Analysis of Influential Factors of Housing Price in Nanjing Based on Improved Grey Relational Analysis

Abstract

This paper based on the real estate related data of Nanjing City from 2006 to 2015, selects the index of influencing factors of house price appropriately and introduces the method of grey absolute relational analysis to construct the grey relational degree model of house price influencing factors, and quantitatively calculate the grey correlation between each index and house price. The results show that the two factors of urban GDP and residents' annual income have the greatest impact on house prices, while the investment of commercial buildings, the sales area of commercial buildings and the completed area of commercial houses have less impact.