热带地理 ›› 2021, Vol. 41 ›› Issue (5): 906-917.doi: 10.13284/j.cnki.rddl.003387

• 城市地理 • 上一篇    下一篇

中国城镇化对老年人健康的影响

黄柏石1,2,3(), 刘晔1,2,3(), 潘泽瀚4   

  1. 1.中山大学 地理科学与规划学院,广州 510275
    2.广东省城市化与地理环境空间模拟重点实验室,广州 510275
    3.广东省公共安全与灾害工程技术研究中心,广州 510275
    4.复旦大学 人口研究所,上海 200433
  • 收稿日期:2021-01-06 修回日期:2021-06-03 出版日期:2021-09-05 发布日期:2021-09-22
  • 通讯作者: 刘晔 E-mail:huangbsh8@mail2.sysu.edu.cn;liuye25@mail.sysu.edu.cn
  • 作者简介:黄柏石(1992―),男,江西萍乡人,博士研究生,研究方向为健康地理和城市地理,(E-mail)huangbsh8@mail2.sysu.edu.cn
  • 基金资助:
    国家自然科学基金项目(42171196);高校基本科研业务费中山大学青年教师重点培育项目(20lgzd10)

The Effects of Urbanization on Older Adults' Health: Evidence from 2,805 Counties in China

Baishi Huang1,2,3(), Ye Liu1,2,3(), Zehan Pan4   

  1. 1.School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    2.Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou 510275, China
    3.Guangdong Provincial Engineering Research Center for Public Security and Disaster, Guangzhou 510275, China
    4.Institute of Population Research, Fudan University, Shanghai 200433, China
  • Received:2021-01-06 Revised:2021-06-03 Online:2021-09-05 Published:2021-09-22
  • Contact: Ye Liu E-mail:huangbsh8@mail2.sysu.edu.cn;liuye25@mail.sysu.edu.cn

摘要:

基于2010年第六次全国人口普查微观数据和夜间灯光数据等,运用多层级logistic回归模型估计中国城镇化水平和速度与老年人自评健康的关联,分析城镇化健康效应在不同老年人群体间的差异,并运用倾向得分匹配方法,控制“自选择”机制对分析结果的干扰。结果表明:1)中国县区城镇化水平和速度与老年人自评健康呈显著正相关关系,居住于城镇化水平中等和城镇化速度较快县区的老年人更可能自评为健康;2)城镇化水平和速度与老年人自评健康的关系在不同受教育程度和户口状态的老年人群体间存在显著差异,城镇化水平和速度对受教育程度较低、持有本地户口老年人健康水平的提升效益更大;3)控制了老年人居住“自选择”的干扰后,县区城镇化水平和速度与老年人自评健康的正向关联依然稳健,表明“自选择偏误”对中国县区城镇化水平和速度与老年人自评健康的关系没有显著的影响。

关键词: 城镇化, 人口健康, 老年人, 多层级logistic回归模型, 倾向得分匹配, 中国

Abstract:

China's rapid urbanization has contributed to an epidemiological transition from infectious diseases to chronic diseases over the last four decades. The aging of the population has also raised considerable challenges for the sustainable development of China's economy and society. Determining the effects of urbanization on older adults' general health in China is helpful for a more comprehensive assessment of current development in urbanization and to find active interventions to achieve healthy aging. Based on a micro-data sample from the 2010 China population census, nighttime light data, and other statistical data, this study employed two-level logistic regression models to estimate the relationships of the level and rate of urbanization with self-rated health among older Chinese adults on the county-level geographic scale and explore the differences in the health effects of urbanization in different groups of older people. We applied propensity score matching to control for self-selection bias. This study found that (1) the level and rate of China's urbanization have a significant positive correlation with older adults' self-reported health, such that older people living in areas with moderate urbanization and experiencing rapid urbanization are more likely to report good health; (2) those with junior high school education or below and those with local hukou benefit more from urbanization development; (3) after controlling for self-selection bias, the level and rate of urbanization are still positively associated with the self-reported health of older adults. In summary, this study used nationally representative census data covering 2805 counties across 31 provinces to provide a more comprehensive picture of urbanization-health relationships across the country. Longitudinal studies are warranted to determine causality, which may help policymakers and practitioners develop effective interventions to promote older adults' health and healthy aging.

Key words: urbanization, self-rated general health, older adults, multilevel logistic regression models, propensity score matching, China

中图分类号: 

  • R12