The spatial patterns and determinants of internal migration of older adults in China from 1995 to 2015
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 China. The full picture of their migration in the entire country over time remains unknown. This study examines the spatial pat...
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Veröffentlicht in: | Journal of geographical sciences 2022-02, Vol.32 (12), p.2541-2559 |
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creator | Liu, Ye Huang, Cuiying Wu, Rongwei Pan, Zehan Gu, Hengyu |
description | 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 China. The full picture of their migration in the entire country over time remains unknown. This 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 data. Results 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 differences. The location of their grandchildren is among the most important attractions. Our 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. |
doi_str_mv | 10.1007/s11442-022-2060-z |
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The full picture of their migration in the entire country over time remains unknown. This 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 data. Results 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 differences. The location of their grandchildren is among the most important attractions. 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Geogr. Sci</stitle><date>2022-02-01</date><risdate>2022</risdate><volume>32</volume><issue>12</issue><spage>2541</spage><epage>2559</epage><pages>2541-2559</pages><issn>1009-637X</issn><eissn>1861-9568</eissn><abstract>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 China. The full picture of their migration in the entire country over time remains unknown. This 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 data. Results 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 differences. The location of their grandchildren is among the most important attractions. Our 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.</abstract><cop>Heidelberg</cop><pub>Science Press</pub><doi>10.1007/s11442-022-2060-z</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Earth and Environmental Science Geographical Information Systems/Cartography Geography Internal migration Nature Conservation Older people Physical Geography Remote Sensing/Photogrammetry Rural areas |
title | The spatial patterns and determinants of internal migration of older adults in China from 1995 to 2015 |
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