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The performativity of city resilience for sustainable development of poor and disaster-prone regions: A case study from China

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  • Tang, Min
  • Liu, Peihan
  • Chao, Xiangrui
  • Han, Zhenglin

Abstract

The development of disaster-prone areas is always lack of sustainability. The change of these areas needs to develop its resilience to grow internal and continue development power. However, the interaction mechanism of resilience and sustainable development in these areas is still unclear, and there is a lack of effective resilience cultivation strategies. This paper develops a theoretical framework of resilience and builds the regional economic-social development path of post-disaster reconstruction using a case in Heishui, a deep poverty county in the western China. Specifically, we investigate its regional resilience from three stages including the recovery stage, poverty alleviation stage and revitalization stage. Then, we analyze a balance relation and endogenous dynamics between the long-striding social system and the backward development mode of the sustainable economic-social development. The results show that the effective internal development structure can improve the resilience of poor and disaster-prone areas. In addition, these areas should focus on the physical level and the cultural level to improve the social resilience and institutional resilience, which contribute to the reconstruction and sustainable development of the disaster-prone areas.

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  • Tang, Min & Liu, Peihan & Chao, Xiangrui & Han, Zhenglin, 2021. "The performativity of city resilience for sustainable development of poor and disaster-prone regions: A case study from China," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    • Handle: RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005631
    DOI: 10.1016/j.techfore.2021.121130
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    Cited by:

    1. Zhang, Lifeng & Chao, Xiangrui & Qian, Qian & Jing, Fuying, 2022. "Credit evaluation solutions for social groups with poor services in financial inclusion: A technical forecasting method," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    2. Liang, Lin & Li, Yan, 2023. "How does government support promote digital economy development in China? The mediating role of regional innovation ecosystem resilience," Technological Forecasting and Social Change, Elsevier, vol. 188(C).

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