Predicting determinants of consumers' purchase motivation for electric vehicles: An application of Maslow's hierarchy of needs model

Lixin Cui, Yonggui Wang, Weiming Chen, Wen Wen and Myat Su Han

Energy Policy, 2021, vol. 151, issue C

Abstract: Adopting electric vehicles (EVs) is regarded as one of the leading solutions to environmental issues. However, recent research on the promotion of EVs adoption focuses on perceptions and attitudes towards EVs and neglects the importance of different human needs in consumers' purchase decision-making processes. Maslow's Hierarchy of Needs model provides a basic concept stating different human needs which play essential roles in shaping consumers purchase behaviors towards a particular product or service. Based on Maslow's Hierarchy of Needs model, this study predicts the determinants of consumers' purchase motivation for EVs. Data were collected from 550 Chinese residents and analyzed using multiple regression analysis. Result shows that environmental concern is the most significant predictor of EVs purchase motivation, followed by price consciousness, openness to experience, social influence, and self-esteem. From a practical point of view, we make useful recommendations for local policymakers to formulate and implement policies regarding promoting EVs adoption among society. We also provide global EVs marketers and manufacturers with a deeper understanding of Chinese consumers' motivation to purchase EVs.

Keywords: Purchase motivation; Electric vehicles; Maslow's hierarchy of needs model; Multiple regression analysis; China (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301421521000367
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:151:y:2021:i:c:s0301421521000367

DOI: 10.1016/j.enpol.2021.112167

Access Statistics for this article

Energy Policy is currently edited by N. France

More articles in Energy Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().