Studies in Science of Science ›› 2026, Vol. 44 ›› Issue (3): 571-585.

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Research on the Path of Research on the Path of digital collaborative innovation under the Accumulation of Digital Labor Factors under the Accumulation of Digital Labor Factors Based on the Analysis of Knowledge Spillover and the Flow of Innovation Elements

  

  • Received:2024-11-04 Revised:2025-05-09 Online:2026-03-15 Published:2026-03-15

数字劳动要素累积下数字协同创新的路径研究———基于知识溢出与创新要素流动的分析

王欣亮,李想,刘飞   

  1. 西北大学
  • 通讯作者: 刘飞
  • 基金资助:
    国家社科后期资助项目“数字化驱动区域协调发展的机制与路径研究”;国家自然科学基金面上项目,区域经济协调发展的动力机制:基于数字赋能生产要素双向流动的视角

Abstract: Accelerating the drive of digital collaborative innovation is the key to solve the problem of externality and complexity of disruptive technology innovation. In view of this, this paper explores the development path of digital collaborative innovation from the perspective of digital labor elements. On the basis of constructing the theoretical analysis framework of digital collaborative innovation, this paper describes the accumulation of regional digital labor factors from the three dimensions of digital knowledge, digital skills and digital consciousness of labor force. The empirical test shows that: 1. The accumulation of digital labor factors makes ' subject collaboration ' and ' interregional collaboration ' an important way of digital collaborative innovation, and knowledge spillover and innovation factor flow are the main channels of ' interregional collaboration '. 2. Digital collaborative innovation is subject to knowledge spillover and innovation factor flow : Beijing, Wuhan, Guangzhou, Shanghai, Tianjin and other regions with strong knowledge enrichment and property rights protection, as well as Wuxi, Wenzhou and other regions with weak intervention in innovation factor flow are more suitable for the cultivation mode of " subject collaboration. 3. The accumulation of digital labor factors has changed the knowledge absorption capacity of knowledge-poor areas, and can reserve power for digital collaborative innovation through imitation innovation. At this time, the role of intellectual property protection is highlighted and becomes the key to the development of independent innovative digital. In addition, excessive intervention in talent and capital flows will damage the connotative innovation path and hinder the development of digital collaborative innovation. The above conclusions provide a theoretical basis and practical direction for formulating digital collaborative innovation policies according to local conditions, echoing the relevant instructions of the 20 major.

摘要: 加速驱动数字协同创新,是解决颠覆式技术创新外部性、复杂性问题的关键,鉴于此,从数字劳动要素入手,探索数字协同创新的发展路径。在构建数字协同创新理论分析框架基础上,从劳动力的数字知识、数字技能、数字意识三个维度刻画区域数字劳动要素累积状况,实证检验得出:①数字劳动要素积累使“主体协同”与“区际协同”成为数字协同创新的重要方式,且知识溢出与创新要素流动是“区际协同”的主要渠道;②数字协同创新受制于知识溢出和创新要素流动:知识富集、产权保护程度强的北京、武汉、广州、上海、天津等地区,以及创新要素流动干预程度弱的无锡、温州等地区更适宜“主体协同”培育模式;③数字劳动要素累积改变了知识贫瘠区的知识吸收能力,可通过模仿创新为数字协同创新储备力量,而此时,知识产权保护的作用凸显,成为自主创新型数字发展的关键;此外,过度干预人才与资本流动都将会损害内涵式创新路径,阻碍数字协同创新发展。以上结论为因地制宜制定数字协同创新政策提供了理论依据和实践方向,呼应了二十大的相关指示。