Do policy mix characteristics matter for electric vehicle adoption? A survey-based exploration

Policy mixes that combine multiple policy instruments together are proposed as methods to accelerate the adoption of electric vehicles (EVs). This paper examines the links among psychological factors, policy mix characteristics, and EV purchase intention based on an extended theory of planned behavior (TPB). The empirical results from a survey in China reveal that the consistency, coherence, and credibility of policy mixes matter greatly in increasing an individual’s EV purchase intention, whereas comprehensiveness has a non-significant effect. More importantly, the consistency negatively moderates the effects of consumer attitude, subjective norm, and personal norm on purchase intention, but positively moderates the relationship between perceived behavioral control and purchase intention. This paper makes theoretical contributions by extending the TPB from a policy mix perspective, which provides new knowledge for both policy research and EV adoption literature. The findings also have policy implications for the adoption of EVs.

• Record URL:
  https://doi.org/10.1016/j.trd.2020.102488
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1361920920306751
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2020 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Li, Lixu
  • Wang, Zhiqiang
  • Wang, Qiang
• Publication Date: 2020-10

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 87
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Acceptance; Attitudes; Behavior; Consumer behavior; Electric vehicles; Policy; Purchasing; Surveys; Theory
• Subject Areas: Economics; Energy; Highways; Planning and Forecasting; Policy; Vehicles and Equipment;

Filing Info

• Accession Number: 01751818
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 14 2020 5:57PM