Spatial-Temporal Evolution and Influence Factors of Population Aging in the Hilly Regions of China
The trend of population aging in China has been intensifying since the 21st century,expecially in the hilly regions of China with complex topographical conditions and relatively lagging economic development,where the transformation of population age structure had a profound impact on the allocation of resource elements and socio-economic development.Past studies cared about the aging phenomenon and associated mechanisms on a national or specific regional levels,but poorly grasped the development and causes of population aging in hill districts.Based on the county-level census data in 2010 and 2020,this paper analyzed the spatio-temporal evolution of population aging in the hilly regions of China and used Geodetector to explore its influencing factors.During the research period of 2010 to 2020,the degree of population aging in China's hilly regions had significantly deepened,characterized by a continuous rise in the aging rate and the complexification of aging types;there were clear inter-regional differences,with the central hilly areas gradually surpassing the eastern areas to become the most severely aging region;in terms of terrain distribution,the aging degree in hilly counties had remained higher than that in plain and mountainous counties,showing a unique regional characteristic.In terms of spatial layout,the aging trend had spread from east to west,with the global spatial agglomeration effect showing a weakening trend over time;in local areas,the low-low aggregation pattern had significantly decreased,while the high-high aggregation pattern had become more concentrated and had also shown a tendency to diffuse outward.The spatial differentiation of population aging in hilly regions was the result of a combination of demographic composition,socio-economic status,and natural environmental factors.The dominant factors changed dynamically over time,and there were interactive effects among these factors.The population aging in hilly counties and mountainous counties were relatively less directly affected by socio-economic factors and more influenced by demographic structure and natural environmental factors.This study can provide data support and scientific evidence for sustainable development and policy making for population aging in hilly regions of China.
population agingspatial-temporal evolutionGeodetectorinfluencing factorhilly regions of China
NETL
NSTL
万方数据
