An Evaluation of the Poverty Status and Profit Efficiency of Rice Farmers: Empirical Evidence from Fadama III Additional Financing in Benue State, Nigeria

Year 2025, Volume: 9 Issue: 1, 97 - 108, 30.06.2025

Saheed Olakunle Sanusı , Sharon Ocheinehi Adole

Abstract

Reducing poverty through development programs is a major strategy employed by the Federal Government of Nigeria. To appraise the development project, this research's main objective was to evaluate the impact of Fadama III “irrigable land”Additional Financing (AF) on poverty status and profit efficiency among rice farming households in Benue State, Nigeria. Data were collected from a total sample of 625 respondents, including 358 participants in Fadama III AF and 267 non-participants. Descriptive statistics, the translog stochastic frontier profit function, and the Foster-Greer-Thorbecke poverty index were used to achieve the specific objectives of the study. The findings revealed that the incidence of poverty among the sampled rice farming households was high. A high proportion, 60% and 54%, were poor for participating and non-participating households, respectively. Similarly, participation in Fadama III AF significantly reduced consumption-based moderate and severe poverty by 32% and 44% among the participating rice farming households, respectively. Participation in Fadama III AF significantly reduced moderate and severe poverty by 38% and 35%, respectively. Furthermore, participants in Fadama III Additional financing (AF) were profit efficient, while their counterparts were profit inefficient, experiencing a profit shortfall of 15%. This inefficiency was partly due to non-optimal input prices for seeds, labor, and land, as well as the misuse of factors such as land. The study concluded that since Fadama III had positive and impactful outcomes on the poverty status of the participants, the government should sustain the progress achieved in the intervention through the injection of additional funding and scaling up inclusive participation of more women in the program.

Keywords

Efficiency , Financing , Poverty index , Profit function , Rice , Nigeria

References

• Abdul-Rahaman A. & Abdulai A. 2018. Do farmer groups impact on farm yield and efficiency of smallholder farmers? Evidence from rice farmers in northern Ghana. Food policy, 81, 95-105.
• Adamu T. & Bakari U. M. 2015. Profit efficiency among rain-fed Rice farmers in northern Taraba state, Nigeria. Journal of Biology, Agriculture and Healthcare, 5(8),113-119.
• Adeleke O., Matanmi H. M. & Ogunniyi L. 2008. Application of the normalized profit function in the estimation of the profit efficiency among smallholder farmers in Atiba Local Government of Oyo State. Journal of Economic Theory 2 (3):71-76.
• Aduloju O. T. B., Bako A. I. & Anofi A. O. 2022. Specifics knowledge links between COVID-19 and urban food systems in Nigeria. Contemporary Social Science, 17(2), 157-172.
• Aminu, F. O., & Nyor, O. 2021. Willingness to Pay for Improved Water Supply Among Rural Households in Benue State, Nigeria. ICRRD Qual. Ind. Res. J, 2(4), 121-131.
• Dang, N. H. 2017. Profitability and Profit Efficiency of Rice Farming in Tra Vinh Province, Vietnam Review of Integrative Business and Economics Research, 6 (1), 191-201.
• Debebe S. & Zekarias E. H. 2020. Analysis of poverty, income inequality and their effects on food insecurity in southern Ethiopia. Agriculture & Food Security, 9, 1-12.
• FMARD 2022. Tractorization programme to enhance food and nutrition security in the agricsector. Available at www.info.fmard.gov.ng
• Global Hunger Index, 2019. The challenge of hunger and climate change: The challengeof hunger and climate change. International Food Policy Research Institute Washington, DC, WHH (Welthungerhilfe), Bonn, and Concern Worldwide,Dublin.
• Kuza Y., Okwoche V. A. & Age A. I. 2018. Assessment of the impact of Fadama III, development project on beneficiaries in Nasarawa State, Nigeria. Greener Journalof Agricultural Science. 8(9), 197-202.
• Kwon-Ndung E., Ishor D. & Kwon-Ndung L. 2018. Analysis of the midline impact of Fadama III agricultural development project on poverty alleviation among beneficiaries in Benue State, Nigeria. International Journal of Innovative Approaches in Agricultural Research, 2(2), 133-144. doi: 10.29329/ijiaar.2018.141.6
• Musaka M.C. 2017. Profit Efficiency of Smallholder Groundnut Farmers in Eastern Zambia. An Unpublished M.Sc. Thesis, Faculty of Development Studies, Lilongwe University of Agriculture and Natural Resources
• National Bureau of Statistics 2022. LSMS integrated surveys on agriculture: Nigeria general household survey, Panel (Wave 4). Abuja, Nigeria: National Bureau of Statistics.
• National Population Commission (NPC) 2006. Population census of federal republic of Nigeria Official Gazette, National and State Provisional Totals Census. Printed and Published in 2007 by the Federal Government Printer, Lagos, Nigeria. 94(21), 175-198.
• National Population Commission 2024. Demographic statistics bulletin.
• Okoruwa V.O., Akindeinde A.O. & Salimonu K. K. 2009. Relative EconomicEfficiency of Farms in Rice Production: A Profit Function Approach in NorthCentral Nigeria. Tropical and Subtropical Agro-ecosystems,10(2):279-286. Available at: http://www.redalyc.org/pdf/939/93912989015.pdf
• Okpala E. F., Manning L. & Baines R. N. 2023. Socio-economic drivers of poverty and food insecurity: Nigeria a case study. Food Reviews International, 39(6), 3444-3454.
• Ogundari K. 2006. Determinants of profit efficiency among small scale rice farmers in Nigeria. A profit function approach. Research Journal of Applied Sciences, 1(1-4), 116. 122.
• Onuche U., Ali S. O. & Isaac J. T. 2015. “Technical efficiency estimates and the role of formal education: Evidence from catfish firms in Ijumu local government area of Kogi State, North Central, Nigeria.”Agrosearch, 15 (2), 107–111.
• Oyinbo O., Chamberlin J., Abdoulaye T. & Maertens M. 2021. Digital extension, price risk, and farm performance: Experimental evidence from Nigeria. American Journal of Agricultural Economics, p. 1-22. doi: 10.1111/ajae.12242.
• Rahman M. M. 2004. The Application of frontier approaches to model the efficiency of rice producers in Bangladesh. An unpublished Ph.D thesis imperial college Atwye University of London.
• Wijetunga C. S. 2016. Rice production structures in Sri Lanka: the normalized translog profit function approach. Asian Journal of Agriculture and Rural Development, 6(2),21-35 World Bank. 2005. World Bank annual report on addressing worldwide poverty, World Bank, Washington.
• World Bank. 2020. The impact of COVID-19 (Coronavirus) on global poverty: Why Sub Saharan Africa might be the region hardest hit. Data Blog. https://blogs.worldbank.org/opendata/impact-COVID-19-coronavirus-global-poverty why-sub-Saharan-Africa-might-be-region-hardest
• Wadud I. 2011. Profit Efficiency and Farm Characteristics: Evidence from Rice Farmers in Bangladesh. The 2011 Barcelona European Academic Conference.Barcelona, Spain.
• Yamane T. 1967. Statistics: An introductory analysis, 2nd Ed., New York: Harper and Row.