会议时间：2023年11月22日14:30-15:30
报 告 人：张连奎
会议地点：劝学楼225/#腾讯会议：637-536-872
内容简介：In previous research investigating the spillover effects of PM2.5 pollution, the relationships between cities were commonly assumed to be symmetric. However, such an assumption may not always be true given the complexity of the socioeconomic and spatiotemporal relationships between cities. In this paper, we propose a sequential pattern mining method with a novel spatial weight matrix to discover the spatiotemporal relationships of PM2.5 pollution between cities. By studying the cities in the Beijing-Tianjin-Hebei (BTH) region of China from 2000 to 2018, asymmetry can be observed by our method when investigating the spillover effects of PM2.5 pollution. The results show that a previous spatial weight matrix, such as adjacency matrix overestimates the spillover effect of BTH by 6.06%. Compared with conventional approaches, the empirical model based on our method is more consistent with the transport mechanism of air pollutants, and the results show that our method can more accurately identify the socioeconomic driving factors of PM2.5 pollution. The asymmetric relationship discovered in this paper is beneficial to the quantitative assessment of the spillover effects of PM2.5 pollution and the establishment of joint pollution control measures.
报告人简介：
张连奎，东北财经大学公共管理学院副教授，毕业于大连理工大学，主要研究方向为大数据分析，环境政策与管理，相关研究成果发表Journal of Environmental Management、Environmental Research、Journal of Systems Science and Systems
