摘要
首先,通过文献分析与实地研究,整理并筛选基础设施PPP项目的风险因素集,使用问卷调查法分别收集政府部门、私人部门与专家学者三个主体对海底隧道风险因素重要程度的判断,并检验三个样本数据的总体性。然后识别出关键风险因素,通过因子结构分析以确定其权重。基于结构方程模型的分析结果识别出23个关键风险因素及其在各层次的权重,为海底隧道PPP项目风险管理提供决策参考及应对策略。
Firstly,this paper collects risk factors set through literature review and field research,and uses the questionnaire survey method to collect the judgment of government departments,private departments,experts and scholars on the importance of risk factors of bay tunnel,and tests the totality of the three-sample data.Then,identifies the key risk factors and determines their weights by factor structure analysis.Through confirmatory factor analysis,confirms the weights of 23 key risk factors at macro,middle and micro levels,in order to provide practical evidence to make strategies for bay tunnel PPP projects risks management.
作者
姜影
叶卓卉
杨澜
JIANG Ying;YE Zhuohui;YANG Lan(Dalian University of Technology,Dalian 116024,China;Remin University of China,Beijing 100872,China;Nankai University,Tianjin 300350,China)
出处
《建筑经济》
北大核心
2021年第5期62-66,共5页
Construction Economy
基金
国家自然科学基金青年科学基金项目(71603041)
辽宁省社会科学规划基金项目(L20BGL037)
中央高校基本科研业务费人文社科科研专题项目(DUT21RW106)。
关键词
PPP
风险识别
海底隧道
基础设施
Public-private partnership(PPP)
risk identification
bay tunnel
infrastructure
