A Supervision Model Study of Non-Profit Government Investment Project under Information Asymmetry

2014 ◽  
Vol 1065-1069 ◽  
pp. 2439-2444
Author(s):  
Yun Na Wu ◽  
Zi Shan Hu ◽  
Jin Ying Zhang

The develop policy and management issues of Non-profit Government Investment Project, hereinafter referred to as NGIP, are important parts of Chinese investment management system reform. The study of information asymmetry generated during the management process of NGIP, is becoming more and more popular now. Based on the features of NGIP under information asymmetry, this article firstly analyzes the generation mechanism and the influences of asymmetric information. We then built up a game model towards the supervision process of NGIP. The key factors which influence the subjects most are quantified and compared in this paper. Supervision countermeasures are proposed towards information asymmetry problems, among which the information construction and improved supervision system are emphasized.

2013 ◽  
Vol 328 ◽  
pp. 343-347
Author(s):  
Hao Bo Zhang ◽  
Shuo Zhang ◽  
Ze Zhong Li

The agent construction system (ACS) in non-profit government investment project has developed very well. Because of the supervision content involved many government departments and need multisectoral coordinated supervision, the supervision becomes very complexity and disordered. And the dramatic changing supervision environment, supervision subject and supervision object make the supervision work became more uncertainty. Based on multi-age technology (MAT) this paper proposes to construct a new supervision organization mechanism, which could coordinate the relationship between government and agent, agent and construction side and government departments better. The new supervision organization mechanism also helps supervision parties for the effective communication and resource sharing.


2015 ◽  
Vol 730 ◽  
pp. 343-348
Author(s):  
Yun Na Wu ◽  
Yi Qi Hu ◽  
Kai Feng Chen

The non-profit government investment project (Non-profit Government Investment Project, hereinafter referred to as NGIP) own huge investment, large-scale, long cycle, involving a wide range of social benefits and it is related to the country's macroeconomic development, in its implementation period does not great certainty. Under Agent Construction System NGIP has its own risk, the paper will be based on Fuzzy Analytic Hierarchy Process (Fuzzy Analytic Hierarchy Process, FAHP) establish NGIP risk assessment model, through data processing the final use of the evaluation model for empirical analysis to achieve the agent system NGIP risk assessment.


2018 ◽  
Vol 193 ◽  
pp. 05002
Author(s):  
Irina Karakozova ◽  
Yulia Prochorova

The imperfection of structure and the maintenance of stages of a predesign stage of implementation of the investment project creates some problems which pass into the subsequent stages of the reproduction cycle of a capital construction project, forming additional expenses of time, money and human resources. The authors pay the main attention to the stage of justification of investments (mainly to the means of the federal budget) as to the key element of decision making on the project implementation and also to the technical-and-economical justification of the project, which determines the further design and construction of the facility of the real estate. It is offered to use the system of indicators for the assessment of efficiency of the made decisions on the basis of uncontrollable and controlled factors. The mathematical model of the factors, the order of definition of the extent of their influence is offered. Scenarios of the choice of the investment decision on the basis of the established principles in the conditions of uncertainty are described. The authors point out, that during introduction of the offered mechanism it is necessary to adopt the relevant amendments to the legislative and regulations of the Russian Federation, that in turn involves the emergence of a temporary log. However, the planned results of the work of the modernized system will affect positively on the reduction of duration of the predesign stage without any loss of its qualitative characteristics. Thus, that might become one of the key factors of sustainable development of modern cities.


2014 ◽  
Vol 584-586 ◽  
pp. 2322-2325
Author(s):  
Ying Zhang ◽  
Li Hui Xiong

In recent years, governments at all levels invested unprecedented development in China, a large number of municipal engineering, infrastructure and industrial projects have been launched, government investment has greatly promoted economic growth. In the construction of urbanization in China in the future, government investment should not be underestimated. However, due to various reasons, the government investment project management exist many problems, which is not conducive to the preservation and appreciation of state assets, and which restricts the efficiency of resource use improvement. The major problems in the management of government -investment projects and the cause of the problem are analyzed, and then the measures for improvement are presented.


2010 ◽  
Vol 108-111 ◽  
pp. 741-746 ◽  
Author(s):  
Rong Gui Ding ◽  
Xing Zhi Liu ◽  
Hua Sun

With the increase in the size of government investment projects, an increasing number of uncertain factors are involved and the risks are increasingly complex, the project risks can accurately describe and measure the project will directly affect the investment decision-making and project management. To this end, respectively, analyze two-dimensional method and multi-dimensional method and Put forward a three-dimensional description method, describing project risk thoroughly from the probability, losses as well as manageability. On this basis the risk function is established, and finally an example is given. The results showed that three-dimensional structure not only take into account both qualitative and quantitative, at the same time taking into account the subjectivity and objectivity of risk, a more accurate reflection of the true face of government investment project risk.


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