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作 者:程娜 杨嘉一 Cheng Na;Yang Jiayi(School of Marxism,Shanghai University,Shanghai 200444,China)
出 处:《工业技术经济》2025年第4期14-24,共11页Journal of Industrial Technology and Economy
基 金:上海市社会科学规划基金项目(项目编号:2023BKS002)。
摘 要:数字经济时代的数据垄断现象呈现出资本逻辑与技术权力深度耦合的特征。从形成机理看,数据垄断本质上是资本通过技术手段实现数据要素独占性控制的过程,具体表现为资本驱动下的数据集中化积累、算法权力构筑的技术壁垒,以及平台生态形成的制度性垄断。这种垄断格局不仅扭曲市场竞争秩序,更通过数据剥削机制加剧了数字资本主义的内在矛盾。数据垄断的治理创新需要突破传统范式,构建以“数据公共性”为核心的制度体系。在产权层面构建数据权益的公平分配体系,在技术层面推进公共数据基础设施建设,在治理层面促进跨国协作与多元共治。通过系统性制度创新,推动数据要素从资本积累工具向公共福祉载体转化,为数字时代的公平发展提供新的治理路径。In the era of digital economy,data monopoly manifests the deep coupling between capital logic and technological power.From the perspective of formation mechanism,data monopoly is essentially a process through which capital achieves exclu⁃sive control over data elements by technological means,specifically demonstrated by capital-driven centralized accumulation of da⁃ta,technological barriers constructed by algorithmic power,and institutional monopoly formed by platform ecosystems.Such mo⁃nopolistic structure not only distorts market competition order,but also intensifies the inherent contradictions of digital capitalism through data exploitation mechanisms.Governance innovation needs to break through traditional paradigms and establish an institu⁃tional system centered on“data commonality”.At the property rights level,it is necessary to construct a fair distribution system for data rights and interests;at the technological level,advance the construction of public data infrastructure;at the governance level,promote transnational collaboration and multi-stakeholder governance.Through systematic institutional innovation,data elements can be transformed from tools of capital accumulation into carriers of public welfare,providing a new governance path for equitable development in the digital age.
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