Spatial-temporal patterns and influencing factors of population aging in China from 2000 to 2020
Based on the data of three population censuses in 2000,2010 and 2020,the spatio-temporal pattern,regional differences and influencing factors of population aging in cities at and above the prefecture level in China are analyzed by using exponential growth and Tobit Regres-sion Model.The results show that:①The spatial distribution of population aging in China is clearly divided by the"Hu line",and the degree of aging in the northwest half of the"Hu line"is significantly lower than that in the southeast half;②The young type and adult type areas contin-ue to decrease,and the elderly type area shows a large spatial expansion.Among them,the"core periphery"distribution characteristics of the elderly type Ⅱ are obvious,and the elderly type Ⅲpresents a near L-shaped structure;③There are significant spatial differences in the speed of ag-ing.From 2000 to 2010,the rapid aging areas were mainly distributed in Xinjiang,Inner Mongo-lia,Gansu,Heilongjiang,Sichuan and other provinces,while from 2010 to 2020,they were main-ly distributed in Heilongjiang,Jilin,Liaoning,Gansu,Inner Mongolia and other provinces;④ In the past 20 years,the aging degree of resource-based cities and provincial capital cities is gradu-ally higher than that of non-resource-based and non-provincial capital cities;⑤The age structure of the population in the base period is the dominant factor affecting population aging.Economic factors have a two-way impact on population aging.Topographic relief,net migration rate,natu-ral growth rate and other factors are negatively correlated with the aging rate.
population agingurban scalespatiotemporal differentiationChina
NETL
NSTL
万方数据
