Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis

Longevity is a near-universal human aspiration that can affect moral progress and economic development at the social level. In rapidly developing China, questions about the geographical distribution and environmental factors of longevity phenomenon need to be answered more clearly. This study calcu...

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Main Authors:	Renfei Yang, Fu Ren, Xiangyuan Ma, Hongwei Zhang, Wenxuan Xu, Peng Jia
Format:	article
Language:	EN
Published:	PAGEPress Publications 2021
Subjects:	Longevity geographical environmental factors county level multi-scale geographically weighted regression influence scale China. Geography (General) G1-922
Online Access:	https://doaj.org/article/be00d76c4fea408281d0c72c233af00b
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spelling	oai:doaj.org-article:be00d76c4fea408281d0c72c233af00b2021-11-12T09:18:15ZExplaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis10.4081/gh.2021.10241827-19871970-7096https://doaj.org/article/be00d76c4fea408281d0c72c233af00b2021-11-01T00:00:00Zhttps://geospatialhealth.net/index.php/gh/article/view/1024https://doaj.org/toc/1827-1987https://doaj.org/toc/1970-7096 Longevity is a near-universal human aspiration that can affect moral progress and economic development at the social level. In rapidly developing China, questions about the geographical distribution and environmental factors of longevity phenomenon need to be answered more clearly. This study calculated the longevity index (LI), longevity index for females (LIF) and longevity index for males (LIM) based on the percentage of the long-lived population among the total number of elderly people to investigate regional and gender characteristics at the county level in China. A new multi-scale geographically weighted regression (MGWR) model and four possible geographical environmental factors were applied to explore environmental effects. The results indicate that the LIs of 2838 counties ranged from 1.3% to 16.3%, and the distribution showed obvious regional and gender differences. In general, the LI was high in the East and low in the West, and the LIF was higher than the LIM in 2614 counties (92.1%). The MGWR model performed well explaining that geographical environmental factors, including topographic features, vegetation conditions, human social activity and air pollution factors have a variable influence on longevity at different spatial scales and in different regions. These findings enrich our understanding of the spatial distribution, gender differences and geographical environmental effects on longevity in China, which provides an important reference for people interested in the variations in the associations between different geographical factors. Renfei YangFu RenXiangyuan MaHongwei ZhangWenxuan XuPeng JiaPAGEPress PublicationsarticleLongevitygeographical environmental factorscounty levelmulti-scale geographically weighted regressioninfluence scaleChina.Geography (General)G1-922ENGeospatial Health, Vol 16, Iss 2 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Longevity geographical environmental factors county level multi-scale geographically weighted regression influence scale China. Geography (General) G1-922
spellingShingle	Longevity geographical environmental factors county level multi-scale geographically weighted regression influence scale China. Geography (General) G1-922 Renfei Yang Fu Ren Xiangyuan Ma Hongwei Zhang Wenxuan Xu Peng Jia Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis
description	Longevity is a near-universal human aspiration that can affect moral progress and economic development at the social level. In rapidly developing China, questions about the geographical distribution and environmental factors of longevity phenomenon need to be answered more clearly. This study calculated the longevity index (LI), longevity index for females (LIF) and longevity index for males (LIM) based on the percentage of the long-lived population among the total number of elderly people to investigate regional and gender characteristics at the county level in China. A new multi-scale geographically weighted regression (MGWR) model and four possible geographical environmental factors were applied to explore environmental effects. The results indicate that the LIs of 2838 counties ranged from 1.3% to 16.3%, and the distribution showed obvious regional and gender differences. In general, the LI was high in the East and low in the West, and the LIF was higher than the LIM in 2614 counties (92.1%). The MGWR model performed well explaining that geographical environmental factors, including topographic features, vegetation conditions, human social activity and air pollution factors have a variable influence on longevity at different spatial scales and in different regions. These findings enrich our understanding of the spatial distribution, gender differences and geographical environmental effects on longevity in China, which provides an important reference for people interested in the variations in the associations between different geographical factors.
format	article
author	Renfei Yang Fu Ren Xiangyuan Ma Hongwei Zhang Wenxuan Xu Peng Jia
author_facet	Renfei Yang Fu Ren Xiangyuan Ma Hongwei Zhang Wenxuan Xu Peng Jia
author_sort	Renfei Yang
title	Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis
title_short	Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis
title_full	Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis
title_fullStr	Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis
title_full_unstemmed	Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis
title_sort	explaining the longevity characteristics in china from a geographical perspective: a multi-scale geographically weighted regression analysis
publisher	PAGEPress Publications
publishDate	2021
url	https://doaj.org/article/be00d76c4fea408281d0c72c233af00b
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Explaining the longevity characteristics in China from a geographical perspective: A multi-scale geographically weighted regression analysis

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