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Spatial Differences in China’s Population Aging and Influencing Factors: The Perspectives of Spatial Dependence and Spatial Heterogeneity

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  • Yuanyuan Wu

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Yuxiang Song

    (School of Geographical Sciences, Northeast Normal University, Changchun 130024, China)

  • Tingting Yu

    (School of Tourism Management, Sun Yat-sen University, Zhuhai 519000, China)

Abstract

Since China became an aging society in 2000, the regional inequality of population aging has been highlighted, and the phenomenon of “aging before getting rich” has gradually become a core issue in China’s coordinated socioeconomic development. This paper aims to comprehensively assess the spatial differences and driving forces of China’s population aging through two-stage nested Theil decomposition, ESDA, and spatial econometric models. Empirical results show that spatial differences in population aging were evident at different spatial scales, and the distribution gradually decreased from east to west, showing a positive spatial correlation of similar value aggregation. Moreover, China’s population aging was determined by the demographic, socioeconomic, and natural environment, and there are different leading factors in different regions. The demographic aspects played a decisive role and had a direct influence, while the socioeconomic and natural environment indirectly affected population aging through demographic factors and became the root cause of regional differences in population aging. These findings provide an empirical basis for establishing a cooperative mechanism and formulating a targeted response to the problem of population aging in various regions in China.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:5959-:d:280424
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    1. Oded Galor, 2010. "The Demographic Transition: Causes and Consequences," Working Papers 2010-12, Brown University, Department of Economics.
    2. Luc Anselin & Sanjeev Sridharan & Susan Gholston, 2007. "Using Exploratory Spatial Data Analysis to Leverage Social Indicator Databases: The Discovery of Interesting Patterns," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(2), pages 287-309, June.
    3. 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.
    4. Oded Galor, 2012. "The demographic transition: causes and consequences," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 6(1), pages 1-28, January.
    5. Wolfgang Lutz & Warren Sanderson & Sergei Scherbov, 2008. "The coming acceleration of global population ageing," Nature, Nature, vol. 451(7179), pages 716-719, February.
    6. Shiro Horiuchi & John Wilmoth, 1998. "Deceleration in the age pattern of mortality at olderages," Demography, Springer;Population Association of America (PAA), vol. 35(4), pages 391-412, November.
    7. Judith Banister & David E. Bloom & Larry Rosenberg, 2012. "Population Aging and Economic Growth in China," International Economic Association Series, in: Masahiko Aoki & Jinglian Wu (ed.), The Chinese Economy, chapter 6, pages 114-149, Palgrave Macmillan.
    8. Ron Lesthaeghe, 2010. "The Unfolding Story of the Second Demographic Transition," Population and Development Review, The Population Council, Inc., vol. 36(2), pages 211-251, June.
    9. Dusan Paredes & Victor Iturra & Marcelo Lufin, 2016. "A Spatial Decomposition of Income Inequality in Chile," Regional Studies, Taylor & Francis Journals, vol. 50(5), pages 771-789, May.
    10. Yang Cheng & Siyao Gao & Shuai Li & Yuchao Zhang & Mark Rosenberg, 2019. "Understanding the spatial disparities and vulnerability of population aging in China," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 6(1), pages 73-89, January.
    11. James P. LeSage & R. Kelley Pace, 2008. "Spatial Econometric Modeling Of Origin‐Destination Flows," Journal of Regional Science, Wiley Blackwell, vol. 48(5), pages 941-967, December.
    12. Takahiro Akita, 2003. "Decomposing regional income inequality in China and Indonesia using two-stage nested Theil decomposition method," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(1), pages 55-77, February.
    13. Siti Nuryanah & Sardar M. N. Islam, 2015. "The Context of the Case Study," Palgrave Macmillan Books, in: Corporate Governance and Financial Management, chapter 5, pages 145-156, Palgrave Macmillan.
    14. 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.
    15. Nan Li & Ronald Lee & Patrick Gerland, 2013. "Extending the Lee-Carter Method to Model the Rotation of Age Patterns of Mortality Decline for Long-Term Projections," Demography, Springer;Population Association of America (PAA), vol. 50(6), pages 2037-2051, December.
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    8. Justyna Rój & Maciej Jankowiak, 2021. "Socioeconomic Determinants of Health and Their Unequal Distribution in Poland," IJERPH, MDPI, vol. 18(20), pages 1-20, October.
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