A Study on the Effect and Mechanism of Data Factors on Green Ecological Efficiency
LIU Pei1,2
1. School of Economics, Zhengzhou University of Aeronautics, Zhengzhou, 450046, China; 2. Post-Doctoral Moving Station of Applied Economics, Henan University,Kaifeng, 475004, China
Abstract Data factors have become one of the basic production factors besides labor, capital, land and technology in the new development pattern. In order to analyze the influence and action path of data elements on green ecological efficiency, this paper measures the green ecological efficiency from the perspective of data factor index and data elements by using entropy method, SBM direction distance function and Malmquist-Luenberger function, and examines the influence effect and mechanism of data elements on green ecological efficiency. The results are as follows: (i) The improvement effect of data elements on green ecological efficiency is obvious. After using the two-stage least square method (IV-2SLS) under tool variables and the system GMM method for estimation, the results are still significant and passed a variety of robustness tests; (ii) The results of the impact mechanism indicate that the improvement of green ecological efficiency by data factors is mainly achieved through the upgrading effect of industrial structure, market scale effect, and technological progress effect. That is, data factors achieve the improvement of green ecological efficiency by promoting the advanced process of regional industrial structure, expanding the scale of market information application of data elements, and market technological progress effect; (iii) The heterogeneity results show that the improvement of the level of data elements has a greater impact on the market in areas with low liquidity and market size, and the more significant the effect is. In the eastern region with high concentration of market factors and other areas with better integration of production factors, the market impact effect of data factors is large and significant.