Effect of electricity generation mix on battery electric vehicle adoption and its environmental impact

Hyunhong Choi (), Jungwoo Shin and JongRoul Woo

Energy Policy, 2018, vol. 121, issue C, 13-24

Abstract: Battery electric vehicles (BEVs) are gaining much attention as the next technology paradigm in the transport sector because it can mitigate the environmental problems, such as greenhouse gas (GHG) emissions, of conventional internal combustion engine vehicles. Many countries are attempting to promote the consumer adoption of BEVs in this sense by providing subsidies and expanding their related infrastructure. The expected environmental effect of BEVs is an important factor in increasing the consumer adoption of BEVs, and the environmental impact of BEVs is directly related to the electricity generation mix. In this study, we analyze how the consumer adoption behavior of BEVs and their environmental impact can be changed by improving the environmental performance of BEVs based on the electricity generation mix. To this end, we estimate consumer preferences in vehicles by using a discrete choice experiment survey and a mixed logit model. Then, on the basis of the estimation results, we simulate changes in consumers’ vehicle adoption behavior according to various electricity generation mixes and measure the environmental impact of these changes. Analysis results show changing the electricity generation mix to renewable-oriented mix can promote BEV's market share up to 10% and reduce GHG emissions up to 5% by 2026.

Keywords: Electric vehicle; Electricity generation mix; Consumer behavior; Greenhouse gas; Discrete choice experiment; Mixed logit model (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (49)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:121:y:2018:i:c:p:13-24

DOI: 10.1016/j.enpol.2018.06.013

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