Abstract
Based on the data of artificial intelligence enterprises in the Yangtze River Delta selected from the TIANYANCHA website, this paper studied the pattern and impact factors of the artificial intelligence industries' distribution from 2015 to 2020 in the Yangtze River Delta by adopting the methods of kernel density estimation, spatial autocorrelation, and geographic detectors. The results are as follows: (1)The artificial intelligence industry in the Yangtze River Delta located in a polycentric and was assembling. Driving by the five agglomeration centers that was Shanghai, Hangzhou, Suzhou, Nanjing, and Hefei, the whole industry was concentrating along the Shanghai-Nanjing-Hefei-Hangzhou-Ningbo development zone. From the basic layer, the technical layer to the application layer with the decline of the technical threshold, the number of agglomeration centers increased and the scale of agglomeration expanded. (2)At the city level, Shanghai and Suzhou show the characteristics of polycentric agglomeration, while Hangzhou, Nanjing and Hefei are monocentric agglomeration; Then the application layer was more concentrated than the basic layer and technical layer and concentrated in the Central of the city, while basic layer and technical layer tend to located in the industrial parks. (3)The foundation of technology related industries(the number of computer and software), the number of scientific and technological personnel, and the innovation ability are the core factors influencing the spatial pattern of the artificial intelligence industry in the Yangtze River Delta, but there are some differences in the influencing factors of the basic layer, technology layer and application layer.
| Translated title of the contribution | Pattern and Impact Factors of Artificial Intelligence Industries' Distribution in Yangtze River Delta |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 526-536 |
| Number of pages | 11 |
| Journal | Resources and Environment in the Yangtze Basin |
| Volume | 31 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2022 |