DocumentCode :
2293367
Title :
Macro-micro factors affecting real estate demand analysis
Author :
Wan, Li-Jun ; Zhang, Yan ; Wang, Guang-Xue
Author_Institution :
Sch. of Manage., Harbin Normal Univ., Harbin, China
fYear :
2009
fDate :
14-16 Sept. 2009
Firstpage :
1988
Lastpage :
1993
Abstract :
Real estate demand is an important factor to affect the real estate balanced and healthy development, an accurate analysis of the macro factors and the real estate demand relationship could give the government, land agents and house purchasers more effective services. In this paper, it uses factor analysis, system dynamics feedback diagram and multiple regression methods of econometrics. By use of feedback chart, to research the relationship among various factors affecting the real estate demand from the point of view of the consumer demand and investment demand, and build a feedback graph model. Based on historical data, to analyze majority of various factors in the multiple regression equation, and to exam those factors anaist the economical efficiency, standard deviation evaluation, goodness of fittest, overall significant and single significant in the regression model, and then, make the conclusion that ldquorecently the most important factor affecting China´s real estate demand is house price anticipationrdquo.
Keywords :
econometrics; economic indicators; graph theory; investment; pricing; property market; regression analysis; China real estate demand analysis; consumer demand; econometrics; feedback chart; feedback graph model; goodness-of-fittest; government; house price anticipation; house purchaser; investment demand; land agent; macro-micro factor analysis; multiple regression method; standard deviation evaluation; system dynamics feedback diagram; Conference management; Data analysis; Econometrics; Economic forecasting; Economic indicators; Engineering management; Feedback; Investments; Merchandise; Wide area networks; econometrics; feedback diagram; real estate demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2009. ICMSE 2009. International Conference on
Conference_Location :
Moscow
Print_ISBN :
978-1-4244-3970-6
Electronic_ISBN :
978-1-4244-3971-3
Type :
conf
DOI :
10.1109/ICMSE.2009.5318875
Filename :
5318875
Link To Document :
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