The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Nutrition Transition and the Structure of Global Food Demand
Open accessAbstract
Estimating future demand for food is a critical aspect of global food security analyses. The process linking dietary changes to wealth is known as the nutrition transition and presents well‐identified features that help to predict consumption changes in poor countries. This study proposes to represent the nutrition transition with a nonhomothetic, flexible‐in‐income demand system. The resulting model is estimated statistically based on cross‐sectional information from FAOSTAT. The model captures the main features of the nutrition transition: rise in demand for calories associated with income growth; diversification of diets away from starchy staples; and a large increase in caloric demand for animal‐based products, fats, and sweeteners. The estimated model is used to project food demand between 2010 and 2050 based on a set of plausible futures (trend projections and Shared Socioeconomic Pathways scenarios). The main results of these projections are: (a) global food demand will increase by 47%, less than half the growth in the previous four decades; (b) this growth will be attributable mainly to lower‐middle‐income and low‐income countries; (c) the structure of global food demand will change over the period, with a doubling of demand for animal‐based calories and a much smaller 19% increase in demand for starchy staples; and (d) the analysis of a range of population and income projections reveals important uncertainties—depending on the scenario, the projected increases in demand for animal‐based and vegetal‐based calories range from 74% to 114%, and from 20% to 42%, respectively.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Food Security: The Challenge of Feeding 9 Billion People
Godfray, H. C. J., Beddington, J. R., Crute, I. R., Haddad, L., Lawrence, D., Muir, J. F., Pretty, J., Robinson, S., Thomas, S. M., & Toulmin, C. (2010) · Science · doi:10.1126/science.1185383 · Cited by 11,943
Global nutrition transition and the pandemic of obesity in developing countries
Popkin, B. M., Adair, L. S., & Ng, S. W. (2012) · Nutrition Reviews · doi:10.1111/j.1753-4887.2011.00456.x · Cited by 4,313
Herrero, M., Havlík, P., Valin, H., Notenbaert, A., Rufino, M. C., Thornton, P. K., Blümmel, M., Weiss, F., Grace, D., & Obersteiner, M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308149110 · Cited by 1,254
Increasing homogeneity in global food supplies and the implications for food security
Khoury, C. K., Bjorkman, A. D., Dempewolf, H., Ramirez-Villegas, J., Guarino, L., Jarvis, A., Rieseberg, L. H., & Struik, P. C. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313490111 · Cited by 1,114
The future of food demand: understanding differences in global economic models
Valin, H., Sands, R. D., van der Mensbrugghe, D., Nelson, G. C., Ahammad, H., Blanc, E., Bodirsky, B., Fujimori, S., Hasegawa, T., Havlik, P., et al. (2014) · Agricultural Economics · doi:10.1111/agec.12089 · Cited by 561
Hertel, T. W., Ramankutty, N., & Baldos, U. L. C. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1403543111 · Cited by 141
Calorie elasticities with income dynamics: Evidence from the literature
Zhou, D., & Yu, X. (2015) · Applied Economic Perspectives and Policy · doi:10.1093/aepp/ppu043 · Cited by 49 · cited 3×
“Calorie-income elasticities have been studied extensively in the past three decades and two meta-analyzes of this literature have been recently published (Ogundari and Abdulai 2013; Zhou and Yu 2014).”
BackgroundInfluential
Cited by
Economic growth, convergence, and world food demand and supply
Fukase, E., & Martin, W. (2020) · World Development · doi:10.1016/j.worlddev.2020.104954 · Cited by 384
Meat Consumption and Sustainability
Parlasca, M. C., & Qaim, M. (2022) · Annual Review of Resource Economics · doi:10.1146/annurev-resource-111820-032340 · Cited by 357
Digital innovations for sustainable and resilient agricultural systems
Finger, R. (2023) · European Review of Agricultural Economics · doi:10.1093/erae/jbad021 · Cited by 304
Genetic Variation and Unintended Risk in the Context of Old and New Breeding Techniques
Singer, S. D., Laurie, J. D., Bilichak, A., Kumar, S., & Singh, J. (2021) · Critical Reviews in Plant Sciences · doi:10.1080/07352689.2021.1883826 · Cited by 77
Metadata
- Authors
- Gouel, C., & Guimbard, H.
- Venue
- American Journal of Agricultural Economics
- Publisher
- Wiley
- Published
- 2018-06-19
- Volume
- 101
- Issue
- 2
- Pages
- 383-403
- ISSN
- 0002-9092 (ISSN-L)
- 1467-8276
- OpenAlex
- W2605676529
- Cited by
- 164
- References
- 7
- FWCI
- 19.56
- Type
- journal article
- Language
- en
- Open access
- green
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Nutrition Transition and the Structure of Global Food Demand. https://app.cochat.ai/papers/10.1093/ajae/aay030
- The paper
- Gouel, C., & Guimbard, H. (2019). Nutrition Transition and the Structure of Global Food Demand. American Journal of Agricultural Economics. https://doi.org/10.1093/ajae/aay030
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.