Public private partnership in brownfield remediation projects in China: Identification and structure analysis of risks

Qingye Han, Yuming Zhu, Ginger Y. Ke and Keith W. Hipel

Land Use Policy, 2019, vol. 84, issue C, 87-104

Abstract: A novel systematic procedure is designed for analyzing risks within a public private partnership (PPP) approach for addressing brownfield remediation problems in China. More specifically in this research, original risk factors are first obtained from the existing literature. To reflect the unique situation in China, a Delphi Method is utilized to appropriately revise the definitions of the risks, merge similar risks and add new risks overlooked in the literature. Then, an interpretative structural model (ISM) is used to design a hierarchical structural graph for reflecting the interrelationships of these risks. Additionally, based on the “impact matrix cross-reference multiplication applied to a classification” (MICMAC) analysis, the risks are sorted into four clusters depending on their driver and dependence powers to show the relationship level of risks. Lastly, nine key risks are determined considering both the findings of ISM and MICMAC analysis, and several implications are put forward for the Chinese government.

Keywords: Brownfields; Public private partnership; Interpretative structural model; Risk identification; Decision making (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:lauspo:v:84:y:2019:i:c:p:87-104

DOI: 10.1016/j.landusepol.2019.01.034

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