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Spatial heterogeneity in and distributional characteristics of rural ecological livability in China——The case of Fujian Province

With the outbreak of COVID-19, the importance of rural areas has been gradually highlighted, and the importance of rural ecological livability has been gradually recognized. A growing body of literature recognizes the importance of building a rural ecological livability (REL) system. It is urgent th...

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Autores principales: Jiang, Xiaoli, Wang, Lingyu, Su, Xiaofeng, Zeng, Weipeng, Xu, Anxin, Zheng, Qiujin, Xu, Wenxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771673/
https://www.ncbi.nlm.nih.gov/pubmed/33373372
http://dx.doi.org/10.1371/journal.pone.0244238
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author Jiang, Xiaoli
Wang, Lingyu
Su, Xiaofeng
Zeng, Weipeng
Xu, Anxin
Zheng, Qiujin
Xu, Wenxing
author_facet Jiang, Xiaoli
Wang, Lingyu
Su, Xiaofeng
Zeng, Weipeng
Xu, Anxin
Zheng, Qiujin
Xu, Wenxing
author_sort Jiang, Xiaoli
collection PubMed
description With the outbreak of COVID-19, the importance of rural areas has been gradually highlighted, and the importance of rural ecological livability has been gradually recognized. A growing body of literature recognizes the importance of building a rural ecological livability (REL) system. It is urgent that we clarify the status quo and spatial-temporal differences in and distributional characteristics of rural ecological livability and that we carry out targeted and differentiated construction to promote rural ecological livability in post-epidemic China. This study proposes a conceptual model that incorporates various economic, social and environmental factors and develops a comprehensive multifactor (production-living-ecology) evaluation system. Using Fujian Province as an example, the entropy weight method is used to measure the REL level of 55 counties and cities, which are comprehensively evaluated from 2015 to 2019. Moran's I and Getis-Ord Gi* are used to analyze the spatial and distributional characteristics of the REL level in Fujian. The results show that the level of REL in Fujian Province has been relatively flat over the past five years, with a slight downward trend. The overall value of the rural ecological livability index in 2015 was 0.345, and its overall value in 2019 was 0.334, with an average value of 0.343. The REL of Fujian Province is spatially correlated, with high levels of livability in the southeast and low levels in the northeast. The autocorrelation in the level of ecological livability in Fujian's counties and cities continues to increase.
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spelling pubmed-77716732021-01-08 Spatial heterogeneity in and distributional characteristics of rural ecological livability in China——The case of Fujian Province Jiang, Xiaoli Wang, Lingyu Su, Xiaofeng Zeng, Weipeng Xu, Anxin Zheng, Qiujin Xu, Wenxing PLoS One Research Article With the outbreak of COVID-19, the importance of rural areas has been gradually highlighted, and the importance of rural ecological livability has been gradually recognized. A growing body of literature recognizes the importance of building a rural ecological livability (REL) system. It is urgent that we clarify the status quo and spatial-temporal differences in and distributional characteristics of rural ecological livability and that we carry out targeted and differentiated construction to promote rural ecological livability in post-epidemic China. This study proposes a conceptual model that incorporates various economic, social and environmental factors and develops a comprehensive multifactor (production-living-ecology) evaluation system. Using Fujian Province as an example, the entropy weight method is used to measure the REL level of 55 counties and cities, which are comprehensively evaluated from 2015 to 2019. Moran's I and Getis-Ord Gi* are used to analyze the spatial and distributional characteristics of the REL level in Fujian. The results show that the level of REL in Fujian Province has been relatively flat over the past five years, with a slight downward trend. The overall value of the rural ecological livability index in 2015 was 0.345, and its overall value in 2019 was 0.334, with an average value of 0.343. The REL of Fujian Province is spatially correlated, with high levels of livability in the southeast and low levels in the northeast. The autocorrelation in the level of ecological livability in Fujian's counties and cities continues to increase. Public Library of Science 2020-12-29 /pmc/articles/PMC7771673/ /pubmed/33373372 http://dx.doi.org/10.1371/journal.pone.0244238 Text en © 2020 Jiang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jiang, Xiaoli
Wang, Lingyu
Su, Xiaofeng
Zeng, Weipeng
Xu, Anxin
Zheng, Qiujin
Xu, Wenxing
Spatial heterogeneity in and distributional characteristics of rural ecological livability in China——The case of Fujian Province
title Spatial heterogeneity in and distributional characteristics of rural ecological livability in China——The case of Fujian Province
title_full Spatial heterogeneity in and distributional characteristics of rural ecological livability in China——The case of Fujian Province
title_fullStr Spatial heterogeneity in and distributional characteristics of rural ecological livability in China——The case of Fujian Province
title_full_unstemmed Spatial heterogeneity in and distributional characteristics of rural ecological livability in China——The case of Fujian Province
title_short Spatial heterogeneity in and distributional characteristics of rural ecological livability in China——The case of Fujian Province
title_sort spatial heterogeneity in and distributional characteristics of rural ecological livability in china——the case of fujian province
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771673/
https://www.ncbi.nlm.nih.gov/pubmed/33373372
http://dx.doi.org/10.1371/journal.pone.0244238
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