Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.