead of Print.
Improvements in energy efficiency, cost savings, and environmental advantages are possible effects of adopting and using renewable energy in agriculture. However, whether renewable energy consumption (REC) has any impact on agricultural productivity is a research question that this analysis tries to answer. Previous research neglected to consider the influence of REC on agriculture. The primary objective of the analysis is to analyze the role of REC in sustainable agriculture in Asia, America, Africa, and Europe with the help latest econometric technique of the CS-ARDL model. The findings show that REC and technological capital (TC) improve long-run agriculturalization in the full sample, Asia, Africa, America, and Europe. The results infer that a 1% increase in REC causes agriculturalization to boost by 1.512% in the full sample, 1.254% in Asia, 1.654% in Africa, 0.897% in America, and 1.325% in Europe. In addition, financial development favorably influences long-run agricultural productivity in the full sample, Africa, America, and Europe, and population growth only impacts agricultural productivity in the long run. In contrast, the long-run agricultural productivity is negatively impacted by environmental pollution globally and in Asia. On the other hand, in the short run, TC positively impacts agricultural productivity in all samples, while other short-run estimates are insignificant in most samples. These findings suggest that renewable energy utilization may lead to more effective and resilient agricultural systems by supplying clean and dependable electricity, lowering greenhouse gas emissions, and supporting sustainable resource management.
Citation: Energy & Environment
PubDate: 2024-02-16T06:46:02Z
DOI: 10.1177/0958305X241230622
- Carbon finance and low-carbon technological change: Evidence from China
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Authors: Wenqi Zhang, Zuogong Wang
Abstract: Energy & Environment, Ahead of Print.
Promoting carbon finance is considered a solution for supporting climate change mitigation. This article investigates the impact of carbon finance development on low-carbon technological change, exploiting textual analysis technology to measure the low-carbon innovation quality of 2953 CO2 emission allowance enterprises and evaluating the carbon finance index of eight pilots. Our panel regression results from 2014 to 2021 show that carbon finance encourages enterprises with CO2 emission allowances to upgrade their low-carbon innovation quality. The findings remain robust after using a variety of tests, including the instrumental variable (IV) approach, alternative innovation quality measure, replacement patent application with grant, etc. Our heterogeneity results indicate that the effect of carbon finance on low-carbon technological change is only statistically significant in non-state-owned enterprises, resulting from administrative government intervention in China's carbon market. Additionally, enterprises with stronger technology intensity show a statistically significant impact of carbon finance on the quality of low-carbon innovation. Furthermore, the mechanism shows that the effect of carbon finance on low-carbon technological change can be attributed to strengthened R&D intensity and mitigated financial constraints. This study sheds light on the positive significance of carbon finance and has a certain guiding role for the promotion path of China's national carbon market to support low-carbon transformation.
Citation: Energy & Environment
PubDate: 2024-02-16T06:08:59Z
DOI: 10.1177/0958305X241230617
- Optimal sizing and optimization of financial cost for EVs using SPOA-RBFNN
technique-
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Authors: P Kannan, M Sivakumar, R Ruban Raja
Abstract: Energy & Environment, Ahead of Print.
This study proposes a hybrid technique for optimal sizing and cost optimization of hybrid energy storage systems (HESS) integrated into electric vehicles (EVs). The proposed technique, SPOA-RBFNN, combines a student psychology-based optimization algorithm (SPOA) and a radial-basis function neural network (RBFNN). The study aims to minimize the overall cost of the HESS by evaluating two design variables: the super-capacitor (SC) and battery pack size. SPOA is employed to optimize the hybrid HESS design variables, ensuring efficient exploration of solution spaces. The RBFNN method is then used to predict the relationship between these design variables and the overall cost of the HESS in electric vehicles. The results show that the proposed technique is more effective than existing techniques, with an efficiency of 97.99039% compared to 82.137% for GA and 77.26589% for particle swarm optimization (PSO). This work offers a comprehensive and innovative approach to optimizing HESS sizing in EVs, connecting the gap between performance optimization and financial cost analysis.
Citation: Energy & Environment
PubDate: 2024-02-13T08:05:07Z
DOI: 10.1177/0958305X231225101
- Analysis of microplastics distributed in the environment: Case studies in
South Korea-
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Authors: Doeun Choi, Sungyup Jung, Jechan Lee, Eilhann E Kwon
Abstract: Energy & Environment, Ahead of Print.
The massive production and extensive distribution of microplastics, stemming from postconsumer plastics, have become problematic for the environment and human health. Various studies have reported the hazardous potential and toxicity of microplastics in living organisms, including animals and humans. As a precautionary measure to protect them from microplastic exposure, significant efforts have been made to analyze the distribution of microplastics in the environment. However, each research group individually examined the microplastic distribution in a specific location. Consequently, there is a lack of information regarding the presence of microplastics in wider district units, such as cities and across the nation. In this study, an overview of various case studies in South Korea is provided by discussing the presence and concentration of microplastics in South Korea and examining the reports and research articles on the analysis of microplastic distributions in different locations in South Korea. The current sampling and analysis methods used for microplastic distribution studies were also summarized, along with their technical challenges. The possible sources of primary and secondary microplastics were also discussed to determine the original plastic types of microplastics derived from industries and households.
Citation: Energy & Environment
PubDate: 2024-02-13T06:10:33Z
DOI: 10.1177/0958305X241230616
- Detecting regional unevenness and influencing factors of ecological
resilience in China-
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Authors: Han Hu, Kegao Yan, Houbao Fan, Tiangui Lv, Xinmin Zhang
Abstract: Energy & Environment, Ahead of Print.
Existing research on the state transition process of ecological resilience (ER) has neglected the ultimate goal of enhancing well-being and lacks theoretical framework support. To address these issues, we have innovatively developed a three-dimensional analysis framework of “resistant, absorptive, and restorative capacity” to measure ER. We also explored the regional unevenness and factors influencing ER at the provincial level in China through spatiotemporal evolution analysis and GeoDetector models. The results indicate that: the ecological resilience of Chinese provinces ranges from 0.415 to 0.596, with all provinces falling into the risk or good areas. Furthermore, a fluctuating and increasing trend is observed. The eastern coastal provinces, such as Beijing and Shandong, comprise predominantly good areas of ecological resilience that are distributed in a band manner, while the western provinces, notably Xinjiang, comprise primarily risk areas distributed in a clustered pattern. The per capita electricity consumption, per capita GDP, and patent applications in high-tech industries are identified as the primary factors influencing the spatiotemporal heterogeneity of ecological resilience, and the interaction effects of each factor have synergistic enhancement effects. Spatial ecological resilience displays certain degrees of “nonhomogeneous” agglomeration and spatial heterogeneity. However, no apparent spatial polarization phenomenon is observed. These findings provide valuable insights for cities aiming to address ecological risks and enhance urban resilience.
Citation: Energy & Environment
PubDate: 2024-02-09T06:41:19Z
DOI: 10.1177/0958305X241230619
- Multi-objective optimization for visual, thermal, and cooling energy
performance of building envelope design in the composite climate of Jaipur
(India)-
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Authors: Pushpendra Kumar Chaturvedi, Nand Kumar, Ravita Lamba
Abstract: Energy & Environment, Ahead of Print.
Climate-responsive passive envelope features such as windows, louvers, and shading have significant impact on a building's energy and economic performance. This paper presents a multi-objective optimization (MOO) approach to enhance energy, visual and thermal performances of a building by considering a wide range of numerous design possibilities. A residential apartment building located in a semi-arid composite climate (Köppen climate classification: Bsh) of Jaipur, India is considered for the analysis. The multi-objective optimization approach involves three steps: firstly, developing a base simulation model using Rhinoceros software, and then performing multi-objective optimization by Octopus plugin, and finally applying multi-criteria decision-making to select the optimal values of thermal conductivity, window-to-wall ratio of south and west façades, solar heat gain coefficient, visual light transmittance, window sill height, louvers depth, distance between slits, slits angle, external shade depth, and shade (slits) count. The optimized results reported a six-fold Useful Daylight Illuminance (UDI) improvement, 72% cooling energy demand reduction, and 34% thermal comfort enhancement from the worst-case scenario. The presented approach can aid designers in selecting optimal envelope features during building design, refurbishment, and renovation or for green field development.
Citation: Energy & Environment
PubDate: 2024-02-09T06:40:33Z
DOI: 10.1177/0958305X241228513
- Modeling the long-term relationship between transportation, economic
growth, poverty and environmental degradation in Tunisia-
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Authors: Manel Ouni, Khaled Ben Abdallah
Abstract: Energy & Environment, Ahead of Print.
The transportation sector plays a crucial role in driving economic development, reducing poverty, and contributing significantly to environmental impacts. While there have been numerous studies exploring the interconnections among transportation, economic development, and environmental degradation, there hasn’t been extensive research on how poverty affects transport-related CO2 emissions in the Tunisian context. This study aims to address this gap by analyzing the complex relationship between poverty, economic growth, energy consumption in road transport, urbanization, trade openness, road infrastructure, and environmental degradation in the Tunisia's transportation sector from 1980 to 2020. To estimate the long-term relationship between these variables, we use the ARDL bounds test approach. The result of VECM Granger causality test indicates a feedback between road infrastructure, road energy consumption, and transport emissions in both the short and long term. Moreover, our study identifies a bidirectional causality between poverty and transport emissions, emphasizing the importance of poverty alleviation strategies that consider environmental consequences. Our research also reveals a feedback between poverty and road transport infrastructure, as well as between transport emissions and economic growth. These results provide a comprehensive overview of the factors influencing CO2 emissions in the transport sector and their relationship with poverty. They offer a valuable insight to the field of energy and environmental studies, serving as guidance to policymakers, researchers, and practitioners engaged in promoting sustainable transportation practices in Tunisia.
Citation: Energy & Environment
PubDate: 2024-02-09T06:39:40Z
DOI: 10.1177/0958305X241228509
- Can innovation factor agglomeration enhance the government’s
environmental governance capacity'-
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Authors: Jie Zhang, Jiahui Yang
Abstract: Energy & Environment, Ahead of Print.
Innovative manpower agglomeration and innovative capital agglomeration provide vitality and guarantees for a country to achieve high-quality development, and the improvement of the government's environmental governance capacity can guarantee the smooth advancement of the country's ecological civilization construction work; thus, it is very important to study the impact of innovation factor agglomeration on the government's environmental governance capacity. Based on this, this article establishes a mediated moderating effect model and a spatial econometric model, adopts the panel data of 30 provinces in China from 2009 to 2020 as an example, and divides innovation factor agglomeration into innovation manpower agglomeration and innovation capital agglomeration to study the relationship between them and the government's environmental governance capacity. The results of the empirical analysis show that (1) both innovation manpower agglomeration and innovation capital agglomeration can significantly promote the improvement of the government's environmental governance capacity. (2) Technological innovation plays a mediating role in promoting the government's environmental governance capacity through innovation factor agglomeration. Voluntary environmental regulation can promote the government's environmental governance capacity, but it attenuates the role of innovation capital agglomeration in promoting the government's environmental governance capacity. (3) Local innovative manpower agglomeration has a significant spillover effect, and innovative manpower agglomeration in neighboring places inhibits the enhancement of local governments’ environmental governance capacity. (4) Innovation capital agglomeration in neighboring places will inhibit the local government's environmental governance capacity, but its effect is much smaller than the promotion effect of local innovation capital agglomeration on the government's environmental governance capacity.
Citation: Energy & Environment
PubDate: 2024-02-07T07:25:34Z
DOI: 10.1177/0958305X241230615
- Global impact of geopolitical oil price uncertainty and associated
commodity prices on clean energy stocks-
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Authors: Oktay Ozkan, Asima Saleem, Nasir Khan, Andrew Adewale Alola
Abstract: Energy & Environment, Ahead of Print.
Theoretically, geopolitical risk and policy uncertainties can directly affect energy markets. Since fluctuations in it lead to cost the of clean energy sources as they compete with traditional energy. Regarding this, our study aims to scrutinize the impact of geopolitical oil price uncertainty on clean energy stocks by controlling the influences of economic policy uncertainty, gold, natural gas, and coal prices. For that purpose, the study utilized monthly data from July 2007 to September 2020 and employed a machine learning method, namely kernel-based regularized least squares approach. Empirical analysis reveals that geopolitical oil price uncertainty and coal prices have a nonlinear positive effect on clean energy stock prices. It is also found that the impact of global economic policy uncertainty, gold, and natural gas prices on clean energy stock prices is nonlinear and negative. The implication signifies that clean energy stock prices are hampered by economic policy uncertainty, and gold, and natural gas prices, thus hindering the development of clean energy sources. Similarly, for the robustness of the study, the quantile regression approach and findings reveal similar outcomes to that of the KRLS model. Based on these findings, policy implications that potentially aid renewable energy investments are put forward. The study also guides investors, financial advisors, and portfolio managers for better decision-making in consideration of uncertainties and associated fluctuations in energy markets and commodity prices.
Citation: Energy & Environment
PubDate: 2024-02-02T05:17:28Z
DOI: 10.1177/0958305X231225303
- Enhancing the arch-fired low-NOx performance with a throat overfire air
for lowering NOx and hopper overheating-
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Authors: Shuting Cheng, Min Kuang, Jiaqi Chen, Shengchen Qi
Abstract: Energy & Environment, Ahead of Print.
Upon the background of China's dual-carbon energy and environment strategies and the requirements of green and sustainable development in the new era, how to gradually reduce coal consumption while at the same time enhance the efficient and clean use of coal and reduce pollutant emissions is attracting more and more attention. For a 600-MWe arch-fired furnace facing persistent challenges of high NOx output and an overheating risk in hopper as firing anthracite, a cascade-arched low-NOx and high-efficiency configuration (CLHC) was taken as an alternative to the existing multiple-injection and multiple-staging combustion technique (i.e., the MIMSCT, denoted as the reference furnace or technique in this study). In particular, along the furnace height the CLHC's overfire air (OFA) position in the burnout zone has an important influence on the low-NOx performance due to the shrunk furnace-arch space and a short upper furnace. Aiming at evaluating the OFA-location effect and confirming the CLHC in resolving the above problems, industrial-scale experiments and modeling were performed in the reference furnace and thereafter, the low-NOx characteristics with the CLHC was simulated considering three different OFA locations of the upper-furnace OFA, throat OFA, and arch OFA. In the OFA-location elevated order, the blending position of OFA and the main upward gas first lowered and then elevated, while the OFA penetration, overall combustion performance, and major low-NOx accomplishment indexes related to NOx yield and burnout loss initially improved but then deteriorated. As a result, the medium throat OFA presented the optimal low-NOx merit among the three setups, with the unburnt combustible of 5.3% in fly ash alongside NOx yield of 660 mg/m3 (O2 = 6%), respectively. By comparison to the reference technique, the CLHC gained a 30% NOx reduction ratio without affecting burnout and greatly relieved the hopper overheating issue via reducing sharply its temperatures by 400 K, thereby confirming the CLHC's viability. This study provided guidance on the safe furnace operations and reduction of pollutant emissions, benefiting the efficient and environmentally friendly usage of low-quality coals in industrial-scale furnaces.
Citation: Energy & Environment
PubDate: 2024-02-01T05:29:22Z
DOI: 10.1177/0958305X241228516
- Wind speed and wind power forecasting models
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Authors: M. Lydia, G. Edwin Prem Kumar, R. Akash
Abstract: Energy & Environment, Ahead of Print.
Sustainable energy resources have proved to be the best alternative in the wake of environmental degradation, depletion of ozone layer and ever-increasing demand for energy. Though wind energy is a promising resource, the non-linear nature and non-stationary characteristics of wind have remained a formidable challenge. Variability in wind power has posed numerous challenges in managing the power systems, especially in grid evacuation, penetration and integration. Forecasting wind is one of the powerful solutions to solve this problem. As the penetration of renewable energy sources is poised to increase in future, an accurate prediction can go a long way in helping the electricity grid to perform well. This article presents a review of existing research and recent trends in the forecasting of wind power and speed with a critical analysis of the contribution of every researcher. A review of forecasting technologies, data, time horizons, various forecasting approaches and error metrics has been presented in detail. The plethora of research issues that continue to challenge power system operators, wind farm owners and other stakeholders has been highlighted. The development of models for wind power or wind speed forecasting with excellent reliability and outstanding accuracy is the need of the hour.
Citation: Energy & Environment
PubDate: 2024-02-01T05:28:44Z
DOI: 10.1177/0958305X241228515
- Role of eco-innovation and financial globalization on ecological quality
in China: A wavelet analysis-
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Authors: Huiwen Zhang, Khatib Ahmad Khan, Babatunde Sunday Eweade, Tomiwa Sunday Adebayo
Abstract: Energy & Environment, Ahead of Print.
Today, pressing environmental concerns such as addressing climate change and countering global warming have taken center stage among policymakers and diverse organizations. The 2016 Paris Agreement underscores the urgency of decarbonization and the criticality of reducing CO2 emissions for fostering sustainable development. Given that environmental policies can yield diverse impacts across short-, medium-, and long-term periods, it becomes pivotal for policymakers to grasp the underlying causes of ecological footprint by scrutinizing their effects across these different timeframes and periods. Consequently, our investigation delved into the correlation and lead/lag interrelationship between ecological footprint, financial globalization, urbanization, eco-innovation, and economic growth in China spanning from 1985q1 to 2022q4. Leveraging on series of wavelet tools, our study aimed at formulating precise policies. The economic perspective derived from the wavelet analysis indicated a negative correlation between urbanization and eco-innovation with the ecological footprint, whereas economic growth and financial globalization exhibited a positive correlation with the ecological footprint. Consequently, we advocate for the implementation of appropriate policy measures to ensure that the Chinese economy charts a course toward sustainability.
Citation: Energy & Environment
PubDate: 2024-01-31T05:29:43Z
DOI: 10.1177/0958305X241228518
- Time, frequency, and quantile-based role of R&D investments in energy on
sectoral degradation in the United States-
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Authors: Mustafa Tevfik Kartal
Abstract: Energy & Environment, Ahead of Print.
An important part of environmental pollution has resulted in energy consumption, the level of environmental pollution varies across sectors, and energy R&D investments have been strategic tools in this respect. Considering this fact, the research studies the role of R&D investments in energy on CO2 emissions by focusing on the USA case as pioneering R&D investing country in energy technologies. In this context, the study makes a disaggregated level analysis and performs various nonlinear methods to data between 1975/Q1 and 2020/Q4. The nonlinear empirical results demonstrate that (i) R&D investments have a strong dependency on sectoral CO2 emissions across times and frequencies; (ii) at higher quantiles, R&D investments in nuclear energy have a generally declining impact on power and building sector CO2 emissions, whereas R&D investments in renewable energy stimulate sectoral CO2 emissions; (iii) R&D investments are causally effective on sectoral CO2 emissions across various quantiles; (iv) R&D investments in total curb generally sectoral CO2 emissions. The research demonstrates that R&D investments in energy on sectoral CO2 emissions have a varying heterogonous impact based on time, frequency, quantile, and R&D types. Thus, USA policymakers should include time, frequency, quantile, R&D types, and sector-based differentiating impacts to curb sectoral CO2 emissions in re-formulating energy environmental policy framework as a critical issue for ensuring sustainable development. Accordingly, various policies (e.g. relying on nuclear R&D investments, re-balance distribution of the R&D investments among the alternatives, consideration of sectoral differences) are discussed.
Citation: Energy & Environment
PubDate: 2024-01-31T05:29:22Z
DOI: 10.1177/0958305X241228508
- Profit analytics in disruption risk for electrical energy supply network
considering cost-oriented big data-
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Authors: Hamed Fazlollahtabar, Roya Ahmadiahangar
Abstract: Energy & Environment, Ahead of Print.
Electrical energy consumption varies in different markets. Several different types of generators are used to supply electricity for consumers. The balance between supply and demand leads to prevent lack of energy. Nonetheless, with the growing number of markets and consumers, larger amount of data is generated making the analysis harder. Thus, decision support architecture for analytical purposes is significant. Large amount of data, recently called Big Data, is one of the significant sources of gaining and analyzing information as a decision support for electrical energy markets (EEMs). Market policymakers are emphasizing the impact of analytical approaches for business strategy setting in power supply and consumption to mitigate the risk of power failure and disruptions. In this article, the EEM influenced by big data of supply and demand and disruption is investigated to achieve power business continuity. A comprehensive architecture for EEM process is proposed. Supply and demand cost analysis is performed based on disruptions for an EEM. A pricing-based profit scenario optimization in a dynamic supply network having multiple power states is worked out. Numerical experiment is performed to show the effectiveness of the proposed paradigm based on data management.
Citation: Energy & Environment
PubDate: 2024-01-18T06:53:21Z
DOI: 10.1177/0958305X231225599
- Confirming the efficacy of a new arch-firing solution in safely
strengthening low-NOx combustion within a large-scale furnace: Impact of
the flue gas recirculation position in burners-
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Authors: Sheng Liu, Min Kuang, Shuting Cheng, Xiaoyang Wu, Guozhu Ding
Abstract: Energy & Environment, Ahead of Print.
To address the persistently high NOx production and the heightened overheating risk in the hopper of a 600-MWe, deep-air-staging, arch-fired boiler furnace (i.e., the reference furnace), a solution was devised with a staged arch-firing framework (SAF) and flue gas recirculation (FGR). This required establishing an appropriate position for the burner-FGR and confirming the viability of the SAF for the furnace. Comprehensive industrial-scale physical tests and computer simulations were conducted using the reference furnace. Subsequently, the furnace with SAF was examined with FGR introduced sequentially, first using a fuel-rich mixture, then using an inner secondary-air flow, and finally using an outer secondary-air flow (i.e., denoted in turn as FGR-FR, FGR-IS, and FGR-OS). Given this FGR-location order, the FGR’s functions about combustion degradation and NO inhibition weakened, resulting in increased NOx emissions and continuously decreasing burnout loss. Considering the satisfactory burnout levels across all three configurations, the FGR-FR configuration demonstrated the best reduction in NOx emissions, achieving NOx output of about 600 mg/m3 (O2 = 6%) and an unburnt combustible rate in fly ash of about 5%. Comparing the conditions before and after implementing the SAF indicated that the SAF enhanced combustion intensity and improved the utilisation of overfire air and hopper air, resulting in a further 33.3% reduction in NOx emissions without compromising burnout efficiency. Additionally, the SAF effectively mitigated the overheating risk in the hopper by significantly lowering local temperature levels by 400 K.
Citation: Energy & Environment
PubDate: 2024-01-18T06:02:58Z
DOI: 10.1177/0958305X231225301
- Stimulating energy efficiency by low-carbon transformation: Evidence from
low-carbon city pilot in China-
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Authors: Qingxi Wang, Yueji Xin, An hu, Yanan Du
Abstract: Energy & Environment, Ahead of Print.
The improvement of energy efficiency has always attracted significant attention from the government and academia since it is a critical step toward energy efficiency, emission reduction, and low-carbon growth. The low-carbon city pilot is launched in the process of gradual marketization of environmental regulation, and its impact on energy efficiency is of great significance. Using panel data for 280 cities in China from 2007 to 2019, this study explores the local and spatial spillover effects of low-carbon city pilot on energy efficiency using difference-in-difference and spatial difference-in-difference models. The results reflect that low-carbon city pilot improves energy efficiency and that technological innovation, industrial structure upgrading and government orientation can successfully enhance its effects. Moreover, we find that the pilot policy has a negative spillover effect in resource-based and central-western cities, while the spillover effect is not significant in the non-resource-based and eastern regions. This study sheds light on the implementation of low-carbon city pilot to promote urban low-carbon development.
Citation: Energy & Environment
PubDate: 2024-01-16T02:04:40Z
DOI: 10.1177/0958305X231223765
- Effective regeneration of deactivated Raney-Ni catalyst during multiphase
hydrogenation of vegetable oil-
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Authors: Muhammad Ali, Iqrash Shafiq, Murid Hussain, Parveen Akhter, Farrukh Jamil, Young-Kwon Park
Abstract: Energy & Environment, Ahead of Print.
Raney nickel is extensively used as a catalyst in the hydrogenation of vegetable oils. However, it deactivates over time and is known as a spent nickel catalyst, which is potentially hazardous to the environment. By contrasting different approaches, a straightforward and original strategy for regenerating spent nickel catalyst was developed by comparing various methods. The fresh, spent nickel catalyst, and treated catalyst samples were characterized using X-ray diffraction, Fourier transform infrared, atomic absorption spectroscopy, scanning electron microscopy, energy dispersive X-ray spectroscopy, and color scheme analyses. The results showed that the catalyst deactivation was primarily due to oil deposition over the active sites, agglomeration of catalyst, and entrainment of nickel during hydrogenation. Using n-hexane as the solvent with a spent nickel catalyst-to-solvent ratio of 1:12 (g/mL), a 65 °C temperature, and a two-hour extraction time, ultrasonication-assisted solvent extraction of spent nickel catalyst proved to be the most effective and efficient process for regeneration.
Citation: Energy & Environment
PubDate: 2024-01-10T07:42:08Z
DOI: 10.1177/0958305X231225109
- The N-shaped environmental Kuznets curve for biodiversity loss: A count
data analysis-
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Authors: Thian-Hee Yiew, Lin-Sea Lau, Ai-Lian Tan, Yan-Ling Tan
Abstract: Energy & Environment, Ahead of Print.
While South and Southeast Asian countries have experienced resilient economic growth over the years, the region has also been a global hotspot for biodiversity loss. Thus, this study examines the income-biodiversity loss nexus within the framework of the N-shaped environmental Kuznets curve (EKC) for South and Southeast Asian countries by employing annual sample data over the period of 2013–2019. The N-shaped nexus between income and biodiversity loss is analyzed using the negative binomial regressions to deal with count outcomes and to overcome the over-dispersion issues. The estimation results consistently depict that the N-shaped EKC hypothesis holds true for South and Southeast Asia in both the aggregated model and disaggregated models (eight taxonomic groups). It is discovered that the threatened species rises when income reaches between $11,607 and $16,329 and declines when income goes to $38,880 and $52,303 over the sample period. Agricultural land and threatened species are positively related. Further, the control of corruption can lessen the decline in biodiversity. Our study reveals some important policies to achieve sustainable development without affecting the health of ecosystems in South and Southeast Asia.
Citation: Energy & Environment
PubDate: 2024-01-10T06:57:47Z
DOI: 10.1177/0958305X231225295
- Sonochemically synthesized novel CNTs-PANI/CoNi(PO4)2 nanocomposites with
enhanced electrochemical energy storage performance for asymmetric
supercapacitor applications-
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Authors: Muhammad Ramzan Abdul Karim, Waseem Shehzad, Muhammad Atif,
Ehsan ul Haq, Zaheer Abbas
Abstract: Energy & Environment, Ahead of Print.
Carbon nanotubes (CNTs) were polymerized with polyaniline (PANI) via an in-situ polymerization approach. These functionalized CNTs (PANI-CNTs) were added in various concentrations to the sono-chemically synthesized Co-Ni binary transition metals phosphate (CoNi(PO4)2) to ultimately have their nanocomposites. Electron microscopy (SEM & HRTEM) was employed to reveal the morphology and microscopic features. The structural evaluation of metal phosphate and PANI/CNTs was done by X-ray diffractometer analysis, whereas chemical grafting of cobalt nickel phosphate (CoNi(PO4)2) was done by Fourier transformed infrared spectroscopy and Raman spectroscopy. The hierarchical structured CoNi(PO4)2 with 40 mg PANI/CNTs mass (CNP40) presented enhanced specific capacity of 1268 Cg−1 (2136 F g−1 at 1.5 F g−1) with excellent diffusive behavior (b = 0.5). A resulted hybrid supercapacitor device consisting of CNP40 as +ve electrode and activated carbon AC) as −ve electrode, presented excellent energy density of ∼87 Whkg−1 with good power density of 680 W kg−1 maintained to 32.9 W kg−1 (@ 20,400 W kg−1) with 37% rate performance, and excellent cyclic performance (∼100%) after 5000 charge-discharge cycles. Furthermore, capacitive-diffusive analysis revealed that the device showed 55% diffusive and 45% capacitive behaviour. This improved electrochemical performance might be attributed mainly to the uniform and hierarchical chemical grafted morphology of the novel combination of binary phosphates and PANI functionalized CNTs in the nanocomposite obtained via a rather different sonochemical approach.
Citation: Energy & Environment
PubDate: 2024-01-03T05:43:28Z
DOI: 10.1177/0958305X231221260
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