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中国管理科学 ›› 2017, Vol. 25 ›› Issue (3): 102-110.doi: 10.16381/j.cnki.issn1003-207x.2017.03.012

• 论文 • 上一篇    下一篇

考虑学习速度的小世界网络上排污权拍卖策略演化

郑君君, 王向民, 朱德胜, 王璐   

  1. 武汉大学经济与管理学院, 湖北 武汉 430072
  • 收稿日期:2015-08-17 修回日期:2016-04-01 出版日期:2017-03-20 发布日期:2017-05-27
  • 通讯作者: 郑君君(1966-),女(汉族),湖北松滋人,武汉大学经济与管理学院教授,博士生导师,研究方向:拍卖理论、机制设计,E-mail:99zhengjunjun@163.com.
  • 基金资助:

    国家自然科学基金资助项目(71371147)

Evolution of Strategies in Emissions Permits Auction on Small-world Networks with Learning Speed

ZHENG Jun-jun, WANG Xiang-min, ZHU De-sheng, WANG Lu   

  1. School of Economics and Management, Wuhan University, Wuhan 430072, China
  • Received:2015-08-17 Revised:2016-04-01 Online:2017-03-20 Published:2017-05-27

摘要: 针对排污权拍卖中厂商信息交互结构对其策略演化的影响,运用网络演化博弈方法,将小世界网络引入到排污权统一价格拍卖的博弈分析之中。采用小世界网络刻画厂商的信息交互结构,同时将厂商的学习速度引入到博弈参与人的博弈策略更新规则中,并运用eclipse仿真研究厂商的策略演化与其学习速度及信息交互结构的关系。研究结果表明:厂商的策略收敛速度与学习速度、度正相关;与网络聚类系数、社团结构数目先正相关、后反相关;社团内部厂商的策略收敛速度快于社团外部厂商,存在最优网络聚类系数与最优社团结构数目。研究结果为排污权出让方如何有效诱导竞买方真实报价,提高双方的决策效率提供了建议参考。

关键词: 信息交互结构, 策略更新规则, 小世界网络, 学习速度

Abstract: In order to study the effects of manufacturers' information interaction structure on their strategies evolution in emissions permits auction, the method of evolutionary games on networks is utilized and a small-world network is introduced into the analysis of auction, and a small-world network is employed to portray manufacturers' information interaction structure. Meanwhile, learning speed is integrated into the strategy updating rule. Then, eclipse is used to simulate the effects of manufacturers' information interaction structure and their learning speed on the strategies evolution. The simulation results show that, manufacturers' strategies convergence speed has a positive correlation with their learning speed and degree, but has a first positive later negative correlation with clustering coefficient as well as the number of community structure. In addition, the strategies convergence speed of manufacturers in community is faster than that of manufacturers out community. There exits an optimal network clustering coefficient and an optimal number of community structure. At last, several suggestions are provided for government and manufacturers. The conclusion of this paper is helpful for emission rights licensors to induce the bidders to offer real price and can be regarded as a reference to improve the efficiency of decision-making on both sides.

Key words: information interaction structure, strategies updating rule, small-world networks, learning speed

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