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Identifying Intention-Based Factors Influencing Consumers’ Willingness to Pay for Electric Vehicles: A Sustainable Consumption Paradigm

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  • ShiYong Zheng

    (School of Business, Guilin University of Electronic Technology, Guilin 541004, China
    College of Digital Economics, Nanning University, Nanning 530021, China
    School of Management, Hainan University, Haikou 570208, China)

  • Hua Liu

    (School of Business, Guilin University of Electronic Technology, Guilin 541004, China)

  • Weili Guan

    (College of Digital Economics, Nanning University, Nanning 530021, China)

  • Yuping Yang

    (School of Business, Guilin University of Electronic Technology, Guilin 541004, China)

  • JiaYing Li

    (School of Business, Guilin University of Electronic Technology, Guilin 541004, China)

  • Shah Fahad

    (School of Management, Hainan University, Haikou 570208, China)

  • Biqing Li

    (School of Business, Guilin University of Electronic Technology, Guilin 541004, China)

Abstract

In an effort to reduce environmental pollution and energy consumption, the Chinese government strongly promotes the usage of electric vehicles. However, studies focusing on assessing consumers’ willingness to pay (WTP) for electric vehicles (EVs) are limited in the country. This research aims to address this research gap by examining influencing factors of consumers’ WTP for EVs in the Chinese perspective. Combined with the existing consumers’ intention factors, the current study further contributed by augmenting the theoretical framework of the Theory of Planned Behavior by including three new dimensions (performance expectancy, information loaded, and perceived risk) to comprehensively analyze the willingness of Chinese consumers. Analysis is performed on survey data from 498 consumers using EVs in Beijing, China. To evaluate formulated hypotheses, structural equation modeling approach is employed. Empirical findings reveal that environmental knowledge and performance expectancy positively and significantly influence behavioral intention. In contrast, overloaded information has a negative impact on behavioral intention. Moreover, subjective norms are significantly and positively related to behavioral intention. The research outcomes further disclose that perceived risk is positively and significantly related to behavioral intention. Finally, behavioral intention has a significant and positive association with WTP for EVs. The study contributes to the literature on sustainable consumption behavior and provides academics and practitioners with essential future directions.

Suggested Citation

  • ShiYong Zheng & Hua Liu & Weili Guan & Yuping Yang & JiaYing Li & Shah Fahad & Biqing Li, 2022. "Identifying Intention-Based Factors Influencing Consumers’ Willingness to Pay for Electric Vehicles: A Sustainable Consumption Paradigm," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16831-:d:1004265
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    as
    1. 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.
    2. Peng Cheng & Zhe Ouyang & Yang Liu, 2020. "The effect of information overload on the intention of consumers to adopt electric vehicles," Transportation, Springer, vol. 47(5), pages 2067-2086, October.
    3. Ng, Mark & Law, Monica & Zhang, Serene, 2018. "Predicting purchase intention of electric vehicles in Hong Kong," Australasian marketing journal, Elsevier, vol. 26(3), pages 272-280.
    4. Mathew Thomas Gil & Jayanth Jacob, 2018. "The relationship between green perceived quality and green purchase intention: a three-path mediation approach using green satisfaction and green trust," International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 15(3), pages 301-319.
    5. Moon, Junyean & Chadee, Doren & Tikoo, Surinder, 2008. "Culture, product type, and price influences on consumer purchase intention to buy personalized products online," Journal of Business Research, Elsevier, vol. 61(1), pages 31-39, January.
    6. Haider Ali Abbasi & Satirenjit Kaur Johl & Zullina Bt Hussain Shaari & Wajiha Moughal & Muhammad Mazhar & Muhammad Ali Musarat & Waqas Rafiq & Asaad Salam Farooqi & Alexey Borovkov, 2021. "Consumer Motivation by Using Unified Theory of Acceptance and Use of Technology towards Electric Vehicles," Sustainability, MDPI, vol. 13(21), pages 1-22, November.
    7. Li, Wenbo & Long, Ruyin & Chen, Hong, 2016. "Consumers’ evaluation of national new energy vehicle policy in China: An analysis based on a four paradigm model," Energy Policy, Elsevier, vol. 99(C), pages 33-41.
    8. Keller, Kevin Lane & Staelin, Richard, 1987. "Effects of Quality and Quantity of Information on Decision Effectiveness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(2), pages 200-213, September.
    9. 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.
    10. Hong-Sheng Chang & Han-Liang Hsiao, 2008. "Examining the casual relationship among service recovery, perceived justice, perceived risk, and customer value in the hotel industry," The Service Industries Journal, Taylor & Francis Journals, vol. 28(4), pages 513-528, May.
    11. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    12. Jacoby, Jacob & Speller, Donald E & Berning, Carol A Kohn, 1974. "Brand Choice Behavior as a Function of Information Load: Replication and Extension," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 1(1), pages 33-42, June.
    13. Arifa Tanveer & Shihong Zeng & Muhammad Irfan & Rui Peng, 2021. "Do Perceived Risk, Perception of Self-Efficacy, and Openness to Technology Matter for Solar PV Adoption? An Application of the Extended Theory of Planned Behavior," Energies, MDPI, vol. 14(16), pages 1-24, August.
    14. Liu, Xiaoxi & Razzaq, Asif & Shahzad, Mohsin & Irfan, Muhammad, 2022. "Technological changes, financial development and ecological consequences: A comparative study of developed and developing economies," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    15. Wang, Shanyong & Wang, Jing & Lin, Shoufu & Li, Jun, 2019. "Public perceptions and acceptance of nuclear energy in China: The role of public knowledge, perceived benefit, perceived risk and public engagement," Energy Policy, Elsevier, vol. 126(C), pages 352-360.
    16. Guomin Li & Wei Li & Zihan Jin & Zhihao Wang, 2019. "Influence of Environmental Concern and Knowledge on Households’ Willingness to Purchase Energy-Efficient Appliances: A Case Study in Shanxi, China," Sustainability, MDPI, vol. 11(4), pages 1-18, February.
    17. Xiaofeng Su & Anxin Xu & Wenhe Lin & Youcheng Chen & Songtao Liu & Wenxing Xu, 2020. "Environmental Leadership, Green Innovation Practices, Environmental Knowledge Learning, and Firm Performance," SAGE Open, , vol. 10(2), pages 21582440209, May.
    18. Gnann, Till & Stephens, Thomas S. & Lin, Zhenhong & Plötz, Patrick & Liu, Changzheng & Brokate, Jens, 2018. "What drives the market for plug-in electric vehicles? - A review of international PEV market diffusion models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 158-164.
    19. Wenbo Li & Ruyin Long & Hong Chen & Jichao Geng, 2017. "Household factors and adopting intention of battery electric vehicles: a multi-group structural equation model analysis among consumers in Jiangsu Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(2), pages 945-960, June.
    20. F. Testa & F. Iraldo & A Vaccari & E. Ferrari, 2015. "Why Eco‐labels can be Effective Marketing Tools: Evidence from a Study on Italian Consumers," Business Strategy and the Environment, Wiley Blackwell, vol. 24(4), pages 252-265, May.
    21. Vanduy Tran & Shengchuan Zhao & El Bachir Diop & Weiya Song, 2019. "Travelers’ Acceptance of Electric Carsharing Systems in Developing Countries: The Case of China," Sustainability, MDPI, vol. 11(19), pages 1-22, September.
    22. White, Lee V. & Sintov, Nicole D., 2017. "You are what you drive: Environmentalist and social innovator symbolism drives electric vehicle adoption intentions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 94-113.
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