基于地理加权回归的环渤海城市群房价影响因子研究  

Study on the influence factors of housing price in the urban area of Bohai RingMegalopolis based on geographically weighted regression

作　　者：张金亭[1] 赵瑞 ZHANG Jin-ting(School of Resource and Environmental Sciences,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉大学资源与环境科学学院,武汉430079

出　　处：《国土与自然资源研究》2019年第1期87-93,共7页Territory & Natural Resources Study

基　　金："面向城市扩展过程的动态空间格局指标与自组织空间结构分析模型"(41571385);中央高校自主科研项目(2042016kf0175)

摘　　要：选取环渤海城市群作为研究对象,将其2016年各项经济指标数据进行分类,并将各类指标进行主成分分析和逐步回归分析后的结果作为自变量,将各城市的商品房平均价格作为因变量,构建地理加权回归模型(GWR),通过对回归结果的分析,来解读各因素对房价的影响程度。并通过比较各城市的房价真实值与预测值,来对房价的合理性进行分析。In this paper,the cities of Bohai Ring Megalopolisare selected as the research object.And then,the data of various economic indicators in 2016 are classified.The results of principal component analysis and stepwise regression analysis are used as independent variables,the average price of commercial housing in each cityare used as dependent variables to construct a geographically weighted regression model(GWR).By analyzing the regression results,the paper explains the impact of various factors on housing prices.And by comparing the real value and predicted value of housing prices in each city,the rationality of housing prices is analyzed.

关 键 词：环渤海城市群 主成分分析 逐步回归分析 地理加权回归 

分 类 号：F293.3[经济管理—国民经济]