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腐败、人情关系及其治理探寻 被引量:1
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作者 刘津 《中共宁波市委党校学报》 2021年第2期79-89,共11页
中国社会正转变成陌生人社会,人们行动的环境也呈现出熟人圈、混合圈和陌生人圈并存的状态。由于不同环境下的交易成本不同,行动主体在熟人圈中倾向于采用人情关系机制而在陌生人圈中采用市场机制,从而在中国社会形成了资源配置的“双... 中国社会正转变成陌生人社会,人们行动的环境也呈现出熟人圈、混合圈和陌生人圈并存的状态。由于不同环境下的交易成本不同,行动主体在熟人圈中倾向于采用人情关系机制而在陌生人圈中采用市场机制,从而在中国社会形成了资源配置的“双规制”状态,但是这是一种过渡的状态。人情关系包括情感性部分、工具性部分和规范性部分,随着现实社会的转型,人情关系的现实形式也发生了变化,人情关系会逐渐褪去资源配置机制的色彩而情感性和规范性功能会保留下来。腐败的发生是因为外部势力带来了资源配置的干扰,并且这种势力缺乏有效的监管,导致了行动主体无法有效的通过人情关系机制和市场机制获得需要的资源。之所以容易将人情关系与腐败联系起来是因为,人情关系与腐败存在一些形式上的相似性,但在腐败发生的路径分析后认为,腐败与人情关系并没有必然的联系、有着本质上的区别,并针对腐败治理提出了建议。 展开更多
关键词 腐败治理 人情关系 熟人社会 市场机 “双规制”
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Bilevel linear programming model of charging for effluent based on price control
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作者 李煜华 李磊 +1 位作者 胡运权 邵海宏 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2007年第2期292-296,共5页
For the optimum price problem of charging for effluent, this paper analyzes the optimal Pigovian Tax and the serious information asymmetry problem existing in the application process of optimal Pigovian Tax, which is ... For the optimum price problem of charging for effluent, this paper analyzes the optimal Pigovian Tax and the serious information asymmetry problem existing in the application process of optimal Pigovian Tax, which is predominant in theory. Then the bilevel system optimizing decision-making theory is applied to give bilevel linear programming decision-making model of charging for effluent, in which the government (environmental protection agency) acts as the upper level decision-making unit and the polluting enterprises act as the lower level decision-making unit. To some extent, the model avoids the serious information asymmetry between the government and the polluting enterprises on charging for effluent. 展开更多
关键词 charging for effluent Pigovian Tax price control bilevel linear programming information asymmetry
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A QUADRATIC OBJECTIVE PENALTY FUNCTION FOR BILEVEL PROGRAMMING 被引量:2
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作者 JIANG Min MENG Zhiqing +1 位作者 SHEN Rui XU Xinsheng 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2014年第2期327-337,共11页
The bilevel programming is applied to solve hierarchical intelligence control problems in such fields as industry, agriculture, transportation, military, and so on. This paper presents a quadratic objective penalty fu... The bilevel programming is applied to solve hierarchical intelligence control problems in such fields as industry, agriculture, transportation, military, and so on. This paper presents a quadratic objective penalty function with two penalty parameters for inequality constrained bilevel programming. Under some conditions, the optimal solution to the bilevel programming defined by the quadratic objective penalty function is proved to be an optimal solution to the original bilevel programming. Moreover, based on the quadratic objective penalty function, an algorithm is developed to l^nd an optimal solution to the original bilevel programming, and its convergence proved under some conditions. Furthermore, under the assumption of convexity at function without lower level problems is defined and lower level problems, a quadratic objective penalty is proved equal to the original bilevel programming. 展开更多
关键词 ALGORITHM bilevel programming penalty function quadratic objective.
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