Poverty eradication and food security through agriculture in Africa: rethinking objectives and entry points
Open accessAbstract
Agriculture in Africa is expected to meet the dual objectives of providing food and helping people to escape poverty. African agriculture is dominated by smallholdings and donors generally target their agricultural support at the smallholder sector. The expectation is that if the gap between actual and potential yields can be closed, smallholders will grow sufficient crops to feed their families, with a surplus to sell, thus meeting food security needs and bringing in an income to move them out of poverty. In practice, this is often not possible. While technologies already exist that can raise smallholder farmers’ yields 3 or 4 times, even under rainfed conditions, the small size of land available to them limits how much can be grown and the per capita income from agriculture is insufficient to allow people to move above the current World Bank-defined poverty line of US$1.90 per day. We link this finding with farmer typologies to further explain that there are large differences between individual farming households themselves in terms of their investment incentives and capability to benefit from field-level technologies that are aimed at increasing farm productivity. We argue for more differentiated policies for agricultural development in Africa and suggest that policymakers should be much more aware of the heterogeneity of farms and target interventions accordingly. It is important to understand where and for whom agriculture will have the main purpose of ensuring food and nutritional security and where and for whom there is the potential for significant increases in incomes and a contribution to wider economic growth. Let us recognize the distinctiveness of these targets and underlying target groups and work towards solutions that address the underlying needs.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A major share of Africa's population is dependent upon rainfed agriculture.
“Given that a major share of Africa's population is dependent upon rainfed agriculture (Gassner et al 2019)”
From The impact of deforestation on rainfall in Africa: a data-driven assessment (2021) · cites this paper as Gassner et al 2019
In “The trouble with mixing food and income targets” (page unavailable), the paper says farming in sub-Saharan Africa is almost exclusively rainfed. “The rationale for mixing poverty and food security” says most people living on less than US$1.90 a day are rural and depend to some extent on agriculture. Neither passage establishes that a major share of Africa’s total population depends on rainfed agriculture. (LLM, conf=0.82)
Experimental — accuracy not yet measuredIn Africa, a large proportion of the population is dependent upon rainfed agriculture.
“In Africa, a large proportion of the population is dependent upon rainfed agriculture (Gassner et al 2019).”
From The impact of deforestation on rainfall in Africa: a data-driven assessment (2021) · cites this paper as Gassner et al 2019
In “The trouble with mixing food and income targets,” the paper says farming in sub-Saharan Africa is almost exclusively rainfed. In “Policy implications,” it describes families depending on smallholder farms, but it does not establish that a large proportion of Africa’s population depends on rainfed agriculture. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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 · see citing works
The number, size, and distribution of farms, smallholder farms, and family farms worldwide
Lowder, S. K., Skoet, J., & Raney, T. (2016) · World Development · doi:10.1016/j.worlddev.2015.10.041 · Cited by 2,012 · see citing works
Flagged first, then by citations
Research works printed but not linked: 25
- Dercon S Gilligan DO Hoddinott J, et al. (2009) The impact of agricultural extension and roads on poverty and consumption growth in fifteen Ethiopian villages. American Journal of Agricultural Economics 91: 1007– 1021.
- Dercon S Gollin D (2014) Agriculture in African development: theories and strategies. Annual Review of Resource Economics 6: 471– 492.
- Duflo E Kremer M Robinson J (2011) Nudging farmers to use fertilizer: theory and experimental evidence from Kenya. American Economic Review 101(6): 2350– 2390.
- Ellis F Freeman HA (2004) Rural livelihoods and poverty reduction strategies in four African countries. Journal of Development Studies 40(4): 1– 30.
- Gassner A Coe R Sinclair F (2013) Improving food security through increasing the precision of agricultural development In: Oliver M Bishop T Marchant B (eds) Precision Agriculture for Sustainability and Environmental Protection. Abingdon: Earthscan, Routledge, pp. 34– 57.
- Gatzweiler FW von Braun J (2016) Innovation for marginalized smallholder farmers and development: an overview and implications for policy and research In: Gatzweiler F von Braun J (eds) Technological and Institutional Innovations for Marginalized Smallholders in Agricultural Development. Cham: Springer, pp. 1– 22.
- Glover D Sumberg J Ton G, et al. (2019) Rethinking technological change in smallholder agriculture. Outlook on Agriculture 48(3): 169– 180.
- Godfray HCJ Garnett T (2014) Food security and sustainable intensification. Philosophical Transactions of the Royal Society B 369 DOI: 10.1098/rstb.2012.0273. PMC3928882 24535385 · DOI
- Haggblade S Hazell P Reardon T (2010) The rural non-farm economy: prospects for growth and poverty reduction. World Development 38(10): 1429– 1441.
- Harris D (2019) Intensification benefit index: how much can rural households benefit from agricultural intensification? Experimental Agriculture 55(2): 273– 287.
- Ihli HJ Brian C Musshoff O (2016) Do changing probabilities or payoffs in lottery-choice experiments affect risk preference outcomes? Evidence from rural Uganda. Journal of Agricultural and Resource Economics 41(2): 324– 345.
- Kelley T Ryan J Gregersen H (2008) Enhancing ex post impact assessment of agricultural research: the CGIAR experience. Research Evaluation 17(3): 201– 212.
- Kimura S Otsuka K Sonobe T, et al. (2011) Efficiency of land allocation through tenancy markets: evidence from China. Economic Development and Cultural Change 59(3): 485– 510.
- Mausch K Harris D Heather E, et al. (2018) Households’ aspirations for rural development through agriculture. Outlook on Agriculture 47(2): 108– 115.
- Orr A Dejen A Galen P, et al. (2019) Smallholder risk management solutions (SRMS) in Malawi and Ethiopia – replicable business model, Ethiopia: social inclusion and impact evaluation. Oxford Policy Management Working paper, UK.
- Renkow M Byerlee D (2010) The impacts of CGIAR research: a review of recent evidence. Food Policy 35(5): 391– 402.
- Rosenzweig MR Binswanger HP (1993) Wealth, weather risk and the composition and profitability of agricultural investments. Economic Journal 103: 56– 78.
- Sachs J (2005) The End of Poverty: How We Can Make It Happen in Our Lifetime. London: Penguin.
- Smale M Byerlee D Jayne T (2013) Maize revolutions in sub-Saharan Africa In: Otsuka K Larson DF (eds) An African Green Revolution. Berlin: Springer, pp. 165– 195.
- Tittonell P Muriuki A Shepherd KD, et al. (2010) The diversity of rural livelihoods and their influence on soil fertility in agricultural systems of East Africa – a typology of smallholder farms. Agricultural Systems 103(2): 83– 97.
- Toenniessen G Adesina A DeVries J (2008) Building an alliance for a green revolution in Africa. Annals of the New York Academy of Sciences 1136: 233– 242. 18579885
- UN (2015) United Nations millennium development goals. Available at: http://www.un.org/millenniumgoals/ (accessed 11 November 2019). 28285005
- Verkaart S Mausch K Harris D (2018) Who are those people we call farmers? Rural Kenyan aspirations and realities. Development in Practice 28(4): 468– 479.
- World Bank (2015) World Development Report 2015: Mind, Society, and Behavior. Washington, DC: World Bank DOI: 10.1596/978-1-4648-0342-0. · DOI · Paper page
- World Bank (2016) Poverty and Shared Prosperity 2016: Taking on Inequality. Washington, DC: World Bank DOI: 10.1596/978-1-4648-0958-3. · DOI
Cited by
Sorted by citations
The impact of deforestation on rainfall in Africa: a data-driven assessment
Duku, C., & Hein, L. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/abfcfb · Cited by 51 · see citing works
- Authors
- Gassner, A., Harris, D., Mausch, K., Terheggen, A., Lopes, C., Finlayson, R., & Dobie, P.
- Affiliations
- International Rice Research Institute (PH)
- Bangor University (GB)
- World Agroforestry Centre (KE)
- University of Oxford (GB)
- Corresponding author
- Gassner, A
- Venue
- Outlook on Agriculture
- Publisher
- SAGE Publications
- Published
- 2019-11-21
- Volume
- 48
- Issue
- 4
- Pages
- 309-315
- ISSN
- 0030-7270 (ISSN-L)
- 2043-6866
- PMC
- PMC7684531
- OpenAlex
- W2989811794
- Cited by
- 189
- References
- 2
- Citations by year
- 2026: 13 · 2025: 22 · 2024: 26 · 2023: 40 · 2022: 35 · 2021: 44 · 2020: 8 · 2019: 1
- FWCI
- 45.63
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Outlook on Agriculture (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (submittedVersion, other-oa)
- Funders
- Bundesministerium für Wirtschaftliche Zusammenarbeit und Entwicklung (n.a.)
- Topics
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Innovations and Practices
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Economics and Practices
- Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Research and Practices
- Keywords
- poverty eradication, food security, smallholder farmers, agricultural development policy, farmer typology, farm heterogeneity, yield gap, per capita income, differentiated policy, target groups, agricultural technology adoption
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