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Cost-Benefit Analysis of policies for the development of electric vehicles in Germany: methods and results

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  • J�r�me Massiani

    (Department of Economics, University Of Venice C� Foscari)

  • J�rg Radeke

Abstract

Policies toward the diffusion of Electric Vehicles received a lot of attention in the latest years in many developed countries. However evaluation of such policies is still incipient and consistent assessment tools are necessary to avoid that policies are flawed or based on ungrounded a priori. In this paper, we review different existing models and present a simulation tool for the assessment of EV policies in Germany. This model incorporates detailed representation of the various technological, behavioral and economical mechanisms that govern the possible diffusion of EV in Germany. Consistent with most of the literature, our finding suggest that most of EV supporting policies have a negative outcome. These results are strongly driven by the regulatory framework in which EV diffusion could take place and especially the Car Average Fleet Emission regulation EU 443

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  • J�r�me Massiani & J�rg Radeke, 2013. "Cost-Benefit Analysis of policies for the development of electric vehicles in Germany: methods and results," Working Papers 2013:02, Department of Economics, University of Venice "Ca' Foscari".
    • Handle: RePEc:ven:wpaper:2013_02
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    Cited by:

    1. Bernice Huang & Yunkyung Choi & Samuel Chng & Harvey Neo, 2023. "Examining Policy Strategies for Electrifying Transportation in ASEAN: A STEELUP Framework Evaluation," Sustainability, MDPI, vol. 15(22), pages 1-16, November.
    2. Zhang, Xingping & Liang, Yanni & Yu, Enhai & Rao, Rao & Xie, Jian, 2017. "Review of electric vehicle policies in China: Content summary and effect analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 698-714.
    3. Wenbo Li & Ruyin Long & Hong Chen & Feiyu Chen & Xiao Zheng & Muyi Yang, 2019. "Effect of Policy Incentives on the Uptake of Electric Vehicles in China," Sustainability, MDPI, vol. 11(12), pages 1-20, June.
    4. Rusich, Andrea & Danielis, Romeo, 2015. "Total cost of ownership, social lifecycle cost and energy consumption of various automotive technologies in Italy," Research in Transportation Economics, Elsevier, vol. 50(C), pages 3-16.
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    6. Nian, Victor & Hari, M.P. & Yuan, Jun, 2019. "A new business model for encouraging the adoption of electric vehicles in the absence of policy support," Applied Energy, Elsevier, vol. 235(C), pages 1106-1117.
    7. Künle, Eglantine & Minke, Christine, 2022. "Macro-environmental comparative analysis of e-mobility adoption pathways in France, Germany and Norway," Transport Policy, Elsevier, vol. 124(C), pages 160-174.
    8. Keuchel, Stephan & Jacobs, Leif & Laurenz, Karolyn, 2019. "Owners of energy-efficient houses as a target group for sustainable electric mobility," Transport Policy, Elsevier, vol. 81(C), pages 254-262.
    9. Ma, Shao-Chao & Fan, Ying & Feng, Lianyong, 2017. "An evaluation of government incentives for new energy vehicles in China focusing on vehicle purchasing restrictions," Energy Policy, Elsevier, vol. 110(C), pages 609-618.
    10. Ito, Yutaka & Managi, Shunsuke, 2015. "The potential of alternative fuel vehicles: A cost-benefit analysis," Research in Transportation Economics, Elsevier, vol. 50(C), pages 39-50.
    11. Anna Kiziltan & Mustafa Kiziltan & Shihomi Ara Aksoy & Merih Aydınalp Köksal & Ş. Elçin Tekeli & Nilhan Duran & S. Yeşer Aslanoğlu & Fatma Öztürk & Nazan Özyürek & Pervin Doğan & Ağça Gül Yılmaz & Can, 2023. "Cost–benefit analysis of road-transport policy options to combat air pollution in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10765-10798, October.
    12. Li, Wenbo & Long, Ruyin & Chen, Hong, 2016. "Consumers’ evaluation of national new energy vehicle policy in China: An analysis based on a four paradigm model," Energy Policy, Elsevier, vol. 99(C), pages 33-41.
    13. Yixi Xue & Yi Zhang & Yi Chen, 2019. "An Evaluation Framework for the Planning of Electric Car-Sharing Systems: A Combination Model of AHP-CBA-VD," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    14. Du, Jiuyu & Li, Feiqiang & Li, Jianqiu & Wu, Xiaogang & Song, Ziyou & Zou, Yunfei & Ouyang, Minggao, 2019. "Evaluating the technological evolution of battery electric buses: China as a case," Energy, Elsevier, vol. 176(C), pages 309-319.
    15. Zhongqi Deng & Peng Tian, 2020. "Are China's subsidies for electric vehicles effective?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(4), pages 475-489, June.
    16. Li, Chengjiang & Negnevitsky, Michael & Wang, Xiaolin & Yue, Wen Long & Zou, Xin, 2019. "Multi-criteria analysis of policies for implementing clean energy vehicles in China," Energy Policy, Elsevier, vol. 129(C), pages 826-840.
    17. Stefan Englberger & Holger Hesse & Daniel Kucevic & Andreas Jossen, 2019. "A Techno-Economic Analysis of Vehicle-to-Building: Battery Degradation and Efficiency Analysis in the Context of Coordinated Electric Vehicle Charging," Energies, MDPI, vol. 12(5), pages 1-17, March.
    18. Abotalebi, Elnaz & Scott, Darren M. & Ferguson, Mark R., 2019. "Why is electric vehicle uptake low in Atlantic Canada? A comparison to leading adoption provinces," Journal of Transport Geography, Elsevier, vol. 74(C), pages 289-298.
    19. Lopez, Neil Stephen & Tria, Lew Andrew & Tayo, Leo Allen & Cruzate, Rovinna Janel & Oppus, Carlos & Cabacungan, Paul & Isla, Igmedio & Ansay, Arjun & Garcia, Teodinis & Cabarrubias-Dela Cruz, Kevien &, 2021. "Societal cost-benefit analysis of electric vehicles in the Philippines with the inclusion of impacts to balance of payments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    20. Massiani, Jérôme & Gohs, Andreas, 2015. "The choice of Bass model coefficients to forecast diffusion for innovative products: An empirical investigation for new automotive technologies," Research in Transportation Economics, Elsevier, vol. 50(C), pages 17-28.
    21. Wang, Ning & Tang, Linhao & Pan, Huizhong, 2017. "Effectiveness of policy incentives on electric vehicle acceptance in China: A discrete choice analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 210-218.
    22. Weixing Liu & Hongtao Yi, 2020. "What Affects the Diffusion of New Energy Vehicles Financial Subsidy Policy? Evidence from Chinese Cities," IJERPH, MDPI, vol. 17(3), pages 1-15, January.
    23. Hirte, Georg & Tscharaktschiew, Stefan, 2013. "The optimal subsidy on electric vehicles in German metropolitan areas: A spatial general equilibrium analysis," Energy Economics, Elsevier, vol. 40(C), pages 515-528.
    24. Xiaoli Sun & Zhengguo Li & Xiaolin Wang & Chengjiang Li, 2019. "Technology Development of Electric Vehicles: A Review," Energies, MDPI, vol. 13(1), pages 1-29, December.

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    More about this item

    Keywords

    Electric vehicles; evaluation; cost benefit analysis;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis

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