Real Estate Prices Affecting Factors based on Grey Relational Analysis

被引：0

作者：

Jiang, Lei ^{[1
]}

Gao, Yunli ^{[1
]}

Chen, Li ^{[1
]}

机构：

[1] Dalian Nationalities Univ, Sch Civil Engn, Dalian 116600, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND ENGINEERING INNOVATION | 2015年 / 12卷

关键词：

Grey relational analysis; Real estate price; Affecting factor;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper selected seven factors which affect the housing price from macro economic environment, market demand, and living stands of people, and then analyzed the influence of key factors on the price. Based on gray correlation analysis model, the case study is employed in Dalian, and the the importance degree of factors affecting housing prices and the rank can be calculated. It can be concluded that the importance order of factors affecting the real estate prices in Dalian are: per capita consumption expenditure, Resident per capita disposable income, Land transaction price index, the area of real estate sales, the consumer price index, per capita GDP, GDP. This paper can provide a scientific basis for engineering project decisions, market planning and feasibility studies.

引用

页码：1111 / 1114

页数：4