新常态下PPP环保项目风险预警云模型研究
发布时间：2019-03-06 17:34
【摘要】：文章基于模糊-粗糙集理论和云模型理论构建了PPP环保项目风险预警模型,对PPP环保项目面临的风险因素及评价方法进行归类整理,报告了目前PPP项目风险识别与评价存在的不足之处,通过采用文献分析、理论研究、访谈和实地调研相结合的方法,展开对我国PPP环保项目风险因素的调查研究,提出了包含10个一级风险指标、30个二级风险指标的风险预警指标体系,并以武汉新洲区项目为例分析验证了模型的实践性。模型结果表明:新洲区项目总体处于中等风险等级,其中,融资可获性、政策法规保障、政府监管体制不健全等方面的风险水平较高,需重点关注并制定相应的防控应对机制。据此提出了相应的政策建议:开拓多元化融资渠道;完善政府监管体制;建立合理的风险分担机制;明确合作人之间的权利与义务;提高合作信用等,以期实现我国PPP环保项目的成功运营。
[Abstract]:Based on fuzzy-rough set theory and cloud model theory, this paper constructs a PPP environmental protection project risk early warning model, classifies the risk factors and evaluation methods faced by PPP environmental protection projects, and classifies the risk factors and evaluation methods of PPP environmental protection projects. This paper reports the shortcomings of PPP project risk identification and evaluation at present. By using the methods of literature analysis, theoretical research, interview and field investigation, the risk factors of PPP environmental protection projects in China are investigated and studied. A risk early warning index system consisting of 10 first-level risk indicators and 30 second-level risk indicators is put forward, and the practicality of the model is verified by taking the Wuhan Xinzhou District project as an example. The results of the model show that the project in Xinzhou district is in the middle risk level, in which, the financing availability, the guarantee of policies and regulations, the imperfect government supervision system and other aspects of the risk level are relatively high, so it is necessary to pay more attention to and formulate the corresponding prevention and control response mechanism. Accordingly, the corresponding policy suggestions are put forward: opening up diversified financing channels; perfecting the government supervision system; establishing a reasonable risk-sharing mechanism; clarifying the rights and obligations of partners; In order to realize the successful operation of PPP environmental protection project in our country, we can improve the cooperation credit and so on.
【作者单位】： 许昌学院土木工程学院;武汉大学土木建筑工程学院;
【基金】：2016年度河南省科技厅科技攻关项目(162102310125) 河南省大学生创新创业训练计划项目(201710480008)
【分类号】：F283;X32
本文编号：2435749
[Abstract]:Based on fuzzy-rough set theory and cloud model theory, this paper constructs a PPP environmental protection project risk early warning model, classifies the risk factors and evaluation methods faced by PPP environmental protection projects, and classifies the risk factors and evaluation methods of PPP environmental protection projects. This paper reports the shortcomings of PPP project risk identification and evaluation at present. By using the methods of literature analysis, theoretical research, interview and field investigation, the risk factors of PPP environmental protection projects in China are investigated and studied. A risk early warning index system consisting of 10 first-level risk indicators and 30 second-level risk indicators is put forward, and the practicality of the model is verified by taking the Wuhan Xinzhou District project as an example. The results of the model show that the project in Xinzhou district is in the middle risk level, in which, the financing availability, the guarantee of policies and regulations, the imperfect government supervision system and other aspects of the risk level are relatively high, so it is necessary to pay more attention to and formulate the corresponding prevention and control response mechanism. Accordingly, the corresponding policy suggestions are put forward: opening up diversified financing channels; perfecting the government supervision system; establishing a reasonable risk-sharing mechanism; clarifying the rights and obligations of partners; In order to realize the successful operation of PPP environmental protection project in our country, we can improve the cooperation credit and so on.
【作者单位】： 许昌学院土木工程学院;武汉大学土木建筑工程学院;
【基金】：2016年度河南省科技厅科技攻关项目(162102310125) 河南省大学生创新创业训练计划项目(201710480008)
【分类号】：F283;X32
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