EFFECT OF VILLAGE LOAN AND SAVINGS ASSOCIATIONS (VSLAs) ON FARMER’S FOOD SECURITY AND INCOME IN KEBBI STATE, NIGERIA
Abstract
This study assessed the effect of Village Savings and Loan Associations (VSLAs) of the PROACT program on farmers’ food security and income in Kebbi State. Primary data were collected from a total of 576 respondents comprised of 288 participating farmers and 288 non – participating farmers sampled through the multistage sampling procedure. The data were analyzed using descriptive statistics, logit regression model, and propensity score matching techniques. The PSM result on the income of participants compared with non-participants revealed an average difference in income of ₦339,816.67 which was statistically significant at p≤0.01 probability level. The result of the propensity score matching (PSM) on food security shows an average treatment effect (ATE) score of 5.90 which was significant at p≤0.01 probability level. The difference in the average food security score shows the level of contribution of VSLA to household food security of the participants. The study concluded that VSLA has improved the income and food security of the participating farmers in Kebbi State and recommended its inclusion into the agricultural program for food security and poverty reduction in the study area.
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References
Allen, H. (2006). Village Savings and Loans Associations-sustainable and cost-effective rural finance. Small Enterprise Development, 17(1), 61.
Anyango, E. and Esipisu, E. (2007). Village Savings and Loan Associations – experience from Zanzibar. Small Entreprise Development, 18(1), pp. 16.
Baser, O. (2006). Too much ado about propensity score models? Comparing methods of propensity score matching. Value in Health, 9(6), 377-385.DOI:10.1111/j.1524-4733.2006.00130.x
Bergere, C. (2017). Digital society and the politics of youth in Guinea (Doctoral dissertation, Rutgers University-Camden Graduate School).
Borooah, V. K. (2002). Logit and probit. Thousand Oaks, California: Sage Publications.
Caliendo, M., and Kopening, S. (2005): The Micro econometric Estimation of Treatment Effect - An Overview. Frankfurt, J.W.Goethe University
CARE International (2013) Connecting the world’s poorest people to global economy: New models for linking informal saving groups to formal financial services :
Chinwe, U.N., Uzoma, O. O., Christy O., Chinyere E., Onalu A.A., Jacinta E. Angela I.O., Eghosa A.E., Antony A. N. and Taiwo O. (2019). An Impact Study of the Village Savings and Loan Asscoiction (VSLA) in Nigeria. Africa Population Studies, 33 (2): 10 -22
Coates, J., Swindale A. and Bilinsky P. (2007). Household Food Insecurity Access
Scale (HFIAS) For Measurement of Household Food Access: Indicator Guide (v. 3). Washington, D.C.: Food and Nutrition Technical Assistance Project, Academy for Educational Development
Dehejia, R. and Wahba, S. (2002). Propensity Score Matching Methods for Non-
Experimental Causal Studies: The Review of Economics and Statistics, 84(1): 151–161
Holden, S., and Lunduka, R. (2010). Impacts of the fertilizer subsidy program in
Malawi: targeting, household perceptions and preferences. Report to NORAD. Department of Economics and Resource Management, Norwegian University of Life Sciences
Heckman, J., Ichimura, H., Smith, J. and Todd, P. (1998). Characterizing selection bias using experimental data. Econometrica, 66: 1017-1098.
Karlan, D., Savonitto, B., Thuysbaert, B., and Udry, C. (2007). Impact of savings groups on the lives of the poor. Proceedings of the National Academy of Sciences, 114(12), 3079-3084.
Kebbi State Government (KBSG) (2008). The diary of Kebbi State of Nigeria. Land of equity, Government press Birnin-Kebbi, Pp. 1-4.
Lechner, M. (2002). Program heterogeneity and propensity score matching: An application to the evaluation of active labor market policies. Review of Economics and Statistics, 84: 205-220.
Lønborg, J. H. and Rasmussen, O.D. (2014). Can Microfinance Reach the Poorest: : Evidence from a Community-Managed Microfinance Intervention Study Paper No. 55 Published by the Rockwool Foundation Research Unit Address: The Rockwool Foundation Research Unit Soelvgade, Copenhagen
Mohammed, R. (2019). Progress on the Economic Empowerment of Female Entrepreneurs in Kenya's 30% Preferential Public Procurement Policy.
Nixon, M. K.(2004). An Assessment of the Impact of Kilimo Plus Subsidy Program
Smallholder farmers’ food security and income in Nakuri North District, Kenya.
An unpublished Thesis, Department of Agricultural Economics, Faculty of
Agriculture, Egerton Universality, Kenya
Smith, J., and Todd, P. E. (2005): “Does Matching Overcome LaLonde’s Critique of Non-experimental Estimators?” Journal of Econometrics, 125(1-2), 305–35
World Bank (2019). The World Bank Annual Report 2019: Ending Poverty, Investing in
Opportunity. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/32333 License: CC. BY-NC-ND 3.0
Yamane, T. (1967). Statistics: An Introductory Analysis, 2nd Edition. New York: Harper and Row
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