企业间数据共享的垄断风险与规制进路
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D922.29

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北京市法学会研究课题“平台经济领域反垄断疑难问题研究”(BLS(2024)B010)


Monopoly Risks and Regulatory Approaches in Inter-Enterprise Data Sharing
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    摘要:

    数据是数字经济时代企业的关键生产要素和核心战略资源。企业间通过数据共享能够降低数据收集成本,通过大数据分析精准优化产品和服务,增强竞争优势,实现数据价值的最大化利用,最终增进社会福祉,但在实践中,企业间数据共享引发了以算法共谋实施垄断协议、数据优势滥用和数据驱动型经营者集中等排除、限制市场竞争的风险。企业间数据共享应当秉承数据可携带原则、数据最小化原则和FRAND原则;就共享客体而言,应借鉴必需设施理论,探索构建企业必需数据强制共享机制;就共享行为而言,应巧妙融合民法调整与反垄断法工具,实现对企业间数据共享的有效规制。

    Abstract:

    Data serves as a crucial production factor and core strategic resource for enterprises in the digital economy era. Through data sharing, enterprises can reduce data collection costs, precisely optimize products and services through big data analysis, enhance competitive advantages, maximize the utilization of data value, and ultimately promote social welfare. In practice, however, data sharing among enterprises has led to risks of market exclusion and competition restriction, such as algorithmic collusion to reach monopoly agreements, abuse of data advantages, and data-driven concentration of undertakings. Inter-enterprise data sharing should adhere to the principles of data portability, data minimization, and FRAND; in terms of the shared objects, it is necessary to draw on the essential facilities doctrine to explore the construction of a mandatory sharing mechanism for essential enterprise data. As for sharing behaviors, a strategic integration of civil law adjustments and antitrust tools should be cleverly employed to achieve effective regulation of inter-enterprise data sharing.

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裴轶,韦武.企业间数据共享的垄断风险与规制进路[J].《湖南工业大学学报(社会科学版)》,2025,30(4):77-85.

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  • 在线发布日期: 2025-07-25
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