Font Size: a A A

PPP Mode Sewage Treatment Project Based On Risk Sharing Income Distribution Study

Posted on:2019-12-08Degree:MasterType:Thesis
Country:ChinaCandidate:W ZheFull Text:PDF
GTID:2371330566492012Subject:Architecture and civil engineering
Abstract/Summary:PDF Full Text Request
At present,with the sharpening contradictions in the social environment and economic development,the government's financial burden has become increasingly severe,resulting in sewage treatment capacity lagging far behind the development needs of the city.In such a large environment,the PPP model(Public-Private Partnership,public-private partnership)has joined the ranks of the sewage treatment industry.The division of labor between the government and the private sector increased the efficiency of public goods supply,ensured the quality of public goods,and improved the status of project participants.In order to further protect the relevant interests of social capital in the PPP model when the country advances the PPP model project,this study is how to more reasonably bear the risks of social capital in the PPP model,and how to obtain corresponding benefits after taking risks.Provide theoretical framework support.Therefore,research on the distribution of social capital's income has very important practical value.Based on the game theory,this paper puts forward the model of income distribution under the risk factors of social capital.The use of literature review,questionnaire survey and analytic hierarchy process(AHP)were used to sort out the risk factors that social capital alone assumed,and the relationship between social capital's single assuming risk factors and the income distribution model.This paper takes the social capital's own risk under the risk as its research object.Through combing the literature and data calculation,it finally determines the financing risk,completion risk,and income shortfall as the three major influencing factors for establishing the income distribution model.It is solved through the Lagrange function.The equations calculate the relative optimal returns of social capital and government.The research of this paper mainly focuses on the risk sharing and income distribution of the sewage treatment plant under the PPP model.First introduced the characteristics of the existing projects in the wastewater treatment industry,and pointed out the different construction requirements for the reconstruction and expansion projects and new construction projects in light of the PPP model selection in the application of sewage treatment.After the selection,the TOT and ROT were proposed for the reconstruction and expansion projects.There are three types of hosting operations.Then through combing and concluding and summarizing the lots of papers,the risk identification of the social capital party alone is carried out to identify 40 risk factors.Questionnaires and AHP were used to identify the risk factors and the weighting of risk factors was determined.The maximum weight index was selected and the financing risk of 0.3224 was finally determined as the maximum risk indicator.Using yaahp software to do further sensitivity analysis on financing risks,making the maximum risk index weight change from 0 to 1 observed other changes in factors,so as to overall grasp the reasons for the changes in the weight of other alternatives.Finally,taking social capital and government as two negotiators,the risk of social capital's single assumption is the main influencing factor of income distribution.At the same time,the fuzzy comprehensive evaluation method is introduced to estimate the uncertainty of data,and a profit distribution model is constructed to obtain Nash.Balanced solution,that is,the optimal solution to the social capital and the government's income.In the long run,the research results of this article guarantee the basic interests of social capital in the application of the PPP model and provide a theoretical basis for the future distribution of social capital benefits.
Keywords/Search Tags:PPP model, wastewater treatment, maximum risk index, distribution of benefit
PDF Full Text Request
Related items