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The spatiality and driving forces of population ageing in China

Studying the spatial characteristics of China’s ageing and its influencing factors is of great practical significance because China has the largest elderly population in the world. Using 2000 and 2010 census data, this study explores the degree, pace, and pattern of population ageing and its driving...

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Detalles Bibliográficos
Autores principales: Wu, Lianxia, Huang, Zuyu, Pan, Zehan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799793/
https://www.ncbi.nlm.nih.gov/pubmed/33428682
http://dx.doi.org/10.1371/journal.pone.0243559
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author Wu, Lianxia
Huang, Zuyu
Pan, Zehan
author_facet Wu, Lianxia
Huang, Zuyu
Pan, Zehan
author_sort Wu, Lianxia
collection PubMed
description Studying the spatial characteristics of China’s ageing and its influencing factors is of great practical significance because China has the largest elderly population in the world. Using 2000 and 2010 census data, this study explores the degree, pace, and pattern of population ageing and its driving mechanism using exploratory spatial data analysis and the geographically weighed regression model. Between 2000 and 2010, population ageing increased rapidly countrywide; yet, spatial differences between eastern and western China narrowed. The degree of provincial population ageing and its spatiality were determined by natural population growth, migration, and local economic development. Life expectancy and mortality were the primary long-term factors, and GDP per capita was the prime contributor in the early days of economic development; the migration rate was the dominant influence after 2010. China’s overall spatial differentiation of population ageing shifted from a north–south to an east–west division.
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spelling pubmed-77997932021-01-22 The spatiality and driving forces of population ageing in China Wu, Lianxia Huang, Zuyu Pan, Zehan PLoS One Research Article Studying the spatial characteristics of China’s ageing and its influencing factors is of great practical significance because China has the largest elderly population in the world. Using 2000 and 2010 census data, this study explores the degree, pace, and pattern of population ageing and its driving mechanism using exploratory spatial data analysis and the geographically weighed regression model. Between 2000 and 2010, population ageing increased rapidly countrywide; yet, spatial differences between eastern and western China narrowed. The degree of provincial population ageing and its spatiality were determined by natural population growth, migration, and local economic development. Life expectancy and mortality were the primary long-term factors, and GDP per capita was the prime contributor in the early days of economic development; the migration rate was the dominant influence after 2010. China’s overall spatial differentiation of population ageing shifted from a north–south to an east–west division. Public Library of Science 2021-01-11 /pmc/articles/PMC7799793/ /pubmed/33428682 http://dx.doi.org/10.1371/journal.pone.0243559 Text en © 2021 Wu 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
Wu, Lianxia
Huang, Zuyu
Pan, Zehan
The spatiality and driving forces of population ageing in China
title The spatiality and driving forces of population ageing in China
title_full The spatiality and driving forces of population ageing in China
title_fullStr The spatiality and driving forces of population ageing in China
title_full_unstemmed The spatiality and driving forces of population ageing in China
title_short The spatiality and driving forces of population ageing in China
title_sort spatiality and driving forces of population ageing in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7799793/
https://www.ncbi.nlm.nih.gov/pubmed/33428682
http://dx.doi.org/10.1371/journal.pone.0243559
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