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CO2 Emissions from Renewable and Non-Renewable Electricity Generation Sources in the G7 Countries: Static and Dynamic Panel Assessment

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dc.citedby68
dc.contributor.authorVoumik L.C.en_US
dc.contributor.authorIslam M.A.en_US
dc.contributor.authorRay S.en_US
dc.contributor.authorMohamed Yusop N.Y.en_US
dc.contributor.authorRidzuan A.R.en_US
dc.contributor.authorid58529725000en_US
dc.contributor.authorid58268799000en_US
dc.contributor.authorid57291201100en_US
dc.contributor.authorid55812094300en_US
dc.contributor.authorid57201919567en_US
dc.date.accessioned2024-10-14T03:19:39Z
dc.date.available2024-10-14T03:19:39Z
dc.date.issued2023
dc.description.abstractThe 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo1044
dc.identifier.doi10.3390/en16031044
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85147908254
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85147908254&doi=10.3390%2fen16031044&partnerID=40&md5=7c88fb332fe7496e19cf611a16cdd3fb
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34419
dc.identifier.volume16
dc.publisherMDPIen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.relation.ispartofGreen Open Access
dc.sourceScopus
dc.sourcetitleEnergies
dc.subjectclimate change
dc.subjectCO<sub>2</sub> emissions
dc.subjectelectricity production sources
dc.subjectenergy consumption
dc.subjectG7
dc.subjectCarbon dioxide
dc.subjectCoal fired power plant
dc.subjectEnergy utilization
dc.subjectFossil fuel power plants
dc.subjectGas emissions
dc.subjectGlobal warming
dc.subjectMethod of moments
dc.subjectPower generation
dc.subjectRandom processes
dc.subjectRegression analysis
dc.subjectCO 2 emission
dc.subjectElectricity production
dc.subjectElectricity production source
dc.subjectEnergy source
dc.subjectEnergy-consumption
dc.subjectFixed effects
dc.subjectG7
dc.subjectGeneralized method of moments
dc.subjectQuantile regression
dc.subjectRandom effects
dc.subjectCoal
dc.titleCO2 Emissions from Renewable and Non-Renewable Electricity Generation Sources in the G7 Countries: Static and Dynamic Panel Assessmenten_US
dc.typeArticleen_US
dspace.entity.typePublication
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