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

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Optimization, Learning Algorithms and Applications (OL2A 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1488))

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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.

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Notes

  1. 1.

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Acknowledgments

This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020.

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Authors and Affiliations

  1. Research Centre in Digitalization and Intelligent Robotics (CeDRI), Instituto Politécnico de Bragança (IPB), Campus Santa Apolónia, 5300-253, Bragança, Portugal

    Sarah B. Gruetzmacher, Clara B. Vaz & Ângela P. Ferreira

  2. Centre for Management and Industrial Engineering (CEGI/INESC TEC), Porto, Portugal

    Clara B. Vaz

Authors
  1. Sarah B. Gruetzmacher
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  2. Clara B. Vaz
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  3. Ângela P. Ferreira
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Corresponding author

Correspondence to Clara B. Vaz .

Editor information

Editors and Affiliations

  1. Instituto Politécnico de Bragança, Bragança, Portugal

    Ana I. Pereira

  2. Instituto Politécnico de Bragança, Bragança, Portugal

    Florbela P. Fernandes

  3. Instituto Politécnico de Bragança, Bragança, Portugal

    João P. Coelho

  4. Instituto Politécnico de Bragança, Bragança, Portugal

    João P. Teixeira

  5. Instituto Politécnico de Bragança, Bragança, Portugal

    Maria F. Pacheco

  6. Instituto Politécnico de Bragança, Bragança, Portugal

    Paulo Alves

  7. Instituto Politécnico de Bragança, Bragança, Portugal

    Rui P. Lopes

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Gruetzmacher, S.B., Vaz, C.B., Ferreira, Â.P. (2021). A Panel Data Analysis of the Electric Mobility Deployment in the European Union. In: Pereira, A.I., et al. Optimization, Learning Algorithms and Applications. OL2A 2021. Communications in Computer and Information Science, vol 1488. Springer, Cham. https://doi.org/10.1007/978-3-030-91885-9_41

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  • DOI: https://doi.org/10.1007/978-3-030-91885-9_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91884-2

  • Online ISBN: 978-3-030-91885-9

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