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Digital Platforms and Antitrust

Authors: Parker, Geoffrey G.; Petropoulos, Georgios; Van Alstyne, Marshall W.;

Digital Platforms and Antitrust

Abstract

Abstract At the heart of economic activity, digital platforms connect multi-sided markets of producers and consumers of various goods and services. Their market power and privileged ecosystem position raise concerns that they may engage in anti-competitive practices that reduce innovation and consumer welfare. This chapter deals with the role of market competition and regulation in addressing these concerns. Traditional (ex post) antitrust intervention will be less effective in markets driven by network effects unless it is combined with a proper (ex ante) regulatory framework. Antitrust tools should focus on value creation and its distribution before focusing on competition. The scope of regulatory intervention should satisfy three criteria: (1) value creation from operation of the platforms does not decrease due to the policy intervention; (2) allocative efficiency is based on distributing the value created in a fair way among market participants; (3) dynamic efficiency and competition ensure that incentives for market misconduct and anti-competitive strategies such as artificial entry barriers are eliminated. Market interventions that target a firm’s market power should ideally retain value creation while also encouraging small firm entry and innovation. Data has a central role in online markets. Value creation is reinforced through a recursive data capture and data deployment feedback loop enabled by machine learning technologies. A regulatory intervention that facilitates data sharing mechanisms, such that data will not only confer value to market leaders but also to their competitors to the benefit of consumers, is crucial for creating more competitive and innovative digital markets.

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Keywords

Antitrust, ddc:330, L41, K21, L86, data sharing, L43, regulation, digital platforms, L40, L51

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
45
Top 1%
Top 10%
Top 10%
bronze
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