中国的房价波动:具有地域差异的普遍模式

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-03-21 DOI:10.3846/ijspm.2024.21096
Xiaomeng Liu, Ziliang Yu, Yang Li
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引用次数: 0

摘要

蓬勃发展的房地产业被视为过去十年中国出现的 "灰犀牛 "风险。然而,房价波动本身却没有得到深入研究。本文利用 2005 年至 2019 年的大量月度数据,探讨了中国 70 个大中城市的房价波动及其决定因素,填补了这一文献空白。我们发现,在 GARCH 效应和最佳拟合波动率规范方面都存在明显的地域差异。在 57 个城市中发现了显著的 GARCH 效应,其中 40% 的城市呈现持续波动模式。我们还发现,房价波动模式和相关波动值都受到教育和医疗设施的显著影响。
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HOUSE PRICE VOLATILITY IN CHINA: A PERVASIVE PATTERN WITH GEOGRAPHIC DISPARITY
The booming real estate sector has been regarded as the “gray rhino” risk emerging in China over the past decade. Yet, the house price volatility per se has not been thoroughly examined. Filling the gap in the literature, this paper explores the house price volatility and its determinants for 70 large and medium-sized cities in China, using an extensive monthly data set from 2005 to 2019. We find evidence of significant geographical disparities in both the GARCH effects and the best-fitted volatility specification. Significant GARCH effects are found in 57 cities, among which 40% of cities show a persistent volatility pattern. We also find that both the house price volatility pattern and the associated volatility value are affected significantly by education and healthcare amenities.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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