Effect of Battery Electric Vehicles on Greenhouse Gas Emissions in 29 European Union Countries

Bibliographic Details
Main Author: Fuinhas, José Alberto
Publication Date: 2021
Other Authors: Koengkan, Matheus, Leitão, Nuno Carlos, Nwani, Chinazaekpere, Uzuner, Gizem, Dehdar, Fatemeh, Relva, Stefania, Peyerl, Drielli
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10316/105484
https://doi.org/10.3390/su132413611
Summary: 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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spelling 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/articlehttps://hdl.handle.net/10316/105484https://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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-25T10:40:11Zoai:estudogeral.uc.pt:10316/105484Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:55:57.225164Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/10316/105484
https://hdl.handle.net/10316/105484
https://doi.org/10.3390/su132413611
url https://hdl.handle.net/10316/105484
https://doi.org/10.3390/su132413611
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 2071-1050
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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