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Consumer preferences and willingness to pay for electric vehicles in China


Citation

Hong, Xuefei and W. Mohamad, Wan Norhidayah and Samdin, Zaiton and Abdul Samad, Abdul Rahim (2024) Consumer preferences and willingness to pay for electric vehicles in China. Polish Journal of Environmental Studies, 33 (6). pp. 6153-6165. ISSN 1230-1485

Abstract

In light of the growing environmental concerns and the urgent need to reduce carbon emissions, the adoption of electric vehicles (EVs) plays a pivotal role in transforming the automotive industry towards sustainability. In China, the promotion of EVs dates back to 2009, and EVs have lower consumer acceptance than conventional fuel vehicles. The large financial subsidies that are frequently employed to encourage the proliferation of EVs are not long-term viable. As a result, it suggests that research into the inherent qualities and features of EVs itself has to be refocused. This study examines consumer preferences and willingness to pay (WTP) for EVs’ attributes using the choice experiment (CE) method in Shandong, China. The assessed attributes were driving range, seats, battery warranty period, charging time, and price. Finally, the data from 330 valid responses was examined using conditional logit (CL) and mixed logit models (MXL). The results reveal that the most preferred attribute was an extension of the battery warranty duration, which led to a WTP ranging from CNY626,352 to CNY1,141,580 (US$98,485 to US$170,385) among the different models. Furthermore, the outcomes indicate distinct consumer preferences based on gender, age, education, and income. These findings have significant implications for policymakers in developing the EV industry.


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Additional Metadata

Item Type: Article
Divisions: School of Business and Economics
DOI Number: https://doi.org/10.15244/pjoes/184151
Publisher: HARD Publishing Company
Keywords: China; Choice experiment; Consumer preference; Electric vehicles; Willingness to pay
Depositing User: Ms. Azian Edawati Zakaria
Date Deposited: 14 Nov 2024 03:18
Last Modified: 14 Nov 2024 03:18
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.15244/pjoes/184151
URI: http://psasir.upm.edu.my/id/eprint/113621
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