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Trading Communities, the Networked Structure of International Relations, and the Kantian Peace

Bibliographic Data

ID6283579
AuthorsYonatan Lupu (0000-0002-1735-7511, George Washington University, corresponding author), Vincent A Traag (UCLouvain), Vincent Traag (0000-0003-3170-3879, UCLouvain)
Year2013
Volume57
Issue6
Pages1011-1042
Publication date2013-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Conflict Resolution (JOURNAL)
Journal identifiersISSN: 0022-0027 • E-ISSN: 1552-8766
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0022002712453708
OpenAlexW3121279395
LanguageEN
Citations received33
References cited86

The authors argue that theories regarding the relationship between trade and conflict could benefit greatly from accounting for the networked structure of international trade. Indirect trade relations reduce the probability of conflict by creating (1) opportunity costs of conflict beyond those reflected by direct trade ties and (2) negative externalities for the potential combatants’ trading partners, giving them an incentive to prevent the conflict. Trade flows create groups of states with relatively dense trade ties, which we call trading communities. Within these groups, the interruptions to trade caused by conflict create relatively large costs. As a result, joint members of trading communities are less likely to go to war; however little they directly trade with each other. The authors systematically measure and define trading communities across various levels of aggregation using the network analytic tool of modularity maximization. The authors find significant support for their hypothesis, indicating that interdependence theory can be extended to extra-dyadic relations

Business · Economics · Externality · Incentive · International trade · Maximization · Microeconomics · Economic and Technological Innovation · International Development and Aid · Political Conflict and Governance

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Unique citing works33
Citations per year2,75
Citation span2014 - 2025 (12)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 33

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