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      Aging in China: An International and Domestic Comparative Study

      , , , ,
      Sustainability
      MDPI AG

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          Abstract

          This study investigates the age structure and aging process in China over the last two decades. Comparing internationally, we find that China’s aging status is currently moderate. However, its aging process is accelerating at a rate faster than that of developed countries and the other BRICS countries, but slower than other East Asian countries except for North Korea and Mongolia. Domestically, we find increasing divergence and spatial variations in the aging process across regions and between rural and urban sectors by applying spatial statistic comparisons using data from the China Statistical Yearbook. Results from the spatial econometrics model suggest that factors such as urbanization and regional GDP, but not population density, could deepen the urban–rural aging gap. The transition of the aging process over time, across regions, and between sectors could influence social and economic activity. The results can guide future research on aging in China.

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          Most cited references20

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          The Contiguity Ratio and Statistical Mapping

          R C GEARY (1954)
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            Economic and social implications of aging societies.

            The challenge of global population aging has been brought into sharper focus by the financial crisis of 2008. In particular, growing national debt has drawn government attention to two apparently conflicting priorities: the need to sustain public spending on pensions and health care versus the need to reduce budget deficits. A number of countries are consequently reconsidering their pension and health care provisions, which account for up to 40% of all government spending in advanced economies. Yet population aging is a global phenomenon that will continue to affect all regions of the world. By 2050 there will be the same number of old as young in the world, with 2 billion people aged 60 or over and another 2 billion under age 15, each group accounting for 21% of the world's population.
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              SPATIAL AUTOCORRELATION AND AUTOREGRESSIVE MODELS IN ECOLOGY

                Author and article information

                Journal
                SUSTDE
                Sustainability
                Sustainability
                MDPI AG
                2071-1050
                June 2020
                June 22 2020
                : 12
                : 12
                : 5086
                Article
                10.3390/su12125086
                aba37ee3-38a1-40f2-83d1-12c5278eb229
                © 2020

                https://creativecommons.org/licenses/by/4.0/

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