Zhao Xiaolei, Hu Hui, Yuan Hongjie, Chu Xin
School of Economics and Management, Beijing Jiaotong University, Beijing, 100044, China.
Center for Economic Development Research, Wuhan University, Wuhan, 430072, China.
Heliyon. 2023 Sep 19;9(9):e20296. doi: 10.1016/j.heliyon.2023.e20296. eCollection 2023 Sep.
We investigate the effect of the adoption of electric vehicles (EVs) on CO emissions using spatial econometric models and have three findings. First, there are spatial spillover effects of EV adoption on CO emissions, implying that the CO mitigation of a city depends on local sales of EVs and sales of EVs in neighboring cities. A 1% increase in the sale of EVs in a city can reduce CO emissions locally by 0.096% and by 0.087% in a nearby city. Second, EVs indirectly impact CO emissions through the substitution effect, energy consumption effect, and technological effect. The overall impact of EV adoption on CO emissions is negative. Finally, we demonstrate the moderating effect of urban energy structure on EVs' CO emissions mitigation. A 1% increase in the proportion of renewable energy generation increases the decarbonization of EVs by 0.036%. These findings provide policy implications for the coordinated development of EV market and energy system.
我们使用空间计量模型研究了电动汽车（EV）的采用对一氧化碳（CO）排放的影响，并得出了三个发现。第一，电动汽车采用对CO排放存在空间溢出效应，这意味着一个城市的CO减排取决于当地电动汽车的销量以及邻近城市的电动汽车销量。一个城市电动汽车销量增加1%，可使当地CO排放量减少0.096%，附近城市减少0.087%。第二，电动汽车通过替代效应、能源消耗效应和技术效应间接影响CO排放。采用电动汽车对CO排放的总体影响是负面的。最后，我们证明了城市能源结构对电动汽车CO减排的调节作用。可再生能源发电量占比增加1%，可使电动汽车的脱碳程度提高0.036%。这些发现为电动汽车市场与能源系统的协调发展提供了政策启示。
