信息资源管理学报 ›› 2025, Vol. 15 ›› Issue (5): 4-13.doi: 10.13365/j.jirm.2025.05.004

• 特约稿 •    下一篇

数据要素与传统生产要素的融合发展:机理、路径与保障

吴江1,2 袁一鸣1 缪佳蕊1 张冬英1 林镇阳3,4 杜乐4,5   

  1. 1.武汉大学信息管理学院,武汉,430072; 
    2.武汉大学数字商务与产业研究中心,武汉,430072; 
    3.深圳清华大学研究院多模态人工智能数据工程研发中心,深圳,518071; 
    4.武汉数据智能研究院,武汉,430072; 
    5.武汉东湖大数据科技股份有限公司,武汉,430079
  • 出版日期:2025-09-26 发布日期:2025-10-31
  • 基金资助:
    本文系国家自然科学基金委员会宏观调控项目“数据交易场所的功能定位、运营机制与治理机制研究”(72442030)和国家自然科学基金重点项目“网络视角下乡村产业互联网的数智赋能研究”(72232006)的研究成果。

Integration of Data and Traditional Production Factors: Mechanisms, Paths, and Guarantees

Wu Jiang1,2 Yuan Yiming1 Miao Jiarui1 Zhang Dongying1 Lin Zhenyang3,4 Du Le4,5   

  1. 1. School of Information Management, Wuhan University, Wuhan, 430072; 
    2. Research Center for Digital Business and Industry, Wuhan University, Wuhan, 430072; 
    3. R&D Center for Multimodal AI Data Engineering, Tsinghua Shenzhen International Graduate School, Shenzhen, 518071; 
    4. Wuhan Institute of Data Intelligence, Wuhan, 430072; 
    5. East Lake Trading Center for Big Data, Wuhan, 430079
  • Online:2025-09-26 Published:2025-10-31
  • Supported by:
    This work is supported by the Special Project of the National Natural Science Foundation of China "Functional Orientation, Operational Mechanism, and Governance Mechanism of Data Trading Venues" (72442030), Key Projects of the National Natural Science Foundation of China"Research on the Digital and Intelligent Empowerment of Rural Industrial Internet from a Network Perspective"(72232006).

摘要: 随着数字经济加速发展,作为数据要素价值实现的最终场景,数据要素与传统生产要素的深度融合成为推动产业升级的关键。本研究通过文献梳理与理论分析,总结数据要素与传统生产要素融合发展的乘数效应、信息熵减效应以及数据网络效应等作用机理,从数据要素与传统生产要素融合发展的应用场景中寻求全要素融合的四种协同路径,通过探索二者融合路径,破解要素配置瓶颈,并在此基础上,从土地数据治理、劳动力技能转型、资本配置以及技术创新四个应用场景方面,提出推进数据要素与多要素融合发展的保障对策,为释放数据价值、构建现代化生产要素体系提供理论支撑。

关键词: 数据要素, 乘数效应, 数据网络效应, 全要素融合, 一体化市场体系

Abstract: With the accelerated development of the digital economy, the deep integration of data elements with traditional production factors has become a key driver of industrial upgrading, as data elements ultimately realize their value in practical application scenarios. Through literature review and theoretical analysis, this study summarizes the mechanisms by which data elements interact with traditional production factors, including the multiplier effect, the entropy reduction effect of information, and the data network effect. It further explores four synergistic pathways toward all-factor integration, identified from practical application scenarios of such integration. Based on these findings, this study proposes safeguard strategies to promote the coordinated development of data elements and multiple production factors across four application dimensions: land data governance, labor skill transformation, capital allocation, and technological innovation. This study provides theoretical support for unlocking data value and constructing a modernized system of production factors.

Key words: Data factors, Multiplier effect, Data network effect, All-factor integration, Integrated market system

中图分类号: