Study On Decision-making System Of Chinese Government Investment Projects

Government investment (GI for short) is an important driving force to in China's economic development. The management level of government investment project has a direct impact to the sustained and stable economic development. In this context, to improve GI decision-making system is of great practical significance.This paper took GI decision-making system for the study object, firstly summed up the government's investment projects and major characteristics of the classification of government investment projects. Also it pointed out that the investment system reform is an inevitable requirement. Secondly the article also summarizes the theory of the domestic similar studies of various types and categories and all kinds of new practice of domestic local governments at all levels on GI. At the same time tried to summarize the situation of similar studies abroad, done a scientific evaluation to GI of Western developed countries' government. Combination of the above analysis, the author of had done empirical analysis of China's government investment projects and investment projects of local government, told out the existing problems of decision-making and find out the root of the problem, which would be basis of bellowing text. In particular, from the whole process of investment management and analysis of the current GI projects investment approval system and the entire process control, the author proposed to establish new investment decision-making system. Finally, the author combined various theories, from a macro level, meso-level and micro-level perspectives. The author set up on the corresponding elements to build structured decision-making model of government investment. After describing the elements and demonstrating the model's practicality value, the paper ultimately got the goal to improve the decision-making levels of management investment.The used the research methods in this article are mainly empirical analysis, comparison analysis, classification methods, as well as qualitative and quantitative methods.