JOURNAL ARTICLE

A framework of African Continental Free Trade Area dispute settlement mechanism: legal challenges.

  • Published In: Journal of International Dispute Settlement, 2024, v. 15, n. 3. P. 440 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Demamu, Alemayehu Yismaw 3 of 3

Abstract

The article focuses on the African Continental Free Trade Area (AfCFTA) agreement and its Protocol on Rules and Procedures on the Settlement of Disputes (Dispute Settlement Protocol, DSP), which together establish a continental dispute settlement mechanism (AfCFTA-DSM) for trade disputes among African Union member states. While the AfCFTA-DSM introduces models such as consultation, adjudication, mediation, and arbitration to resolve disputes between State Parties, the article identifies significant legal challenges, including the exclusion of private individuals and companies from accessing the mechanism, unclear jurisdictional overlaps with Regional Economic Communities' DSMs, ambiguities in the Dispute Settlement Body's (DSB) authority during arbitration, and procedural uncertainties such as the handling of rejected reports and the absence of minority opinions and appeal processes in arbitration. These challenges potentially undermine the efficacy, legitimacy, and predictability of the AfCFTA-DSM, prompting recommendations for legal reforms to enhance inclusivity, clarify jurisdiction, and strengthen procedural rules to ensure the mechanism effectively supports intra-African trade and regional integration.

Additional Information

  • Source:Journal of International Dispute Settlement. 2024/09, Vol. 15, Issue 3, p440
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2024
  • ISSN:2040-3585
  • DOI:10.1093/jnlids/idae011
  • Accession Number:179399931
  • Copyright Statement:Copyright of Journal of International Dispute Settlement 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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