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Cited by 440

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Overlapping Institutions, Forum Shopping, and Dispute Settlement in International Trade

Busch, Marc L.·2007·International Organization

Abstract

Preferential trade agreements offer members an alternative to dispute settlement at the World Trade Organization. This gives rise to forum shopping, in that complainants can file regionally, multilaterally, or not at all. What explains this choice of forum? I argue that complainants strategically discriminate among overlapping memberships: on a given measure(s), some prefer to set a precedent that bears only on a subset of their trade relations, others a precedent that bears on all their trade relations, while still others prefer not to set a precedent. Thus, the key to forum shopping is not simply which institution is likely to come closest to the complainant's ideal ruling against the defendant, but where the resulting precedent will be more useful in the future, enabling the complainant to bring litigation against other members, rather than helping other members bring litigation against the complainant. I consider disputes over Mexican brooms and Canadian periodicals.

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Metadata

Authors
Busch, M. L.
Venue
International Organization
Published
2007-10
Volume
61
Issue
04
Pages
735-761
ISSN
  • 0020-8183 (ISSN-L)
  • 1531-5088
OpenAlex
W2133400069
Cited by
440
References
11
FWCI
102.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Overlapping Institutions, Forum Shopping, and Dispute Settlement in International Trade. https://app.cochat.ai/papers/10.1017/s0020818307070257
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Busch, M. L. (2007). Overlapping Institutions, Forum Shopping, and Dispute Settlement in International Trade. International Organization. https://doi.org/10.1017/s0020818307070257

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.