当代财经 ›› 2019, Vol. 0 ›› Issue (04): 1794-.

• • 上一篇    

城市房价泡沫与金融稳定性——基于中国35个大中城市PVAR模型的实证研究

沈悦,李博阳,张嘉望   

  1. (西安交通大学 经济与金融学院,陕西 西安 710061)
  • 收稿日期:2018-11-21 发布日期:2021-01-21
  • 作者简介:沈 悦,西安交通大学教授,博士生导师,经济学博士,主要从事金融市场与金融风险管理研究;李博阳,西安交通大学博士研究生,主要从事房地产金融与金融风险管理研究,通讯作者联系方式liyangyang2091@163.com;张嘉望,西安交通大学博士研究生,主要从事公司治理与金融风险管理研究。

Urban Housing Price Bubble and Financial Stability: An Empirical Study Based on the PVAR Model of 35 Large and Medium-Sized Chinese Cities

SHEN Yue, LI Bo-yang, ZHANG Jia-wang   

  1. (1. Northeastern University, Shenyang 110004; 2. Shenyang Ligong University, Shenyang 110159, China)
  • Received:2018-11-21 Published:2021-01-21

摘要: 不断膨胀的房价泡沫已成为隐藏在中国经济中最大的“灰犀牛”。基于房地产预期均衡价格模型对中国城市房价泡沫进行的科学测度,以及在理论分析的基础上,以2000—2017年35个大中城市的面板数据为样本,利用PVAR模型对中国城市房价泡沫与金融稳定性的动态关系进行的实证分析,结果表明:房价泡沫对金融稳定性的影响支持价值偏离假说,东部及金融支持水平高的城市,其房价泡沫的破坏作用更大;并且,相对于泡沫膨胀,房价泡沫缩小对金融稳定性的冲击效应更强。基于此,房地产调控应坚持“因城施策”的差别化调控措施,精准微调地挤出泡沫,谨防调控政策实施中的“双向失调”风险,加快建立多主体供应、多渠道保障、租购并举的长效住房制度。

关键词: 房价泡沫,金融稳定,PVAR模型

Abstract: The ever expanding housing price bubble has become the largest“grey rhino”hidden in Chinese economy. Based on the expected equilibrium price model of real estate, this paper makes a scientific measurement of China’s urban housing price bubble. On the basis of theoretical analysis, it takes the panel data of 35 large and medium-sized cities during the period of 2000-2017 as the samples to conduct an empirical analysis of the dynamic relationship between China’s urban housing price bubble and financial stability with the PVAR model. The findings shows that the impact of housing price bubble on financial stability can support the price deviation hypothesis, in the eastern cities and the cities with stronger financial support, the housing price bubble has a greater destructive effect; moreover, compared with bubble expansion, the reduced housing price bubble has a stronger impact on financial stability. In this regard, the real estate regulation and control should adhere to the differentiated regulation measures according to the real conditions of the cities, squeeze out the bubbles in a fine adjustment way, guard against the risk of“two way imbalance”in the implementation of regulation policies, speed up the establishment of a long-acting housing system with multi-subject supply, multi-channel protection, and the double way of rent and purchase.

Key words: housing price bubble; financial stability; PVAR model