Impact of Artificial Intelligence on Green Total Factor Productivity in Industrial Sectors
Under the current trend of intelligent transformation and high-quality development,the impact of artificial intelligence on industrial green total factor productivity is analysed using provincial panel data,with artificial intelligence as the independent variable and industrial green TFP as the dependent variable.In addition,relevant variables such as the level of fiscal expenditure,the level of urban financial development,the level of openness to the outside world and the level of economic development of each city were selected as control variables,and the stepwise regression method was used to test AI and industrial GTFP.The results show that the development of artificial intelligence has a significant positive impact on increasing industrial GTFP.This impact is mainly achieved by promoting the level of financial development,accelerating technological progress and optimising the energy structure,thus indirectly increasing industrial GTFP.
artificial intelligenceindustrial green total factor productivitytechnological progress
NETL
NSTL
万方数据
