Evidence map›Paper›PMID 34083863›Full record

ArticleWorld development2021

Migration, labor and women's empowerment: Evidence from an agricultural value chain in Bangladesh.

Alan de Brauw, Berber Kramer, Mike Murphy

Abstract read
In one paragraph

Article in World development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Assessing women's empowerment, participation, and engagement in aquaculture in Bangladesh.Aquaculture international : journal of the European Aquaculture Society · 2024
    Article
  3. Article
  4. 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.

Alan de BrauwMarkets, Trade, and Institutions Division, International Food Policy Research Institute (IFPRI), 1201 Eye Street, NW, Washington, DC, USA.
Berber KramerMarkets, Trade, and Institutions Division, International Food Policy Research Institute (IFPRI), 1201 Eye Street, NW, Washington, DC, USA.
Mike MurphyMarkets, Trade, and Institutions Division, International Food Policy Research Institute (IFPRI), 1201 Eye Street, NW, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a substantial portion of the rural labor force migrates to urban areas, it is commonly assumed that women could take over traditionally male tasks in agricultural production, with potentially empowering outcomes for women. We study how changes in the supply of labor may influence female labor participation and empowerment outcomes. Using a detailed panel dataset on jute producers in the delta region of Bangladesh, we test whether out-migration of household members and perceived labor shortages are associated with the share of household and hired labor performed by women, and women's empowerment. When a household experiences reduced household or hired labor supply, we observe a relatively larger use of female household labor, but a reduced share of female hired labor. We also find that reduced labor supply is not associated with significant reductions in gender wage gaps, or enhanced women's empowerment. These findings suggest that given existing gender norms, male and female labor are not perfect substitutes for one another, and as a result, male outmigration is not associated with improved outcomes for women in cash crop production in the short run. Our results demonstrate a need for better understanding of the role of gender in rural labor markets, particularly in contexts of rapid urbanization.

Indexed as

AgricultureBangladeshGenderLaborMigrationRural

Identifiers

PMID34083863
PMCPMC8085769

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.