China’s Pollution-Intensive Industry Transfer Path and Driving Factors—An Empirical Study Based on Spatial Panel Model

Abstract

In this paper, global spatial autocorrelation analysis and spatial Durbin model regression analysis of spatial panel data from 30 regions in China from 2002 to 2014 are carried out to explore the diversion path and driving factors of China’s pollution-intensive industries from the perspective of spatial correlation. The results show that the spatial distribution of regional pollution intensive industry in China has significant ly spatial dependence . The pollution-intensive industries in various regions continue to carry out spatial dynamic transitions, roll-in and roll-out, and the central and western regions undertake the pollution intensive enterprises which transferred from the eastern coastal areas. In terms of driving factors of pollution intensive industries transfer, agglomeration, transportation infrastructure, technological progress and capital investment , which have played a positive role in promoting, labor costs have a negative effect . Environmental regulation of pollution intensive industry transfer has a dual role, namely “crowding out” and “innovation effect”. It is recommended that pollution-intensive enterprises should have scientific planning and follow the correct transfer path.