欧阳日辉, 李晓壮. 社会资本参与公共数据开发利用的理论逻辑与福利效应J. 证券市场导报, 2025, (6): 14-24.
引用本文: 欧阳日辉, 李晓壮. 社会资本参与公共数据开发利用的理论逻辑与福利效应J. 证券市场导报, 2025, (6): 14-24.
Ouyang Rihui, Li Xiaozhuang. Theoretical Logic and Welfare Effects of Social Capital Participation in Public Data Development and UtilizationJ. Securities Market Herald, 2025, (6): 14-24.
Citation: Ouyang Rihui, Li Xiaozhuang. Theoretical Logic and Welfare Effects of Social Capital Participation in Public Data Development and UtilizationJ. Securities Market Herald, 2025, (6): 14-24.

社会资本参与公共数据开发利用的理论逻辑与福利效应

Theoretical Logic and Welfare Effects of Social Capital Participation in Public Data Development and Utilization

  • 摘要: 引导社会资本参与公共数据开发利用、促进公共数据价值释放,是我国构建以数据为关键要素的数字经济的重要基础与保障。本文提出社会资本参与公共数据开发利用的理论逻辑,并构建包含政府、社会资本方和数据使用者在内的动态博弈模型,结合典型案例加以验证。研究发现,社会资本引入能够有效缓解公共数据开发利用中的资金压力,提升公共数据资源供给质量,激发数据市场活力与创新,推动公共数据资源的高效利用。其核心逻辑在于:(1)通过资金、技术、人才等多维度投入,发挥数据供给的激励效应,保障公共数据“供得出”;(2)推动跨界、跨领域、跨地域的深度融合,发挥数据流通的融合效应,保障公共数据“流得动”;(3)构建合作平台、合作网络与合作生态,发挥数据利用的协同效应,保障公共数据“用得好”;(4)通过网络外部性与规模效应的持续累积,形成飞轮效应,实现多方参与者受益,提升社会福利。本文为更好开发利用公共数据资源、支持数字经济快速发展提供了有益参考。

     

    Abstract: Guiding social capital to participate in the development and utilization of public data and promoting the value realization of public data are important foundations and guarantees for building a digital economy with data as a key element in China. This paper proposes the theoretical logic of social capital participation in public data development and utilization, constructs a dynamic game model involving the government, social capital, and data users, and validates the model using typical cases. The study finds that the introduction of social capital can effectively alleviate the financial pressure on public data development and utilization, enhance the quality of public data resource supply, stimulate data market vitality and innovation, and promote the efficient utilization of public data resources. The core logic is summarized as follows. (1) Through multi-dimensional investment in capital, technology, and talent, social capital enhances the incentive effect of data supply and ensures the "availability" of public data. (2) By promoting deep integration across boundaries, fields, and regions, it leverages the integration effect of data circulation to ensure the "smooth flow" of public data. (3) By building cooperation platforms, networks, and ecosystems, it enhances the synergy effect of data utilization and ensures the "effective usage" of public data. (4) Through the continuous accumulation of network externalities and scale effects, it creates a flywheel effect, enabling multi-party benefits and enhancing social welfare. This paper provides useful references for the better development and utilization of public data resources and for supporting the rapid growth of the digital economy.

     

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