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Influence of agricultural extension services on technical efficiency of maize farmers in Malawi

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  • Jolex, Aubrey

Abstract

Recognising potential selection bias due to non-randomness of the data, this study used propensity score matching on data from a nationally representative fifth Integrated Household Survey (IHS5) to investigate the effect of agriculture extension services on the technical efficiency of maize farmers in Malawi. Technical efficiency levels were estimated using the stochastic frontier model. The results show that most farmers are technically efficient, with an average technical efficiency of 63%. This indicates that there is still a possibility to increase maize output by 37% using the same level of inputs. The results of the propensity score matching reveal that having access to agricultural extension services significantly increases maize farmers’ technical efficiency, by about 4%. This evidence presents an opportunity not only for farmers, but also for the relevant policymakers, to realise the potential of using agricultural extension services to enhance the production capacity of maize farmers.

Suggested Citation

  • Jolex, Aubrey, 2022. "Influence of agricultural extension services on technical efficiency of maize farmers in Malawi," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(1), March.
    • Handle: RePEc:ags:afjare:333956
    DOI: 10.22004/ag.econ.333956
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    1. Nicolas Lampach & Phu Nguyen-Van & Nguyen To-The, 2018. "Measuring the Effect of Agricultural Extension on Technical Efficiency in Crop Farming: Meta-Regression Analysis," Working Papers of BETA 2018-48, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    2. Ragasa, Catherine & Mazunda, John, 2018. "The impact of agricultural extension services in the context of a heavily subsidized input system: The case of Malawi," World Development, Elsevier, vol. 105(C), pages 25-47.
    3. Schmidt, Peter & Lin, Tsai-Fen, 1984. "Simple tests of alternative specifications in stochastic frontier models," Journal of Econometrics, Elsevier, vol. 24(3), pages 349-361, March.
    4. E.T. Seyoum & G.E. Battese & E.M. Fleming, 1998. "Technical efficiency and productivity of maize producers in eastern Ethiopia: a study of farmers within and outside the Sasakawa‐Global 2000 project," Agricultural Economics, International Association of Agricultural Economists, vol. 19(3), pages 341-348, December.
    5. Benson, Todd, 2021. "Disentangling food security from subsistence agriculture in Malawi," IFPRI books, International Food Policy Research Institute (IFPRI), number 9780896294059.
    6. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, June.
    7. Ragasa, Catherine & Niu, Chiyu, 2017. "The state of agricultural extension and advisory services provision in Malawi: Insights from household and community surveys," MaSSP reports 2017, International Food Policy Research Institute (IFPRI).
    8. 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.
    9. Benson, Todd, 2021. "Disentangling food security from subsistence agriculture in Malawi: Synopsis," IFPRI synopses 9780896294073, International Food Policy Research Institute (IFPRI).
    10. De Weerdt, Joachim & Duchoslav, Jan, 2022. "Guiding principles of AIP reform," MaSSP policy notes 43, International Food Policy Research Institute (IFPRI).
    11. Owens, Trudy & Hoddinott, John & Kinsey, Bill, 2003. "The Impact of Agricultural Extension on Farm Production in Resettlement Areas of Zimbabwe," Economic Development and Cultural Change, University of Chicago Press, vol. 51(2), pages 337-357, January.
    12. Bempomaa, Beatrice & Acquah, Henry de-Graft, 2014. "Technical Efficiency Analysis of Maize Production: Evidence from Ghana," APSTRACT: Applied Studies in Agribusiness and Commerce, AGRIMBA, vol. 8(2-3), pages 1-7, September.
    13. Jules Ngango & Seung Gyu Kim, 2019. "Assessment of Technical Efficiency and Its Potential Determinants among Small-Scale Coffee Farmers in Rwanda," Agriculture, MDPI, vol. 9(7), pages 1-12, July.
    14. Seyoum, E. T. & Battese, G. E. & Fleming, E. M., 1998. "Technical efficiency and productivity of maize producers in eastern Ethiopia: a study of farmers within and outside the Sasakawa-Global 2000 project," Agricultural Economics, Blackwell, vol. 19(3), pages 341-348, December.
    15. Wallace E. Huffman, 1977. "Allocative Efficiency: The Role of Human Capital," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(1), pages 59-79.
    16. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    17. 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.
    18. Denise Young & Honghai Deng, 1999. "The effects of education in early-stage agriculture: some evidence from China," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1315-1323.
    19. Jamison, Dean T. & Moock, Peter R., 1984. "Farmer education and farm efficiency in Nepal: The role of schooling, extension services, and cognitive skills," World Development, Elsevier, vol. 12(1), pages 67-86, January.
    20. Owens, Trudy & Hoddinott, John & Kinsey, Bill, 2003. "The Impact of Agricultural Extension on Farm Production in Resettlement Areas of Zimbabwe," Economic Development and Cultural Change, University of Chicago Press, vol. 51(2), pages 337-357, January.
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