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

Theeradol Techa-Erawan, Watcharapong Ratisukpimol and Pongsun Bunditsakulchai
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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

International Journal of Energy Economics and Policy, 2024, vol. 14, issue 4, 160-168

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.

Keywords: Electric Vehicle; Discrete Choice Experiment; Consumer Preference; Logistic Regression Model; Willingness to Pay (search for similar items in EconPapers)
JEL-codes: C25 O31 O38 (search for similar items in EconPapers)
Date: 2024
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