Cost Efficiency of Yam Production in Oguta LGA of Imo State, Nigeria
Authors
Department of Agricultural Science Alvan Ikoku Federal University of Education (Nigeria)
Department of Agricultural Science Alvan Ikoku Federal University of Education (Nigeria)
Department of Agricultural Science Alvan Ikoku Federal University of Education (Nigeria)
Article Information
DOI: 10.51584/IJRIAS.2026.11030112
Subject Category: Agriculture
Volume/Issue: 11/3 | Page No: 1452-1461
Publication Timeline
Submitted: 2026-04-02
Accepted: 2026-04-08
Published: 2026-04-22
Abstract
The study applied a stochastic frontier cost function to analyze cost efficiency of yam farmers and ascertained variation in cost efficiency due to inefficiency effects on yam production in the study area. Data were collected with the aid of a well-structured questionnaire from 35 randomly selected yam farmers from 5 purposively selected communities. Data were analyzed using descriptive statistics and stochastic cost function. Results showed that the mean age of yam farmers was 41 years and more males (91.4%) were involved in yam production. Cost of land, yam seed, hired labour, agrochemicals and transportation were significant factors that are determinants of total cost associated with yam production in the study area. That is, 1% increase in the cost of land, yam seed, hired labour, agrochemicals and transportation will increase total production cost by approximately 0.69%, 0.49%, 0.29%, 0.57% and 0.40% respectively with the value of the sigma squared (δ2) being 0.820 indicating a good fit. The maximum likelihood estimates for the Stochastic cost function used in explaining the inefficiency parameters for yam farmers showed that the coefficient of credit availability, farming experience, extension contact all had the a priori expected signs and statistically significant showing that an increase in any of them decreases cost inefficiency. The mean cost efficiency was 0.63, meaning that an average yam farmer in the study area has the scope for increasing cost efficiency by 37%. It was concluded that farmers are not cost efficient from their cost efficiency indices.
Keywords
Production, Cost, Efficiency, Yam, Farmers
Downloads
References
1. Akporawo, S., Emaziye, P. O. & Osemedua, O. S. (2022). Effect of agricultural credits on production among smallholder crop farmers in Delta State. World Journal of Advanced Research and Reviews.16(2): 437-448 [Google Scholar] [Crossref]
2. Anugwo, S.C.1. & Egwue, O.L. (2024). Analysis of factors determining yam production in Ikole-Ekiti Local Government Area of Ekiti-State, Nigeria. Direct Research Journal of Agriculture and Food Science. 12(2): 196-200 [Google Scholar] [Crossref]
3. Ariyo, O. C., Usman, M. B., Olorukooba, M. M., Olagunju, O. E., Oni, O. B., Suleiman, R., Adetunji, A. J. & Ariyo, M. O. (2020). Economics of Yam Production in Gboyin Local Government Area of Ekiti State, Nigeria. Journal of Experimental Agriculture International42(4): 99-110 [Google Scholar] [Crossref]
4. Baba, K. C., Adedeji, S. O. & Waziri, A. (2023). Technical efficiency of yam production in Paikoro Local Government area of Niger state, Nigeria. Journal of Agripreneurship and Sustainable Development (JASD). 6(1): 2651-6365 [Google Scholar] [Crossref]
5. Bawa, S. S. & Miftahu I. (2023).Impact of agricultural financing on real output growth in Nigeria. International Journal of Advanced Multidisciplinary Research and Studies. 3(2):962-968. [Google Scholar] [Crossref]
6. Esiobu, N. S., Osuagwu, C, O., Ohaemesi, C, F., Onyike, R. C., Nnamdi, F. C.& Igwenagu, M. O. [Google Scholar] [Crossref]
7. (2025). Do farmers derive income from yam production? Empirical evidence from Imo State, Nigeria. Research Journal of Agricultural Economics and evelopment 4(2):1-15 [Google Scholar] [Crossref]
8. Ismail, U. O. & Mahmud, H. U. (2023). Determinant factors of technical efficiency in yam production in Moro Lga, Kwara State, Nigeria. Journal of Agripreneurship and Sustainable Development (JASD). 6(2): 1-8. ISSN (Online): 2651-6365 [Google Scholar] [Crossref]
9. Joseph, M., Danwanka, H. A. & Stephen, J. (2019). Cost effieciency of maize-based cropping systems among rain-fed farmers in Adamawa State, Nigeria. Direct Research Journal of Agriculture and Food Science. 7(2): 16-22 [Google Scholar] [Crossref]
10. Kanu, A. N.,Onwusiribe, C., Okereke, G. O., Agim M.U. & Kanu, A.(2024).Yam characteristics and utilization. Published in Nigeria by MEZ PUBLISHERS #13 Ajoku Street Owerri, Imo State. [Google Scholar] [Crossref]
11. Lorzua, D. A., Ikwuba, A. A., Aan, J. T. & Nwafor, S. C. (2020). E valuation of income and postharvest losses of yam in Southern agricultural zone of Nasarawa State. Archives of Current Research International 20(7): 28-37 [Google Scholar] [Crossref]
12. Merem, E. C., Twumasi, Y. A., Fageir, S., Olagbegi, D., Wesley, J., Coney, R., Babalola, Y., Thomas, T., Hines, A., Hirse, G., Ochai, G. S., Nwagboso, E., Crisler, M., Leggett, S., Offiah , J. & Emeakpor, S. (2024). Exploring Shifts in Yam Production Trends Along Nigeria’s Southern Region. [Google Scholar] [Crossref]
13. International Journal of Food Science and Nutrition Engineering 14(1): 1-22 [Google Scholar] [Crossref]
14. OECD (2016). Innovating Education and Educating for Innovation: The Power of Digital Technologies and Skills. OECD Publishing, Paris. [Google Scholar] [Crossref]
15. Oguta Blog(2021). manpower.com.ng/places/lga/346/oguta Reteived on 05/10/2021. [Google Scholar] [Crossref]
16. Okparauka, I. I., Achinewhu, S. C., Akausu, O. O., Ejiofor, J. E. & Ojimelu, P. C. (2025). [Google Scholar] [Crossref]
17. Comparative aalysis of nutrient composition in boiled tubers of two bitter Yam (Discorea dumetorum) cultivars. Research Journal of Food Science and Quality Control (RJFSQC) 11(7): 1-14 [Google Scholar] [Crossref]
18. Ololade, R. A., Olagunju, F. I., Adejumo, T. J. & Okegbade, A. I. (2018). Econometric analysis of accessibility and repayment ability of agricultural credit among rural root and tuber crops farmers in Oyo State Nigeria. Global Journal of Management and Business Research: B Economics and Commerce. 18(5): 17-29. [Google Scholar] [Crossref]
19. Swamy, K. R. M. (2024). Origin, distribution, taxonomy, botanical description, genetics and cytogenetics, genetic diversity and breeding of yams (Dioscoreaceae Spp.) International Journal of Development Research. 14(7): 66114-66132 [Google Scholar] [Crossref]
20. Udemezue, J.C., Mbanason C. I.& Obiajulu, I.S. (2022). Analysis of factors affecting fertilizer applications by yam farmers in Edo State, Nigeria. Journal of Plant Sciences and Crop Protection. 5(1): 1-9 [Google Scholar] [Crossref]
21. Ololade, R. A., Olagunju, E. J., Adejumo, T. J. & Okegbade, A. I. (2018). Econometric analysis of accessibility and repayment ability of agricultural credit among rural root and tuber crops farmers in Oyo State, Nigeria. Global Journal of Management and Business Research Xviii(v): 17-29 [Google Scholar] [Crossref]
22. Onyemekonwu, R. C., Chisonum, M. & Onyemekihian, F. (2023). Productivity factor and constraints associated with yam farming Among smallholder farmers in Delta State, Nigeria. Nigerian Journal of Agriculture and Agricultural Technology (NJAAT). 3(2):110-118. [Google Scholar] [Crossref]
23. Señar, J. A.(2025). Lesser yam (dioscorea esculenta) flour as an alternative healthy food bar. Journal of Emerging Technologies and Innovative Research (JETIR). 12(2): 607-644 [Google Scholar] [Crossref]
24. Swamy, K.R.M. (2024). Origin, distribution, taxonomy, botanical description, genetics and cytogenetics, genetic diversity and breeding of yams (dioscoreaceae spp.). International Journal of Development Research IJDR 14(7):66114-66132. [Google Scholar] [Crossref]
25. Ugwu, S. I. (2010). Technical efficiency in the production of Nsukka yellow pepper among rural farmers in Enugu North agricultural zone, Enugu State, Nigeria. A dissertation submitted to the department of agricultural economics, University of Nigeria, Nsukka. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Breeding for a Greener Future: Selective Breeding and Crossbreeding Approaches to Minimize Methane Emissions in Ruminant Livestock
- Determinants of Adoption of Post-Harvest Losses Prevention Techniques among Banana/Plantain Marketers in Lagos State, Nigeria
- Enhancing Rice Yield Prediction Using UAV-Based Multispectral Imaging and Machine Learning Algorithms
- Seed-Borne Fungi of Groundnuts (Arachis Hypogaea) and Their Management with Ginger (Zingiber Officinale) Extract In Makurdi, Nigeria
- The Influence of Landforms and Slope on Agricultural Cropping Patterns in Chhatrapati Sambhajinagar District