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Determinants of technical efficiency among smallholder upland rice farmers in northern Uganda—a Cobb–Douglas stochastic frontier approach

Author

Listed:
  • Francisca Ndinda Muteti

    (Gulu University)

  • Irine Akite

    (Gulu University)

  • Taddias Prince Mpofu

    (Gulu University)

  • Basil Mugonola

    (Gulu University)

Abstract

In this paper, we estimate the technical efficiency levels among upland rice farmers in northern Uganda. A cross-sectional survey was conducted, and data were collected from a randomly selected sample of 248 farmers. By applying a Cobb–Douglas stochastic production frontier model, the study aims to gain insights into the efficiency of rice production and identify factors that contribute to it. The findings indicate that there is a scope for improvement in the technical efficiency of upland rice farmers in the region. The study identifies key factors that significantly impact rice output; land, labour, and the quantity of seeds used. Moreover, certain farmer characteristics such as membership in a farmer group, level of education, the type of rice buyer, and household size were found to reduce technical inefficiency among rice producers. These results underscore the importance of understanding individual farmer constraints and addressing barriers related to smallholder organizations and institutions to enhance upland rice productivity. The findings also highlight the need for farmer training programs that specifically target the efficient use of inputs in rice production. By providing farmers with the necessary knowledge and skills, such programs can contribute to improving overall efficiency in upland rice farming and environmental sustainability.

Suggested Citation

  • Francisca Ndinda Muteti & Irine Akite & Taddias Prince Mpofu & Basil Mugonola, 2024. "Determinants of technical efficiency among smallholder upland rice farmers in northern Uganda—a Cobb–Douglas stochastic frontier approach," SN Business & Economics, Springer, vol. 4(1), pages 1-20, January.
    • Handle: RePEc:spr:snbeco:v:4:y:2024:i:1:d:10.1007_s43546-023-00597-z
    DOI: 10.1007/s43546-023-00597-z
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    References listed on IDEAS

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    1. William Greene, 2010. "A stochastic frontier model with correction for sample selection," Journal of Productivity Analysis, Springer, vol. 34(1), pages 15-24, August.
    2. 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.
    3. Pokrivcak, J. & Michalek, J. & Ciaian, P., 2018. "The impact of producer organisations on farm performance: A case study of large farms in Slovakia," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277485, International Association of Agricultural Economists.
    4. Marios Obwona., 2006. "Determinants of technical efficiencydifferentials amongst small- andmedium-scale farmers in Uganda: Acase of tobacco growers," Working Papers 152, African Economic Research Consortium, Research Department.
    5. Florin-Marius PAVELESCU, 2011. "Some aspects of the translog production function estimation," Romanian Journal of Economics, Institute of National Economy, vol. 32(1(41)), pages 131-150, June.
    6. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    7. Hisatoshi Hoken & Qun Su, 2018. "Measuring the effect of agricultural cooperatives on household income: Case study of a rice‐producing cooperative in China," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 831-846, October.
    8. Darla Munroe, 2001. "Economic Efficiency in Polish Peasant Farming: An International Perspective," Regional Studies, Taylor & Francis Journals, vol. 35(5), pages 461-471.
    9. Nasima Tanveer Chowdhury, 2016. "The Relative Efficiency of Hired and Family Labour in Bangladesh Agriculture," Journal of International Development, John Wiley & Sons, Ltd., vol. 28(7), pages 1075-1091, October.
    10. Guancheng Guo & Qiyu Wen & Jingjuan Zhu, 2015. "The Impact of Aging Agricultural Labor Population on Farmland Output: From the Perspective of Farmer Preferences," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-7, October.
    11. Adebayo Abass & Paul Amaza & Beatrice Bachwenkizi & Kelly Wanda & Ambrose Agona & Nicolaus Cromme, 2017. "The impact of mechanized processing of cassava on farmers’ production efficiency in Uganda," Applied Economics Letters, Taylor & Francis Journals, vol. 24(2), pages 102-106, January.
    12. Ahmad, Munir & Boris E., Bravo-Ureta, 1996. "Technical efficiency measures for dairy farms using panel data: a comparison of alternative model specifications," MPRA Paper 37703, University Library of Munich, Germany.
    13. Alan Collins & Richard I. D. Harris, 2005. "The Impact Of Foreign Ownership And Efficiency On Pollution Abatement Expenditure By Chemical Plants: Some Uk Evidence," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(5), pages 747-768, November.
    14. Musa Hasen Ahmed & Kumilachew Alamerie Melesse, 2018. "Impact of off-farm activities on technical efficiency: evidence from maize producers of eastern Ethiopia," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-15, December.
    15. Daniel Micheal Okello & Jackline Bonabana-Wabbi & Basil Mugonola, 2019. "Farm level allocative efficiency of rice production in Gulu and Amuru districts, Northern Uganda," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-19, December.
    16. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    17. Dupraz, Pierre & Latruffe, Laure, 2015. "Trends in family labour, hired labour and contract work on French field crop farms: The role of the Common Agricultural Policy," Food Policy, Elsevier, vol. 51(C), pages 104-118.
    18. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    19. Mugonola, Basil & Vranken, Liesbet & Maertens, Miet & Deckers, Jozef & Taylor, Daniel B & Bonabana-Wabbi, Jackline & Mathijs, Erik, 2013. "Soil and water conservation technologies and technical efficiency in banana production in upper Rwizi micro-catchment, Uganda," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 8(1), pages 1-16, July.
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