Comparative Analysis of National Policies for Electric Vehicle Uptake Using Econometric Models

Jia Yao, Siqin Xiong and Xiaoming Ma
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Jia Yao: School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Siqin Xiong: School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen 518055, China
Xiaoming Ma: School of Environment and Energy, Shenzhen Graduate School, Peking University, Shenzhen 518055, China

Energies, 2020, vol. 13, issue 14, 1-18

Abstract: As electric vehicles (EVs) have been widely discussed as a promising way to mitigate the effect of climate change, various policies have been implemented across the world to promote the uptake of EVs. Policymakers also paid attention to the density of public charging points. In this paper, we examined the impact of policies on EV markets in the post subsidy era with multiple linear regression analysis using panel data on 13 countries from 2015 to 2018. Five of the independent variables showed significantly positive effects on the 1% level in different regression models: fast/slow charger density, mandate, purchasing restriction and waiver. Subsidies showed significance only on 5% level for battery electric vehicles (BEVs). Financial stimulates have experienced a declining marginal effect, whereas a high density of fast chargers has the most significantly positive effect on EV uptake. This paper suggests policymakers can invest more in completing the public infrastructures of EVs, especially on fast charging points.

Keywords: electric vehicle; policy incentive; public charging infrastructure (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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