数据知识产权赋能数据要素价值化的过程机制——数据流通视角下的多案例研究

摘要/Abstract

摘要： 数据知识产权日益成为推动数据要素价值化的关键动力，然而其过程机制尚未被充分揭示。本文基于数据流通视角，采用嵌入式多案例研究方法，对数据要素在数据知识产权驱动下的价值实现过程进行分析。研究发现：“筑基型—保障型—培育型”的多功能数据知识产权制度，能够推动数据流通沿“聚合流通—传递流通—扩散流通”的阶段路径演进，从而赋能数据要素实现“资源化—资产化—资本化”的价值化跃迁；这一过程的实现，需依托“市县联动—部门协同—联协同进”的数据知识产权制度推进范式和“数据加工—数据运营—数据创新”的数据要素行为逻辑之间的协同演进。本文揭示了数据知识产权赋能数据要素价值化的过程机制，拓展并丰富了数据要素价值化理论，为政府完善数据知识产权制度建设提供有益参考。

关键词: 数据要素, 价值化, 数据知识产权, 数据流通, 数据要素行为活动

Abstract: Data intellectual property has become an important driver of data element valorization, yet its process mechanism remains underexplored. From the perspective of data circulation, this study adopts an embedded multi-case study approach to examine how data intellectual property enables data element valorization. The findings show that a multifunctional data intellectual property system, characterized by foundational, protective, and cultivating functions, promotes the staged evolution of data circulation from aggregative to transmissive and diffusive circulation, thereby enabling data elements to progress from resourceization to assetization and capitalization. This process depends on the co-evolution of the institutional advancement model of city-county collaboration, departmental coordination, and joint advancement, and the behavioral logic of data processing, data operation, and data innovation. This study reveals the process mechanism of data intellectual property in enabling data element valorization, enriches the theory of data element valorization, and offers practical implications for improving data intellectual property systems.

Key words: data elements, valorization, data intellectual property, data circulation, behavioral activities of data elements

栾仪婷, 李天柱. 数据知识产权赋能数据要素价值化的过程机制——数据流通视角下的多案例研究[J]. 管理评论, 2026, 38(10): 279-288.

Luan Yiting, Li Tianzhu. The Process Mechanism of Data Intellectual Property Enabling Data Element Valorization: A Multi-case Study from the Perspective of Data Circulation[J]. Management Review, 2026, 38(10): 279-288.

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