Study on the System Dynamics Model and Simulation Data Analysis of the Commodity Residence Price in Shenzhen

Taking Shenzhen City as an example, this paper built the commercial residence price system dynamics models, confirmed the changing trends of the main factors such as the commodity residence price, the per capita disposable income, the housing development investments and GDP by the simulation, analyzed the influence degree and time sequence of the main factors influencing commodity residence price in a long term and in a short term. So that the macro-economic control means for controlling commercial residence prices can be determined by the government at different periods. And it will also provide the corresponding determining basis for consumers and real estate developers when buy and invest. The results show that, in a long term only, the growth rate of the commodity residence price is generally lower than that of the per capita disposable income, the housing development investments and GDP growth rate; the annual average growth rate of the commodity residence price is the closest to that of the per capita disposable income.