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- W2393886484 abstract "This paper uses the method of Q-mode hierarchical cluster analysis on five population aging related variables in 2011,2010 and 2000,such as aged-child ratio,annual net growth rate of population and so on. Then we apply a principal component regression model with aged-child ratio as the dependent variable in 2011. The results show that each region can be divided into four categories according to the aging characteristics;the main influencing factors on aging are development levels of different areas,household living standard, and gender. It is concluded that some developed areas with rapid population growth continue to age,and the aging problem is being aggravated in less developed areas with huge outflow population." @default.
- W2393886484 created "2016-06-24" @default.
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- W2393886484 date "2014-01-01" @default.
- W2393886484 modified "2023-09-23" @default.
- W2393886484 title "Cluster Analysis and Factor Analysis on Population Aging in China" @default.
- W2393886484 hasPublicationYear "2014" @default.
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