Research on Real Purchasing Behavior Analysis of Electric Cars in Beijing Based on Structural Equation Modeling and Multinomial Logit Model

Qingyou Yan, Guangyu Qin, Meijuan Zhang and Bowen Xiao
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Qingyou Yan: School of Economic & Management, North China Electric Power University, Beijing 102206, China
Guangyu Qin: School of Economic & Management, North China Electric Power University, Beijing 102206, China
Meijuan Zhang: School of Economic & Management, North China Electric Power University, Beijing 102206, China
Bowen Xiao: School of Economics and Management, Beihang University, Xueyuan Road, Haidian District, Beijing 100191, China

Sustainability, 2019, vol. 11, issue 20, 1-15

Abstract: At present, electric cars are being developed rapidly in China as emerging carbon emission reduction vehicles, but their proportion in the Chinese automobile market is still small, and a large number of potential consumers are still holding a wait-and-see attitude. Therefore, for the sake of promoting the further development of electric cars in China, this paper based on the TPB (Theory of Planned Behavior) theoretical research framework, investigates potential consumers in typical areas of Beijing and collects a large amount of data through the design of paper and electronic questionnaires. SEM (Structural Equation Modeling) and MNL (Multinomial Logit Model) models are used to analyze key factors affecting consumers’ purchase intention and actual purchasing behavior. The results show that the positive and negative attributes of consumers’ attitude, subjective norm, and perceived behavior control will have different effects on consumers’ actual purchasing behavior. Finally, based on the analysis results, some reasonable suggestions are proposed for the government and EV (Electric Vehicles) enterprise service providers to increase electric vehicle diffusion.

Keywords: electric cars; theory of planned behavior; structural equation modeling; multinomial logit model; purchase intention; real purchasing behavior (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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