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Understanding the spatial disparities and vulnerability of population aging in China

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  • Yang Cheng, Siyao Gao, Shuai Li, Yuchao Zhang and Mark Rosenberg

Abstract

Understanding the regional pattern of population aging in China enables rational policy making to address the challenges of inequity in social welfare and care resources among the east–central–west regions and rural–urban areas of China. This study uses census data in 2000 and 2010, and aging population ratios, annual increase rates, and spatial autocorrelation analysis to examine spatial disparities in population aging in China. The results show that the population is more aged and aging more rapidly in rural areas than in urban areas. Spatial clusters of population aging expanded from the east coastal region in 2000, to inland provinces such as Sichuan and Chongqing in 2010. The vulnerable regions in terms of population aging, health status of the elderly population, and economic level at the prefectural level were also identified.

Suggested Citation

  • Yang Cheng, Siyao Gao, Shuai Li, Yuchao Zhang and Mark Rosenberg, 2019. "Understanding the spatial disparities and vulnerability of population aging in China," Asia and the Pacific Policy Studies 201905, Crawford School of Public Policy, The Australian National University.
    • Handle: RePEc:een:appswp:201905
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    Cited by:

    1. Shenghua Zhou & S. Thomas Ng & Dezhi Li & Jiankun Zhang & Jie Fan & Yifan Yang, 2019. "Characterizing Stakeholders of Aging-in-Place through Social Network Analysis: A Study of Nanjing, China," Sustainability, MDPI, vol. 11(23), pages 1-19, November.
    2. Liping Fu & Yuhui Wang & Lanping He, 2020. "Factors Associated with the Psychological Health of Caregiving Older Parents and Support from Their Grown Children: Results from the China Health and Retirement Longitudinal Study," IJERPH, MDPI, vol. 17(2), pages 1-11, January.
    3. Hao Zhu, 2022. "Spatial Matching and Policy-Planning Evaluation of Urban Elderly Care Facilities Based on Multi-Agent Simulation: Evidence from Shanghai, China," Sustainability, MDPI, vol. 14(23), pages 1-20, December.
    4. Jiajing Li & Yanran Huang & Stephen Nicholas & Jian Wang, 2019. "China’s New Cooperative Medical Scheme’s Impact on the Medical Expenses of Elderly Rural Migrants," IJERPH, MDPI, vol. 16(24), pages 1-11, December.
    5. Andrea Čajková & Peter Čajka, 2021. "Challenges and Sustainability of China’s Socio-Economic Stability in the Context of Its Demographic Development," Societies, MDPI, vol. 11(1), pages 1-20, March.
    6. Shuo Ding, 2023. "Vulnerability to Poverty in Chinese Households with Elderly Members: 2013–2018," Sustainability, MDPI, vol. 15(6), pages 1-30, March.
    7. Changyong Yang & Jianyuan Huang & Jiahao Yu, 2023. "Inequalities in Resource Distribution and Healthcare Service Utilization of Long-Term Care in China," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    8. 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.
    9. Shan Lu & Yupan Wu & Zongfu Mao & Xiaohui Liang, 2020. "Association of Formal and Informal Social Support With Health-Related Quality of Life Among Chinese Rural Elders," IJERPH, MDPI, vol. 17(4), pages 1-14, February.
    10. Xiaoran Huang & Pixin Gong & Marcus White, 2022. "Study on Spatial Distribution Equilibrium of Elderly Care Facilities in Downtown Shanghai," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
    11. Zhenjiang Song & Baoshu Wu & Yue Huang & Shubin Zhu & Lan Gao & Yi Li, 2022. "Effects of Household Resource Utilization Behaviors on Giant Panda Habitat under the Background of Aging: Evidence from Sichuan Province," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    12. Yonghe Xiao & Jingxuan Li, 2022. "RETRACTED ARTICLE: A conversational analysis of aging in China from a cross-section of the labour market: a corpus-based study," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-7, December.

    More about this item

    Keywords

    China; population aging; rural and urban areas; spatial disparities; vulnerable regions;
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