Wang Yehui, Liu Jianxu, Tang Yuxuan, Sriboonchitta Songsak
School of Economics, Shandong University of Finance and Economics, Jinan, China.
Faculty of Economics, Chiang Mai University, Chiang Mai, Thailand.
Soft comput. 2021;25(12):7853-7866. doi: 10.1007/s00500-021-05837-8. Epub 2021 Apr 30.
There have been many recent fears of severe house-price decreases in some provinces in China causing a nationwide collapse of the housing market. Therefore, this paper aims to clarify the linkage structure of China's housing market and its risk contagion routes. Given monthly data of provincial housing and stock-market capital returns from 2001M01 to 2019M12, on the basis of graph theory, this paper first explores the linkage structure of provincial housing markets. Relying on the linkage structure, this paper then simulates the effect of unexpected negative shocks from the stock market on the probabilities of a housing-market collapse based on the epidemic model. The results show that (i) consistently with practical evidence, the probability of housing-market collapse is relatively high in the southwest of China and (ii) reducing housing-market linkage, such as through a blocking mechanism, to prevent collapse is helpful.
近期,许多人担心中国一些省份房价大幅下跌会导致全国房地产市场崩溃。因此,本文旨在厘清中国房地产市场的联动结构及其风险传染路径。基于2001年1月至2019年12月省级住房和股票市场资本回报率的月度数据,本文首先基于图论探究省级住房市场的联动结构。在此联动结构基础上,本文进而基于传染病模型模拟股市意外负面冲击对房地产市场崩溃概率的影响。结果表明:(i)与实际证据一致,中国西南部房地产市场崩溃的概率相对较高;(ii)通过阻断机制等方式减少房地产市场联动以防止崩溃是有帮助的。