Abstract: This paper evaluates industrial greening level based on the panel data of 30 provinces from 2007 to 2016 and weighted TOPSIS method by constructing the industrial greening indicator system from resource consumption greening, waste discharge greening and industrial transformation greening and demonstrates spatial difference of inter-provincial industrial greening by Theil's Entropy index, Gini coefficient and variation coefficient in China. The result shows that:firstly, the industrial greening level from high to low is the eastern region, the central region, the western region and the northeast region in turn and the eastern region is rising steadily, the central and western regions are relatively stable and the northeast region has a significant downward trend; secondly, the overall change of spatial difference of inter-provincial industrial greening is not large, and trend of spatial difference of inter-provincial industrial greening measured by Theil's Entropy index, Gini coefficient and variation coefficient shows obvious synchronization; thirdly, the space difference of inter-provincial industrial greening is becoming smaller in same region, while the space difference of inter-provincial industrial greening is slightly larger in different regions through spatial decomposition of Theil's Entropy index.

Key words: industrial greening, weighted TOPSIS method, spatial difference, Theil’s Entropy index decomposition