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Mapping spatial variation of population aging in China's mega cities

Author

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  • Bo Xie
  • Jie Zhou
  • Xiao Luo

Abstract

Based on the statistics of the fifth and sixth censuses in China, this paper, which focuses on the spatial distribution characteristics of aging population in China's mega cities, examines the distribution of aging in Beijing, Shanghai, Guangzhou, and Wuhan. In this paper, an Aging Degree Index and an Aging Population Mean Center have been used to analyze the spatial distribution characteristics and spatial variation trends of aging population in mega cities. According to the research, the spatial distribution of aging population shows a faster development tendency of suburbanization from two different perspectives: one tendency is centrifugal spread associated with seniors who are moving from the city center to outer suburb areas, and the other is center concentration where the seniors who lived in the outer suburb areas are moving towards the city center.

Suggested Citation

  • Bo Xie & Jie Zhou & Xiao Luo, 2016. "Mapping spatial variation of population aging in China's mega cities," Journal of Maps, Taylor & Francis Journals, vol. 12(1), pages 181-192, January.
  • Handle: RePEc:taf:tjomxx:v:12:y:2016:i:1:p:181-192
    DOI: 10.1080/17445647.2014.1000984
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    Cited by:

    1. Yuanyuan Wu & Yuxiang Song & Tingting Yu, 2019. "Spatial Differences in China’s Population Aging and Influencing Factors: The Perspectives of Spatial Dependence and Spatial Heterogeneity," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    2. Lei Jiang & Xingyu Chen & Yang Jiang & Bo Zhang, 2023. "Exploring the Direct and Spillover Effects of Aging on Green Total Factor Productivity in China: A Spatial Econometric Approach," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    3. Xin Xu & Yuan Zhao & Xinlin Zhang & Siyou Xia, 2018. "Identifying the Impacts of Social, Economic, and Environmental Factors on Population Aging in the Yangtze River Delta Using the Geographical Detector Technique," Sustainability, MDPI, vol. 10(5), pages 1-15, May.

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