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The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index; none of the 31 sources its claims cite is checked for support yet.

Business-Based Strategies for Improved Nutrition: The Case of Grameen Danone Foods

Open access
Agnew, Jessica, Henson, Spencer·2018·IDS Bulletin

Abstract

There is increasing interest in the role that businesses can play in promoting the consumption of nutrient-dense foods as part of strategies to reduce the prevalence of micronutrient deficiencies in developing countries. To date, however, there has been little in-depth analysis of the extent to which viable business opportunities exist for nutrient-dense foods in the context of markets catering to communities. Furthermore, whether businesses can deliver sustainable improvements in the nutrition of poor populations at scale is not yet evident. This article examines the case of Grameen Danone Foods Ltd, a social enterprise that specifically aims to bring about improvements in the micronutrient status of poor children in Bangladesh through the sale of fortified yogurt. The article examines the degree to which this business has been successful at establishing a viable market for fortified yogurt amongst poor communities, and the challenges it has faced in trying to achieve this.

Overview

CoChat Summary

TL;DR

This case study of Grameen Danone Foods Ltd (GDFL) examines whether a social enterprise can market fortified yogurt to poor Bangladeshi communities while sustaining itself commercially. It finds GDFL raised awareness and achieved sales, but regular consumption remained below recommended levels and skewed toward less-poor households, leaving long-term viability and nutritional impact at scale uncertain.

Key findings

  • GDFL’s marketing raised awareness: among rural respondents aware of Shokti, 98% believed it was good for their child, 82% correctly cited at least one benefit, and 56% purchased it because of nutritional benefits.
  • Regular consumption was low: in the rural survey, 73% had ever purchased Shokti+, 50% in the last three months, and 28% were current consumers; only 21% of children aged 3–12 in households that purchased in the last week consumed three or more pots, and across all households only 6% consumed at least three pots.
  • Consumption skewed to less-poor, better-diet households: mean weekly income of households that purchased Shokti+ in the last week was 2,807BDT versus 1,818BDT for households unaware of Shokti+ (ANOVA <0.0001), and children in purchasing households had a mean diet diversity score of 5.2 versus 4.0 for the Rajshahi division.
  • Pricing and availability constrained use: 45% of purchasers cited financial constraints for not consuming more, 8% of non-purchasers cited affordability as the main reason not to purchase, and 52% of school respondents cited lack of availability as the primary reason for not consuming more frequently.

Methods

  • Case study of GDFL combining a desk review, in-depth interviews with GDFL managers (n=9), retailers (n=11), door-to-door sales team (n=3), and producers (n=2), plus value-chain mapping against a conceptual framework adapted from Henson and Humphrey (2015).
  • Rural community survey (n=1,000) using face-to-face interviews with the person primarily responsible for household food purchases, selected by multi-level proportional sampling in Bogra, Sirajganj, and Naogaon.
  • Urban school survey in randomly selected schools from districts in Dhaka, Chittagong, and Bogra with at least a 5% extreme poverty rate, interviewing 20 randomly selected children aged 8–12 per school; analysis included diet diversity scores (DDS) and ANOVA comparisons.

Limitations

  • The paper states that more analysis is needed across a broad range of business initiatives and contexts, and that lessons from GDFL may not translate well to businesses of differing size or in distinct contexts.
  • The paper states that GDFL is a more extreme example because Shokti+ was a novel product, and that questions remain about the scope for such nutritionally enhanced foods to have nutritional impacts on poor populations at scale.
  • Evident in the text: the survey evidence is cross-sectional and uses DDS as a proxy, so it cannot establish causal micronutrient impact; purchase and consumption data are self-reported, and the single-case design limits generalizability.

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Integrity signals

Registry

Crossref · 10.19088/1968-2018.103

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

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Figures

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Verification

Claims the paper makes

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Citations

Cites

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Metadata

Authors
Agnew, J., & Henson, S.
Affiliations
  • Virginia Tech (US)
  • University of Guelph (CA)
Venue
IDS Bulletin
Published
2018-01-31
Volume
49
Issue
1
ISSN
0265-5012 (ISSN-L)
OpenAlex
W2793900004
Cited by
14
References
14
Citations by year
2025: 3 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 6 · 2019: 2
FWCI
5.76
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • IDS Bulletin (publishedVersion, cc-by)
  • Figshare (submittedVersion, cc-by)
  • OpenDocs (Institute of Development Studies) (submittedVersion, cc-by)
Topics
  • Social Sciences › Business, Management and Accounting › Business and International Management › Innovation and Socioeconomic Development
  • Health Sciences › Nursing › Nutrition and Dietetics › Child Nutrition and Water Access
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Food Industry and Aquatic Biology
Keywords
micronutrient deficiency, social enterprises, nutrient-dense foods, child nutrition, low-income communities, market viability, Bangladesh

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CoChat. (2026). Citation check: Business-Based Strategies for Improved Nutrition: The Case of Grameen Danone Foods. https://app.cochat.ai/papers/10.19088/1968-2018.103
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Agnew, J., & Henson, S. (2018). Business-Based Strategies for Improved Nutrition: The Case of Grameen Danone Foods. IDS Bulletin. https://doi.org/10.19088/1968-2018.103

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.