Your search found 5 records
1 Seckler, D.; Gollin, D.; Antoine, P. 1992. Agricultural potential of Mid-Africa: A Technological assessment. Arlington, VA, USA: Winrock International. 66p. (Discussion paper no.5)
Economic policy ; Agricultural economics ; Agricultural production ; Technology ; Crops ; Plant diseases ; Pests / Africa South of Sahara
(Location: IWMI-HQ Call no: P 3501 Record No: H014650)
2 Gollin, D.. 2000. Setting priorities for agricultural research: Theory and experience. In Watanabe, K.; Komamine, A. (Eds.), Challenge of plant and agricultural sciences to the crisis of biosphere on the earth in the 21st century. Georgetown, TX, USA: Landes Bioscience. pp.51-61.
(Location: IWMI-HQ Call no: 631.5 G000 WAT Record No: H026695)
3 Evenson, R. E.; Gollin, D.. (Eds.) 2003. Crop variety improvement and its effect on productivity: The impact of international agricultural research. Wallingford, UK: CABI. xxv, 522p.
Rice ; Paddy fields ; Ecology ; Wheat ; Maize ; Sorghum ; Millets ; Barley ; Beans ; Groundnuts ; Cassava ; Crop production ; Economic impact / Asia / Latin America / Africa / China
(Location: IWMI-HQ Call no: 631.7.1 G000 SOM Record No: H032658)
4 Evenson, R. E.; Gollin, D.. 2003. Assessing the impact of the green revolution, 1960 to 2000. Science, 300:758-762.
(Location: IWMI-HQ Call no: P 7080 Record No: H035841)
5 Wollburg, P.; Bentze, T.; Lu, Y.; Udry, C.; Gollin, D.. 2024. Crop yields fail to rise in smallholder farming systems in Sub-Saharan Africa. PNAS, 121(21):e2312519121. [doi: https://doi.org/10.1073/pnas.2312519121]
Agricultural productivity ; Farming systems ; Smallholders ; Crop yield ; Models ; Sustainable Development Goals ; Agricultural development ; Agricultural research ; Crop production ; Households / Africa South of Sahara
(Location: IWMI HQ Call no: e-copy only Record No: H052828)
https://www.pnas.org/doi/pdf/10.1073/pnas.2312519121?download=true
https://vlibrary.iwmi.org/pdf/H052828.pdf
https://vlibrary.iwmi.org/pdf/H052828.pdf
(0.24 MB) (244 KB)
Drawing on a harmonized longitudinal dataset covering more than 55,000 smallholder farms in six African countries, we analyze changes in crop productivity from 2008 to 2019. Because smallholder farmers represent a significant fraction of the world’s poorest people, agricultural productivity in this context matters for poverty reduction and for the broader achievement of the UN Sustainable Development Goals. Our analysis measures productivity trends for nationally representative samples of smallholder crop farmers, using detailed data on agricultural inputs and outputs which we integrate with detailed data on local weather and environmental conditions. In spite of government commitments and international efforts to strengthen African agriculture, we find no evidence that smallholder crop productivity improved over this 12-y period. Our preferred statistical specification of total factor productivity (TFP) suggests an overall decline in productivity of -3.5% per year. Various other models we test also find declining productivity in the overall sample, and none of them finds productivity growth. However, the different countries in our sample experienced varying trends, with some instances of growth in some regions. The results suggest that major challenges remain for agricultural development in sub-Saharan Africa. They complement previous analyses that relied primarily on aggregate national statistics to measure agricultural productivity, rather than detailed microdata.
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