Research on the impact of industrial agglomeration on industrial green efficiency from the perspective of big data

Abstract

This paper uses the data of labor force, capital, all kinds of energy input, industrial pollutant emissions and output value of industries in 30 provinces and autonomous regions of China from 2011 to 2015, and uses big data and data envelopment analysis to calculate the industrial green efficiency of provinces and cities in China. At the same time, in order to explore the relationship between industrial agglomeration and industrial green efficiency, the panel regression model is used to conduct quantitative analysis. The results show that: whether from the national level or the eastern, central and western regions, industrial agglomeration can significantly promote the improvement of industrial green efficiency. Environmental regulation, industrial enterprise scale and other control variables can also significantly promote the improvement of industrial green efficiency in some areas, but not in some areas.