Chinese Consumers’ Purchase Intention of Electric Car Innovation

Main Article Content

Yiqing Dou
Woranat Sangmanee
Wawmayura Chamsuk


This study aims to delve into the multifaceted influencing factors of electric car purchase intention within the dynamic landscape of the Chinese automotive market. By constructing a comprehensive conceptual model and integrating insights from both the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM), alongside an in-depth analysis of the practical context of the Chinese new energy vehicle market, we designed an extensive online questionnaire. This questionnaire was strategically distributed across three major provinces in China to ensure a diverse and representative sample. With 316 valid responses meticulously collected, our rigorous data analysis employed the latest statistical techniques using SPSS 25.0. Structural Equation Modeling (SEM) was then applied to dissect and elucidate the intricate relationships among the variables under investigation. The research findings are as follows:

1. Perceived ease of use significantly enhances perceived usefulness, thereby shaping consumer attitudes towards electric vehicles (EVs). This finding not only sheds light on the importance of user-friendly design and interface but also underscores the significance of seamless integration of EV technology into consumers' daily lives.

2. Subjective norms emerged as a significant influence on purchase intentions, highlighting the role of societal perceptions and pressures. This highlights the intricate interplay between individual decision-making and broader socio-cultural influences within the Chinese context.

3. Chinese consumers' intentions to purchase EVs are significantly influenced by their perceptions of ease of use and usefulness, their attitudes towards EVs, and the societal norms they are exposed to. Addressing these factors strategically can facilitate the development of the EV market in China.

4. This research bridges the gap between technology acceptance theories and their practical application in the context of EVs in China. By integrating TPB and TAM and applying them to real-world settings, the study offers a comprehensive understanding of consumer behavior in the emerging EV market.

Article Details

How to Cite
Dou, Y., Sangmanee, W. ., & Chamsuk, W. (2024). Chinese Consumers’ Purchase Intention of Electric Car Innovation. Journal of Multidisciplinary in Humanities and Social Sciences, 7(2), 1150–1167. Retrieved from
Research Articles


Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior Human Decision Processes, 50(2), 179-211.

Azmi, A. C., & Bee, N. L. (2010). The acceptance of the e-filing system by Malaysian taxpayers: a simplified model. Electronic Journal of e-Government, 8(1), 13-22.

Buchanan, T., Sainter, P., & Saunders, G. (2013). Factors affecting faculty use of learning technologies: Implications for models of technology adoption. Journal of Computing in Higher Education, 25(1), 1-11.

Chien, S.-E. et al. (2019). Age difference in perceived ease of use, curiosity, and implicit negative attitude toward robots. ACM Transactions on Human-Robot Interaction, 8(2),

Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–334.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

Djamasbi, S., Fruhling, A., & Loiacono, E. (2009). The influence of affect, attitude and usefulness in the acceptance of telemedicine systems. Journal of Information Technology Theory and Application (JITTA), 10(1), 4.

Florenthal, B., & Arling, P. (2011). Do green lifestyle consumers appreciate low involvement green products?. Marketing Management Journal, 21(2), 35-45.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

Guritno, S., & Siringoringo, H. (2013). Perceived usefulness, ease of use, and attitude towards online shopping usefulness towards online airlines ticket purchase. In Procedia-Social and Behavioral Sciences, 81, 212-216.

Hair, J., Anderson, R., Tatham, R., & Black, W. (1998). Multivariate data analysis. (5th ed.). Prentice Hall, New Jersey.

Ham, M., Jeger, M., & Frajman Ivković, A. (2015). The role of subjective norms in forming the intention to purchase green food. Economic research-Ekonomska istraživanja, 28(1), 738-748.

Hansen, J. M., Saridakis, G., & Benson, V. (2018). Risk, trust, and the interaction of perceived ease of use and behavioral control in predicting consumers’ use of social media for transactions. Computers in Human Behavior, 80, 197-206.

He, Y., Wang, K., & Zhang, L. (2019). Challenges and countermeasures of electric vehicle industry development in China. Journal of Cleaner Production, 215, 1540-1547.

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration (IJEC), 11(4), 1-10.

Lam, T., & Hsu, C. H. (2004). Theory of planned behavior: Potential travelers from China. Journal of Hospitality Tourism Research, 28(4), 463-482.

Liu, Y., & Santos, G. (2018). Policy-driven peaks of electric vehicles in China: Lessons learned and future predictions. Energy Policy, 122, 1-12.

Maichum, K., Parichatnon, S., & Peng, K.-C. (2016). Application of the extended theory of planned behavior model to investigate purchase intention of green products among Thai consumers. Sustainability, 8(10), 1077.

Marangunić, N., & Granić, A. (2015). Technology acceptance model: A literature review from 1986 to 2013. Universal Access in the Information Society, 14, 81-95.

Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2, 173-191.

Moslehpour, M. et al. (2018). e-Purchase intention of Taiwanese consumers: Sustainable mediation of perceived usefulness and perceived ease of use. Sustainability, 10(1), 234. DOI:10.3390/su10010234

Nasri, W., & Charfeddine, L. (2012) Factors affecting the adoption of internet banking in Tunisia: An integration theory of acceptance model and theory of planned behaviour. The Journal of High Technology Management Research, 23, 1-14.

Nunnally, J.C., & Bernstein, I.H. (1994) The Assessment of Reliability. Psychometric Theory, 3, 248-292.

Ou, X., Zhang, X., & Chang, S. (2010). Scenario analysis on alternative fuel/vehicle for China's future road transport: Life-cycle energy demand and GHG emissions. Energy Policy, 38(8), 3943-3956.

Pascal, V. J., Sprott, D. E., & Muehling, D. D. (2002). The influence of evoked nostalgia on consumers' responses to advertising: An exploratory study. Journal of Current Issues & Research in Advertising, 24(1), 39-47.

Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903.

Singh, R. P., & Banerjee, N. (2018). Exploring the influence of celebrity credibility on brand attitude, advertisement attitude and purchase intention. Global Business Review, 19(6), 1622-1639.

Sun, Q., Zhang, Q., & Li, J. (2019). Consumer preferences and purchase intention for electric vehicles in China. Journal of Cleaner Production, 212, 1471-1482.

Wang, J., Liu, C., & Ton, S. (2020). Electric vehicle market penetration and its effect on greenhouse gas emissions reduction in China. Energy Policy, 137, 111090.

Yaghoubi, N. M., & Bahmani, E. (2010). Factors affecting the adoption of online banking: An integration of technology acceptance model and theory of planned behavior. International Journal of Business and Management, 5(9), 159-165.

Yang, Z., Liu, J., Qin, Y., & Zhang, J. (2016). A review of the Chinese electric bus market and outlook for the future. Renewable and Sustainable Energy Reviews, 62, 648-659.

Zhang, Y., & Qin, B. (2018). A review of policy support and technological progress of China's new energy vehicle industry. Renewable and Sustainable Energy Reviews, 91, 445-456.

Zhou, B., Wu, Y., & Zhou, B. (2020). Consumer preferences and policy implications for electric vehicle adoption in China. Energy Policy, 141, 111468.