Abstract
The development of real estate industry is significant to the national economy and the people’s livelihood, and the regulation of real estate is an important content of macroeconomic regulation and is controversial invariably. The key of real estate regulation is the regulation of house price, i.e. to control the rising extent of house price within a normal range. The article calculates the target range of house price regulation in 3σ Method. According to the conclusions, should control the house price rising rate/GDP growth rate of first-tier cities within [-0.31, 0.86], and that in second-tier cities within [-0.42, 1.17].The conclusions can provide a theoretical support for the stipulation of real estate regulation policies and the evaluation of the effects of real estate regulation policies.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Huang, Z.: Several Theoretical Problems on Bubble Economy and Its Measurement, Financial Research (June 2002)
Duan Y., Tian P., Zhang X.: Relative efficiency control fuzzy system. In: Proceeding of the 46’th ISSS Annual Conference, Shanghai, China (2002)
Yan, H., Bin, Z.: Research on influence of macro-regulation on real estate industry in China. Price Theory and Practice (12), 45–46 (2006) (in Chinses)
Yin, H., Tan, S.: Policy orientation of macroeconomic regulation on Chinese Real estate market. Statistics and Decision (10), 100–102 (2006) (in Chinses)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hongli, Z. (2011). The Relationship of House Price Rising Rate and GDP Growth Rate. In: Tan, H., Zhou, M. (eds) Advances in Information Technology and Education. Communications in Computer and Information Science, vol 201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22418-8_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-22418-8_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22417-1
Online ISBN: 978-3-642-22418-8
eBook Packages: Computer ScienceComputer Science (R0)