Technical Efficiency of Onion Farmers in Taraba State, Nigeria
DOI:
https://doi.org/10.33003/fjs-2026-1014-5389Keywords:
Production, Risks, Onion, Farmers, Technical efficiency, Technical inefficiency, Stochastic frontier analysis, Smallholder farmers, Taraba StateAbstract
Onion production is an important source of food, income, and employment for many rural households in Nigeria. Despite its economic importance, productivity among smallholder onion farmers remains below potential due to technical inefficiency in the use of available production resources. This study examined the technical efficiency of onion farmers in Taraba State, Nigeria. Primary data were collected from 254 onion farmers using a structured questionnaire and analyzed using descriptive statistics and the stochastic frontier production model. The results revealed that the respondents were relatively young and economically active, with a mean age of 38 years, an average household size of 6 persons, and an average farming experience of 10 years. The estimated mean technical efficiency was 0.658, indicating that farmers achieved only 65.8% of the potential output, leaving room for a 34.2% improvement through more efficient use of existing resources. The estimated sigma-square value (0.0027) was statistically significant, confirming the suitability of the stochastic frontier model, while lambda value (2.23298) indicated that the differences between observed and potential output were mainly due to technical inefficiency. The gamma estimate of 0.83 further showed that 83% of the variation in onion output was attributable to technical inefficiency. Education, farming experience and age significantly improved farmers’ technical efficiency, whereas limited access to extension services and credit reduced efficiency. The study concludes that onion production in Taraba State has considerable potential for increased productivity through improved resource-use efficiency.
References
Aboukhadrah, S. H., El-Alsayed, A. W. A. H., Sobhy, L., &Abdelmasieh, W. (2017). Response of onion yield and quality to different planting date, methods and density. Egyptian Journal of Agronomy, 39(2), 203-219. https://doi.org/10.21608/agro.2017.1203.1065
Adams, A., Balana, B., & Lefore, N. (2020). Efficiency of small-scale irrigation farmers in Northern Ghana: A data envelopment analysis approach. Margin: The Journal of Applied Economic Research, 14(3), 332-352. https://doi.org/10.1177/0973801020919840
Aigner, D. J., Lovell, C. K., & Schmidt, P. (1977). Formulation and estimation of stochastic. Review of Economics and Statistics, 80(3), 454-465. https://doi.org/10.1016/0304-4076(77)90052
Akamin, A., Bidogeza, J. C., & Afari-Sefa, V. (2017). Efficiency and productivity analysis of vegetable farming within root and tuber-based systems in the humid tropics of Cameroon. Journal of Integrative Agriculture, 16(8), 1865-1873. https://doi.org/10.1016/S2095-3119(17)61662-9
Akanlik, V.A. (2020). Resource use efficiency of Onion Farmers in the Upper East Region of Ghana. Thesis submitted to the Department of Agricultural and Resource Economics, Faculty of Agribusiness and Applied Economics, University for Development Studies, Ghana, 73-81.
Alabi, O. O., Anekwe, C. E., Alabuja, F. O., Safugha, G. F., Drisu, T., Aluwong, S. J., & Abdullahi, M. (2023). Technical efficiency and return to scale of okra (Abelmoschus species) production among smallholder rural women farmers in Kaduna State, Nigeria. http://esjindex.org/search.php?id=6279
Ambali, O.I., Adegbite, D.A., Ayinde, I.A., & Awotide, D.O. (2012). Analysis of Production Efficiency of Food Crop Farmers in Ogun Stte, Nigeria. Journal of Agricultural and Biological Science, 7(9), 680-688. http://www.arpnjournals.com/jabs/researchpapers/rp2012/jabs 0912 453.pdf
Bravo-Ureta, B., Solís, D., & Bumb, B. (2020). Productivity and efficiency analysis in agriculture: A global assessment. Applied Economic Perspectives and Policy, 42(3), 334–356. https://doi.org/10.1002/aepp.13009
Chikezie, N. P., Chikaire, J., Osuagwu, C. O., Ihenacho, R. A., Ejiogu-Okereke, N., Oguegbuchulam, M. N., & Obi, K. U. (2012). Factors constraining rural youth’s involvement in cassava production in Onuimo Local Government Area of Imo State, Nigeria. Global Advanced Research Journal of Agricultural Science, 1(8), 201-209.
Coelli, T. J., Rao, D. S. P., O'Donnell, C. J., &Battese, G. E. (2005). An introduction to efficiency and productivity analysis. Springer science & business media.DOI: https://doi.org/101007/0-387-25895-7_4
Danji, M.B., Kara, H.A., Luqman, M.M., David, F.A. Adamu, M.M & Muhammad, B. (2025).Technical Efficiency of Onion Production: the Case of Smallholder Farmers in Wukari Local Government Area of Taraba State, Nigeria. J. Glob. Innov. Agric. Sci. 13(4): xxx ISSN (Online):2788-4546; ISSN (Print):2788-4538. http://www.jgiass.com
Dessale, M. (2017). Technical efficiency in teff production: the case of smallholder farmers in Jamma District, South Wollo Zone, Ethiopia (Doctoral dissertation, Haramaya University).
Emmanuel, K. P., Sulaiman, A., & Abu, I. A. (2024). Factors Influencing Adoption of Recommended Onion Production Technologies among Farmers in Western Agricultural Zone of Bauchi State, Nigeria. Nigerian Journal of Agriculture and Agricultural Technology, 4(2), 90-104. DOI: https://doi.org/1059331/njaat.v4i2.695
Food and Agricultural Organization of the United Nation (FAO, 2024). FAOSTAT statistical database: Crops and livestock products. Retrieved from https://www.fao.org/faostat.
Food and Agriculture Organization of the United Nations (FAO), (2020), crops, accessed 29 July 2020, 10 September 2020, 14 and 16 January 2021, http://www.fao.org/faostat/en/#data/QC.
Greene, W. H. (2020). Econometric analysis (8th ed.). Pearson.
Haile, B. T. (2015). Determinants of technical, allocative and economic efficiencies among onion producing farmers in irrigated agriculture: Empirical evidence from Kobo district, Amhara region, Ethiopia. African Journal of Agricultural Research, 10(20), 2180-2189. https://doi.org/10.5897/AJAR2015.9564
Hasan, M. A., Islam, M. N., Saikat, M. H., & Bhuiyan, M. A. H. B. (2024). Precision agriculture practices from planting to postharvest: Scopes, opportunities, and challenges of innovation in developing countries. In S. Lamine, P. K. Srivastava, A. Kayad, F. Muñoz-Arriola, & P. C. Pandey (Eds.), Remote sensing in precision agriculture (pp. 3–26). Academic Press. https://doi.org/10.1016/B978-0-323-91068-2.00014-X
Hassan, B., Jibril, S. A., Garba, M., & Dabo, N. M. (2025). Factors Influencing Small Scale Famers Participation in Cooperative Societies in Gombe State, Nigeria. Nigerian Journal of Agriculture and Agricultural Technology, 5(1A), 190-199. https://doi.org/10.59331/njaat.v5i1A.983
Hwang, J.S., & Kim, W.S. (2025). Evaluation of the Field Performance and Economic Feasibility of Mechanized Onion Production in the Republic of Korea. Agronomy, 15, 1721. https://doi.org/10.3390/agronomy15071721
Kara, A.H., Shamsudin, M.N., Mohamed, Z., Latiff, I.B., & Seng, K.W.K. (2019). Technical efficiency and production risk of rice farms under Ancho Borrowers Programme in Kebbi State, Nigeria. Asian Journal of Agricultural Extension, Economics and Sociology, 31(4), 1-12. https://doi.org/10.9734/AJAEES/2019/v31i430141
Kolade, O., & Harpham, T. (2014). Impact of cooperative membership on farmers’ uptake of technological innovations in Southwest Nigeria. Development Studies Research, 1(1), 340–353. https://doi.org/10.1080/21665095.2014.978981
Kumbhakar, S. C., & Lovell, C. A. K. (2000). Stochastic frontier analysis. Cambridge University Press. https://doi.org/10.1017/CBO9780511752366
Kumbhakar, S. C., Wang, H.-J., & Horncastle, A. P. (2015). A practitioner’s guide to stochastic frontier analysis using Stata. Cambridge University Press. https://doi.org/10.1017/CBO9781139342070
Mulaudzi, V. S. (2017). Determinants of productivity among African indigenous vegetable farmers in Vhembe District of Limpopo Province, South Africa (Doctoral dissertation, North-West University, South Africa). URL: https://orcid.org/000-0001-7381-2171
Laary, D. (2014). Ghana shuts down witches’ camp’. The Africa Report.
Olanrewaju, K. O., Akintunde, O. K., Adeoye, I. B., & Bamiwuye, O. A. (2021). Gender differential in leafy vegetable production in Lagelu Local Government Area of Oyo State, Nigeria. Journal of Agriculture and Food Sciences, 19(1), 120-133. https://doi.org/10.4314/jafs.v19i1.9
Oruonye, E.D., & Abbas, B. (2011). The Geography of Taraba State, Nigeria. LAP LAMBERT Academic Publishing GnBH& Co. KG and licensors.
Osei, S.K., Folitse, B.Y.,Dzandu, L.P. & Obeng-Koranteng, G. (2017). Sources of Information for Urban Vegetable farmers in Accra, Ghana. Information Development, 33(1):72-79. https://doi.org/10.1177/0266666916638712
Robert, K., Kara, H.A., Adamu, M.M. and Muhammad, B. (2021).Analysis of Dry Season Vegetable Production AmongKiri Dam Users in Adamawa State, Nigeria. Journal of agripreneurship and Sustainable Development. 4(4):2651-6365. DOI: https://doi.org/10.59331/jasd.v4i4.268
Sunday, B.A., & Monday, I. (2021). Factors Productivity in Small-Scale Upland Vegetable production in the South-South Region of Nigeria. Scientific Papers Series Management, Economic Engineering in Agriculture and Rural Development, 21 (1):2284-3952.
Sarker, R., Ratna, M., Ray, S., Fahim, A. H. F., & Tithi, M. J. (2017). Effect of planting method on onion (Allium cepa L.) bulb production in Faridpur region of Bangladesh. Archives of Agriculture and Environmental Science, 2(2), 63-67. www.aesacademy.org
TA DP (2021).Taraba State Agricultural Development Programme.
TADP (2025).Taraba State Agricultural Development Programme.
Tahir, A. D., Makinta, A. A., Alkali, H. M., & Yakubu, W. (2022). Determinants of Technical Efficiency in Garden Egg Production in Hawul Local Government Area of Borno State, Nigeria. Uniosun Journal Of Agriculture And Renewable Resources, 6(2).
Yahaya, K., Gindi, A.A., Buhari,A.K.& Umar, H.S. (2019).Profit and Technical Efficiency Estimation of Onion Farms in Aliero Local Government Area of Kebbi State, Nigeria. Direct Research Journal of Agriculture and Food Science.7 (2): Pp. 30-35.
Yamane, T. (1967). Elementary Sampling Theory. Englewood Cliffs, New Jersey, Prentice-Hall.
Yidau, J.J., Adebayo, E.F., Michael, A. & Joshua, J. (2020).Analysis of Socio-economic Characteristics and Problems militating against Onion production in Southern Region of Adamawa State, Nigeria. Nigerian Journal of Tropical Agriculture, 20; 1-7.
Zegeye, M.B., Alemu, T.A., Sisay, M.A., Mulaw, S.G., &Abate, T.W. (2024). Factors affecting onion production: An empirical study in the Raya Kobo District, Amhara regional state, Ethiopia. PLoS ONE 19(6): e0305134. https://doi.org/10.1371/journal
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