基于SNA的特大型工程投资项目关键利益主体识别与博弈分析
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  • 英文篇名:Identification and game analysis of key stakeholders in oversized construction investment projects based on SNA
  • 作者:孙琳 ; 黄德春 ; 张长征
  • 英文作者:SUN Lin;HUANG Dechun;ZHANG Changzheng;Business School,Hohai University;Jiangsu Provincial Collaborative Innovation Center of World Water Valley and Water Ecological Civilization;Institute of Industrial Economics, Hohai University;
  • 关键词:工程投资项目 ; 社会网络分析 ; 关键主体 ; 博弈论
  • 英文关键词:construction investment project;;social network analysis;;key stakeholder;;game theory
  • 中文刊名:SLJJ
  • 英文刊名:Journal of Economics of Water Resources
  • 机构:河海大学商学院;江苏省"世界水谷"与水生态文明协同创新中心;河海大学产业经济研究所;
  • 出版日期:2019-05-30
  • 出版单位:水利经济
  • 年:2019
  • 期:v.37
  • 基金:国家自然科学基金面上项目(71573072);国家自然科学基金青年项目(71603070);; 教育部人文社会科学研究一般项目(16YJC630172)
  • 语种:中文;
  • 页:SLJJ201903015
  • 页数:8
  • CN:03
  • ISSN:32-1165/F
  • 分类号:82-88+92
摘要
特大型工程投资项目在建设过程中涉及众多利益主体,解决不同行为主体之间的利益冲突、关键利益主体的利益博弈问题对于项目的成功实施至关重要。首先构建特大型工程投资项目利益相关者矩阵,通过社会网络分析测算出项目的关键利益主体:施工方、项目法人、地方政府及移民;然后基于博弈理论,对关键利益主体利益冲突进行博弈分析,以找出影响博弈均衡的关键因素,并讨论复制动态演化点;提出了完善监督管理制度、加大投机行为处罚力度、建立合理的移民管理制度的对策。
        The oversized construction investment projects involve many stakeholders in the process of construction. It is very important for the projects to solve the conflicts of interests among different actors and the game of interests of the key stakeholders.Based on this problem,the matrix of the key stakeholders of the oversized construction investment projects is established,namely,the constructor,the project owner,the local government and the immigrants through the social network analysis. And then based on the evolutionary game theory,the conflicts of the key stakeholders are analyzed to find out the key factors that affect the equilibrium of the game by using the dynamic evolutionary game model as well as how to balance the interests between them. Finally, according to the analysis results, the countermeasures are put forward to improve the supervision and management system and to establish a reasonable immigration management system.
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