Environmental health, economy, and amenities interactively drive migration patterns among China's older people

• Published in: Frontiers in public health Vol. 12; p. 1354071
• Main Authors: Wang, Hongjie, Gao, Xiaolu, Liu, Guili, Wang, Fuyuan, Rosenberg, Mark W.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 10.04.2024
• Subjects: Aged; China; environmental health; Environmental Health - statistics & numerical data; Female; Humans; interaction; Male; Middle Aged; migration pattern; older people; Public Health; Transients and Migrants - statistics & numerical data; China; interaction; older people; environmental health; migration pattern; China
• ISSN: 2296-2565; 2296-2565
• DOI: 10.3389/fpubh.2024.1354071

The increasing number of older adult migrants is rapidly changing regional demographic and social structures in China. There is an urgent need to understand the spatial patterns and factors that influence older adults to migrate, especially the role of environmental health. However, this issue has been under-studied. This study focused on intra-provincial and inter-provincial older adult migrants as research subjects, estimated their spatial concentration index based on the iterative proportional fitting approach, and explored the factors influencing their migration using the GeoDetector Model. The results showed the following: (1) In 2015, more than 76% of inter-provincial older adult migrants were distributed in Eastern China, and most intra-provincial older adult migrants were scattered in sub-provincial cities. (2) Compared to factors relating to economy and amenities, environmental health by itself played a relatively weak role in the migration of older adults, but the interaction among environmental health, economy, and amenities was a key driving force of older adult migration. (3) There were significant differences in the dominant environmental health factors between inter-provincial migration and intra-provincial migration, which were temperature and altitude, respectively. Our findings can help policymakers focus on the composition of older adult migrants based on urban environmental health characteristics and rationally optimize older adult care facilities to promote supply-demand matching.