Heterogeneous Convergence of Regional House Prices and the Complexity in China

R. Lin, Z. Xin, Xiuting Li, Jichang Dong
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引用次数: 7

Abstract

The purpose of this research is to analyze the convergence of regional house prices and its complexity in China. In this purpose it used nonlinear time varying factor model. The obtained results have provided evidences for the existence of some degree of segmentation in China’s housing market. By further dynamic analysis of the convergence, we have found that important housing policies from Chinese central government can significantly alter the housing market but with a time lag of 4 to 5 months, and that quite different behaviors exist between the new house market and the second-hand house market in China, which provides the evidence for the complexity of housing market in China. Multiple factors together are the driving forces for the regional house price convergence. And the driving forces differ among three clubs. The basic conclusion provided from the realized research is that the conventional definitions of economic regions may not be appropriate to analyze house price segregation in China. Heterogeneous convergence exists in China’s regional house prices, indicating the complexity of regional house prices in China. And housing policies should be implemented with different focus among the regions. The way of the central government is to make housing policies aiming at different sub-markets of the new house market and the second-hand house market.
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中国区域房价异质性收敛与复杂性
本研究的目的是分析中国区域房价的收敛性及其复杂性。为此,采用了非线性时变因子模型。所得结果为中国住房市场存在一定程度的分割提供了证据。通过进一步的趋同动态分析,我们发现中国中央政府的重要住房政策能够显著改变住房市场,但存在4 ~ 5个月的时滞,中国新房市场和二手房市场的行为存在较大差异,这为中国住房市场的复杂性提供了证据。多种因素共同作用是区域房价趋同的驱动力。三家俱乐部的驱动力各不相同。从已实现的研究中得出的基本结论是,传统的经济区域定义可能不适合分析中国的房价分离。中国区域房价存在异质性收敛,表明中国区域房价的复杂性。住房政策的实施应根据地区的不同重点加以区分。中央政府的方式是针对新房市场和二手房市场的不同子市场制定住房政策。
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