关键词: 中欧, 大气污染, 双边合作, 转移熵, 社会网络分析

Abstract: Air pollution is not only a serious problem related to human health but also a common challenge facing mankind. Actively exploring bilateral cooperative governance of air pollution can open up a new way to promote China-Europe relationship to a higher level and build a comprehensive strategic partnership. This paper uses web crawler technology to collect PM2. 5 daily data of cities in China and Europe from 2017 to 2019. The transfer entropy method of big data causal inference is used to quantify the degree of spatial interaction of air pollution between China and Europe, and the network structural characteristic of the spatial interaction is revealed from the perspective of network. The results show that the air pollution in China and Europe not only has stable spatial interaction, but also has strong symmetry at the regional level. The spatial correlation network of air pollution between China and Europe is holistic, global, complex, multi-thread, individual and differential. At the city level, there is no inevitable relationship between high pollution and high influence. Low pollution cities may affect multiple cities at the same time, and high pollution cities may also be affected by multiple cities. Based on the above research conclusions, this paper puts forward targeted policy recommendations for the bilateral cooperative governance of air pollution between China and Europe from different perspectives.

Key words: China and Europe, Air Pollution, Bilateral Cooperation, Transfer Entropy, Social Network Analysis