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Predicting Consumer Intention to Adopt Battery Electric Vehicles: Extending the Theory of Planned Behavior

Author

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  • Kathrin Monika Buhmann

    (Department of Business, Universitat Autonoma de Barcelona, 08193 Barcelona, Spain)

  • Josep Rialp-Criado

    (Department of Business, Universitat Autonoma de Barcelona, 08193 Barcelona, Spain)

  • Alex Rialp-Criado

    (Department of Business, Universitat Autonoma de Barcelona, 08193 Barcelona, Spain)

Abstract

Societies worldwide are under increasing pressure to reduce carbon footprints, combat air pollution, and address climate change. Battery electric vehicles (BEVs) represent a sustainable transportation solution to mitigate environmental issues. Despite growing consumer demand, BEV adoption rates remain relatively low. This study extends the theory of planned behavior to analyze factors influencing consumer adoption intentions for BEVs in Spain. The research incorporates the constructs Attitude, Perceived Behavioral Control, Subjective Norm, Moral Norm, Environmental Concern, and a unique consumer ‘profile’ dimension comprising experience, education, and gender, alongside the moderating variable of ‘price sensitivity’. This study comprises 1816 responses collected through an online survey, and it utilized the partial least squares structural equation model. The empirical findings indicate that Attitude, Perceived Behavioral Control, Subjective Norm, and Moral Norm significantly impact consumer adoption intention. Attitude emerges as the strongest influencer, emphasizing the significance of personal beliefs. Environmental Concern suggests environmentally conscious consumers may lean toward BEV adoption due to positive attitudes. The ‘profile’ dimension does not affect the relationship toward adoption intention. Price sensitivity moderates these relationships, indicating pricing strategies and incentives could significantly influence BEV adoption decisions. These findings offer practical guidance for governments and manufacturers aiming to promote sustainable, eco-friendly transportation methods in the face of global environmental challenges.

Suggested Citation

  • Kathrin Monika Buhmann & Josep Rialp-Criado & Alex Rialp-Criado, 2024. "Predicting Consumer Intention to Adopt Battery Electric Vehicles: Extending the Theory of Planned Behavior," Sustainability, MDPI, vol. 16(3), pages 1-24, February.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:3:p:1284-:d:1332320
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    1. Gallagher, Kelly Sims & Muehlegger, Erich, 2011. "Giving green to get green? Incentives and consumer adoption of hybrid vehicle technology," Journal of Environmental Economics and Management, Elsevier, vol. 61(1), pages 1-15, January.
    2. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    3. 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.
    4. Hidrue, Michael K. & Parsons, George R. & Kempton, Willett & Gardner, Meryl P., 2011. "Willingness to pay for electric vehicles and their attributes," Resource and Energy Economics, Elsevier, vol. 33(3), pages 686-705, September.
    5. Mohamed, Moataz & Higgins, Christopher D. & Ferguson, Mark & Réquia, Weeberb J., 2018. "The influence of vehicle body type in shaping behavioural intention to acquire electric vehicles: A multi-group structural equation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 54-72.
    6. Yueling Xu & Wenyu Zhang & Haijun Bao & Shuai Zhang & Ying Xiang, 2019. "A SEM–Neural Network Approach to Predict Customers’ Intention to Purchase Battery Electric Vehicles in China’s Zhejiang Province," Sustainability, MDPI, vol. 11(11), pages 1-19, June.
    7. Jui-Che Tu & Chun Yang, 2019. "Key Factors Influencing Consumers’ Purchase of Electric Vehicles," Sustainability, MDPI, vol. 11(14), pages 1-22, July.
    8. Mohamed, Moataz & Higgins, Chris & Ferguson, Mark & Kanaroglou, Pavlos, 2016. "Identifying and characterizing potential electric vehicle adopters in Canada: A two-stage modelling approach," Transport Policy, Elsevier, vol. 52(C), pages 100-112.
    9. Udit Chawla & Rajesh Mohnot & Varsha Mishra & Harsh Vikram Singh & Ayush Kumar Singh, 2023. "Factors Influencing Customer Preference and Adoption of Electric Vehicles in India: A Journey towards More Sustainable Transportation," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    10. Deka, Chayasmita & Dutta, Mrinal Kanti & Yazdanpanah, Masoud & Komendantova, Nadejda, 2023. "Can gain motivation induce Indians to adopt electric vehicles? Application of an extended theory of Planned Behavior to map EV adoption intention," Energy Policy, Elsevier, vol. 182(C).
    11. Dianne Hofenk & Marcel Birgelen & Josée Bloemer & Janjaap Semeijn, 2019. "How and When Retailers’ Sustainability Efforts Translate into Positive Consumer Responses: The Interplay Between Personal and Social Factors," Journal of Business Ethics, Springer, vol. 156(2), pages 473-492, May.
    12. Adnan, Nadia & Md Nordin, Shahrina & Hadi Amini, M. & Langove, Naseebullah, 2018. "What make consumer sign up to PHEVs? Predicting Malaysian consumer behavior in adoption of PHEVs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 259-278.
    13. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    14. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    15. 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.
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