Analysis using logistic regression reveals age and income impact EV purchase likelihood in Malaysia, suggesting targeted strategies.
The adoption of electric vehicles (EVs) in Malaysia remains limited despite increasing environmental awareness and government incentives. This study aims to identify the demographic factors that influence Malaysians’ likelihood to purchase EVs using logistic regression. A survey was conducted among 271 urban adults in Malaysia, collecting data on variables including age, gender, education level, income, number of cars owned, and weekly driving distance. Logistic regression analysis revealed that age, monthly income, and education level significantly affect the intention to purchase EVs. Specifically, younger individuals those with higher income, and respondents with diploma qualifications were more likely to consider buying EVs. Conversely, gender, car ownership, and driving distance were not significant predictors. The findings offer valuable insights for policymakers and manufacturers to design targeted strategies that promote EV adoption, contributing to Malaysia’s sustainable transportation goals and carbon reduction efforts.
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Hamray et al. (2025) studied this question.
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