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基于拓展Tullock模型的开发商寻租博弈均衡策略
引用本文:刘天虎,黄武军,许维胜,吴启迪.基于拓展Tullock模型的开发商寻租博弈均衡策略[J].同济大学学报(自然科学版),2010,38(12).
作者姓名:刘天虎  黄武军  许维胜  吴启迪
作者单位:1. 同济大学,电子与信息工程学院,上海,200092
2. 同济大学,经济与管理学院,上海,200092
3. 同济大学,电子与信息工程学院,上海,200092;同济大学,经济与管理学院,上海,200092
摘    要:以开发商土地寻租博弈均衡策略为核心,首先对经典Tullock寻租博弈模型进行了拓展,得到了基于不同土地价值期望的寻租博弈模型.随后对均一估值和差异估值下的博弈均衡进行了分析,得到了寻租博弈参与人的有效均衡策略.该模型可以对寻租博弈的最终结果进行预测,有利于经济合理地使用社会资源.最后,利用实例对该模型的有效性和可行性进行了说明.

关 键 词:Tullock模型  寻租博弈  均衡策略
收稿时间:8/28/2009 9:27:38 PM
修稿时间:12/5/2009 9:53:25 PM

The Equilibrium Strategies of Rent-Seeking Games of Developer based on Improved Tullock Model
LIU Tianhu,HUANG Wujun,XU Weisheng and WU Qidi.The Equilibrium Strategies of Rent-Seeking Games of Developer based on Improved Tullock Model[J].Journal of Tongji University(Natural Science),2010,38(12).
Authors:LIU Tianhu  HUANG Wujun  XU Weisheng and WU Qidi
Institution:College of Electronics and Information Engineering,Tongji University, Shanghai 200092,China;College of Economics and Management,Tongji University,Shanghai 200092,China;College of Electronics and Information Engineering,Tongji University, Shanghai 200092,China;College of Electronics and Information Engineering,Tongji University, Shanghai 200092,China;College of Economics and Management,Tongji University,Shanghai 200092,China
Abstract:This study focused on equilibrium strategy of developer land rent-seeking game. At first, the classical Tullock rent-seeking game model was improved and got the rent-seeking games model based on different expectation of land value. Subsequently, the analysis of game equilibrium was conducted under equalization assessment and discrepancy assessment of land value and realized effective equilibrium strategy of rent-seeking games participant. This model can be used for the result forecast of rent-seeking games, which is benefit for the economical and reasonable use of social resources. Eventually, a practical example was provided to illustrate the validity and feasibility of this model.
Keywords:Tullock model  rent-seeking games  equilibrium strategies
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