Are market‐based solutions a viable strategy for addressing micronutrient deficiency? Lessons from case studies in sub‐Saharan Africa and South Asia
Bibliographic record
Abstract
Abstract Motivation While public and civil sector nutrition interventions in low‐ and middle‐income countries have demonstrated positive impacts on nutritional status, micronutrient deficiency remains persistent and severe. Accordingly, there is much debate about the viability of market‐based strategies directed at reducing micronutrient deficiencies among the poor, particularly concerning the role businesses can take. Purpose This article explores the potential for both large and micro/small businesses to engage in markets for nutrient‐dense foods. It examines the challenges businesses face in establishing and maintaining sustainable business models and whether these businesses can achieve the scale required to achieve substantive impacts on the nutrition of the poor. Methodology This article presents a comprehensive literature review and in‐depth case studies of market‐based initiatives directed at enhancing the access of the poor to nutrient‐dense foods. The case studies involved analysis of secondary data and interviews with stakeholders, including value chain actors, civil society organizations, government officials, etc. Findings All bottom of the pyramid (BOP) businesses face considerable challenges in the context of markets for nutrient‐dense foods directed at the poor that relate to the difficulties faced in presenting a viable value proposition to consumers and in distributing products to the places where the poor reside, while achieving sustainable scale. Importantly, the results indicate a critical role for micro/small businesses in promoting the consumption of nutrient‐dense foods by the poor. Policy implications The findings raise important questions over the role and focus of public support to businesses looking to enter and/or expand in markets for nutrient‐dense foods directed at the poor, and especially with respect to micro/small businesses as opposed to large/multinational corporations. Originality The article presents the first comparative analysis of market‐based strategies of micro/small to large businesses directed at reducing micronutrient deficiencies in the poor.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".