期刊文献+

人口老龄化空间非均衡及影响因素分析 预览

Analysis on the Unbalanced Population Aging Space and Its Influencing Factors
在线阅读 免费下载
收藏 分享 导出
摘要 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。 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 a
作者 聂高辉 晏佳惠 Nie Gaohui;Yan Jiahui(Jiangxi University of Finance and Economics,School of Information Management,Nanchang 330013,China)
出处 《重庆社会科学》 CSSCI 2019年第1期107-117,共11页 Chongqing Social Sciences
基金 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)。
关键词 人口老龄化 空间非均衡 Dagum基尼系数分解法 影响因素面板数据模型 population aging spatial imbalance Dagum Gini coefficient decomposition influencing factors Panel data model
作者简介 聂高辉(1962—),男,汉族,江西新干人,江西财经大学信息管理学院教授,硕士研究生导师,研究方向:数量经济学;晏佳惠(1994-),女,汉族,江西鹰潭人,江西财经大学信息管理学院硕士研究生,研究方向:经济管理定量分析。
  • 相关文献

参考文献16

共引文献486

投稿分析

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈
新型冠状病毒肺炎防控与诊疗专栏