[1]曹黎侠.地区环境污染的监管模型与流程设计[J].计算机技术与发展,2014,24(04):200-202.
　CAO Li-xia.Design of Regulation Model and Process of Regional Environmental Pollution[J].,2014,24(04):200-202.
点击复制

地区环境污染的监管模型与流程设计()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年04期
页码:
200-202
栏目:
应用开发研究
出版日期:
2014-04-30

文章信息/Info

Title:
Design of Regulation Model and Process of Regional Environmental Pollution
文章编号:
1673-629X（2014）04-0200-03
作者:
曹黎侠
西安工业大学 理学院
Author(s):
CAO Li-xia
关键词:
环境污染; 博弈论; 纳什均衡
Keywords:
environmental pollution; game theory; Nash equilibrium
分类号:
O225
文献标志码:
A
摘要:
为了保证排污治污政策的有效性和可操作性，为企业的排污和政府的监管提供合理化的建议和定量化的结果，文中以企业和政府在各种策略下的收益为出发点，建立了地区污染监管的博弈模型，给出了政府监管的最佳概率和企业排污的最佳概率，使博弈双方达到了混合策略纳什均衡。基于污染治理的博弈结果，对政府治污的监管流程进行了深入的研究和设计；当达到排污与监管的博弈均衡时，增收增产税和增收惩罚金的方式，对政府监管的概率影响不大，也就是相对稳定；而企业生产改变量差异较大，增收增产税法使企业具有更大的生产自主性。仿真示例结果表明，污染监管控制模型和流程设计是有效可行的，具有可操作性。
Abstract:
To ensure the effectiveness and operability of the pollution control policy,and provide the rationalization recommendations and quantification of the results for sewage and regulators, establish a model game of regional pollution treatment and solution algorithm. Starting point to the enterprises and government's revenue in a variety of strategies,give the best probability of government regulation and enterprises sewage,making the game's two sides reached a mixed strategy Nash equilibrium. Based on the game results of pollution treatment,conducted in-depth research and design on the government to prevent water pollution monitoring mechanism. When reaching game equilibrium of sewage and supervision,the methods of increase yield taxes and income punishment gold,have little probability of impact of government regulation,which is relatively stable;and the amount of production change are quite different,the increase yield ta-xes has greater production autonomy than the income punishment gold to enterprises. Example of algorithms results show that pollution regulation's game model and mechanism design are feasible and effective,with operability.

相似文献/References:

[1]李磊 董健全.基于博弈论的P2P激励机制的研究与设计[J].计算机技术与发展,2009,(05):5.
　LI Lei,DONG Jian-quan.Research and Design of An Incentive Mechanism of P2P Based on Game Theory[J].,2009,(04):5.
[2]冯坚 王书田 林日光.一种TCP博弈模型的Nash均衡存在性分析与仿真[J].计算机技术与发展,2009,(11):76.
　FENG Jian,WANG Shu-tian,LIN Ri-guang.Analysis and Simulation to Existence of Nash Equilibria in a TCP Game[J].,2009,(04):76.
[3]张怡 刘高嵩 李章华 刘轲平.基于博弈论的P2P系统分析[J].计算机技术与发展,2007,(08):26.
　ZHANG Yi,LIU Gao-song,LI Zhang-hua,et al.Analysis on P2P System Based on Game Theory[J].,2007,(04):26.
[4]曹黎侠.博弈论在数学综合素质培养机制中的应用[J].计算机技术与发展,2012,(02):189.
　CAO Li-xia.Game Theory Application in Mathematical Mode of Overall Quality of Cultivation[J].,2012,(04):189.
[5]刘冰 万佑红.CDMA系统中基于博弈论的速率与功率联合控制[J].计算机技术与发展,2012,(11):53.
　LIU Bing,WAN You-hong.Joint Control of Rate and Power in CDMA System Based on Game Theory[J].,2012,(04):53.
[6]黄德文,周井泉.基于价格的认知网络频谱共享博弈论模型[J].计算机技术与发展,2013,(08):66.
　HUANG De-wen,ZHOU Jing-quan.Cognitive Network Spectrum Sharing Game Theory Model Based on Price[J].,2013,(04):66.
[7]曹黎侠.博弈均衡理论与算法在人才培养模型中的应用[J].计算机技术与发展,2013,(01):234.
　CAO Li-xia.Application of Game Theory and Algorithm for Talent Training Model[J].,2013,(04):234.
[8]蔡媛媛,曹自平,张金娅.基于博弈论的 ALM 协议改进算法[J].计算机技术与发展,2018,28(05):59.[doi:10.3969/j.issn.1673－629X.2018.05.014]
　CAI Yuan-yuan,CAO Zi-ping,ZHANG Jin-ya.Improved Algorithm of ALM Protocol Based on Game Theory[J].,2018,28(04):59.[doi:10.3969/j.issn.1673－629X.2018.05.014]
[9]刘雪亮,胡晓辉. 一种改进的社会网络动态信任模型[J].计算机技术与发展,2016,26(06):51.
　LIU Xue-liang,HU Xiao-hui. An Improved Dynamic Trust Model in Social Network[J].,2016,26(04):51.
[10]李亚玲. 密集飞蜂窝网中基于博弈论的最佳功率分配法[J].计算机技术与发展,2016,26(10):169.
　LI Ya-ling. Optimal Power Allocation Strategy Based on Stackelberg Game Approach in Dense Femtocell Networks[J].,2016,26(04):169.

更新日期/Last Update: 1900-01-01