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Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation

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  • Daziano, Ricardo A.
  • Chiew, Esther

Abstract

Since standard vehicles are powered by internal combustion mechanisms that rely on fossil fuels, electric vehicles that are propelled by one or more electric engines have been proposed as an alternative to promote sustainable personal transportation. In this paper we propose a general demand model for vehicle purchases at the individual level assuming that the necessary microdata is available. We then list the ideal microdata that would be needed for estimating this general demand model. For elaborating this list, we take into account the particularities of low emission vehicles, with emphasis in their cost-reliability-environmental benefits tradeoff, as well as the potentiality for evaluation of welfare improving policies related to adoption of energy-efficient technologies. We discuss data sources and collection strategies for the different attributes of the model, especially for those characteristics that are nonstandard such as symbolic values. For instance, we discuss the role of range anxiety as a barrier of adoption of electric vehicles, and the implied relevance of including driving range to get consumers’ willingness to pay for better performing electric batteries.

Suggested Citation

  • Daziano, Ricardo A. & Chiew, Esther, 2012. "Electric vehicles rising from the dead: Data needs for forecasting consumer response toward sustainable energy sources in personal transportation," Energy Policy, Elsevier, vol. 51(C), pages 876-894.
  • Handle: RePEc:eee:enepol:v:51:y:2012:i:c:p:876-894
    DOI: 10.1016/j.enpol.2012.09.040
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    7. Daina, Nicolò & Sivakumar, Aruna & Polak, John W., 2017. "Modelling electric vehicles use: a survey on the methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 447-460.
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    9. Junquera, Beatriz & Moreno, Blanca & Álvarez, Roberto, 2016. "Analyzing consumer attitudes towards electric vehicle purchasing intentions in Spain: Technological limitations and vehicle confidence," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 6-14.
    10. Krupa, Joseph S. & Rizzo, Donna M. & Eppstein, Margaret J. & Brad Lanute, D. & Gaalema, Diann E. & Lakkaraju, Kiran & Warrender, Christina E., 2014. "Analysis of a consumer survey on plug-in hybrid electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 14-31.
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    14. Tanaka, Makoto & Ida, Takanori & Murakami, Kayo & Friedman, Lee, 2014. "Consumers’ willingness to pay for alternative fuel vehicles: A comparative discrete choice analysis between the US and Japan," Transportation Research Part A: Policy and Practice, Elsevier, vol. 70(C), pages 194-209.
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    16. 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.
    17. 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.
    18. Zhang, Xiang, 2014. "Reference-dependent electric vehicle production strategy considering subsidies and consumer trade-offs," Energy Policy, Elsevier, vol. 67(C), pages 422-430.

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