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Spatiotemporal distribution and dynamics evolution of artificial intelligence development in China.
Yanming Sun1,2, Zhaocong Wu1,2, Jingni Lan1
1School of Management, Guangzhou University, Guangzhou, 510000, China.
Heliyon
|January 16, 2024
Summary
Artificial intelligence development (AIDEV) in China shows an upward trend with uneven spatial distribution, but regional disparities are narrowing. Future AIDEV growth is expected, with high-development areas positively influencing surrounding regions.
Area of Science:
- Artificial Intelligence
- Regional Economics
- Innovation Ecosystems
Background:
- Quantified measurement of Artificial Intelligence Development (AIDEV) is crucial for national AI industrial ecology and regional AI technology advancement.
- Innovation Ecosystems (IE) theory provides a framework for understanding and analyzing AIDEV dynamics.
Purpose of the Study:
- To construct an evaluation system for measuring and analyzing the spatiotemporal distribution and dynamic evolution of AIDEV in China from 2011 to 2020.
- To identify trends, spatial imbalances, and influencing factors of AIDEV within China.
Main Methods:
- Development of an evaluation system based on Innovation Ecosystems (IE) theory.
- Spatiotemporal analysis of AIDEV data in China (2011-2020).
- Statistical analysis including spatial autocorrelation and trend prediction.
Main Results:
- AIDEV in China exhibits an overall upward trend with significant spatial imbalance (Eastern > Central > Western).
- Regional differences in AIDEV are narrowing as lower-level provinces catch up.
- Weakening concentration and polarization of AIDEV, with positive spatial autocorrelation observed.
Conclusions:
- China's AIDEV is projected to continue increasing, with high-development provinces positively impacting neighboring regions.
- The study contributes to AI research and extends the application of IE theory.
- Policy recommendations are provided to foster balanced and sustainable AI development.
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