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房价如何影响中国消费?基于连续小波分析的新证据。

How do housing prices affect consumption in China? New evidence from a continuous wavelet analysis.

机构信息

School of Economics, Qingdao University, Qingdao, China.

Science and Information College, Qingdao Agriculture University, Qingdao, China.

出版信息

PLoS One. 2018 Sep 10;13(9):e0203140. doi: 10.1371/journal.pone.0203140. eCollection 2018.

Abstract

In this paper, we revisit the relationship between housing prices and consumption in China by using a continuous wavelet analysis. This method provides an insight into the dynamic nexus in both time and frequency domains. In general, Empirical results show that there is a positive relationship between the two series in China, although it varies across time and frequencies. First, we find that disposable income is the core factor which affects both consumption and housing prices in China. Second, housing prices have a weak wealth effect on consumption in most time. High housing ownership and proportion of housing asset in the total household asset lead to a wealth effect of housing prices on consumption. Third, in the long term, there is a significant wealth effect of housing prices on consumption, but it weakens after 2008, which implies that excessively high housing prices in recent years have partially constrained residents' consumption. These findings have important implications for seeking housing market regulation and expanding domestic consumption decisions.

摘要

本文运用连续小波分析重新考察了中国房价与消费之间的关系。这种方法提供了一个洞察两者在时间和频率域中的动态关系的视角。总体而言,实证结果表明,中国这两个序列之间存在正相关关系,尽管在时间和频率上有所不同。首先,我们发现可支配收入是影响中国消费和房价的核心因素。其次,在大多数情况下,房价对消费的财富效应较弱。高住房拥有率和住房资产在家庭总资产中的比例导致房价对消费的财富效应。第三,从长期来看,房价对消费有显著的财富效应,但 2008 年后有所减弱,这意味着近年来过高的房价在一定程度上限制了居民的消费。这些发现对寻求住房市场监管和扩大国内消费决策具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7e6/6130876/1447ec10679e/pone.0203140.g001.jpg

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