基于系統(tǒng)動力學(xué)的房地產(chǎn)市場風(fēng)險預(yù)警系統(tǒng)研究
[Abstract]:Since the government abolished the welfare housing allocation system in 1998, the house began to enter the market as a kind of commodity in an all-round way. In particular, with the sustained and rapid development of the real estate market in China in recent years, in order to cope with the rising volume and price of the real estate market, the government and other relevant departments have successively introduced a series of measures aimed at controlling the excessive rise in house prices. The macro-control measures to curb the overheating of investment in the real estate market. However, the market response deviates from the government's target of regulation and control to a certain extent. The rising real estate market has aroused the alarm and concern of the relevant government departments that the rapid development of the real estate market will endanger the smooth operation of the national economy and social harmony and stability. Therefore, according to the internal operating mechanism and development law of the real estate market, how to formulate scientific, reasonable and feasible macro-control policies to guide the real estate market to return to rationality, To meet the basic housing needs of ordinary consumers has become one of the hot issues widely concerned. This paper mainly applies the analysis method of system dynamics to the research of real estate market risk early warning system. First of all, starting from the internal and external factors that constitute the real estate market, this paper analyzes in detail the internal operating mechanism and the development law of the real estate market, and probes into the influencing factors and the forming mechanism of the real estate commodity price. Then, the system simulation model of real estate market based on system dynamics is constructed. Then according to the collected data and the simulation results of system dynamics model, the risk early warning index is selected, and the index system of real estate market risk early warning is constructed. The risk index of real estate market is constructed by means of signal analysis, and the measure standard of critical value of risk and the countermeasures of different levels of warning are put forward. Finally, combining the results of model sensitivity test and the actual situation of real estate market in Jinan, the single policy test with single variable and the comprehensive policy simulation experiment with multiple variables are carried out, and the results of different policy tests are compared and analyzed. This paper puts forward the policy suggestions and concrete measures of real estate market regulation in Jinan. The main innovations of this paper are as follows: 1, defining the boundary of the real estate market system, defining the main participating elements of the system, putting forward by the supply and demand, the cost, The basic structure system of real estate market system, which is composed of four subsystems of regulation and control and society, is constructed and simulated based on the simulation model of real estate system based on system dynamics. It provides a powerful theoretical support for the systematic study of real estate market, and constructs the index system of real estate market risk early warning and the real estate market risk comprehensive index. The paper puts forward the measurement standard of the critical value of risk at all levels and the countermeasures of different levels of alarm. It provides a scientific standard and reference basis for the monitoring and control of real estate market risks, and points out the key variables that have a great impact on the real estate system and are suitable for national policy regulation. The univariate single policy test and multivariable comprehensive policy test are carried out, and the policy control measures of real estate market are put forward, which provide practical suggestions for real estate market regulation and control.
【學(xué)位授予單位】:濟南大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:N941.3;F299.23
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