Spatiotemporal distribution and dynamics evolution of artificial intelligence development in China
The quantified measurement and comprehensive analysis of artificial intelligence development (AIDEV) are vital for countries to form AI industrial ecology and promote the long-term development of regional AI technology. Based on the innovation ecosystems (IE) theory, this paper constructs an evaluat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023110930 |
| _version_ | 1827367138911846400 |
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| author | Yanming Sun Zhaocong Wu Jingni Lan Yunjian Li Zixin Dou |
| author_facet | Yanming Sun Zhaocong Wu Jingni Lan Yunjian Li Zixin Dou |
| author_sort | Yanming Sun |
| collection | DOAJ |
| description | The quantified measurement and comprehensive analysis of artificial intelligence development (AIDEV) are vital for countries to form AI industrial ecology and promote the long-term development of regional AI technology. Based on the innovation ecosystems (IE) theory, this paper constructs an evaluation system to measure and analyze the spatiotemporal distribution and dynamic evolution of the AIDEV in China from 2011 to 2020. The results show that the AIDEV of China presents an overall upward trend and an obvious unbalance in the spatial distribution which is “eastern > central > western”. Meanwhile, the provinces of low-level AIDEV are catching up with the high-level provinces, which leads to the regional difference of AIDEV narrowing. Moreover, the concentration and polarization phenomenon of AIDEV in China has been weakening and the AIDEV will continue to increase in the next three years. Further, there is a significantly positive spatial autocorrelation of AIDEV. Finally, high AIDEV provinces will increase the probability of surrounding provinces’ AIDEV to develop. This paper expands the research stream in the field of AI research, extends the application scenarios of IE theory, and puts forward some relevant policy recommendations. |
| first_indexed | 2024-03-08T09:01:14Z |
| format | Article |
| id | doaj.art-18aab8a00f97451ab11a7c71aade9bb4 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-03-08T09:01:14Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-18aab8a00f97451ab11a7c71aade9bb42024-02-01T06:33:59ZengElsevierHeliyon2405-84402024-01-01101e23885Spatiotemporal distribution and dynamics evolution of artificial intelligence development in ChinaYanming Sun0Zhaocong Wu1Jingni Lan2Yunjian Li3Zixin Dou4School of Management, Guangzhou University, Guangzhou, 510000, China; Research Center for High-Quality Development of Modern Industry, Guangzhou University, Guangzhou, 510000, ChinaSchool of Management, Guangzhou University, Guangzhou, 510000, China; Research Center for High-Quality Development of Modern Industry, Guangzhou University, Guangzhou, 510000, ChinaSchool of Management, Guangzhou University, Guangzhou, 510000, ChinaSchool of Management, Guangzhou University, Guangzhou, 510000, China; Corresponding author.School of Management, Guangzhou University, Guangzhou, 510000, China; Research Center for High-Quality Development of Modern Industry, Guangzhou University, Guangzhou, 510000, ChinaThe quantified measurement and comprehensive analysis of artificial intelligence development (AIDEV) are vital for countries to form AI industrial ecology and promote the long-term development of regional AI technology. Based on the innovation ecosystems (IE) theory, this paper constructs an evaluation system to measure and analyze the spatiotemporal distribution and dynamic evolution of the AIDEV in China from 2011 to 2020. The results show that the AIDEV of China presents an overall upward trend and an obvious unbalance in the spatial distribution which is “eastern > central > western”. Meanwhile, the provinces of low-level AIDEV are catching up with the high-level provinces, which leads to the regional difference of AIDEV narrowing. Moreover, the concentration and polarization phenomenon of AIDEV in China has been weakening and the AIDEV will continue to increase in the next three years. Further, there is a significantly positive spatial autocorrelation of AIDEV. Finally, high AIDEV provinces will increase the probability of surrounding provinces’ AIDEV to develop. This paper expands the research stream in the field of AI research, extends the application scenarios of IE theory, and puts forward some relevant policy recommendations.http://www.sciencedirect.com/science/article/pii/S2405844023110930Artificial intelligence development (AIDEV)Regional disparitySpatial correlationDynamic distributionEvolution trend |
| spellingShingle | Yanming Sun Zhaocong Wu Jingni Lan Yunjian Li Zixin Dou Spatiotemporal distribution and dynamics evolution of artificial intelligence development in China Heliyon Artificial intelligence development (AIDEV) Regional disparity Spatial correlation Dynamic distribution Evolution trend |
| title | Spatiotemporal distribution and dynamics evolution of artificial intelligence development in China |
| title_full | Spatiotemporal distribution and dynamics evolution of artificial intelligence development in China |
| title_fullStr | Spatiotemporal distribution and dynamics evolution of artificial intelligence development in China |
| title_full_unstemmed | Spatiotemporal distribution and dynamics evolution of artificial intelligence development in China |
| title_short | Spatiotemporal distribution and dynamics evolution of artificial intelligence development in China |
| title_sort | spatiotemporal distribution and dynamics evolution of artificial intelligence development in china |
| topic | Artificial intelligence development (AIDEV) Regional disparity Spatial correlation Dynamic distribution Evolution trend |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023110930 |
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