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Academic Journal of Business & Management, 2023, 5(22); doi: 10.25236/AJBM.2023.052230.

Analyzing the Determinants Affecting Chinese Consumers Willingness to Adopt Electric Vehicles


Qi Jiaqi1, Zhang Yufeng2, Chi Fengming3

Corresponding Author:
Qi Jiaqi

1Weifang University of Science and Technology, Shouguang, Shandong, China

2Cyberjaya University, Cyberjaya, Malaysia

3Beijing Technology and Business University, Beijing, China


The transition to electric vehicles (EVs) is at the forefront of global efforts to combat environmental challenges and revolutionize the future of transportation. In the context of this transformative shift, understanding the factors influencing consumers' willingness to embrace EVs is paramount. This research delves into the intricate web of determinants that shape Chinese consumers' attitudes and preferences towards electric vehicles, a critical market given China's prominence in the automotive industry and its commitment to sustainability. Drawing upon a comprehensive survey methodology, this study navigates the multifaceted landscape of consumer behavior, dissecting the key determinants that steer the course of EV adoption. The research investigates the nuanced interplay between price sensitivity, performance expectations, environmental consciousness, and brand influence, collectively illuminating the paths that lead Chinese consumers towards or away from electric mobility.


New Energy Vehicle, Intention Purchase, Electric Car

Cite This Paper

Qi Jiaqi, Zhang Yufeng, Chi Fengming. Analyzing the Determinants Affecting Chinese Consumers Willingness to Adopt Electric Vehicles. Academic Journal of Business & Management (2023) Vol. 5, Issue 22: 208-216. https://doi.org/10.25236/AJBM.2023.052230.


[1] Li, J., Jiao, J., & Tang, Y. (2019). An evolutionary analysis on the effect of government policies on electric vehicle diffusion in complex network. Energy policy, 129, 1-12.

[2] Huang, X., Lin, Y., Lim, M. K., Zhou, F., & Liu, F. (2022). Electric vehicle charging station diffusion: An agent-based evolutionary game model in complex networks. Energy, 257, 124700.

[3] Jarzebski, M. P., Elmqvist, T., Gasparatos, A., Fukushi, K., Eckersten, S., Haase, D., ... & Pu, J. (2021). Ageing and population shrinking: Implications for sustainability in the urban century. Npj Urban Sustainability, 1(1), 17.

[4] Han, L., Wang, S., Zhao, D., & Li, J. (2017). The intention to adopt electric vehicles: Driven by functional and non-functional values. Transportation Research Part A: Policy and Practice, 103, 185-197.

[5] Ferraz, D., Falguera, F. P., Mariano, E. B., & Hartmann, D. (2021). Linking economic complexity, diversification, and industrial policy with sustainable development: A structured literature review. Sustainability, 13(3), 1265.

[6] Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314-324.

[7] Jacobs, C., Soulliere, K., Sawyer-Beaulieu, S., Sabzwari, A., & Tam, E. (2022). Challenges to the circular economy: Recovering wastes from simple versus complex products. Sustainability, 14(5), 2576.

[8] Gosling, S. D., Vazire, S., Srivastava, S., & John, O. P. (2004). Should we trust web-based studies? A comparative analysis of six preconceptions about internet questionnaires. American psychologist, 59(2), 93.

[9] Simonsohn, U., Simmons, J. P., & Nelson, L. D. (2019). Specification curve: Descriptive and inferential statistics on all reasonable specifications. Available at SSRN 2694998.