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Bipartite conflict networks with returns to scale technology

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  • Jiao, Qian
  • Shen, Bo
  • Sun, Xiang

Abstract

This paper considers a complete bipartite conflict network model with returns to scale technology. We show that the impact of the returns to scale technology on agents’ equilibrium behaviors can be determined by two important factors: the size ratio of two coalitions and the degree of local interdependencies of conflicts. We find an inverted U relationship between the returns to scale technology and (individual and total) equilibrium efforts when two coalitions differ sufficiently in size and the degree of local interdependencies of conflicts is high. Our finding suggests that an increase in the returns to scale technology can be beneficial in the sense that it reduces conflict intensity.

Suggested Citation

  • Jiao, Qian & Shen, Bo & Sun, Xiang, 2019. "Bipartite conflict networks with returns to scale technology," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 516-531.
    • Handle: RePEc:eee:jeborg:v:163:y:2019:i:c:p:516-531
    DOI: 10.1016/j.jebo.2019.05.001
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    1. Che, Yeon-Koo & Gale, Ian, 2000. "Difference-Form Contests and the Robustness of All-Pay Auctions," Games and Economic Behavior, Elsevier, vol. 30(1), pages 22-43, January.
    2. Michael D. König & Dominic Rohner & Mathias Thoenig & Fabrizio Zilibotti, 2017. "Networks in Conflict: Theory and Evidence From the Great War of Africa," Econometrica, Econometric Society, vol. 85, pages 1093-1132, July.
    3. Kimbrough, Erik O. & Laughren, Kevin & Sheremeta, Roman, 2020. "War and conflict in economics: Theories, applications, and recent trends," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 998-1013.
    4. Joan Esteban & Debraj Ray, 2008. "On the Salience of Ethnic Conflict," American Economic Review, American Economic Association, vol. 98(5), pages 2185-2202, December.
    5. Giebe, Thomas & Schweinzer, Paul, 2014. "Consuming your way to efficiency: Public goods provision through non-distortionary tax lotteries," European Journal of Political Economy, Elsevier, vol. 36(C), pages 1-12.
    6. Epstein, Gil S. & Mealem, Yosef & Nitzan, Shmuel, 2011. "Political culture and discrimination in contests," Journal of Public Economics, Elsevier, vol. 95(1), pages 88-93.
    7. Gradstein, Mark & Konrad, Kai A, 1999. "Orchestrating Rent Seeking Contests," Economic Journal, Royal Economic Society, vol. 109(458), pages 536-545, October.
    8. Qiang Fu & Qian Jiao & Jingfeng Lu, 2015. "Contests with endogenous entry," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(2), pages 387-424, May.
    9. Qiang Fu & Jingfeng Lu, 2012. "The optimal multi-stage contest," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 51(2), pages 351-382, October.
    10. Garfinkel, Michelle R. & Skaperdas, Stergios, 2007. "Economics of Conflict: An Overview," Handbook of Defense Economics, in: Keith Hartley & Todd Sandler (ed.), Handbook of Defense Economics, edition 1, volume 2, chapter 22, pages 649-709, Elsevier.
    11. Nti, Kofi O., 2004. "Maximum efforts in contests with asymmetric valuations," European Journal of Political Economy, Elsevier, vol. 20(4), pages 1059-1066, November.
    12. Lu, Jingfeng & Shen, Bo & Wang, Zhewei, 2017. "Optimal contest design under reverse-lottery technology," Journal of Mathematical Economics, Elsevier, vol. 72(C), pages 25-35.
    13. Fang, Hanming, 2002. "Lottery versus All-Pay Auction Models of Lobbying," Public Choice, Springer, vol. 112(3-4), pages 351-371, September.
    14. Ron P Smith, 2014. "The economic costs of military conflict," Journal of Peace Research, Peace Research Institute Oslo, vol. 51(2), pages 245-256, March.
    15. Smith, Adam C. & Houser, Daniel & Leeson, Peter T. & Ostad, Ramin, 2014. "The costs of conflict," Journal of Economic Behavior & Organization, Elsevier, vol. 97(C), pages 61-71.
    16. Che, Yeon-Koo & Gale, Ian, 1997. "Rent Dissipation When Rent Seekers Are Budget Constrained," Public Choice, Springer, vol. 92(1-2), pages 109-126, July.
    17. Cortes-Corrales, Sebastián & Gorny, Paul M., 2018. "Generalising Conflict Networks," MPRA Paper 90001, University Library of Munich, Germany.
    18. Esteban, Joan & Ray, Debraj, 1999. "Conflict and Distribution," Journal of Economic Theory, Elsevier, vol. 87(2), pages 379-415, August.
    19. Alex Gershkov & Jianpei Li & Paul Schweinzer, 2009. "Efficient tournaments within teams," RAND Journal of Economics, RAND Corporation, vol. 40(1), pages 103-119, March.
    20. Wang Zhewei, 2010. "The Optimal Accuracy Level in Asymmetric Contests," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 10(1), pages 1-18, April.
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    3. Jiao, Qian & Xu, Jin, 2020. "Competition for networked agents in the lottery Blotto game," Economics Letters, Elsevier, vol. 197(C).

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    More about this item

    Keywords

    Conflict network games; Local interdependency; Returns to scale technology; Tullock contest;
    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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