CO2 Emissions from Renewable and Non-Renewable Electricity Generation Sources in the G7 Countries: Static and Dynamic Panel Assessment
The threat of global warming has increased due to industrialization, urbanization, population expansion, and changes in lifestyle among the Group of Seven(G7) Carbon dioxide emissions (CO2) directly affect how much electricity can be generated from various sources. This research aims to identify env...
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my.uniten.dspace-344192024-10-14T11:19:39Z CO2 Emissions from Renewable and Non-Renewable Electricity Generation Sources in the G7 Countries: Static and Dynamic Panel Assessment Voumik L.C. Islam M.A. Ray S. Mohamed Yusop N.Y. Ridzuan A.R. 58529725000 58268799000 57291201100 55812094300 57201919567 climate change CO<sub>2</sub> emissions electricity production sources energy consumption G7 Carbon dioxide Coal fired power plant Energy utilization Fossil fuel power plants Gas emissions Global warming Method of moments Power generation Random processes Regression analysis CO 2 emission Electricity production Electricity production source Energy source Energy-consumption Fixed effects G7 Generalized method of moments Quantile regression Random effects Coal The threat of global warming has increased due to industrialization, urbanization, population expansion, and changes in lifestyle among the Group of Seven(G7) Carbon dioxide emissions (CO2) directly affect how much electricity can be generated from various sources. This research aims to identify environmental hazards associated with various energy sources. Analyzing the impact of various energy sources on CO2 emissions from electricity and heat production using data from the G7. The data is analyzed using quantile regression (QR), generalized method of moments (GMM), random effects (RE), and fixed effects (FE). Our results indicate a substantial positive impact on CO2 emissions regardless of the technology used to generate coal and gas power. Coal-fired power plants have a larger impact on the environment than other sources of emissions. Also, all coal and gas coefficients are significant in FE, RE, GMM, and QR. Oil coefficients have a negative impact on environmental degradation and are significant for FE, RE, and D-GMM regressions. Hydroelectric and renewable energy production can reduce CO2 emissions in all regression models. Nuclear energy has a beneficial impact on the environment, but the coefficients are only significant for S-GMM and the last quantile. However, the most significant result of this study is the identification of a cause-and-effect relationship between CO2 emissions and energy production. Carbon dioxide (CO2) emissions can be lowered by shifting away from fossil fuels and toward renewable and hydroelectric sources. The research also suggests several renewable and alternative electricity production policies for sustainable energy. � 2023 by the authors. Final 2024-10-14T03:19:39Z 2024-10-14T03:19:39Z 2023 Article 10.3390/en16031044 2-s2.0-85147908254 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147908254&doi=10.3390%2fen16031044&partnerID=40&md5=7c88fb332fe7496e19cf611a16cdd3fb https://irepository.uniten.edu.my/handle/123456789/34419 16 3 1044 All Open Access Gold Open Access Green Open Access MDPI Scopus |
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climate change CO<sub>2</sub> emissions electricity production sources energy consumption G7 Carbon dioxide Coal fired power plant Energy utilization Fossil fuel power plants Gas emissions Global warming Method of moments Power generation Random processes Regression analysis CO 2 emission Electricity production Electricity production source Energy source Energy-consumption Fixed effects G7 Generalized method of moments Quantile regression Random effects Coal |
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climate change CO<sub>2</sub> emissions electricity production sources energy consumption G7 Carbon dioxide Coal fired power plant Energy utilization Fossil fuel power plants Gas emissions Global warming Method of moments Power generation Random processes Regression analysis CO 2 emission Electricity production Electricity production source Energy source Energy-consumption Fixed effects G7 Generalized method of moments Quantile regression Random effects Coal Voumik L.C. Islam M.A. Ray S. Mohamed Yusop N.Y. Ridzuan A.R. CO2 Emissions from Renewable and Non-Renewable Electricity Generation Sources in the G7 Countries: Static and Dynamic Panel Assessment |
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The threat of global warming has increased due to industrialization, urbanization, population expansion, and changes in lifestyle among the Group of Seven(G7) Carbon dioxide emissions (CO2) directly affect how much electricity can be generated from various sources. This research aims to identify environmental hazards associated with various energy sources. Analyzing the impact of various energy sources on CO2 emissions from electricity and heat production using data from the G7. The data is analyzed using quantile regression (QR), generalized method of moments (GMM), random effects (RE), and fixed effects (FE). Our results indicate a substantial positive impact on CO2 emissions regardless of the technology used to generate coal and gas power. Coal-fired power plants have a larger impact on the environment than other sources of emissions. Also, all coal and gas coefficients are significant in FE, RE, GMM, and QR. Oil coefficients have a negative impact on environmental degradation and are significant for FE, RE, and D-GMM regressions. Hydroelectric and renewable energy production can reduce CO2 emissions in all regression models. Nuclear energy has a beneficial impact on the environment, but the coefficients are only significant for S-GMM and the last quantile. However, the most significant result of this study is the identification of a cause-and-effect relationship between CO2 emissions and energy production. Carbon dioxide (CO2) emissions can be lowered by shifting away from fossil fuels and toward renewable and hydroelectric sources. The research also suggests several renewable and alternative electricity production policies for sustainable energy. � 2023 by the authors. |
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58529725000 |
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58529725000 Voumik L.C. Islam M.A. Ray S. Mohamed Yusop N.Y. Ridzuan A.R. |
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Article |
author |
Voumik L.C. Islam M.A. Ray S. Mohamed Yusop N.Y. Ridzuan A.R. |
author_sort |
Voumik L.C. |
title |
CO2 Emissions from Renewable and Non-Renewable Electricity Generation Sources in the G7 Countries: Static and Dynamic Panel Assessment |
title_short |
CO2 Emissions from Renewable and Non-Renewable Electricity Generation Sources in the G7 Countries: Static and Dynamic Panel Assessment |
title_full |
CO2 Emissions from Renewable and Non-Renewable Electricity Generation Sources in the G7 Countries: Static and Dynamic Panel Assessment |
title_fullStr |
CO2 Emissions from Renewable and Non-Renewable Electricity Generation Sources in the G7 Countries: Static and Dynamic Panel Assessment |
title_full_unstemmed |
CO2 Emissions from Renewable and Non-Renewable Electricity Generation Sources in the G7 Countries: Static and Dynamic Panel Assessment |
title_sort |
co2 emissions from renewable and non-renewable electricity generation sources in the g7 countries: static and dynamic panel assessment |
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MDPI |
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2024 |
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1814061179880865792 |
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13.214268 |