Abstract: We calculated the environmental pollution index based on entropy method, analyzed its spatial features of clustering and agglomerating according to Moran scatter plot and LISAgathering figures, and investigated the impact factors of environmental pollution by using thespatial panel data model. The results indicated that the environment pollution level and associated development trend of China presented a certain degree of fluctuations; however, the industrial pollution emissions were relatively stable, and household living pollution became the main source for regional pollution. In addition, the environmental pollution showed strong regional differences, featured by significant spatial clustering and agglomeration. The results also manifested that the influences of different factors on environmental pollution varied in their direction and strength. Specifically, scientific technology, openness, and environmental awareness exerted reverseinfluences on the environmental pollution. This is because the openness and scientific technology can improve environmental quality, and the environmental awareness can lead to low environmental pollution, but with time-lag effects. Based on those findings, we put forward some suggestions in related policy, including strengthening cooperation in regional environmental governance,moderating agglomeration of population space, enlarging the scale of environmental governance investment, deepening the opening up level, and encouraging innovation in industrial science and technology.

Key words: land-use regression (LUR) models, land use sample area, central urban area, atmospheric pollutant