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Analysis of the Barriers to Widespread Adoption of Electric Vehicles in Shenzhen China

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  • Fa-Ping Wang

    (Research Center for Modern Logistics, Graduate School at Shenzhen, Tsinghua University, Tsinghua Campus, The University Town, Shenzhen 518055, China)

  • Jia-Li Yu

    (Research Center for Intelligent Logistics and Transportation, Tsinghua-Berkeley Shenzhen Institute, The University Town, Shenzhen 518055, China)

  • Peng Yang

    (Research Center for Modern Logistics, Graduate School at Shenzhen, Tsinghua University, Tsinghua Campus, The University Town, Shenzhen 518055, China)

  • Li-Xin Miao

    (Research Center for Modern Logistics, Graduate School at Shenzhen, Tsinghua University, Tsinghua Campus, The University Town, Shenzhen 518055, China)

  • Bin Ye

    (Research Center for Modern Logistics, Graduate School at Shenzhen, Tsinghua University, Tsinghua Campus, The University Town, Shenzhen 518055, China)

Abstract

China promoted the large-scale adoption of Electric Vehicles (EVs) in its 13th five-year plan; however, this target faces many obstacles. This paper analyzes the main barriers to widespread adoption of EVs through a survey in Shenzhen, which has the biggest EVs market share out of China’s major cities. Based on previous research, this paper conducted a new study using 406 approved questionnaires among 500 participants. Our study proposed five hypotheses to examine the main barriers to widespread adoption of EVs. The analysis was conducted using statistical method that included two-way frequency tables, chi-square test, and factor analysis. The results indicated that perception of advantages of EVs and access to recharging EVs remained the main barriers in large-scale penetration. Furthermore, our study revealed that a drop in financial incentives would not cause a significant decline in the future adoption of EVs. The study provides suggestions to car manufacturers and government policy advisors based on our analysis and discussion.

Suggested Citation

  • Fa-Ping Wang & Jia-Li Yu & Peng Yang & Li-Xin Miao & Bin Ye, 2017. "Analysis of the Barriers to Widespread Adoption of Electric Vehicles in Shenzhen China," Sustainability, MDPI, vol. 9(4), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:4:p:522-:d:94495
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    References listed on IDEAS

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    Cited by:

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    3. Praveen K. Kopalle & Jesse Burkhardt & Kenneth Gillingham & Lauren S. Grewal & Nailya Ordabayeva, 2024. "Delivering affordable clean energy to consumers," Journal of the Academy of Marketing Science, Springer, vol. 52(5), pages 1452-1474, October.
    4. Teng Yu & Yajun Zhang & Ai Ping Teoh & Anchao Wang & Chengliang Wang, 2023. "Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China," SAGE Open, , vol. 13(4), pages 21582440231, November.
    5. Kowalska-Pyzalska, Anna & Michalski, Rafał & Kott, Marek & Skowrońska-Szmer, Anna & Kott, Joanna, 2022. "Consumer preferences towards alternative fuel vehicles. Results from the conjoint analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    6. Ye Yang & Zhongfu Tan, 2019. "Investigating the Influence of Consumer Behavior and Governmental Policy on the Diffusion of Electric Vehicles in Beijing, China," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    7. Cui, Lixin & Wang, Yonggui & Chen, Weiming & Wen, Wen & Han, Myat Su, 2021. "Predicting determinants of consumers' purchase motivation for electric vehicles: An application of Maslow's hierarchy of needs model," Energy Policy, Elsevier, vol. 151(C).
    8. Dong, Xiaoyang & Zhang, Bin & Wang, Bo & Wang, Zhaohua, 2020. "Urban households’ purchase intentions for pure electric vehicles under subsidy contexts in China: Do cost factors matter?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 183-197.
    9. Jiali Yu & Peng Yang & Kai Zhang & Faping Wang & Lixin Miao, 2018. "Evaluating the Effect of Policies and the Development of Charging Infrastructure on Electric Vehicle Diffusion in China," Sustainability, MDPI, vol. 10(10), pages 1-25, September.
    10. Yuping Lin & Kai Zhang & Zuo-Jun Max Shen & Lixin Miao, 2019. "Charging Network Planning for Electric Bus Cities: A Case Study of Shenzhen, China," Sustainability, MDPI, vol. 11(17), pages 1-27, August.

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