This paper takes Jiangsu as an example to measure the carbon emissions from the electric power industry from 2002 to 2017, builds an extended STIRPAT model to quantify its driving factors, and uses the Monte Carlo method to simulate the evolution of carbon emissions in multiple scenarios from 2018 to 2030. The results show that: (1)Population scale, urbanization level, GDP per capita, industrial added value, and electricity consumption intensity promote the increase of carbon emissions in the electric power industry. (2)Trade openness and the transmission level of other provinces play a role in reducing carbon emissions. (3)Under the baseline scenario and the green development scenario, the carbon emissions of the electric power industry have shown a continuous growth trend, but the growth rate of carbon emissions has slowed down significantly under the green development scenario.
{"title":"Carbon emission from the electric power industry in Jiangsu province, China: Historical evolution and future prediction","authors":"Chenjun Zhang, Teli Ma, Changfeng Shi, Yung‐ho Chiu","doi":"10.1177/0958305X221087506","DOIUrl":"https://doi.org/10.1177/0958305X221087506","url":null,"abstract":"This paper takes Jiangsu as an example to measure the carbon emissions from the electric power industry from 2002 to 2017, builds an extended STIRPAT model to quantify its driving factors, and uses the Monte Carlo method to simulate the evolution of carbon emissions in multiple scenarios from 2018 to 2030. The results show that: (1)Population scale, urbanization level, GDP per capita, industrial added value, and electricity consumption intensity promote the increase of carbon emissions in the electric power industry. (2)Trade openness and the transmission level of other provinces play a role in reducing carbon emissions. (3)Under the baseline scenario and the green development scenario, the carbon emissions of the electric power industry have shown a continuous growth trend, but the growth rate of carbon emissions has slowed down significantly under the green development scenario.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"108 1","pages":"1910 - 1936"},"PeriodicalIF":4.2,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91006360","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 : 2022-05-29DOI: 10.1177/0958305X221102049
F. Shahzad, Zeeshan Fareed, Yong Wan, Yihan Wang, Z. Zahid, M. Irfan
This study corroborates the asymmetric and heterogeneous associations between clean energy intensity (CEI) and carbon dioxide (CO2) emissions among the world's top ten renewable energy consumer countries using quarterly data from 1970Q1 to 2018Q4. We quantify the complete dependence structure between CEI and CO2 at quantile distributions using a novel quantile-on-quantile (QQ) method proposed by Sim and Zhou (2015). Compared to classic approaches such as quantile regression and ordinary least squares, the QQ technique can provide more information on the overall relationship between CEI and CO2. Furthermore, we also seek to determine causal relationships between CEI and CO2 using a quantile Granger causality approach suggested by Troster. According to our empirical evidence, the link between the two variables is predominantly negative. Moreover, there are significant disparities across countries in the quantile ranges of CEI and CO2. In particular, there is a weak positive link between CEI and CO2 in the case of Sweden, Italy, Japan, and Australia, which may be because CEI has a minimal direct influence on CO2 in these countries. The empirical findings clarify that policymakers should fund renewable energy industries to minimize carbon dioxide (CO2) emissions and achieve Sustainable Development Goals (SDGs).
{"title":"Examining the asymmetric link between clean energy intensity and carbon dioxide emissions: The significance of quantile-on-quantile method","authors":"F. Shahzad, Zeeshan Fareed, Yong Wan, Yihan Wang, Z. Zahid, M. Irfan","doi":"10.1177/0958305X221102049","DOIUrl":"https://doi.org/10.1177/0958305X221102049","url":null,"abstract":"This study corroborates the asymmetric and heterogeneous associations between clean energy intensity (CEI) and carbon dioxide (CO2) emissions among the world's top ten renewable energy consumer countries using quarterly data from 1970Q1 to 2018Q4. We quantify the complete dependence structure between CEI and CO2 at quantile distributions using a novel quantile-on-quantile (QQ) method proposed by Sim and Zhou (2015). Compared to classic approaches such as quantile regression and ordinary least squares, the QQ technique can provide more information on the overall relationship between CEI and CO2. Furthermore, we also seek to determine causal relationships between CEI and CO2 using a quantile Granger causality approach suggested by Troster. According to our empirical evidence, the link between the two variables is predominantly negative. Moreover, there are significant disparities across countries in the quantile ranges of CEI and CO2. In particular, there is a weak positive link between CEI and CO2 in the case of Sweden, Italy, Japan, and Australia, which may be because CEI has a minimal direct influence on CO2 in these countries. The empirical findings clarify that policymakers should fund renewable energy industries to minimize carbon dioxide (CO2) emissions and achieve Sustainable Development Goals (SDGs).","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"28 1","pages":"1884 - 1909"},"PeriodicalIF":4.2,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82598021","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 : 2022-05-29DOI: 10.1177/0958305X221091539
Muhammad Khan, A. Rana, Wafa Ghardallou
Developing economies are characterized by unstable and volatile growth performance. Some recent studies argue that this can potentially undermine their environmental quality. This study tests the impact of macroeconomic instability on pollution emissions for a large panel of developing countries. Thus, we extend the standard environmental Kuznets curve (EKC) framework and include the indicator of economic instability in addition to the other variables, including income, income squared, financial development, FDI, and trade openness. For this purpose, we use the annual dataset of 34 developing countries over the period 1985–2019. The empirical analysis comprises both short-run and long-run relationships among the selected variables, using panel cointegration and the Panel Vector Error Correction Model (P-VECM). The estimated results confirm our hypothesized pollution-enhancing effects of economic instability on the sample economies. Furthermore, we confirm the validity of the EKC hypothesis in the sample economies. These findings suggest that developing economies should ensure economic stability to control their CO2 emissions.
{"title":"Economic instability and pollution emissions in developing countries: A panel data investigation","authors":"Muhammad Khan, A. Rana, Wafa Ghardallou","doi":"10.1177/0958305X221091539","DOIUrl":"https://doi.org/10.1177/0958305X221091539","url":null,"abstract":"Developing economies are characterized by unstable and volatile growth performance. Some recent studies argue that this can potentially undermine their environmental quality. This study tests the impact of macroeconomic instability on pollution emissions for a large panel of developing countries. Thus, we extend the standard environmental Kuznets curve (EKC) framework and include the indicator of economic instability in addition to the other variables, including income, income squared, financial development, FDI, and trade openness. For this purpose, we use the annual dataset of 34 developing countries over the period 1985–2019. The empirical analysis comprises both short-run and long-run relationships among the selected variables, using panel cointegration and the Panel Vector Error Correction Model (P-VECM). The estimated results confirm our hypothesized pollution-enhancing effects of economic instability on the sample economies. Furthermore, we confirm the validity of the EKC hypothesis in the sample economies. These findings suggest that developing economies should ensure economic stability to control their CO2 emissions.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"15 1","pages":"1465 - 1484"},"PeriodicalIF":4.2,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75822067","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 : 2022-05-24DOI: 10.1177/0958305X221100530
R. Ślosarski
In this paper, we analyse two phenomena. First, the relationship between greenhouse gases emission and effectiveness of the European Union energy policies and second the transition from the fossil fuels to renewable energy sources. We run two-step data analysis concerning 25 European Union member states in the period from 1990 to 2018. We use information on greenhouse gases emission, introduction of new energy policies, source of energy supplied and merge it with macroeconomic data on the countries’ structural characteristics. We assess their long-run relationship and direction of causality using panel cointegration tests and dynamic panel data models. We identify a statistically significant effect of energy supply source, energy policy introduction and greenhouse gases emission. However, we were not able to confirm that European Union energy sector is in transition. Thus, obtained results confirm that the EU energy policies are effective however not sufficient enough in decreasing use of fossil fuels to call it a transition towards renewables.
{"title":"Clean energy in the European Union: Transition or evolution?","authors":"R. Ślosarski","doi":"10.1177/0958305X221100530","DOIUrl":"https://doi.org/10.1177/0958305X221100530","url":null,"abstract":"In this paper, we analyse two phenomena. First, the relationship between greenhouse gases emission and effectiveness of the European Union energy policies and second the transition from the fossil fuels to renewable energy sources. We run two-step data analysis concerning 25 European Union member states in the period from 1990 to 2018. We use information on greenhouse gases emission, introduction of new energy policies, source of energy supplied and merge it with macroeconomic data on the countries’ structural characteristics. We assess their long-run relationship and direction of causality using panel cointegration tests and dynamic panel data models. We identify a statistically significant effect of energy supply source, energy policy introduction and greenhouse gases emission. However, we were not able to confirm that European Union energy sector is in transition. Thus, obtained results confirm that the EU energy policies are effective however not sufficient enough in decreasing use of fossil fuels to call it a transition towards renewables.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"103 1","pages":"2163 - 2185"},"PeriodicalIF":4.2,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74981163","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 : 2022-05-23DOI: 10.1177/0958305X221100534
Xinyue Zhang, Xiaopeng Guo, Xingping Zhang
China has proposed ambitious goals of carbon peak and carbon neutrality, and will pay more attention to the relationship between economic development and carbon emissions. It's significant to assess the current environmental decoupling and prospect the future conditions in China. This article studies the decoupling status and influencing factors in Chinese provinces from 1996 to 2018 through Tapio decoupling index and decomposition model. The results show that most provinces are currently in a weak decoupling state. The growth of per capita GDP and population will affect the process of strong decoupling, while the optimization of energy intensity, energy structure and industrial structure will promote the realization of strong decoupling. Moreover, this paper prospects the decoupling scenarios of Chinese provinces from 2019 to 2035 and finds that all provinces will achieve strong decoupling before 2040, 2035 and 2030 under different carbon emissions scenarios respectively. To achieve the strong decoupling of economic output and carbon emissions as soon as possible, the government must improve energy efficiency, use renewable energy in large quantities, and promote the industrial transformation and upgrading.
{"title":"Assessing and prospecting decoupling effect of carbon emissions from economic growth: Empirical studies from Chinese provinces","authors":"Xinyue Zhang, Xiaopeng Guo, Xingping Zhang","doi":"10.1177/0958305X221100534","DOIUrl":"https://doi.org/10.1177/0958305X221100534","url":null,"abstract":"China has proposed ambitious goals of carbon peak and carbon neutrality, and will pay more attention to the relationship between economic development and carbon emissions. It's significant to assess the current environmental decoupling and prospect the future conditions in China. This article studies the decoupling status and influencing factors in Chinese provinces from 1996 to 2018 through Tapio decoupling index and decomposition model. The results show that most provinces are currently in a weak decoupling state. The growth of per capita GDP and population will affect the process of strong decoupling, while the optimization of energy intensity, energy structure and industrial structure will promote the realization of strong decoupling. Moreover, this paper prospects the decoupling scenarios of Chinese provinces from 2019 to 2035 and finds that all provinces will achieve strong decoupling before 2040, 2035 and 2030 under different carbon emissions scenarios respectively. To achieve the strong decoupling of economic output and carbon emissions as soon as possible, the government must improve energy efficiency, use renewable energy in large quantities, and promote the industrial transformation and upgrading.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"163 1","pages":"2044 - 2071"},"PeriodicalIF":4.2,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78010506","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 : 2022-05-22DOI: 10.1177/0958305X221101152
Yoo-Jin Jung, J. Cha, S. Lim, Jin-Woo Park, Min-Chul Shin, Young‐Kwon Park
In this study, we analyzed the effect of dispersant characteristics on the selective catalytic reduction (SCR) catalyst properties and de-NOx efficiency. For this, we measured the zeta potential and pH value of each dispersant, and compared the thermal properties of the dispersant through TG-DTA analysis. Also, the Py-GC/MS analysis results and the MSDS contents of the product were used to compare the components and molecular weight types of the dispersant. As a result, the higher the zeta potential, pH, and molecular weight of the dispersant, the more improved the dispersibility of the TiO2 slurry. Characteristics such as the rheology, sedimentation, and pH change, were studied to compare the dispersibility of the catalyst slurries, and the dispersion characteristics of the TiO2 slurries were confirmed by TEM. The SCR catalysts prepared varied based on the dispersant added, with the varying factor being the de-NOx efficiency between (250 to 450) °C depending on the dispersibility. The dispersant with the excellent dispersibility gave the highest efficiency of 84% or more at 250°C and 300°C, and the highest de-NOx efficiency of more than 92% at 350°C and 400°C.
{"title":"The effect of dispersant characteristics on the De-NOx efficiency of SCR catalyst","authors":"Yoo-Jin Jung, J. Cha, S. Lim, Jin-Woo Park, Min-Chul Shin, Young‐Kwon Park","doi":"10.1177/0958305X221101152","DOIUrl":"https://doi.org/10.1177/0958305X221101152","url":null,"abstract":"In this study, we analyzed the effect of dispersant characteristics on the selective catalytic reduction (SCR) catalyst properties and de-NOx efficiency. For this, we measured the zeta potential and pH value of each dispersant, and compared the thermal properties of the dispersant through TG-DTA analysis. Also, the Py-GC/MS analysis results and the MSDS contents of the product were used to compare the components and molecular weight types of the dispersant. As a result, the higher the zeta potential, pH, and molecular weight of the dispersant, the more improved the dispersibility of the TiO2 slurry. Characteristics such as the rheology, sedimentation, and pH change, were studied to compare the dispersibility of the catalyst slurries, and the dispersion characteristics of the TiO2 slurries were confirmed by TEM. The SCR catalysts prepared varied based on the dispersant added, with the varying factor being the de-NOx efficiency between (250 to 450) °C depending on the dispersibility. The dispersant with the excellent dispersibility gave the highest efficiency of 84% or more at 250°C and 300°C, and the highest de-NOx efficiency of more than 92% at 350°C and 400°C.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"16 4 1","pages":"2031 - 2043"},"PeriodicalIF":4.2,"publicationDate":"2022-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90403393","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 : 2022-05-15DOI: 10.1177/0958305X221100525
Hsien-Long Huang, Li-Keng Cheng
In this study, we investigated the relationships between personal traits (sustainable lifestyle and consumer innovativeness), psychological and physical benefits (warm glow and government incentive), attitude toward rooftop photovoltaic (PV) system installation, and intention to install a residential PV system. Furthermore, we examined the moderating effect of solar product knowledge on the relationship between attitude and intention to install a residential PV system. Convenience sampling was performed to collect data in this study. An anonymous questionnaire was distributed to participants in the form of an online survey. To prevent priming effects, the research constructs were not presented in the questionnaire, and the questions were not presented in the order of the research constructs. Each questionnaire item was evaluated using a 7-point Likert scale, and 370 valid surveys were received. Confirmatory factor analysis (CFA) was employed to verify the validity of the constructs. The CFA results confirmed that the measurement scales used in this study were appropriate. The conclusions of this study are as follows. First, ecological lifestyle, consumer innovativeness, government incentive, and warm glow affect attitude toward rooftop PV system installation. Second, this attitude influences the intention of rooftop PV system installation, and consumer knowledge moderates the relationship between attitude and intention toward rooftop PV system installation. This study's findings provide a comprehensive theoretical and empirical basis for understanding the antecedents of attitude toward the installation of residential solar energy systems. Thus, the public sector can use the aforementioned findings as a basis for developing a residential solar energy promotion policy, and relevant public and private companies can use these findings as a basis to create attractive marketing strategies for residential solar energy technology.
{"title":"Predicting intention of residential solar installation: The role of ecological lifestyle, consumer innovativeness, perceived benefit, government incentives, and solar product knowledge","authors":"Hsien-Long Huang, Li-Keng Cheng","doi":"10.1177/0958305X221100525","DOIUrl":"https://doi.org/10.1177/0958305X221100525","url":null,"abstract":"In this study, we investigated the relationships between personal traits (sustainable lifestyle and consumer innovativeness), psychological and physical benefits (warm glow and government incentive), attitude toward rooftop photovoltaic (PV) system installation, and intention to install a residential PV system. Furthermore, we examined the moderating effect of solar product knowledge on the relationship between attitude and intention to install a residential PV system. Convenience sampling was performed to collect data in this study. An anonymous questionnaire was distributed to participants in the form of an online survey. To prevent priming effects, the research constructs were not presented in the questionnaire, and the questions were not presented in the order of the research constructs. Each questionnaire item was evaluated using a 7-point Likert scale, and 370 valid surveys were received. Confirmatory factor analysis (CFA) was employed to verify the validity of the constructs. The CFA results confirmed that the measurement scales used in this study were appropriate. The conclusions of this study are as follows. First, ecological lifestyle, consumer innovativeness, government incentive, and warm glow affect attitude toward rooftop PV system installation. Second, this attitude influences the intention of rooftop PV system installation, and consumer knowledge moderates the relationship between attitude and intention toward rooftop PV system installation. This study's findings provide a comprehensive theoretical and empirical basis for understanding the antecedents of attitude toward the installation of residential solar energy systems. Thus, the public sector can use the aforementioned findings as a basis for developing a residential solar energy promotion policy, and relevant public and private companies can use these findings as a basis to create attractive marketing strategies for residential solar energy technology.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"16 1","pages":"1826 - 1843"},"PeriodicalIF":4.2,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77093463","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 : 2022-05-11DOI: 10.1177/0958305X221100526
Jiemin Huang, Liying Guo
Using panel data from 30 provinces in China from 1995 to 2017, this study explores the impact of natural resource rent, transportation infrastructure, innovation, financial development, green investment and energy investment on carbon emission and its role in achieving the sustainable development goals. In order to obtain long-term and short-term estimates, the auto-regression distribution lag model (ARDL) is used in this study. The results confirm that natural resource rent, transportation infrastructure, innovation, energy investment and carbon emission are significantly positively correlated in long-term and short-term. Financial development and carbon emission are not significant in short term, but in the long term, financial development will contribute to the rise of carbon emissions. Green investment will increase short-run carbon emissions, whereas it really can control carbon emissions, which is different from other studies. This research proposes to improve the level of innovation and reduce carbon emission in other fields through technological innovation, increase green investment and renewable energy investment and combine with financial development to invest more funds in low carbon environmental production industries and to build an environment friendly system.
{"title":"Analysis of the impact of natural resource rent, transportation infrastructure, innovation and financial development on China's carbon emission","authors":"Jiemin Huang, Liying Guo","doi":"10.1177/0958305X221100526","DOIUrl":"https://doi.org/10.1177/0958305X221100526","url":null,"abstract":"Using panel data from 30 provinces in China from 1995 to 2017, this study explores the impact of natural resource rent, transportation infrastructure, innovation, financial development, green investment and energy investment on carbon emission and its role in achieving the sustainable development goals. In order to obtain long-term and short-term estimates, the auto-regression distribution lag model (ARDL) is used in this study. The results confirm that natural resource rent, transportation infrastructure, innovation, energy investment and carbon emission are significantly positively correlated in long-term and short-term. Financial development and carbon emission are not significant in short term, but in the long term, financial development will contribute to the rise of carbon emissions. Green investment will increase short-run carbon emissions, whereas it really can control carbon emissions, which is different from other studies. This research proposes to improve the level of innovation and reduce carbon emission in other fields through technological innovation, increase green investment and renewable energy investment and combine with financial development to invest more funds in low carbon environmental production industries and to build an environment friendly system.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"3 1","pages":"1805 - 1825"},"PeriodicalIF":4.2,"publicationDate":"2022-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90796858","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 : 2022-05-06DOI: 10.1177/0958305X221096856
Hakim Berradia, M. Abid, Habib Sakrafi, Zouheyr Gheraia, Hanane Abdelli
The majority of studies analyzed show a positive and statistically significant impact of renewable energy consumption on economic growth. Nevertheless, some studies suggest a limited effect, while others find no statistically significant effect. Faced with this problem, we conducted a study aimed at analyzing the impact of renewable energy consumption on economic growth in the Kingdom of Saudi Arabia for the period 1990–2020. To determine the integration properties of the variables, we utilized the sharp and smooth structural breaks unit root test developed by Shahbaz, Omay and Roubaud (SOR). We also used the bootstrap approach of testing ARDL limits to examine the cointegration between variables. Using the VECM model, we studied the causal relationship between economic growth and its determinants. The results show, in the short and long run, the existence of a bidirectional causality between renewable energy consumption and economic growth (Feedback Hypothesis). Thus, there is a bidirectional relationship between GDP and capital and also between GDP and labor, in the long run. Therefore, an important policy implication resulting from this analysis is that renewable energy can be considered as an important factor for sustainable economic development in Saudi Arabia. The findings for Saudi Arabia may also be relevant for oil exporting countries to achieve efficiency and promote the renewable energy sector beyond oil.
{"title":"The effect of renewable energy consumption on economic growth in KSA: A bootstrap causality test","authors":"Hakim Berradia, M. Abid, Habib Sakrafi, Zouheyr Gheraia, Hanane Abdelli","doi":"10.1177/0958305X221096856","DOIUrl":"https://doi.org/10.1177/0958305X221096856","url":null,"abstract":"The majority of studies analyzed show a positive and statistically significant impact of renewable energy consumption on economic growth. Nevertheless, some studies suggest a limited effect, while others find no statistically significant effect. Faced with this problem, we conducted a study aimed at analyzing the impact of renewable energy consumption on economic growth in the Kingdom of Saudi Arabia for the period 1990–2020. To determine the integration properties of the variables, we utilized the sharp and smooth structural breaks unit root test developed by Shahbaz, Omay and Roubaud (SOR). We also used the bootstrap approach of testing ARDL limits to examine the cointegration between variables. Using the VECM model, we studied the causal relationship between economic growth and its determinants. The results show, in the short and long run, the existence of a bidirectional causality between renewable energy consumption and economic growth (Feedback Hypothesis). Thus, there is a bidirectional relationship between GDP and capital and also between GDP and labor, in the long run. Therefore, an important policy implication resulting from this analysis is that renewable energy can be considered as an important factor for sustainable economic development in Saudi Arabia. The findings for Saudi Arabia may also be relevant for oil exporting countries to achieve efficiency and promote the renewable energy sector beyond oil.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"8 1","pages":"1787 - 1804"},"PeriodicalIF":4.2,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82988923","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 : 2022-04-21DOI: 10.1177/0958305X221089217
S. Bitire, E. Nwanna, T. Jen
The utilization of fossil fuels like diesel has contributed immensely to ecological challenges such as the emission of greenhouse gasses. Hence, the motivation for sourcing another energy that is renewable as well as easily accessible from relatively cheap materials. Biodiesel is a perfect replacement for petro-diesel because it is biodegradable, economically viable, and has lower toxicity. However, there are challenges associated (poor engine efficiency) with its utilization in engines. It also raises NOx emissions which necessitates frequent engine component replacement owing to clogging, and it is ineffective in cold weather. To boost efficiency, nanoparticles can be combined with biodiesel blends. Moreover, the utilization of nanoparticle additives improves the performance of engines, rate of heat transfer, fuel mixture balance, thermo-physical characteristics, as well as the reduction in exhaust emissions. Copper oxide which is a transition metal oxide aids in the heat transfer from the engine down to the exhaust thus lowering the emissions of NOx. As a result, CuO nanoparticles are thought to have a lot of potential as a diesel engine additive and therefore, this review study was conducted to deduce the various techniques for generating CuO nano-fuels, the preparation methods, as well as their physicochemical features. Furthermore, the combustion behaviour, performance, and emission characteristics of diesel engines powered by CuO nanoparticle-containing biodiesel and blends were carefully investigated.
{"title":"The impact of CuO nanoparticles as fuel additives in biodiesel-blend fuelled diesel engine: A review","authors":"S. Bitire, E. Nwanna, T. Jen","doi":"10.1177/0958305X221089217","DOIUrl":"https://doi.org/10.1177/0958305X221089217","url":null,"abstract":"The utilization of fossil fuels like diesel has contributed immensely to ecological challenges such as the emission of greenhouse gasses. Hence, the motivation for sourcing another energy that is renewable as well as easily accessible from relatively cheap materials. Biodiesel is a perfect replacement for petro-diesel because it is biodegradable, economically viable, and has lower toxicity. However, there are challenges associated (poor engine efficiency) with its utilization in engines. It also raises NOx emissions which necessitates frequent engine component replacement owing to clogging, and it is ineffective in cold weather. To boost efficiency, nanoparticles can be combined with biodiesel blends. Moreover, the utilization of nanoparticle additives improves the performance of engines, rate of heat transfer, fuel mixture balance, thermo-physical characteristics, as well as the reduction in exhaust emissions. Copper oxide which is a transition metal oxide aids in the heat transfer from the engine down to the exhaust thus lowering the emissions of NOx. As a result, CuO nanoparticles are thought to have a lot of potential as a diesel engine additive and therefore, this review study was conducted to deduce the various techniques for generating CuO nano-fuels, the preparation methods, as well as their physicochemical features. Furthermore, the combustion behaviour, performance, and emission characteristics of diesel engines powered by CuO nanoparticle-containing biodiesel and blends were carefully investigated.","PeriodicalId":11652,"journal":{"name":"Energy & Environment","volume":"118 1","pages":"2259 - 2289"},"PeriodicalIF":4.2,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79393207","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：