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Technical Efficiency of Teff Production Among Smallholder Farmers: Beta Regression Approach

Author

Listed:
  • Birara Endalew

    (Bahir Dar University)

  • Adugnaw Anteneh

    (Samara University)

  • Kassahun Tasie

    (Bahir Dar University)

Abstract

In Ethiopia, the traditional production system is not sufficient to feed the population growing at an alarming rate. Thus, targeting the efficiency of smallholder farmers have a substantial contribution to attain the maximum possible output with the existing inputs. Accordingly, this study analyzed the technical efficiency of teff production among smallholder farmers' using the stochastic frontier model. For this purpose, a total of 384 smallholder farmers were selected using a multistage sampling technique. Face-to-face interviews, focus group discussion and key informant interviews were used to collect quantitative and qualitative data. The result shows that the number of oxen, land size allocated to teff, amount of Diammonium Phosphate (DAP), urea, and seed significantly explain teff production function. About 25.8% of smallholder teff producer farmers operate below the maximum capacity given the level of technology. Moreover, age of the household head, livestock ownership, and market distance affect smallholder farmers to produce below the maximum capacity; whereas, credit service users and large land size owners were less inefficient than their counterparts. Therefore, special priority should be given to land productivity, urea, DAP, improved seed and oxen days to improve smallholder farmers’ technical efficiency in teff production. Additionally, policymakers should design and implement policies targeting smallholder farmers' sources of technical inefficiency in teff production. Moreover, the option for enhancing production and productivity through technical efficiency improvement technologies should be targeted to minimize sources of inefficiency in teff production.

Suggested Citation

  • Birara Endalew & Adugnaw Anteneh & Kassahun Tasie, 2022. "Technical Efficiency of Teff Production Among Smallholder Farmers: Beta Regression Approach," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(2), pages 1076-1096, April.
  • Handle: RePEc:pal:eurjdr:v:34:y:2022:i:2:d:10.1057_s41287-021-00417-w
    DOI: 10.1057/s41287-021-00417-w
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    1. Hailu, Getu & Weersink, Alfons & Minten, Bart J., 2015. "Rural Organizations, Agricultural Technologies and Production Efficiency of Teff in Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 211702, International Association of Agricultural Economists.
    2. Wakili Abba Mohammed, 2012. "Technical efficiency of sorghum production in hong local government area of Adamawa state, Nigeria," Russian Journal of Agricultural and Socio-Economic Sciences, CyberLeninka;Редакция журнала Russian Journal of Agricultural and Socio-Economic Sciences, vol. 6(6), pages 10-15.
    3. Papke, Leslie E. & Wooldridge, Jeffrey M., 2008. "Panel data methods for fractional response variables with an application to test pass rates," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 121-133, July.
    4. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    5. Minten, Bart & Tamru, Seneshaw & Engida, Ermias & Kuma, Tadesse, 2013. "Ethiopia’s value chains on the move: The case of teff:," ESSP working papers 52, International Food Policy Research Institute (IFPRI).
    6. Dawit K. Mekonnen & David J. Spielman & Esendugue Greg Fonsah & Jeffrey H. Dorfman, 2015. "Innovation systems and technical efficiency in developing-country agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 46(5), pages 689-702, September.
    7. Nitsuh, Haregitu, 2019. "MARKET CHAIN ANALYSIS OF TEFF (Eragrostistef): THE CASE OF DEJEN DISTRICT, EAST GOJAM ZONE,ETHIOPIA," Research Theses 302075, Collaborative Masters Program in Agricultural and Applied Economics.
    8. Getu Hailu & Alfons Weersink & Bart Minten, 2017. "Determinants of the Productivity of Teff in Ethiopia," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 29(4), pages 866-892, August.
    9. Anastasia Semykina & Jeffrey M. Wooldridge, 2018. "Binary response panel data models with sample selection and self‐selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(2), pages 179-197, March.
    10. 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.
    11. Bachewe, Fantu Nisrane & Koru, Bethelihem & Taffesse, Alemayehu Seyoum, 2015. "Smallholder Teff Productivity and Efficiency: Evidence from High-Potential Districts of Ethiopia," 2015 Conference, August 9-14, 2015, Milan, Italy 212257, International Association of Agricultural Economists.
    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. Christopher F Baum, 2008. "Stata tip 63: Modeling proportions," Stata Journal, StataCorp LP, vol. 8(2), pages 299-303, June.
    14. 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.
    15. 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.
    16. repec:ags:iaae15:211355 is not listed on IDEAS
    17. Simtowe, Franklin & Kassie, Menale & Asfaw, Solomon & Shiferaw, Bekele A. & Monyo, Emmanuel & Siambi, Moses, 2012. "Welfare Effects of Agricultural Technology adoption: the case of improved groundnut varieties in rural Malawi," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126761, International Association of Agricultural Economists.
    18. Cook, Douglas O. & Kieschnick, Robert & McCullough, B.D., 2008. "Regression analysis of proportions in finance with self selection," Journal of Empirical Finance, Elsevier, vol. 15(5), pages 860-867, December.
    19. Kusse Haile & Jema Haji & Bosena Tegegne, 2018. "Technical Efficiency of Sorghum Production: The Case of Smallholder Farmers in Konso District, Southern Ethiopia," Agricultural Development, Sophia, vol. 3(1), pages 1-15.
    20. 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, September.
    21. Tadie Mirie Abate & Abebe Birara Dessie & Taye Melese Mekie, 2019. "Technical efficiency of smallholder farmers in red pepper production in North Gondar zone Amhara regional state, Ethiopia," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-18, December.
    22. Kusse Haile & Benyam Tadesse* & Jema Haji & Bosena Tegegne, 2018. "Technical Efficiency of Sorghum Production: The Case of Smallholder Farmers in Konso District, Southern Ethiopia," Journal of Agriculture and Crops, Academic Research Publishing Group, vol. 4(5), pages 50-62, 05-2018.
    23. Hagos Weldegebriel, 2015. "The Determinants of Technical Efficiency of Farmers in Teff, Maize and Sorghum Production: empirical Evidence from Central Zone of Tigray Region," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 23(2), December.
    24. 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.
    25. 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.
    26. Ngango, Jules & Lee, Jungmyung & Kim, Seung Gyu, 2019. "Determinants of technical efficiency among small-scale coffee farmers in Rwanda," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 291139, Agricultural and Applied Economics Association.
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    Cited by:

    1. Yadeta Bedasa & Tsion Tekalign, 2024. "Technical efficiency of smallholder farmers in sesame production (Ethiopia)," SN Business & Economics, Springer, vol. 4(1), pages 1-20, January.

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