南京市二手房房价影响因素的主成分回归分析  

Principal Component Regression Analysis of Influencing Factors of Second-hand House Price in Nanjing

作　　者：刘冰[1] 朱建国[1] 金跃强[1] LIU Bing;ZHU Jian-guo;JIN Yue-qiang(General Foundation Requisite Department,Nanjing Institute of Industry Technology,Nanjing 210023,China)

机构地区：[1]南京工业职业技术学院公共基础课部,南京210023

出　　处：《南通职业大学学报》2020年第2期66-68,共3页Journal of Nantong Vocational University

基　　金：中国高等教育学会职业技术教育分会2018年度一般课题(GZYY2018053);南京工业职业技术学院2017年校级重点科研基金项目(YK17-10-02)。

摘　　要：通过分析15 980个南京市二手房数据,建立了影响单位面积房价的多元回归模型,再利用主成分分析提取了包含8个原始变量90%以上的信息,最终得出了影响南京市二手房房价的主成分回归模型。通过比较8个变量对单位面积房价的影响,得到是否有学区和是否装修对单位面积房价影响较大,卧室数及房屋总面积对单位面积房价影响较小以及房龄与单位面积房价负相关的结论,以期对二手房合理定价提供参考。By analyzing the data of 15 980 second-hand houses in Nanjing, a multiple regression model of factors that affect house prices per unit area is established, and principal component analysis is conducted to extract information containing more than 90 % of the eight original variables. Finally the principal component regression model for the factors that affect second-hand house prices in Nanjing is obtained. By comparing the impact of 8 variables on the price per unit area, it is concluded that whether there is a school district and whether it is decorated has a greater impact on the price of unit area while the number of bedrooms and the total area of the house have less effect on the price per unit area. The age of house is negatively related to the unit price.

关 键 词：单位面积房价 相关性分析 房价影响因素 主成分回归 南京市二手房 

分 类 号：F293.35[经济管理—国民经济]