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Optimal regulatory policies for charging of electric vehicles

Author

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  • Mads Greaker

    (Oslo Business School - OsloMet)

Abstract

Electric vehicles (EVs) and their associated charging stations are characterized by indirect network effects. Indirect network effects may imply too slow adoption of a new good that improves welfare. Today, there are at four standards for high-speed charging in Europe. We find that policies should seek to standardize high-speed charging systems as this will unambiguously mean faster phase-in of EVs and improve welfare. We also find that governments should subsidize both the charging at each station and the entry of charging stations. The subsidies should cover a share of the private variable charging cost and the private fixed entry cost. Furthermore, the formula for setting the shares of costs to be paid by the regulator turns out to be very simple; the regulator only has to observe the percentage markup on the charging price, and can calculate the optimal share directly from that.

Suggested Citation

  • Mads Greaker, 2020. "Optimal regulatory policies for charging of electric vehicles," Working Papers 202003, Oslo Metropolitan University, Oslo Business School.
    • Handle: RePEc:oml:wpaper:202003
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    File URL: https://hdl.handle.net/20.500.12199/6421
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    References listed on IDEAS

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    1. Joseph Farrell & Garth Saloner, 1985. "Standardization, Compatibility, and Innovation," RAND Journal of Economics, The RAND Corporation, vol. 16(1), pages 70-83, Spring.
    2. Corts, Kenneth S., 2010. "Building out alternative fuel retail infrastructure: Government fleet spillovers in E85," Journal of Environmental Economics and Management, Elsevier, vol. 59(3), pages 219-234, May.
    3. Farrell, Joseph & Klemperer, Paul, 2007. "Coordination and Lock-In: Competition with Switching Costs and Network Effects," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 31, pages 1967-2072, Elsevier.
    4. 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.
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