Rural Network Resilience: A New Tool for Exploring the Mechanisms and Pathways of Rural Sustainable Development
Chao Yu,
Zhiyuan Zhou and
Junbo Gao ()
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Chao Yu: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Zhiyuan Zhou: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Junbo Gao: School of Tourism, Xinyang Normal University, Xinyang 464000, China
Sustainability, 2024, vol. 16, issue 14, 1-18
Abstract:
Enhancing rural resilience is crucial due to the significant vulnerabilities faced by rural areas, such as weak economic foundations, scarce resources, and deficient infrastructure. This paper aims to provide a comprehensive review of rural network resilience (RNR) to underscore its importance in understanding the mechanisms and pathways of rural sustainable development. To establish the theoretical foundations of RNR, we trace the evolution of resilience concepts and their applications across disciplines. The proposed analytical framework integrates evaluation methods from network science to assess RNR’s structural characteristics and outlines simulation techniques for predicting resilience under various risk scenarios. Furthermore, the paper examines the key influencing factors that shape RNR within complex rural regional systems, exploring the intricate evolutionary mechanisms involved. To bridge existing research gaps, a synergistic development perspective is introduced, emphasizing the interconnected, multi-layered nature of rural networks across societal, economic, and ecological domains. Additionally, a county-level analytical framework tailored for county-level rural resilience analysis is presented to offer strategic guidance for enhancing RNR and driving sustainable rural revitalization. This transdisciplinary synthesis propels RNR as an emerging field with significant policy implications.
Keywords: rural network; rural resilience; rural network resilience; rural sustainable development (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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