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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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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Lindikaya W. Myeki & Omphile Temoso & Bonani Nyhodo, 2024. "The evaluation of productivity in South African deciduous fruit industry: evidence from stone and pome fruits," Journal of Productivity Analysis, Springer, vol. 61(3), pages 321-332, June.
    7. 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.
    8. Bright O. Asante & Renato A. Villano & Omphile Temoso, 2024. "Drivers of integrated crop–livestock farming system’s efficiency for smallholder farmers in the forest-savanna transition agro-ecological zone of Ghana," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 29429-29451, November.

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