The spatial patterns and determinants of internal migration of older adults in China from 1995 to 2015
1995-2015年中国老年人口迁移的空间格局与影响因素作者机构:School of Geography and PlanningSun Yat-sen UniversityGuangzhou 510275China Guangdong Key Laboratory for Urbanization and Geo-simulationSun Yat-sen UniversityGuangzhou 510275China Guangdong Provincial Engineering Research Center for Public Security and DisasterGuangzhou 510275China Population Development and Policy Research CenterChongqing Technology and Business UniversityChongqing 400067China School of Social Development and Public PolicyFudan UniversityShanghai 200433China Department of Geography and Resource ManagementThe Chinese University of Hong KongHong Kong SARChina
出 版 物:《Journal of Geographical Sciences》 (地理学报(英文版))
年 卷 期:2022年第32卷第12期
页 面:2541-2559页
核心收录:
学科分类:12[管理学] 1204[管理学-公共管理]
基 金:National Natural Science Foundation of China No.42001153 No.42001161
主 题:interprovincial migration older adults eigenvector spatial filtering negative binomial regression models China
摘 要:Although China was one of the countries with the fastest-growing aging population in the world,limited scholarly attention has been paid to migration among older adults in *** full picture of their migration in the entire country over time remains *** study examines the spatial patterns of older interprovincial migration flows and their drivers in China over the period 1995 to 2015,using four waves of census data and intercensal population sample survey *** from eigenvector spatial filtering negative binomial regressions indicate that older adults tend to migrate away from low cost-of-living rural areas to high cost-of-living urban and rural areas,moving away from areas with extreme temperature *** location of their grandchildren is among the most important *** findings suggest that family-oriented migration is more common than amenity-led migration among retired Chinese older adults,and the cost-of-living is an indicator of economic opportunities for adult children and the quality of senior care services.