Study On Project Evaluation In Attracting Investment

With the rapid growth of economic and technological development zones, attracting foreign investment was contributing more and more to the development process of development zone. In order to guarantee the success of the investment work for the development zone, and reduce the failure which causes waste and pollution, countries in the whole world carry out project evaluation, and raise the threshold which forbids the unqualified project to get in. In order to solve the problem which arises in the process of investment project evaluation and reduce the risk of decision making, building a scientific model to evaluate the project has important theoretical and practical significance.Our research aims at establishing a model for the project evaluation, we solved the following problems, the project evaluation index system, establish models for the investment project evaluation. The research results of this thesis are as follows:Firstly, we establish the investment project evaluation index system. Based on the investigation and literature of project evaluation, we design the inquiry questionnaire first, and then, the experts answer the questions, evaluate the data with structure equation model, and finally identify the important indexes for project evaluation, An index system was established. The result shows:The first category is economic benefit, social benefit, ecological benefit and enterprise rating. The second category is investment amount and employment effects and so on.Secondly, a detailed analysis was given which explains the role of the index plays in the process of evaluation. Through the investigation, we get the calculation method of the index, and give the weight to indicate the importance of the index in evaluating a project. All this makes the process of investment evaluation more calculable, and more thinkable.Finally, the model for investment projects was constructed in the research step by step. There are three models. The first one is based on group decision making. Group decision making is a decision model which can maximize personal opinions, and reduce the individual's subjective factors, the group decision making makes the decision process more intelligent and less risky. Then, we find that, the group decision based on evidence theory focuses on the accumulation of evidence, and ignores the flaw of the minority of indexes, the decision maker may be mislead by this evaluation result. In order to overcome the problem, we put out the second model. The second model is based on cloud theory, cloud theory is dealing well with the qualitative and quantitative data, and is a conversion method between the two. This model has the advantage that it concerned the defect index the most, the evaluation result will be affected by the flaw. As there are different, so we use VIKOR method to verify the discordance, the result shows that both models are following the classification of alternative project. So as to combine the advantage of the two models, we build our third model, it bases on evidence theory and cloud theory, and the indexes are divided into key index and un-key index. Evidence theory is used for un-key index, and cloud theory is used for key index. The composite model can make a much more reasonable result, and help the decision maker to get the right decision. From different views, we build the three models, which can improve the quality of investment. Through evaluating the projects, we can select the most outstanding projects. It makes basis for the successful promotion and reduce the risk of investment.