Please wait a minute...
文章检索
复杂系统与复杂性科学  2024, Vol. 21 Issue (1): 85-91    DOI: 10.13306/j.1672-3813.2024.01.011
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
混合所有制企业高管团队动态合作行为演化博弈分析
宋美1, 王振源1, 葛玉辉2, 刘举胜3
1.华东师范大学经济与管理学院, 上海 200062;
2.上海理工大学管理学院, 上海 200093;
3.上海政法学院经济管理学院, 上海 201701
Evolutionary Game Analysis of Dynamic Cooperative Behavior of Top-management Teams in Mixed Ownership Enterprises
SONG Mei1, WANG Zhenyuan1, GE Yuhui2, LIU Jusheng3
1. School of Economics and Management, East China Normal University, Shanghai 200062, China;
2. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;
3. School of Economics and Management, Shanghai University of Political Science and Law, Shanghai 201701, China
全文: PDF(1590 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 基于有限理性视角,运用演化博弈理论,构建了国企高管团队和私企高管团队动态合作行为演化博弈模型,探讨了违约罚金、政府奖励、合作成本、合作收益对高管团队合作行为演化的影响,并对其演化过程进行了数值仿真和相关分析。研究表明:混合所有制企业高管团队合作双方的最终策略将会稳定于合作与不合作策略,不会稳定于一方合作,一方不合作策略。其中,在一定范围内,增大违约罚金,增加政府奖励,减小合作成本,增大合作收益系数将会促使国企高管和私企高管合作行为由不合作向合作进行转变。研究以期为中国国企混改顺利推进,形成国企混改高效制度安排提供一定参鉴意义。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
宋美
王振源
葛玉辉
刘举胜
宋美
王振源
葛玉辉
刘举胜
关键词 混合所有制企业高管团队合作行为演化博弈复制动态方程    
Abstract:Based on the perspective of bounded rationality, this paper first constructed a dynamic game model of dynamic cooperative behavior to explore this problem. Secondly, it discussed the impact of contract fines, government incentives, cooperation costs, and cooperation revenues on the evolution of top-management team behavior. Finally, it carried out numerical simulation and correlation analysis on its evolution process. The research shows that the final strategy of the two sides in the cooperation of the senior management team of mixed ownership enterprises will be stable in the cooperation and non-cooperation strategy, and will not be stable in the cooperation and non-cooperation strategy of one party. Among them, within a certain range, increasing the penalty of contract, increasing government incentives, reducing cooperation costs, and increasing the coefficient of cooperation revenue can promote the transformation from non-cooperation to cooperation. We hope that this study can provide some reference significance for the smooth progress of the mixed reform of state-owned enterprises and form efficient institutional arrangements.
Key wordsmixed ownership enterprise    top-management team    cooperative behavior    evolutionary game    replicated dynamic equation
收稿日期: 2022-08-09      出版日期: 2024-04-26
:  F272.92  
基金资助:国家自然科学基金(72072057);教育部人文社会科学研究规划基金(17YJA630020);上海市一流学科建设项目( S1201YLXK);上海政法学院青年教师国家社科基金培育项目(C-02-22-009-0401)。
通讯作者: 王振源(1976-),男,台湾彰化人,博士,教授,主要研究方向为组织行为与人力资源管理。   
作者简介: 宋美(1991-),女,江苏扬州人,博士研究生,主要研究方向为国企混改,管理博弈。
引用本文:   
宋美, 王振源, 葛玉辉, 刘举胜. 混合所有制企业高管团队动态合作行为演化博弈分析[J]. 复杂系统与复杂性科学, 2024, 21(1): 85-91.
SONG Mei, WANG Zhenyuan, GE Yuhui, LIU Jusheng. Evolutionary Game Analysis of Dynamic Cooperative Behavior of Top-management Teams in Mixed Ownership Enterprises[J]. Complex Systems and Complexity Science, 2024, 21(1): 85-91.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2024.01.011      或      https://fzkx.qdu.edu.cn/CN/Y2024/V21/I1/85
[1] 马红,侯贵生.混合所有制改革、地方国企依赖与国有企业创新升级——基于制造业的实证研究[J].上海财经大学学报,2019,21(2):30-45,64.
MA H, HOU G S. Mixed ownership reform, local SOE dependence and the innovation and upgrading of state-owned enterprises' innovation—an empirical research based on manufacturing industry[J]. Journal of Shanghai University of Finance and Economics,2019,21(2):30-45,64.
[2] 李维安.深化国企改革与发展混合所有制[J].南开管理评论,2014,17(3):1.
LI W A. Deepen the reform of state-owned enterprises and develop mixed ownership[J].Nankai Business Review,2014,17(3):1.
[3] 项安波.重启新一轮实质性、有力度的国企改革——纪念国企改革40年[J].管理世界,2018,34(10):95-104.
XIANG A B. Restart a new round of substantial and powerful state-owned enterprise reform—commemorating 40 years of state-owned enterprise reform[J]. Journal of Management World,2018,34(10):95-104.
[4] 戚聿东,张任之. 新时代国有企业改革如何再出发?——基于整体设计与路径协调的视角[J]. 管理世界, 2019,35(3):17-30.
QI Y D, ZHANG R Z. How to restart the reform of state-owned enterprises in the new era?—based on the perspective of overall design and path coordination[J]. Journal of Management World,2019,35(3):17-30.
[5] 汤吉军,刘嘉琳.国有企业改革40年:中国经验及其世界意义——2018中国国有经济发展论坛综述[J].经济学动态,2018(12):152-153.
TANG J J, LIU J L. 40 years of state-owned enterprise reform—China's experience and its world significance—summary of 2018 China state owned economic development forum[J]. Economic Perspectives, 2018(12):152-153.
[6] 叶玲,王亚星.混合所有制改革下公司治理结构的动态调整路径研究[J].当代财经,2018(8):69-76.
YE L, WANG Y X. A study of dynamic adjustment path of corporate governance structure under mixed ownership reform[J]. Contemporary Finance & Economics, 2018(8):69-76.
[7] 孙彤,薛爽. 管理层自利行为与外部监督——基于信息披露的信号博弈[J]. 中国管理科学, 2019, 27(2): 187-196.
SUN T, XUE S. Executives' self-interests behavior and external supervision—signaling game model based on information disclosure quality[J]. Chinese Journal of Management Science,2019,27(2):187-196.
[8] 田妮,张宗益. 对“一把手”权力集中现象的另一种解释——基于控制权收益的视角[J]. 系统工程, 2017, 35(9):70-78.
TIAN N, ZHANG Z Y. An explanation to centralization of power in the hand of top chief executive—from the perspective of benefit of control[J]. Systems Engineering, 2017,35(9):70-78.
[9] 顾亮. 博弈视角下的企业集团成员关系研究[J]. 经济与管理评论,2016,32(5):45-52.
GU L. A game-theory approach to relations among business group members[J]. Review of Economy and Management, 2016,32(5):45-52.
[10]杨俊杰,曹国华. 基于声誉考虑的高管和控股股东策略演化博弈研究[J]. 重庆大学学报(社会科学版), 2016,22(4):71-80.
YANG J J, CAO G H. Evolution game study on executives base on reputation considerations and controlling shareholders[J]. Journal of Chongqing University(Social Science Edition),2016,22(4):71-80.
[11]宋美,葛玉辉,刘举胜.混改背景下国企私企R&D合作创新路径演化研究[J].工业工程与管理,2020, 25(5):59-67.
SONG M, GE Y H, LIU J S. Research on the evolution of R&D cooperation innovation path of private enterprises in state-owned enterprises under the background of mixed reform[J]. Industrial Engineering and Management, 2020, 25(5):59-67.
[12]何建佳,刘举胜,徐福缘. 基于知识溢出视角的供需网企业R&D合作策略演化[J].系统工程, 2017,35(10): 131-139.
HE J J, LIU J S, XU F Y. Strategy evolution of R&D cooperation in enterprises of supply and demand network based on the perspective of knowledge spillover[J]. Systems Engineering, 2017,35(10): 131-139.
[13]YANG Z, SHI Y, LI Y. Analysis of intellectual property cooperation behavior and its simulation under two types of scenarios using evolutionary game theory[J]. Computers & Industrial Engineering, 2018, 125: 739-750.
[14]LI K, ZHANG Y, GUO J, et al. System dynamics model for high‐speed railway operation safety supervision system based on evolutionary game theory[J]. Concurrency and Computation: Practice and Experience, 2019, 31(10): e4743.
[1] 范春梅, 李小瀹. 基于传播动力学的建筑绿色转型激励机制探究[J]. 复杂系统与复杂性科学, 2026, 23(1): 104-113.
[2] 陈静, 李思雨, 张晓, 王国义. 基于三方博弈的共享物流市场主体信用演化研究[J]. 复杂系统与复杂性科学, 2025, 22(4): 78-88.
[3] 陈静怡, 黄美娇, 吕庆华. 数字化情境下智慧养老服务生态系统的演化博弈分析[J]. 复杂系统与复杂性科学, 2025, 22(3): 56-64.
[4] 陈伟杰, 张涛, 汤玉秀. 公众参与下“征信修复”乱象治理的随机演化博弈[J]. 复杂系统与复杂性科学, 2025, 22(3): 129-137.
[5] 张廷海, 张乐, 杨振. 基于三方演化博弈的产业扶贫策略研究[J]. 复杂系统与复杂性科学, 2025, 22(3): 146-152.
[6] 肖人彬, 邬博文, 赵嘉, 陈峙臻. 群体智能视角下的高等生物仿生计算:问题分析与综合评述[J]. 复杂系统与复杂性科学, 2025, 22(1): 1-10.
[7] 陈伟杰, 汤玉秀, 张涛. 环境信用监管下相关主体策略行为的随机演化分析[J]. 复杂系统与复杂性科学, 2025, 22(1): 113-122.
[8] 许海娟, 叶春明, 李芳. 碳减排成本分担下的供应链运营决策分析[J]. 复杂系统与复杂性科学, 2024, 21(4): 81-90.
[9] 彭伟华, 侯仁勇. 网络平台就业治理的三方演化博弈研究[J]. 复杂系统与复杂性科学, 2024, 21(4): 99-106.
[10] 刘举胜, 李超然, 朱洁训, 邱志萍, 王梓懿. 公共体育场馆协同治理研究:基于演化博弈分析框架[J]. 复杂系统与复杂性科学, 2024, 21(3): 108-119.
[11] 韩普, 叶东宇, 顾亮. 奖惩机制下社区垃圾分类行为演化博弈研究[J]. 复杂系统与复杂性科学, 2024, 21(3): 120-127.
[12] 戴守晨, 曲大义, 孟奕名, 杨玉凤, 王其坤. 交通流频变路段智能网联车辆换道演化博弈机制[J]. 复杂系统与复杂性科学, 2024, 21(3): 128-135.
[13] 孙威威, 张峥. 基于复杂网络的电动汽车创新扩散博弈研究[J]. 复杂系统与复杂性科学, 2024, 21(2): 45-51.
[14] 杨国忠, 周午阳. 基于供应链视角的企业协同生态创新演化博弈[J]. 复杂系统与复杂性科学, 2024, 21(2): 120-128.
[15] 谢振雨, 万安霞. 药品安全治理演化博弈及策略研究[J]. 复杂系统与复杂性科学, 2024, 21(2): 129-136.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed