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群体性突发事件化解机制的随机演化博弈模型 被引量:12

Stochastic Evolutionary Game Model for Resolution Mechanism of Mass Events
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摘要 有效化解群体性突发事件是各级政府维护社会和谐稳定面临的重要任务之一。促使抗议群体产生分化进而部分成员接受处置方案成为有效化解事件的关键环节。本文基于Moran过程的随机演化博弈理论,分析了抗议群体选择"退出抗议"策略成为均衡解的成立条件,揭示了群体性突发事件的内生化解机制。研究发现,系统的随机性越小,冲突双方争夺的经济资源越小,政府补偿额和冲突成本越大,群体性突发事件中抗议群体退出抗议的固定概率越大,事态趋于平息。抗议群众规模存在着一个能够成功化解的临界值。比较随机性干扰占据主导地位的弱选择过程和排除了随机性因素的强选择过程,后者具有更小的临界抗议群众规模。本文研究为揭示群体性事件的化解机制提供了一种基于随机演化博弈的新理论解释。 Effectively resolving mass events is one of the important tasks faced by Chinese governments at all levels in maintaining social harmony and stability.Mass events have some management characteristics such as strong suddenness caused by random interference factors,rapid evolution with the updated external environment,limited number of participants(from more than five people to thousands of people)and inconsistent interests of the protesters.The key step to successfully resolve events is that the protest group is divided into small groups and then some members accept the solution.In this paper,in order to discover the resolution mechanism of mass evens,a stochastic evolutionary game model of mass event is proposed based on the Moran process in the limited population.Given the factor game of protesters that the protesters can choose to exit the protest strategy W and continue to protest strategy A,the probability that the number of protesters with the withdraw strategy increases by one unit is defined as Pi,i+1=ifi/ifi+(N-i)gi·(N-i)/N,where the total number of protesters is N,the number of protesters with the withdraw strategy is i,the protesters'utility taken the withdraw strategy is,fi=1-β+βπWi,and the protesters'utility taken the continuous protest is gi=1-β+βπAi.The parameterβdenotes selection intensity,β∈[0,1].Ifβ→0,then it is weak selection,Ifβ=1,then it is strong selection,where the utility function is equal to the relative payoff.Then,the impact of selection intensity on the evolutionary equilibrium of mass events is analyzed.If random elements dominate the evolution of events,i.e.β→0,the strategy of withdraw protest W will become a evolutionary equilibrium in the condition ofρW=1/(1+N-1ΣI=1I■k=1gk/fk)>1/N,whereρW means the fixation probability of W strategy.If the deterministic factors dominate the evolution of events,i.e.β=1,the strategy of withdraw protest W will become a evolutionary equilibrium in the condition of h1>0,hN-1>0,where h is the difference of utility function between withdraw protest strategy W and continue protest strategy A.The above results provide the necessary condition and resolution mechanism for mass events.Lastly,the numerical analysis is taken based on the land expropriation compensation incident in Dongguan city.The results show that the mass events are resolved successfully,when the interference of random factors is relatively small,the economic resources that are competed by governments and protesters is lower,the government compensation and the cost of conflict are higher,and the fixation probability that the protesters exit the protest is larger.The scale of the protesters has a threshold at which protests can be successfully defused.Comparing the weak selection process dominated by random factors with the strong selection process excluding random factors,the latter has a smaller critical scale of protesters.In conclusion,a new theoretical explanation about the resolution mechanism of mass events is provided based on the stochastic evolutionary game theory.Moreover,an abundant management inspiration for local governments is provided to resolve mass events effectively.For example,the size of the protesters is an important factor in the successful resolution of the mass events.In the initial stage of the mass incident where the external random factors and the size of the group participating are small,the local government should increase the disposal intensity.The government adheres to the principle of resolving the rule of law channels and increases the punishment for illegal acts of beating,smashing and looting,which is conducive to the resolution of events and so on.
作者 宋民雪 刘德海 SONG Min-xue;LIU De-hai(School of Management Science and Engineering,Dongbei University of Finance&Economics,Dalian 116025,China)
出处 《中国管理科学》 CSSCI CSCD 北大核心 2020年第4期142-152,共11页 Chinese Journal of Management Science
基金 国家重点研发计划"公共安全风险防控与应急技术装备"重点专项课题(2018YFC0807500) 国家自然科学基金资助项目(71874024,71571033,71571035,71503033,71602021)。
关键词 群体性突发事件 随机演化博弈 应急管理 化解机制 Moran过程 mass event stochastic evolutionary game emergency management resolving mechanism Moran process
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