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The Determinants Of Farm-Level Technical Efficiency Among Adopters Of Improved Maize Production Technology In Western Ethiopia

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  • Alene, AD
  • Hassan, RM

Abstract

A translog stochastic production fronter was used to analyse the technical efficiency of small farmers using improved maize production technology in Western Ethiopia. The study estimated a mean technical efficiency for the entire sample of 76%, indicating that a significant potential for gains from efficiency improvement in maize production remains to be exploited even among users of improved technology. The study also revealed that farm size, education, access to credit and timely availability of modern inputs are important determinants of technical efficiency among maize producers in Ethiopia. Policies and strategies that promote rural education, credit, timely availability of inputs through better infrastructure and markets will be greatly instrumental in realising considerable gains in maize production with available farm resources through more efficient and appropriate use of improved technology.

Suggested Citation

  • Alene, AD & Hassan, RM, 2003. "The Determinants Of Farm-Level Technical Efficiency Among Adopters Of Improved Maize Production Technology In Western Ethiopia," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 42(1).
    • Handle: RePEc:ags:agreko:246009
    DOI: 10.22004/ag.econ.246009
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    References listed on IDEAS

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    1. 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.
    2. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    3. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
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    1. Gebregziabher, Gebrehaweria & Namara, Regassa E. & Holden, Stein, 2012. "Technical Efficiency of Irrigated and Rain-Fed Smallholder Agriculture in Tigray, Ethiopia: A Comparative Stochastic Frontier Production Function Analysis," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 51(3), pages 1-24, August.
    2. John N. Ng’ombe, 2017. "Technical efficiency of smallholder maize production in Zambia: a stochastic meta-frontier approach," Agrekon, Taylor & Francis Journals, vol. 56(4), pages 347-365, October.
    3. Aziz Karimov, 2014. "Factors affecting efficiency of cotton producers in rural Khorezm, Uzbekistan: Re-examining the role of knowledge indicators in technical efficiency improvement," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 2(1), pages 1-16, December.
    4. Djuraeva, Mukhayyo & Bobojonov, Ihtiyor & Kuhn, Lena & Glauben, Thomas, 2023. "The impact of agricultural extension type and form on technical efficiency under transition: An empirical assessment of wheat production in Uzbekistan," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 203-221.
    5. Zainab Oyetunde-Usman & Kehinde Oluseyi Olagunju, 2019. "Determinants of Food Security and Technical Efficiency among Agricultural Households in Nigeria," Economies, MDPI, vol. 7(4), pages 1-13, October.
    6. Windinkonté SEOGO & W. Jean-Pierre SAWADOGO, 2020. "Technical Efficiency Analysis of Millet Production in the Sahel Region of Burkina Faso," Journal of Social and Development Sciences, AMH International, vol. 11(1), pages 10-18.

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