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Yield Gaps and Technical Inefficiency Factors for Major Cereal Crops in Ethiopia: Panel Stochastic Frontier Approach

Author

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  • Debebe, Sisay
  • Gebre, Endale
  • Kuma, Tadesse

Abstract

Enhancing the productivity of major cereal crops by narrowing the yield gap between achieved and potential is intrinsically linked with the improvement of the technical inefficiency of crop production. The study aims to explore yield gaps and technical inefficiency factors for major cereals (maize, wheat, tef, sorghum, and barley) using longitudinal data sets from 2007/2008 to 2020/2021 and agricultural field survey data sets from the Central Statistics Authority and other official data sources in Ethiopia. A panel stochastic frontier approach using a true fixed-effect model was applied to estimate the elasticity coefficients of production, determinants of technical inefficiency, and their scores. The result shows productivity of the major cereals steadily increasing over the last fifteen years, with a higher rate of increase from 2013/2014 onwards, particularly for maize. However, the yield increase recorded for all major crops in 2020/2021 was below average compared to achievable yield levels recorded. The elasticity coefficients estimates with respect to cultivated area, area covered with local seed, labor, chemical fertilizer, and pesticide spray had a positive and significant effect on the crop outputs, indicating the importance of these inputs to enhancing production and productivity. However, capital and local seed had significant negative effects on sorghum and maize outputs; while use of chemical fertilizer for maize output only. The level of technical efficiency (TE) of farming improved with an increase in irrigated areas, extension service cover, amount of rainfall, and in some agroecologies. However, TE declined in moisture-sufficient agroecology for wheat and barley. Further, a mean TE score of 82.66% for maize, 85.04% for sorghum, 60.77% for wheat, 52.65% for barley, and 88.62% for teff output indicates the existence of various levels of inefficiencies. The study recommends narrowing productivity gaps for the major cereals through improving the supply and utilization of agricultural inputs, expanding irrigation, improving access to better technology; strengthening the extension system; and strengthening the agriculture-supporting research system.

Suggested Citation

  • Debebe, Sisay & Gebre, Endale & Kuma, Tadesse, 2022. "Yield Gaps and Technical Inefficiency Factors for Major Cereal Crops in Ethiopia: Panel Stochastic Frontier Approach," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 31(01), April.
  • Handle: RePEc:ags:eeaeje:343257
    DOI: 10.22004/ag.econ.343257
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    References listed on IDEAS

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    1. Yu, Bingxin & Nin-Pratt, Alejandro & Funes, José & Gemessa, Sinafikeh Asrat, 2011. "Cereal production and technology adoption in Ethiopia:," ESSP working papers 31, International Food Policy Research Institute (IFPRI).
    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. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    4. Banchayehu Tessema Assefa & Jordan Chamberlin & Pytrik Reidsma & João Vasco Silva & Martin K. Ittersum, 2020. "Correction to: Unravelling the variability and causes of smallholder maize yield gaps in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(2), pages 489-490, April.
    5. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    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. 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.
    8. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    9. Banchayehu Tessema Assefa & Jordan Chamberlin & Pytrik Reidsma & João Vasco Silva & Martin K. Ittersum, 2020. "Unravelling the variability and causes of smallholder maize yield gaps in Ethiopia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(1), pages 83-103, February.
    10. Renato Villano & Boris Bravo-Ureta & Daniel Solís & Euan Fleming, 2015. "Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(1), pages 129-154, February.
    11. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    12. Gela, Adugna & Haji, Jema & Ketema, Megistu & Abate, Hebtemariam, 2019. "Technical, Allocative And Economic Efficiencies Of Small-Scale Sesame Farmers: The Case Of West Gondar Zone, Ethiopia," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 22(2).
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