The internationalization of China's new energy vehicles is related to the sustainable development of the automobile industry,so it is necessary to grasp the international trade struc-ture of new energy vehicles.Based on the social network analysis method,the global new ener-gy vehicle trade data from 2017 to 2020 were selected as samples to study the structural charac-teristics of the trade network and analyze the influencing factors of trade network with the Qua-dratic Assignment Procedure(QAP)method.The study shows that:(1)The global new energy vehicle trade network has low density and reciprocity & high correlation;(2)There is a high over-lap of countries with high centrality,high core degree and active both internal and external trade in the network,and three core regions-Europe,North America and East Asia based on the Unit-ed States,Germany,Belgium,Japan and South Korea-have been formed with significant region-al synergies;(3)Economic differences contribute to the establishment of trade relations but play a weakening role,industry chain complementarity contributes to trade intensity,harmonization of policies and consensus building have a more significant effect on trade than tariff preferences,and geographical distance hinders trade establishment and plays a stable role.The COVID-19 has accelerated the above trends and significantly increased the impact of the factor of land prox-imity.Therefore,the Chinese government should strengthen regional cooperation,increase infra-structure investment,and apply policies flexibly to avoid over-reliance on subsidies.
new energy vehicle tradeinternational trade networkcomplex networkssocial network theoryQAP method