摘要
基于动态能力理论,将工信部《智能制造试点示范专项行动》视为一项准自然实验,以2011~2023年制造业A股上市公司为研究样本,采用多期DID模型评估其对企业数字技术创新的因果效应及其机制。研究发现:智能制造试点政策显著提升了数字技术创新的数量与质量,且通过一系列稳健性检验后依然成立。机制分析表明,试点政策通过“感知—整合—重构”路径赋能企业动态能力,具体体现为政策激励与引导、创新要素协同与产业链供应链整合。异质性分析表明,试点政策的促进效应在非国有企业、行业竞争程度高和知识产权保护水平高的地区更加显著,而在数字经济发展水平不同地区则呈现出“数量追赶”与“质量升级”的差异化路径。
Abstract
Drawing on the dynamic capability theory, the “Special Action for Intelligent Manufacturing Pilot Demonstration” issued by the Ministry of Industry and Information technology is regarded as a quasi-natural experiment. The research sample consists of A-share listed manufacturing companies from 2011 to 2023. A multi-period difference-in-differences (DID) model is adopted to evaluate the causal effect and mechanisms of the pilot policy on enterprise digital technology innovation. The research finds that the intelligent manufacturing pilot policy significantly enhances the quantity and quality of digital technology innovation, and this conclusion remains valid after a series of robustness tests. Mechanism analysis indicates that the pilot policy strengthens the enterprises’ dynamic capabilities through a “sensing—integrating—reconfiguring” pathway, which manifests concretely as policy incentives and guidance, synergy of innovation elements, and integration of industrial and supply chains. Heterogeneity analysis shows that the positive effects of the pilot policy are more pronounced in non-state-owned enterprises, highly competitive industries, and regions with higher levels of intellectual property protection . Furthermore, the analysis also reveals a differentiated path of “quantity catch-up” versus “quality upgrading” across regions with varying levels of digital economy development.
关键词
智能制造 /
数字技术创新 /
创新要素协同 /
动态能力理论
Key words
intelligent manufacturing /
digital technology innovation /
synergy of innovation elements /
dynamic capabilities theory
王治, 袁玎, 彭星星, 胡凯.
智能制造对数字技术创新的效应与机制研究[J]. 管理学报. 2026, 23(9): 1663
WANG Zhi, YUAN Ding, PENG Xingxing, HU Kai.
Research on the Impact and Mechanism of Intelligent Manufacturing on Digital Technology Innovation[J]. Chinese Journal of Management. 2026, 23(9): 1663
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基金
国家社会科学基金资助项目(21FGLB012,24FJYB018);湖北省社会科学基金学习贯彻党的二十届四中全会精神专项课题研究成果(HBSKJJ20250131)