The objective of this study is to analyze and measure the levels of technical efficiency of agro-industrial branches in order to detect the explanatory factors of these different levels. We used the DEA (Data Envelopment Analysis) method to measure the technical efficiency levels of Cameroon’s agroindustrial branches over the 2005-2014, period using the SPAD 9.1 software. The non-parametric method as a framework of analysis that is justified by the uncertainty of the functional relationship linking inputs and outputs in the agribusiness sector. To identify explanatory factors for the efficiency levels of agro-industrial branches, then we estimated a multiple linear regression model. It appears that the total technical efficiency was 0.31; the technical efficiency at 0.503 and the efficiency of scale at 0.371. The best performance was achieved in 2008, i.e 0.836; the lowest 0.279 in 2012.
The objective of this study is to analyze and measure the levels of technical efficiency of agro-industrial branches in order to detect the explanatory factors of these different levels. We used the DEA (Data Envelopment Analysis) method to measure the technical efficiency levels of Cameroon's agro- industrial branches over the 2005-2014, period using the SPAD 9.1 software. The non-parametric method as a framework of analysis that is justified by the uncertainty of the functional relationship linking inputs and outputs in the agribusiness sector. To identify explanatory factors for the efficiency levels of agro-industrial branches, then we estimated a multiple linear regression model. It appears that the total technical efficiency was 0.31; the technical efficiency at 0.503 and the efficiency of scale at 0.371. The best performance was achieved in 2008, i.e 0.836; the lowest 0.279 in 2012.