Who Will Care for Middle Aged and Elderly Parents in Rural China?

Published date01 March 2021
AuthorMenghua Li,Yun Zhou,Xinjie Shi
Date01 March 2021
DOIhttp://doi.org/10.1111/cwe.12373
©2021 Institute of World Economics and Politics, Chinese Academy of Social Sciences
China & World Economy / 123–150, Vol. 29, No. 2, 2021 123
Who Will Care for Middle Aged and Elderly Parents
in Rural China?
Menghua Li, Yun Zhou, Xinjie Shi*
Abstract
Using data from the 2015 China Health and Retirement Longitudinal Study, this paper
analyzes how the health of parents is causally linked to the gender of their children.
We find that, compared with parents with no daughters, those with one daughter are
healthier by 0.155 more activities of daily living. This effect is mainly channeled through
the provision of emotional comfort and fi nancial support, and not through living with
parents. We also confirm that daughters are an important source of financial and
emotional support for elderly parents, regardless of whether the parents have pension
insurance. This study has important policy implications for China as it focuses on the
support from daughters, who historically have not been considered to be as reliable as
sons in supporting their parents.
Key words: family pension, gender of children, health of parents
JEL codes: J130, J140, J150, J160
I. Introduction
Recent studies have drawn increased attention to the effect of children’s behavior on the
health and long-term care of parents (Horowitz, 1985; Cai et al., 2006; Antman, 2010;
Giuntella, 2018). Some of the studies have examined the mechanisms of this effect,
including financial support and emotional care (Pezzin and Schone, 1999; Souza and
Grundy, 2007). However, little is known about whether and how children’s demographic
*Menghua Li, PhD Candidate, China Academy for Rural Development, School of Public Affairs, Zhejiang
University, China. Email: 11722015@zju.edu.cn; Yun Zhou (corresponding author), PhD Candidate, China
Academy for Rural Development, School of Public Affairs, Zhejiang University, China. Email: zysimone@zju.
edu.cn; Xinjie Shi (joint corresponding author), Assistant Professor, China Academy for Rural Development,
School of Public Affairs, Zhejiang University, China. Email: xjshi1990@zju.edu.cn. The authors contributed
equally to this work. This research was supported financially by the National Natural Science Foundation
of China (No. 72003170), Zhejiang University-International Food Policy Research Institute Center for
International Development Studies (No. 126000-541902/006), and Zhejiang Federation of Humanities and
Social Sciences (No. 21NDQN219YB).
Menghua Li et al. / 123–150, Vol. 29, No. 2, 2021
©2021 Institute of World Economics and Politics, Chinese Academy of Social Sciences
124
characteristics affect their parents’ health status. In this article, we study one additional
correlate of parents’ health – children’s gender – and investigate the mechanisms
underlying this relationship. Gender preference and sex imbalance are well documented
in China (as described below), so it is crucial to understand how the gender of children
affects the health status of their parents when designing policies to address health-care
issues for elderly people in China.
Since the 1980s, many parents have been affected by China’s one-child policy.
Although the one-child limit was enforced among urban residents, mothers with only a
daughter-child in many rural provinces were allowed to have a single additional birth (the
“1.5-child policy”) and families in remote areas were allowed to have a second or third
child. Under the one-child policy, parents in China who exceed their fertility limit are
forced to pay a fi ne and are subject to a variety of other monetary punishments, including
the seizure of property and forced dismissal from government employment (Gu et al.,
2007).
The one-child policy has become one of the most important factors in the fertility
decline in China (National Population Development Strategy Research Group, 2007;
Wang and Mason, 2008). The average household size in China has been shrinking,
which has further changed the dependency ratio. National Bureau of Statistics data
from 2019 show that situation has been worsened by the strong population aging
trend: nearly 4 out of every 10 people in China, on average, have entered middle age.
Vulnerable parents generally choose one of two forms of pension – the social pension or
the family pension. Of these, family pensions are the most prevalent because of the poor
development of the pension system in rural China. Another major challenge resulting
from the one-child policy, together with Chinese parents’ preference for a son, is gender
imbalance. The gender ratio at birth in China has deviated from the normal range and
reached 102 to 107, which means for every 100 girls, 102 to 107 boys are born. Several
explanations have been proposed, including adoption (Johansson and Nygren, 1991),
differential mortality rates (Coale and Banister, 1994), gender-selective abortion (Chen,
2001; Gupta, 2005), and the increased prevalence of male births. This “discriminatory
gender preference” reduces the “chosen fertility space” and greatly affects people’s
fertility-related choices.
Combined with the one-child policy, Confucian culture also has a deep influence,
as indicated by old sayings such as “raising sons to prepare for older age.” Under this
infl uence, parents rely on their children to support them and prefer boys to girls, which
accounts for the gender difference in the responsibility for family pensions (Wei and
Zhang, 2011a; Chen, 2017). This is also partly because boys have more utility to parents
than girls in traditional agricultural societies. In a society with a long tradition of both an

Get this document and AI-powered insights with a free trial of vLex and Vincent AI

Get Started for Free

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex