This study employed the FMOLS and DOLS models to examine the impact of renewable energy, trade openness and economic growth on CO2 emissions in MENA countries over the period 1990-2023. Furthermore, we employ SGMM approach in order to robustify DOLS and FMOLS results. Our findings reveal that the renewable energy promotes the environmental quality by decreasing the CO2 emissions in the MENA countries. However, the economic growth increases the carbon emissions. The study reveals also that instead of the conventional U-shaped EKC hypothesis, there is the inversed U-shaped relationship between CO2 emissions and economic growth in the long run. For the trade openness, it has a negative effect on CO2 emissions, in the SGMM model. However, our findings in the FMOLS and DOLS show that it increases the CO2 emissions in the long run. Then this paper suggests that MENA policy makers should maximise the use of renewable energy and ensure the efficient utilization of GDP and trade openness in order to minimise the level of CO2 emissions.
{"title":"Assessing the Relationship between CO2 Emissions, Renewable Energy, Trade Openness and Economic Growth: MENA Countries Analysis","authors":"I. Yahyaoui, Mohamed Ghandri","doi":"10.32479/ijeep.16173","DOIUrl":"https://doi.org/10.32479/ijeep.16173","url":null,"abstract":"This study employed the FMOLS and DOLS models to examine the impact of renewable energy, trade openness and economic growth on CO2 emissions in MENA countries over the period 1990-2023. Furthermore, we employ SGMM approach in order to robustify DOLS and FMOLS results. Our findings reveal that the renewable energy promotes the environmental quality by decreasing the CO2 emissions in the MENA countries. However, the economic growth increases the carbon emissions. The study reveals also that instead of the conventional U-shaped EKC hypothesis, there is the inversed U-shaped relationship between CO2 emissions and economic growth in the long run. For the trade openness, it has a negative effect on CO2 emissions, in the SGMM model. However, our findings in the FMOLS and DOLS show that it increases the CO2 emissions in the long run. Then this paper suggests that MENA policy makers should maximise the use of renewable energy and ensure the efficient utilization of GDP and trade openness in order to minimise the level of CO2 emissions.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research paper delves into the global shift towards sustainable energy, focusing on the substantial energy consumption and greenhouse gas emissions of the agricultural sector. Emphasizing the need for cleaner energy sources, particularly solar technology, the study scrutinizes the cases of India to unravel the complexities influencing the adoption of solar technology in diverse socio-economic landscapes. The paper aims to contribute to the ongoing conversation about energy transition, providing a nuanced understanding of challenges and opportunities associated with widespread solar technology deployment. Focusing on solar technology as a transformative solution, the paper explores adoption and integration challenges, considering India as a case study due to its abundant solar resources. The research examines technological, economic, social, and institutional forces to illuminate the potential of solar technology in shaping sustainable and inclusive energy landscapes. The paper underscores the importance of community support for renewable energy projects and addresses material and attitudinal influences. Geographical location, government policies, and awareness campaigns are identified as critical elements for successful solar technology integration.
{"title":"The Bright Revolution: Accelerating Adoption of Solar Energy in India’s Dynamic Landscape","authors":"Udit Chawla, Rajesh Mohnot, Akinola Fadahunsi, Devika Mulchandani","doi":"10.32479/ijeep.16388","DOIUrl":"https://doi.org/10.32479/ijeep.16388","url":null,"abstract":"This research paper delves into the global shift towards sustainable energy, focusing on the substantial energy consumption and greenhouse gas emissions of the agricultural sector. Emphasizing the need for cleaner energy sources, particularly solar technology, the study scrutinizes the cases of India to unravel the complexities influencing the adoption of solar technology in diverse socio-economic landscapes. The paper aims to contribute to the ongoing conversation about energy transition, providing a nuanced understanding of challenges and opportunities associated with widespread solar technology deployment. Focusing on solar technology as a transformative solution, the paper explores adoption and integration challenges, considering India as a case study due to its abundant solar resources. The research examines technological, economic, social, and institutional forces to illuminate the potential of solar technology in shaping sustainable and inclusive energy landscapes. The paper underscores the importance of community support for renewable energy projects and addresses material and attitudinal influences. Geographical location, government policies, and awareness campaigns are identified as critical elements for successful solar technology integration.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Misbah Nosheen, Ahsan Akbar, M. Sohail, Javed Iqbal, Martina Hedvicakova, Sareer Ahmad, Syed Arslan Haider, Azeem Gul
In recent years, numerous countries have embarked on a transformative journey to reshape their energy portfolios by transitioning from fossil-based resources to renewable sources, significantly impacting economic growth. This study aims to scrutinize the influence of renewable energy consumption (REC) on GDP growth responsiveness in the top 20 renewable energy-consuming countries over the period from 1990 to 2021. To ensure robust panel analysis, the study addresses cross-sectional dependence using the diagnostic test proposed by Pesaran (2004). The long-run perspective reveals that both conventional factors of production, encompassing both renewable and non-renewable energy (Fossil Fuel Energy - FEF) consumption, make positive contributions to GDP growth in the sampled countries. Single-country time series analyses further underscore the positive long-run output elasticities concerning renewable energy in the majority of these nations. These findings highlight the pivotal role of renewable energy as a key determinant of sustained GDP growth, indicating that these countries are on a trajectory of sustainable development. The study's implications extend to policy considerations, urging collaborative efforts among governments, international organizations, and energy planners. There is a pressing need for the implementation of strategic renewable energy initiatives across nations. Governments are encouraged to adopt incentive-based policies to optimize the harnessing of renewable energy resources, fostering not only economic growth but also contributing to the global pursuit of sustainable and environmentally conscious practices.
{"title":"From Fossil to Future: The Transformative Role of Renewable Energy in Shaping Economic Landscapes","authors":"Misbah Nosheen, Ahsan Akbar, M. Sohail, Javed Iqbal, Martina Hedvicakova, Sareer Ahmad, Syed Arslan Haider, Azeem Gul","doi":"10.32479/ijeep.16006","DOIUrl":"https://doi.org/10.32479/ijeep.16006","url":null,"abstract":"In recent years, numerous countries have embarked on a transformative journey to reshape their energy portfolios by transitioning from fossil-based resources to renewable sources, significantly impacting economic growth. This study aims to scrutinize the influence of renewable energy consumption (REC) on GDP growth responsiveness in the top 20 renewable energy-consuming countries over the period from 1990 to 2021. To ensure robust panel analysis, the study addresses cross-sectional dependence using the diagnostic test proposed by Pesaran (2004). The long-run perspective reveals that both conventional factors of production, encompassing both renewable and non-renewable energy (Fossil Fuel Energy - FEF) consumption, make positive contributions to GDP growth in the sampled countries. Single-country time series analyses further underscore the positive long-run output elasticities concerning renewable energy in the majority of these nations. These findings highlight the pivotal role of renewable energy as a key determinant of sustained GDP growth, indicating that these countries are on a trajectory of sustainable development. The study's implications extend to policy considerations, urging collaborative efforts among governments, international organizations, and energy planners. There is a pressing need for the implementation of strategic renewable energy initiatives across nations. Governments are encouraged to adopt incentive-based policies to optimize the harnessing of renewable energy resources, fostering not only economic growth but also contributing to the global pursuit of sustainable and environmentally conscious practices.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141676443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Víctor Dante Ayaviri-Nina, Andrés Alejandro Olmedo Falconi, Alba Isabel Maldonado Nunez, Edgar Anibal Rodriguez
Ecuador has become a benchmark when it comes to sustainable electricity generation in recent years. This research is based on advances in the energy sector, with the aim of knowing the impact of the consumption of renewable electrical energy on economic growth. To carry out the study, annual time series data were used for the period 1990-2021, as well as the unit root tests proposed by Dickey and Fuller in 1981 and Clemente, Montañez and Reyes in 1998. In addition, the proposed by Bayer and Hanck which is the combined cointegration test and the autoregressive distributed lag model (ARDL) to know the impact in the short and long term. Finally, to determine causality, the VECM Granger causality framework was used. The findings demonstrated a positive impact, for every 1% increase in per capita consumption of renewable electrical energy, economic growth will increase by 5.32% in the short term. However, in the long term, for every 1% increase in per capita consumption of renewable electrical energy, economic growth will contract by 0.85%.
{"title":"Impact of Renewable Electricity Consumption on the Economic Growth of Ecuador. Evidence from the Joint Cointegration Test","authors":"Víctor Dante Ayaviri-Nina, Andrés Alejandro Olmedo Falconi, Alba Isabel Maldonado Nunez, Edgar Anibal Rodriguez","doi":"10.32479/ijeep.16321","DOIUrl":"https://doi.org/10.32479/ijeep.16321","url":null,"abstract":"Ecuador has become a benchmark when it comes to sustainable electricity generation in recent years. This research is based on advances in the energy sector, with the aim of knowing the impact of the consumption of renewable electrical energy on economic growth. To carry out the study, annual time series data were used for the period 1990-2021, as well as the unit root tests proposed by Dickey and Fuller in 1981 and Clemente, Montañez and Reyes in 1998. In addition, the proposed by Bayer and Hanck which is the combined cointegration test and the autoregressive distributed lag model (ARDL) to know the impact in the short and long term. Finally, to determine causality, the VECM Granger causality framework was used. The findings demonstrated a positive impact, for every 1% increase in per capita consumption of renewable electrical energy, economic growth will increase by 5.32% in the short term. However, in the long term, for every 1% increase in per capita consumption of renewable electrical energy, economic growth will contract by 0.85%.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141677029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rui Dias, Mariana Chambino, Rosa Galvão, Paulo Alexandre, Mohammad Irfan
This study aimed to assess whether renewable energy cryptocurrencies such as Cardano (ADA), Ripple (XRP), IOTA (MIOTA), and Stellar (XLM) can be considered hedging assets and safe havens for cryptocurrencies classified as "dirty", such as Bitcoin Cash (BCH), Bitcoin (BTC) Litcoin (LTC), Ethereum (ETH), Ethereum Classic (ETC) and the clean energy stock indices WILDERHILL Clean Energy (ECO) and Clean Energy Fuels (CLNE), from July 6, 2018, to July 6, 2023. The results show that the movements decreased significantly during the Stress period, which includes the events of 2020 and 2022. The Cardano cryptocurrency shows moderate movements, indicating stability and diversification, while Stellar shows moderate movements that suggest resilience. Conversely, XRP shows varied movements, requiring some caution, while IOTA stands out for significant movements associated with sustainable assets. These results interest players operating in these markets when they want to diversify and rebalance their portfolios.
{"title":"Side Effects and Interactions: Exploring the Relationship between Dirty and Green Cryptocurrencies and Clean Energy Stock Indices","authors":"Rui Dias, Mariana Chambino, Rosa Galvão, Paulo Alexandre, Mohammad Irfan","doi":"10.32479/ijeep.15873","DOIUrl":"https://doi.org/10.32479/ijeep.15873","url":null,"abstract":"This study aimed to assess whether renewable energy cryptocurrencies such as Cardano (ADA), Ripple (XRP), IOTA (MIOTA), and Stellar (XLM) can be considered hedging assets and safe havens for cryptocurrencies classified as \"dirty\", such as Bitcoin Cash (BCH), Bitcoin (BTC) Litcoin (LTC), Ethereum (ETH), Ethereum Classic (ETC) and the clean energy stock indices WILDERHILL Clean Energy (ECO) and Clean Energy Fuels (CLNE), from July 6, 2018, to July 6, 2023. The results show that the movements decreased significantly during the Stress period, which includes the events of 2020 and 2022. The Cardano cryptocurrency shows moderate movements, indicating stability and diversification, while Stellar shows moderate movements that suggest resilience. Conversely, XRP shows varied movements, requiring some caution, while IOTA stands out for significant movements associated with sustainable assets. These results interest players operating in these markets when they want to diversify and rebalance their portfolios.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140999324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Winwin Yadiati, Meiryani Meiryani, A. Lindawati, D. Wahyuningtias, Zaidi Mat Daud, Lusianah Lusianah
Globally, people are becoming more interested in the issue of climate change, particularly as it relates to carbon emissions. Stakeholders are putting pressure on firms to disclose more details about their ecological footprints and greenhouse gas emissions. Finding authors, publications, journals, and discoveries in the literature on emission carbon disclosure is the aim of this endeavor. To do this, we employ a review methodology that makes use of the bibliometric study technique to pinpoint a few pertinent elements found in the literature. Utilizing tools such as VOSviewer and biblioshiny from RStudio, we examine output by year, authors, articles, and publications that have received more citations. We outline the key developments in the field of carbon disclosure together with the most widely applied ideas. Furthermore, we formulate the notion of carbon disclosure as suggested by Borghei (2021), concentrating on six domains and primary patterns within the field: Provide answers to the following questions: strategic climate, carbon disclosure determinants, carbon disclosure guarantee, quality of carbon disclosure, and carbon disclosure consequences. The incorporation of sustainability dimensions into the reporting system has replaced the evaluation techniques of the disclosures as the research issue. It is discovered that a number of factors influence the corporation's choice to release its environmental accounting information. Based on its findings and analysis of current research trends and themes, this study offers suggestions for further investigation.
{"title":"Exploring Carbon Disclosure Research for Future Research Agenda: A Bibliometric Analysis","authors":"Winwin Yadiati, Meiryani Meiryani, A. Lindawati, D. Wahyuningtias, Zaidi Mat Daud, Lusianah Lusianah","doi":"10.32479/ijeep.15452","DOIUrl":"https://doi.org/10.32479/ijeep.15452","url":null,"abstract":"Globally, people are becoming more interested in the issue of climate change, particularly as it relates to carbon emissions. Stakeholders are putting pressure on firms to disclose more details about their ecological footprints and greenhouse gas emissions. Finding authors, publications, journals, and discoveries in the literature on emission carbon disclosure is the aim of this endeavor. To do this, we employ a review methodology that makes use of the bibliometric study technique to pinpoint a few pertinent elements found in the literature. Utilizing tools such as VOSviewer and biblioshiny from RStudio, we examine output by year, authors, articles, and publications that have received more citations. We outline the key developments in the field of carbon disclosure together with the most widely applied ideas. Furthermore, we formulate the notion of carbon disclosure as suggested by Borghei (2021), concentrating on six domains and primary patterns within the field: Provide answers to the following questions: strategic climate, carbon disclosure determinants, carbon disclosure guarantee, quality of carbon disclosure, and carbon disclosure consequences. The incorporation of sustainability dimensions into the reporting system has replaced the evaluation techniques of the disclosures as the research issue. It is discovered that a number of factors influence the corporation's choice to release its environmental accounting information. Based on its findings and analysis of current research trends and themes, this study offers suggestions for further investigation.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140998318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
John Bbale Mayanja, Brian Arinaitwe, Ronald Kasaijja, John Mutenyo, Edward Damulira Ssengonzi
Environmental degradation is attributed to human activities associated with economic development. This study examines renewable energy consumption (REC), financial development (FD), trade openness, and environmental quality nexus in Uganda over the period 1990-2019 using the Autoregressive Distribution Lag (ARDL). Findings show that REC improves environmental quality both in the short and long run. In addition, while trade openness is negatively related to environmental quality in the short and long run, a negative correlation exists between FD and environmental quality only in the long run. Furthermore, economic growth has a positive relationship with environmental quality in the short run while in the long run, GDP2 improves environmental quality. However, the results from the study find no statistical relationship between FDI and environmental quality, and thus neither the pollution haven nor pollution halo hypotheses are confirmed in the Ugandan case. This paper does not only recommend investing more in renewable energy development to improve the quality of the environment but also in financial sector development to support investments that promote a low-carbon and green economy.
{"title":"The Nexus Between Renewable Energy Consumption, Financial Development, and Trade Openness Based on Environmental Quality in Uganda: An Application of the ARDL","authors":"John Bbale Mayanja, Brian Arinaitwe, Ronald Kasaijja, John Mutenyo, Edward Damulira Ssengonzi","doi":"10.32479/ijeep.15023","DOIUrl":"https://doi.org/10.32479/ijeep.15023","url":null,"abstract":"Environmental degradation is attributed to human activities associated with economic development. This study examines renewable energy consumption (REC), financial development (FD), trade openness, and environmental quality nexus in Uganda over the period 1990-2019 using the Autoregressive Distribution Lag (ARDL). Findings show that REC improves environmental quality both in the short and long run. In addition, while trade openness is negatively related to environmental quality in the short and long run, a negative correlation exists between FD and environmental quality only in the long run. Furthermore, economic growth has a positive relationship with environmental quality in the short run while in the long run, GDP2 improves environmental quality. However, the results from the study find no statistical relationship between FDI and environmental quality, and thus neither the pollution haven nor pollution halo hypotheses are confirmed in the Ugandan case. This paper does not only recommend investing more in renewable energy development to improve the quality of the environment but also in financial sector development to support investments that promote a low-carbon and green economy.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 52","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohamed F. Abd El-Aal, Marwa Samir Hegazy Hegazy, Abdelsamiea Tahsin Abdelsamiea
This study employs machine-learning algorithms (ML), specifically Random Forest (RF) and Gradient Boosting (GB), to assess the impact of various factors, including Gross Domestic Product (GDP) growth, urbanization, and energy consumption, on carbon dioxide emissions (CO2). The research underscores the RF algorithm's superior accuracy in determining independent variables' influence on CO2 emissions compared to GB. Furthermore, the study reveals that natural gas is the most significant contributor to CO2 emissions in Egypt, accounting for 49.7% of the total, followed closely by oil at 46.7%. The effect of other variables on CO2 emissions is relatively minimal. The findings also establish a strong positive correlation between the consumption of natural gas, oil, and coal and CO2 emissions in Egypt. Additionally, a negative relationship is observed between GDP growth, suggesting a positive trend in environmentally friendly economic expansion and urbanization on CO2 emissions in Egypt. This unique scenario, where urban expansion appears to have an inverse relationship with CO2 emissions, sets Egypt apart from many other countries and signifies a favorable environmental outcome.
{"title":"Role of Economic Expansion, Energy Utilization and Urbanization on Climate Change in Egypt based on Artificial Intelligence","authors":"Mohamed F. Abd El-Aal, Marwa Samir Hegazy Hegazy, Abdelsamiea Tahsin Abdelsamiea","doi":"10.32479/ijeep.15607","DOIUrl":"https://doi.org/10.32479/ijeep.15607","url":null,"abstract":"This study employs machine-learning algorithms (ML), specifically Random Forest (RF) and Gradient Boosting (GB), to assess the impact of various factors, including Gross Domestic Product (GDP) growth, urbanization, and energy consumption, on carbon dioxide emissions (CO2). The research underscores the RF algorithm's superior accuracy in determining independent variables' influence on CO2 emissions compared to GB. Furthermore, the study reveals that natural gas is the most significant contributor to CO2 emissions in Egypt, accounting for 49.7% of the total, followed closely by oil at 46.7%. The effect of other variables on CO2 emissions is relatively minimal. The findings also establish a strong positive correlation between the consumption of natural gas, oil, and coal and CO2 emissions in Egypt. Additionally, a negative relationship is observed between GDP growth, suggesting a positive trend in environmentally friendly economic expansion and urbanization on CO2 emissions in Egypt. This unique scenario, where urban expansion appears to have an inverse relationship with CO2 emissions, sets Egypt apart from many other countries and signifies a favorable environmental outcome.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140999123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study explores consumer perceptions of smart energy systems, delving into both the perceived benefits and risks associated with their adoption and usage. This study addresses a crucial gap in understanding the consumer side of smart energy system implementation. Through ordinal logistic regression analysis, the study examines the relationship between various independent variables and an ordinal dependent variable represented on a Likert scale. The findings highlight a significant consumer emphasis on 'Safe Energy System Construction' and 'Economic Benefits,' including 'Home Energy Saving' and 'New Profit Creation.' However, the perceived benefits and risks are influenced by these factors and individual propensities, such as sensitivity to environmental destruction and acceptance of new technology. The study uncovers new areas of concern, exceptionally high energy consumption and the 'Uncertainty of Electricity Rates,' which have not been extensively addressed in previous research. The conclusions drawn from this study suggest a need for balanced policy-making that fosters technological advancement while addressing consumer apprehensions about energy consumption, rate volatility, and privacy. This study contributes to the broader discourse on technology acceptance and the sustainable implementation of smart energy solutions by providing a nuanced understanding of consumer perceptions in the evolving landscape of smart energy systems.
{"title":"Study on Consumers’ Perceived Benefits and Risks of Smart Energy System","authors":"Chankook Park, Wan Gyu Heo, Myung Eun Lee","doi":"10.32479/ijeep.15687","DOIUrl":"https://doi.org/10.32479/ijeep.15687","url":null,"abstract":"This study explores consumer perceptions of smart energy systems, delving into both the perceived benefits and risks associated with their adoption and usage. This study addresses a crucial gap in understanding the consumer side of smart energy system implementation. Through ordinal logistic regression analysis, the study examines the relationship between various independent variables and an ordinal dependent variable represented on a Likert scale. The findings highlight a significant consumer emphasis on 'Safe Energy System Construction' and 'Economic Benefits,' including 'Home Energy Saving' and 'New Profit Creation.' However, the perceived benefits and risks are influenced by these factors and individual propensities, such as sensitivity to environmental destruction and acceptance of new technology. The study uncovers new areas of concern, exceptionally high energy consumption and the 'Uncertainty of Electricity Rates,' which have not been extensively addressed in previous research. The conclusions drawn from this study suggest a need for balanced policy-making that fosters technological advancement while addressing consumer apprehensions about energy consumption, rate volatility, and privacy. This study contributes to the broader discourse on technology acceptance and the sustainable implementation of smart energy solutions by providing a nuanced understanding of consumer perceptions in the evolving landscape of smart energy systems.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140998676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research aims to determine and analyze the effect of Coal Consumption per capita (Kwh), Oil Consumption per capita (Kwh), Gas Consumption per capita (Kwh), and Renewable energy consumption per capita (Kwh) towards GDP per capita (current US$). This research uses GDP Per Capita (current USD) data sourced from world banks with a period from 1994 to 2021 and Data for Coal Consumption per capita (Kwh), Oil Consumption per capita (Kwh), Gas Consumption per capita (Kwh), and Renewable energy consumption per capita (Kwh) from Our Wold within a period from 1994 to 2021. The data used is data from 11 Asian countries, which is Mainland China, The Republic of Korea, Japan, India, Bangladesh, Pakistan, Thailand, Indonesia, Malaysia, Philippines, and Viet Nam. The analysis method used is Panel Data Econometrics, with Ordinary Least Square and Fixed Effect Model. The result from this research shows that Oil Consumption per capita (Kwh), Coal consumption per capita (Kwh), Gas Consumption per capita (Kwh), and Renewable energy consumption per capita (Kwh) have a positive significant effect towards GDP per capita (current USD).
{"title":"The Effect of Energy Consumption Towards Economic Growth: The Case of 11 Asian Countries","authors":"Y. Susilo, Matthew Kartawinata, J. Herawan","doi":"10.32479/ijeep.15676","DOIUrl":"https://doi.org/10.32479/ijeep.15676","url":null,"abstract":"\u0000\u0000\u0000This research aims to determine and analyze the effect of Coal Consumption per capita (Kwh), Oil Consumption per capita (Kwh), Gas Consumption per capita (Kwh), and Renewable energy consumption per capita (Kwh) towards GDP per capita (current US$). This research uses GDP Per Capita (current USD) data sourced from world banks with a period from 1994 to 2021 and Data for Coal Consumption per capita (Kwh), Oil Consumption per capita (Kwh), Gas Consumption per capita (Kwh), and Renewable energy consumption per capita (Kwh) from Our Wold within a period from 1994 to 2021. The data used is data from 11 Asian countries, which is Mainland China, The Republic of Korea, Japan, India, Bangladesh, Pakistan, Thailand, Indonesia, Malaysia, Philippines, and Viet Nam. The analysis method used is Panel Data Econometrics, with Ordinary Least Square and Fixed Effect Model. The result from this research shows that Oil Consumption per capita (Kwh), Coal consumption per capita (Kwh), Gas Consumption per capita (Kwh), and Renewable energy consumption per capita (Kwh) have a positive significant effect towards GDP per capita (current USD).\u0000\u0000\u0000","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 61","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141000599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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