Abstract

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

Author(s):: CHANG Fei1; 2; FAN Ting1; 2; YUE Zhi-hui1; 2; 1.Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu 610066, Sichuan, China; 2.School of Geography and Resources Science, Sichuan Normal University, Chengdu 610066, Sichuan, China

Keywords:: house price; influence factors; grey relational analysis; new first tier city

Abstract:: 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.