TY - JOUR
T1 - No Spouse, No Son, No Daughter, No Kin in Contemporary China
T2 - Prevalence, Correlates, and Differences in Economic Support
AU - Zhou, Zhangjun
AU - Verdery, Ashton M.
AU - Margolis, Rachel
AU - Chen, Feinian
N1 - Funding Information:
This work was supported by the Population Research Institute (P2CHD041025) and Institute for CyberScience at The Pennsylvania State University, and the Government of Canada - Canadian Institutes of Health Research (MYB-150262) and Social Sciences and Humanities Research Council (435-2017-0618 and 890-2016-9000). The CHARLS (China Health and Retirement Longitudinal Study) is supported by Peking University, the National Natural Science Foundation of China, the National Institute on Aging and the World Bank. The harmonized CHARLS from the Gateway to Global Aging Data is funded by the National Institute on Aging (R01 AG030153, RC2 AG036619, 1R03AG043052).
Publisher Copyright:
© 2018 The Author(s) 2018. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved.
PY - 2019/10/4
Y1 - 2019/10/4
N2 - China's recent demographic and social changes might undermine the sustainability of its family-oriented system for elder care. We investigate kin availability among adults aged 45+ in contemporary China, with an emphasis on child gender. Method: Using nationally representative survey data from the China Health and Retirement Longitudinal Study (2011), we examine the prevalence and correlates of lacking different kin types and combinations, and we test associations between kin availability and received economic support. Results: Kinlessness is low in China (less than 2% lack a spouse/partner and children), but kin availability is patterned by gender, age group, and sociodemographic characteristics. More than twice as many older adults have no spouse/partner and no daughter (3.2%) as those who have no spouse/partner and no son (1.4%). Adults without close kin are disadvantaged across health, wealth, and economic support. In contrast to traditional expectations, we find that those with only daughters are more similar to those with mixed sex children, whereas those with only sons are more similar to those without children in receipt of economic support. Discussion: Access to kin forms the basis of an emergent system of stratification in China, which will be amplified as cohorts with only one child age into older adulthood.
AB - China's recent demographic and social changes might undermine the sustainability of its family-oriented system for elder care. We investigate kin availability among adults aged 45+ in contemporary China, with an emphasis on child gender. Method: Using nationally representative survey data from the China Health and Retirement Longitudinal Study (2011), we examine the prevalence and correlates of lacking different kin types and combinations, and we test associations between kin availability and received economic support. Results: Kinlessness is low in China (less than 2% lack a spouse/partner and children), but kin availability is patterned by gender, age group, and sociodemographic characteristics. More than twice as many older adults have no spouse/partner and no daughter (3.2%) as those who have no spouse/partner and no son (1.4%). Adults without close kin are disadvantaged across health, wealth, and economic support. In contrast to traditional expectations, we find that those with only daughters are more similar to those with mixed sex children, whereas those with only sons are more similar to those without children in receipt of economic support. Discussion: Access to kin forms the basis of an emergent system of stratification in China, which will be amplified as cohorts with only one child age into older adulthood.
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U2 - 10.1093/geronb/gby051
DO - 10.1093/geronb/gby051
M3 - Article
C2 - 29688560
AN - SCOPUS:85072921332
SN - 1079-5014
VL - 74
SP - 1453
EP - 1462
JO - Journals of Gerontology - Series B Psychological Sciences and Social Sciences
JF - Journals of Gerontology - Series B Psychological Sciences and Social Sciences
IS - 8
ER -