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Centralized command and coalition victory

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  • Daniel S. Morey

Abstract

Building upon research that found that coalitions are more likely to win wars, recent work has sought to differentiate effective from ineffective coalitions. Much of this work focuses on characteristics of member states and not the coalition itself. This paper takes a first step in exploring how the structure of a coalition contributes to its performance. Specifically, coalitions vary in how much control members must transfer to the coalition. Some coalitions form weak command structures with states maintaining primary control while other coalitions form a strong centralized command. The impact of command structure on coalition performance is vital to understanding the success and failure of coalitions. Highly centralized command structures allow states to overcome the problems associated with coalition warfare and achieve victory. Empirical evidence supports this claim; the odds of victory increase as states surrender more control to the coalition. These findings provide direct advice to policy makers considering forming a coalition. The implications of this research extend to the alliance literature and the war bargaining literature, which tend to assume either that wars are dyadic or that states can seamlessly aggregate military capabilities.

Suggested Citation

  • Daniel S. Morey, 2020. "Centralized command and coalition victory," Conflict Management and Peace Science, Peace Science Society (International), vol. 37(6), pages 716-734, November.
  • Handle: RePEc:sae:compsc:v:37:y:2020:i:6:p:716-734
    DOI: 10.1177/0738894220934884
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    References listed on IDEAS

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    1. Skyler J. Cranmer & Elizabeth J. Menninga, 2018. "Coalition Quality and Multinational Dispute Outcomes1," International Interactions, Taylor & Francis Journals, vol. 44(2), pages 217-243, March.
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    4. Ulrich Pilster, 2011. "Are Democracies the Better Allies? The Impact of Regime Type on Military Coalition Operations," International Interactions, Taylor & Francis Journals, vol. 37(1), pages 55-85, March.
    5. Poast, Paul, 2010. "(Mis)Using Dyadic Data to Analyze Multilateral Events," Political Analysis, Cambridge University Press, vol. 18(4), pages 403-425.
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