Research on the Influencing Factors and Spatio-Temporal Nonstationarity of Provincial Green Total Factor Productivity in China
Analysis of the impact mechanism of green total factor productivity(GTFP)in China is important for formulating the path of economic development to improve quality and efficiency.This paper uses the SBM-GML model to measure the green total factor productivity of 30 provinces in China from 2000 to 2020,and uses the global regression model(OLS),temporally weighted regression model(TWR),geographically weighted regression model(GWR)and geographically and temporally weighted regression model(GTWR)to analyze the influencing factors of China's GTFP.The empirical research shows that the impact mechanism of GTFP in China is obviously spatial temporal non-stationary.During the study period,per capital GDP has a positive effect on the growth of green total factor productivity,and the impact effect presents a U-shaped change with the inflection point around 2010;the proportion of the tertiary industry,R&D investment intensity and environmental regulation intensity have different directions and intensities on the growth of GTFP in different time and space;per capital stock has a negative effect on GTFP in most provinces;the proportion of FDI and higher education employment has a positive effect on the growth of green total factor productivity in the most regions,and show a decreasing trend.Based on the research results,this article puts forward the following suggestions to improve GTFP:(1)China should comprehensively promote economic growth;(2)Formulating regional industrial structure optimization objectives according to local conditions;(3)Slowing down the process of capital deepening;(4)Increasing efforts to introduce technology-based foreign direct investment;(5)Improving the input-output mechanism of R&D and emphasize the benefits of innovation and output;(6)Reforming the talent training mechanism,and change the talent training mode from discipline to social demand oriented;(7)Establishing a collaborative monitoring mechanism between environmental protection and economic development,and deferentially determining the strength and rationality of environmental regulation.
green total factor productivityinfluence factorsgeographically and temporally weighted regression(GTWR)spatial-temporal non-stationary
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