Technical Efficiency of Smallholder Barley Producers in Ethiopia
DOI:
https://doi.org/10.54536/ajebi.v3i2.2971Keywords:
Barley, Ethiopia, Stochastic Frontier Model, Technical EfficiencyAbstract
This study aimed to measure the level of technical efficiency and sources of inefficiency for barley producers in Ethiopia. Primary data was collected from 626 smallholder farmers using a multi-stage sampling technique. The stochastic frontier model was employed to assess the efficiency level, and the result revealed a mean technical efficiency of 79.24 % and an average productivity of 2.2 tons/hectare. This result implies that the productivity of barley producers is 20.76 % behind the potential, and solving all sources of inefficiencies and proper utilization of the production variables will assure the productivity of barley producers to 2.8 tons/hectare. All the production variables, labor, seed, fertilizer, agrochemicals, oxen power, and plot size showed a positive and significant relation to the barley output. Similarly, the squared values and the interaction between production variables were also the most important variables. The inefficiency model also revealed the importance of adopting improved varieties and access to vocational training. Therefore, this study recommends implementing policies and strategies in favor of technology adoption through arranging vocational training to enhance productivity and transform the agricultural sector.
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Aigner, D., Lovell, C. A. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21–37. https://doi.org/10.1016/0304-4076(77)90052-5
Bahta, Y. T., Owusu-Sekyere, E., & Tlalang, B. E. (2018). Assessing participation in homestead food garden programmes, land ownership and their impact on productivity and net returns of smallholder maize producers in South Africa. Agrekon, 57(1), 49–63. https://doi.org/10.1080/03031853.2018.1437051
Bakshi, S., Kamble, S., Jambhulkar, S., Bhati, P., & Kumar, U. (2023). Developing Sustainable and Health Promoting Cereals and Pseudocereals Transgenic approaches for nutritional quality improvement of cereals and pseudocereals (pp. 285–313). https://doi.org/10.1016/B978-0-323-90566-4.00004-7
Battese, G. E., & Coelli, T. J. (1992). Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India. Journal of Productivity Analysis, 3(1), 153–169. https://doi.org/10.1007/BF00158774
Battese, G. E., & Coelli, T. J. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20(2), 325–332. https://doi.org/10.1007/BF01205442
Biru, W. D., Zeller, M., & Loos, T. K. (2020). The Impact of Agricultural Technologies on Poverty and Vulnerability of Smallholders in Ethiopia: A Panel Data Analysis. Social Indicators Research, 147(2), 517–544. https://doi.org/10.1007/s11205-019-02166-0
ESS. (2022). Area and Production for Major Crops (Private Peasant Holdings, Meher Season) 2021/22 (2014 E.C.). Ethiopian Statistical Service. https://www.statsethiopia.gov.et/our-survey-reports/
FAOSTAT. (2024). Crops and livestock products Data. Food and Agricultural Organization of the United Nations. https://www.fao.org/faostat/en/#data/QCL
Fuglie, K. O., Morgan, S., & Jelliffe, J. (Eds.). (2024). World Agricultural Production, Resource Use, and Productivity, 1961–2020. https://doi.org/10.22004/ag.econ.341638
Gadisa, M., & Addisu, G. (2022). Impact of Technology Adoption on Household Income: The Case of Tef in Dendi District, Ethiopia. International Journal of Agricultural Research, 17(4), 173–180. https://doi.org/10.3923/ijar.2022.173.180
Houeninvo, G. H., Célestin Quenum, C. V., & Nonvide, G. M. A. (2020). Impact of improved maize variety adoption on smallholder farmers’ welfare in Benin. Economics of Innovation and New Technology, 29(8), 831–846. https://doi.org/10.1080/10438599.2019.1669331
Khonje, M., Manda, J., Alene, A. D., & Kassie, M. (2015). Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia. World Development, 66, 695–706. https://doi.org/10.1016/j.worlddev.2014.09.008
Kumbhakar, S., Wang, H., & Horncastle, A. (2015). A Practitioner’s Guide to Stochastic Frontier Analysis Using Stata. Cambridge University Press. https://doi.org/10.1017/CBO9781139342070
Laskowski, W., Górska-Warsewicz, H., Rejman, K., Czeczotko, M., & Zwolińska, J. (2019). How Important are Cereals and Cereal Products in the Average Polish Diet? Nutrients, 11(3), Article 3. https://doi.org/10.3390/nu11030679
Makate, C., Wang, R., Makate, M., & Mango, N. (2017). Impact of drought tolerant maize adoption on maize productivity, sales and consumption in rural Zimbabwe. Agrekon, 56(1), 67–81. https://doi.org/10.1080/03031853.2017.1283241
Meeusen, W., & Broeck. (1977). Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error. International Economic Review, 18(2), 435–444. https://doi.org/10.2307/2525757
Mengistu, F., Kirub, A., & Zegeye, F. (2017). Retrospects and Prospects of Ethiopian Agricultural Research. Ethiopian Institute of Agricultural Research.
Muleta, G., & Getahun, A. (2022). Technical, Allocative, and Economic Efficiency of Potato Producers in Central Oromia, Ethiopia. International Journal of Business and Economics Research, 11, 158–165. https://doi.org/10.11648/j.ijber.20221103.17
Shimeles, A., Verdier-Chouchane, A., & Boly, A. (2018). Introduction: Understanding the Challenges of the Agricultural Sector in Sub-Saharan Africa (pp. 1–12). https://doi.org/10.1007/978-3-319-76222-7_1
Tadesse, D., & Derso, B. (2019). The status and constraints of food barley production in the North Gondar highlands, North Western Ethiopia. Agriculture & Food Security, 8(1), 3. https://doi.org/10.1186/s40066-018-0248-3
Tesfaye, S., Bedada, B., & Mesay, Y. (2016). Impact of improved wheat technology adoption on productivity and income in Ethiopia. African Crop Science Journal, 24(1), Article 1. https://doi.org/10.4314/acsj.v24i1.14S
Tricase, C., Amicarelli, V., Lamonaca, E., Rana, R. L., Tricase, C., Amicarelli, V., Lamonaca, E., & Rana, R. L. (2018). Economic Analysis of the Barley Market and Related Uses. In Grasses as Food and Feed. IntechOpen. https://doi.org/10.5772/intechopen.78967
Wake, R. D., & Habteyesus, D. G. (2019). Impact of high yielding wheat varieties adoption on farm income of smallholder farmers in Ethiopia. International Journal of Agricultural Extension, 7(1), Article 1.
Wang, H.-J., & Horncastle, A. (2015). A Practitioner’s Guide to Stochastic Frontier Analysis Using Stata (1st ed.). Cambridge University Press. https://doi.org/10.1017/CBO9781139342070
Wongnaa, C. A., Awunyo-Vitor, D., Mensah, A., & Adams, F. (2019). Profit efficiency among maize farmers and implications for poverty alleviation and food security in Ghana. Scientific African, 6, e00206. https://doi.org/10.1016/j.sciaf.2019.e00206
Wordofa, M. G., Hassen, J. Y., Endris, G. S., Aweke, C. S., Moges, D. K., & Rorisa, D. T. (2021). Adoption of improved agricultural technology and its impact on household income: A propensity score matching estimation in eastern Ethiopia. Agriculture & Food Security, 10(1), 5. https://doi.org/10.1186/s40066-020-00278-2
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