摘要
以东北地区为案例,采用空间关联分析、地理探测器等方法,基于省、市、县3个尺度分析了2000—2010年东北地区人口老龄化的时空特征及影响因素。结果表明:(1)不同尺度老龄化系数均呈现逐年上升趋势,辽宁省老龄化程度最严重。(2)空间分布上,市、县尺度人口老龄化均呈现全面升级的态势。(3)空间关联上,全局空间自相关分析表明市、县尺度人口老龄化存在显著的空间正相关,但集聚强度呈减弱态势;局部空间自相关分析表明市、县尺度人口老龄化空间集聚均呈收缩趋势。(4)老龄化速度空间分异在市级尺度上呈现显著的轴带分布,县级尺度呈现由北向南增速递减。从宏观定性和微观定量两个角度,分析了不同尺度人口老龄化的影响因素。
Taking Northeast China as a typical case study area,this research used spatial association analysis and geo-probe methods to analyze the temporal and spatial characteristics of population aging and influencing factors of the Northeast China from 2000 to 2010 based on provincial,municipal,and county scales data.The results show that:1) The ageing coefficients at different scales in Northeast China tend to rise year by year,The degree of aging of Liaoning Province is the worst.2) From the perspective of spatial distribution,the population ageing at both the municipal scale and the county scale shows an overall upgrading trend;3) From the perspective of spatial correlation,the global auto-correlation analysis shows that there is a significant spatial positive correlation between population aging at the municipal and county scales.In addition,the agglomeration characteristics are obvious while the agglomeration intensity is weakening.The local spatial auto-correlation analysis shows that the municipal and county scales aggregation of population aging has a contraction trend.4) In terms of the spatial differentiation of aging speed,there is a significant axial distribution on the municipal scale,and a decrease from north to south on the county scale.In the end,from the dual perspectives of macro-characterization and micro-quantitative analysis,the influencing factors of population aging at different scales are analyzed.
作者
王晗
刘鉴
房艳刚
WANG Han;LIU Jian;FANG Yangang(School of Geographical Sciences,Northeast Normal University,Changchun 130024,China;Department of Resource Management,Tangshan Normal University,Tangshan 063000,China)
出处
《地域研究与开发》
CSSCI
CSCD
北大核心
2021年第6期147-153,共7页
Areal Research and Development
基金
国家自然科学基金项目(42071223,41630749)。
关键词
人口老龄化
多尺度
时空演变
影响因素
地理探测器
东北地区
population aging
multi-scale
spatio-temporal evolution
influencing factors
geographic detector
Northeast China
