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Game theory approach to optimal capital cost allocation in pollution control
作者姓名:Chen Wen-ying  Hou Dun
作者单位:Chen Wen ying Institute of Nuclear Energy Technology,Tsinghua University,Beijing 100084,China Hou Dun Urban Water Resources Center,Ministry of Construction,Beijing 100007,China
摘    要:GametheoryapproachtooptimalcapitalcostalocationinpolutioncontrolChenWenyingInstituteofNuclearEnergyTechnology,TsinghuaUniver...

关 键 词:total  emission  control  optimal  capital  cost  allocation
收稿时间:1997/6/11 0:00:00
修稿时间:1997/8/18 0:00:00

Game theory approach to optimal capital cost allocation in pollution control
Chen Wen-ying,Hou Dun.Game theory approach to optimal capital cost allocation in pollution control[J].Journal of Environmental Sciences,1998,10(2):231-237.
Authors:Chen Wen-ying  Hou Dun
Institution:1. Institute of Nuclear Energy Technology, Tsinghua University,Beijing 100084, China
2. Urban Water Resources Center, Ministry of Construction,Beijing 10007, China
Abstract:This paper tries to integrate game theory, a very useful tool to resolve conflict phenomena, with optimal capital cost allocation issue in total emission control. First the necessity of allocating optimal capital costs fairly and reasonably among polluters in total emission control was analyzed. Then the possibility of applying game theory to the issue of the optimal capital cost allocation was expounded. Next the cooperative N person game model of the optimal capital cost allocation and its solution ways including method based on Shapley value, least core method, weak least core methods, proportional least core method, CGA method, MCRS method and so on were delineated. Finally through application of these methods it was concluded that to apply game theory in the optimal capital cost allocation issue is helpful to implement the total emission control planning schemes successfully, to control pollution effectively, and to ensure sustainable development.
Keywords:total emission control  optimal capital cost  allocation  game theory  cooperative N person game model  
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