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Asymmetric preference and loss aversion for electric vehicles: The reference-dependent choice model capturing different preference directions

Junghun Kim, Hyunchan Seung, Jongsu Lee and Joongha Ahn

Energy Economics, 2020, vol. 86, issue C

Abstract: Greenhouse emissions from internal combustion engines have become a serious social issue. As of 2019, most vehicles in the South Korean car market have internal combustion engines. Although the South Korean government is adopting and implementing various policies to facilitate the penetration of battery electric vehicles (EVs) in the car market, its efforts have been in vain. Several studies on EV diffusion strategies have analyzed consumer preference for EVs using discrete choice experiments with virtual alternatives. However, they do not consider that consumers choose a new product based on the properties of products they already own; this aspect has a significant effect on consumer preferences and has several implications. Therefore, this study uses a discrete choice model with a reference point to investigate asymmetric consumer preferences for the major attributes of EVs and analyzes the related loss aversion parameters. The results are then used to conduct a sensitivity analysis for fuel efficiency and infrastructure attribute to explore which factor is more influential to consumers' EVs choice probability.

Keywords: Alternative fuel vehicles; Conjoint analysis; Discrete choice model; Reference point; Reference-dependent preference; Loss aversion parameter (search for similar items in EconPapers)
JEL-codes: C11 C18 D11 D81 O33 Q42 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:86:y:2020:i:c:s0140988320300050

DOI: 10.1016/j.eneco.2020.104666

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Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

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