Evidence map›Paper›PMID 41069806›Full record

ArticleFrontiers in public health2025

How do children's cohabitation and family asset reserves impact rural individuals' participation in commercial pension insurance?

Chao Feng, Ying Zhang, Lulu Yang, Linjie Wu, Bin Liu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Chao Feng *School of Economics and Management, Jiangxi Agricultural University, Nanchang, China.
Ying Zhang *School of Economics and Management, Jiangxi Agricultural University, Nanchang, China.
Lulu YangSchool of Economics and Management, Henan Agricultural University, Zhengzhou, China.
Linjie WuBureau of Agriculture and Rural Affairs, Ganzhou, China.
Bin LiuSchool of Economics and Management, Jiangxi Agricultural University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper utilizes the Chinese Family Panel Studies (CFPS) database and employs the Probit model to examine the influence of cohabitation with children and household asset reserves on the engagement of rural people in commercial pension insurance. The study reveals that cohabiting with children markedly restricts rural residents' engagement in commercial pension insurance. However, household asset reserves substantially enhance the probability of such participation. The significance and its direction remain unchanged following robustness and endogeneity assessments. The moderating effect indicates that the interaction term between household asset reserves and child cohabitation substantially increases commercial pension insurance participation, suggesting that household asset reserves mitigate the disincentive effect of child cohabitation. Heterogeneity analysis revealed that children's cohabitation had a negative influence on participation in commercial pension insurance among residents with low educational attainment and poor health. In contrast, family asset reserves had a positive impact on participation in commercial pension insurance for residents with high educational attainment and good health. Consequently, we propose pertinent recommendations to enhance awareness of aging and transform perceptions of old age, augment farmers' incomes and reduce insurance costs, assist prospective users, and refine insurance products.

Indexed as

Family CharacteristicsPensionsRural PopulationAdultAgedChildChinaFemaleHumansMaleMiddle Agedagingchildren’s cohabitationcommercial pension insurancefamily asset reserveparticipation behavior

Identifiers

PMID41069806
PMCPMC12504227

What OpenQuestion holds

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Registered trials

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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.