Estimating the Technical Efficiency of Cassava Producers in Lobaye Province, Central African Republic
Agriculture plays a key role in sustaining livelihoods in developing African economies; it’s the most important in terms of employment and income generation and therefore an increased productivity in subsistence and smallholder agriculture is very essential in economic growth, income generation, and better access to food. This study analyses the technical efficiency of cassava producers in Central African Republic; Lobaye Province. Data was collected using a structured questionnaire which was administered to cassava farmers, attributes regarding the household head biographic information, access to agricultural extension, capital, marketing and economic resources use. A Stochastic Frontier Analysis (SFA) and a Tobit regression models were used to estimate the technical efficiency and establish the factors affecting technical efficiency respectively. Results indicate that the technical efficiency of cassava producers in Lobaye province ranged from a low of 38.76% and a high 87.02% with a mean of 74.91%, this therefore means that there is room for improvement of efficiency ceteris peribus. The study recommends improving policies that directly or indirectly enhance availability of certified cuttings of cassava and enhanced access to agricultural extension services by smallholder farmers.
Keywords: Cassava; Technical efficiency; Stochastic Frontier Analysis; Tobit model; Central African Republic