SCIENTIA GEOGRAPHICA SINICA ›› 2022, Vol. 42 ›› Issue (7): 1207-1217.doi: 10.13249/j.cnki.sgs.2022.07.008

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Spatio-temproral Evolution Characteristics of AI Development in Chinese Cities and Its Influencing Factors

Zou Weiyong1(), Xiong Yunjun2   

  1. 1. School of Economics, Shanghai University, Shanghai 200444, China
    2. School of Public Economics and Management, Shanghai University of Finance and Economics, Shanghai 200433, China
  • Received:2021-08-06 Revised:2021-12-25 Accepted:2022-06-10 Online:2022-07-30 Published:2022-07-20
  • Supported by:
    National Social Science Foundation of China(19BJY079);Project of Shanghai Philosophy and Social Sciences(2019BJB020)


Based on the panel data of 285 cities in China from 2000 to 2019, this paper searches the number of patent applications related to artificial intelligence with keywords. Using standard deviation ellipse, exploratory spatial data analysis and spatial Dubin decomposition model, this paper analyzes the temporal and spatial evolution characteristics and influencing factors of urban artificial intelligence in China. The results show that: 1) The development of artificial intelligence can be divided into initial stage, growth stage and high-speed development stage. There is an obvious hierarchical effect in space. The advantages of eastern coastal cities are obvious, and the rise of central and western cities are accelerated. 2) Artificial intelligence has a strong spatial positive correlation, and cities in some areas form an agglomeration development trend. The spatial distribution produces polarization along the “northeast-southwest” and diffusion along the “northwest-southeast” direction. The distribution center is located in Anhui Province, with a trend of continuous migration to the southeast. 3) The improvement of marketization level, population density, human capital, foreign investment level and financial development level are conducive to the development of artificial intelligence, and there is a positive spatial spillover effect. The relationship between government intervention and the development of artificial intelligence shows an inverted U-shaped curve, with spatial spillover effect. Industrial upgrading and infrastructure construction are conducive to the development of artificial intelligence, but the spatial spillover effect are not obvious. The research conclusion can provide empirical enlightenment for China’s cities to accelerate the implementation of artificial intelligence strategy.

Key words: Chinese cities, artificial intelligence, standard deviation ellipse, spatial Dubin model

CLC Number: 

  • F061.5