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Technical efficiency, soil fertility and farmers’ perception: evidence from smallholder maize production in Kenya

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  • Olwande, John

Abstract

Soil infertility is one of the main reasons for low and stagnated agricultural productivity in subSaharan Africa. Because little scope exists for cropland expansion, agricultural productivity growth through technological change, increased efficiency in use of productive resources, or both remains a priority. This paper applies the stochastic frontier analysis framework to data on maize production in Kenya and estimates technical efficiency while controlling for environmental production conditions (soil fertility condition and rainfall) and agronomic practices, and evaluates the effect of farmers’ perception of soil fertility on technical efficiency. Maize farmers are generally technically inefficient, indicating existence of scope for yield improvement through better management of inputs. Farmers’ perception of soil fertility explains variation in technical efficiency, underscoring the importance of enhancing farmers’ understanding of the soil fertility status of their farms for appropriate input and agronomic management choices. Failure to account for heterogeneity in environmental production conditions and agronomic practices significantly underestimates technical efficiency and can lead to inaccurate inference.

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  • Olwande, John, 2023. "Technical efficiency, soil fertility and farmers’ perception: evidence from smallholder maize production in Kenya," 2023 Seventh AAAE/60th AEASA Conference, September 18-21, 2023, Durban, South Africa 365901, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae23:365901
    DOI: 10.22004/ag.econ.365901
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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. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    3. 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, November.
    4. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    5. Besley, Timothy, 1995. "Property Rights and Investment Incentives: Theory and Evidence from Ghana," Journal of Political Economy, University of Chicago Press, vol. 103(5), pages 903-937, October.
    6. Justin Kagin & J. Edward Taylor & Antonio Yúnez-Naude, 2016. "Inverse Productivity or Inverse Efficiency? Evidence from Mexico," Journal of Development Studies, Taylor & Francis Journals, vol. 52(3), pages 396-411, March.
    7. Benjamin, Dwayne, 1995. "Can unobserved land quality explain the inverse productivity relationship?," Journal of Development Economics, Elsevier, vol. 46(1), pages 51-84, February.
    8. Melinda Smale & John Olwande, 2014. "Demand for maize hybrids and hybrid change on smallholder farms in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 45(4), pages 409-420, July.
    9. Mubarak Ali & Derek Byerlee, 1991. "Economic efficiency of small farmers in a changing world: A survey of recent evidence," Journal of International Development, John Wiley & Sons, Ltd., vol. 3(1), pages 1-27.
    10. Torben Tiedemann & Uwe Latacz-Lohmann, 2013. "Production Risk and Technical Efficiency in Organic and Conventional Agriculture – The Case of Arable Farms in Germany," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(1), pages 73-96, February.
    11. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    12. Yanyan Liu & Robert Myers, 2009. "Model selection in stochastic frontier analysis with an application to maize production in Kenya," Journal of Productivity Analysis, Springer, vol. 31(1), pages 33-46, February.
    13. Parmeter, Christopher F. & Kumbhakar, Subal C., 2014. "Efficiency Analysis: A Primer on Recent Advances," Foundations and Trends(R) in Econometrics, now publishers, vol. 7(3-4), pages 191-385, December.
    14. Mochebelele, Motsamai T. & Winter-Nelson, Alex, 2000. "Migrant Labor and Farm Technical Efficiency in Lesotho," World Development, Elsevier, vol. 28(1), pages 143-153, January.
    15. Kumbhakar, Subal C. & Parmeter, Christopher F. & Tsionas, Efthymios G., 2013. "A zero inefficiency stochastic frontier model," Journal of Econometrics, Elsevier, vol. 172(1), pages 66-76.
    16. Ariga, Joshua & Jayne, Thomas S., 2009. "Private sector responses to public investments and policy reforms: The case of fertilizer and maize market development in Kenya," IFPRI discussion papers 921, International Food Policy Research Institute (IFPRI).
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