中国经济问题 ›› 2025›› Issue (03): 1-.

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数据要素的基本属性、价值形成与市场构建


  

  • 出版日期:2025-05-20 发布日期:2025-07-16

  • Online:2025-05-20 Published:2025-07-16

摘要:

数据作为一种基础性和战略性资源具备独特的自然属性和经济属性数据之所以能够成为推动数字经济发展的关键要素不仅源于其使用能够带来生产率的提升更在于数据在发展新质生产力、重塑经济结构与推动治理能力现代化中的内生驱动作用然而数据使用价值的充分释放必须建立在对其价值量科学衡量与交易机制有效确立的基础之上这对数据要素市场建设提出了迫切要求本文围绕数据要素的基本属性、价值形成与市场构建进行了系统的经济学分析首先从数据的自然属性出发厘清数据要素经济特征的形成逻辑其次基于马克思劳动价值论系统考察数据要素的价值形成与转移过程然后围绕数据确权、数据流通、数据交易和数据治理等层面分析数据要素市场构建的困难挑战并提出推动中国特色数据要素制度体系建设的政策建议最后结合中国经济学自主知识体系的核心要义展望构建数据经济学的重要意义

关键词:

数据, 数据要素, 数据价值, 数据要素市场, 数据经济学

Abstract:

As a foundational and strategic resource, data possesses unique natural and economic attributes. Its role as a key driver of digital economic development lies not only in its ability to continuously enhance productivity, but also in its intrinsic role in fostering the development of new quality productive forces, the reshaping economic structures, and the modernization of governance capabilities. However, the full realization of data's utility value must be built on the scientific measurement of its value and the effective establishment of trading mechanisms--both of which pose urgent demands for the construction of a robust data factor market. This paper provides a systematic economic analysis of the basic attributes, value formation, and market construction of data as a factor of production. First, it elucidates the formation logic of data's economic characteristics from the perspective of its natural attributes. Second, drawing on Marx's labor theory of value, it systematically examines the processes of value creation and value transfer related to data. Third,it analyzes the key challenges in building a data factor market in terms of data ownership clarification, data circulation, data transactions, and data governance, and offers policy recommendations for advancing a data factor system with Chinese characteristics. Finally, it explores the broader significance of establishing a discipline of data economics within the framework of developing an independent Chinese economic knowledge system.

Key words:

 , data, data factors, data value, data factor market, data economics