Evidence map›Paper›PMID 42382320›Full record

ArticleResearch in education (University of Manchester)2026

Youth educational mobility and the rural family in China.

Haoyang Zhang, Li-Chung Hu, Emily Hannum

Abstract read
In one paragraph

Article in Research in education (University of Manchester), 2026. 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. Article
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

3 authors.

Haoyang ZhangDepartment of Sociology and Criminology, Pennsylvania State University, University Park, PA, USA.ORCID https://orcid.org/0000-0003-0877-8901
Li-Chung HuDepartment of Sociology, National Chengchi University, Taipei City, Taiwan.ORCID https://orcid.org/0000-0001-8476-2202
Emily HannumDepartment of Sociology and Population Studies Center, University of Pennsylvania, Philadelphia, PA, USA.ORCID https://orcid.org/0000-0003-2011-9984

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban-rural economic opportunity gaps drive rural youth to seek economic stability by migrating away from home and family. The links between educational attainment and economic outcomes for rural youth are well studied in China and elsewhere, but the implications of educational mobility for rural family relationships remain less understood. Extending tenets of second demographic transition theory, we posit that education sets the stage for "individualization:" geographic mobility for urban work distant from rural family networks. Educational mobility may thus set conditions for upending traditional family co-residence patterns, direct-support relationships, and family-gender attitudes. In this paper, we consider first whether educational advancement is associated with urban economic mobility for rural youth in young adulthood, and then ask whether education is linked to disruption of rural family relations. Specifically, using the case of children growing up in rural northwest China, we estimate relationships between secondary and tertiary educational attainment and (1) economic stability, (2) intergenerational geographic separation and material exchange, and (3) traditional family and gender role attitudes, after adjusting for potential confounders. Results show that for both men and women, education is associated with greater economic stability in young adulthood, across several measures, and with an erosion of adherence to traditional family and gender attitudes. Moreover, for men, education correlates to less family proximity and more material exchange.

Indexed as

Educational mobilityfamilyindividualizationrural educationrural youthsecond demographic transition theory

Identifiers

PMID42382320
PMCPMC13318157

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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.