Research on the Mechanism and Effect of Artificial Intelligence on Total Factor Productivity in China
As a strategic technology leading a new round of scientific and technological revolution and industrial reform,artificial intelligence(AI)has a strong exemplary leading wild goose effect of spillover,which is increasingly becoming an important factor in im-proving total factor productivity(TFP).Based on the provincial panel data from 2006 to 2018 and the panel data of listed companies from 2007 to 2020,using enterprise robot data and quasi-natural experiments of intelligent manufacturing demonstration project,this pa-per empirically analyzes the effect and mechanism of AI on China's TFP from the macro and micro levels by using staggered DID and dual machine learning methods.The research re-sults show that the application of AI in both macro and micro dimensions have significantly promoted the improvement of TFP in China.At the macro level,the effect of AI on TFP in the eastern coastal regions is more obvious than that in the central and western regions;The effect on TFP under the high market competition environment is more obvious.At the micro level,AI has a more significant impact on TFP of low technology enterprises than high-tech enterprises,and more significant impact on larger enterprises than smaller enterprises.The role of AI in improving TFP is mainly achieved by improving factor allocation efficiency,reducing enterprise costs and enhancing enterprise R&D capabilities.The conclusions of this study have significant policy implications for China to further promote the deep integration of AI and the real economy,improving TFP and achieving high-quality economic develop-ment.
万方数据
维普
