Using the methods of the Intuitionistic Fuzzy Analytic Hierarchy Process and the Dynamic Grey Re-lational Analysis,this study evaluates the level of artificial intelligence (AI) development in 30 provinces (auton-omous regions,municipalities) in China from 2011 to 2021 . It analyzes the temporal and spatial structure of Chi-na's AI development through analysis on kernel density,trend surface and social network,and explores the driv-ing factors of network spatial differentiation. The results show that:the overall level of China's AI development shows an obvious annual growth trend,with the fastest growth rates in 2019,2020 and 2021;the overall devel-opment index presents a spatial pattern in which the east is higher than the west,and the south is higher than the north;the spatial pattern shows that AI development indices are higher in the eastern and southern regions com-pared to the western and northern ones;network hierarchy and efficiency increase annually,though network con-nectivity and density show a decreasing trend;the central,western,and northeastern regions are classified as main beneficiary blocks and two-way spillover blocks,whereas the eastern regions are categorized as broker blocks and net spillover blocks;key drivers,such as the intensity of R&D expenditure,economic development level,and investment in information fixed assets,are identified as major factors influencing AI development in China;when the two driving factors of R&D expenditure intensity and economic development level interact with other driving factors,the multiplier effect on China's AI development level is the most significant.
维普
万方数据