Research on the collaborative governance of urban regeneration based on a Bayesian network: The case of Chongqing

Guiwen Liu, Xinyue Fu, Qingye Han, Ruopeng Huang and Taozhi Zhuang

Land Use Policy, 2021, vol. 109, issue C

Abstract: The rapid development of the economy and urbanization has led to numerous urban regeneration projects, and collaborative governance is increasingly advocated to address the management issues that occur during urban regeneration. However, strong collaboration is still a great challenge among multiple stakeholders during the process of urban regeneration. Based on Bayesian network theory and the case of Chongqing, this article aims to deconstruct the complex structure and explore the inherent mechanism of urban regeneration governance to achieve collaboration. First, a Bayesian network model of urban regeneration governance was developed to visualize the complex structure of multiple stakeholders’ interests. Second, the inherent mechanism was analyzed though Bayesian inference. The results indicate that the cooperation degree of related governments, conflict resolution efficiency, degree of public participation, and normality of public participation may be key factors that lead to collaborative behavior. Third, a further discussion was conducted, based on which policy implications were drawn to promote collaborative governance in urban regeneration.

Keywords: Collaborative Governance; Urban Regeneration; Mechanism Analysis; Bayesian Network (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:lauspo:v:109:y:2021:i:c:s026483772100363x

DOI: 10.1016/j.landusepol.2021.105640

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