Freddy Ronalde Camacho-Villagomez, Yanina Shegia Bajaña-Villagomez, Andrea Johanna Rodríguez-Bustos
This paper provides empirical evidence about the impact of oil price volatility on government spending, tax revenues, and economic growth for Ecuador. The effects are estimated via a MIDAS regression using quarterly and monthly data for the period 2004 to 2019. The results show that oil price volatility has a positive impact on government spending and tax revenues which is an indicative of a non-prudence behavior in fiscal policy. The impact of GDP is non-significant, contrary to economic intuition and previous studies. These findings have several policy implications that are consistent with the literature of fiscal policy in oil-exporting countries.
{"title":"Estimating the Impact of Oil Price Volatility on the Ecuadorian Economy: A MIDAS Approach","authors":"Freddy Ronalde Camacho-Villagomez, Yanina Shegia Bajaña-Villagomez, Andrea Johanna Rodríguez-Bustos","doi":"10.32479/ijeep.16285","DOIUrl":"https://doi.org/10.32479/ijeep.16285","url":null,"abstract":"This paper provides empirical evidence about the impact of oil price volatility on government spending, tax revenues, and economic growth for Ecuador. The effects are estimated via a MIDAS regression using quarterly and monthly data for the period 2004 to 2019. The results show that oil price volatility has a positive impact on government spending and tax revenues which is an indicative of a non-prudence behavior in fiscal policy. The impact of GDP is non-significant, contrary to economic intuition and previous studies. These findings have several policy implications that are consistent with the literature of fiscal policy in oil-exporting countries.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673933","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}
Carlos Ignacio Gallo Aguila, María del Pilar Castro Arellano, Marco Antonio Rodríguez Vega, E. M. Barturen Mondragón, M. D. P. Quezada Castro, Guillermo Alexander Quezada Castro
Greenwashing is a misleading practice that affects environmental sustainability and has an impact on the organizational, social, and environmental levels, as it is generated to create a non-real and illusory image of ecological responsibility. The present study conducted a review of the scientific production in the Scopus database, obtaining 1438 documents. Inclusion criteria were used and the PRISMA statement was used to guide the documentary analysis. Likewise, bibliometric tools such as VOSviewer and Biblioshiny were used. The results obtained show that the topic of study has grown exponentially in recent years and the keywords that stand out are corporate social responsibility, environmental communications and reporting, normative regulation, and implications at the financial, social, and ethical levels. There is also interest in consolidating new collaborative networks among authors, with the most cited paper being "The drivers of Greenwashing". It was concluded that greenwashing is a multidisciplinary phenomenon that requires attention from the scientific community and that it is the clients or consumers who perceive the lack of ethics and the absence of environmental commitment in organizations. Criminal liability arising from greenwashing is identified as a future line of research.
{"title":"Trends in Scientific Production on Greenwashing based on Scopus (1990-2023)","authors":"Carlos Ignacio Gallo Aguila, María del Pilar Castro Arellano, Marco Antonio Rodríguez Vega, E. M. Barturen Mondragón, M. D. P. Quezada Castro, Guillermo Alexander Quezada Castro","doi":"10.32479/ijeep.16281","DOIUrl":"https://doi.org/10.32479/ijeep.16281","url":null,"abstract":"Greenwashing is a misleading practice that affects environmental sustainability and has an impact on the organizational, social, and environmental levels, as it is generated to create a non-real and illusory image of ecological responsibility. The present study conducted a review of the scientific production in the Scopus database, obtaining 1438 documents. Inclusion criteria were used and the PRISMA statement was used to guide the documentary analysis. Likewise, bibliometric tools such as VOSviewer and Biblioshiny were used. The results obtained show that the topic of study has grown exponentially in recent years and the keywords that stand out are corporate social responsibility, environmental communications and reporting, normative regulation, and implications at the financial, social, and ethical levels. There is also interest in consolidating new collaborative networks among authors, with the most cited paper being \"The drivers of Greenwashing\". It was concluded that greenwashing is a multidisciplinary phenomenon that requires attention from the scientific community and that it is the clients or consumers who perceive the lack of ethics and the absence of environmental commitment in organizations. Criminal liability arising from greenwashing is identified as a future line of research.","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":"141676640","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}
The stage of economic development of a country will have an impact on the essence of life in welcoming changes in the economic pattern in the future. Especially in the energy sector, currently almost all countries are actively trying to achieve an energy transition to support the sustainability of a clean and orderly environment. Therefore, this research focuses renewable energy, environmental quality and energy consumption on economic growth in 30 developing countries using panel data model with a Fixed Effects Approach. The results show that renewable energy and environmental quality variables contribute significantly to economic growth, while energy consumption does not have a significant effect. At this stage, facilities for developing renewable energy must be expanded in terms of infrastructure capacity and financing so that they are supported by government policy. Then, macroeconomic variables such as foreign direct investment and population have a significant effect on economic growth, while trade oppenes and labor force variables do not have a significant effect on economic growth in developing countries, adding to the indication and reference of the importance of balance in achieving the energy transition and macroeconomic policies that have an impact on progress economy.
{"title":"Analysis of Renewable Energy, Environment Quality and Energy Consumption on Economic Growth: Evidence from Developing Countries","authors":"A. Satrianto, A. Ikhsan, K. A. Samad","doi":"10.32479/ijeep.15981","DOIUrl":"https://doi.org/10.32479/ijeep.15981","url":null,"abstract":"The stage of economic development of a country will have an impact on the essence of life in welcoming changes in the economic pattern in the future. Especially in the energy sector, currently almost all countries are actively trying to achieve an energy transition to support the sustainability of a clean and orderly environment. Therefore, this research focuses renewable energy, environmental quality and energy consumption on economic growth in 30 developing countries using panel data model with a Fixed Effects Approach. The results show that renewable energy and environmental quality variables contribute significantly to economic growth, while energy consumption does not have a significant effect. At this stage, facilities for developing renewable energy must be expanded in terms of infrastructure capacity and financing so that they are supported by government policy. Then, macroeconomic variables such as foreign direct investment and population have a significant effect on economic growth, while trade oppenes and labor force variables do not have a significant effect on economic growth in developing countries, adding to the indication and reference of the importance of balance in achieving the energy transition and macroeconomic policies that have an impact on progress economy.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675059","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}
Wellcome Peujio Jiotsop-Foze, A. Hernández-del-Valle, Francisco Venegas-Martínez
This research develops a new electric charge prediction method by using Convolutional Neural Networks with Quantile Regression (CNN-QR) combined with the Rainbow Technique for Categorical Features (RTCF) and using Deep Learning to create layers for the architecture of the neural network. This combination captures both local and global interdependencies within the load data. In particular, RTCF employs advanced natural language processing (NLP) techniques to convert several important categorical features into a single feature called “category,” which is tailored to the various attributes of the Baja California Sur system, in Mexico, taking into consideration climatic conditions, local circumstances and a significant increase in energy consumption. Furthermore, this research compares CNN-QR with classical quantile regression and shows that CNN-QR works better at capturing sophisticated load patterns and producing probabilistic estimates. The above methodology uses hourly data from January 2019 to October 2020. The results obtained provide valuable information for policy formulation in the energy sector, specifically in the areas of load forecasting and expansion of renewable energy and electricity consumption. Finally, it is worth mentioning that the utilization of CNN-QR with RTCF not only improves the accuracy of load forecasting, but also provides a strategic framework for energy management and resource planning in dynamic energy systems, which demonstrates its substantial importance for market participants and authorities, as well as regulators.
{"title":"Electrical Load Forecasting to Plan the Increase in Renewable Energy Sources and Electricity Demand: a CNN-QR-RTCF and Deep Learning Approach","authors":"Wellcome Peujio Jiotsop-Foze, A. Hernández-del-Valle, Francisco Venegas-Martínez","doi":"10.32479/ijeep.15773","DOIUrl":"https://doi.org/10.32479/ijeep.15773","url":null,"abstract":"This research develops a new electric charge prediction method by using Convolutional Neural Networks with Quantile Regression (CNN-QR) combined with the Rainbow Technique for Categorical Features (RTCF) and using Deep Learning to create layers for the architecture of the neural network. This combination captures both local and global interdependencies within the load data. In particular, RTCF employs advanced natural language processing (NLP) techniques to convert several important categorical features into a single feature called “category,” which is tailored to the various attributes of the Baja California Sur system, in Mexico, taking into consideration climatic conditions, local circumstances and a significant increase in energy consumption. Furthermore, this research compares CNN-QR with classical quantile regression and shows that CNN-QR works better at capturing sophisticated load patterns and producing probabilistic estimates. The above methodology uses hourly data from January 2019 to October 2020. The results obtained provide valuable information for policy formulation in the energy sector, specifically in the areas of load forecasting and expansion of renewable energy and electricity consumption. Finally, it is worth mentioning that the utilization of CNN-QR with RTCF not only improves the accuracy of load forecasting, but also provides a strategic framework for energy management and resource planning in dynamic energy systems, which demonstrates its substantial importance for market participants and authorities, as well as regulators.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":"188 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674277","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 analyzed Kazakhstan's Environmental Kuznets Curve hypothesis using the ARDL Boundary Value Approach method. The study focused on economic growth, energy production, agriculture, and industrial production variables in 2000-2022. The per capita national income variable represented economic growth, while CO2 emissions represented environmental quality. Energy consumption and production should be considered as they are interconnected in examining environmental quality and economic development. Therefore this study used the Kuznets hypothesis in a broader perspective by taking into account various factors such as agricultural and industrial production, as well as energy consumption. The results indicate that the square term of GDP in all four models is negative, which supports the Kuznets hypothesis for Kazakhstan. Furthermore, it is noteworthy that the inclusion of macro variables such as agricultural production, industrial production, and renewable energy consumption, in addition to GDP, does not alter the support for the Kuznets hypothesis. Models 2, 3, and 4 have shown that agricultural production does not have any impact on CO2 emissions. However, the same is not true for industrial production and renewable energy production, as they do have an impact. The study aimed to test the Kuznets hypothesis and reveal the impact of macro indicators on CO2 emissions. By doing so, the study not only provides useful information to country managers but also contributes to the literature by highlighting the relationships between environmental quality and macro variables.
{"title":"Examining the Environmental Kuznets Curve Hypothesis in Energy, Agriculture, and Industry Sectors: The Case of Kazakhstan","authors":"Gulmira Issayeva, E. Y. Zhussipova, G. A. Pazilov","doi":"10.32479/ijeep.16005","DOIUrl":"https://doi.org/10.32479/ijeep.16005","url":null,"abstract":"This study analyzed Kazakhstan's Environmental Kuznets Curve hypothesis using the ARDL Boundary Value Approach method. The study focused on economic growth, energy production, agriculture, and industrial production variables in 2000-2022. The per capita national income variable represented economic growth, while CO2 emissions represented environmental quality. Energy consumption and production should be considered as they are interconnected in examining environmental quality and economic development. Therefore this study used the Kuznets hypothesis in a broader perspective by taking into account various factors such as agricultural and industrial production, as well as energy consumption. The results indicate that the square term of GDP in all four models is negative, which supports the Kuznets hypothesis for Kazakhstan. Furthermore, it is noteworthy that the inclusion of macro variables such as agricultural production, industrial production, and renewable energy consumption, in addition to GDP, does not alter the support for the Kuznets hypothesis. Models 2, 3, and 4 have shown that agricultural production does not have any impact on CO2 emissions. However, the same is not true for industrial production and renewable energy production, as they do have an impact. The study aimed to test the Kuznets hypothesis and reveal the impact of macro indicators on CO2 emissions. By doing so, the study not only provides useful information to country managers but also contributes to the literature by highlighting the relationships between environmental quality and macro variables.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674769","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}
Stavros Kalogiannidis, S. Kontsas, Dimitrios Syndoukas, F. Chatzitheodoridis
This study explores the role of integrative mechanisms in facilitating zero emissions regional planning, acting as a catalyst for regional development within Europe. Utilizing a quantitative methodology and questionnaire, data were collected from 384 European regions, followed by rigorous statistical analysis. The findings highlight the significance of effective integrative mechanisms in achieving zero emissions, confirming a positive impact on regional development. The results show that Zero emissions regional planning positively impacts regional development. This study also notes that the presence of identifiable challenges (e.g., financial constraints, policy conflicts, technological gaps) significantly hinders the alignment of regional development objectives with zero-emissions targets. These results have substantial implications for stakeholders, emphasizing the need for a collaborative approach in regional planning and suggesting pathways for future research endeavors. Policymakers should pay particular attention to the challenges identified in the study, such as financial constraints, policy conflicts, technological gaps, and cultural resistance to change. Strategies should be developed to mitigate these challenges, including creating financial mechanisms to support zero-emissions initiatives, harmonizing policies at various levels of governance, investing in technology transfer and innovation, and implementing educational and awareness programs to change cultural attitudes.
{"title":"Integrative Mechanisms Towards Zero Emissions Regional Planning: An Enabler of Regional Development: A Case Study of Europe","authors":"Stavros Kalogiannidis, S. Kontsas, Dimitrios Syndoukas, F. Chatzitheodoridis","doi":"10.32479/ijeep.15604","DOIUrl":"https://doi.org/10.32479/ijeep.15604","url":null,"abstract":"This study explores the role of integrative mechanisms in facilitating zero emissions regional planning, acting as a catalyst for regional development within Europe. Utilizing a quantitative methodology and questionnaire, data were collected from 384 European regions, followed by rigorous statistical analysis. The findings highlight the significance of effective integrative mechanisms in achieving zero emissions, confirming a positive impact on regional development. The results show that Zero emissions regional planning positively impacts regional development. This study also notes that the presence of identifiable challenges (e.g., financial constraints, policy conflicts, technological gaps) significantly hinders the alignment of regional development objectives with zero-emissions targets. These results have substantial implications for stakeholders, emphasizing the need for a collaborative approach in regional planning and suggesting pathways for future research endeavors. Policymakers should pay particular attention to the challenges identified in the study, such as financial constraints, policy conflicts, technological gaps, and cultural resistance to change. Strategies should be developed to mitigate these challenges, including creating financial mechanisms to support zero-emissions initiatives, harmonizing policies at various levels of governance, investing in technology transfer and innovation, and implementing educational and awareness programs to change cultural attitudes.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674311","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}
Muhittin Kaplan, Mohammed Muntaka Abdul Rahman, Asad-ul-Islam Khan, Hasan Vergil
This paper investigates the triple impact of innovation, financial inclusion, and renewable energy consumption on the quality of the environment. The study employed data between 2007 and 2019 from selected emerging economies. Using the fixed effect, two-step GMM econometric method. The result found that financial inclusion and innovation have a positive relationship with carbon emissions, hence contributing to the reduction in the quality of the environment. Renewable energy consumption was found to reduce carbon emissions. Similarly, the interactive terms TPT*FIN, FIN*REN, and TPT*REN were all negatively related to carbon emissions. The study recommends that governments should increase financial instruments to support innovation that will enhance environmental quality. Additionally, governments should strengthen their environmental policies. Financial institutions should encourage firms to access green finance solutions. The value and originality of this study is the introduction of the interactive term, which throws more light on variables that affect the environment and through which channels. Moreso, there are few works with these interactive terms relative to emerging economies. Third, there are no previous studies that employed the fixed effect two-step GMM to analyze the impact of financial inclusion, technological innovation, and renewable energy consumption on environmental quality.
{"title":"The Triple Impact of Innovation, Financial Inclusion and Renewable Energy Consumption on Environmental Quality in Some Emerging Economies","authors":"Muhittin Kaplan, Mohammed Muntaka Abdul Rahman, Asad-ul-Islam Khan, Hasan Vergil","doi":"10.32479/ijeep.16008","DOIUrl":"https://doi.org/10.32479/ijeep.16008","url":null,"abstract":"This paper investigates the triple impact of innovation, financial inclusion, and renewable energy consumption on the quality of the environment. The study employed data between 2007 and 2019 from selected emerging economies. Using the fixed effect, two-step GMM econometric method. The result found that financial inclusion and innovation have a positive relationship with carbon emissions, hence contributing to the reduction in the quality of the environment. Renewable energy consumption was found to reduce carbon emissions. Similarly, the interactive terms TPT*FIN, FIN*REN, and TPT*REN were all negatively related to carbon emissions. The study recommends that governments should increase financial instruments to support innovation that will enhance environmental quality. Additionally, governments should strengthen their environmental policies. Financial institutions should encourage firms to access green finance solutions. The value and originality of this study is the introduction of the interactive term, which throws more light on variables that affect the environment and through which channels. Moreso, there are few works with these interactive terms relative to emerging economies. Third, there are no previous studies that employed the fixed effect two-step GMM to analyze the impact of financial inclusion, technological innovation, and renewable energy consumption on environmental quality.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674480","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}
The impact of limited access to electricity varies based on the population. Our team evaluates the degree of deprivation experienced by different groups in order to identify energy poverty. Through the use of a multi-criteria methodology such as TOPSIS and Shannon entropy methods, we then establish an energy poverty index. This index allows us to compare populations and determine which are better or worse off. Our research produces a Localized Energy Poverty Index, which outlines the various factors that contribute to the energy poverty of a specific population. The localized index identifies poverty within a group while the Energy Poverty index combines this information to provide an energy-specific index. This index is useful in determining the feasibility of improving electricity service provision.
{"title":"Localized Energy Poverty Index: A Case Study of Colombia","authors":"Angelica Gonzalez, Leonardo Rivera, D. Manotas","doi":"10.32479/ijeep.15931","DOIUrl":"https://doi.org/10.32479/ijeep.15931","url":null,"abstract":"\u0000The impact of limited access to electricity varies based on the population. Our team evaluates the degree of deprivation experienced by different groups in order to identify energy poverty. Through the use of a multi-criteria methodology such as TOPSIS and Shannon entropy methods, we then establish an energy poverty index. This index allows us to compare populations and determine which are better or worse off. Our research produces a Localized Energy Poverty Index, which outlines the various factors that contribute to the energy poverty of a specific population. The localized index identifies poverty within a group while the Energy Poverty index combines this information to provide an energy-specific index. This index is useful in determining the feasibility of improving electricity service provision. \u0000","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674851","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}
The energy industry drives all economic sectors and improves people's well-being. Energy supply reliability underpins national security, economic growth, and global stability. Energy use, especially electricity, affects GDP per capita. Power-to-weight ratio is energy consumption per person. The main purpose of the study, as used in the literature, is to investigate the relationship between carbon dioxide (CO2) emission and energy consumption, per capita gross domestic product for Azerbaijan using the Toda-Yamamoto causality test using annual data for the period 1991-2021. According to the results of the research, while there is no relationship between energy consumption and GDP, an increase in per capita income reduces CO2 emissions; it was also found that there is a unidirectional causality running from CO2 emissions to an increase in per capita income. An increase in energy consumption per capita leads to a decrease in CO2. However, there is bidirectional causality running both from energy consumption per capita to CO2 and from CO2 to per capita income. As a result, a 1% increase in energy consumption per capita causes a 0.946% increase in CO2. It has been determined that a 1% increase in gross domestic product per capita does not cause a 0.086% decrease in CO2.
{"title":"Empirical Findings on the Relationship of Energy Consumption, Gross Domestic Product Per Capita and Carbon Dioxide (CO2) Emissions","authors":"Alasgarova Aygun Agasalim","doi":"10.32479/ijeep.14062","DOIUrl":"https://doi.org/10.32479/ijeep.14062","url":null,"abstract":"The energy industry drives all economic sectors and improves people's well-being. Energy supply reliability underpins national security, economic growth, and global stability. Energy use, especially electricity, affects GDP per capita. Power-to-weight ratio is energy consumption per person. The main purpose of the study, as used in the literature, is to investigate the relationship between carbon dioxide (CO2) emission and energy consumption, per capita gross domestic product for Azerbaijan using the Toda-Yamamoto causality test using annual data for the period 1991-2021. According to the results of the research, while there is no relationship between energy consumption and GDP, an increase in per capita income reduces CO2 emissions; it was also found that there is a unidirectional causality running from CO2 emissions to an increase in per capita income. An increase in energy consumption per capita leads to a decrease in CO2. However, there is bidirectional causality running both from energy consumption per capita to CO2 and from CO2 to per capita income. As a result, a 1% increase in energy consumption per capita causes a 0.946% increase in CO2. It has been determined that a 1% increase in gross domestic product per capita does not cause a 0.086% decrease in CO2.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 43","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673435","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}
Diana Margarita Vera Arroyo, Mariuxi Elizabeth Garcés Wila, José Gilberto Gilberto Argandoña Moreira, Francisco Abel Gresely Santi, Jonathan Patricio Cárdenas-Ruperti
Through an empirical analysis of the evolution of Ecuadorian consumers' interest in renewable energy and the factors influencing it, this study seeks to provide an understanding of the popularity and uptake of clean energy in a Latin American country with a significant renewable energy sector. Relevant data on economic and socio-environmental variables were collected and the effect of these variables on indicators of consumer interest in renewable energy was evaluated. The results indicate that Ecuadorian consumers' interest in renewable energy has shown a growth trend in recent years and is influenced by multiple factors, such as the relative production of renewable energy, energy prices and information about natural disasters. Overall, this research contributes to understanding the dynamics of public interest in renewable energy in developing economies such as Ecuador, emphasizing the importance of understanding the evolution of consumer perspective considering not only cost-benefit relationships but also responses to environmental events.
{"title":"Evolution and Determinants of Consumer Interest in Renewable Energy in Ecuador: A Temporal Perspective","authors":"Diana Margarita Vera Arroyo, Mariuxi Elizabeth Garcés Wila, José Gilberto Gilberto Argandoña Moreira, Francisco Abel Gresely Santi, Jonathan Patricio Cárdenas-Ruperti","doi":"10.32479/ijeep.16338","DOIUrl":"https://doi.org/10.32479/ijeep.16338","url":null,"abstract":"Through an empirical analysis of the evolution of Ecuadorian consumers' interest in renewable energy and the factors influencing it, this study seeks to provide an understanding of the popularity and uptake of clean energy in a Latin American country with a significant renewable energy sector. Relevant data on economic and socio-environmental variables were collected and the effect of these variables on indicators of consumer interest in renewable energy was evaluated. The results indicate that Ecuadorian consumers' interest in renewable energy has shown a growth trend in recent years and is influenced by multiple factors, such as the relative production of renewable energy, energy prices and information about natural disasters. Overall, this research contributes to understanding the dynamics of public interest in renewable energy in developing economies such as Ecuador, emphasizing the importance of understanding the evolution of consumer perspective considering not only cost-benefit relationships but also responses to environmental events.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 42","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141675349","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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