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Land Area Measurement bias: Evidence from West African countries

Author

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  • GOUNDAN, Anatole
  • MAGNE DOMGHO, Léa Vicky

Abstract

Planted and harvested areas are crucial for agricultural statistics. In developing countries, such statistics are estimated using farmers’ reports which are systematically biased. Given the importance of the area size in designing policy and in farmers’ wealth, it is essential to empirically assess that bias for the countries in order to inform the potential impact of that issue in different contexts. This paper, therefore, contributes to analyzing farmers’ plot size estimation bias in four West African countries (Burkina Faso, Mali, Niger, and Nigeria). The paper also explores the determinants of the bias in land measurement in these countries. Our findings indicate that the bias in land measurement is a serious issue among West African countries and varies between 14% and 171% (in absolute value) of the correct area size. In terms of the determinants of acreage discrepancy, our findings reveal that the respondents’ age, education, land acquisition status, plot size, area unit measurement, are influential.

Suggested Citation

  • GOUNDAN, Anatole & MAGNE DOMGHO, Léa Vicky, 2016. "Land Area Measurement bias: Evidence from West African countries," MPRA Paper 75476, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:75476
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    References listed on IDEAS

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    1. Carletto, Calogero & Savastano, Sara & Zezza, Alberto, 2013. "Fact or artifact: The impact of measurement errors on the farm size–productivity relationship," Journal of Development Economics, Elsevier, vol. 103(C), pages 254-261.
    2. 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.
    3. Calogero Carletto & Sydney Gourlay & Paul Winters, 2015. "Editor's choice From Guesstimates to GPStimates: Land Area Measurement and Implications for Agricultural Analysis," Journal of African Economies, Centre for the Study of African Economies, vol. 24(5), pages 593-628.
    4. De Groote, Hugo & Traore, Oumar, 2005. "The cost of accuracy in crop area estimation," Agricultural Systems, Elsevier, vol. 84(1), pages 21-38, April.
    5. Carletto, Calogero & Gourlay, Sydney & Murray, Siobhan & Zezza, Alberto, 2015. "Welcome to Fantasyland: Comparing Approaches To Land Area Measurement In Household Surveys," 2015 Conference, August 9-14, 2015, Milan, Italy 211849, International Association of Agricultural Economists.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Area estimation; land measurement; GPS measure; acreage gap; West Africa.;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

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