数据获取、消费者利益和社会福利:一个经济学视角

B. Martens
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引用次数: 5

摘要

本章探讨数据市场的经济学,并将其与在线平台的市场力量联系起来。它描述了数据的基本经济特征,并探讨了数据驱动的市场失灵,包括垄断市场、外部性、信息不对称和缺失市场。它区分了数据重用和数据聚合中的范围经济。重用有利于更广泛地访问数据,而聚合有利于将数据集中在大型池中。平台中数据驱动的网络效应可能会增加新的市场失灵。数据的社会外部性价值意味着,排他性私有权利和数据公地都不是最优的治理机制。数字平台提供了一种中介治理机制,通过数据聚合中的规模经济和范围经济,捕捉并货币化部分积极的数据外部性。单个用户无法单独实现这些好处。然而,数据驱动的网络效应强化了平台的垄断市场地位,并可能降低福利。政策干预需要谨慎地在这两个极端之间取得平衡。它们可以针对来自数据聚合、平台和用户之间的信息不对称(包括自我参照)以及“新缺失”市场的负面外部性。本文总结了一些值得进一步讨论的主题,包括数据访问和创新,数据在平台生态系统中的作用以及消费者和社会福利基准之间的二分法。
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Data Access, Consumer Interests and Social Welfare: An Economic Perspective
This chapter explores the economics of data markets and links this to market power in online platforms. It describes the basic economic characteristics of data and explores data-driven market failures, including monopolistic markets, externalities, information asymmetries and missing markets. It distinguishes between economies of scope in data re-use and in data aggregation. Re-use favours wider access to data while aggregation favours data concentration in large pools. Data-driven network effects in platforms may add new market failures. The social externality value of data implies that neither exclusive private rights nor data commons are an optimal governance regime. Digital platforms offer an intermediary governance regime that captures and monetises part of the positive data externalities through economies of scale and scope in data aggregation. Individual users cannot achieve these benefits on their own. However, data-driven network effects reinforce the monopolistic market position of platforms and can reduce welfare. Policy interventions need to carefully balance between these two poles. They could target negative externalities from data aggregation, asymmetric information between platforms and users, including self-referencing, and “newly missing” markets. The paper concludes with some topics that merit further discussion, including data access and innovation, the role of data in platform ecosystems and the dichotomy between consumer and social welfare benchmarks.
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