Research on Innovation Efficiency Evaluation of Artificial Intelligence Industry Based on Super-efficiency DEA-Malmquist Index
This article used super-efficiency DEA to measure the innovation efficiency of AI industry in 30 provinces of China from 2010 to 2020,and used Malmquist index to analyze the change in innovation efficiency of AI industry dynami-cally,breaking down the total factor productivity of the AI industry and analyzing key indicators of progress affecting inno-vation efficiency.It is found that the innovation efficiency of AI industry in 30 provinces of China is on the rise in the whole level of development and that the innovation efficiency of AI industry is on the rise in the whole level of regional develop-ment.There are obvious differences in the innovation efficiency of the AI industry in the eastern Midwestern Sectional Figure Skating Championships.The eastern region shows a slow downward trend,but it continues to maintain its leading position.The innovation efficiency of the AI industry in the central region of China is slowly rising,while that in the Western Region is fluctuating,but the change is small and always below average.From the total factor productivity perspective,the overall total factor productivity of the AI industry in China shows a fluctuating upward trend,which is mainly influenced by the technical efficiency and the technical progress index.The improvement in technical efficiency is due to the increase in scale efficiency and pure technical efficiency.
AI industryinnovation efficiencysuper-efficiency DEAMalmquist index
万方数据
维普
