长江经济带人工智能产业集群生态化机制与路径研究

Research on the Ecological Mechanism and Pathways of Artificial Intelligence Industry Clusters in the Yangtze River Economic Belt

摘要: 人工智能已成为推动全球产业变革和国家战略竞争力提升的关键，特别是在中国，它被视作经济新动能和科技革命的核心。随着全球主要发达国家纷纷布局人工智能领域，中国也高度重视新一代人工智能产业的发展，享有技术和应用的规模优势。尽管面临需快速解决的挑战，中国正探索省际合作和区域内部发展模式，致力于建立良好的产业集群生态。研究基于相关理论，如流空间和产业集群，探索人工智能产业的空间结构和集群生态，通过信息流和技术流等要素的整合，利用SNA工具分析产业集群外部和内部的环境特征及价值网络。此外，研究还通过空间计量分析关注教育、专利、金融和基础设施对产业集群效益的影响。特别是长江经济带的案例分析，显示了其在人工智能产业集群生态化发展中的示范作用，为探索人工智能产业新集群模式和生态化发展机制提供了参考。

Abstract: Artificial Intelligence has become a key driver in transforming global industries and enhancing national strategic competitiveness, especially in China, where it is seen as the core of economic new momentum and technological revolution. As major developed countries around the world lay out their plans in the field of artificial intelligence, China also places high importance on the development of the new generation of AI industry, enjoying technological and application scale advantages. Despite facing challenges that need to be quickly addressed, China is exploring inter-provincial cooperation and regional development models, aiming to establish a healthy industry cluster ecosystem. This research, based on related theories such as flow space and industry clusters, explores the spatial structure and cluster ecology of the AI industry by integrating elements like information flow and technology flow, and utilizes SNA tools to analyze the external and internal environmental characteristics and value networks of industry clusters. Moreover, the study also pays attention to the impact of education, patents, finance, and infrastructure on the benefits of industry clusters through spatial econometric analysis. Particularly, the case study of the Yangtze River Economic Belt demonstrates its exemplary role in the ecological development of AI industry clusters, providing references for exploring new cluster models and ecological development mechanisms in the AI industry.