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Productivity benchmarking of free-range sheep operations for Laingsburg, South Africa

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  • Beatrice Conradie
  • Jenifer Piesse

Abstract

Data envelopment analysis (DEA) was used to benchmark extensive sheep operations in Laingsburg in the Central Karoo, South Africa, with data from the 2012 production season. An input oriented variable returns to scale frontier identified twelve efficient firms, and nine more that are technically efficient but not scale efficient. The top third's overall efficiency score was 0.999. For the bottom third, the average efficiency score was just 0.346, which indicates that there is substantial room for improvement among bottom third producers in this production system. Overall, efficiency was correlated with stocking density, flock size, unit production cost and profitability, cumulative family experience of farming and the use of family labour, but not with farm size, breed choice or any proxy for individual experience or ability. Predation rates in particular were uncorrelated with productivity scores and reproductive performance was only weakly correlated with it. While most farms could theoretically improve their efficiency by intensifying their operations, a closer analysis of best practice firms revealed a spectrum of optimal intensities, including the possibility of restoring rangelands by deliberate understocking. Grazing strategy and the degree of labour self-sufficiency emerged as the key determinants of optimal intensity.

Suggested Citation

  • Beatrice Conradie & Jenifer Piesse, 2015. "Productivity benchmarking of free-range sheep operations for Laingsburg, South Africa," Agrekon, Taylor & Francis Journals, vol. 54(2), pages 1-17, June.
  • Handle: RePEc:taf:ragrxx:v:54:y:2015:i:2:p:1-17
    DOI: 10.1080/03031853.2015.1065186
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    References listed on IDEAS

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    1. Banker, Rajiv D. & Thrall, R. M., 1992. "Estimation of returns to scale using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 62(1), pages 74-84, October.
    2. J.S.F. Wessels & B.J. Willemse, 2013. "The impact of changed land use on farmland values and farmland valuations: An example from the south-eastern Nama Karoo," Agrekon, Taylor & Francis Journals, vol. 52(sup1), pages 133-151, March.
    3. Reed, L.L. & Kleynhans, Theo E., 2009. "Agricultural land purchases for alternative uses – evidence from two farming areas in the Western Cape province, South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 48(3), pages 1-20, September.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
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    Cited by:

    1. Lindikaya W. Myeki & Nkhanedzeni B. Nengovhela & Livhuwani Mudau & Elvis Nakana & Simphiwe Ngqangweni, 2022. "Estimation of Technical, Allocative, and Economic Efficiencies for Smallholder Broiler Producers in South Africa," Agriculture, MDPI, vol. 12(10), pages 1-14, October.
    2. Conradie, Beatrice & Piesse, Jenifer, 2016. "Ranking perceived risk to farmers: How important is the environment?," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 11(4), pages 1-14, December.

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