摘要
文章首先通过对我国31个省市人口老龄化样本数据进行了描述性统计分析,发现我国东、中、西部地区老龄化程度和老龄化演变速度存在空间差异。东部地区人口老龄化程度要严重于中部地区,西部地区人口老龄化程度最低,人口最为年轻化;西部地区老龄化增长速度要高于中部地区,中部地区老龄化增长速度要高于东部地区。其次,选用面板数据模型分析人口老龄化的成因,发现经济发展水平、城镇化率、文盲率会提高我国人口老龄化水平,人口增长速度、性别比、产业结构升级状况会降低我国人口老龄化水平,且同一因素对东、中、西部不同空间的影响效果不同。
The paper firstly conducts a descriptive statistical analysis of the population aging data of 31 provinces and cities in China,and finds that there are spatial differences in the degree and rate of aging in China’s eastern,central and western regions.The population aging in eastern region is much greater than that in the central region while the western region has the lowest aging population and the greatest youngest population.The growth rate of aging in the western region is higher than that in the central region.The growth rate of aging in the central region is higher than that in the eastern region.The panel data model is used to analyze the causes of population aging.It is found that the level of economic development,urbanization rate and illiteracy rate will increase the aging speed of China’s population.The population growth rate,gender ratio and industrial structure upgrading will reduce the aging of China’s population.And the same factor has different effects on different spaces in the east,central and west China.
作者
晏佳惠
YAN Jia-hui(School of Information Management,Jiangxi University of Finance and Economics,Nanchang Jiangxi 330013,China)
出处
《萍乡学院学报》
2018年第2期32-36,52,共6页
Journal of Pingxiang University
基金
2017年国家社科基金项目(17BJY077)
江西省高校人文社会科学研究项目(GL17106)
关键词
人口老龄化
区域差异
描述性统计
面板数据
population aging
regional differences
descriptive statistics
panel data
