FLOOD AND CASSAVA PRODUCTIVITY IN KOGI STATE, NIGERIA: A QUANTITATIVE ANALYSIS USING CROSS-SECTIONAL DATA

Abstract

The study assessed the effect of the 2012 flood disaster on cassava productivity in Kogi State and identified the adaptation measures and resilience capacity of the cassava farmers affected by the flood. To achieve the objectives of the study, the “with and without” approach involving the flood affected farmers and control group was employed to ascertain and compare the effect of the flood on cassava productivity. Simple descriptive statistics, productivity index, z-test of two means and multiple regression analysis were employed to analyse the data collected. The result indicated a significant cassava productivity differentials of about 56% between the flood affected farmers and the control population. The multiple regression analysis result further confirmed that flood had a significant effect on cassava productivity amongst the respondents at 5% level of significance. Against this backdrop, there is the need for farmers to continue to diversify their farming practices with a view to mitigating the effect of future flood occurrence, adopt drought resistant cassava varieties while the National Emergency Management Agency (NEMA) should in conjunction with the Nigerian Meteorological Agency (NIMET), Kogi State Government and the Media create effective climatic situation awareness for cassava farmers within the State with the view to containing and minimizing the adverse effect of flooding.