The present was carried out of Technical Efficiency in the Process of Exploitation Palm Oil in Lobaye Locality, Central Africa Republic. Primary data used in the study were collected through well-structured questionnaire administered with 150 randomly selected oil palm processors in the study area. Descriptive statistics, analysis and the Stochastic Frontier Production Function were used to analyze the data. The average technical efficiency of agricultural production by farmers on a variable scale of yield is 0.81. This means that agricultural production will increase by 0.68% compared to the current level of inputs. The result shows that 0.95% of the sample is the technical efficiency of the variable scale inputs. This means that agricultural production can be increased. Results have shown that productivity is significantly influenced by producer education in the area of yield. It is recommended that policies improve the training of producers in order to build capacity to continuously increase their regular production.

This work analyzes the technical efficiency of maize farmers and its influencing factors in Ombella Mpoko, Central African Republic, using the data from primary source of the farmers in the region of Boali and Damara. Data was collected using a structured questionnaire, on farmers' output of maize, inputs used in the production process (land, capital, labor, fertilizer and cuttings) on each plot, and the socio-economic and plot-specific characteristics. This included farmer's age, level of education, household size, and farm size, membership in cooperative and producer organizations as well as other relevant variables. The study employed the Stochastic Frontier Analysis (SFA) Approach and the Tobit model. The result shows that socio-economic factors, environmental factors and physical and technical factors have a significant influence on maize production in study area. In other words, this shows that technical inefficiency effects do make a significant contribution to the level and variation of maize production in Boali, Damara, and Ombella. That is why the final null hypothesis explores the test that specifies each farm is operating on the technically efficient frontier and that the systematic and random technical efficiency in the inefficiency effects are zero. This is rejected in favor of the presence of inefficiency effects.