Housing market system and policy experiment: an empirical case in Shenzhen
by Qingsheng Meng; Yikun Huang
International Journal of Business and Systems Research (IJBSR), Vol. 8, No. 4, 2014

Abstract: This paper attempts to apply system dynamic technique to solve the problems of market forecasting and policy experiments. By constructing a dynamic system to depict the housing market mechanism, our study provides a tool to investigate how different housing policies will influence the market simultaneously. In addition, with an empirical case of Shenzhen, a major city of southern China, we illustrate how our system performs in real world. The error between predicted housing prices and real housing prices can be reduced to merely 8.72%; and we also show how the Shenzhen Government analyse housing policy before execution.

Online publication date: Tue, 30-Sep-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business and Systems Research (IJBSR):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com