Evidence map›Paper›PMID 40334001›Full record

ArticlePloS one2025

Elderly care expectation how to influence the fertility desire: Evidence from Chinese general social survey data.

Jia Yang

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jia YangSchool of Public Administration, South China University of Technology, Guang Zhou,China.ORCID https://orcid.org/0009-0007-2054-4645

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe changes of population structure will have profound impact on economic and social development. In recent years, the continuous intensification of population aging and the persistent decline of fertility rates have posed a certain challenge to the stability of population structure in China.This paper combines the two social hot issues of elderly care and fertility, and puts forward relevant policies and enlightenment through quantitative analysis and research,so as to promote better social development.

methodsBased on the data of the Chinese General Social Survey (CGSS) in 2017 and 2021, this paper uses the logistic regression model, linear regression model and the Propensity Score Matching model to analyze the influence of the elderly care expectation on residents' fertility desire. The elderly care expectations include government elderly care, self-care, offspring elderly care and responsibility sharing.The fertility desire includes 'whether to give birth', 'quantity','gender preference' and 'fertility echelon'.

resultThe research results shows that: first, government elderly care expectations not only significantly reduces residents' willingness to have children, but also has an inhibitory effect on lower fertility echelons, but has a promoting effect on higher fertility echelons. Second, the self-care expectations significantly reduces residents' willingness to have children and has a significant negative impact on their expected fertility quantity, especially has a significant inhibitory effect on lower fertility echelons.Third, offspring elderly care expectations significantly increases residents' willingness to have children and has a significant positive impact on their expected fertility quantity, especially for increasing residents' willingness to have a second child, and residents with offspring elderly care expectations have a higher preference for boys.

conclusionThis study highlights the complex relationship between elderly care expectation and fertility desire, offering valuable insights for policymakers. The concept of fertility echelons provides a nuanced understanding of the dynamic impacts on fertility preferences. By addressing both elderly care and fertility challenges, this research contributes to the development of strategies for sustainable social progress.

Indexed as

Birth RateFertilityAdultAgedChinaEast Asian PeopleFemaleHumansMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID40334001
PMCPMC12057963

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.