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DOI: 10.1371/journal.pone.0173287
论文题名:
A measurement model for real estate bubble size based on the panel data analysis: An empirical case study
作者: Fengyun Liu; Deqiang Liu; Reza Malekian; Zhixiong Li; Deqing Wang
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2017
发表日期: 2017-3-8
卷: 12, 期:3
语种: 英语
英文关键词: China ; Housing ; Japan ; Economics ; Labor economics ; Bubbles ; Economic growth ; Economic development
英文摘要: Employing the fundamental value of real estate determined by the economic fundamentals, a measurement model for real estate bubble size is established based on the panel data analysis. Using this model, real estate bubble sizes in various regions in Japan in the late 1980s and in recent China are examined. Two panel models for Japan provide results, which are consistent with the reality in the 1980s where a commercial land price bubble appeared in most area and was much larger than that of residential land. This provides evidence of the reliability of our model, overcoming the limit of existing literature with this method. The same models for housing prices in China at both the provincial and city levels show that contrary to the concern of serious housing price bubble in China, over-valuing in recent China is much smaller than that in 1980s Japan.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0173287&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/25805
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: China University of Mining & Technology, Xuzhou, Jiangsu Province, China;Department of Economics, Kyoto University, Kyoto City, Kyoto Prefecture, Japan;Department of Electrical, Electronic & Computer Engineering, University of Pretoria, Pretoria, Gauteng, South Africa;Department of Manufacturing and Mechanical Engineering, UNSW Australia, Sydney, NSW, Australia;China University of Mining & Technology, Xuzhou, Jiangsu Province, China

Recommended Citation:
Fengyun Liu,Deqiang Liu,Reza Malekian,et al. A measurement model for real estate bubble size based on the panel data analysis: An empirical case study[J]. PLOS ONE,2017-01-01,12(3)
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