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中国管理科学 ›› 2026, Vol. 34 ›› Issue (3): 134-145.doi: 10.16381/j.cnki.issn1003-207x.2025.0053cstr: 32146.14.j.cnki.issn1003-207x.2025.0053

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面向数据产品的交易机制设计研究

付业林, 喻芷珊, 梁卓敏, 黄浩, 张慧君, 殷丽, 任晓欣, 弋泽龙()   

  1. 深圳大学经济学院,广东 深圳 518060
  • 收稿日期:2025-01-10 修回日期:2025-11-19 出版日期:2026-03-25 发布日期:2026-03-06
  • 通讯作者: 弋泽龙 E-mail:yizl@szu.edu.cn
  • 基金资助:
    国家自然科学基金项目(72222019);国家自然科学基金项目(72171154);国家自然科学基金项目(72101098);教育部人文社会科学研究青年基金项目(25YJC630021);广东省哲学社会科学规划项目(GD25CY67)

Trading Mechanism Design for Data Products

Yelin Fu, Zhishan Yu, Zhuomin Liang, Hao Huang, Huijun Zhang, Li Yin, Xiaoxin Ren, Zelong Yi()   

  1. College of Economics,Shenzhen University,Shenzhen 518060,China
  • Received:2025-01-10 Revised:2025-11-19 Online:2026-03-25 Published:2026-03-06
  • Contact: Zelong Yi E-mail:yizl@szu.edu.cn

摘要:

为响应国家发展完善数据要素市场化配置的政策方针,本文从数据交易平台的视角出发,阐述了一种创新的数据要素市场配置模式,并设计相关交易机制。首先,从数据产品及其特性、数据交易系统及其组成部分,以及数据交易中的风险等方面分析了数据产品交易系统的独特内涵。通过回顾与数据交易系统相关的现有研究,梳理其贡献与不足之处,提炼出基于数据交易平台的数据交易系统配置模式研究中亟需解决的科学问题:(1)数据产品供应链构建及价格影响因素识别研究;(2)面向不同类型数据产品设计的价格形成机制研究;(3)数据产品交易系统的收益分配机制与激励机制设计;(4)面向数据产品全链条的质量与安全监管体系设计。最后,针对上述科学问题,本文尝试提出了可能的研究思路,为未来研究提供一定参考和方向。

关键词: 数据要素, 数据交易平台, 价格形成机制, 收益分配机制, 数据质量与安全监管

Abstract:

In response to the national policy guideline of developing and improving the market allocation of data elements, an innovative market allocation model of data elements is proposed from the perspective of data trading platforms. First, the unique content of the data trading system is analyzed in terms of data products and their characteristics, data trading system and its components, as well as risks in data trading. Then, existing studies related to the data trading system are reviewed to sort out their contributions and shortcomings. On this basis, four sorts of scientific issues required to be solved urgently in future research on the allocation model of data trading system based on data trading platforms are distilled: (1) construction of the supply chain of data products and identification of price influencing factors; (2) the price formation mechanism for the design of various types of data products; (3) design of the revenue sharing mechanism and incentive mechanism for data trading system; and (4) establishment of the quality and security monitoring system of data products for the whole chain. Finally, possible research solutions for the above scientific problems are proposed, providing some reference and direction for future research.

Key words: data elements, data trading system, price formation mechanism, revenue sharing mechanism, quality and security monitoring of data products

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