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

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

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.

Suggested Citation

  • Han, Qingye & Zhu, Yuming & Ke, Ginger Y. & Hipel, Keith W., 2019. "Public private partnership in brownfield remediation projects in China: Identification and structure analysis of risks," Land Use Policy, Elsevier, vol. 84(C), pages 87-104.
    • Handle: RePEc:eee:lauspo:v:84:y:2019:i:c:p:87-104
    DOI: 10.1016/j.landusepol.2019.01.034
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    References listed on IDEAS

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    Cited by:

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    2. Ahmad, Naveed & Zhu, Yuming & Ullah, Zia & Iqbal, Muzaffar & Hussain, Kramat & Ahmed, Rahil Irfan, 2021. "Sustainable solutions to facilitate brownfield redevelopment projects in emerging countries – Pakistani scenario," Land Use Policy, Elsevier, vol. 109(C).
    3. Gangmin Weng & Yue Pan & Jianpu Li, 2021. "Study on the Influencing Factors and Acting Path of the Sustainable Development of Rural Tourism Based on EEAM-ISM Model," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    4. Song, Yang & Lyu, Yang & Qian, Sitong & Zhang, Xinjia & Lin, Huiying & Wang, Shijun, 2022. "Identifying urban candidate brownfield sites using multi-source data: The case of Changchun City, China," Land Use Policy, Elsevier, vol. 117(C).
    5. Khalifa Mohammed Al-Sobai & Shaligram Pokharel & Galal M. Abdella, 2020. "Perspectives on the Capabilities for the Selection of Strategic Projects," Sustainability, MDPI, vol. 12(19), pages 1-20, October.
    6. Oppio, Alessandra & Dell’Ovo, Marta & Torrieri, Francesca & Miebs, Grzegorz & Kadziński, Miłosz, 2020. "Understanding the drivers of Urban Development Agreements with the rough set approach and robust decision rules," Land Use Policy, Elsevier, vol. 96(C).
    7. Chin, Jae Teuk, 2021. "The shifting role of public–private partnerships in vacant property redevelopment," Land Use Policy, Elsevier, vol. 105(C).
    8. Jia-He Zhou & Yu-Ming Zhu & Lei He & Hao-Jing Song & Bing-Xu Mu & Fen Lyu, 2022. "Recognizing and managing construction land reduction barriers for sustainable land use in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 14074-14105, December.
    9. Heng Zhang & Guiwen Liu & Qingye Han & Gong Chen, 2022. "Mapping the Barriers of Utilizing Public Private Partnership into Brownfield Remediation Projects in the Public Land Ownership," Land, MDPI, vol. 12(1), pages 1-16, December.
    10. Ahmad, Naveed & Zhu, Yuming & Hongli, Lin & Karamat, Jawad & Waqas, Muhammad & Taskheer Mumtaz, Syed Muhammad, 2020. "Mapping the obstacles to brownfield redevelopment adoption in developing economies: Pakistani Perspective," Land Use Policy, Elsevier, vol. 91(C).

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