DocumentCode :
3277789
Title :
Grey Relevance Analysis of Real Estate Prices Influencing Factors: Taking Changsha as an Example
Author :
Xie Zheng ; Mo Lian-Guang
Author_Institution :
Hunan Urban Univ., Yiyang, China
fYear :
2013
fDate :
16-18 Jan. 2013
Firstpage :
800
Lastpage :
802
Abstract :
The thesis uses grey relevance theory to analyze the relations between Changsha´s Real estate prices and its influencing factors. The result of the analysis proves that the sequence of the factors influencing real estate prices is urbanization level, residents, per capita income, annual average lending rates, M2, exchange rate, inflation rate, housing supply. Rising real estate prices is a medium-to long-term trend. Short-term fluctuations in real estate prices more are caused by external factors that affect housing prices. Effect of scientific and reasonable regulation of real estate policy Should be Coordinate between rising real estate prices, the improvement of China´s urbanization rate and increase in the incomes of the people,reduce impact on the national economy and people´s lives as real estate prices of short-term volatility.
Keywords :
grey systems; inflation (monetary); pricing; property market; Changsha´s real estate prices; China urbanization rate; M2; annual average lending rates; exchange rate; grey relevance analysis; housing prices; housing supply; inflation rate; national economy; people income increment; real estate policy; reasonable regulation; residents´ per capita income; scientific regulation; short-term fluctuations; short-term volatility; urbanization level; Correlation; Economic indicators; Educational institutions; Exchange rates; Finance; Fluctuations; Market research; grey relevance; influencing factors; pice; real estate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4893-5
Type :
conf
DOI :
10.1109/ISDEA.2012.190
Filename :
6456262
Link To Document :
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