Spatial-temporal Evolution and Influencing Factors of Urban Population Aging in China: Based on National Population Census Data
Based on the urban data from the fifth, sixth, and seventh national population censuses, the Mo-ran's Ⅰ, Dagum Gini coefficient, and decomposition, as well as the spatial econometric regression model were used to analyze the spatiotemporal evolution and influencing factors of urban population aging in China. The results show that the aging of urban population in China has been accelerating and deepening from 2000 to 2020 , but the speed of deepening varies in different regions. Urban population aging in China mainly shows the spatial distribution char-acteristics of similar types of agglomeration. Among them, the cities with low-low agglomeration are mainly located in the Qinghai-Tibet Plateau and its surrounding areas, as well as Guangdong Province, while most cities with high-high agglomeration except for some cities in Chengdu-Chongqing areas and Jiangsu Province have undergone transi-tions during this period. The overall difference in urban population aging in China has expanded during this period, in which the changes in intra-regional differences vary, while the inter-regional differences have expanded obvious-ly. The overall difference and its changes are mainly due to the greater impact of inter-regional differences. In 2010 , the aging of urban population in China is mainly affected by the inertia of the elderly population and popula-tion migration. In 2020, in addition to further strengthening the impact of above two factors, population density, previous population fertility rate, and the proportion of women of childbearing age have also become important cau-ses of the spatial differentiation of population aging in China.
population agingspatial-temporal evolutioninfluencing factorsnational population census
NETL
NSTL
万方数据
