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Agricultural productivity, efficiency and growth in a semi-arid country: a case study of Botswana

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  • Temoso, Omphile
  • Villano, Renato
  • Hadley, David

Abstract

This paper attempts to examine and revisit the trends in agricultural productivity in Botswana. Using secondary data from six regions of Botswana for the period 1979 to 2012, we estimate components of total factor productivity (TFP) using the Färe-Primont index. Estimates of technical change and changes in technical efficiency, scale efficiency and mix efficiency are obtained. The results show that the annual TFP has declined gradually over the period, predominantly due to a decline in technical efficiency and a slight decline in mix efficiency and scale efficiency. The regions with a significant proportion of arable agriculture performed worse than those that specialise in livestock production, thus confirming the comparative advantage of extensive livestock production in semi-arid countries such as Botswana. This study shows how the finer decomposition of TFP into different measures may assist in the identification of the main drivers of productivity and associated policies.

Suggested Citation

  • Temoso, Omphile & Villano, Renato & Hadley, David, 2015. "Agricultural productivity, efficiency and growth in a semi-arid country: a case study of Botswana," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 10(3), pages 1-15, September.
    • Handle: RePEc:ags:afjare:211667
    DOI: 10.22004/ag.econ.211667
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    References listed on IDEAS

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    7. David Hadley & Euan Fleming & Renato Villano, 2013. "Is Input Mix Inefficiency Neglected in Agriculture? A Case Study of Pig-based Farming Systems in England and Wales," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 505-515, June.
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    Cited by:

    1. Bahta, S. & Temoso, O. & Mekonnen, D. & Malope, P. & Staal, S., 2018. "Technical efficiency of beef production in agricultural districts of Botswana: A Latent Class Stochastic Frontier Model Approach," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277207, International Association of Agricultural Economists.
    2. Lindikaya W. Myeki & Yonas T. Bahta & Nicolette Matthews, 2022. "Exploring the Growth of Agricultural Productivity in AFRICA: A Färe-Primont Index Approach," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    3. Temoso, Omphile & Villano, Renato & Hadley, David, 2016. "Evaluating the productivity gap between commercial and traditional beef production systems in Botswana," Agricultural Systems, Elsevier, vol. 149(C), pages 30-39.
    4. William G. Moseley, 2016. "Agriculture on the Brink: Climate Change, Labor and Smallholder Farming in Botswana," Land, MDPI, vol. 5(3), pages 1-14, June.
    5. Omphile Temoso & Lindikaya W. Myeki, 2023. "Estimating South African Higher Education Productivity and Its Determinants Using Färe-Primont Index: Are Historically Disadvantaged Universities Catching Up?," Research in Higher Education, Springer;Association for Institutional Research, vol. 64(2), pages 206-227, March.
    6. Asif Reza Anik & Sanzidur Rahman & Jaba Rani Sarker, 2017. "Agricultural Productivity Growth and the Role of Capital in South Asia (1980–2013)," Sustainability, MDPI, vol. 9(3), pages 1-24, March.

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