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The impact of climate change on cropland productivity: evidence from satellite based products at the river basin scale in Africa


  • Elodie Blanc
  • Eric Strobl


We investigate the effect of climate change on crop productivity in Africa using satellite derived data on land use and net primary productivity (NPP) at a small river basin scale, distinguishing between the impact of local and upper-catchment weather. Regression results show that both of these are determining factors of local cropland productivity. These estimates are then combined with climate change predictions obtained from two general circulation models (GCMs) under two greenhouse gas emissions (GHG) assumptions to evaluate the impact of climate change by 2100. For some scenarios significant decreases are predicted over the northern and southern parts of Africa. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Elodie Blanc & Eric Strobl, 2013. "The impact of climate change on cropland productivity: evidence from satellite based products at the river basin scale in Africa," Climatic Change, Springer, vol. 117(4), pages 873-890, April.
  • Handle: RePEc:spr:climat:v:117:y:2013:i:4:p:873-890
    DOI: 10.1007/s10584-012-0604-4

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    References listed on IDEAS

    1. Badiane, Ousmane & Delgado, Christopher L., 1995. "A 2020 vision for food, agriculture, and the environment in Sub-Saharan Africa:," 2020 vision discussion papers 4, International Food Policy Research Institute (IFPRI).
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    4. Barrios, Salvador & Ouattara, Bazoumana & Strobl, Eric, 2008. "The impact of climatic change on agricultural production: Is it different for Africa?," Food Policy, Elsevier, vol. 33(4), pages 287-298, August.
    5. John C. Driscoll & Aart C. Kraay, 1998. "Consistent Covariance Matrix Estimation With Spatially Dependent Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 549-560, November.
    6. Schuol, J. & Abbaspour, K.C., 2007. "Using monthly weather statistics to generate daily data in a SWAT model application to West Africa," Ecological Modelling, Elsevier, vol. 201(3), pages 301-311.
    7. Ravallion, Martin, 1994. "Measuring Social Welfare with and without Poverty Lines," American Economic Review, American Economic Association, vol. 84(2), pages 359-364, May.
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    Cited by:

    1. Blanc, Elodie, 2019. "Statistical Emulators of Irrigated Crop Yields and Irrigation Water Requirements," Conference papers 333018, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Elodie Blanc & Eric Strobl, 2014. "Is Small Better? A Comparison of the Effect of Large and Small Dams on Cropland Productivity in South Africa," The World Bank Economic Review, World Bank, vol. 28(3), pages 545-576.
    3. Elodie Blanc, 2017. "Aggregation of Gridded Emulated Rainfed Crop Yield Projections at the National or Regional Level," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 2(2), pages 112-127, December.
    4. Elodie Blanc & Ilan Noy, 2022. "Impacts of Droughts and Floods on Agricultural Productivity in New Zealand as Measured from Space," CESifo Working Paper Series 9634, CESifo.
    5. Russ,Jason Daniel & Zaveri,Esha Dilip & Damania,Richard & Desbureaux,Sebastien Gael & Escurra,Jorge Jose & Rodella,Aude-Sophie, 2020. "Salt of the Earth : Quantifying the Impact of Water Salinity on Global Agricultural Productivity," Policy Research Working Paper Series 9144, The World Bank.
    6. Zaveri, Esha D. & Russ, Jason & Damania, Richard, 2017. "Drenched Fields and Parched Farms: Evidence along the Extensive and Intensive Margins," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258409, Agricultural and Applied Economics Association.

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