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Impact of Electric Vehicle Adoption on Electricity Consumption and Generation: Evidence from California

Author

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  • Atia Ferdousee

    (Department of General Services, City of Norfolk Government, Norfolk, Virginia, USA.)

Abstract

The market share of electric vehicles (EV) is growing in the USA, and there are substantial numbers of federal, and state-level incentives for EV consumers. These incentives are in place primarily due to environmental concerns. This study focuses on two interrelated aspects of EV adoption. First, using monthly county-level data from 2010 to 2019, this study reveals that electric vehicles and their supportive infrastructures, such as charging stations, have a significant effect on residential and commercial electricity consumption in California. Second, analyzing electricity generation information by county, this study finds a significant negative relation between electricity usage and the share of electricity that comes from renewable sources. Although EVs emit lower pollutants than conventional vehicles, they require a significant amount of electricity for charging. If the electricity generation doesn t involve renewable or cleaner sources, public spending on EV may not contribute to a cleaner environment as much as expected.

Suggested Citation

  • Atia Ferdousee, 2022. "Impact of Electric Vehicle Adoption on Electricity Consumption and Generation: Evidence from California," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 101-110, September.
  • Handle: RePEc:eco:journ2:2022-05-12
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    References listed on IDEAS

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    1. Hung, Ming-Feng & Huang, Tai-Hsin, 2015. "Dynamic demand for residential electricity in Taiwan under seasonality and increasing-block pricing," Energy Economics, Elsevier, vol. 48(C), pages 168-177.
    2. Anders Skonhoft & Bjart Holtsmark, 2014. "The Norwegian support and subsidy of electric cars. Should it be adopted by other countries?," Working Paper Series 15814, Department of Economics, Norwegian University of Science and Technology.
    3. Foley, Aoife & Tyther, Barry & Calnan, Patrick & Ó Gallachóir, Brian, 2013. "Impacts of Electric Vehicle charging under electricity market operations," Applied Energy, Elsevier, vol. 101(C), pages 93-102.
    4. Yu-Wen Su, 2020. "Residential electricity demand in Taiwan: the effects of urbanization and energy poverty," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 25(4), pages 733-756, October.
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    Cited by:

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    More about this item

    Keywords

    Electric vehicle adoption; Electricity consumption; Renewable electricity;
    All these keywords.

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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