基于PLS的江苏省房地产价格影响因素的实证研究  

An Empirical Research on the Impact Factors of Housing Prices in Jiangsu Province Based on Partial Least Square Method

作　　者：施庆生[1] 翟文斌[1] 邓晓卫[1] 

机构地区：[1]南京工业大学应用数学系,江苏南京210009

出　　处：《数学的实践与认识》2013年第17期19-26,共8页Mathematics in Practice and Theory

基　　金：教育部人文社科规划项目(11YJA910001)

摘　　要：通过偏最小二乘(PLS)方法对江苏省2000-2010年9个指标的汇总数据进行研究,并利用变量投影重要性指标(VIP)考察了各影响因素的重要程度.结果表明,城镇人均住房面积、在岗职工平均收入、人均GDP是影响江苏省房价最重要的因素.同时,考虑到江苏省内部发展的差异,又运用PLS法对苏南、苏中、苏北三地区2004-2010年9个指标的面板数据分别进行了分析.结果表明,在岗职工平均收入对三地区的房价均有较大影响.其余影响因素则因经济发展存在差异.In this paper, we employ the PLS method to quantitatively study the impact factors of housing prices in Jiangsu Province with aggregate data from 2000 to 2010 of nine indicators, and utilize the indeX of variable importance in projection to analyze significant level of them. The results show that urban construction area per capita, the average income of on-the-job workers, per capita GDP are the most important factors. Meanwhile, taking the internal development discrepancy of Jiangsu Province into consideration, we also analyze the Southern, Central and Northern region＇s 2004-2010 panel data separately through PLS method. The results show that there eXist discrepancy among each part＇s impact factors.

关 键 词：房地产价格 偏最小二乘方法 汇总数据 面板数据 影响因素 

分 类 号：F224[经济管理—国民经济] F293.3