在中国人工智能发展的时空分布和动态演变的空间分布和动态
Yanming Sun1,2, Zhaocong Wu1,2, Jingni Lan1
1School of Management, Guangzhou University, Guangzhou, 510000, China.
Heliyon
|January 16, 2024
概括
中国的人工智能发展 (AIDEV) 呈现上升趋势,空间分布不均,但区域差异正在缩小. 预计未来的AIDEV增长,高发达地区将对周边地区产生积极影响.
科学领域:
- 人工智能的人工智能
- 区域经济学 区域经济学
- 创新生态系统创新生态系统
背景情况:
- 量化测量人工智能发展 (AIDEV) 对国家人工智能工业生态和区域人工智能技术进步至关重要.
- 创新生态系统 (IE) 理论为理解和分析AIDEV动态提供了一个框架.
研究的目的:
- 为测量和分析2011年至2020年中国AIDEV的时空分布和动态演变构建一个评估系统.
- 确定中国境内AIDEV的趋势,空间不平衡以及影响因素.
主要方法:
- 基于创新生态系统 (IE) 理论的评估系统的开发.
- 在中国 (2011-2020年) 的AIDEV数据的时空空间分析.
- 统计分析包括空间自相关性和趋势预测.
主要成果:
- 中国的AIDEV显示出总体上升趋势,空间不平衡显著 (东部>中部>西部).
- 随着较低级别的省份赶上,AIDEV的区域差异正在缩小.
- 观察到AIDEV的度和偏振减弱,并观察到正空间自相关性.
结论:
- 预计中国的AIDEV将继续增加,高发展的省份将对邻近地区产生积极影响.
- 该研究为人工智能研究做出了贡献,并扩展了IE理论的应用.
- 提供了政策建议,以促进平衡和可持续的AI发展.
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