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Production risk and technical (in)efficiency amongst smallholder livestock farmers in Botswana: An exploratory investigation

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  • Amuakwa-Mensah, F.
  • Chube, B.
  • Surry, Y.
  • Bahta, S.

Abstract

This article investigates production (in)efficiency and production risk among smallholder livestock farmers in Botswana. Using cross-sectional data for beef production households, we estimate stochastic production frontier model that accommodates both technical inefficiency and production risk simultaneously. Heteroscedasticity is assumed for both inefficiency and production risk functions. Potential endogeneity of off-farm income is investigated using the control function approach. The empirical results indicate that the deterministic beef production function exhibits decreasing returns to scale and it is mainly explained by herd size and capital equipment. Non-linear relationship between inefficiency and herd size is established with an inverted U shape. Whereas, off-farm income reduces inefficiency, an increase rainfall and household size were found to increase inefficiency. In addition, production risk increases with an increase in maximum temperature and off-farm income but reduces with an increase in rainfall. The average inefficiency and risk scores for beef production are 9.4% and 3.2% respectively. Acknowledgement :

Suggested Citation

  • Amuakwa-Mensah, F. & Chube, B. & Surry, Y. & Bahta, S., 2018. "Production risk and technical (in)efficiency amongst smallholder livestock farmers in Botswana: An exploratory investigation," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277276, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae18:277276
    DOI: 10.22004/ag.econ.277276
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    1. Ashok K. Mishra & Barry K. Goodwin, 1997. "Farm Income Variability and the Supply of Off-Farm Labor," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 880-887.
    2. Amsler, Christine & Prokhorov, Artem & Schmidt, Peter, 2017. "Endogenous environmental variables in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 199(2), pages 131-140.
    3. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    4. Raushan Bokusheva & Heinrich Hockmann, 2006. "Production risk and technical inefficiency in Russian agriculture," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(1), pages 93-118, March.
    5. Kumbhakar, Sabul C., 1993. "Production risk, technical efficiency, and panel data," Economics Letters, Elsevier, vol. 41(1), pages 11-16.
    6. G. Battese & A. Rambaldi & G. Wan, 1997. "A Stochastic Frontier Production Function with Flexible Risk Properties," Journal of Productivity Analysis, Springer, vol. 8(3), pages 269-280, August.
    7. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107029514, October.
    8. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
    9. Awudu Abdulai & Hendrik Tietje, 2007. "Estimating technical efficiency under unobserved heterogeneity with stochastic frontier models: application to northern German dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 34(3), pages 393-416, September.
    10. Sherlund, Shane M. & Barrett, Christopher B. & Adesina, Akinwumi A., 2002. "Smallholder technical efficiency controlling for environmental production conditions," Journal of Development Economics, Elsevier, vol. 69(1), pages 85-101, October.
    11. Richard E. Just & Rulon D. Pope, 1979. "Production Function Estimation and Related Risk Considerations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 276-284.
    12. Bahta, Sirak & Malope, Patrick, 2014. "Measurement of competitiveness in smallholder livestock systems and emerging policy advocacy: An application to Botswana," Food Policy, Elsevier, vol. 49(P2), pages 408-417.
    13. Dalila Cervantes-Godoy & Shingo Kimura & Jesús Antón, 2013. "Smallholder Risk Management in Developing Countries," OECD Food, Agriculture and Fisheries Papers 61, OECD Publishing.
    14. Kumbhakar, Subal C & Biswas, Basudeb & Bailey, DeeVon, 1989. "A Study of Economic Efficiency of Utah Dairy Farmers: A System Approach," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 595-604, November.
    15. David Hadley, 2006. "Patterns in Technical Efficiency and Technical Change at the Farm‐level in England and Wales, 1982–2002," Journal of Agricultural Economics, Wiley Blackwell, vol. 57(1), pages 81-100, March.
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    Livestock Production/Industries;

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