Factors Influencing Adoption Intention for Electric Vehicles under a Subsidy Deduction: From Different City-Level Perspectives

Jingnan Zhang, Shichun Xu, Zhengxia He, Chengze Li and Xiaona Meng
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Jingnan Zhang: School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
Shichun Xu: School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China
Zhengxia He: School of Economics, Hangzhou Normal University, Hangzhou 311121, China
Chengze Li: China Bureau of Scientific Research Management of Chinese Academy of Social Sciences, Beijing 100732, China
Xiaona Meng: School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China

Sustainability, 2022, vol. 14, issue 10, 1-24

Abstract: The popularization of electric vehicles (EVs) is beneficial to the sustainable development of energy and the environment. China’s promotion and development strategy for EVs will serve as a model for other countries. EV ownership has a significant difference between first/second-tier (FST) cities and third/fourth-tier (TFT) cities and there is a huge growth potential for the EV market in those TFT cities. This paper aims to explore the factors influencing the adoption intentions for EVs in FST and TFT cities under a subsidy deduction and to make a comparative analysis of their regional heterogeneity. Based on the extended theory of planned behavior (TPB) model, the structural equation model is used to compare the factors affecting the adoption intention for EVs of 858 respondents in China. The results show that attitude, subjective norms, novelty seeking, non-financial incentive, product cognition, and environmental concerns are positively related to intention in FST and TFT cities; however, infrastructure development only has a positive significant impact in the TFT cities. Additionally, the subsidy deduction has a more negative impact on the adoption intentions in FST cities. Our findings provide vital insights for formulating government regulations and marketing strategies depending on the diverse sizes and attributes of Chinese cities.

Keywords: electric vehicle; adoption intention; subsidy deduction; influencing factor; comparative analysis; city level (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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