Research on the Factors Affecting Regional Smog in China—Based on Spatial Panel Model

摘要

Based on the PM2.5 concentration values of 30 provinces in China from 1998 to 2016, this study empirically analyzes the influencing factors of smog pollution by using spatial Durbin model. The study found that smog pollution in China has significant spatial spillover effects and spatial characteristics of high-high (low-low) aggregation. And through the method of spatial Durbin model, it is found that the smog pollution in China is time-dependent due to the significant influence of its lag term. In terms of driving factors, it is found that there is a significant inverted U-shaped curve relationship between smog pollution and economic growth. In terms of driving factors, it is found that there is a significant inverted U-shaped curve relationship between smog pollution and economic growth. The industrial structure with high proportion of the second industry, urbanization measured by urban population, and coal-based energy structure significantly aggravate the smog pollution in our country. In view of the spatial spillover effect and time lag effect of smog pollution in China, it is necessary to strengthen regional joint prevention and control. And it is also supposed to optimize industrial structure, achieve clean and efficient use of resources, rationalize urbanization, and encourage public transportation and new energy vehicles.