主管单位:中国科学技术协会
主办单位:中国地理学会
承办单位:华东师范大学

World Regional Studies ›› 2024, Vol. 33 ›› Issue (5): 163-176.DOI: 10.3969/j.issn.1004-9479.2024.05.20220367

Previous Articles    

Spatial-temporal patterns and influencing factors of population aging in China from 2000 to 2020

Linguo WU1(), Rongwei WU2(), Degang YANG3   

  1. 1. School of Law and Sociology
    2.Population Development and Policy Research Center, Chongqing Technology and Business University, Chongqing 400067, China
    3.State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
  • Received:2022-05-21 Revised:2022-09-02 Online:2024-05-15 Published:2024-05-30
  • Contact: Rongwei WU

20002020年中国人口老龄化时空演变及影响因素研究

邬林果1(), 武荣伟2(), 杨德刚3   

  1. 1.重庆工商大学,法学与社会学学院,重庆 400067
    2.重庆工商大学,人口发展与政策研究中心,重庆 400067
    3.中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室,乌鲁木齐 830011
  • 通讯作者: 武荣伟
  • 作者简介:邬林果(1998—),女,硕士研究生,研究方向为人口地理,E-mail:2021309025@email.ctbu.edu.cn
  • 基金资助:
    国家自然科学基金项目(42001153)

Abstract:

Based on the data of three population censuses in 2000, 2010 and 2020, the spatio-temporal pattern, regional differences and influencing factors of population aging in cities at and above the prefecture level in China are analyzed by using exponential growth and Tobit Regression Model. The results show that:①The spatial distribution of population aging in China is clearly divided by the "Hu line", and the degree of aging in the northwest half of the "Hu line" is significantly lower than that in the southeast half; ②The young type and adult type areas continue to decrease, and the elderly type area shows a large spatial expansion. Among them, the "core periphery" distribution characteristics of the elderly type Ⅱ are obvious, and the elderly type Ⅲ presents a near L-shaped structure; ③There are significant spatial differences in the speed of aging. From 2000 to 2010, the rapid aging areas were mainly distributed in Xinjiang, Inner Mongolia, Gansu, Heilongjiang, Sichuan and other provinces, while from 2010 to 2020, they were mainly distributed in Heilongjiang, Jilin, Liaoning, Gansu, Inner Mongolia and other provinces; ④ In the past 20 years, the aging degree of resource-based cities and provincial capital cities is gradually higher than that of non-resource-based and non-provincial capital cities; ⑤The age structure of the population in the base period is the dominant factor affecting population aging. Economic factors have a two-way impact on population aging. Topographic relief, net migration rate, natural growth rate and other factors are negatively correlated with the aging rate.

Key words: population aging, urban scale, spatiotemporal differentiation, China

摘要:

基于2000、2010和2020年三次人口普查数据,应用指数增长和Tobit回归模型分析2000—2020年中国地级及以上行政区人口老龄化时空格局、区域差异以及影响因素,结果表明:①中国人口老龄化空间分布以“胡焕庸线”为明显分界,“胡焕庸线”西北半壁老龄化程度显著低于东南半壁;②年轻型、成年型区域不断减少,老年型区域呈现大幅度空间扩张,其中老年型Ⅱ期“核心-外围”分布特征明显,老年型Ⅲ期呈现近“L”形结构;③老龄化速度空间差异特征显著,2000—2010年快速老龄化区域主要分布于新疆、内蒙古、甘肃、黑龙江、四川等省份,2010—2020年则主要分布于黑龙江、吉林、辽宁、甘肃、内蒙古等省份;④20年间,资源型城市、省会城市老龄化率逐渐高于非资源型、非省会城市;⑤基期人口年龄结构是影响人口老龄化的主导性因素,经济因素对人口老龄化有双向影响,地形起伏度、净迁移率、自然增长率等因素与老龄化率负相关。

关键词: 人口老龄化, 城市尺度, 时空分异, 中国