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Research On The Investment Benefit Optimization Model And Evaluation Method Of Urban Public Infrastructure

Posted on:2018-08-09Degree:DoctorType:Dissertation
Country:ChinaCandidate:H X HuangFull Text:PDF
GTID:1319330542977980Subject:Business Administration
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Urban public infrastructure is the support system and material carrier of urban economic operation,and improving its utilization has become the key to the sustainable development of the city.With the continuous development of urban construction,the pollution of water resources,the increase of water logging,the congestion of road traffic and the expansion of smog have become the major obstacles to the development of city.In order to invest urban public infrastructure,it is necessary to make a scientific and rational evaluation of urban public infrastructure and strengthen the rational investment layout research to reduce the duplication of construction,waste of funds and so on.The main contents of this dissertation are summarized as follows:Firstly,this dissertation introduces the relevant concepts and attributes of urban public infrastructure,and makes a review of the relevant literatures on domestic and foreign urban public infrastructure investment decision-making and benefit evaluation methods.Then,it briefly expounds the theory of investment decision-making and the theory of benefit evaluation method related to urban public infrastructures.The economic,social and environmental benefits indexes were selected,and the evaluation methods of urban public infrastructures under the multi-attribute group decision-making model,portfolio model and data envelopment analysis game cross-efficiency model which provides the method support for the empirical research of urban public infrastructure were given.Secondly,this dissertation takes six urban public infrastructure systems as the research object,obtains the evaluation weights of urban public infrastructure system according to the multi-attribute group decision model.The results show that the transport infrastructure which brought by the economic benefits are significantly higher than other urban public infrastructure system.When making investments,the transport infrastructure system should be considered more important than others.Thirdly,this dissertation studies the fuzzy portfolio model of urban public infrastructure.Add the triangular fuzzy numbers into portfolio model.And then constructe a fuzzy portfolio model which was solved by the particle swarm algorithm.The results show that the proportion of urban public infrastructure investment in Beijing has increased year by year,followed closely by Shanghai,Tianjin and Chongqing.Fourth,In order to strive for their own interests,there is a certain competition relationship between the largest cities.This dissertation draws on the idea of game theory,introduces game theory into DEA cross-efficiency model,and constructs an evaluation model of urban public infrastructure investment efficiency.This dissertation makes an empirical research on 30 provincial capitals of China.The results show that the cross-efficiency of the western region is higher than that of the eastern region and the central region.However,the allocation of urban public infrastructure investment funds mainly concentrated in the eastern region.Finally,as an import part of urban public infrastructure system,expressway contractors’ evaluation and selection are particularly important.Under the premise of the expectations of government decision-making,this dissertation proposes an evaluation method based on loss aversion theory.Therefore,a more comprehensive evaluation index system for expressway contractors is constructed.According to the calculation method of the value function in the prospect theory,the utility function value of each expressway contractor is obtained.The results show that the loss aversion psychology has an impact on decision-making,it verifies the feasibility of the loss aversion theory to solve the decision-making problem,and also provides a theoretical basis for the urban public infrastructure investment.
Keywords/Search Tags:Public infrastructure, Group multiple-attribute decision-making, Portfolio, Data envelopment analysis, Loss aversion, Game cross-efficiency, Comprehensive assessment
PDF Full Text Request
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