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我国人口老龄化在不断演变过程中存在显著的空间非均衡性。选用Dagum基尼系数分解法测算和分解我国人口老龄化空间非均衡程度,并构建面板数据模型分析我国东、中、西部人口老龄化影响因素。从人口老龄化空间非均衡程度来看:西部空间非均衡程度最大,东西空间非均衡差距最大;人口老龄化空间非均衡程度在2010年以前主要来源于各空间之间非均衡差距Gnb,2010年以后却主要来源于空间超变密度Gt。从人口老龄化空间非均衡的影响因素来看:人均GDP、城镇化率、文盲率会加重我国人口老龄化程度,而人口自然增长率、产业结构优化、人口性别比会减弱我国人口老龄化程度。东、中、西部空间总体情况与我国整体情况基本一致,不同在于西部空间经济发展会弱化人口老龄化程度、人口自然增长率会加重人口老龄化程度。
Abstract:The age structure of China's population has undergone significant changes, and the proportion of the elderly population in the total population has continuously increased. At the same time that China's aging is becoming more and more serious, China's aging is also facing another problem-there is a significant spatial imbalance in the process of population aging. In order to reveal the spatial imbalance of population aging, explore the contribution of spatial imbalance in East, Central and West to the national imbalance, and analyze the impact of four main factors of economy, population, society and education on the spatial imbalance of population aging. The paper uses ArcGIS software to map the spatial part of China's population aging to visualize the population aging spatial imbalance. On the basis of this, the Dagum Gini coefficient decomposition method is used to measure the spatial imbalance of the aging population in China, East, Central and West. Degree, and decompose the contribution of the spatial imbalance of the eastern, central and western regions to the non-equilibrium of China's overall population aging space; further papers to construct spatial panel data models of China, East, Central and West to analyze the factors affecting the population aging spatial imbalance.From the perspective of the imbalance of population aging space: the western space is the most unbalanced, and the east-west space imbalance is the largest; the population aging spatial imbalance is mainly from the non-equilibrium gap between different spaces before 2010, after 2010 But mainly from the spatial hyper-density. From the influencing factors of the population aging spatial imbalance: the level of economic development,urbanization rate, and illiteracy rate will promote the aging of China's population, while the natural population growth rate, industrial structure upgrading, and gender ratio will weaken China's population aging. The overall situation of the eastern, central and western regions is basically the same as that of China. The difference is that the development of the western space economy will weaken the aging population and the natural population growth rate will increase the aging of the population.
[1]王志宝,孙铁山,李国平.近20年来中国人口老龄化的区域差异及其演化[J].人口研究,2013(1):66-77.
[2]李日邦,王五一,谭见安,等.我国人口老龄化发展的阶段、趋势和区域差异[J].地理研究,1999(2):2-10.
[3]李秀丽,王良健.我国人口老龄化水平的区域差异及其分解研究[J].西北人口,2008(6):104-107+111.
[4]许海平.我国农村人口老龄化差异测度、分解及影响因素分析——基于2001—2013年面板数据[J].农业技术经济,2016(8):49-57.
[5]李乐乐.我国人口老龄化空间差异及影响因素分析[J].华中农业大学学报(社会科学版),2017(6):94-102+151.
[6]汪伟,刘玉飞,彭冬冬.人口老龄化的产业结构升级效应研究[J].中国工业经济,2015(11):47-61.
[7]王桂新,干一慧.中国的人口老龄化与区域经济增长[J].中国人口科学,2017(3):30-42+126-127.
[8]吴飞飞,唐保庆.人口老龄化对中国服务业发展的影响研究[J].中国人口科学,2018(2):103-115+128.
[9]原新,刘士杰.1982—2007年我国人口老龄化原因的人口学因素分解[J].学海,2009(4):140-145.
[10] Anderson G F, Hussey P S. Population aging:a comparison among industrialized countries[J].AgingMale,2000(3):191-203.
[11]曾通刚,赵媛,许昕.中国人口高龄化空间格局演化及影响因素研究[J].地理与地理信息科学,2017(6):72-79.
[12]赵儒煜,刘畅,张锋.中国人口老龄化地区溢出与分布差异的空间计量经济学研究[J].人口研究,2012(2):71-81.
[13]陈明华,郝国彩.中国人口老龄化地区差异分解及影响因素研究[J].中国人口·资源与环境,2014(4):136-141.
[14] Dagum C. Decomposition and Interpretation of Gini and the Generalized Entropy Inequality Measures[J].Statistica,1997(3):296-308.
[15]刘那日苏,张璞.中国人口老龄化的地区差异分析[J].西北人口,2016(3):105-110.
[16]黄杰,贾登勋.中国低碳经济发展的空间非均衡及动态演进[J].统计与信息论坛,2015(3):57-64.
[17]孙蕾,王亦闻,门长悦.中国人口老龄化的区域差异研究——基于省级面板数据的实证分析[J].当代经济科学,2015(1):18-24+124.
[18]邹湘江,吴丹.人口流动对农村人口老龄化的影响研究——基于“五普”和“六普”数据分析[J].人口学刊,2013(4):70-79.
(1)东部空间包括北京、天津、辽宁、河北、山东、江苏、浙江、上海、福建、广东、海南、浙江11个省市,中部空间包括黑龙江、吉林、山西、河南、安徽、湖南、湖北、江西8个省,西部空间包括重庆、四川、陕西、贵州、甘肃、云南、宁夏回族自治区、内蒙古自治区、广西壮族自治区、青海、西藏自治区、新疆维吾尔自治区12个省市区。
基本信息:
DOI:10.19631/j.cnki.css.2019.01.011
中图分类号:C924.25
引用信息:
[1]聂高辉,晏佳惠.人口老龄化空间非均衡及影响因素分析[J].重庆社会科学,2019,No.290(01):107-117.DOI:10.19631/j.cnki.css.2019.01.011.
基金信息:
国家社会科学基金项目“我国人口老龄化的产业结构升级溢出效应研究”(17BJY077)
2019-01-16
2019-01-16