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The optimal subsidy on electric vehicles in German metropolitan areas: A spatial general equilibrium analysis

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  • Hirte, Georg
  • Tscharaktschiew, Stefan
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    Abstract

    E-mobility and diffusion of electric vehicles have become a major policy issue in many countries. For example, the German federal government pursues the strategy of achieving one million electric vehicles by 2020. In this paper we examine whether it is optimal to subsidize the use of electric vehicles by granting electric power subsidies and how large the corresponding optimal rate is. We, first, analytically derive the optimal power tax in a spatial model of a city with two zones where commuting, carbon emissions, endogenous labor supply, fuel and power taxes are considered. It is shown that in a spatial urban environment, the optimal tax rate depends in particular on transport related externalities, tax interaction effects and redistribution effects working via the urban land market. Second, we extend the model to a full spatial general equilibrium model and employ simulations to calculate sign and size of the optimal tax/subsidy rate. This model is calibrated to a typical German metropolitan area. The results show that electric vehicles should not be subsidized but taxed. The results are robust with respect to changes in the willingness to adopt electric vehicles, the costs of driving electric vehicles, and even if emissions of electric vehicles are zero.

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    Bibliographic Info

    Article provided by Elsevier in its journal Energy Economics.

    Volume (Year): 40 (2013)
    Issue (Month): C ()
    Pages: 515-528

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    Handle: RePEc:eee:eneeco:v:40:y:2013:i:c:p:515-528

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    Web page: http://www.elsevier.com/locate/eneco

    Related research

    Keywords: Spatial urban model; Energy tax; Power tax; E-mobility; Electric vehicles; Climate change;

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    References

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    Cited by:
    1. Rhee, Hyok-Joo & Yu, Sanggyun & Hirte, Georg, 2014. "Zoning in cities with traffic congestion and agglomeration economies," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 82-93.

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