基于空间计量模型的住宅价格空间效应实证分析:以杭州市为例  

An empirical analysis on spatial effects of the housing price based on spatial econometric models:Evidence from Hangzhou City

作　　者：温海珍[1] 张之礼[1] 张凌[1] 

机构地区：[1]浙江大学房地产研究中心,杭州310027

出　　处：《系统工程理论与实践》2011年第9期1661-1667,共7页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金(40801057);中央高校基本科研业务费专项资金(2009QNA4025)

摘　　要：采用空间自相关Moran指数及空间计量经济学方法,研究了城市住宅价格的空间效应及决定因素.利用2008年杭州市317个小区的微观住宅数据,构建了特征价格的空间滞后模型和空间误差模型.研究结果表明,住宅价格存在显著的空间效应,空间计量模型的估计结果优于传统模型,提高了特征价格模型的有效性和稳健性.Applying spatial autocorrelation Moran＇s index and techniques of spatial econometrics,the spatial effects and determinants of urban housing prices were studied.With micro housing data of 317 communities in Hangzhou in 2008,the spatial lag model and spatial error model based on hedonic price method were constructed.The results show that significant spatial effects exist in housing prices,and the results derived from spatial econometric models are apparently superior to that traditional model. Accordingly,spatial econometric models improve the effectiveness and robustness of the hedonic price model.

关 键 词：住宅价格 Moran'sⅠ检验 空间滞后模型 空间误差模型 

分 类 号：F293.3[经济管理—国民经济]