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Buildings 2017, 7(3), 83; doi:10.3390/buildings7030083

Research on Investment Risk Management of Chinese Prefabricated Construction Projects Based on a System Dynamics Model

School of Tourism and Urban Management, Jiangxi University of Finance & Economics, Nanchang 330013, China
Author to whom correspondence should be addressed.
Received: 20 July 2017 / Revised: 11 September 2017 / Accepted: 18 September 2017 / Published: 20 September 2017
(This article belongs to the Special Issue Real Estate Economics, Management and Investments)
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Prefabricated construction, a new direction for the future development of the Chinese construction industry, can maximize the requirements of “green”. As a new form of green building, prefabricated construction is of particular interest. On account of the immature development of the green building market in China, the investment risk for prefabricated construction is higher than for traditional architecture. Hence, it is especially important to improve its investment risk identification and management. This study adopts system dynamics and builds a risk identification feedback chart and risk flow chart, to comprehensively identify investment risks that projects in China may face and to process quantitative estimation of investment risk factors. Key factors influencing project investment risks are found, and corresponding measures are pointedly proposed. This paper may provide guidance and a reference for promoting the sound development of prefabricated construction in China. View Full-Text
Keywords: prefabricated construction; investment risk management; system dynamics model prefabricated construction; investment risk management; system dynamics model

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Li, M.; Li, G.; Huang, Y.; Deng, L. Research on Investment Risk Management of Chinese Prefabricated Construction Projects Based on a System Dynamics Model. Buildings 2017, 7, 83.

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