Evidence map›Paper›PMID 39135892›Full record

ReviewCampbell systematic reviews2024

Value chain interventions for improving women's economic empowerment: A mixed-methods systematic review and meta-analysis: A systematic review.

Suchi Kapoor Malhotra, Swati Mantri, Neha Gupta, Ratika Bhandari, Ralph Nii Armah, Hamdiyah Alhassan, Sarah Young, Howard White, Ranjitha Puskur, Hugh Sharma Waddington and 1 more

Abstract readReview
In one paragraph

Review in Campbell systematic reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Unlocking the potential of rice bean (Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems · 2026
    Article
  3. 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

11 authors.

Suchi Kapoor MalhotraCampbell South Asia Vasant Kunj Delhi India.ORCID https://orcid.org/0009-0002-9531-8718
Swati MantriCampbell South Asia Vasant Kunj Delhi India.
Neha GuptaCampbell South Asia Vasant Kunj Delhi India.
Ratika BhandariCampbell South Asia Vasant Kunj Delhi India.
Ralph Nii ArmahInstitute of Statistical, Social and Economic Research University of Ghana Accra Ghana.
Hamdiyah AlhassanDepartment of Applied Economics University for Development Studies Tamale Ghana.
Sarah YoungResearch and Academic Services Carnegie Mellon University Pittsburgh Pennsylvania USA.
Howard WhiteCampbell South Asia Vasant Kunj Delhi India.
Ranjitha PuskurSustainable Impact Platform, International Rice Research Institute Los Baños Philippines.
Hugh Sharma WaddingtonLondon School of Hygiene and Tropical Medicine London UK.
Edoardo MassetLondon School of Hygiene and Tropical Medicine, Centre of Excellence in Development Impact and Learning (CEDIL) London UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Value chain interventions have become widespread throughout the international development sector over the last 20 years, and there is a need to evaluate their effectiveness in improving women's welfare across multiple dimensions. Agricultural value chains are influenced by socio-cultural norms and gender dynamics that have an impact on the distribution of resources, benefits, and access to opportunities. While women play a critical role in agriculture, they are generally confined to the least-valued parts of the value chain with the lowest economic returns, depending on the local, social and institutional contexts. Objectives: The review assesses the effectiveness of approaches, strategies and interventions focused on women's engagement in agricultural value chains that lead to women's economic empowerment in low- and middle-income countries. It explores the contextual barriers and facilitators that determine women's participation in value chains and ultimately impact their effectiveness. Search Methods: We searched completed and on-going studies from Scopus, Web of Science Core Collection (Social Sciences Citation Index [SSCI], Science Citation Index Expanded [SCI-EXPANDED], Conference Proceedings Citation Index - Science [CPCI-S], Conference Proceedings Citation Index - Social Science & Humanities [CPCI-SSH], and Emerging Sources Citation Index [ESCI]), International Bibliography of the Social Sciences, EconLit, Business Source Premier, APA PsycInfo, Cochrane Central Register of Controlled Trials, Cochrane, Database of Systematic Reviews, CAB Abstracts and Sociological Abstracts. We also searched relevant websites such as Consortium of International Agricultural Research Centers (CGIAR); the International Fund for Agricultural Development (IFAD); AgriProFocus; the Bill & Melinda Gates Foundation (BMGF); Donor Committee for Enterprise Development; the UN Food and Agriculture Organisation (FAO); the International Labour Organisation (ILO); the Netherlands Development Organisation; USAID; the Swiss Agency for Development and Cooperation; the International Food Policy Research Institute; World Agroforestry; the International Livestock Research Institute; the Foreign, Commonwealth & Development Office; the British Library for Development Studies (BLDS); AGRIS; the IMMANA grant database; the 3ie impact evaluation database; Innovations for Poverty Action (IPA); The Abdul Latif Jameel Poverty Action Lab (J-PAL); the World Bank IEG evaluations; the USAID Development Data Library; Experience Clearinghouse; the proceedings of the Agriculture, Nutrition and Health Academy conference; the proceedings of the Centre for the Study of African Economies (CSAE) Conference; the proceedings of the North East Universities Development Consortium (NEUDC) Conference; and the World Bank Economic Review. The database search was conducted in March 2022, and the website search was completed in August 2022. Selection Criteria: The review includes value chain interventions evaluating the economic empowerment outcomes. The review includes effectiveness studies (experimental and non-experimental studies with a comparison group) and process evaluations. Data Collection and Analysis: Two review authors independently assessed studies for inclusion, extracted data, critically appraised the studies, and synthesised findings. Results: We found that value chain interventions are successful in improving the economic conditions of their intended beneficiaries. The interventions were found to improve women's economic outcomes such as income, assets holdings, productivity, and savings, but these effects were small in size and limited by low confidence in methodological quality. The meta-analysis suggests that this occurs more via the acquisition of skills and improved inputs, rather than through improvement in access to profitable markets. The qualitative evidence on interventions points to the persistence of cultural barriers and other constraints. Those interventions implemented in Sub-Saharan Africa and South Asia are consistently more successful for all outcomes considered, although there are few studies conducted in other areas of the world. Conclusions: The review concludes that value chain interventions empower women, but perhaps to a lesser extent than expected. Economic empowerment does not immediately translate into empowerment within families and communities. Interventions should either moderate their expectations of empowerment goals, or they should be implemented in a way that ensures higher rates of participation among women and the acquisition of greater decision-making power.

Indexed as

mixed‐method evidence synthesisself help groupssmallholder farmersvalue chainvalue chain interventionswomen's coperatives and fair tradewomen's economic empowerment

Identifiers

PMID39135892
PMCPMC11317815

What OpenQuestion holds

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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.