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Open AccessArticle

How Government’s Policy Implementation Methods Influence Urban Villagers’ Acceptance of Urban Revitalization Programs: Evidence from China

1
School of Management, Zhejiang University of Technology, Hangzhou 310023, Zhejiang, China
2
China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200040, China
3
Chinese Academy of Housing and Real Estate, Zhejiang University of Technology, Hangzhou 310023, China
4
The University of Manchester, Manchester M13 9PL, UK
*
Author to whom correspondence should be addressed.
Received: 23 January 2020 / Revised: 29 February 2020 / Accepted: 3 March 2020 / Published: 6 March 2020
This study aims to provide new knowledge for the governments to enact more effective policies to proceed housing redevelopment programs. We conducted a survey on local urban villagers in Hangzhou city of China. Overall, our results provide valuable theoretical and practical implications for sustainable urban development. Firstly, we found that more reasonable compensation and more respecting justice and democracy during redevelopment implementation increases people’s acceptance of government’s housing redevelopment program. Secondly, we demonstrated that experiences from social learning, such as government–homeowner conflicts and quality of living of other homeowners who have experienced similar programs, and people’s own historical housing redevelopment experience, significantly influence their acceptance of the program. Thirdly, if the governments ensure more justice and democracy, it largely enhances effectiveness of compensation in promoting people’s acceptance of the housing redevelopment programs. View Full-Text
Keywords: urban revitalization; urban village; internalize externality; sustainable development urban revitalization; urban village; internalize externality; sustainable development
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MDPI and ACS Style

Jin, X.; Chin, T.; Yu, J.; Zhang, Y.; Shi, Y. How Government’s Policy Implementation Methods Influence Urban Villagers’ Acceptance of Urban Revitalization Programs: Evidence from China. Land 2020, 9, 77.

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