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
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.
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.
[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.