Evidence map›Paper›PMID 40139983›Full record

ArticleThe British journal of sociology2025

The Link Between Contextual Poverty and Academic Achievement: Evidence Using Panel Data From a Lower-Middle-Income Country.

Mobarak Hossain

Abstract read
In one paragraph

Article in The British journal of sociology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mobarak HossainLondon School of Economics and Political Science (LSE), London, UK.ORCID https://orcid.org/0000-0002-1042-7388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association between contextual poverty and educational achievement is not well-researched in lower-income countries. This paper investigates this link and examines how it varies between urban and rural school locations in Bangladesh, acknowledging the dual urban-rural dynamics of the country. Analyses based on original school-level longitudinal data, encompassing over 90 per cent of secondary schools in Bangladesh, demonstrate that subdistrict-level educational poverty (measured as the proportion of adults with education below the primary level) has a stronger and significantly negative association with achievement at the secondary level compared to economic poverty (measured as the percentage of people under the national poverty line). This negative association is starker for the 'science' academic stream, which necessitates supplementary private tutoring. I argue that in poorer local areas, pupils are less likely to encounter successful role models in science fields, experience a shortage of qualified instructors, and face difficulties in securing additional resources for science subjects due to poverty. Furthermore, urban areas generally exhibit higher achievement levels, reflecting a greater proportion of educated individuals and role models. However, urban achievement experiences a sharper decline with increasing educational poverty, likely due to structural inequalities such as informal settlements and unequal access to quality schools. In contrast, rural areas show less sensitivity to educational poverty, possibly due to the 'scarcity effect' of role models, where the limited presence of role models exerts a disproportionately positive influence on aspirations, even in high-poverty contexts.

Indexed as

Academic SuccessPovertyRural PopulationAdolescentBangladeshDeveloping CountriesEducational StatusFemaleHumansLongitudinal StudiesMaleSchoolsSocioeconomic FactorsUrban PopulationBangladesheducational inequalitieslocalitysubdistricturban‐rural

Identifiers

PMID40139983
PMCPMC12412087

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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.