Chapter
Oct 14, 2020
International Conference on Construction and Real Estate Management 2020

Research on the Efficiency Evaluation of Beijing Real Estate Industry Based on Improved DEA Model

Publication: ICCREM 2020: Intelligent Construction and Sustainable Buildings

ABSTRACT

In recent years, the real estate industry has developed rapidly and has become an important part of the national economy. Due to the characteristics of the industry, stable housing prices and qualified housing quality are closely related to everyone. However, the development of China’s real estate industry is not perfect, coupled with numerous factors affecting the industry, the role of the relationship is complex, it is difficult to carry out quantitative analysis. Aiming at this situation, this paper uses SEM to fit the influencing factors and mechanism of real estate industry competitiveness, and combines SEM and DEA to construct a DEA model with SEM constraint cone. Using the data from Beijing from 2000 to the present, the competitiveness efficiency evaluation is carried out. From the research results, the relative importance of various factors and the problems of the efficiency of the real estate industry in Beijing can be obtained. Based on this, targeted countermeasures are proposed.

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ACKNOWLEDGEMENTS

This paper was supported by the National Key Research and Development Program of China (No.2016YFC0701904).

REFERENCES

Charnes, A., Cooper, W.W. and Rhodes, E. (1978). “Measuring the efficiency of decision making units”. European Journal of Operation Research, 2(6), 429-444.
Institute for management Development (IMD). (1997). The world competitiveness yearbook, Lausanne, Switzerland.
Jin, B. (1997). “China’s industrial international competitiveness: theory, method and empirical research.” Economic Management Press., Dec. 3, B1. (in Chinese).
Liu, B.S. (2009). Research on the Formation Mechanism of Regional Construction Industry Competitiveness in China. Tianjin University, Tianjin, China, 96-103. (in Chinese).
Liu, X.T. (2004). Analysis of Industrial Competitive Factors. Jiangxi University of Finance and Economics, Jiangxi, China. (in Chinese).
Michael, P. (2002). “National competitive advantage.” Huaxia Press., Nov. 8, B3. (in Chinese).
Wei, Q.L. (1988). “DEA method for evaluating relative effectiveness”, China Renmin University Press., Jan. 23, B1. (in Chinese).
Wu, Y.H. (1996). “DEA projection study.” Journal of Systems Engineering, 11(4), 45-52. (in Chinese).

Information & Authors

Information

Published In

Go to ICCREM 2020
ICCREM 2020: Intelligent Construction and Sustainable Buildings
Pages: 592 - 601
Editors: Yaowu Wang, Ph.D., Harbin Institute of Technology, Thomas Olofsson, Ph.D., Luleå University of Technology, and Geoffrey Q. P. Shen, Ph.D., Hong Kong Polytechnic University
ISBN (Online): 978-0-7844-8323-7

History

Published online: Oct 14, 2020
Published in print: Oct 14, 2020

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Authors

Affiliations

Xiaowen Sun [email protected]
Postgraduate, Dept. of Construction and Real Estate, Harbin Institute of Technology, Harbin, China (corresponding author). E-mail: [email protected]
Associate Professor, Dept. of Construction and Real Estate, Harbin Institute of Technology, Harbin, China. E-mail: [email protected]

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