基于灰色关联度的房价影响因素修正分析  

Update analysis of factors affecting house price based on grey relational analysis

作　　者：常飞[1,2] 范婷[1,2] 岳智慧[1,2] 

机构地区：[1]四川师范大学西南土地资源评价与监测教育部重点实验室,四川成都610066 [2]四川师范大学地理与资源科学学院,四川成都610066

出　　处：《长安大学学报（社会科学版）》2015年第4期59-63,共5页Journal of Chang'an University(Social Science Edition)

摘　　要：从房地产行业和经济人口角度总结以往房价影响因素指标中存在的信息冗杂、代表性不强的问题,对以往的房地产行业和经济人口影响因素指标进行了修正和补充,以11个新一线城市的房价为例,建立新的指标体系,用灰色关联分析法分析了影响房价的因素及其与房价的关联程度。结果表明:影响房价的因素影响程度由大到小依次为城镇人均可支配收入、人均GDP、城镇新增就业人口、住宅开发投资额、住宅销售面积、住宅待售面积、住宅新开工面积、住宅竣工面积、住宅施工面积、居民消费价格指数;经济人口的需求因素对房价的关联度大于房地产行业的供应因素;人口因素对房价的关联程度低于区域经济因素。Summarizing the existing miscellaneous information and weak representation problems in house price influence factors in the past from the real estate industry and economic population perspective,the paper updates and improves the indictors of the real estate industry and the economic influence factors. Taking 11 new first tier cities as an example,the paper establishes a new index system,and analyzes the relation between the factors and the house price by grey relational analysis. The results show that the factors influencing the housing price from the greatest to smallest are urban per capita disposable income,real GDP per capita,urban new employment population,residential development investment,house sales area,for sale houses area,residential area of new development,residential completed area,residential construction area,consumer price index; demand factors of economic population on the correlation of the house price is greater than the supply factors of real estate industry; the connection degree of population factors on house prices is lower than the regional economic factors.

关 键 词：房价 影响因素 灰色关联度 新一线城市 

分 类 号：F224.0[经济管理—国民经济]