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2021 | OriginalPaper | Chapter

A Panel Data Analysis of the Electric Mobility Deployment in the European Union

Authors: Sarah B. Gruetzmacher, Clara B. Vaz, Ângela P. Ferreira

Published in: Optimization, Learning Algorithms and Applications

Publisher: Springer International Publishing

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Abstract

Governments 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.
Footnotes
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Metadata
Title
A Panel Data Analysis of the Electric Mobility Deployment in the European Union
Authors
Sarah B. Gruetzmacher
Clara B. Vaz
Ângela P. Ferreira
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-91885-9_41

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