Citizens’ electric vehicle purchase intentions in China: An analysis of micro-level and macro-level factors

Given the pressure to adopt more sustainable transportation modes, a number of governments have adopted policies to increase the use of electric vehicles (EVs). Yet, there are few national surveys of citizens' intentions to purchase EVs. Using a nationwide survey with 1080 respondents in China, this article examines the determinants of Chinese citizens' intentions to purchase EVs. The survey results suggest that if Chinese citizens have a wide social network and if they know someone who already owns an EV, their intention to purchase an EV is very high. Other micro-level factors, such as age and education, have significant effects, but their magnitudes are lower. Macro-level factors such as air pollution and EV charging infrastructure don't drive intentions to purchase EVs. Drawing on these results, the article offers recommendations for businesses and policymakers who seek to reduce the consumption of fossil fuels and to increase the adoption of sustainable transport solutions.

• Record URL:
  https://doi.org/10.1016/j.tranpol.2019.05.008
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0967070X18302361
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/29485010
• Supplemental Notes:
  • © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Habich-Sobiegalla, Sabrina
  • Kostka, Genia
  • Anzinger, Niklas
• Publication Date: 2019-7

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 223-233
• Serial:
  • Transport Policy
  • Volume: 79
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0967-070X
  • Serial URL: http://www.elsevier.com/locate/issn/096707X

Subject/Index Terms

• TRT Terms: Automobile ownership; Decision making; Electric vehicles; Mode choice; Sustainable transportation
• Geographic Terms: China
• Subject Areas: Highways; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01709602
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 28 2019 5:12PM