Data Analysis and Measurement of Shaanxi Province Green Total Factor Productivity under SBM-DEA Model

Abstract

Based on the data of supply-side reform and green finance development in Shaanxi Province and 10 cities in the province, this study measured the green total factor productivity of Shaanxi Province through the improved SBM-DEA model. The indicators ratios are all greater than 1, showing an overall growth trend, with an average annual growth rate of 2.64%. However, the supply-side reform of Shaanxi Province showed a big difference in terms of technological progress, which was only 0.953 in 2016. What's more, the growth of the efficiency of technological progress shows a tortuous growth trend. The largest growth value appeared in 2017, reaching 1.081, and in 2020 it was 1.049. This shows that there is still room for improvement in Shaanxi's supply-side reform. At the same time, in order to more accurately describe the impact of green finance on green total factor productivity, this paper constructed two indicators including financing and investment of green gold, and used the GMM panel model to verify the correlation between the two. The regression coefficients of the green financing scale and the green investment scale to green total factor productivity in Shaanxi Province are 0.56866 (significant level of 5%) and 0.21781 (significant level of 1%), which indicates that the expansion of green financial credit scale and investment scale can directly promotes the improvement of Shaanxi's green total factor productivity. The increase in the scale of green credit has a more important impact on the supply-side reform. This also reflects that the overall efficiency of Shaanxi's green investment is not high enough. The promoting role of the impact on the supply side needs to be further improved.