Chapter
Aug 29, 2019
International Conference on Construction and Real Estate Management 2019

The Correlation Effect and Ripple Effect of Real Estate Industry: An Empirical Analysis on the Input-Output Table of Heilongjiang

Publication: ICCREM 2019: Innovative Construction Project Management and Construction Industrialization

ABSTRACT

The role of the real estate industry occupies in the national economy is an empirical topic to be answered. Based on the input-output data of Heilongjiang Province in 2012, this paper calculates the correlation effect and ripple effect of the real estate industry. The results show that the development of the real estate industry in Heilongjiang Province has the characteristics of extensive growth driven by material investment. The low quality of its development is manifested by its strong backward correlation effect with the raw material consumption industry and its strong forward correlation effect with industry-oriented service. The influence coefficient and sensitivity coefficient of the real estate industry in Heilongjiang Province are less than the average level of the whole country, and its economic impact is not obvious. Therefore, the real estate industry in Heilongjiang Province should not be developed as the pillar industry, improving the quality of real estate services will be the focus of future policy-making.

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ACKNOWLEDGMENTS

Foundation item: supported by Heilongjiang Province Social Science Funks(18JYB153).

REFERENCES

Cheng, D.C. and Fang, S.J. (2008). “Research on the function location of real estate industry in Zhejiang Province.” Statistical Research, (1), 65-70. (in Chinese).
Cheng, J. and Peng, C. (2010). “An input-output analysis of china’s real estate industry: based on input-output tables in 2007.” Value Engineering, (7), 79-80. (in Chinese).
Lan, X. (2010). “The development of real estate depends on a clear positioning of livelihood.” China Information, (4), 26. (in Chinese).
Lu, P. and Zheng, L.F. (2012). “A study of correlation effect and ripple effect of real estate industry: based on the input-output tables in Zhejiang.” Scientific Decision Making, (2), 52-63. (in Chinese).
Song, G., Tang, L.Y. and Liu, P. (2018). “Analysis on correlation and spread effect of equipment manufacturing industry and producer services industry in Liaoning.” Journal of Shenyang University of Technology (Social Science Edition), (4), 26-33. (in Chinese).
Wei, W.X. and Yuan, P.F. (2009). “Analysis of the industrial relationship and status of real estate industry: the cases of the situation in Beijing, Shanghai and Xiamen City.” Systems Engineering Theory and Practice, (5), 89-105. (in Chinese).
Zhao, C.G., Feng, R. and Liu, Y. (2017). “Analysis on the development status of real estate in Heilongjiang.” Statistics and Consultation, (3), 5-9. (in Chinese).
Zhao, L.J. and Yan, Y.T. (2007). “Comparative analysis of real estate industry’s input-output in the U.S. and China.” Comparative Economic and Social Systems, (2), 110-116. (in Chinese).

Information & Authors

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Published In

Go to ICCREM 2019
ICCREM 2019: Innovative Construction Project Management and Construction Industrialization
Pages: 766 - 772
Editors: Yaowu Wang, Ph.D., Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., University of Alberta, and Geoffrey Q. P. Shen, Ph.D., Hong Kong Polytechnic University
ISBN (Online): 978-0-7844-8230-8

History

Published online: Aug 29, 2019

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Professor, School of Economics, Harbin Univ. of Commerce, Harbin, China 150028 (corresponding author). E-mail: [email protected]
Postgraduate, School of Economics, Harbin Univ. of Commerce, Harbin, China 150028. E-mail: [email protected]

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