IDEAS home Printed from https://ideas.repec.org/a/taf/ragrxx/v54y2015i2p1-17.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03031853.2015.1065186
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/03031853.2015.1065186?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Keh, Hean Tat & Chu, Singfat, 2003. "Retail productivity and scale economies at the firm level: a DEA approach," Omega, Elsevier, vol. 31(2), pages 75-82, April.
    2. da Silva, Aneirson Francisco & Miranda, Rafael de Carvalho & Marins, Fernando Augusto Silva & Dias, Erica Ximenes, 2024. "A new multiple criteria data envelopment analysis with variable return to scale: Applying bi-dimensional representation and super-efficiency analysis," European Journal of Operational Research, Elsevier, vol. 314(1), pages 308-322.
    3. Soteriou, Andreas C. & Zenios, Stavros A., 1999. "Using data envelopment analysis for costing bank products," European Journal of Operational Research, Elsevier, vol. 114(2), pages 234-248, April.
    4. Kaoru Tone, 2001. "On Returns to Scale under Weight Restrictions in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 16(1), pages 31-47, July.
    5. Sang-Lyul Ryu & Jayoun Won, 2022. "The Value Relevance of Operational Innovation: Insights from the Perspective of Firm Life Cycle," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    6. Adel Hatami-Marbini & Zahra Ghelej Beigi & Jens Leth Hougaard & Kobra Gholami, 2014. "Estimating Returns to Scale in Imprecise Data Envelopment Analysis," MSAP Working Paper Series 07_2014, University of Copenhagen, Department of Food and Resource Economics.
    7. Zahoor Khan & Jamalludin Sulaiman, 2015. "Social and Financial Efficiency of Microfinance Institutions in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 54(4), pages 389-403.
    8. Andreas Dellnitz & Elmar Reucher & Andreas Kleine, 2021. "Efficiency evaluation in data envelopment analysis using strong defining hyperplanes," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(2), pages 441-465, June.
    9. Zarepisheh, M. & Soleimani-damaneh, M., 2009. "A dual simplex-based method for determination of the right and left returns to scale in DEA," European Journal of Operational Research, Elsevier, vol. 194(2), pages 585-591, April.
    10. Ouellette, Pierre & Quesnel, Jean-Patrice & Vigeant, Stéphane, 2012. "Measuring returns to scale in DEA models when the firm is regulated," European Journal of Operational Research, Elsevier, vol. 220(2), pages 571-576.
    11. Banker, Rajiv D. & Chang, Hsihui & Lee, Seok-Young, 2010. "Differential impact of Korean banking system reforms on bank productivity," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1450-1460, July.
    12. Francisco Pedraja-Chaparro & Javier Salinas-Jimenez & Peter Smith, 1997. "On the Role of Weight Restrictions in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 8(2), pages 215-230, May.
    13. Taleb, Mushtaq & Khalid, Ruzelan & Ramli, Razamin & Ghasemi, Mohammad Reza & Ignatius, Joshua, 2022. "An integrated bi-objective data envelopment analysis model for measuring returns to scale," European Journal of Operational Research, Elsevier, vol. 296(3), pages 967-979.
    14. Wang, Ying-Ming & Lan, Yi-Xin, 2013. "Estimating most productive scale size with double frontiers data envelopment analysis," Economic Modelling, Elsevier, vol. 33(C), pages 182-186.
    15. Thanassoulis, Emmanuel, 2000. "DEA and its use in the regulation of water companies," European Journal of Operational Research, Elsevier, vol. 127(1), pages 1-13, November.
    16. K. Tone & M. Tsutsui, 2015. "How to Deal with Non-Convex Frontiers in Data Envelopment Analysis," Journal of Optimization Theory and Applications, Springer, vol. 166(3), pages 1002-1028, September.
    17. Førsund, Finn & Krivonozhko, Vladimir W & Lychev, Andrey V., 2016. "Smoothing the frontier in the DEA models," Memorandum 11/2016, Oslo University, Department of Economics.
    18. Cesaroni, Giovanni & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2017. "Global and local scale characteristics in convex and nonconvex nonparametric technologies: A first empirical exploration," European Journal of Operational Research, Elsevier, vol. 259(2), pages 576-586.
    19. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    20. Stefan Seifert, 2016. "Semi-Parametric Measures of Scale Characteristics of German Natural Gas-Fired Electricity Generation," Discussion Papers of DIW Berlin 1571, DIW Berlin, German Institute for Economic Research.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:ragrxx:v:54:y:2015:i:2:p:1-17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/ragr20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.