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Alike but also different: a spatiotemporal analysis of the older populations in Zhejiang and Jilin provinces, China

According to the 7(th) National Population Census, China is experiencing rapid growth of its ageing population, with large spatial disparities in the distribution of older folks in different regions. And yet, scant comparative research has been conducted on the two regions of Zhejiang and Jilin in p...

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Autores principales: Jiang, Lei, Chen, Xingyu, Liang, Wenjie, Zhang, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416386/
https://www.ncbi.nlm.nih.gov/pubmed/37568136
http://dx.doi.org/10.1186/s12889-023-16433-w
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author Jiang, Lei
Chen, Xingyu
Liang, Wenjie
Zhang, Bo
author_facet Jiang, Lei
Chen, Xingyu
Liang, Wenjie
Zhang, Bo
author_sort Jiang, Lei
collection PubMed
description According to the 7(th) National Population Census, China is experiencing rapid growth of its ageing population, with large spatial disparities in the distribution of older folks in different regions. And yet, scant comparative research has been conducted on the two regions of Zhejiang and Jilin in particular, which differ considerably in economic development but witness nearly the same ageing trend. In response, this article compares Zhejiang, an advanced economic province, with Jilin, with its relatively low level of economic development, to explore the ageing issue and analyse the spatial correlation between older populations and socioeconomic factors. Using the spatiotemporal data analysis and geographical detector approaches, we obtain three significant findings: 1. both provinces have maintained steady rates of increase in ageing; 2. the older populations in Zhejiang and Jilin are mostly concentrated in the provincial capitals and nearby cities with reasonably established economies; and 3. the factors, including local fiscal expenditures, beds in hospitals and nursing homes, and coverage of social security, show a highly similar spatial pattern between older populations in Zhejiang and Jilin. The q-values of all the selected socioeconomic factors in Jilin showed a growth trend, indicating that the spatial correlation between these factors and ageing is strengthening year on year, that is, the resources gained from the socioeconomic development of Jilin have shifted steadily toward old-age services. As a consequence, a vicious circle of the slowing down of the economic growth drives away working forces and quickens the pace of population ageing, is present. From a policy perspective, Jilin province is strongly dependent on state-owned enterprises characterised by institutional rigidity, an inflexible market economy and an under-developed private sector, all of which are profoundly influenced by ageing. The consequence is large population outflows of young people. In contrast, the economy of Zhejiang province is partially decoupled from the ageing trend, so the gap in level of development between its counties has been narrowing. The policy implication here is that Zhejiang represents an active private economy that has coped successfully with ageing by attracting young migrants and developing new forms of development, such as the digital economy.
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spelling pubmed-104163862023-08-12 Alike but also different: a spatiotemporal analysis of the older populations in Zhejiang and Jilin provinces, China Jiang, Lei Chen, Xingyu Liang, Wenjie Zhang, Bo BMC Public Health Research According to the 7(th) National Population Census, China is experiencing rapid growth of its ageing population, with large spatial disparities in the distribution of older folks in different regions. And yet, scant comparative research has been conducted on the two regions of Zhejiang and Jilin in particular, which differ considerably in economic development but witness nearly the same ageing trend. In response, this article compares Zhejiang, an advanced economic province, with Jilin, with its relatively low level of economic development, to explore the ageing issue and analyse the spatial correlation between older populations and socioeconomic factors. Using the spatiotemporal data analysis and geographical detector approaches, we obtain three significant findings: 1. both provinces have maintained steady rates of increase in ageing; 2. the older populations in Zhejiang and Jilin are mostly concentrated in the provincial capitals and nearby cities with reasonably established economies; and 3. the factors, including local fiscal expenditures, beds in hospitals and nursing homes, and coverage of social security, show a highly similar spatial pattern between older populations in Zhejiang and Jilin. The q-values of all the selected socioeconomic factors in Jilin showed a growth trend, indicating that the spatial correlation between these factors and ageing is strengthening year on year, that is, the resources gained from the socioeconomic development of Jilin have shifted steadily toward old-age services. As a consequence, a vicious circle of the slowing down of the economic growth drives away working forces and quickens the pace of population ageing, is present. From a policy perspective, Jilin province is strongly dependent on state-owned enterprises characterised by institutional rigidity, an inflexible market economy and an under-developed private sector, all of which are profoundly influenced by ageing. The consequence is large population outflows of young people. In contrast, the economy of Zhejiang province is partially decoupled from the ageing trend, so the gap in level of development between its counties has been narrowing. The policy implication here is that Zhejiang represents an active private economy that has coped successfully with ageing by attracting young migrants and developing new forms of development, such as the digital economy. BioMed Central 2023-08-11 /pmc/articles/PMC10416386/ /pubmed/37568136 http://dx.doi.org/10.1186/s12889-023-16433-w 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 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
Jiang, Lei
Chen, Xingyu
Liang, Wenjie
Zhang, Bo
Alike but also different: a spatiotemporal analysis of the older populations in Zhejiang and Jilin provinces, China
title Alike but also different: a spatiotemporal analysis of the older populations in Zhejiang and Jilin provinces, China
title_full Alike but also different: a spatiotemporal analysis of the older populations in Zhejiang and Jilin provinces, China
title_fullStr Alike but also different: a spatiotemporal analysis of the older populations in Zhejiang and Jilin provinces, China
title_full_unstemmed Alike but also different: a spatiotemporal analysis of the older populations in Zhejiang and Jilin provinces, China
title_short Alike but also different: a spatiotemporal analysis of the older populations in Zhejiang and Jilin provinces, China
title_sort alike but also different: a spatiotemporal analysis of the older populations in zhejiang and jilin provinces, china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416386/
https://www.ncbi.nlm.nih.gov/pubmed/37568136
http://dx.doi.org/10.1186/s12889-023-16433-w
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