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Coupling analysis of population aging and economic growth with spatial-temporal variation: a case study in China
BACKGROUND: China now faces an increasingly aging society which may exert economic pressure in the long run. This study illustrates the spatial pattern and evolution of population aging and economic development in China. The coupling coordination degree of population aging and economic development a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375384/ https://www.ncbi.nlm.nih.gov/pubmed/35964119 http://dx.doi.org/10.1186/s12939-022-01711-7 |
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author | Wang, Shaobin Ren, Zhoupeng Xiao, Zhuoyao Wang, Na Yang, Hao Pu, Haixia |
author_facet | Wang, Shaobin Ren, Zhoupeng Xiao, Zhuoyao Wang, Na Yang, Hao Pu, Haixia |
author_sort | Wang, Shaobin |
collection | PubMed |
description | BACKGROUND: China now faces an increasingly aging society which may exert economic pressure in the long run. This study illustrates the spatial pattern and evolution of population aging and economic development in China. The coupling coordination degree of population aging and economic development at the national and provincial levels are calculated and demonstrated, and the spatial patterns and characteristics are investigated. METHODS: This paper presents a coupling analysis of the elderly population rate (EPR) and per capita Gross Regional Product (GRP(pc)) in China by using the coupling and coordination model. Further, the spatial pattern and evolution of population aging and economic development are investigated based on the standard deviational ellipse. The collected data is at the level of provincial administrative units in mainland China covering the period 2002 to 2020. RESULTS: The results reveal the spatial difference in the coupling and coordination degree between EPR and GRP(pc) across provinces. The eastern coastal areas are higher than the central and western regions of China. The orientation and directions of EPR are more than GRP(pc), indicating that the polarization in population aging is more severe than economic development. Significant positive correlations between coupling coordination degree and sustainable competitiveness are detected. CONCLUSIONS: Policymakers should fully consider regional differences and sustainable development in policy formulation of China. The western and northeastern provinces should be given priority in the regional sustainable development plan. At the same time, the coordination between population aging and economic development also requires to be examined especially. |
format | Online Article Text |
id | pubmed-9375384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93753842022-08-14 Coupling analysis of population aging and economic growth with spatial-temporal variation: a case study in China Wang, Shaobin Ren, Zhoupeng Xiao, Zhuoyao Wang, Na Yang, Hao Pu, Haixia Int J Equity Health Research BACKGROUND: China now faces an increasingly aging society which may exert economic pressure in the long run. This study illustrates the spatial pattern and evolution of population aging and economic development in China. The coupling coordination degree of population aging and economic development at the national and provincial levels are calculated and demonstrated, and the spatial patterns and characteristics are investigated. METHODS: This paper presents a coupling analysis of the elderly population rate (EPR) and per capita Gross Regional Product (GRP(pc)) in China by using the coupling and coordination model. Further, the spatial pattern and evolution of population aging and economic development are investigated based on the standard deviational ellipse. The collected data is at the level of provincial administrative units in mainland China covering the period 2002 to 2020. RESULTS: The results reveal the spatial difference in the coupling and coordination degree between EPR and GRP(pc) across provinces. The eastern coastal areas are higher than the central and western regions of China. The orientation and directions of EPR are more than GRP(pc), indicating that the polarization in population aging is more severe than economic development. Significant positive correlations between coupling coordination degree and sustainable competitiveness are detected. CONCLUSIONS: Policymakers should fully consider regional differences and sustainable development in policy formulation of China. The western and northeastern provinces should be given priority in the regional sustainable development plan. At the same time, the coordination between population aging and economic development also requires to be examined especially. BioMed Central 2022-08-13 /pmc/articles/PMC9375384/ /pubmed/35964119 http://dx.doi.org/10.1186/s12939-022-01711-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Shaobin Ren, Zhoupeng Xiao, Zhuoyao Wang, Na Yang, Hao Pu, Haixia Coupling analysis of population aging and economic growth with spatial-temporal variation: a case study in China |
title | Coupling analysis of population aging and economic growth with spatial-temporal variation: a case study in China |
title_full | Coupling analysis of population aging and economic growth with spatial-temporal variation: a case study in China |
title_fullStr | Coupling analysis of population aging and economic growth with spatial-temporal variation: a case study in China |
title_full_unstemmed | Coupling analysis of population aging and economic growth with spatial-temporal variation: a case study in China |
title_short | Coupling analysis of population aging and economic growth with spatial-temporal variation: a case study in China |
title_sort | coupling analysis of population aging and economic growth with spatial-temporal variation: a case study in china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375384/ https://www.ncbi.nlm.nih.gov/pubmed/35964119 http://dx.doi.org/10.1186/s12939-022-01711-7 |
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