“智”巢引“凤”栖：智慧城市建设对链主企业集聚的影响研究

李超¹，何烷铃¹，王源昌²

（1. 南华大学 经济管理与法学学院，湖南 衡阳 421001;

2. 云南师范大学 数学学院，云南 昆明 650500）

摘要：随着新一代信息技术的迅猛发展和数字化转型的深入推进，智慧城市建设已成为数字技术应用的重要载体，为链主企业的培育与集聚提供了新的契机。基于智慧城市试点的准自然实验，利用2007—2023年中国288个地级及以上城市面板数据，采用双重机器学习方法检验智慧城市建设对链主企业集聚的影响及其作用机制。研究结果显示，智慧城市建设能够提升所在城市链主企业集聚程度。机制分析结果表明，智慧城市建设通过促进城市金融集聚、提高创业活跃度以及推动产学研合作构建创新生态系统，促进链主企业集聚。异质性分析结果表明，智慧城市建设在西部地区城市、中心城市、交通枢纽城市、金融科技发展水平高的城市更能吸引链主企业集聚。进一步的分析结果显示，智慧城市建设与国家新一代人工智能创新发展试验区能够发挥联动作用，共同促进链主企业集聚。研究结论为地方政府利用智慧城市建设优势更好地培育链主企业提供了可靠的理论参考，也为现阶段扎实推进产业链现代化提供了有益的思路。

关键词：智慧城市；链主企业；企业集聚；创新生态系统；双重机器学习

作者简介：李超（1990—），男，南华大学经济管理与法学学院讲师，通信作者；何烷铃（2000—），女，南华大学经济管理与法学学院硕士研究生；王源昌（1968—），男，云南师范大学数学学院教授。

基金项目：国家社会科学基金一般项目“新国际环境下中国关键技术韧性统计测度及时空演变研究”（23BTJ051）

引用格式：李超,何烷铃,王源昌.“智”巢引“凤”栖:智慧城市建设对链主企业集聚的影响研究[J].首都经济贸易大学学报,2025,27(5):67-82.

Building a Smart Nest to Attract Phoenixes: Impact of Smart City Construction on the Agglomeration of Chain Leader Enterprises

LI Chao¹, HE Wanling¹, WANG Yuanchang²

（1. University of South China, Hengyang 421001;

2. Yunnan Normal University, Kunming 650500）

Abstract: With the rapid development of the new generation of information technology and the deepening of digital transformation, smart city construction has become an important platform for the application of digital technology, offering new opportunities for the cultivation and aggregation of chain leader enterprises. Different from existing research focusing on the definition of chain leader enterprises, their cultivation pathways, and their spillover effects, this paper explores the impact of smart city construction on the aggregation of chain leader enterprises, providing reliable theoretical references for local governments to better cultivate chain leader enterprises by leveraging the advantages of smart city construction and offering valuable insights for advancing industrial chain modernization.

This paper uses China's smart city pilot programs as a quasi-experiment, employing panel data from Chinese prefecture-level cities from 2007 to 2023, and applies a dual machine learning method to test the impact and mechanisms of smart city construction on the aggregation of chain leader enterprises. The findings show that smart city construction can promote the aggregation of chain leader enterprises. Mechanism analysis indicates that this promotion is realized by fostering financial clustering, increasing entrepreneurial activity, and driving industry-academia-research collaboration. Heterogeneity analysis reveals that smart city construction is more effective in attracting chain leader enterprises in cities in the western region, central cities, transportation hub cities, and those with high Fintech development. Furthermore, smart city construction and national new-generation artificial intelligence innovation and development pilot zones can exert a synergistic effect.

This paper proposes the following policy implications. First, the government should continue to advance smart city construction and integrate it with industrial chain modernization. Second, it is necessary to promote the development of new quality productive forces, increase support for R&D of cutting-edge technologies, and enhance urban digital transformation capabilities. Third, it should formulate chain leader enterprise cultivation strategies tailored to local conditions, adopt differentiated measures based on the development foundations of different regions, and promote the balanced distribution of chain leader enterprises.

The marginal contributions are as follows. First, this paper integrates smart city construction and the aggregation of chain leader enterprises into a unified research framework, expanding research on China's industrial chain modernization. Second, it calculates the degree of chain leader enterprise aggregation at the city level. Third, it delves into the specific mechanisms, providing theoretical foundations to support financial clustering, enhance innovation vitality, and promote the construction of an innovation ecosystem through strengthened smart city transformation.

Keywords: smart city; chain leader enterprise; enterprise agglomeration; innovation ecosystem; dual machine learning

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