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Beyond monetary barriers to electric vehicle adoption: Evidence from observed usage of private and shared cars

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  • Habla, Wolfgang
  • Huwe, Vera
  • Kesternich, Martin

Abstract

We use car-level micro data to provide empirical evidence on the usage of conventional and electric vehicles (EVs) in private and car sharing fleets in Germany. We shed light on both monetary and non-monetary barriers to EV adoption and usage by exploiting the feature that variable costs are identical for shared vehicles but different for private car owners across engine types. While drivers respond to monetary incentives when using conventional cars, this does not hold for EVs. We find that EVs are, on average, driven shorter distances than conventional vehicles, both in terms of annual and single-day mileage, even if costs are identical. We also document that car sharing intensifies the usage of conventional cars but not that of EVs.

Suggested Citation

  • Habla, Wolfgang & Huwe, Vera & Kesternich, Martin, 2020. "Beyond monetary barriers to electric vehicle adoption: Evidence from observed usage of private and shared cars," ZEW Discussion Papers 20-026, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:20026
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    References listed on IDEAS

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    1. Sorrell, Steve & Dimitropoulos, John, 2008. "The rebound effect: Microeconomic definitions, limitations and extensions," Ecological Economics, Elsevier, vol. 65(3), pages 636-649, April.
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    5. Langbroek, Joram H.M. & Cebecauer, Matej & Malmsten, Jon & Franklin, Joel P. & Susilo, Yusak O. & Georén, Peter, 2019. "Electric vehicle rental and electric vehicle adoption," Research in Transportation Economics, Elsevier, vol. 73(C), pages 72-82.
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    Cited by:

    1. Huwe, Vera & Gessner, Johannes, 2020. "Are there rebound effects from electric vehicle adoption? Evidence from German household data," ZEW Discussion Papers 20-048, ZEW - Leibniz Centre for European Economic Research.

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    More about this item

    Keywords

    electric vehicles; internal combustion engine vehicles; barriers to adoption; cruising range; driving patterns; car sharing; range limitations; range anxiety;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General

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