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Resolving public goods dilemma by giving the poor more support

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  • Gao, Bo
  • liu, Xuan
  • Hou, Shuxia
  • Jia, Danyang
  • Du, Mingjing

Abstract

The question of resource allocation has been the focus issue in social and natural science. Should we narrow the gap between the rich and poor? Or should we increase the income inequality? Inspired by this matter, we propose a payoff redistribution model and explore which case can evaluate the cooperative level in public goods game. Specifically, we use a single parameter α to control the above two scenarios. Positive α increases the income inequality between rich and poor, while negative α ensures this equality and the case of α = 0 turns our model to the symmetric case, where there is no payoff redistribution effect. Extensive simulation shows that when we narrow the gap between the rich and poor, cooperation can be maintained, conversely, if this income inequality is increased, the cooperative groups are destroyed. Our work thus provides a novel clue to explore this problem especially from the viewpoint of evolutionary game theory.

Suggested Citation

  • Gao, Bo & liu, Xuan & Hou, Shuxia & Jia, Danyang & Du, Mingjing, 2019. "Resolving public goods dilemma by giving the poor more support," Applied Mathematics and Computation, Elsevier, vol. 362(C), pages 1-1.
  • Handle: RePEc:eee:apmaco:v:362:y:2019:i:c:5
    DOI: 10.1016/j.amc.2019.06.043
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    References listed on IDEAS

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    1. Gao, Bo & Deng, Zheng-hong & Zhao, Da-wei & Song, Qun, 2017. "State analysis of Boolean control networks with impulsive and uncertain disturbances," Applied Mathematics and Computation, Elsevier, vol. 301(C), pages 187-192.
    2. Xuelong Li & Marko Jusup & Zhen Wang & Huijia Li & Lei Shi & Boris Podobnik & H. Eugene Stanley & Shlomo Havlin & Stefano Boccaletti, 2018. "Punishment diminishes the benefits of network reciprocity in social dilemma experiments," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(1), pages 30-35, January.
    3. Ernst Fehr & Urs Fischbacher, 2004. "Social norms and human cooperation," Macroeconomics 0409026, University Library of Munich, Germany.
    4. Elinor Ostrom, 2000. "Collective Action and the Evolution of Social Norms," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 137-158, Summer.
    5. Francisco C. Santos & Marta D. Santos & Jorge M. Pacheco, 2008. "Social diversity promotes the emergence of cooperation in public goods games," Nature, Nature, vol. 454(7201), pages 213-216, July.
    6. Gao, Bo & Liu, Xuan & Lan, Zhongzhou & Fu, Rongrong, 2018. "A novel method for reconstructing period with single input in NFSR," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 36-40.
    7. Zhen Wang & Marko Jusup & Lei Shi & Joung-Hun Lee & Yoh Iwasa & Stefano Boccaletti, 2018. "Exploiting a cognitive bias promotes cooperation in social dilemma experiments," Nature Communications, Nature, vol. 9(1), pages 1-7, December.
    8. Zhenhua Pei & Baokui Wang & Jinming Du, 2016. "Effects of income redistribution on the evolution of cooperation in spatial public goods games," Papers 1611.01531, arXiv.org.
    9. Robert J. Smith, 1981. "Resolving the Tragedy of the Commons by Creating Private Property Rights in Wildlife," Cato Journal, Cato Journal, Cato Institute, vol. 1(2), pages 439-468, Fall.
    10. Chunpeng Du & Danyang Jia & Libin Jin & Lei Shi, 2018. "The impact of neutral reward on cooperation in public good game," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 91(10), pages 1-6, October.
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    Cited by:

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    3. Gao, Bo & Liu, Xuan & Lan, Zhong-Zhou & Hong, Jie & Zhang, Wenguang, 2021. "The evolution of cooperation with preferential selection in voluntary public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
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    6. Guang Zhang & Nan He & Yanxia Dong, 2021. "A Proportional-Egalitarian Allocation Policy for Public Goods Problems with Complex Network," Mathematics, MDPI, vol. 9(17), pages 1-12, August.
    7. Wang, Le & Chen, Tong & Wu, Zhenghong, 2021. "Promoting cooperation by reputation scoring mechanism based on historical donations in public goods game," Applied Mathematics and Computation, Elsevier, vol. 390(C).

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