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基于偏最小二乘回归分析的我国地区住房价格差异的实证研究

An Empirical Study on Housing Price Gap among Different Regions of China based on Partial Least Square Regression Analysis

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【作者】 李忠富姜永生

【Author】 LI Zhong-fu~1,JIANG Yong-sheng~(1,2)(1.School of Management,Harbin Institute of Technology,Harbin 150001,China;2.College of Engineering and Technology,Northeast Forestry University,Harbin 150040,China)

【机构】 哈尔滨工业大学管理学院东北林业大学工程技术学院

【摘要】 运用加权变异系数衡量了我国地区住房价格差异程度,应用灰色关联度筛选解释影响我国地区住房价格差异的变量,并以2007年地区横截面数据为依据,采用偏最小二乘回归分析方法,建立了对所选变量的偏最小二乘回归模型。结果表明,1998~2007年,我国住房价格地区差异较大,用偏最小二乘回归方法提取的成分具有线性无关的特点,对我国地区住房价格差异有较好的解释能力,同时可以消除输入因素的多重共线性。在解释我国地区住房价格差异的变量中,居民收入对我国地区住房价格差异贡献最大,地区经济发展水平次之,住房竣工面积与我国地区住房价格差异水平呈负相关。

【Abstract】 This paper measures housing price gap among different regions during the period of 1998-2007 using Weighed Coefficient of Variation method and selects the variables to explain the gap using gray relational degree.The partial least square regression model is developed through 2007 cross-sectional data of different regions.The results indicate that has been a great gap of housing price among different regions of China form 1998 to 2007,and that elements included in the model have the characteristic of non-linearity,which well explain housing price gap among different regions.in addition,this model eliminate multiply jointly linearity.In the variables of explaining the housing price gap among different regions,the disposable income plays an important role in the gap,different regions’ GDP follows,and the people and the limitation of housing supply are a negative correlation with the gap.

【基金】 技术.政策.管理(TPM)国家哲学社会科学创新基地资助项目(Htcsr06t05);国家发改委“十二五”规划前期重大问题研究课题项目(2009B0408);中央高校基本科研业务费专项资金资助项目(DL10CC15)
  • 【文献出处】 系统管理学报 ,Journal of Systems & Management , 编辑部邮箱 ,2011年01期
  • 【分类号】F293.3
  • 【被引频次】20
  • 【下载频次】979
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