城市算力基础设施建设、数字知识流动与数实产业技术融合
Construction of Urban Computing Infrastructure, Digital Knowledge Flow, and Technological Convergence of Digital and Real Economy Industries
DOI: 10.16538/j.cnki.jsufe.2026.04.005
[1]史本叶,齐瑞卿.城市算力基础设施建设、数字知识流动与数实产业技术融合[J/OL].上海财经大学学报,2026,28(04):60-73[2026-11-11].https://doi.org/10.16538/j.cnki.jsufe.2026.04.005.
摘要
算力基础设施是新型信息基础设施的重要组成部分,能够重构数字知识的流动路径,为数实产业技术融合提供重要支撑。文章基于2010—2023年工信部电信业务经营许可证数据与中国专利申请数据,围绕数字知识这一关键中介载体,实证检验城市算力基础设施建设对数实产业技术融合的影响效应及内在机制。研究发现,城市算力基础设施建设能够显著促进数实产业技术融合。机制分析表明,算力基础设施建设能够促进数字知识要素的高效流通与共享,使得数字知识快速渗透产业链各环节,推动数实产业技术融合。异质性分析表明,东部城市、三线及以上城市、非资源型城市以及隶属于国家级城市群的城市进行算力基础设施建设对数实产业技术融合的促进作用更强。研究结论为不同城市与区域之间优化算力基础设施布局、提升数字知识共享效率以及推动数实产业深度融合提供理论支持与决策参考。
Computing infrastructure is a vital component of new information infrastructure. It can reshape the flow paths of digital knowledge and provide important support for the technological convergence of digital and real economy industries. Based on data of telecom business operating licenses from the Ministry of Industry and Information Technology and Chinese patent application data from 2010 to 2023, this paper empirically examines the impact and internal mechanisms of urban computing infrastructure construction on the technological convergence of digital and real economy industries, using digital knowledge as the key intermediary carrier. The results show that urban computing infrastructure construction can significantly promote the technological convergence of digital and real economy industries. Mechanism testing indicates that computing infrastructure construction facilitates the efficient circulation and sharing of digital knowledge factors, enables the rapid penetration of digital knowledge into all links of the industrial chain, and thus drives the technological convergence of digital and real economy industries. Heterogeneity analysis reveals that this promoting effect is stronger in eastern cities, cities above the third-tier, non-resource-based cities, and cities belonging to national-level urban agglomerations. Based on the above conclusions, this paper draws the following policy implications: First, accelerate the construction of urban computing infrastructure and strengthen the supporting role of computing power supply in the technological convergence of digital and real economy industries. Through policy instruments such as fiscal subsidies and tax reductions, cities should be guided to increase investment in core fields of computing infrastructure in accordance with their own industrial foundations. Second, take the construction of urban computing power networks as the starting point to improve the mechanisms for digital knowledge flow and sharing. On the one hand, efforts should be made to promote the coordinated application of computing power, algorithms, and data within cities, and to build city-level computing power sharing platforms. On the other hand, the linkage of urban computing power networks within large urban agglomerations should be enhanced to establish cross-city alliances for computing power and digital knowledge sharing. Third, promote the construction of urban computing infrastructure in a hierarchical and classified manner based on heterogeneous urban characteristics. Central cities should focus on building real-time computing power hubs to meet low-latency and high-computing-power demands, while peripheral cities should develop green computing power bases and ultra-large-scale data center clusters, mainly undertaking non-real-time computing power needs.
关键词: 算力基础设施,数据中心,数实产业技术融合,数字知识