Agri-food value chain revolutions in low- and middle-income countries
Abstract
Agri-food value chains (AVCs) intermediate the flow of products between largely rural farmers, fisherfolk, or herders and increasingly urban consumers. The theoretical models that historically structured research on the economic development process assumed away AVC functions, however, and AVC firms and workers were necessarily omitted from the household data that generated most empirical findings in the agricultural and development economics literatures. As a result, the discipline has somewhat overlooked the rapid growth and structural change in AVCs over the past few decades that turned AVCs into major employers and sources of value addition, as well as key loci for technology transfer and foreign investment. This paper offers an integrated, structured, empirical narrative of how and why AVC revolutions occur in developing countries, the impacts of those changes, and the abundant economic research opportunities these structural changes afford economists. (JEL L14, L81, O13, O33, Q12, Q13, Q17)
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The largest global commodity traders sell inputs such as fertilizers, pesticides, and seeds to the producers who are also their suppliers of agricultural commodities, further shaping material aspects of the food system by determining the specific types of technologies used in production for significant portions of the market.
“For example, the largest global commodity traders sell inputs such as fertilizers, pesticides, and seeds to the producers who are also their suppliers of agricultural commodities, further shaping material aspects of the food system by determining the specific types of tech nologies used in production for significant portions of the market (e.g., Grabs and Carodenuto 2021; Barrett et al. 2”
From Corporate concentration and power matter for agency in food systems (2025) · cites this paper as Barrett et al. 2022
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Policy for Decent Work in Agriculture
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Food insecurity predicts well-being inequality
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A framework for researching African food systems
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Quality and quantity incentives under downstream contracts: A role for agricultural cooperatives?
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- Authors
- Barrett, C. B., Reardon, T., Swinnen, J., & Zilberman, D.
- Affiliations
- Cornell University (US)
- Michigan State University (US)
- International Food Policy Research Institute (US)
- University of California, Berkeley (US)
- Venue
- Journal of Economic Literature
- Publisher
- American Economic Association
- Published
- 2022-12-01
- Volume
- 60
- Issue
- 4
- Pages
- 1316-1377
- ISSN
- 0022-0515 (ISSN-L)
- OpenAlex
- W3121596959
- Cited by
- 371
- References
- 147
- Citations by year
- 2026: 117 · 2025: 89 · 2024: 58 · 2023: 72 · 2022: 22 · 2021: 11 · 2020: 2
- FWCI
- 84.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Economic Literature (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- IFPRI E-brary (International Food Policy Research Institute) (submittedVersion)
- CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (submittedVersion)
- International Food Policy Research Institute (International Food Policy Research Institute) (submittedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agriculture and Agroindustry Studies
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economics of Agriculture and Food Markets
- Social Sciences › Business, Management and Accounting › Strategy and Management › Global trade, sustainability, and social impact
- Keywords
- agri-food value chains, low- and middle-income countries, urban-rural relations, value addition, technology transfer, foreign investment, agricultural employment, economic development
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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