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Tripartite Evolutionary Game and Policy Simulation: Strategic Governance in the Redevelopment of the Urban Village in Guangzhou

Dinghuan Yuan, Jiaxin Li, Qiuxiang Li and Yang Fu ()
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Dinghuan Yuan: School of Public Administration and Emergency Management, Jinan University, Guangzhou 510632, China
Jiaxin Li: School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai 519070, China
Qiuxiang Li: School of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China
Yang Fu: Department of Public Administration, School of Government, Shenzhen University, Shenzhen 518000, China

Land, 2024, vol. 13, issue 11, 1-21

Abstract: The scarcity of land drives urban village redevelopment projects, which involve interest redistribution among stakeholders with distinct demands. This paper utilizes evolutionary game theory and simulation methods, constructing a tripartite game model under the institutional arrangement of bottom-up with private developer funding. This study identifies the stable strategies and evolutionary trends of the tripartite interactions under four distinct scenarios and validates these strategies through simulations. The redevelopment of XC village validates the assumptions of the model and theoretical analysis, suggesting that when private developers adopt forced demolition strategies, although villagers ultimately choose to sign the contract of property exchange, it can easily lead to social conflicts. These research findings can enlighten the government to form a tripartite alliance to smooth urban village redevelopment.

Keywords: urban village redevelopment; stakeholders; tripartite evolutionary game; equilibrium strategy; policy simulation (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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