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Understanding the Effect of Land Fragmentation on Farm Level Efficiency: An Application of Quantile Regression-Based Thick Frontier Approach to Maize Production in Kenya

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  • Kiplimo, L.B.
  • Ngeno, V.

Abstract

Amidst declining agricultural productivity, farm level efficiency and persistent food security problems in Africa, land fragmentation is emerging as a key empirical and policy question in the region. In this paper, a novel approach is used to estimate the effects of land fragmentation. Quantile Regression-Based Thick Frontier (TFA) is applied to show how the overall change in landholding affects production efficiency in production. Applying cross-sectional survey data from Kenya, the results showed that the least efficient group of maize farmers in Kenya were those with the small average land holding attaining a maximum output of 70% of the actual attainable output. In terms of scale of production, the least efficient group fall short by 58% compared to their large scale peers. This approach is semi-parametric requiring few assumptions with simplified figures easy for policy communication.

Suggested Citation

  • Kiplimo, L.B. & Ngeno, V., 2016. "Understanding the Effect of Land Fragmentation on Farm Level Efficiency: An Application of Quantile Regression-Based Thick Frontier Approach to Maize Production in Kenya," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 249280, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae16:249280
    DOI: 10.22004/ag.econ.249280
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    References listed on IDEAS

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    Cited by:

    1. Debonne, Niels & van Vliet, Jasper & Ramkat, Rose & Snelder, Denyse & Verburg, Peter, 2021. "Farm scale as a driver of agricultural development in the Kenyan Rift Valley," Agricultural Systems, Elsevier, vol. 186(C).

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    Keywords

    Crop Production/Industries; Land Economics/Use;

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