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Prospects for Electric Vehicles

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  • Jack N. Barkenbus

    (Vanderbilt Institute for Energy & Environment, Vanderbilt University, Nashville, TN 37240, USA)

Abstract

The transformation from conventional vehicles to electric vehicles is underway, but its timeline is still uncertain. The battle against climate change provides the essential backdrop, leading governments to encourage this transformation by providing both consumer incentives to purchase electric vehicles and by establishing regulations requiring automakers to produce them. Behind this prodding are a set of fundamental forces that both encourage and discourage consumer interest, as set forth in the text. Fortunately, intensive battery research and development is proceeding that should alter market forces and make electric vehicles more attractive to segments of the population not now in the market for an electric vehicle. Hence, even if the timeline for battery improvement cannot be predicted with certainty, continued government support, and upstart automakers, such as Tesla, should ensure that the transformation will proceed over time.

Suggested Citation

  • Jack N. Barkenbus, 2020. "Prospects for Electric Vehicles," Sustainability, MDPI, vol. 12(14), pages 1-13, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:14:p:5813-:d:386801
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    References listed on IDEAS

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    Cited by:

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    2. Isabel C. Gil-García & Mª Socorro García-Cascales & Habib Dagher & Angel Molina-García, 2021. "Electric Vehicle and Renewable Energy Sources: Motor Fusion in the Energy Transition from a Multi-Indicator Perspective," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    3. Kouridis, Ch & Vlachokostas, Ch, 2022. "Towards decarbonizing road transport: Environmental and social benefit of vehicle fleet electrification in urban areas of Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    4. Zhang, Xizheng & Wang, Zeyu & Lu, Zhangyu, 2022. "Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm," Applied Energy, Elsevier, vol. 306(PA).
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    6. Angelidou, M. & Politis, C. & Panori, A. & Bakratsas, T. & Fellnhofer, K., 2022. "Emerging smart city, transport and energy trends in urban settings: Results of a pan-European foresight exercise with 120 experts," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    7. Jaeyoung Lee & Farrukh Baig & Mir Aftab Hussain Talpur & Sajan Shaikh, 2021. "Public Intentions to Purchase Electric Vehicles in Pakistan," Sustainability, MDPI, vol. 13(10), pages 1-18, May.

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