Foreign Trade,FDI,and China's Green Total Factor Productivity——Analysis Based on Spatial Econometric Model
Achieving the dual carbon goals,improving total factor productivity,and promoting green economic transformation are important goals for China to move towards a stage of high-quality economic development in the digital age.This paper employs a four-stage DEA method,combining the SBM model and Tobit regression to measure the green total factor productivity of 30 provinces in China from 2005 to 2020.Using foreign trade and foreign direct investment as the core explanatory variables,and industrial structure and environmental regu-lation as control variables,a spatial panel data model is constructed to explore the impacts of foreign trade and foreign direct investment on China's green total factor productivity.Empirical research shows that foreign trade is conducive to promoting technological progress,thus having a significant positive effect on China's green total factor productivity,while the impact of foreign direct investment on China's green total factor productivity is not statistically significant.The level of industrial structure and population density have a suppressive effect on the improvement of China's green total factor productivity.
foreign tradeforeign direct investmentfour-stage DEAgreen total factor productivity
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