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Do battery-switching systems accelerate the adoption of electric vehicles? A stated preference study


  • Ito, Nobuyuki
  • Takeuchi, Kenji
  • Managi, Shunsuke


We estimate willingness-to-pay (WTP) for building refueling stations for battery-switching electric vehicles (SEVs) and battery-recharging electric vehicles (REVs) by using a choice experiment. Our results show that consumers prefer a REV to a SEV even if the recharging rate of the REV is 30 minutes when assuming that the levels of the other properties, such as cruising range and number of refueling stations, are equal. Furthermore, the results imply that to promote the use of electric vehicles, it is important to build the infrastructure as well as introduce in parallel a price policy such as subsidies and tax cuts.

Suggested Citation

  • Ito, Nobuyuki & Takeuchi, Kenji & Managi, Shunsuke, 2019. "Do battery-switching systems accelerate the adoption of electric vehicles? A stated preference study," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 85-92.
  • Handle: RePEc:eee:ecanpo:v:61:y:2019:i:c:p:85-92
    DOI: 10.1016/j.eap.2017.02.004

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    References listed on IDEAS

    1. Nobuyuki Ito & Kenji Takeuchi & Shunsuke Managi, 2012. "Willingness to pay for the infrastructure investments for alternative fuel vehicles," Discussion Papers 1207, Graduate School of Economics, Kobe University.
    2. Bunch, David S. & Bradley, Mark & Golob, Thomas F. & Kitamura, Ryuichi & Occhiuzzo, Gareth P., 1993. "Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(3), pages 237-253, May.
    3. Daziano, Ricardo A., 2013. "Conditional-logit Bayes estimators for consumer valuation of electric vehicle driving range," Resource and Energy Economics, Elsevier, vol. 35(3), pages 429-450.
    4. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
    5. Dimitropoulos, Alexandros & Rietveld, Piet & van Ommeren, Jos N., 2013. "Consumer valuation of changes in driving range: A meta-analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 55(C), pages 27-45.
    6. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
    7. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    8. Buket Avci & Karan Girotra & Serguei Netessine, 2015. "Electric Vehicles with a Battery Switching Station: Adoption and Environmental Impact," Management Science, INFORMS, vol. 61(4), pages 772-794, April.
    9. Axsen, Jonn & Orlebar, Caroline & Skippon, Stephen, 2013. "Social influence and consumer preference formation for pro-environmental technology: The case of a U.K. workplace electric-vehicle study," Ecological Economics, Elsevier, vol. 95(C), pages 96-107.
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    Cited by:

    1. Webb, Jeremy, 2019. "The future of transport: Literature review and overview," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 1-6.
    2. Hackbarth, André & Madlener, Reinhard, 2018. "Combined Vehicle Type and Fuel Type Choices of Private Households: An Empirical Analysis for Germany," FCN Working Papers 17/2018, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), revised May 2019.

    More about this item


    Electric vehicle; Battery-switching stations; Stated preference method; Choice experiment; Willingness-to-pay;

    JEL classification:

    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects


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