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Club convergence of house prices: Evidence from China's ten key cities.

Authors :
Meng, Hao
Xie, Wen-Jie
Zhou, Wei-Xing
Source :
International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics. 9/30/2015, Vol. 29 Issue 24, p-1. 17p. 4 Charts, 6 Graphs.
Publication Year :
2015

Abstract

The latest global financial tsunami and its follow-up global economic recession has uncovered the crucial impact of housing markets on financial and economic systems. The Chinese stock market experienced a marked fall during the global financial tsunami and China's economy has also slowed down by about 2%-3% when measured in GDP. Nevertheless, the housing markets in diverse Chinese cities seemed to continue the almost nonstop mania for more than 10 years. However, the structure and dynamics of the Chinese housing market are less studied. Here, we perform an extensive study of the Chinese housing market by analyzing 10 representative key cities based on both linear and nonlinear econophysical and econometric methods. We identify a common collective driving force which accounts for 96.5% of the house price growth, indicating very high systemic risk in the Chinese housing market. The 10 key cities can be categorized into clubs and the house prices of the cities in the same club exhibit an evident convergence. These findings from different methods are basically consistent with each other. The identified city clubs are also consistent with the conventional classification of city tiers. The house prices of the first-tier cities grow the fastest and those of the third- and fourth-tier cities rise the slowest, which illustrates the possible presence of a ripple effect in the diffusion of house prices among different cities. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02179792
Volume :
29
Issue :
24
Database :
Academic Search Index
Journal :
International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics
Publication Type :
Academic Journal
Accession number :
110025351
Full Text :
https://doi.org/10.1142/S0217979215501817