Analysis of Enterprise Budgeting and Profit Efficiency of Cassava Production in Nigeria

This study evaluated the profitability and profit-efficiency of cassava production among registered sole producers in Delta State, Nigeria, and identified key drivers of per‑unit profit. Using multistage random sampling, 300 cassava farmers were surveyed and enterprise budgets, sensitivity analysis, and a profit‑function regression were applied. Aggregate results showed total revenue (TR) of N83.8 million, total cost (TC) of N59.7 million, and net farm income (NFI) of N24.03 million, yielding a mean NFI per farm of N100,110 and a total net return on investment (NROI) of 0.402 (40.2%); the profit margin (NFI/TR) averaged 28.7%. Late‑planting farms recorded marginally higher gross margin and NFI per hectare than early‑planting farms (gross margin: N101,020 vs N92,102; NFI/ha: N93,005 vs N85,101). Profit‑function estimation (R2 = 0.657) identified per‑unit output price (PPO, positive), per‑unit labour price (PPL, negative), age (negative), household size (positive), education (positive), and farming experience (positive) as significant determinants of per‑unit profit (p < 0.10 – 0.01). Sensitivity analysis revealed that a 10% decline in revenue reduced gross margin by 32% and NFI by 35%, indicating revenue shocks were more damaging than equivalent cost increases. Findings underscored the viability of cassava production while highlighting opportunities to raise profitability via price‑and‑market access, labor-saving technologies, human‑capital investments, and revenue‑risk mitigation (e.g., forward contracting). Results informed targeted extension, credit, and value‑chain interventions to improve smallholder returns in line with national and international policy priorities

Profit function, farming experience, output

1. Adaigho, D., Ehigie, O. H., Okemena, A. A., & Nwankwo, W. (2025). Enhancing the cassava processing value chain: Sustainable production of edible starch and cassava-based confectionery in emerging markets. NIPES Journal of Science and Technology Research, 7(2), 70–84. https://doi.org/10.37933/nipes/7.2.2025.5 [Google Scholar] [Crossref]

2. Adeoye, I. B., Abubakar, S., & Osho, O. (2016). Assessment of the performance of vegetable marketing channels in southwest Nigeria. Journal of Agricultural Extension, 20(2), 65–76. https://journal.aesonnigeria.org/index.php/jae/article/view/686 [Google Scholar] [Crossref]

3. Akinola, A., & Obisesan, A. (202). Analysis of vegetable marketing in Nigeria: The role of middlemen in distribution. International Journal of Vegetable Science, 26(3), 285–297. https://doi.org/10.108/19315260.2019.1635064 [Google Scholar] [Crossref]

4. Alain de Janvry, A., & Sadoulet, E. (202). Using agriculture for development: Supply- and demand-side approaches. World Development, 133, 105003. https: // doi.org/ 10.1016/j.worlddev.202.105003 [Google Scholar] [Crossref]

5. Amare, M. Z., Demissie, W. M., & Massa, M. M. (2025b). Technical efficiency analysis of African economic growth: Panel stochastic frontier model approach. Scientific African, 28, e02648. https://doi.org/10.1016/j.sciaf.2025.e02648 [Google Scholar] [Crossref]

6. Amare, M. Z., Demissie, W. M., & Massa, M. M. (2025a). Technical efficiency analysis of African economic growth: Panel stochastic frontier model approach. Scientific African, 28, e02648. https://doi.org/10.1016/j.sciaf.2025.e02648 [Google Scholar] [Crossref]

7. Borah, M., & Halim, R. A. (2021). Sensitivity analysis of broiler farming enterprise under changing scenario of costs, prices and yields in Assam. International Journal of Current Microbiology and Applied Sciences, 10(1), 1493–1509. https: //doi.org/10. 20546/ijcmas.2021.1001.177 [Google Scholar] [Crossref]

8. Ezeudu, T. S., & Obimbua, E. N. (2024). Enhancing rural market access and value chain integration for sustainable agricultural development in Nigeria: A study of constraints, strategies, and implications. International Journal of Research and Innovation in Social Science, 8(3), 281–288. https://doi.org/10.47772/IJRISS.2024.803039 [Google Scholar] [Crossref]

9. Gbigbi, T. M., & Chuks-Okonta, V. A. A. (2021). Profitability and resource use efficiency in cassava production: Evidence from Delta State, Nigeria. International Journal of Research and Review, 8(6), 199–207. https://doi.org/10.52403/ijrr.20210624 [Google Scholar] [Crossref]

10. Havugimana, A., Harerimana, L. , Gace, D. , Bugenimana, D. and Nsengimana, A. (2025) Economic Analysis and Effect of Using Farm Machinery for Soybeans Production at Gishari Demonstration Farm, Rwanda. Open Journal of Applied Sciences, 15, 1766-1792. doi: 10.4236/ojapps.2025.156121 [Google Scholar] [Crossref]

11. Ilesanmi, F. F., Ilesanmi, O. S., & Afolabi, A. A. (2021). The effects of the COVID-19 pandemic on food losses in the agricultural value chains in Africa: The Nigerian case study. Public Health in Practice, 2, 100087. https: // doi.org / 10. 1016/j. puhip. 2021. 100087 [Google Scholar] [Crossref]

12. Issa, F. O., Okoma, C. M., Arokoyo, J. O., Irebuisi, D. C., & Asonye, N. C. (2025). Reforming agricultural extension and advisory services in Nigeria: A strategic review for sustainable agricultural development. International Journal of Research and Innovation in Social Science, 9(9), 586–591. https: // doi.org /10.47772/ IJRISS. 2025. 90900052 [Google Scholar] [Crossref]

13. Jimoh, S. O., Baruwa, O. I., & Kolapo, A. (2023). Analysis of profit efficiency of smallholder beef cattle farms in South-West Nigeria. Cogent Economics & Finance, 11(1), 2181786. https://doi.org/10.108/23322039.2023.2181786 [Google Scholar] [Crossref]

14. Mauki, C., Jeckoniah, J., & Massawe, G. D. (2023). Smallholder rice farmers’ profitability in Agricultural Marketing Co-operative Societies in Tanzania: A case of Mvomero and Mbarali districts. Heliyon, 9(6), e17039. https:// doi.org/10.1016/j. heliyon. 2023. e17039 [Google Scholar] [Crossref]

15. Mdoda, L., Loki, O., & Sikwela, M. M. (2025). Evaluating the economic effect of sustainable agricultural practices on small-scale farmers in the Eastern Cape Province: A propensity score matching analysis. International Journal of Agricultural Sustainability, 23(1), 1–18. https://doi.org/10.108/14735903.2025.2478733 [Google Scholar] [Crossref]

16. Mvodo Meyo, E., & Mbey Egoh, I. (202). Assessing the impacts of variable input costs on maize production in Cameroon. Agricultural Sciences, 11(11), 1095–1108. https: // doi.org/10.4236/as.202.1111071 [Google Scholar] [Crossref]

17. National Bureau of Statistics. (2021). Nigerian gross domestic product report (Q4 202). NBS. https://www.nigerianstat.gov.ng/elibrary/read/1241137 [Google Scholar] [Crossref]

18. Nwadiolu, R., Kperegbeyi, J. I., Ewododhe, A. C. A., Adaigho, D. O., Samuel, A. P., & Nwankwo, W. (2024). Unleashing economic potential: Enhancing cassava production efficiency in Nigeria. African Journal of Applied Research, 10(1), 93–103. https://doi.org/10.26437/ajar.30.06.2024.06 [Google Scholar] [Crossref]

19. Odekina, F. O., Jamiu, S. O., Christopher, A. O., Emmanuel, A. P., & Ojone, A. S. (2024). A comparative analysis of the economics of cassava production and processing by IFAD VCDP participants and non-participants in Benue and Kogi States, Nigeria. World Journal of Advanced Research and Reviews, 21(2), 692–704. https: // doi. org/ 10.30574/wjarr.2024.21.2.0432 [Google Scholar] [Crossref]

20. Ortega Díaz, A., Flores Segovia, M., & Aguilar Rivera, N. (2025). Stochastic frontier analysis and agricultural typologies: Applied to Mexico’s sugarcane industry. Regional Science Policy & Practice, 17(4), 100173. https://doi.org/10.1016/j.rspp.2025.100173 [Google Scholar] [Crossref]

21. Oyotomhe, O. I., Aiyedun, E. A., & Ebukiba, E. S. (2025). Determinants of cassava production among smallholder farmers in Edo State, Nigeria. Global Academic Journal of Agriculture and Bio Sciences, 7(3), 36–46. https: // doi.org/10.36348/ gajab.2025. v07i03. 001 [Google Scholar] [Crossref]

22. Pelemo, J. J., Ajibola, B. O., Adeyemi, O. A., Shehu, M., & Adewumi, A. (2024). Adoption of climate-smart practices among arable crop farmers in Kogi State, Nigeria. Journal of Agricultural Extension, 28(4), 110–119. https://doi.org/10.4314/jae.v28i4.11 [Google Scholar] [Crossref]

23. Prentzas, A., Moulogianni, C., Tafidou, A., Lialia, E., Kouriati, A., Dimitriadou, E., & Bournaris, T. (2026). Assessing farm profitability and resilience through scenario analysis: Evidence from a farmer group in Western Macedonia. In Proceedings of the 18th International Conference of the Hellenic Association of Agricultural Economists, Florina, Greece, 10–11 October 2025 (Vol. 134, No. 1, p. 17). MDPI. https:// doi.org/10.339/proceedings2026134017 [Google Scholar] [Crossref]

24. Price Elton, J. J. (2022). Efficiency and productivity analysis: Two empirical applications and a methodological contribution (PhD thesis). Copenhagen Business School. [Google Scholar] [Crossref]

25. Reardon, T., Echeverria, R., Berdegué, J., Minten, B., Liverpool-Tasie, S., Tschirley, D., & Zilberman, D. (2019). Rapid transformation of food systems in developing regions: Highlighting the role of agricultural research & innovations. Agricultural Systems, 172, 47–59. https://doi.org/10.1016/j.agsy.2018.01.022 [Google Scholar] [Crossref]

26. Shahzad Khan, S., Afridi, G. S., Alam, A., & Khan, S. (2025). Effects of sustainable agricultural practices on income and environmental sustainability of small farm households in rural Pakistan. Journal of the Knowledge Economy, 16(3), 12862–12882. https: // doi.org /10.1007/s13132-024-02447-1 [Google Scholar] [Crossref]

27. Sithole, A., & Olorunfemi, O. D. (2024). The adoption of sustainable farming practices by smallholder crop farmers: Micro-level evidence from North-Eastern South Africa. Agriculture, 14(12), 237. https://doi.org/10.339/agriculture14122370 [Google Scholar] [Crossref]

28. Toiba, H., Nugroho, T. W., Retnoningsih, D., & Rahman, M. S. (202). Food system transformation and its impact on smallholder farmers’ income and food security in Indonesia. Cogent Economics & Finance, 8(1), 1854412. https: //doi. org/ 10 .108 / 23322039.202.1854412 [Google Scholar] [Crossref]

29. Van Touch, D. K. Y., Tan, D. K. Y., Cook, B. R., Liu, D. L., Cross, R., Tran, T. A., Utomo, A., Yous, S., Grunbuhel, C., & Cowie, A. (2024). Smallholder farmers’ challenges and opportunities: Implications for agricultural production, environment and food security. Journal of Environmental Management, 370, 122536. https: //doi. org/ 10.1016 /j. jenvman.2023.122536 [Google Scholar] [Crossref]

30. Wasiu, A. (2018). Training manual for the production of cassava products in Liberia (44 pp.). International Institute of Tropical Agriculture. https:// biblio.iita.org/ documents/ U18ManAwoyaleTrainingNothomNodev.pdf-71cff637ad377d2616a234eebe1ee8f2.pdf [Google Scholar] [Crossref]

31. Weli, V., & Bajie, S. (2017). Adaptation of root crop farming system to climate change in Ikwerre Local Government Area of Rivers State, Nigeria. American Journal of Climate Change, 6(1), 40–51. https://doi.org/10.4236/ajcc.2017.61003 [Google Scholar] [Crossref]

32. World Bank. (202). Nigeria - Rural Access and Agricultural Marketing Project. Washington, DC: World Bank. https:// documents 1 .worldbank. org/curated/ en/ 420261582340546033/pdf/Nigeria-Rural-Access-and-Agricultural-Marketing-Project.pdf [Google Scholar] [Crossref]

33. World Bank. (202). Nigeria - Rural access and agricultural marketing project. World Bank Group. http://documents.worldbank.org/curated/en/420261582340546033 [Google Scholar] [Crossref]

34. Yegbemey, R. N., Komlan Ahihou, C. M., Olorunnipa, I., Benali, M., Afari-Sefa, V., & Schreinemachers, P. (2021). COVID-19 effects and resilience of vegetable farmers in North-Western Nigeria. Agronomy, 11(9), 1808. https: //doi .org/ 10.339/ agronomy 11091808 [Google Scholar] [Crossref]

35. Zelingher, R., Makowski, D., & Brunelle, T. (2021). Assessing the sensitivity of global maize price to regional productions using statistical and machine learning methods. Frontiers in Sustainable Food Systems, 5, 655206. https://doi.org/10.3389/fsufs.2021.655206 [Google Scholar] [Crossref]

36. Zou, B., Chen, Y., Mishra, A. K., & Hirsch, S. (2024). Agricultural mechanization and the performance of the local Chinese economy. Food Policy, 125, 102648. https://doi.org/10.1016/j.foodpol.2024.102648 [Google Scholar] [Crossref]

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