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Citizens’ electric vehicle purchase intentions in China: An analysis of micro-level and macro-level factors

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  • Habich-Sobiegalla, Sabrina
  • Kostka, Genia
  • Anzinger, Niklas

Abstract

Given the pressure to adopt more sustainable transportation modes, a number of governments have adopted policies to increase the use of electric vehicles (EVs). Yet, there are few national surveys of citizens' intentions to purchase EVs. Using a nationwide survey with 1080 respondents in China, this article examines the determinants of Chinese citizens' intentions to purchase EVs. The survey results suggest that if Chinese citizens have a wide social network and if they know someone who already owns an EV, their intention to purchase an EV is very high. Other micro-level factors, such as age and education, have significant effects, but their magnitudes are lower. Macro-level factors such as air pollution and EV charging infrastructure don't drive intentions to purchase EVs. Drawing on these results, the article offers recommendations for businesses and policymakers who seek to reduce the consumption of fossil fuels and to increase the adoption of sustainable transport solutions.

Suggested Citation

  • Habich-Sobiegalla, Sabrina & Kostka, Genia & Anzinger, Niklas, 2019. "Citizens’ electric vehicle purchase intentions in China: An analysis of micro-level and macro-level factors," Transport Policy, Elsevier, vol. 79(C), pages 223-233.
    • Handle: RePEc:eee:trapol:v:79:y:2019:i:c:p:223-233
    DOI: 10.1016/j.tranpol.2019.05.008
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    Citations

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    Cited by:

    1. Li, Chengjiang & Negnevitsky, Michael & Wang, Xiaolin, 2020. "Prospective assessment of methanol vehicles in China using FANP-SWOT analysis," Transport Policy, Elsevier, vol. 96(C), pages 60-75.
    2. Wang, Jiaxing & Matsumoto, Shigeru, 2022. "Can subsidy programs lead consumers to select “greener” products?: Evidence from the Eco-car program in Japan," Research in Transportation Economics, Elsevier, vol. 91(C).
    3. Suman, Hemant K. & Bolia, Nomesh B., 2019. "Improvement in direct bus services through route planning," Transport Policy, Elsevier, vol. 81(C), pages 263-274.
    4. Qingyou Yan & Guangyu Qin & Meijuan Zhang & Bowen Xiao, 2019. "Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model," Sustainability, MDPI, vol. 11(20), pages 1-15, October.
    5. Zhang, Xiaoyun & Dong, Feng, 2023. "What affects residents’ behavioral intentions to ban gasoline vehicles? Evidence from an emerging economy," Energy, Elsevier, vol. 263(PB).
    6. Luo, Qi & Yin, Yunlei & Chen, Pengyu & Zhan, Zhenfei & Saigal, Romesh, 2022. "Dynamic subsidies for synergistic development of charging infrastructure and electric vehicle adoption," Transport Policy, Elsevier, vol. 129(C), pages 117-136.
    7. Jaiswal, Deepak & Kaushal, Vikrant & Kant, Rishi & Kumar Singh, Pankaj, 2021. "Consumer adoption intention for electric vehicles: Insights and evidence from Indian sustainable transportation," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    8. Wen, W. & Yang, S. & Zhou, P. & Gao, S.Z., 2021. "Impacts of COVID-19 on the electric vehicle industry: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    9. Jaiswal, Deepak & Deshmukh, Arun Kumar & Thaichon, Park, 2022. "Who will adopt electric vehicles? Segmenting and exemplifying potential buyer heterogeneity and forthcoming research," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    10. Wang, Xiao-Wu & Cao, Yu-Mei & Zhang, Ning, 2021. "The influences of incentive policy perceptions and consumer social attributes on battery electric vehicle purchase intentions," Energy Policy, Elsevier, vol. 151(C).

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