International Conference on Construction and Real Estate Management 2016
Analysis on Real Estate Price Influence Factors in China Based on the Multivariate Linear Regression Model
Publication: ICCREM 2016: BIM Application and Off-Site Construction
ABSTRACT
The rapid development of the real estate industry in China has in turn greatly contributed to national economic growth in the last several years. However, the prices are unstable and have been soaring since 2000. Therefore, research on the factors affecting real estate price in China has great practical significance. In this paper, related research achievements from domestic and foreign scholars on the subject are evaluated. Then, the latest statistical data from 2000 to 2014 is selected and analyzed. Further, a real estate price model affecting house price change has been established through a multiple linear regression method, obtaining the conclusion: Real estate price change has shown a greater correlation to urbanization, commercial house sales, and the use-of foreign investments for real estate development enterprise than other related factors. In response, therefore, the government should enlarge its supervision over real estate development and sales links, promote coordinated development between real estate and urbanization, and regulate the utilization behavior and financing channels of foreign estate development enterprises on foreign investment to promote the stability of house prices in China.
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REFERENCES
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Information & Authors
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Published In
ICCREM 2016: BIM Application and Off-Site Construction
Pages: 998 - 1004
Editors: Yaowu Wang, Ph.D., Professor, Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., Professor, University of Alberta, Geoffrey Q. P. Shen, Ph.D., Professor, The Hong Kong Polytechnic University, and Yimin Zhu, Ph.D., Professor, Louisiana State University
ISBN (Online): 978-0-7844-8027-4
Copyright
© 2017 American Society of Civil Engineers.
History
Published online: Aug 14, 2017
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