Indigenous technology Adoption and Poverty Reduction in Rural Nigeria


  • N.A. Sofoluwe Department of Agricultural Economics, Obafemi Awolowo University, Osun state, Nigeria
  • A.A. Tijani Department of Agricultural Economics, Obafemi Awolowo University, Osun state, Nigeria
  • K. Ogundari Institute of Food Economics and Consumption Studies, University of Kiel, Germany


This paper evaluates the potential impact of indigenous agricultural technology adoption on poverty of farm households. It does so through an empirical investigation of the relationship between adoption of indigenous innovation, of the crop protection type, and wellbeing of farm households in Nigeria. As the indigenous innovation adoption is not randomly assigned but there is ‘self-selection into treatment’, the paper tackles a methodological issue in assessing the causal ’effect of the innovation on farm-household wellbeing through the non-parametric matching analyses applied to a cross sectional survey data. It pursues a targeted evaluation of whether adopting the indigenous technology improves farmers income and subsequently their well being. The result revealed a positive and significant effect of adoption on adopter’s income suggesting that there is a large scope for enhancing the role of indigenous agricultural innovation in ‘directly’ contributing to poverty alleviation.


Abdulai, A., Binder, C.R., 2006. Slash-and-burn cultivation practice and agricultural input demand and output supply. Environ. Dev. Econ. 11, 201–220.

Adejumo, T. O. 2005. Crop protection strategies for major diseases of cocoa, coffee and cashew in Nigeria. African Journal of Biotechnology, 4 (2): 143-150

Asogwa, E.U. and Dongo, L.N. 2009. Problems associated with pesticide usage and application in Nigerian cocoa production: A review. African Journal of Agricultural Research, 4 (8): 675-683.

Ayanwale, Adeolu B and Alimi Taiwo, 2004. Micro financing as a Poverty Alleviation Measure: A Gender Analysis. Journal of Social Science, 9(2): 111-117.

Bayer, W. and Wanyama, J. 2006. Biotechnology in animal agriculture and poverty alleviation: an NGO perspective. Proceedings of the 4th All Africa Conference on Animal Agriculture and the 31st annual meeting of Tanzania Society for Animal Production, Arusha, Tanzania, 20–24 September 2005. TSAP (Tanzania Society for Animal Production), Dar es Salaam, Tanzania, and ILRI (International Livestock Research Institute), Nairobi, Kenya.

Becker, S.O., Ichino, A., 2002. Estimation of average treatment effects based on propensity scores. Stata Journal 2(4), 358–377.

Blundell, R., Costa Dias, M. 2000. Evaluation methods for non-experimental data. Fisc. Stud. 21, 427–468

Dehejia, H. R., and Wahba, S. 2002. Propensity score matching methods for nonexperimental causal studies. The Rev. Econ. Stat. 84(1), 151–161.

Dongo, L. N. and Orisanjo, S.B. 2007. Status of cocoa swollen shoot virus disease in Nigeria. African Journal of Biotechnology, 6 (17): 2054-2061

Heckman, J., Ichimura, H., Todd, P., 1997. Matching as an econometric evaluation estimator. Rev. Econ. Stud. 65(2), 261–294.

Ichino, A., 2001. Il problema della causalita. Una introduzione generale ed un esempio. In: Brucchi, L. (Ed.), Manuale di Economia del Lavoro. Il Mulino, Bologna, Italy.

Ikemefuna PN 1998. Agrochemicals and the environment. NOVARTIS Newsletter. 4(1): p.2.

Imbens, G.W., 2004. Nonparametric estimation of average treatment effects under exogeneity: A review. Rev. Econ. Stat. 86(1), 4–29.

Mendola, M. (2007). Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh. Food Policy, 32 (2007): 372–393.

Mugisha-Kamatenesi.M., Deng,A.L., Ogendo,J.O, Omolo,E.O., Mihale,M.J,, M. Otim,M., Buyungo,J.P., and Bett, P.K. 2008. Indigenous knowledge of field insect pests and their management around lake Victoria basin in Uganda. African Journal of Environmental Science and Technology, 2 (8): 342-348.

Nas M.N 2004 In vitro studies on some natural beverages Curobacterium folaccumfaciensis subsp. poinsettiae. Turk. J. Agric. 28: 57-61.

Rosenbaum, P. R., Rubin, D. B., 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70(1), 41–55.

Smith, J.A and Todd, P.E. 2005. Does Matching overcome LaLonde’s Critique of Nonexperimental Estimators? Journal of econometrics, volume 125, No. 1-2: 305-353.

Sosan, M.B., Akingbohungbe, A.E., Durosinmi, M.A., and Ojo. 2010. Erythrocyte Cholinesterase Enzyme Activity and Haemoglobin Valves in Cacao Farmers of Southwestern Nigeria as related to Insecticide Exposure. Archives of Environmental and Occupational Health, Vol. 65, No. 1.

Stoll G 2000. Natural Crop protection in the tropics: Letting information come to life. 2nd enlarged edition. Margraf Verlag 2000. Weikersheim. p. 376.

Tijani, A.A. and Omondiagbe, K.F. 2006. Profitability of indigenous pest control methods: the case of cocoa farmers in Osun State, Nigeria. UNISWA Research Journal of Agriculture, Science and Technology, 9(2): 140-148.