Pub Date : 2022-07-25DOI: 10.1177/0958305X221115095
H. Jani, S. S. Kachhwaha, G. Nagababu, A. Das, Mahdi Ehyaei
Aiming to net-zero emissions, hybrid power generation through renewable means has gained substantial attention across the globe. Considering the stochastic nature of renewable energy resources, a comprehensive performance assessment is a must prior to project development. Present work is a novel multidimensional 6E analysis (energy, exergy, economic, environmental, advanced exergy, and exergoeconomic) to evaluate the performance of hybrid wind-solar energy systems. The analysis is performed using long-tern (41 years) high-resolution ERA5 reanalysis resource data and the mathematical modeling by means of MATLAB R2018a computation software. The long-term data facilitates reliable and precise predictions of resource availability, power generation, and system performance during the lifespan of the project. The performance of HWSES in terms of capacity factor and exergy efficiency is computed to be 9.6–35.5% and 4.7–10.4% respectively, whereas the extended exergy efficiency lies in the range of 3.39–5.79%. Hybridizing wind power projects with solar power enhances the overall system capacity factor, exergy efficiency, and extended exergy efficiency by 3.46%, 5.12%, and 2.87% respectively. Hence, the hybridization leads to superior year-round system performance with smaller power fluctuations than the standalone systems. Further, wind, solar and hybrid systems would annually reduce the Specific Emission Reduction of 1128 tone/kW, 1685 tone/kW, and 1407tone/kW respectively. The present research will be helpful to the policy-makers and the project developers in the project feasibility study of hybrid energy systems.
{"title":"Energy, exergy, economic, environmental, advanced exergy and exergoeconomic (extended exergy) analysis of hybrid wind-solar power plant","authors":"H. Jani, S. S. Kachhwaha, G. Nagababu, A. Das, Mahdi Ehyaei","doi":"10.1177/0958305X221115095","DOIUrl":"https://doi.org/10.1177/0958305X221115095","url":null,"abstract":"Aiming to net-zero emissions, hybrid power generation through renewable means has gained substantial attention across the globe. Considering the stochastic nature of renewable energy resources, a comprehensive performance assessment is a must prior to project development. Present work is a novel multidimensional 6E analysis (energy, exergy, economic, environmental, advanced exergy, and exergoeconomic) to evaluate the performance of hybrid wind-solar energy systems. The analysis is performed using long-tern (41 years) high-resolution ERA5 reanalysis resource data and the mathematical modeling by means of MATLAB R2018a computation software. The long-term data facilitates reliable and precise predictions of resource availability, power generation, and system performance during the lifespan of the project. The performance of HWSES in terms of capacity factor and exergy efficiency is computed to be 9.6–35.5% and 4.7–10.4% respectively, whereas the extended exergy efficiency lies in the range of 3.39–5.79%. Hybridizing wind power projects with solar power enhances the overall system capacity factor, exergy efficiency, and extended exergy efficiency by 3.46%, 5.12%, and 2.87% respectively. Hence, the hybridization leads to superior year-round system performance with smaller power fluctuations than the standalone systems. Further, wind, solar and hybrid systems would annually reduce the Specific Emission Reduction of 1128 tone/kW, 1685 tone/kW, and 1407tone/kW respectively. The present research will be helpful to the policy-makers and the project developers in the project feasibility study of hybrid energy systems.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"6 1","pages":"2668 - 2704"},"PeriodicalIF":4.2,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89115454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1177/0958305X221115090
P. Sujin, P. M. Díaz, Ajith J. Kings, L. Miriam
Rapid industrialization and population expansion increased the demand for petroleum-based fuels, resulting in price hike and creates serious environmental issues. Biodiesel, a clean, renewable and long-lasting alternative and for large scale production needs readily available and sustainable feedstocks. Edible and non-edible plants are abundant in Southern India, particularly Ceiba penandra (CP), Mahua longifolia (ML), and Azadirachta indica (AI), which were employed in this study in combination. An efficient heterogeneous nano-catalyst CaO-TiO2 was synthesized and employed in the transesterification process due to its recoverability and insensitivity to FFA. The catalyst was subjected to characterize by FTIR, XRD and SEM with EDX mapping. Response surface approach is engaged in this study for cost-effective production. More than 95% biodiesel yield was achieved for Ceiba penandra oil (CPO), Mahua longifolia oil (MLO), Azadirachta indica oil (AIO) and their mixture (MIO) by optimization of significant reaction parameters and the best combination was obtained as methanol oil ratio (0.32, 0.46, 0.34 and 0.42 v/v), catalyst usage (5, 6.5, 6 and 4 wt.%), mixing intensity (750, 840, 700 and 540 rpm) and duration (80, 105, 85 and 85 min) respectively with constant temperature of 70°C. Fatty acid profile was characterized by chromatograph also established the properties by ASTM and EN guidelines to confirm its compatibility in the IC engine.
{"title":"Sustainable biodiesel production from Ceiba penandra, Mahua longifolia, and Azadirachta indica using CaO-TiO2 nano catalyst","authors":"P. Sujin, P. M. Díaz, Ajith J. Kings, L. Miriam","doi":"10.1177/0958305X221115090","DOIUrl":"https://doi.org/10.1177/0958305X221115090","url":null,"abstract":"Rapid industrialization and population expansion increased the demand for petroleum-based fuels, resulting in price hike and creates serious environmental issues. Biodiesel, a clean, renewable and long-lasting alternative and for large scale production needs readily available and sustainable feedstocks. Edible and non-edible plants are abundant in Southern India, particularly Ceiba penandra (CP), Mahua longifolia (ML), and Azadirachta indica (AI), which were employed in this study in combination. An efficient heterogeneous nano-catalyst CaO-TiO2 was synthesized and employed in the transesterification process due to its recoverability and insensitivity to FFA. The catalyst was subjected to characterize by FTIR, XRD and SEM with EDX mapping. Response surface approach is engaged in this study for cost-effective production. More than 95% biodiesel yield was achieved for Ceiba penandra oil (CPO), Mahua longifolia oil (MLO), Azadirachta indica oil (AIO) and their mixture (MIO) by optimization of significant reaction parameters and the best combination was obtained as methanol oil ratio (0.32, 0.46, 0.34 and 0.42 v/v), catalyst usage (5, 6.5, 6 and 4 wt.%), mixing intensity (750, 840, 700 and 540 rpm) and duration (80, 105, 85 and 85 min) respectively with constant temperature of 70°C. Fatty acid profile was characterized by chromatograph also established the properties by ASTM and EN guidelines to confirm its compatibility in the IC engine.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"1 1","pages":"640 - 662"},"PeriodicalIF":4.2,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90293898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-19DOI: 10.1177/0958305X221115096
Liang Li, Gang Li, I. Ozturk, Sana Ullah
Rapid modernization and industrialization have significantly intensified carbon emissions and worsened environmental sustainability around the globe. Despite the significant importance of green innovation, clean energy consumption, and education in every aspect of life, the role of all these variables in determining environmental sustainability has not been explored quite extensively in case of China. Under this premise, the present study aims to investigate the role of green innovation, clean energy investment, and education on environmental sustainability in highly polluted Asian economies for the period of 1991–2019 by employing the autoregressive distributed lag (ARDL) model. The findings infer that increase in green innovation reduces CO2 emissions in China, India, and Japan in the long-run. However, an increase in clean energy investment and education tends to decline CO2 emissions in Russia and Japan. The findings confirm that green innovation, clean energy investment, and education improve environmental sustainability in long-run, while short-run estimates are diverse. Thus, governments of highly polluted economies should increase investment in education, clean energy, and technology to mitigate CO2 emissions.
{"title":"Green innovation and environmental sustainability: Do clean energy investment and education matter?","authors":"Liang Li, Gang Li, I. Ozturk, Sana Ullah","doi":"10.1177/0958305X221115096","DOIUrl":"https://doi.org/10.1177/0958305X221115096","url":null,"abstract":"Rapid modernization and industrialization have significantly intensified carbon emissions and worsened environmental sustainability around the globe. Despite the significant importance of green innovation, clean energy consumption, and education in every aspect of life, the role of all these variables in determining environmental sustainability has not been explored quite extensively in case of China. Under this premise, the present study aims to investigate the role of green innovation, clean energy investment, and education on environmental sustainability in highly polluted Asian economies for the period of 1991–2019 by employing the autoregressive distributed lag (ARDL) model. The findings infer that increase in green innovation reduces CO2 emissions in China, India, and Japan in the long-run. However, an increase in clean energy investment and education tends to decline CO2 emissions in Russia and Japan. The findings confirm that green innovation, clean energy investment, and education improve environmental sustainability in long-run, while short-run estimates are diverse. Thus, governments of highly polluted economies should increase investment in education, clean energy, and technology to mitigate CO2 emissions.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"70 1","pages":"2705 - 2720"},"PeriodicalIF":4.2,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76191436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-19DOI: 10.1177/0958305X221115094
Liguo Zhang, Cuiting Jiang, Xiang Cai, Jun Wu
China’s outward foreign direct investment (OFDI) provides a window of opportunity for the Belt and Road (B&R) countries to solve their transportation challenges and achieve green economic growth. This study examines the causal relationship between China’s OFDI, transport, and green economic growth in 63 B&R countries from 2005 to 2019 using system GMM estimators. The empirical results indicate that there is a multifarious relationship between these factors. China’s OFDI can effectively facilitate the transport infrastructure construction of host countries, which will spur green economic growth. Moreover, the B&R countries with transport and green economic growth gap are more likely to contribute to China’s OFDI “attractiveness.” These conclusions provide a policy basis for the B&R countries to attract China’s OFDI, develop adequate transportation infrastructure, and enhance sustainable green economic growth.
{"title":"Dynamic linkages between China’s OFDI, transport, and green economic growth: Empirical evidence from the B&R countries","authors":"Liguo Zhang, Cuiting Jiang, Xiang Cai, Jun Wu","doi":"10.1177/0958305X221115094","DOIUrl":"https://doi.org/10.1177/0958305X221115094","url":null,"abstract":"China’s outward foreign direct investment (OFDI) provides a window of opportunity for the Belt and Road (B&R) countries to solve their transportation challenges and achieve green economic growth. This study examines the causal relationship between China’s OFDI, transport, and green economic growth in 63 B&R countries from 2005 to 2019 using system GMM estimators. The empirical results indicate that there is a multifarious relationship between these factors. China’s OFDI can effectively facilitate the transport infrastructure construction of host countries, which will spur green economic growth. Moreover, the B&R countries with transport and green economic growth gap are more likely to contribute to China’s OFDI “attractiveness.” These conclusions provide a policy basis for the B&R countries to attract China’s OFDI, develop adequate transportation infrastructure, and enhance sustainable green economic growth.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"140 1","pages":"2642 - 2667"},"PeriodicalIF":4.2,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74891238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-15DOI: 10.1177/0958305X221108493
Mortaza Baky Haskuee, A. Asgary
During Covid-19 pandemic world economy experienced negative growth rate, therefore energy consumption and consequently emission pollution decreased. According to Environmental Kuznets Curve, it is expected that energy consumption and emission pollution increase in response to Covid-19 economic recovery, even higher than its pre-pandemic level. The goal of this paper is to study the environmental risk of Covid-19 economic recovery. We use an Environmentally-Augmented Global Vector Autoregressive Model (E-GVAR) to trace dynamic effects of Covid-19 economic recovery on pollution emission. Using generalized impulse response functions (GIRFs), we investigated the effect of positive economic shocks in real per capita income in China and USA economies on total C O 2 equivalent emission pollution. The results show that positive economic recovery affects emission pollution significantly. China and emerging economies may experience high risk while Europe region is moderately affected by this positive shock. A positive Economic Shock in China decrease pollution emission in USA over time. It can be attributed to substitution effect of Chinese product in global market. Generally, our results demonstrate spillover effect of transition shocks from large economies to the rest of world and highlights the importance of linkages in the world economy.
{"title":"Environmental risk of Covid-19 recovery","authors":"Mortaza Baky Haskuee, A. Asgary","doi":"10.1177/0958305X221108493","DOIUrl":"https://doi.org/10.1177/0958305X221108493","url":null,"abstract":"During Covid-19 pandemic world economy experienced negative growth rate, therefore energy consumption and consequently emission pollution decreased. According to Environmental Kuznets Curve, it is expected that energy consumption and emission pollution increase in response to Covid-19 economic recovery, even higher than its pre-pandemic level. The goal of this paper is to study the environmental risk of Covid-19 economic recovery. We use an Environmentally-Augmented Global Vector Autoregressive Model (E-GVAR) to trace dynamic effects of Covid-19 economic recovery on pollution emission. Using generalized impulse response functions (GIRFs), we investigated the effect of positive economic shocks in real per capita income in China and USA economies on total C O 2 equivalent emission pollution. The results show that positive economic recovery affects emission pollution significantly. China and emerging economies may experience high risk while Europe region is moderately affected by this positive shock. A positive Economic Shock in China decrease pollution emission in USA over time. It can be attributed to substitution effect of Chinese product in global market. Generally, our results demonstrate spillover effect of transition shocks from large economies to the rest of world and highlights the importance of linkages in the world economy.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"534 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86019312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-14DOI: 10.1177/0958305x221112912
Mohamed Nishath Peer, Krishnaveni Anbalagan
To compensate the oil demand and pollution, scientists explore biodiesel as a pollution free alternate energy. But depending on one particular species of feedstock will lead to its extinction like diesel. For this intent, this research proposes a novelty on blending of binary non-edible high oil yielding species. As biodiesel is a natural constituent with elevated oxygen content, a stability analysis has to be performed to diminish its rapid decay. For stabilizing fuel properties synthetic antioxidants have been involved as inhibitors. Previous studies have been performed on the stability analysis individually as oxidation, thermal and storage stability without analyzing them mutually. This research fills the key gap by deeper mutual stability analysis, as the output parameters of these three stabilities are interrelated. Few samples have shown best stability output parameters which challenges in narrowing the best blend. To face this task, a multi objective optimization study has been done. NOx emission has been reduced with the aid of antioxidants as a twin reward. Two novel assessment tools for validating are, i) FTIR, by which the impact of molecular arrangements on stability variation has been evaluated and ii) Using Infrared Imaging Technique, by which the NOX has been analyzed visually correlating the emission level and engine combustion temperature.
{"title":"Novel FTIR and visible infrared imaging assessment of binary biofuel stability and abated NOx for clean environment assisting energy approach","authors":"Mohamed Nishath Peer, Krishnaveni Anbalagan","doi":"10.1177/0958305x221112912","DOIUrl":"https://doi.org/10.1177/0958305x221112912","url":null,"abstract":"To compensate the oil demand and pollution, scientists explore biodiesel as a pollution free alternate energy. But depending on one particular species of feedstock will lead to its extinction like diesel. For this intent, this research proposes a novelty on blending of binary non-edible high oil yielding species. As biodiesel is a natural constituent with elevated oxygen content, a stability analysis has to be performed to diminish its rapid decay. For stabilizing fuel properties synthetic antioxidants have been involved as inhibitors. Previous studies have been performed on the stability analysis individually as oxidation, thermal and storage stability without analyzing them mutually. This research fills the key gap by deeper mutual stability analysis, as the output parameters of these three stabilities are interrelated. Few samples have shown best stability output parameters which challenges in narrowing the best blend. To face this task, a multi objective optimization study has been done. NOx emission has been reduced with the aid of antioxidants as a twin reward. Two novel assessment tools for validating are, i) FTIR, by which the impact of molecular arrangements on stability variation has been evaluated and ii) Using Infrared Imaging Technique, by which the NOX has been analyzed visually correlating the emission level and engine combustion temperature.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"9 1","pages":"2544 - 2600"},"PeriodicalIF":4.2,"publicationDate":"2022-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75282362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-26DOI: 10.1177/0958305X221109949
Zhang Zhen, Sami Ullah, Shaowen Zhan, M. Irfan
Achieving ecological sustainability is a critical issue of the current era, and researchers are striving to find viable solutions for sustainable development and ecological wellbeing. This study is an effort to examine the ecological consequences of renewable energy (REC), financial development (FD), and technical efficiency (TE) in 27 countries of the European Union (EU), time ranges from 1980 to 2018. We used second-generation econometric techniques to consider the cross-sectional dependency in the model and the CS-ARDL method to estimate the long-run dynamics of the variables. The Westerlund cointegration technique confirmed the long-run association among REC, FD, TE, and ecological footprint (EF). Furthermore, CS-ARDL results revealed a positive influence of FD on EF, indicating FD is a significant contributor to the ecological footprint of the EU. However, REC and TE promote ecological sustainability in the EU, as both factors negatively affect the EF. Furthermore, the interaction of FD and TE is also estimated to mitigate EF in sample countries. The study recommends that government policies in EU countries must be skewed towards promoting renewable energy usage, lending in green and energy-efficient technology, and technological advancement in the production process.
{"title":"How do renewable energy consumption, financial development, and technical efficiency change cause ecological sustainability in European Union countries?","authors":"Zhang Zhen, Sami Ullah, Shaowen Zhan, M. Irfan","doi":"10.1177/0958305X221109949","DOIUrl":"https://doi.org/10.1177/0958305X221109949","url":null,"abstract":"Achieving ecological sustainability is a critical issue of the current era, and researchers are striving to find viable solutions for sustainable development and ecological wellbeing. This study is an effort to examine the ecological consequences of renewable energy (REC), financial development (FD), and technical efficiency (TE) in 27 countries of the European Union (EU), time ranges from 1980 to 2018. We used second-generation econometric techniques to consider the cross-sectional dependency in the model and the CS-ARDL method to estimate the long-run dynamics of the variables. The Westerlund cointegration technique confirmed the long-run association among REC, FD, TE, and ecological footprint (EF). Furthermore, CS-ARDL results revealed a positive influence of FD on EF, indicating FD is a significant contributor to the ecological footprint of the EU. However, REC and TE promote ecological sustainability in the EU, as both factors negatively affect the EF. Furthermore, the interaction of FD and TE is also estimated to mitigate EF in sample countries. The study recommends that government policies in EU countries must be skewed towards promoting renewable energy usage, lending in green and energy-efficient technology, and technological advancement in the production process.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"27 1","pages":"2478 - 2496"},"PeriodicalIF":4.2,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87040206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-23DOI: 10.1177/0958305X221109603
Gangfei Luo, T. Baležentis, Shouzhen Zeng, JiaShun Pan
Identifying the carbon emission characteristics, driving factors, and decoupling status of the industrial subsectors is important for developing effective policy measures. This allows for implementing industrial emission reduction that, eventually, decouple carbon emission and economic growth. Such an analysis is especially important for the case of China on its way towards sustainable development and increasing global interrelationships. However, the literature still lacks comprehensive analysis, especially, at the industry level. This study uses the Logarithmic Mean Divisia Index and decoupling indicator to analyze how different factors contribute to CO2 emissions in 28 industries in China during 2002–2017. The results reveal that the growth of industrial CO2 emissions has been positive but decreasing. The highest CO2 emission change is observed for production and supply of electric and heat power, processing of petroleum, coking, and nuclear fuel, and smelting and pressing of metals. These sectors also show high carbon intensity levels. The economic output (scale) effect and population effect comprise the two major factors promoting the CO2 emission. The energy intensity effect is the key inhibiting factor of the industrial energy-related CO2 emission in China. The suppressive effects of energy and industrial structure have been continuously increasing. The economic growth and CO2 emission has been gradually decoupling in the case of the 28 sectors analyzed. Manufacture of cloths, leather, fur, feather, and related products as well as production and supply of gas exhibit a relatively stable strong decoupling. Based on the decoupling analysis, this study shows that energy intensity has induced the decoupling, whereas the opposite effect has occurred due to economic growth, and the other factors showed little effect on CO2 emission decoupling.
{"title":"Creating a decarbonized economy: Decoupling effects and driving factors of CO2 emission of 28 industries in China","authors":"Gangfei Luo, T. Baležentis, Shouzhen Zeng, JiaShun Pan","doi":"10.1177/0958305X221109603","DOIUrl":"https://doi.org/10.1177/0958305X221109603","url":null,"abstract":"Identifying the carbon emission characteristics, driving factors, and decoupling status of the industrial subsectors is important for developing effective policy measures. This allows for implementing industrial emission reduction that, eventually, decouple carbon emission and economic growth. Such an analysis is especially important for the case of China on its way towards sustainable development and increasing global interrelationships. However, the literature still lacks comprehensive analysis, especially, at the industry level. This study uses the Logarithmic Mean Divisia Index and decoupling indicator to analyze how different factors contribute to CO2 emissions in 28 industries in China during 2002–2017. The results reveal that the growth of industrial CO2 emissions has been positive but decreasing. The highest CO2 emission change is observed for production and supply of electric and heat power, processing of petroleum, coking, and nuclear fuel, and smelting and pressing of metals. These sectors also show high carbon intensity levels. The economic output (scale) effect and population effect comprise the two major factors promoting the CO2 emission. The energy intensity effect is the key inhibiting factor of the industrial energy-related CO2 emission in China. The suppressive effects of energy and industrial structure have been continuously increasing. The economic growth and CO2 emission has been gradually decoupling in the case of the 28 sectors analyzed. Manufacture of cloths, leather, fur, feather, and related products as well as production and supply of gas exhibit a relatively stable strong decoupling. Based on the decoupling analysis, this study shows that energy intensity has induced the decoupling, whereas the opposite effect has occurred due to economic growth, and the other factors showed little effect on CO2 emission decoupling.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"51 1","pages":"2413 - 2431"},"PeriodicalIF":4.2,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75356027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-22DOI: 10.1177/0958305X221105268
Yu Yan, Yiming Lei, Yuyang Tang, Xufeng Zhao
Under neoclassical assumptions, this paper develops a model to illustrate the effects of government use of carbon allowances for carbon emission control. We find that control using the instrument of issuing long-term carbon allowances does not produce the same good results in the Decentralised Equilibrium as in the Planning Problem. Thus, while Coase's Theorem ensures that the Pareto optimum is maintained in an economy with multiple agents, it does not align the social development with the economic optimum of the planner. We believe this is due to the that the price of carbon allowances is determined by asset profiles of investors rather than externalities. The steady-state under the special pathway shows that consumption is determined by the rate of technological progress, the total amount of carbon dioxide at steady-state, the level of technology at which steady-state is reached and the total amount of carbon allowances remaining. The comparison with the optimal tax path reveals that the price of carbon allowances has increased too quickly, leading to excessive consumption of fossil fuels in the early stages.
{"title":"Ineffectiveness of carbon cap-and-trade market","authors":"Yu Yan, Yiming Lei, Yuyang Tang, Xufeng Zhao","doi":"10.1177/0958305X221105268","DOIUrl":"https://doi.org/10.1177/0958305X221105268","url":null,"abstract":"Under neoclassical assumptions, this paper develops a model to illustrate the effects of government use of carbon allowances for carbon emission control. We find that control using the instrument of issuing long-term carbon allowances does not produce the same good results in the Decentralised Equilibrium as in the Planning Problem. Thus, while Coase's Theorem ensures that the Pareto optimum is maintained in an economy with multiple agents, it does not align the social development with the economic optimum of the planner. We believe this is due to the that the price of carbon allowances is determined by asset profiles of investors rather than externalities. The steady-state under the special pathway shows that consumption is determined by the rate of technological progress, the total amount of carbon dioxide at steady-state, the level of technology at which steady-state is reached and the total amount of carbon allowances remaining. The comparison with the optimal tax path reveals that the price of carbon allowances has increased too quickly, leading to excessive consumption of fossil fuels in the early stages.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"34 1","pages":"2317 - 2342"},"PeriodicalIF":4.2,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81291596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-06-21DOI: 10.1177/0958305X221109606
Shuhong Wang, Yuqing He, Hanxue Chen
The development of foreign trade and industrial pollution control is an important theme of government governance today. Based on the institutional background of rising international trade protectionism, this study examines the impact of trade barriers on industrial pollution emissions by using different measurement methods and data from 16 industrial sectors in 10 major countries. The results show that lowering trade barriers can significantly reduce industrial pollution emissions, considering the impact of potential endogenous problems. Heterogeneity analysis shows that reducing trade barriers in developed countries can reduce industrial SO2-emission intensity, while the opposite is true in developing countries. Trade barriers have the greatest effect on the pollution-emission intensity of technology-intensive industries, followed by labor-intensive and capital-intensive industries. Mechanism analysis shows that trade barriers affect industrial pollution-emission intensity through both pollution emission and industrial output and that energy-use intensity and biased technological progress are important mechanisms. This study provides a useful reference for governments to promote foreign trade development and ecological and environmental protection.
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