Battery recycling policies for boosting electric vehicle adoption: evidence from a choice experimental survey

Huang, X., Lin, Y., Liu, F., Lim, M. K. and Li, L. (2022) Battery recycling policies for boosting electric vehicle adoption: evidence from a choice experimental survey. Clean Technologies and Environmental Policy, 24(8), pp. 2607-2620. (doi: 10.1007/s10098-022-02340-y)

Abstract

Electric vehicles must be widely accepted because of environmental concerns and carbon restrictions. Previous research has looked at consumer policy preferences and their influence on electric vehicle adoption. However, none have investigated the impact of policies linked to battery recycling on electric vehicle adoption. This study used a discrete choice model (the panel-data mixed logit model) to evaluate 552 actual consumer choice data from Southwest China collected via an online questionnaire. Our results indicate that (1) 75% of respondents feel that electric vehicles enhance the environment and are eager to embrace them. However, the lack of strong recycling policies may hinder their adoption of electric vehicles. Specifically, the four battery recycling policies significantly impact electric vehicle adoption. (2) Consumers appreciate producer-oriented incentives more than consumer-oriented incentives to a lesser extent, such as mandated battery recycling policies and electric vehicle battery flow tracing policies. (3) Consumers place a larger willingness to pay on charging station density than vehicle attributes. (4) Regarding consumer heterogeneity, the usual young group in higher-rated cities prefers electric vehicles, while customers who own a car are more inclined to buy electric vehicles. Finally, more management insights and policy recommendations are provided based on these findings to help government and producer policymakers.

• Item Type: Articles
• Additional Information: This study is supported by the Chinese National Funding of Social Science (Grant No. 18BJY066).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Lim, Professor Ming
• Authors: Huang, X., Lin, Y., Liu, F., Lim, M. K., and Li, L.
• College/School: College of Social Sciences > Adam Smith Business School > Management
• Journal Name: Clean Technologies and Environmental Policy
• Publisher: Springer
• ISSN: 1618-954X
• ISSN (Online): 1618-9558
• Published Online: 07 June 2022
• Copyright Holders: Copyright © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
• First Published: First published in Clean Technologies and Environmental Policy 24(8): 2607-2620
• Publisher Policy: Reproduced in accordance with the publisher copyright policy