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Conflict networks

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  • Franke, Jörg
  • Öztürk, Tahir

Abstract

Conflict parties are frequently involved in more than one conflict simultaneously. In this paper the structure of local conflicts is modeled as a conflict network where rivals invest in conflict specific technology to attack their respective neighbors. We prove that there exists a unique equilibrium and examine the relation between total conflict investment (a proxy for conflict intensity) and underlying network characteristics. We also identify a class of conflict networks where peaceful conflict resolution is beneficial in the sense that conflict intensity is reduced. Outside of this class peaceful conflict resolution may be detrimental because countervailing local network effects can actually result in higher conflict intensity.

Suggested Citation

  • Franke, Jörg & Öztürk, Tahir, 2015. "Conflict networks," Journal of Public Economics, Elsevier, vol. 126(C), pages 104-113.
    • Handle: RePEc:eee:pubeco:v:126:y:2015:i:c:p:104-113
    DOI: 10.1016/j.jpubeco.2015.04.002
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    • Franke, Jörg & Öztürk, Tahir, 2009. "Conflict Networks," Ruhr Economic Papers 116, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

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    4. Grandjean, G. & Tellone, D. & Vergote, W., 2017. "Endogenous network formation in a Tullock contest," Mathematical Social Sciences, Elsevier, vol. 85(C), pages 1-10.
    5. Cortes-Corrales, Sebastián & Gorny, Paul M., 2018. "Generalising Conflict Networks," MPRA Paper 90001, University Library of Munich, Germany.

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    More about this item

    Keywords

    Network games; Conflicts; Conflict resolution;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

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