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Difference analysis of regional population ageing from temporal and spatial perspectives: a case study in China

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  • Yuan Chen
  • Ahmed Bouferguene
  • Yinghua Shen
  • Mohamed Al-Hussein

Abstract

The ageing coefficient is selected as the index to evaluate population ageing, and some methods are proposed for analyzing differences in regional population ageing from temporal and spatial perspectives. China is used as the case study over the period 1998–2014. The concentration degree of the elderly varies regionally, but fluctuations in regional population ageing remain relatively stable. The coefficient of variation of population ageing fluctuates with an overall decreasing tendency. Population ageing in China exhibits a ladder-like distribution different from the distribution corresponding to economic strength. Spatial autocorrelation in population ageing is observed, with a comparatively steady spatial pattern.

Suggested Citation

  • Yuan Chen & Ahmed Bouferguene & Yinghua Shen & Mohamed Al-Hussein, 2019. "Difference analysis of regional population ageing from temporal and spatial perspectives: a case study in China," Regional Studies, Taylor & Francis Journals, vol. 53(6), pages 849-860, June.
    • Handle: RePEc:taf:regstd:v:53:y:2019:i:6:p:849-860
    DOI: 10.1080/00343404.2018.1492110
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    Cited by:

    1. Cunwei Yang & Weiqing Wang & Fengying Li & Degang Yang, 2022. "A Sustainable, Interactive Elderly Healthcare System for Nursing Homes: An Interdisciplinary Design," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    2. Ji, Wei & Huang, Zhengfeng & Gao, Gao & Zheng, Pengjun, 2024. "Evaluation of integrated transport efficiency and equity at the county level——taking the counties in ningbo city as an example," Transport Policy, Elsevier, vol. 148(C), pages 257-272.
    3. Chengmin Zhou & Ting Huang & Xin Luo & Jake Kaner & Xiaoman Fu, 2022. "Recognition and Analysis of an Age-Friendly Intelligent Sofa Design Based on Skeletal Key-Points," IJERPH, MDPI, vol. 19(18), pages 1-21, September.
    4. Weisong Mi & Kaixu Zhao & Pei Zhang, 2022. "Spatio-Temporal Evolution and Driving Mechanism of Green Innovation in China," Sustainability, MDPI, vol. 14(9), pages 1-27, April.

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