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Willingness to Pay for Electric Vehicles and their Attributes

  • Michael K. Hidrue

    ()

    (Department of Economics,University of Delaware)

  • George R. Parsons

    ()

    (Department of Economics, University of Delaware)

  • Willett Kempton

    ()

    (Department of Electrical and Computer Engineering, University of Delaware)

  • Meryl Gardner

    ()

    (Department of Business Administration, University of Delaware)

This article presents a stated preference study of electric vehicle choice using data from a national survey. We used a choice experiment wherein 3029 respondents were asked to choose between their preferred gasoline vehicle and two electric versions of that preferred vehicle. We estimated a latent class random utility model and used the results to estimate the willingness to pay for five electric vehicle attributes: driving range, charging time, fuel cost saving, pollution reduction, and performance. Driving range, fuel cost savings, and charging time led in importance to respondents. Individuals were willing to pay (wtp) from $35 to $75 for a mile of added driving range, with incremental wtp per mile decreasing at higher distances. They were willing to pay from $425 to $3250 per hour reduction in charging time (for a 50 mile charge). Respondents capitalized about 5 years of fuel saving into the purchase price of an electric vehicle. We simulated our model over a range of electric vehicle configurations and found that people with the highest values for electric vehicles were willing to pay a premium above their wtp for a gasoline vehicle that ranged from $6000 to $16,000 for electric vehicles with the most desirable attributes. At the same time, our results suggest that battery cost must drop significantly before electric vehicles will find a mass market without subsidy.

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File URL: http://graduate.lerner.udel.edu/sites/default/files/ECON/PDFs/RePEc/dlw/WorkingPapers/2011/UDWP2011-02.pdf
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Paper provided by University of Delaware, Department of Economics in its series Working Papers with number 11-02.

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Length: 43 pages
Date of creation: 2011
Date of revision:
Publication status: Forthcoming in Resource and Energy Economics
Handle: RePEc:dlw:wpaper:11-02.
Contact details of provider: Postal: Purnell Hall, Newark, Delaware 19716
Phone: (302) 831-2565
Fax: (302) 831-6968
Web page: http://www.lerner.udel.edu/departments/economics/department-economics/

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  1. repec:cup:cbooks:9780521766555 is not listed on IDEAS
  2. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
  3. Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
  4. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt1j6814b3, University of California Transportation Center.
  5. Bunch, David S. & Bradley, Mark & Golob, Thomas F. & Kitamura, Ryuichi & Occhiuzzo, Gareth P., 1993. "Demand for clean-fuel vehicles in California: A discrete-choice stated preference pilot project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(3), pages 237-253, May.
  6. Calfee, John E., 1985. "Estimating the demand for electric automobiles using fully disaggregated probabilistic choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 19(4), pages 287-301, August.
  7. Boxall, Peter C. & Adamowicz, Wiktor L., 1999. "Understanding Heterogeneous Preferences in Random Utility Models: The Use of Latent Class Analysis," Staff Paper Series 24090, University of Alberta, Department of Resource Economics and Environmental Sociology.
  8. Brownstone, David & Bunch, David S. & Train, Kenneth, 2000. "Joint mixed logit models of stated and revealed preferences for alternative-fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 34(5), pages 315-338, June.
  9. Dagsvik, John K. & Wennemo, Tom & Wetterwald, Dag G. & Aaberge, Rolf, 2002. "Potential demand for alternative fuel vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 36(4), pages 361-384, May.
  10. repec:cup:cbooks:9780521747387 is not listed on IDEAS
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