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Grasping institutional complexity in infrastructure mega-projects through the multi-level governance system: A case study of the Hong Kong-Zhuhai-Macao Bridge construction |
Yi HU1(), Yun LE1, Xinglin GAO2, Yongkui LI1, Mingqiang LIU3 |
1. Department of Construction Management and Real Estate, School of Economics and Management, Tongji University, Shanghai 200092, China 2. Hong Kong-Zhuhai-Macao Bridge Authority, Zhuhai 519060, China 3. Research Institute of Complex Engineering and Management, School of Economics and Management, Tongji University, Shanghai 200092, China |
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Abstract This study analyzes the design and operation of multi-level governance system for the smooth delivery of infrastructure mega-projects with high institutional complexity caused by market transition. From an institutional perspective, this study scrutinizes the structure, elements, and dynamics of the governance system of infrastructure mega-projects and then proposes an integrative framework based on the inductive case study of the Hong Kong-Zhuhai-Macao Bridge mega-project. Multiple evidences of archives, field studies, and interviews related to the case project are triangulated to further analyze the institutional effects, specifically those with government logics and market structures, on the design and operation of the three-level governance system. Results reveal that the co-evolution between governments and markets in China has shaped the vertical levels of the mega-project governance system and has further affected their evolution and operation across various stages of project development. This study contributes to the rapidly emerging research on complex system governance by proposing a systematic model of three-level mega-project governance to enhance the timely delivery of infrastructure mega-projects within budget.
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Keywords
institutional complexity
multi-level governance
infrastructure mega-project
China
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Corresponding Author(s):
Yi HU
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Just Accepted Date: 03 January 2018
Online First Date: 02 February 2018
Issue Date: 21 March 2018
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