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Age-friendly regeneration of urban settlements in China: Game and incentives of stakeholders in decision-making

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  • Zhang, Jiayu
  • Yang, Xiaodong
  • Wang, Hao

Abstract

The age-friendly regeneration of urban settlements has been promoted in China to meet older people's demand for "aging in place". However, there are some contradictions among stakeholders in the decision making, hindering the regeneration process. Therefore, after identifying the stakeholders and their contradictions and clarifying their benefits and strategies, this paper established an evolutionary game model of the local government, investors and residents and then explored the stable strategy set of the evolutionary game of stakeholders. A case simulation method was used to test the theoretical results. This paper found the incentive measures that improve the efficiency of the decision making regarding the age-friendly regeneration of urban settlements. This paper also found that under limited conditions, the only stable strategy set of the stakeholder game was the local government, investors and residents implementing active intervention, coordinating opinions and agreeing on benefits strategies, respectively. The evolutionary sequence of the stable strategy set is "local government → investors → residents", which was very important to the application of incentive measures and the proposal of policy implications and suggestions. The effective incentive measures to improve the age-friendly regeneration decision-making efficiency included the following: direct subsidies, indirect subsidies and direct punishment for investors and passive compensation and sharing coefficient optimization for residents. Some policy implications and suggestions for improving decision-making efficiency and promoting the age-friendly regeneration of urban settlements in China are proposed in this paper. The local government can appropriately increase direct and indirect incentives and apply moderate punishment. It is very important that the local government pays attention to the design and operating principles of incentive measures. Otherwise, the wrong design and operation might lead to the failure of incentive measures. The higher-level government should supervise the local government carefully and propose relevant policies and regulations to clearly punish the negative attitudes of the local government. Investors can share more incremental income with residents to promote the development of corporations and the recognition of the local government and residents. Residents should make a good balance of advantages and disadvantages in the decision-making of age-friendly regeneration.

Suggested Citation

  • Zhang, Jiayu & Yang, Xiaodong & Wang, Hao, 2021. "Age-friendly regeneration of urban settlements in China: Game and incentives of stakeholders in decision-making," Land Use Policy, Elsevier, vol. 111(C).
  • Handle: RePEc:eee:lauspo:v:111:y:2021:i:c:s0264837721004683
    DOI: 10.1016/j.landusepol.2021.105745
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    References listed on IDEAS

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    1. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    2. Ritzberger, Klaus & Weibull, Jorgen W, 1995. "Evolutionary Selection in Normal-Form Games," Econometrica, Econometric Society, vol. 63(6), pages 1371-1399, November.
    3. Jicai Liu & Ruolan Gao & Charles Yuen Jen Cheah & Jian Luo, 2017. "Evolutionary game of investors’ opportunistic behaviour during the operational period in PPP projects," Construction Management and Economics, Taylor & Francis Journals, vol. 35(3), pages 137-153, March.
    4. Brendan Williams, 2005. "Fiscal Incentives and Urban Regeneration," ERES eres2005_349, European Real Estate Society (ERES).
    5. Xiaodong Yang & Jiayu Zhang & Xianbo Zhao, 2018. "Factors Affecting Green Residential Building Development: Social Network Analysis," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    6. Andrew L. Friedman & Samantha Miles, 2002. "Developing Stakeholder Theory," Journal of Management Studies, Wiley Blackwell, vol. 39(1), pages 1-21, January.
    7. Ingrid Nappi-Choulet, 2006. "The Role and Behaviour of Commercial Property Investors and Developers in French Urban Regeneration: The Experience of the Paris Region," Urban Studies, Urban Studies Journal Limited, vol. 43(9), pages 1511-1535, August.
    8. Corina M. Rădulescu & Ovidiu Ştefan & Gheorghe M.T. Rădulescu & Adrian T.G.M. Rădulescu & Mihai V.G.M. Rădulescu, 2016. "Management of Stakeholders in Urban Regeneration Projects. Case Study: Baia-Mare, Transylvania," Sustainability, MDPI, vol. 8(3), pages 1-22, March.
    9. Xie, Hualin & Wang, Wei & Zhang, Xinmin, 2018. "Evolutionary game and simulation of management strategies of fallow cultivated land: A case study in Hunan province, China," Land Use Policy, Elsevier, vol. 71(C), pages 86-97.
    10. Guido Codecasa & Davide Ponzini, 2011. "Public-Private Partnership: A Delusion for Urban Regeneration? Evidence from Italy," European Planning Studies, Taylor & Francis Journals, vol. 19(4), pages 647-667, April.
    11. Lieselot Vandenbussche, 2018. "Mapping Stakeholders’ Relating Pathways in Collaborative Planning Processes; A Longitudinal Case Study of an Urban Regeneration Partnership," Planning Theory & Practice, Taylor & Francis Journals, vol. 19(4), pages 534-557, August.
    12. Yiming Wang & Pengcheng Xiang, 2019. "Investigate the Conduction Path of Stakeholder Conflict of Urban Regeneration Sustainability in China: the Application of Social-Based Solutions," Sustainability, MDPI, vol. 11(19), pages 1-18, September.
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    Cited by:

    1. Jinkun Yang & Linchuan Yang & Haitao Ma, 2022. "Community Participation Strategy for Sustainable Urban Regeneration in Xiamen, China," Land, MDPI, vol. 11(5), pages 1-14, April.
    2. Chunmei Zhang & Jun Yang, 2023. "Evaluation of the Quality of the Age-Friendly Environment in Liaoning Province," Sustainability, MDPI, vol. 15(22), pages 1-13, November.
    3. Zheng Qi & Qingling Li & Qiang Huang & Tianyan Wu, 2023. "Evaluation of Supply and Demand Balance and Spatial Spillover Effect of Age-Friendly Environment," Sustainability, MDPI, vol. 15(15), pages 1-19, August.

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