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Measurement of agricultural productivity in Africa south of Sahara: A spatial typology application:

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  • Yu, Bingxin
  • Guo, Zhe

Abstract

The great diversity of agricultural activities and practices across the African continent has significant implications for technology transfer and productivity growth. This paper compiles diverse spatial data on biophysical conditions, farming systems, demographics, and infrastructure to spatially disaggregate country targets into subsystem units, namely agricultural production zones. The resulting typologies highlight the limitations of simple national aggregates and reveal remarkable heterogeneity in the subsystems within the country. The typologies provide a natural linkage between national-level analysis and localized production information and can help policymakers in refining national agricultural strategies through location- and subsystem-oriented policies based on local comparative advantages and constraints. The classification is useful in identifying commonalities beyond a country’s borders and hence encourages cross learning and joint efforts in scaling up policies.

Suggested Citation

  • Yu, Bingxin & Guo, Zhe, 2015. "Measurement of agricultural productivity in Africa south of Sahara: A spatial typology application:," IFPRI discussion papers 1410, International Food Policy Research Institute (IFPRI).
  • Handle: RePEc:fpr:ifprid:1410
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    References listed on IDEAS

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    1. Nkamleu, Guy Blaise, 2007. "Religious faith and agricultural growth: exploring some correlations in Africa," MPRA Paper 11131, University Library of Munich, Germany, revised 2007.
    2. Klaus Deininger & Derek Byerlee & Jonathan Lindsay & Andrew Norton & Harris Selod & Mercedes Stickler, 2011. "Rising Global Interest in Farmland : Can it Yield Sustainable and Equitable Benefits?," World Bank Publications, The World Bank, number 2263.
    3. Anna Makles, 2012. "Stata tip 110: How to get the optimal k-means cluster solution," Stata Journal, StataCorp LP, vol. 12(2), pages 347-351, June.
    4. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    5. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike, 2009. "Generating plausible crop distribution maps for Sub-Saharan Africa using a spatially disaggregated data fusion and optimization approach," Agricultural Systems, Elsevier, vol. 99(2-3), pages 126-140, February.
    6. Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 159-179, June.
    7. Beatrice Conradie & Jenifer Piesse & Colin Thirtle, 2009. "District‐level total factor productivity in agriculture: Western Cape Province, South Africa, 1952–2002," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 265-280, May.
    8. Dorosh, Paul & Wang, Hyoung-Gun & You, Liang & Schmidt, Emily, 2010. "Crop production and road connectivity in Sub-Saharan Africa : a spatial analysis," Policy Research Working Paper Series 5385, The World Bank.
    9. Nkamleu, Guy Blaise & Nyemeck, Joachim & Sanogo, Diakalia, 2006. "Metafrontier Analysis of Technology Gap and Productivity Difference in African Agriculture," MPRA Paper 15103, University Library of Munich, Germany.
    10. Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2006. "Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 657-670.
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    Keywords

    productivity; Agricultural policies; Markets; Market access; Economic development; Population density; Typology; farming systems;

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