论文

中国房价存在涟漪效应吗?

摘要

本文基于概率论框架,使用一种非参数的定向预测技术,构建PT检验统计量,通过使用70个城市2005年7月~2017年12月的月度数据,从时间和空间两个维度全面考察我国重点城市房价变动的涟漪效应。研究发现,中国70个城市之间的房价变动存在显著的涟漪效应。不管是使用70个城市作为研究对象,还是使用分区域城市作为研究对象,城市间距离与涟漪效应的大小有负相关关系,即城市间距离越近,涟漪效应越显著;涟漪效应在周期内不同阶段存在不同表现,与房价下行时期相比,城市之间房价变动的涟漪效应在房价上行时期更为显著。

作者

张浩 (1983- ),男,广东省珠江青年学者,广东外语外贸大学金融学院副教授,广东华南财富管理中心研究基地研究员,硕士研究生导师,主要研究方向为房地产金融。
韩铭辉 (1994- ),男,广东外语外贸大学金融学院硕士研究生,主要研究方向为房地产金融。

参考文献 查看全部 ↓
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  • Milcheva,S.,B.Zhu. 2015. Bank Integration and Co-movements across Housing Markets[J]. Journal of Banking & Finance,72:S148-S171.
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  • Pesaran,M.H.,A.Timmermann. 1992. A Simple Nonparametric Test of Predictive Performance[J]. Journal of Business & Economic Statistics,10 (4):461-465.
  • Zhang,D.,G.Z.Fan. 2019. Regional Spillover and Rising Connectedness in China’s Urban Housing Prices[J]. Regional Studies,53 (6):861-873.
  • 邓柏峻,李仲飞,张浩.2014.限购政策对房价的调控有效吗[J].统计研究,31 (11):50-57.
  • 邓慧慧,虞义华,龚铭.2013.空间溢出视角下的财政分权、公共服务与住宅价格[J].财经研究,(4):48-56.
  • 黄飞雪.2011.中国东中西部城市房价波动的涟漪效应——以中国东中西部代表的九城市为例[J].运筹与管理,20 (5):206-215.
  • 刘金全,孙玉祥,毕振豫.2019.信贷扩张、房价波动与经济增长的时变关联机制研究[J].数量经济研究,(2):124-136.
  • 王鹤.2012.基于空间计量的房地产价格影响因素分析[J].经济评论,(1):48-56.
  • 吴文斌.2012.中国区域房价β收敛的空间计量分析[J].统计与决策,(1):130-132.
  • 余华义,黄燕芬.2015.利率效果区域异质性、收入跨区影响与房价溢出效应[J].经济理论与经济管理,(8):65-80.
  • 张凌.2008.城市住房价格波动差异及连锁反应研究[M].经济科学出版社.
  • Alexander,C.,M.Barrow. 1994. Seasonality and Cointegration of Regional House Prices in the UK[J]. Urban Studies,31 (10):1667-1689.
  • Balcilar,M.,A.Beyene,R.Gupta,M.Seleteng. 2013. Ripple Effects in South African House Prices[J]. Urban Studies,50 (5):876-894.
  • Birchenhall,C.,D.Osborn,M.Sensier. 2010. Predicting UK Business Cycle Regimes[J]. Scottish Journal of Political Economy,48 (2):179-195.
  • Blake,J.P.,B.Gharleghi. 2018. The Ripple Effect at an Inter-suburban Level in the Sydney Metropolitan Area[J]. International Journal of Housing Markets and Analysis,11 (1):2-33.
  • Cook,S. 2003. The Convergence of Regional House Prices in the UK[J]. Urban Studies,40 (11):2285-2294.
  • Cook,S. 2005a. Detecting Long-run Relationships in Regional House Prices in the UK[J]. International Review of Applied Economics,19 (1):107-118.
  • Cook,S. 2005b. Regional House Price Behaviour in the UK:Application of a Joint Testing Procedure[J]. Phy-sica A:Statistical Mechanics and Its Applications,345 (3-4):611-621.
  • Cook,S. 2012. Beta-convergence and the Cyclical Dynamics of UK Regional House Prices[J]. Urban Studies,49 (49):203-218.
  • Cook,S.,C.Thomas. 2003. An Alternative Approach to Examining the Ripple Effect in UK House Prices[J]. Applied Economics Letters,10 (13):849-851.
  • Cook,S.,D.Watson. 2016. A New Perspective on the Ripple Effect in the UK Housing Market:Comovement,Cyclical Subsamples and Alternative Indices[J]. Urban Studies,53 (14):3048-3062.
  • Elliott,G.,T.J.Rothenberg,J.H.Stock. 1996. Efficient Tests for an Autoregressive Unit Root[J]. Econometrica,64 (4):813-837.
  • Giussani,B.,G.Hadjimatheou. 1991. Modeling Regional House Prices in the United Kingdom[J]. Papers in Regional Science,70 (2):201-219.
  • Giussani,B.,G.Hadjimatheou. 1992. House Prices:An Econometric Model for the UK[J]. Netherlands Journal of Housing & the Built Environment,7 (1):31-58.
  • Granger,C. 1969. Investigating Causal Relations by Econometric Models and Cross-spectral Methods[J]. Econometrica,37 (3):424-438.
  • Gray,D. 2012. District House Price Movements in England and Wales 1997-2007:An Exploratory Spatial Data Analysis Approach[J]. Urban Studies,49 (7):1411-1434.
  • Hausman,J.A. 1978. Specification Tests in Econometrics[J]. Econometrica,46 (6):1251-1271.
  • Holly,S.,N.Jones. 2004. House Prices since the 1940s:Cointegration,Demography and Asymmetries[J]. Economic Modelling,14 (4):549-565.
  • Holmans,A.E. 1990. House Prices:Changes through Time at National and Sub-national Level[R]. Government Economic Service Working Paper.
  • Hudson,C.,J.Hudson,B.Morley. 2018. Differing House Price Linkages across UK Regions:A Multi-dimensional Recursive Ripple Model[J]. Urban Studies,55 (8):1636-1654.
  • Kwiatkowski,D.,P.C.B.Phillips,P.Schmidt,Y.Shin. 1992. Testing the Null Hypothesis of Stationarity against the Alternative of a Unit Root:How Sure Are We that Economic Time Series Have a Unit Root?[J]. Journal of Econometrics,54 (1-3):159-178.
  • Lean,H.,R.Smyth. 2013. Regional House Prices and the Ripple Effect in Malaysia[J]. Urban Studies,50 (5):895-922.
  • Lee,C.,M.Chien. 2011. Empirical Modeling of Regional House Prices and the Ripple Effect[J]. Urban Studies,48 (10):2029-2047.
  • MacDonald,R.,M.P.Taylor. 1993. Regional House Prices in Britain:Long-run Relationships and Short-run Dynamics[J]. Scottish Journal of Political Economy,40 (1):43-55.
  • Meen,G. 1996. Spatial Aggregation,Spatial Dependence and Predictability in the UK Housing Market[J]. Housing Studies,11 (3):345-372.
  • Milcheva,S.,B.Zhu. 2015. Bank Integration and Co-movements across Housing Markets[J]. Journal of Banking & Finance,72:S148-S171.
  • Payne,J. 2012. The Long-run Relationship among Regional Housing Prices:An Empirical Analysis of the U.S.[J]. Journal of Regional Analysis and Policy,42 (1):28-35.
  • Pesaran,M.H.,A.Timmermann. 1992. A Simple Nonparametric Test of Predictive Performance[J]. Journal of Business & Economic Statistics,10 (4):461-465.
  • Zhang,D.,G.Z.Fan. 2019. Regional Spillover and Rising Connectedness in China’s Urban Housing Prices[J]. Regional Studies,53 (6):861-873.

中国房价存在涟漪效应吗?

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论文目录

  • 引言
  • 1 文献综述
  • 2 数据来源与周期判定
    1. 2.1 数据来源
    2. 2.2 基本数据分析
    3. 2.3 周期的判定
  • 3 模型的构建
  • 4 实证分析
    1. 4.1 基本检验
    2. 4.2 实证结果分析
    3. 4.3 进一步实证检验:基于地域的分析
      1. 4.3.1 华东地区的分析
      2. 4.3.2 华南地区的分析
      3. 4.3.3 华中地区的分析
      4. 4.3.4 华北地区的分析
      5. 4.3.5 西南地区的分析
      6. 4.3.6 西北地区的分析
      7. 4.3.7 东北地区的分析
    4. 4.4 进一步检验:涟漪效应与城市距离的关系
  • 结论

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