Based on the 5th,6th,and 7th population census data,taking Guangxi's population aged 65 and above as the main re-search object,the static indicators(construction of a comprehensive aging index composed of the number,proportion,and density of the elderly population)and dynamic indicators(changes in the number of elderly and non-elderly populations)were comprehensively ap-plied to analyze the characteristics of the temporal and spatial evolution of the population aging in Guangxi from 2000 to 2020 by adop-ting spatial autocorrelation and cold hotspot analysis,as well as to classify the types of population aging.The study showed that:①The degree of population aging in Guangxi was deepening,and the degree of aging was most serious in the northern part of Gui.②The aging agglomeration effect was rapidly increasing,but there were significant regional differences,and the agglomeration trend had obvious di-rectionality,showing a distribution pattern of"high in the north and low in the south".③ This paper comprehensively used dynamic and static indicators to classify 111 counties in Guangxi into five types of aging:Residual aging,agglomerated aging,natural aging,diluted aging,and agglomerated dilution,and summarized and analyzed each type.On the above,this paper put forward corresponding targeted recommendations.
关键词
人口老龄化/综合老龄化指数/时空演变/老龄化类型
Key words
population aging/composite aging index/spatial-temporal evolution/types of aging
维普
万方数据