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The Analysis of Consumer Preference on EV Adoption Barriers and Policy Stimulations in Thailand

Author

Listed:
  • Theeradol Techa-Erawan

    (Faculty of Economics, Chulalongkorn University, Bangkok, Thailand)

  • Watcharapong Ratisukpimol

    (Faculty of Economics, Chulalongkorn University, Bangkok, Thailand)

  • Pongsun Bunditsakulchai

    (Department of Civil Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand)

Abstract

This study analyzes consumer preferences for EVs using the discrete choice experiment and explores the attitudes toward possible policies on EV stimulation. The 362 participants with a driving license and living in Bangkok participated in the questionnaire survey. The information on the questionnaire includes their characteristics, car usage behavior, environmental preference, and preference for policies on EV stimulation. The binary logit regression analysis reveals that the number of vehicle possessions, ownership of parking space, the price of EV, and fuel cost per month affect the decision to purchase EVs. On the other hand, being female, income, years of car use, maximum driving range of EV, and coverage area of chargers increase the probability of EV purchase. Environmental preferences have a strong positive correlation with EV purchases. Policies involving personal interest and EV sustainability also positively correlate with EV purchases. However, the extreme ecological perspective has an adverse effect. The analysis of the preferences for policies on EV stimulation reveals that monetary policies are the most preferred choice since the participants prioritize the policies favorable to their benefits.

Suggested Citation

  • Theeradol Techa-Erawan & Watcharapong Ratisukpimol & Pongsun Bunditsakulchai, 2024. "The Analysis of Consumer Preference on EV Adoption Barriers and Policy Stimulations in Thailand," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 160-168, July.
    • Handle: RePEc:eco:journ2:2024-04-15
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    References listed on IDEAS

    as
    1. Prateek Bansal & Rajeev Ranjan Kumar & Alok Raj & Subodh Dubey & Daniel J. Graham, 2021. "Willingness to Pay and Attitudinal Preferences of Indian Consumers for Electric Vehicles," Papers 2101.08008, arXiv.org, revised May 2021.
    2. Bansal, Prateek & Kumar, Rajeev Ranjan & Raj, Alok & Dubey, Subodh & Graham, Daniel J., 2021. "Willingness to pay and attitudinal preferences of Indian consumers for electric vehicles," Energy Economics, Elsevier, vol. 100(C).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Electric Vehicle; Discrete Choice Experiment; Consumer Preference; Logistic Regression Model; Willingness to Pay;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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