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Agricultural Statistics

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  • Morten Jerven

Abstract

In developing economies the data on agricultural production are weak. Because these data are assembled using competing methods and assumptions, the final series are subject to political pressure, particularly when the government is subsidizing agricultural inputs. This paper draws on debates on the effect of crop data subsidies in Malawi. The recent agricultural census (2006/2007) indicates a maize output of 2.1 million tonnes, compared to the previously widely circulated figures of 3.4 million tonnes. The paper suggests that ‘data' are themselves a product of agricultural policies.

Suggested Citation

  • Morten Jerven, 2013. "Agricultural Statistics," World Economics, World Economics, 1 Ivory Square, Plantation Wharf, London, United Kingdom, SW11 3UE, vol. 14(1), pages 1-10, January.
    • Handle: RePEc:wej:wldecn:543
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    File URL: https://www.worldeconomics.com/Journal/Papers/Article.details?ID=543
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    Cited by:

    1. Reynolds, Travis W. & Anderson, C. Leigh & Slakie, Elysia & Gugerty, Mary Kay, 2015. "How Common Crop Yield Measures Misrepresent Productivity among Smallholder Farmers," 2015 Conference, August 9-14, 2015, Milan, Italy 212485, International Association of Agricultural Economists.
    2. Calogero Carletto & Dean Jolliffe & Raka Banerjee, 2015. "From Tragedy to Renaissance: Improving Agricultural Data for Better Policies," Journal of Development Studies, Taylor & Francis Journals, vol. 51(2), pages 133-148, February.
    3. James Sumberg & John Jatoe & Ulrich Kleih & Justin Flynn, 2016. "Ghana’s evolving protein economy," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(5), pages 909-920, October.
    4. Jerven, Morten, 2014. "African growth miracle or statistical tragedy? Interpreting trends in the data over the past two decades," WIDER Working Paper Series 114, World Institute for Development Economic Research (UNU-WIDER).
    5. Holden, Stein & Fisher, Monica, 2013. "Can area measurement error explain the inverse farm size productivity relationship?," CLTS Working Papers 12/13, Norwegian University of Life Sciences, Centre for Land Tenure Studies, revised 10 Oct 2019.
    6. Andrew Kerner & Morten Jerven & Alison Beatty, 2017. "Does it pay to be poor? Testing for systematically underreported GNI estimates," The Review of International Organizations, Springer, vol. 12(1), pages 1-38, March.
    7. Reynolds, Travis W. & Anderson, C. Leigh & Slakie, Elysia & Gugerty, Mary Kay, 2015. "How Common Crop Yield Measures Misrepresent Productivity among Smallholder Farmers," 2015 Conference, August 9-14, 2015, Milan, Italy 212294, International Association of Agricultural Economists.
    8. Vandercasteelen, Joachim & Dereje, Mekdim & Minten, Bart & Taffesse, Alemayehu Seyoum, 2013. "Scaling-up adoption of improved technologies: The impact of the promotion of row planting on farmers’ teff yields in Ethiopia:," ESSP working papers 60, International Food Policy Research Institute (IFPRI).

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