Dynamic effect of disaggregated level electricity generation on residential carbon emissions: Daily inference from the largest EU economies

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dc.authoridalola, andrew/0000-0001-5355-3707
dc.authoridKartal, Mustafa Tevfik/0000-0001-8038-8241
dc.contributor.authorPata, Ugur Korkut
dc.contributor.authorKartal, Mustafa Tevfik
dc.contributor.authorAlola, Andrew Adewale
dc.contributor.authorDepren, Serpil Kilic
dc.date.accessioned2024-09-18T20:55:45Z
dc.date.available2024-09-18T20:55:45Z
dc.date.issued2024
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractThis study examines the dynamic effects of electricity generation (EG) on CO2 emissions from the residential sector. The study focuses on the EU-4 countries (Germany, Spain, France, and Italy), considers residential CO2 emissions as the dependent variable, and includes disaggregated level fossil and renewable EG as explanatory variables. In this context, the study runs nonlinear quantile-on-quantile (QQ) regression and Granger causality in quantiles (GQ) as the main models with daily data from January 2, 2019, to March 10, 2023, while quantile regression (QR) is used for robustness check. The findings present that in terms of CO2 emissions: (i) EG from coal, natural gas, and oil has a stimulating effect at higher quantiles in all countries; (ii) EG from hydro has an increasing effect at higher quantiles, while it has a decreasing effect at lower and middle quantiles in all countries except France; (iii) EG from solar has a dampening effect at higher quantiles in all countries except France; (iv) EG from wind has a declining effect at higher quantiles in both Spain and France; (v) both fossil and renewable energy EG have a causal effect on residential sector CO2 emissions at the disaggregated level except at some quantiles. Overall, the effect size and the causal effect of EG on CO2 emissions change for quantiles, countries, and EG sources. Therefore, the study proposes to rely on the specific EG sources for Germany and Italy (solar energy), Spain, and France (wind energy) to mitigate climate change by reducing residential CO2 emissions.en_US
dc.identifier.doi10.1016/j.esr.2024.101363
dc.identifier.issn2211-467X
dc.identifier.issn2211-4688
dc.identifier.scopus2-s2.0-85189427424en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.esr.2024.101363
dc.identifier.urihttps://hdl.handle.net/20.500.12483/12030
dc.identifier.volume53en_US
dc.identifier.wosWOS:001225288200001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEnergy Strategy Reviewsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectResidential sectoren_US
dc.subjectRenewable electricityen_US
dc.subjectFossil electricityen_US
dc.subjectEuropean countriesen_US
dc.subjectNonlinear approachesen_US
dc.titleDynamic effect of disaggregated level electricity generation on residential carbon emissions: Daily inference from the largest EU economiesen_US
dc.typeArticleen_US

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