The optimal subsidy on electric vehicles in German metropolitan areas: A spatial general equilibrium analysis |
| |
| Affiliation: | 1. Technische Universität Dresden, Institute of Transport & Economics, 01062 Dresden, Germany;2. IUBH International University, 10179 Berlin, Germany;1. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China;2. Institute of Energy, Environment and Economy (3E), Tsinghua University, Beijing 100084, China;3. China Automotive Energy Research Center, Tsinghua University, Beijing 100084, China;4. Energy Policy Institute at Chicago, University of Chicago, Chicago, IL 60616, USA;1. School of Management, Huazhong University of Science and Technology, Wuhan 430074, China;2. School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China;3. School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430081, China;1. School of Finance, Institute of Guangdong Economy & Social Development, Guangdong University of Finance & Economics (GDUFE), Guangzhou, 510320, PR China;2. Guangdong Academy of Social Sciences, Guangzhou, 510635, PR China |
| |
| 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. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
