Nigeria Agricultural Journal

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Analyses of resource use, productivity and technical efficiency among local rice farmers in Bayelsa State, Nigeria

L.A. Onyegbulam, E Alleluyanatha, J.A. Mbanasor, E Gabolu


This study analyzed the effect of resource use on productivity and technical efficiency of rice farmers in Bayelsa State, Nigeria. Primary data were collected using well-structured questionnaire from 40 rice farmers randomly selected. Descriptive statistics such as frequencies, means and percentages and econometric models such as regression, stochastic frontier and instrumental variable estimator were adopted for data analyses using STATA 13.0. Rice production in this study area is commercialized with about 50% of farmers cultivating 2.2hectares of land. The ordinary least squares regression (OLS) estimates found household size to be significant and negatively related to yield of rice at 1% and training and mandays used for planting at 5% level each. Conversely, number of times trained in rice production and use of fertilizer in production were all significant and positively related to the yield of rice in the study area at I%, level each and land ownership at 5% level. MLE result further revealed that while farmers are 65% technically efficient in use of input resources, the estimated value of γ is 0.796934 which clearly indicates that 79.69% of total variation rice yield is due to technical inefficiency. Government need to discover the synergies between credit/fertilizer supply and farmers and develop an efficient and on-time distribution channels for farm inputs to allow farmers attain their productive potential in rice farming and in addition, identify the potentials of farmer clusters for market development for their produce to generate increased income for their production. Training is a critical factor influencing output and thus calls for increased capacity building among farmers in rice production to help them cope with exogenous elements such as changing weather conditions.

Keywords: Technical efficiency, Stochastic frontier, Output and Rice farmers

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