Housing price bubbles in Beijing and Shanghai? A multi-indicator analysis

被引:29
|
作者
Hou, Yongzhou [1 ]
机构
[1] Beijing Normal Univ, Royal Inst Technol, Beijing, Peoples R China
关键词
Housing; Prices; China; Financial analysis;
D O I
10.1108/17538271011027050
中图分类号
TU98 [区域规划、城乡规划];
学科分类号
0814 ; 082803 ; 0833 ;
摘要
Purpose - Beijing and Shanghai have been the leading housing markets in urban China. In the late half of the 2000s, both metropolises experienced a pronounced process of housing price appreciation. The purpose of this paper is to examine whether there exist housing price bubbles in the two largest cities in China. Design/methodology/approach - The study is based on a combination of different quantitative indicators: a comparison of housing market prices with the rational expectation price, mortgage loans, and the ratios of price to income and to rent. Moreover, the statistical tool of control chart is introduced to quantify housing bubbles. Findings - The study shows that Beijing appears to have been on the way of forming a housing price bubble between 2005 and 2008, and that there perhaps existed a housing bubble in Shanghai from 2003 to 2004. It appears that the housing market cycle in Beijing may be divided into three stages: the cycle peak stage (1991-1997), the cycle trough stage (1998-2003) and the second cycle peak stage (2004-2008). Originality/value - In an attempt to explain the possible existence of housing bubbles in Beijing and Shanghai, this paper uses an integrated strategy involved with such fundamentals as interest rates, rent, income and GDP. In particular, the control chart, based on per capita GDP, is introduced to identify a housing bubble.
引用
收藏
页码:17 / 37
页数:21
相关论文
共 50 条
  • [11] Analyzing Housing Price Volatility in Shanghai
    Huang Zhong-hua
    Wu Ci-fang
    Du Xue-jun
    2008 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING (15TH), VOLS I AND II, CONFERENCE PROCEEDINGS, 2008, : 1680 - 1686
  • [12] Wellbeing and sustainable development: a multi-indicator approach
    di Bella, Enrico
    Corsi, Matteo
    Leporatti, Lucia
    Cavalletti, Barbara
    FLORENCE 'SUSTAINABILITY OF WELL-BEING INTERNATIONAL FORUM', 2015: FOOD FOR SUSTAINABILITY AND NOT JUST FOOD, FLORENCESWIF2015, 2016, 8 : 784 - 791
  • [13] Multi-indicator comprehensive evaluation: reflection on methodology
    Qiu, Dong
    Liu, Tingyi
    DATA SCIENCE IN FINANCE AND ECONOMICS, 2021, 1 (04): : 298 - 312
  • [14] Multi-indicator Active Queue Management Method
    Abualhaj, Mosleh M.
    Hussein, Abdelrahman H.
    Kharma, Qasem M.
    Shambour, Qusai Y.
    COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2021, 38 (02): : 251 - 263
  • [15] Combining optimization of multi-indicator comprehensive evaluation
    Liu, YC
    Gao, LQ
    Zhang, JF
    PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS 1 AND 2, 2004, : 635 - 639
  • [16] Differential Analysis of Spatial Gradient between Housing Price and Rent in Beijing Housing Market
    Long, Zhenxing
    Long, Fenjie
    Sun, Cong
    PROCEEDINGS OF THE 16TH INTERNATIONAL SYMPOSIUM ON ADVANCEMENT OF CONSTRUCTION MANAGEMENT AND REAL ESTATE (CRIOCM2011), 2011, : 97 - 100
  • [17] Housing price bubbles in Greater Sydney: evidence from a submarket analysis
    Bangura, Mustapha
    Lee, Chyi Lin
    HOUSING STUDIES, 2022, 37 (01) : 143 - 178
  • [18] Multi-indicator sustainability assessment of global food systems
    Abhishek Chaudhary
    David Gustafson
    Alexander Mathys
    Nature Communications, 9
  • [19] Mapping the nanotechnology enterprise: a multi-indicator analysis of emerging nanodistricts in the US South
    Jan Youtie
    Philip Shapira
    The Journal of Technology Transfer, 2008, 33 : 209 - 223
  • [20] Dynamic Multi-Indicator Fusion Model for Real-Time Prediction Analysis
    Zhou, Tie Hua
    Zhao, Huai Lin
    Wang, Ling
    Ma, Fu Tao
    Kou, Lei
    PROCEEDINGS OF THE 2024 27 TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, CSCWD 2024, 2024, : 1443 - 1448