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| China' s Artificial Intelligence Development Level, Regional Difference and Dynamic Evolution of Distribution |
| Lv Rongjie,Hao Lixiao |
| (School of Economics and Management, Hebei University of Technology, Tianjin 300401,China) |
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Abstract It is a meaningful attempt to measure the development of artificial intelligence. Based on institutional environment, infrastructure, technological innovation and production & application, this paper uses entropy weight method to measure the development of artificial intelligence of China from 2003 to 2018. Then the Dagum Gini coefficient and Kernel density estimation are used to explore the regional inequalities and the distributional dynamic evolutions. The conclusions are as follows: Firstly, Beijing, Guangdong, Jiangsu, Shanghai and Zhejiang act as the leaders, Shandong, Liaoning, Tianjin, Sichuan, Chongqing, Hubei, Hunan, Shanxi and Fujian act as the pursuers, and others are laggards. Secondly, the differences in east-west, east-middle and east-northeast is the main sources, and the differences in east and west are secondary sources; Thirdly, the development of artificial intelligence in China can be divided into four stages: 2003—2006, 2007—2010, 2011—2014 and 2015—2018. During these years, the east region shows expansion effect, the northeast region shows a strong trend of polarization, polarization effect and polarization effect are commensurable in the middle region, and the western region shows the trends of multi-polarization. The research innovations of this paper are developing the evaluation index system of artificial intelligence development, and analyzing the development characteristics of artificial intelligence in an omnidirectional and multilevel way.
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Received: 13 May 2021
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