Factors Affecting Intention to Adopt Electric Vehicles in China
This study utilizes the Extended Theory of Planned Behavior (ETPB) and Perceived Risk Theory frameworks to investigate the factors affecting intention to adopt electric vehicles (EVs) of Chinese consumers. By incorporating environmental concern and financial incentive policy as cognitive and policy predictors beyond traditional TPB variables, this research provides a comprehensive examination of EV (electric cars) adoption behavior while exploring the moderating function of perceived risk. This study seeks to examine the relationships between environmental concern, financial incentive policy, and intention to adopt EVs, as well as how perceived risk moderates these relationships. It makes a theoretical contribution by extending TPB with cognitive-environmental and external-policy dimensions and exploring complex interaction mechanisms in China's policy-oriented market. From the practical perspective, the study offers guidance for government policy design and corporate marketing strategies in promoting sustainable transportation and renewable energy adoption. Many studies on EV adoption rely on purely psychological models, while those incorporating cognitive environmental awareness and external-policy factors in the Chinese context remain limited. The goal of this study is to address this knowledge void by providing a thorough understanding of the multi-dimensional factors driving EV adoption decisions in China.
Authors
- Lim Kim Yew (ORCID: https://orcid.org/0000-0001-9958-1236)
- Jin Jing (ORCID: https://orcid.org/0000-0002-2415-5854)
- Tan Owee Kowang (ORCID: https://orcid.org/0000-0002-4222-7006)
- Tee Poh Kiong
- Yang Chen (ORCID: https://orcid.org/0000-0002-2945-9486)
Institutions
- INTI International University (MY)
- Asia Pacific University of Technology & Innovation (MY)
- University of Technology Malaysia (MY)
Publication Details
- Journal
- International Journal of Accounting and Economics Studies
- Published
- 2025-12-03
- DOI
- https://doi.org/10.14419/xxwnnp46
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00