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}
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}
S. Smagulova, B. Chereyeva, S. Zhakupova, Saule Intykbayeva, Bayan Abdulina, Taizhan Sarzhanov, Gulnar Abdulina, Aigerim Abeldanova
This scientific research is devoted to the analysis of the impact of the development of the energy industry on economic growth in Kazakhstan. The work assesses the economic development of the country using the example of a comparative analysis of the state of the GDP level from 2011 to 2023. Particular emphasis is placed on increasing industrial production of finished goods. It stands out here that to ensure economic growth, the rapid pace of development of the domestic energy sector is not enough. The study emphasizes that electricity generation mainly comes from thermal power plants using coal. There is a high level of equipment depreciation and wear and tear, which leads to significant harmful emissions, delivery losses and a decline in electricity generation. Some attention is paid to intensifying the construction of renewable energy sources. Here, an economic and mathematical model was built and forecasting was implemented in order to determine the factors affecting the growth of electricity generation in Kazakhstan. To solve energy shortage issues and achieve economic growth, an investment mechanism is proposed using the example of PPP infrastructure energy projects. In order to enhance the influx of investment in the reconstruction and construction of new Kazakh energy facilities, mutually beneficial cooperation between the state and business within the framework of PPP approaches is justified. Key problems are identified and measures for economic growth and stimulation of development of the energy complex are proposed. It is recommended to intensify investments in the construction of nuclear power plants, new renewable energy facilities and innovative power plants.
{"title":"Assessment of the Impact of Electric Power Production on the Economic Growth of Kazakhstan","authors":"S. Smagulova, B. Chereyeva, S. Zhakupova, Saule Intykbayeva, Bayan Abdulina, Taizhan Sarzhanov, Gulnar Abdulina, Aigerim Abeldanova","doi":"10.32479/ijeep.16036","DOIUrl":"https://doi.org/10.32479/ijeep.16036","url":null,"abstract":"This scientific research is devoted to the analysis of the impact of the development of the energy industry on economic growth in Kazakhstan. The work assesses the economic development of the country using the example of a comparative analysis of the state of the GDP level from 2011 to 2023. Particular emphasis is placed on increasing industrial production of finished goods. It stands out here that to ensure economic growth, the rapid pace of development of the domestic energy sector is not enough. The study emphasizes that electricity generation mainly comes from thermal power plants using coal. There is a high level of equipment depreciation and wear and tear, which leads to significant harmful emissions, delivery losses and a decline in electricity generation. Some attention is paid to intensifying the construction of renewable energy sources. Here, an economic and mathematical model was built and forecasting was implemented in order to determine the factors affecting the growth of electricity generation in Kazakhstan. To solve energy shortage issues and achieve economic growth, an investment mechanism is proposed using the example of PPP infrastructure energy projects. In order to enhance the influx of investment in the reconstruction and construction of new Kazakh energy facilities, mutually beneficial cooperation between the state and business within the framework of PPP approaches is justified. Key problems are identified and measures for economic growth and stimulation of development of the energy complex are proposed. It is recommended to intensify investments in the construction of nuclear power plants, new renewable energy facilities and innovative power plants.","PeriodicalId":38194,"journal":{"name":"International Journal of Energy Economics and Policy","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141673821","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}
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}
M. I. Haque, Mohammad Asif, M. Tausif, Mohd Naved Khan
Environmental concerns need to be addressed to make economic growth sustainable. Theories in the literature attempt to establish the relationship between economic growth and environmental degradation. These theories are not deterministic, as concepts like the inverted U-shaped or N-shaped Environmental Kuznets Curve (EKC) have yielded different results for different economies. This study attempts to validate the shape of the EKC and simultaneously test for an asymmetric relationship between economic growth and carbon dioxide emissions. To achieve this, the study uses the simple and non-linear Autoregressive Distributed Lag (ARDL) method on data from 1965 to 2021. The study finds evidence of an inverted U-shaped EKC but finds no evidence of an N-shaped EKC for India. Additionally, the study reports an asymmetric relationship between economic growth, energy consumption, and carbon dioxide emissions. Based on these findings, the study provides suitable policy recommendations.
要使经济增长具有可持续性，就必须解决环境问题。文献中的理论试图确定经济增长与环境退化之间的关系。这些理论并不是决定性的，因为倒 U 型或 N 型环境库兹涅茨曲线（EKC）等概念对不同的经济体产生了不同的结果。本研究试图验证环境库兹涅茨曲线的形状，同时检验经济增长与二氧化碳排放之间是否存在非对称关系。为此，本研究使用简单的非线性自回归分布滞后（ARDL）方法对 1965 年至 2021 年的数据进行了检验。研究发现了印度存在倒 U 型 EKC 的证据，但没有发现 N 型 EKC 的证据。此外，研究还报告了经济增长、能源消耗和二氧化碳排放之间的非对称关系。基于这些发现，研究提出了适当的政策建议。
{"title":"Investigating the Nature of Growth-Environment Relationship for India","authors":"M. I. Haque, Mohammad Asif, M. Tausif, Mohd Naved Khan","doi":"10.32479/ijeep.15074","DOIUrl":"https://doi.org/10.32479/ijeep.15074","url":null,"abstract":"\u0000\u0000\u0000Environmental concerns need to be addressed to make economic growth sustainable. Theories in the literature attempt to establish the relationship between economic growth and environmental degradation. These theories are not deterministic, as concepts like the inverted U-shaped or N-shaped Environmental Kuznets Curve (EKC) have yielded different results for different economies. This study attempts to validate the shape of the EKC and simultaneously test for an asymmetric relationship between economic growth and carbon dioxide emissions. To achieve this, the study uses the simple and non-linear Autoregressive Distributed Lag (ARDL) method on data from 1965 to 2021. The study finds evidence of an inverted U-shaped EKC but finds no evidence of an N-shaped EKC for India. Additionally, the study reports an asymmetric relationship between economic growth, energy consumption, and carbon dioxide emissions. Based on these findings, the study provides suitable policy recommendations.\u0000\u0000\u0000","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":"141676810","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}
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