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Cited by 554

The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

Investing in the Peace: Economic Interdependence and International Conflict

Gartzke, Erik, Li, Quan, Boehmer, Charles·2001·International Organization

Abstract

Research appears to substantiate the liberal conviction that trade fosters global peace. Still, existing understanding of linkages between conflict and international economics is limited in at least two ways. First, cross-border economic relationships are far broader than just trade. Global capital markets dwarf the exchange of goods and services, and states engage in varying degrees of monetary policy coordination. Second, the manner in which economics is said to inhibit conflict behavior is implausible in light of new analytical insights about the causes of war. We discuss, and then demonstrate formally, how interdependence can influence states' recourse to military violence. The risk of disrupting economic linkages—particularly access to capital—may occasionally deter minor contests between interdependent states, but such opportunity costs will typically fail to preclude militarized disputes. Instead, interdependence offers nonmilitarized avenues for communicating resolve through costly signaling. Our quantitative results show that capital interdependence contributes to peace independent of the effects of trade, democracy, interest, and other variables.

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Metadata

Authors
Gartzke, E., Li, Q., & Boehmer, C.
Venue
International Organization
Published
2001
Volume
55
Issue
2
Pages
391-438
ISSN
  • 0020-8183 (ISSN-L)
  • 1531-5088
OpenAlex
W2134967443
Cited by
554
References
74
FWCI
55.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Investing in the Peace: Economic Interdependence and International Conflict. https://app.cochat.ai/papers/10.1162/00208180151140612
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Gartzke, E., Li, Q., & Boehmer, C. (2001). Investing in the Peace: Economic Interdependence and International Conflict. International Organization. https://doi.org/10.1162/00208180151140612

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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.