JOURNAL ARTICLE

Are Investment Treaties Redundant? Evidence from Investor-State Disputes.

  • Published In: ICSID Review: Foreign Investment Law Journal, 2025, v. 40, n. 1. P. 73 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Pahis, Stratos 3 of 3

Abstract

This article examines whether international investment treaties truly matter by analyzing a novel data set of 633 ICSID (International Centre for Settlement of Investment Disputes) investment treaty arbitrations from 1987 to 2019. It finds that 60 percent of treaty disputes arise from investments involving contracts with State entities—such as concession contracts or joint ventures—that could have replicated treaty protections at little or no additional cost, and these disputes account for 89 percent of approximately US$30 billion in damages awarded. The study suggests that investment treaties matter less than commonly believed because for many investments, investor-State contracts serve as effective substitutes, while treaties are more significant for protecting investments lacking such contractual relationships (e.g., equity investments). The findings imply that reform efforts should not only reconsider the scope of treaty protections—potentially excluding investments already governed by State contracts—but also address the transparency and governance challenges posed by investor-State contracts and commercial arbitration, which are likely to grow in importance if treaty protections are limited or abolished.

Additional Information

  • Source:ICSID Review: Foreign Investment Law Journal. 2025/01, Vol. 40, Issue 1, p73
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2025
  • ISSN:0258-3690
  • DOI:10.1093/icsidreview/siaf001
  • Accession Number:187146960
  • Copyright Statement:Copyright of ICSID Review: Foreign Investment Law Journal is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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