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Measuring farmers’ sustainable livelihood resilience in the context of poverty alleviation: a case study from Fugong County, China
In recent years, the sustainable livelihood of farmers has been threatened by various events such as the COVID-19 pandemic, which has significantly impacted efforts to alleviate poverty. Therefore, it is vitally important to increase farmers’ sustainable livelihood resilience to enhance the stabilit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Palgrave Macmillan UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969940/ https://www.ncbi.nlm.nih.gov/pubmed/36875323 http://dx.doi.org/10.1057/s41599-023-01575-4 |
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author | Sun, Yue Wang, Yanhui Huang, Chong Tan, Renhua Cai, Junhao |
author_facet | Sun, Yue Wang, Yanhui Huang, Chong Tan, Renhua Cai, Junhao |
author_sort | Sun, Yue |
collection | PubMed |
description | In recent years, the sustainable livelihood of farmers has been threatened by various events such as the COVID-19 pandemic, which has significantly impacted efforts to alleviate poverty. Therefore, it is vitally important to increase farmers’ sustainable livelihood resilience to enhance the stability and sustainability of poverty alleviation efforts. In this study, to scientifically measure and analyze farmers’ sustainable livelihood resilience, we designed an analytical framework that captures the characteristics of farmers’ sustainable livelihood resilience from the three dimensions of buffer capacity, self-organization capacity, and learning capacity. We then constructed an index system of farmers’ sustainable livelihood resilience and a cloud-model-based multi-level fuzzy comprehensive evaluation model. Finally, the coupling coordination degree and decision tree methods were used to identify the level of development and relationships among the three abovementioned dimensions of farmers’ sustainable livelihood resilience. A case study from Fugong County, Yunnan Province, China revealed that the spatial and temporal distributions of farmers’ sustainable livelihood resilience were heterogeneous across various regions. Furthermore, the spatial distribution of the coordinated development level of farmers’ sustainable livelihood resilience is similar to that of its overall level because the three dimensions of buffer capacity, self-organization capacity, and learning capacity interact with each other and develop synergistically, and the lack of any one of these affects the overall development of farmers’ sustainable livelihood resilience. In addition, the sustainable livelihood resilience of farmers in various villages is in a state of stable promotion, benign promotion, stagnation, mild recession, severe recession, or chaotic period, indicating a lack of balance in terms of the state of development. However, sustainable livelihood resilience will gradually improve in response to targeted support policies formulated by the national or local governments. |
format | Online Article Text |
id | pubmed-9969940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Palgrave Macmillan UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99699402023-02-28 Measuring farmers’ sustainable livelihood resilience in the context of poverty alleviation: a case study from Fugong County, China Sun, Yue Wang, Yanhui Huang, Chong Tan, Renhua Cai, Junhao Humanit Soc Sci Commun Article In recent years, the sustainable livelihood of farmers has been threatened by various events such as the COVID-19 pandemic, which has significantly impacted efforts to alleviate poverty. Therefore, it is vitally important to increase farmers’ sustainable livelihood resilience to enhance the stability and sustainability of poverty alleviation efforts. In this study, to scientifically measure and analyze farmers’ sustainable livelihood resilience, we designed an analytical framework that captures the characteristics of farmers’ sustainable livelihood resilience from the three dimensions of buffer capacity, self-organization capacity, and learning capacity. We then constructed an index system of farmers’ sustainable livelihood resilience and a cloud-model-based multi-level fuzzy comprehensive evaluation model. Finally, the coupling coordination degree and decision tree methods were used to identify the level of development and relationships among the three abovementioned dimensions of farmers’ sustainable livelihood resilience. A case study from Fugong County, Yunnan Province, China revealed that the spatial and temporal distributions of farmers’ sustainable livelihood resilience were heterogeneous across various regions. Furthermore, the spatial distribution of the coordinated development level of farmers’ sustainable livelihood resilience is similar to that of its overall level because the three dimensions of buffer capacity, self-organization capacity, and learning capacity interact with each other and develop synergistically, and the lack of any one of these affects the overall development of farmers’ sustainable livelihood resilience. In addition, the sustainable livelihood resilience of farmers in various villages is in a state of stable promotion, benign promotion, stagnation, mild recession, severe recession, or chaotic period, indicating a lack of balance in terms of the state of development. However, sustainable livelihood resilience will gradually improve in response to targeted support policies formulated by the national or local governments. Palgrave Macmillan UK 2023-02-27 2023 /pmc/articles/PMC9969940/ /pubmed/36875323 http://dx.doi.org/10.1057/s41599-023-01575-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sun, Yue Wang, Yanhui Huang, Chong Tan, Renhua Cai, Junhao Measuring farmers’ sustainable livelihood resilience in the context of poverty alleviation: a case study from Fugong County, China |
title | Measuring farmers’ sustainable livelihood resilience in the context of poverty alleviation: a case study from Fugong County, China |
title_full | Measuring farmers’ sustainable livelihood resilience in the context of poverty alleviation: a case study from Fugong County, China |
title_fullStr | Measuring farmers’ sustainable livelihood resilience in the context of poverty alleviation: a case study from Fugong County, China |
title_full_unstemmed | Measuring farmers’ sustainable livelihood resilience in the context of poverty alleviation: a case study from Fugong County, China |
title_short | Measuring farmers’ sustainable livelihood resilience in the context of poverty alleviation: a case study from Fugong County, China |
title_sort | measuring farmers’ sustainable livelihood resilience in the context of poverty alleviation: a case study from fugong county, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9969940/ https://www.ncbi.nlm.nih.gov/pubmed/36875323 http://dx.doi.org/10.1057/s41599-023-01575-4 |
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