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Examining Shanghai Consumer Preferences for Electric Vehicles and Their Attributes

Author

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  • Yongyou Nie

    (School of Economics, Shanghai University, 99 Shangda Road, Baoshan, Shanghai 200444, China)

  • Enci Wang

    (School of Economics, Shanghai University, 99 Shangda Road, Baoshan, Shanghai 200444, China)

  • Qinxin Guo

    (Graduate School of Economics, Kobe University, Kobe University, 2-1 Rokkodai, Nada, Kobe 657-8501, Japan)

  • Junyi Shen

    (School of Economics, Shanghai University, 99 Shangda Road, Baoshan, Shanghai 200444, China
    Research Institute for Economics and Business Administration, Kobe University, 2-1 Rokkodai, Nada, Kobe 657-8501, Japan)

Abstract

In this study, we conducted a stated choice survey in Shanghai in order to examine the attitudes of Shanghai residents towards electric vehicles and their attributes. Multinomial Logit and Random Parameter Logit models were used to analyze the response data for three samples—the full sample, a subsample of potential electric vehicle purchasers, and a subsample of unlikely electric vehicle purchasers. We found that the respondents in each of the three groups preferred electric vehicles with a longer driving range, a shorter charging time, a faster maximum speed, lower pollution emissions, lower fuel cost, and a lower price. However, an overlong driving range seems not to be a must for potential electric vehicles (EV) purchasers. In addition, a comparison of the two subsamples showed that potential electric vehicle purchasers were willing to pay more than their counterparts for enhancing vehicle attributes. We also investigated the determinants of likely electric vehicle purchase and found a number of demographic characteristics that were statistically significant.

Suggested Citation

  • Yongyou Nie & Enci Wang & Qinxin Guo & Junyi Shen, 2018. "Examining Shanghai Consumer Preferences for Electric Vehicles and Their Attributes," Sustainability, MDPI, vol. 10(6), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:2036-:d:152788
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    Cited by:

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    2. Austmann, Leonhard M. & Vigne, Samuel A., 2021. "Does environmental awareness fuel the electric vehicle market? A Twitter keyword analysis," Energy Economics, Elsevier, vol. 101(C).
    3. Abdulaziz Alshammari & Rakan C. Chabaan, 2023. "Metaheruistic Optimization Based Ensemble Machine Learning Model for Designing Detection Coil with Prediction of Electric Vehicle Charging Time," Sustainability, MDPI, vol. 15(8), pages 1-17, April.
    4. Reema Bera & Bhargab Maitra, 2021. "Analyzing Prospective Owners’ Choice Decision towards Plug-in Hybrid Electric Vehicles in Urban India: A Stated Preference Discrete Choice Experiment," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    5. 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.
    6. Wei Wei & Ming Cao & Qianling Jiang & Sheng-Jung Ou & Hong Zou, 2020. "What Influences Chinese Consumers’ Adoption of Battery Electric Vehicles? A Preliminary Study Based on Factor Analysis," Energies, MDPI, vol. 13(5), pages 1-15, February.
    7. Bera, Reema & Maitra, Bhargab, 2021. "Assessing consumer preferences for Plug-in Hybrid Electric Vehicle (PHEV): An Indian perspective," Research in Transportation Economics, Elsevier, vol. 90(C).
    8. Jongjin Sohn & Jongseon Lee & Nami Kim, 2020. "Going Green Inside and Out: Corporate Environmental Responsibility and Financial Performance under Regulatory Stringency," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    9. Jia, Wenjian & Chen, T. Donna, 2023. "Investigating heterogeneous preferences for plug-in electric vehicles: Policy implications from different choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    10. Song, Yongming & Li, Yanhong & Zhu, Hongli & Li, Guangxu, 2023. "A decision support model for buying battery electric vehicles considering consumer learning and psychological behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    11. Elham Allahmoradi & Saeed Mirzamohammadi & Ali Bonyadi Naeini & Ali Maleki & Saleh Mobayen & Paweł Skruch, 2022. "Policy Instruments for the Improvement of Customers’ Willingness to Purchase Electric Vehicles: A Case Study in Iran," Energies, MDPI, vol. 15(12), pages 1-17, June.
    12. Ziwen Ling & Christopher R. Cherry & Yi Wen, 2021. "Determining the Factors That Influence Electric Vehicle Adoption: A Stated Preference Survey Study in Beijing, China," Sustainability, MDPI, vol. 13(21), pages 1-22, October.
    13. Zhang, Qi & Liu, Jiangfeng & Yang, Kexin & Liu, Boyu & Wang, Ge, 2022. "Market adoption simulation of electric vehicle based on social network model considering nudge policies," Energy, Elsevier, vol. 259(C).

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    More about this item

    Keywords

    electric vehicles; preferences; stated choice experiment; willingness to pay; Random Parameter Logit model;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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