详细信息
Diffusion of electric vehicles - The spillover effect of charging facilities and government demonstrations for neighbouring and peer regions ( EI收录)
文献类型:期刊文献
英文题名:Diffusion of electric vehicles - The spillover effect of charging facilities and government demonstrations for neighbouring and peer regions
作者:Zhu, Ronghui[1];Ma, Tieju[2,3];Feng, Jingbing[1]
机构:[1]East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200230, Peoples R China;[3]Int Inst Appl Syst Anal IIASA, Laxenburg, Austria
年份:2026
卷号:155
外文期刊名:ENERGY ECONOMICS
收录:;EI(收录号:20260519977056);WOS:【SSCI(收录号:WOS:001679953900001)】;
基金:This work was supported by the National Natural Science Foundation of China (Grant numbers 72131007 and 72140006) .
语种:英文
外文关键词:Spatial diffusion; Electric vehicle; Spatial Durbin model (SDM); Spatial spillover effect
摘要:Promoting the adoption of electric vehicles (EVs) is important for the decarbonisation of the transportation sector. Existing research indicates that the diffusion of new technologies tends to be highly spatially correlated. This study explores whether a region's adoption of EVs is positively related with the availability of charging facilities and government demonstrations promoting EVs in peer regions. This study develops a dynamic spatial panel data model based on the Spatial Dubin Model to explore this question using panel data from 28 provinces in China from 2013 to 2020. The main findings of this study include the following: 1) Not surprisingly, the high availability of charging facilities in a region and its local government's demonstration effort contribute to the adoption of EVs in the region; 2) the adoption of EVs in one region can contribute to EV adoption in its peer regions - so-called spillover effect; in particular, the government's demonstration effort contributes significantly to this effect, but the high availability of charging facilities does not; and 3) such spillover effects are more significant in regions with higher economic levels or regions with warm temperatures. Our study provides implications for EV makers to identify further potential markets for EVs.
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