当代经济科学2026，Vol.48Issue(4)：68-86,19.DOI:10.20069/j.cnki.DJKX.2026044
数字基础设施与智能制造发展
Digital Infrastructure and the Development of Intelligent Manufacturing
摘要
Abstract
Intelligent manufacturing has become a key direction for the transformation and upgrading of the global manufacturing sector.China's economy is currently at a critical stage of transformation and upgrading.From an international perspective,China remains in the second tier of intelligent manufacturing development,with a considerable gap between itself and first-tier countries,namely the United States,Japan,and Germany.It is therefore imperative to advance intelligent manufacturing to seize the commanding heights of technological innovation.From a theoretical perspective,as a strategic cornerstone in the construction of Digital China,digital infrastructure exhibits features and advantages such as network externalities and embedded digital technology attributes.It constitutes a fundamental condition for realizing the value of data as a factor of production and facilitates the diffusion and application of advanced adaptive technologies,thereby potentially exerting a profound influence on the development of intelligent manufacturing.However,existing literature lacks a dedicated examination of the impact of digital infrastructure on intelligent manufacturing,and its potential effects have received limited attention. This paper provides a theoretical analysis of the impact of digital infrastructure on intelligent manufacturing in China,its underlying mechanisms,and the role of key links in the data market in this process.Using panel data on Chinese listed companies from 2005 to 2021,the two-way fixed-effects model is employed for empirical testing.The results indicate that digital infrastructure development significantly promotes the development of intelligent manufacturing,and this finding remains robust across multiple robustness checks.The effect operates primarily through two channels:the value realization of data elements and the innovation and application of intelligent technologies.The development of key links in the data market,including data openness and data trading,affects the effectiveness of this impact.Specifically,greater data openness strengthens the positive effect of digital infrastructure on intelligent manufacturing,whereas the role of data trading is not statistically significant.Further analysis shows that data openness enhances both the value realization mechanism of data elements and the intelligent technology innovation and application mechanism,while data trading does not significantly reinforce these channels.Heterogeneity analysis reveals that the positive effect of digital infrastructure is more pronounced in cities with higher levels of data security and stronger capital endowments,as well as in industries with lower technological complexity.In contrast,no significant differences are observed across industries with varying levels of market competition. The marginal contributions of this study are threefold.First,it offers a systematic examination of the relationship between digital infrastructure and intelligent manufacturing within the framework of industrial structure theory,thereby extending the literature on infrastructure and industrial upgrading and providing empirical evidence for the development of intelligent manufacturing.Second,from the perspective of factor allocation,it identifies and empirically tests the mechanisms through which digital infrastructure promotes intelligent manufacturing-namely,the value realization of data elements and intelligent technology innovation and application-thereby deepening the understanding of the underlying transmission channels through which digital infrastructure affects intelligent manufacturing.Third,by incorporating the fact that key links in the data market,such as data openness and data trading,evolve during the development of digital infrastructure,this study examines how these links shape the effectiveness of digital infrastructure in promoting intelligent manufacturing.It further explores heterogeneity across both urban and industrial dimensions,enriching the existing literature on infrastructure and industrial upgrading and offering more targeted policy implications. Overall,the findings confirm the significant role of digital infrastructure in promoting intelligent manufacturing and provide useful insights for strengthening digital infrastructure development and advancing intelligent manufacturing in China.关键词
数字基础设施/智能制造/技术创新/产业升级/要素配置/数据市场/数据开放/数据交易Key words
digital infrastructure/intelligent manufacturing/technological innovation/industrial upgrading/factor allocation/data market/data openness/data trading引用本文复制引用
戴魁早,梁银笛,黄姿..数字基础设施与智能制造发展[J].当代经济科学,2026,48(4):68-86,19.基金项目
研究阐释党的二十届三中全会精神国家社会科学基金重大专项项目(24ZDA016) （24ZDA016）
国家自然科学基金面上项目(72173042) （72173042）
湖南省研究生科研创新项目(CX20251517). （CX20251517）
