This study estimates the technical, allocative and economic efficiency of maize-producing farms in Benin and identifies the determining factors of these efficiencies in a context of adaptation to climate change. To achieve this, data was collected from a sample of 402 corn farmers randomly selected from the municipalities most vulnerable to the effects of climate change and located within the Okpara watershed perimeters. The parametric stochastic frontier approach was adopted to estimate a seedling-log stochastic frontier and a dual cost function of corn farms using the Frontier program of Stata 13 software. The Tobit regression model was used in order to identify the factors determining the efficiency of producers. The results show that the operators are all technically efficient and have significant random effects. However, the results from the cost frontier show the presence of allocative inefficiency within production units. The estimated technical, allocative and economic efficiencies are respectively on average 0,94, 0,60 and 0,57. Finally, estimation of the determinants of efficiency has shown that, the supply of mineral manure, experience in maize production, crop rotation as well as the level of education are the main determinants of efficiency.
