Analysis of Influencing Factors of Urban Green Total Factor Productivity Based on Big Data and Fixed-Effect Panel Regression Method

This paper selects 11 indicators such as expected output and unexpected output of prefecture-level cities in China, with a total of 100280 data as samples. Based on the SBM model and GML index, the GTFP of prefecture-level cities in China is measured. MaxDEA 7 Ultra and Stata software were used to study the effect and internal mechanism of manufacturing market power on urban GTFP based on the double-fixed effect panel regression model. The results of the study found that: (1) After 2015, China’s urban GTFP showed a continuous growth trend. Taking 2015 as the cut-off point, the growth source of urban GTFP has gradually changed from technical efficiency to a technological progress rate. (2) The greater the contribution of the manufacturing sector to the local economy and the performance assessment of officials, the more likely it is to be exempted from strict environmental regulations, which will further inhibit the improvement of urban GTFP.