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Who Will Buy Electric Vehicles in Malaysia? A Demographic Analysis using Logistic Regression

Author

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  • Insyirah Hayati Hamray

    (Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA, Kampus Seremban, Cawangan Negeri Sembilan, Negeri Sembilan, Malaysia)

  • Jaida Najihah Jamidin

    (Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA, Kampus Seremban, Cawangan Negeri Sembilan, Negeri Sembilan, Malaysia)

  • Isnewati Ab Malek

    (Fakulti Sains Komputer dan Matematik, Universiti Teknologi MARA, Kampus Seremban, Cawangan Negeri Sembilan, Negeri Sembilan, Malaysia)

Abstract

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.

Suggested Citation

  • Insyirah Hayati Hamray & Jaida Najihah Jamidin & Isnewati Ab Malek, 2025. "Who Will Buy Electric Vehicles in Malaysia? A Demographic Analysis using Logistic Regression," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(7), pages 5794-5798, July.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-7:p:5794-5798
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    References listed on IDEAS

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