Heterogeneous Impact of NG CARES Program Participation on Productivity and Food Security of Rural Farming Households in Northwestern Nigeria
Main Article Content
Abstract
The Nigeria Community Action for Resilience and Economic Stimulus (NG CARES) Program was designed to support vulnerable populations, particularly smallholder farmers, in response to external shocks such as the COVID-19 pandemic. This study examines the heterogeneous impact of participation in the NG CARES Program on crop yield and food security among rural farming households in northwestern Nigeria. We collected data from 723 farming households, consisting of 361 program participants and 362 non-participants, using a multi-stage sampling approach. A logit model was employed to analyze the determinants of program participation, while the Household Food Insecurity Access Scale (HFIAS) assessed food security levels. We used Data Envelopment Analysis (DEA) to estimate technical efficiency, a proxy for crop yield. We also applied the Endogenous Treatment Effect Model (ETEM) to assess the heterogeneous impact of program participation. The results indicate that program participation significantly improved crop yield, with participants demonstrating higher technical efficiency than non-participants. However, the impact varied across demographic groups, with older farmers benefiting the most, while middle-aged and young farmers experienced mixed effects. Farmers with only a primary education also experienced notable increases in yield, while those with secondary or university education did not. Food security outcomes also varied, with the most substantial improvements observed among young farmers. Regional disparities further highlighted the need for localized policy interventions. The study concludes that while NG CARES has enhanced agricultural productivity and food security, targeted modifications are necessary to ensure equitable benefits across different farmer categories and regions.
Article Details
Copyright (c) 2025 AbdurRahman Shitu Balarabe, Professor Hussain Y. Ibrahim, Dr. Adeola S. Solomon (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
AbdurRahman Shitu Balarabe, Federal University Dutsin-Ma, Katsina State, Nigeria.
Department of Agricultural Economics,
Federal University Dutsin-Ma, Katsina State, Nigeria.
Professor Hussain Y. Ibrahim, Federal University Dutsin-Ma, Katsina State, Nigeria.
Department of Agricultural Economics,
Federal University Dutsin-Ma, Katsina State, Nigeria.
Dr. Adeola S. Solomon, Federal University Dutsin-Ma, Katsina State, Nigeria.
Department of Agricultural Economics,
Federal University Dutsin-Ma, Katsina State, Nigeria.
Abebe, G. K., Bijman, J., & Royer, A. (2021). Behavioral drivers of farmers’ participation in agricultural interventions: Evidence from Ethiopia. Food Policy, 100, 102009. https://doi.org/10.1016/j.foodpol.2021.102009
Adedeji, T. A., Akinseye, F. M., & Olaleye, R. S. (2023). Productivity gains from agricultural input support programs in Nigeria: Evidence from maize farming households. African Journal of Agricultural and Resource Economics, 18(1), 41–55.
Adepoju, A. O., Ogunleye, T. A., & Adebayo, S. A. (2023). Youth responsiveness to agricultural interventions in West Africa: Evidence from smallholder households in Nigeria. Development Studies Research, 10(1), 92–106. https://doi.org/10.1080/21665095.2023.2204105
Adeyemo, R., Yusuf, S. A., & Olagunju, F. I. (2021). Impact of agricultural support programs on the productivity of rural households in Nigeria. Journal of Rural Studies, 83, 116–125. https://doi.org/10.1016/j.jrurstud.2021.02.014
Agresti, A. (2015). Foundations of linear and generalized linear models (2nd ed.). Wiley.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Alemayehu, T., Haji, J., & Bezabih, E. (2022). Effects of climate-smart agriculture practices on household food security in Ethiopia: Evidence from propensity score matching. Food Security, 14(3), 685–699. https://doi.org/10.1007/s12571-021-01231-6
Ali, M., Ndungu, J., & Odame, H. H. (2022). Access to extension services and smallholder efficiency: Evidence from Kenyan maize farmers. Agricultural and Food Economics, 10(1), 12. https://doi.org/10.1186/s40100-022-00224-y
Angrist, J. D., & Pischke, J.-S. (2008). Mostly harmless econometrics: An empiricist’s companion. Princeton University Press.
Ayanlade, A., & Radeny, M. (2020). COVID-19 and food security in Sub-Saharan Africa: Implications for sustainable rural development. Sustainability, 12(23), 9611. https://doi.org/10.3390/su12239611
Ayedun, B., Houessou, M. D., Okoruwa, V., & Fregene, T. (2022). Farmer-based organizations and adoption of improved agricultural practices in Nigeria. Journal of Development and Agricultural Economics, 14(2), 89–99.
Babatunde, R. O., Adenuga, A. H., & Ajao, A. O. (2020). Targeting efficiency of agricultural subsidies in Nigeria: A stochastic frontier approach. Agricultural Finance Review, 80(2), 189–207. https://doi.org/10.1108/AFR-07-2019-0079
Bahta, Y. T., Jordaan, H., & Muyambo, T. (2022). Does farmer age influence resilience to external shocks? Evidence from drought-prone farming communities in southern Africa. Agricultural Systems, 198, 103381. https://doi.org/10.1016/j.agsy.2022.103381
Banker, R. D. (1984). Estimating most productive scale size using data envelopment analysis. European Journal of Operational Research, 17(1), 35–44. https://doi.org/10.1016/0377-2217(84)90038-7
Diiro, G. M., & Sam, A. G. (2020). The effect of agricultural extension on technical efficiency of maize producers in Uganda. Food Security, 12(4), 813–827. https://doi.org/10.1007/s12571-020-01027-8
Effiong, E. O., Okon, U. E., & Isong, I. U. (2021). Agricultural interventions and technical efficiency of rice farmers in Nigeria: A stochastic frontier approach. Journal of Agricultural Policy and Research, 9(3), 65–74.
Gatiso, T. T., Öhlund, J., & Wickramasinghe, U. (2022). Understanding the role of behavioral norms in the adoption of climate-smart agriculture: Evidence from Rwanda. Environmental Research Letters, 17(4), 045004. https://doi.org/10.1088/1748-9326/ac5b15
Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica, 47(1), 153–161. https://doi.org/10.2307/1912352
Knueppel, D., Demment, M. W., & Kaiser, L. (2009). Validation of the household food insecurity access scale in rural Tanzania. Public Health Nutrition, 13(3), 360–367. https://doi.org/10.1017/S136898000999180X
Leedy, P. D., & Ormrod, J. E. (2010). Practical research: Planning and design (9th ed.). Pearson Education.
Ndjeunga, J., Sarr, F., & Arouna, A. (2023). Education and agricultural technology adoption: Evidence from West Africa. Journal of Agricultural Economics, 74(1), 125–145. https://doi.org/10.1111/1477-9552.12473
Ojo, T. T., Olagunju, K. O., & Ogundari, K. (2023). Bridging participation gaps in rural programs: Empirical insights for sustainable agricultural transformation in Nigeria. Sustainability, 15(6), 5320. https://doi.org/10.3390/su15065320
Okunmadewa, F. (2020). Appraisal Environmental and Social Review Summary (ESRS) - NIGERIA: COVID-19 Action Recovery and Economic Stimulus - P174114 (English). Washington, D.C.: World Bank Group. Retrieved from
Onyeneke, R. U., Nwajiuba, C. U., & Igberi, C. O. (2020). Promoting food security and climate resilience through nutrition-sensitive agriculture: Evidence from Nigeria. Climate and Development, 12(2), 137–147. https://doi.org/10.1080/17565529.2019.1594663
Otekunrin, O. A., Otekunrin, O. A., Sawicka, B., & Pszczółkowski, P. (2021). Assessing food insecurity and its drivers among smallholder farming households in rural Oyo State, Nigeria: The HFIAS approach. Agriculture, 11(12), 1189. https://doi.org/10.3390/agriculture11121189
Suleiman, R., Ijioma, J. C., & Akpan, S. B. (2023). Understanding youth non-participation in agricultural programs in Nigeria: Evidence from a mixed-method study. Development Practice, 33(4), 512–527. https://doi.org/10.1080/09614524.2023.2176670
Tambo, J. A., & Wünscher, T. (2017). Enhancing resilience to climate shocks through farmer innovation: Evidence from northern Ghana. Regional Environmental Change, 17(5), 1505–1514. https://doi.org/10.1007/s10113-017-1113-y
Tasie, L. S., Kuku, O., & Ajibola, A. (2011). Review of literature on agricultural productivity, social capital and food security in Nigeria (No. 21). International Food Policy Research Institute (IFPRI).
Umeh, J. C., Ani, D. P., & Odoemenem, I. U. (2020). Effectiveness of agricultural interventions in enhancing market-oriented production among literate farmers in Nigeria. Journal of Agribusiness in Developing and Emerging Economies, 10(4), 395–411. https://doi.org/10.1108/JADEE-12-2019-0206
United States Department of Agriculture. (2021). GAIN Report: Grain and Feed – Nigeria. USDA Foreign Agricultural Service. https://www.fas.usda.gov/data/nigeria-grain-and-feed-annual-2021
Weiss, C. H. (1997). Theory-based evaluation: Past, present, and future. New Directions for Evaluation, 1997(76), 41–55. https://doi.org/10.1002/ev.1086
World Bank. (2020). Nigeria COVID-19 Action Recovery and Economic Stimulus Program (NG CARES). https://documents.worldbank.org
Yameogo, N. D., Mounkaila, B., & Tondé, T. (2021). Can agricultural input subsidies promote farm productivity among older farmers? Evidence from Burkina Faso. World Development Perspectives, 24, 100374. https://doi.org/10.1016/j.wdp.2021.100374
Zamfara State Government. (n.d.). Population and development statistics. Retrieved April 10, 2025, from https://www.zamfarastate.gov.ng