当代财经 ›› 2026, Vol. 0 ›› Issue (7): 72-84.

• 智能经济 • 上一篇    下一篇

智能制造如何助力中国企业实现自主创新突破

习明明, 张卢千漪, 夏若萱   

  1. 江西财经大学 数字经济学院,江西 南昌 330013
  • 收稿日期:2025-12-24 修回日期:2026-04-27 出版日期:2026-07-15 发布日期:2026-09-14
  • 通讯作者: 张卢千漪,江西财经大学博士研究生,主要从事数字经济与产业经济研究,联系方式zlqy0423@163.com。
  • 作者简介:习明明,江西财经大学教授,博士生导师,经济学博士,主要从事数字经济与产业经济研究;夏若萱,江西财经大学博士研究生,主要从事数字经济与产业经济研究。
  • 基金资助:
    国家自然科学基金地区项目“基于两区制空间Durbin固定效应模型的地区资本结构对经济增长影响研究”(72264011); 国家社会科学基金重大项目“‘十五五’时期我国制造业重点投资方向和领域研究”(25&ZD172); 教育部人文社会科学研究青年基金项目“生成式人工智能企业的时空分异特征、创新机制演进与空间布局优化研究”(25YJC790118)

How Intelligent Manufacturing Empowers Chinese Enterprises to Achieve Breakthroughs in Independent Innovation

Xi Ming-ming, Zhang Lu-qian-yi, Xia Ruo-xuan   

  1. Jiangxi University of Finance and Economics, Nanchang 330013, China
  • Received:2025-12-24 Revised:2026-04-27 Online:2026-07-15 Published:2026-09-14

摘要: 掌握关键核心技术是实现高水平科技自立自强的内在要求。以2015年开始实施的智能制造试点示范行动为准自然实验,采用A股制造业上市公司的面板数据和多时点双重差分模型的实证研究表明,智能制造显著提升了企业的自主创新水平。机制检验表明,智能制造不仅可以推动企业开展研发合作,还可以增强企业的知识吸收能力,因而智能制造可以提升企业的自主创新水平。异质性分析发现,在美国“301调查”涉及的企业和不确定性感知水平高的企业中,智能制造更能提升企业的自主创新水平。拓展性分析表明,在智能制造提升企业的自主创新水平后,企业增强了供应链整体韧性。上述结论意味着,为充分发挥智能制造试点示范行动对企业自主创新水平的提升作用,政府要结合行业竞争态势与企业风险特征实施差异化的智能制造推进策略,着力搭建产学研深度合作平台,明确企业知识吸收能力的培育路径。

关键词: 智能制造, 自主创新, 关键核心技术, 供应链韧性

Abstract: Mastering key core technology is an inherent requirement for achieving high-level scientific and technological self-reliance and self-strengthening. Using the Intelligent Manufacturing Pilot Demonstration Action launched in 2015 as a quasi-natural experiment, this paper conducts an empirical study based on panel data from A-share listed manufacturing firms and a staggered difference-in-differences model. The results show that Intelligent Manufacturing significantly improves firms' Independent Innovation. The mechanism tests indicate that Intelligent Manufacturing not only promotes Firms' engagement in R&D collaboration, but also strengthens firms' knowledge absorptive capacity; accordingly, Intelligent Manufacturing improves firms' Independent Innovation. The heterogeneity analysis finds that the effect of Intelligent Manufacturing on Independent Innovation is stronger among firms involved in the U.S. Section 301 investigation and firms with higher perceived uncertainty. The extended analysis shows that, after Intelligent Manufacturing improves firms' Independent Innovation, firms strengthen the overall resilience of their supply chains. These findings imply that, to fully leverage the role of the Intelligent Manufacturing Pilot Demonstration Action in improving firms' Independent Innovation, the government should implement differentiated strategies for advancing Intelligent Manufacturing by considering industry competition dynamics and firm risk characteristics, focus on building deep industry-university-research cooperation platforms, and clarify the cultivation pathways for firms' knowledge absorption capacity.

Key words: intelligent manufacturing, independent innovation, key core technology, supply chain resilience

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