Fr. 170.00

Big Tech and the Digital Economy - The Moligopoly Scenario

English · Hardback

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Description

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This book offers a holistic and interdisciplinary account of competition dynamics in the digital economy. It argues that mainstream competition theory and policy are demonstrably inadequate when faced with the nature and intensity of the multi-dimensional rivalry between technology firms such as Google, Microsoft, Apple, Facebook, and Amazon.

List of contents










  • Introduction

  • 1.: Policy Conversation on Big Tech

  • 2.: The "Moligopoly" Hypothesis

  • 3.: Economics of Big Tech: Monopoly V Uncertainty

  • 4.: A Concrete Theory of Moligopoly

  • 5.: Antitrust in Moligopoly Markets

  • 6.: Big Tech's Novel Harms: Antitrust or Regulation?

  • Conclusion



About the author

Nicolas Petit is Professor of Competition Law at the European University Institute (EUI) in Florence. Nicolas Petit is also invited Professor at the College of Europe in Bruges. Prior to joining the EUI, Nicolas Petit was Professor at the University of Liege. Nicolas Petit has also held a public office positionas a part time judge with the Belgian competition authority, and has worked in private practice with a leading US law firm in Brussels.

Summary

This book offers a holistic and interdisciplinary account of competition dynamics in the digital economy. It argues that mainstream competition theory and policy are demonstrably inadequate when faced with the nature and intensity of the multi-dimensional rivalry between technology firms such as Google, Microsoft, Apple, Facebook, and Amazon.

Additional text

The Moligopoly Scenario is an ambitious monograph that discusses the nature of competition in digital markets and explores the role of competition law and regulation. It is a provocative read that is full of ideas cutting across disciplines and legal regimes and challenging many of the tools and intuitions that are too often taken for granted. It will spark lively debates and is a valuable reminder that complex emerging phenomena require us to think hard, not to rush to ready-made answers.

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