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Strategically Targeting Plug-In Electric Vehicle Rebates and Outreach Using “EV Convert” Characteristics

Author

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  • Brett D. H. Williams

    (Center for Sustainable Energy (CSE), 3980 Sherman St. Suite 170, San Diego, CA 92110, USA)

  • John B. Anderson

    (Center for Sustainable Energy (CSE), 3980 Sherman St. Suite 170, San Diego, CA 92110, USA)

Abstract

To expand markets for plug-in electric vehicles (EVs) beyond enthusiastic early adopters, investments must be strategic. This research characterizes a segment of EV adoption that points the way toward the mainstream: EV consumers with low or no initial interest in EVs, or “ EV Converts .” Logistic regression is utilized to profile EV Convert demographic, household, and regional characteristics; vehicle-transaction details; and purchase motivations—based on 2016–2017 survey data characterizing 5447 rebated California EV consumers. Explanatory factors are rank-ordered—separately for battery EVs (BEVs) and plug-in hybrid EVs (PHEVs), to inform targeted outreach and incentive design. EV Converts tend to have relatively “lower” values on factors that might have otherwise “pre-converted” them to EV interest: hours researching EVs online; motivation from environmental impacts and carpool-lane access; and solar ownership. PHEV Converts more closely resemble new-car buyers than other EV adopters, and BEV Converts actually tend to be younger and less-frequently white/Caucasian than new-car buyers. BEV Converts also tend to: lack workplace charging, be moderately motivated by energy independence, and reside in Southern California or the Central Valley. Predictors that not only help target consumers, but also help convert them, include rebates for BEV consumers and, modestly, fuel-cost savings for PHEV consumers.

Suggested Citation

  • Brett D. H. Williams & John B. Anderson, 2021. "Strategically Targeting Plug-In Electric Vehicle Rebates and Outreach Using “EV Convert” Characteristics," Energies, MDPI, vol. 14(7), pages 1-24, March.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:7:p:1899-:d:526689
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    References listed on IDEAS

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    1. van Buuren, Stef & Groothuis-Oudshoorn, Karin, 2011. "mice: Multivariate Imputation by Chained Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i03).
    2. Kurani, Kenneth S., 2018. "State of the Plug-In Electric Vehicle Market: Report II," Institute of Transportation Studies, Working Paper Series qt8rp9h6fb, Institute of Transportation Studies, UC Davis.
    3. 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.
    4. Kurani, Kenneth S., 2018. "State of the Plug-In Electric Vehicle Market: Report I," Institute of Transportation Studies, Working Paper Series qt4gn9x59z, Institute of Transportation Studies, UC Davis.
    5. Zarazua de Rubens, Gerardo, 2019. "Who will buy electric vehicles after early adopters? Using machine learning to identify the electric vehicle mainstream market," Energy, Elsevier, vol. 172(C), pages 243-254.
    6. 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.
    7. Wolinetz, Michael & Axsen, Jonn, 2017. "How policy can build the plug-in electric vehicle market: Insights from the REspondent-based Preference And Constraints (REPAC) model," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 238-250.
    8. Gary Solon & Steven J. Haider & Jeffrey M. Wooldridge, 2015. "What Are We Weighting For?," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 301-316.
    9. Langbroek, Joram H.M. & Franklin, Joel P. & Susilo, Yusak O., 2016. "The effect of policy incentives on electric vehicle adoption," Energy Policy, Elsevier, vol. 94(C), pages 94-103.
    10. Kurani, Kenneth S. & Caperello, Nicolette & TyreeHageman, Jennifer, 2016. "New Car Buyers' Valuation of Zero-Emission Vehicles: California," Institute of Transportation Studies, Working Paper Series qt28v320rq, Institute of Transportation Studies, UC Davis.
    11. Yujin Beak & Kayoung Kim & Kyuho Maeng & Youngsang Cho, 2020. "Is the environment‐friendly factor attractive to customers when purchasing electric vehicles? Evidence from South Korea," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 996-1006, March.
    12. Hardman, Scott & Shiu, Eric & Steinberger-Wilckens, Robert, 2016. "Comparing high-end and low-end early adopters of battery electric vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 40-57.
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