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中国人口老龄化区域差异及驱动机制研究
引用本文:吴连霞,赵媛,吴开亚,郝丽莎,王玉娟.中国人口老龄化区域差异及驱动机制研究[J].地理科学,2018,38(6):877-884.
作者姓名:吴连霞  赵媛  吴开亚  郝丽莎  王玉娟
作者单位:1.华东师范大学人口研究所, 上海 200241
2.南京师范大学地理科学学院, 江苏 南京210023
3.复旦大学人口与发展政策研究中心, 上海 200433
4.盐城工学院土木学院, 江苏 盐城 240001
基金项目:国家自然科学基金重大项目(71490735,71490730)、上海市社科规划青年项目(2017ESH001)、国家自然科学基金项目(41271128)资助
摘    要:基于中国第五、六次人口普查数据,分析中国省域人口老龄化的程度、速度、社会经济影响、空间差异及其驱动机制。结果表明: 2000~2010年中国人口老龄化处于初级老龄化阶段且不断加深,区域差异缩小,东部地区低速增长,中西部地区老龄化与养老负担快速增加。老年人口密度属较低密度区,从东向西呈梯度降低。 中国省域人口老龄化程度及空间布局是人口自然增长、人口机械增长、经济水平等因素相互调节与空间分异的综合结果。 各机制系数空间异质性的综合作用促使老龄化大致由南北向分异转变为东西向分异的空间格局。省际人口迁移从根本上制约如今的中国人口老龄化空间格局。

关 键 词:人口老龄化  区域差异  驱动机制  地理加权回归模型  中国  
收稿时间:2017-07-09
修稿时间:2017-10-04

Regional Variations and Driving Mechanism of Aging Population in China
Lianxia Wu,Yuan Zhao,Kaiya Wu,Lisha Hao,Yujuan Wang.Regional Variations and Driving Mechanism of Aging Population in China[J].Scientia Geographica Sinica,2018,38(6):877-884.
Authors:Lianxia Wu  Yuan Zhao  Kaiya Wu  Lisha Hao  Yujuan Wang
Institution:1.Population Research Institute, East China Normal University, Shanghai 200241, China
2.School of Geography Science, Nanjing Normal University, Nanjing 210023, Jiangsu, China
3.Center for Population and Development Policy Research,Fudan University, Shanghai 200433, China
4.Civil Engineering Department, Yancheng Institute of Technology, Yancheng 240001, Jiangsu, China
Abstract:Aging population has been more and more complex as well as one of new normal and core issues which the social development must face in China. Based on the population census data in 2000 and 2010, this study explores the regional differences of Chinese ageing population in terms of the degree, pace, social economic impact, and analyzes its driving mechanism using the Geographical Weighed Regression Model (GWR). The results show as follows: 1) During 2000-2010, Chinese population as a whole has entered the stage of ageing, and most of regions stay at the early stage. 2) Except for Shanghai, all other regions are experiencing the acceleration of ageing, and the regional disparity in the degree of ageing is decreasing. 3) The demand for the elder support has increased rapidly. 4) The overall density of aged population remains at the low level, but the local density increases from the west to the east, with the high density zones cluster in a few eastern municipalities. 5) The degree of population aging and spatial layout in China province are the comprehensive results of population natural growth, population growth, mechanical growth and economic level and so on. Among them, the primary leading factor has changed from GDP per capita to emigration rate. In the early stage of economic development, per capita GDP plays a decisive role in promoting. With the development of economy, the influence of per capita GDP on the aging population has decreased. The phenomenon of “not getting rich before getting old” appears, what’s more the phenomenon of “decoupling” between GDP per capita and aging appears in some areas. The rate of population emigration is positively related to population aging, which promoting the degree and speed of population aging as well as increasing the burden on the elderly in the central and western regions. 6) The comprehensive effects of spatial heterogeneity of the mechanism coefficients has promoted the population aging roughly divided the spatial pattern from North-South (with the Yangtze River Basin as the boundary) to East-West differentiation (with the central region as the boundary) in China. The provincial population migration fundamentally restricts the current spatial pattern of China’s population aging. The comprehensive effects of various factors on the central and western regions are slightly stronger than those in the east. 7) The largest population emigration areas are still in the Central and Western Regions, which leading to faster growth rate in the Central and Western Region than in the east and increasing the burden on the elderly rapidly and greater than that in the east. However, the eastern region is the largest population immigration area in china. Natural growth rate has become the main mechanism to curb the rapid development of population aging in the eastern region.
Keywords:aging population  regional variations  driving mechanism  Geographical Weighed Regression Model  China  
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