公共数据授权运营垄断风险的法律控制

Legal Control of Monopoly Risk in Authorized Operation of Public Data

  • 摘要: 公共数据授权运营制度是推动公共数据有序开放利用、释放数据要素价值的重要路径。然而,其在实践推进中正面临愈发突出的垄断风险问题。公共数据授权运营垄断风险主要表现为授权阶段的行政垄断风险与运营阶段的市场支配地位滥用风险,并且可能导致损害公平竞争秩序、弱化消费者福利保障、抑制社会创新等负面效应。究其根源,公共数据授权运营垄断风险的形成是特许经营模式扩张适用导致排他性授权泛化、风险预防与利益驱动扭曲公平授权机制、监管失位致使运营主体营利目标侵蚀公益属性等多重因素交织作用的结果。防控公共数据授权运营垄断风险须针对其成因精准施策:通过适度增加运营主体数量与严格实施公共数据分类分级管理,为特许经营模式的适用划定边界;完善竞争性授权的具体规则和强化公平竞争审查的制度刚性,从而保障授权机制的公平性;以公共数据产品与服务的价格监管和质量监管为核心,协同推进技术监管、合规监管等多元化监管方式,进而构建系统的公共数据运营监管体系。

     

    Abstract: The authorized operation system of public data is an important way to promote the orderly and open utilization of public data and release the value of data. However,it is facing more and more prominent monopoly risk problems in practice. The monopoly risk of public data authorization operation is mainly manifested in the administrative monopoly risk in the authorization stage and the abuse of market dominant position in the operation stage,and may lead to negative effects such as damaging fair competition, weakening consumer welfare and inhibiting social innovation. The root that the monopoly risk of public data authorization operation is the result of multiple factors, such as the generalization of exclusive authorization caused by the expansion and application of franchise model, the distortion of fair authorization mechanism by risk prevention and interest-driven, and the erosion of public welfare attributes caused by the loss of supervision. It is necessary to make precise policies according to its causes: by moderately increasing the number of operating entities and strictly implementing the classification and classification management of public data, the boundary for the application of franchise mode should be delineated; Improve the rules of competitive authorization and strengthen the rigidity of fair competition review, so as to ensure the fairness of authorization mechanism; Taking the price and quality supervision of public data products and services as the core, we will jointly promote diversified supervision methods such as technical supervision and compliance supervision, and then build a systematic public data operation supervision system.

     

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