Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/105484 https://doi.org/10.3390/su132413611 |
Resumo: | This analysis explored the effect of battery electric vehicles (BEVs) on greenhouse gas emissions (GHGs) in a panel of twenty-nine countries from the European Union (EU) from 2010 to 2020. The method of moments quantile regression (MM-QR) was used, and the ordinary least squares with fixed effects (OLSfe) was used to verify the robustness of the results. The MM-QR support that in all three quantiles, economic growth causes a positive impact on GHGs. In the 50th and 75th quantiles, energy consumption causes a positive effect on GHGs. BEVs in the 25th, 50th, and 75th quantiles have a negative impact on GHGs. The OLSfe reveals that economic growth has a negative effect on GHGs, which contradicts the results from MM-QR. Energy consumption positively impacts GHGs. BEVs negatively impacts GHGs. Although the EU has supported a more sustainable transport system, accelerating the adoption of BEVs still requires effective political planning to achieve net-zero emissions. Thus, BEVs are an important technology to reduce GHGs to achieve the EU targets of decarbonising the energy sector. This research topic can open policy discussion between industry, government, and researchers, towards ensuring that BEVs provide a climate change mitigation pathway in the EU region. |
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Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countriesbattery electric vehiclesgreenhouse gas emissionsenergy consumptionmethod of moments quantile regressionEuropean UnionThis analysis explored the effect of battery electric vehicles (BEVs) on greenhouse gas emissions (GHGs) in a panel of twenty-nine countries from the European Union (EU) from 2010 to 2020. The method of moments quantile regression (MM-QR) was used, and the ordinary least squares with fixed effects (OLSfe) was used to verify the robustness of the results. The MM-QR support that in all three quantiles, economic growth causes a positive impact on GHGs. In the 50th and 75th quantiles, energy consumption causes a positive effect on GHGs. BEVs in the 25th, 50th, and 75th quantiles have a negative impact on GHGs. The OLSfe reveals that economic growth has a negative effect on GHGs, which contradicts the results from MM-QR. Energy consumption positively impacts GHGs. BEVs negatively impacts GHGs. Although the EU has supported a more sustainable transport system, accelerating the adoption of BEVs still requires effective political planning to achieve net-zero emissions. Thus, BEVs are an important technology to reduce GHGs to achieve the EU targets of decarbonising the energy sector. This research topic can open policy discussion between industry, government, and researchers, towards ensuring that BEVs provide a climate change mitigation pathway in the EU region.MDPI2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/105484http://hdl.handle.net/10316/105484https://doi.org/10.3390/su132413611eng2071-1050Fuinhas, José AlbertoKoengkan, MatheusLeitão, Nuno CarlosNwani, ChinazaekpereUzuner, GizemDehdar, FatemehRelva, StefaniaPeyerl, Drielliinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-02T10:02:33Zoai:estudogeral.uc.pt:10316/105484Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:22:02.943499Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries |
title |
Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries |
spellingShingle |
Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries Fuinhas, José Alberto battery electric vehicles greenhouse gas emissions energy consumption method of moments quantile regression European Union |
title_short |
Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries |
title_full |
Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries |
title_fullStr |
Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries |
title_full_unstemmed |
Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries |
title_sort |
Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries |
author |
Fuinhas, José Alberto |
author_facet |
Fuinhas, José Alberto Koengkan, Matheus Leitão, Nuno Carlos Nwani, Chinazaekpere Uzuner, Gizem Dehdar, Fatemeh Relva, Stefania Peyerl, Drielli |
author_role |
author |
author2 |
Koengkan, Matheus Leitão, Nuno Carlos Nwani, Chinazaekpere Uzuner, Gizem Dehdar, Fatemeh Relva, Stefania Peyerl, Drielli |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Fuinhas, José Alberto Koengkan, Matheus Leitão, Nuno Carlos Nwani, Chinazaekpere Uzuner, Gizem Dehdar, Fatemeh Relva, Stefania Peyerl, Drielli |
dc.subject.por.fl_str_mv |
battery electric vehicles greenhouse gas emissions energy consumption method of moments quantile regression European Union |
topic |
battery electric vehicles greenhouse gas emissions energy consumption method of moments quantile regression European Union |
description |
This analysis explored the effect of battery electric vehicles (BEVs) on greenhouse gas emissions (GHGs) in a panel of twenty-nine countries from the European Union (EU) from 2010 to 2020. The method of moments quantile regression (MM-QR) was used, and the ordinary least squares with fixed effects (OLSfe) was used to verify the robustness of the results. The MM-QR support that in all three quantiles, economic growth causes a positive impact on GHGs. In the 50th and 75th quantiles, energy consumption causes a positive effect on GHGs. BEVs in the 25th, 50th, and 75th quantiles have a negative impact on GHGs. The OLSfe reveals that economic growth has a negative effect on GHGs, which contradicts the results from MM-QR. Energy consumption positively impacts GHGs. BEVs negatively impacts GHGs. Although the EU has supported a more sustainable transport system, accelerating the adoption of BEVs still requires effective political planning to achieve net-zero emissions. Thus, BEVs are an important technology to reduce GHGs to achieve the EU targets of decarbonising the energy sector. This research topic can open policy discussion between industry, government, and researchers, towards ensuring that BEVs provide a climate change mitigation pathway in the EU region. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/105484 http://hdl.handle.net/10316/105484 https://doi.org/10.3390/su132413611 |
url |
http://hdl.handle.net/10316/105484 https://doi.org/10.3390/su132413611 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2071-1050 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134110782849024 |