This article aims to study the factors influencing consumers' purchasing behavior on organic vegetable. The main instrument for data collection used in this study is the questionnaire distributed to 323 respondents on the basis of random and convenience sampling. The purpose of this study is to examine the reliability of the empirical data; therefore, the consistency analysis has been done using Cornbrash's alpha method. Various statistical methods and techniques such as factor analysis and multiple linear regression models were run by means of the data collected through a structured questionnaire. In terms of proportional marketing mix impact, it is observed that place, product and promotion factors have higher impacts on organic vegetable consumers decision process; whereas, the factor with medium level is price. Results showed the strong support for consumers' attitude towards organic vegetables is influenced by product specific attitude, health consciousness, perceived price and knowledge of organic vegetables.

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.