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A panel data analysis of the electric mobility deployment in the European Union

dc.contributor.authorGruetzmacher, Sarah
dc.contributor.authorVaz, Clara B.
dc.contributor.authorFerreira, Ângela P.
dc.date.accessioned2022-04-04T14:02:20Z
dc.date.available2022-04-04T14:02:20Z
dc.date.issued2021
dc.description.abstractGovernments all over the world have been promoting electric mobility as an effort to reduce the transport sector’s greenhouse emissions and fossil fuel dependency. This work analyses the deployment of electric vehicles in the European Union countries, between 2015 and 2019, and the variables that may influence it, using a panel data methodology. The present work focuses on the deployment of battery and plug-in hybrid electric vehicles, individually and jointly. Nine explanatory variables were included in the model: density of recharging points, gross domestic product per capita, cumulative number of policies on electromobility, share of renewable energy in transport, total greenhouse gas emissions per capita, tertiary education attainment, electricity price, employment rate and new registrations of passenger cars per capita. The results showed that the indicators influence differently the deployment of the different types of electric vehicles. The most significant factor driving the battery electric vehicles deployment was the density of recharging points, while for plug-in hybrid electric vehicles was the share of renewable energy. Policy makers should focus on adjusting actions to the demand for the different types of electric vehicles.pt_PT
dc.description.sponsorshipThis work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGruetzmacher, Sarah B.; Vaz, Clara B.; Ferreira, Ângela P. (2021). A panel data analysis of the electric mobility deployment in the European Union. In Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Pacheco, Maria F.; Alves, Paulo; Lopes, Rui Pedro (Eds.) Optimization, learning algorithms and applications: first International Conference, OL2A 2021. Cham: Springer Nature. p. 555-570. ISBN 978-3-030-91884-2pt_PT
dc.identifier.doi10.1007/978-3-030-91885-9_41pt_PT
dc.identifier.isbn978-3-030-91884-2
dc.identifier.urihttp://hdl.handle.net/10198/25329
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectElectric vehiclespt_PT
dc.subjectPanel datapt_PT
dc.subjectPooled modelpt_PT
dc.titleA panel data analysis of the electric mobility deployment in the European Unionpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceBragançapt_PT
oaire.citation.endPage570pt_PT
oaire.citation.startPage555pt_PT
oaire.citation.titleOptimization, learning algorithms and applications: first International Conference, OL2A 2021pt_PT
oaire.citation.volume1488pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameGruetzmacher
person.familyNameVaz
person.familyNameFerreira
person.givenNameSarah
person.givenNameClara B.
person.givenNameÂngela P.
person.identifierR-001-FQC
person.identifier.ciencia-id9611-3386-E516
person.identifier.ciencia-id2211-6787-D936
person.identifier.orcid0000-0002-1193-4461
person.identifier.orcid0000-0001-9862-6068
person.identifier.orcid0000-0002-1912-2556
person.identifier.ridF-1519-2016
person.identifier.ridM-8188-2013
person.identifier.scopus-author-id57216177941
person.identifier.scopus-author-id56352045500
person.identifier.scopus-author-id55516840300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication34bc350c-28d9-4b06-9874-b2b0dba58d1d
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