Production function analysis of cassava sole cropping systems in Akwa Ibrm state, Nigeria

Abstract

An analysis of production function of cassava under sole cropping system in Akwa Ibom State, Nigeria, was carried out. A total of 150 cassava farmers were randomly selected from Uyo Agricultural Zone of Akwa Ibom State, using a semi-structured questionnaire. Multiple regression analysis model was the main tool of data analysis where different functions were tested. Results showed that Cobb-Douglass (double-log) production function had the best fit in explaining the relationship between output and inputs used, the coefficient of multiple determinant (R2=0.94) indicated that 94% of the variability in output of cassava is explained by the independent variables. The F-ratio of 209.77 indicated the overall significance of the model at 1% level. The production function analysis revealed that fertilizer and labour were inefficiently used. The marginal value products of fertilizer, cassava stem, labour and other operating expenses were N37.40, N108.33, N217.66 and N106.30 respectively, indicating allocation inefficiency. There is a high potential for farmers to increase their yields and income by improving on production efficiency and adopting new technologies. It is therefore recommended that extension agents should train farmers on the adoption of new technologies.