Examining Shanghai Consumer Preferences for Electric Vehicles and Their Attributes
Yongyou Nie,
Enci Wang,
Qinxin Guo and
Junyi Shen
Additional contact information
Yongyou Nie: School of Economics, Shanghai University, 99 Shangda Road, Baoshan, Shanghai 200444, China
Enci Wang: School of Economics, Shanghai University, 99 Shangda Road, Baoshan, Shanghai 200444, China
Qinxin Guo: Graduate School of Economics, Kobe University, Kobe University, 2-1 Rokkodai, Nada, Kobe 657-8501, Japan
Sustainability, 2018, vol. 10, issue 6, 1-16
Abstract:
In this study, we conducted a stated choice survey in Shanghai in order to examine the attitudes of Shanghai residents towards electric vehicles and their attributes. Multinomial Logit and Random Parameter Logit models were used to analyze the response data for three samples—the full sample, a subsample of potential electric vehicle purchasers, and a subsample of unlikely electric vehicle purchasers. We found that the respondents in each of the three groups preferred electric vehicles with a longer driving range, a shorter charging time, a faster maximum speed, lower pollution emissions, lower fuel cost, and a lower price. However, an overlong driving range seems not to be a must for potential electric vehicles (EV) purchasers. In addition, a comparison of the two subsamples showed that potential electric vehicle purchasers were willing to pay more than their counterparts for enhancing vehicle attributes. We also investigated the determinants of likely electric vehicle purchase and found a number of demographic characteristics that were statistically significant.
Keywords: electric vehicles; preferences; stated choice experiment; willingness to pay; Random Parameter Logit model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
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Working Paper: Examining Shanghai Consumer Preferences for Electric Vehicles and Their Attributes (2017) 
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:6:p:2036-:d:152788
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