REMSES Outils de lecture

This article aims to examine the total factor productivity of agriculture in Mali because agriculture occupies a prominent place in the economy of each nation in general and also of Mali in particular. To achieve this, we used a linear programming model to examine the sources of agricultural productivity growth from the nonparametric approach of the Sten Malmquist index of productivity. This programming was mainly focused on 3 agricultural sectors, namely cotton, rice and millet for reasons of the specificity of production, trade and their weight in the agricultural economy of Mali. Data processing was done under R software version 3.4.4 (2018-03-15), RStudio-1.1.453 built from FAO, Countrysat, OECD and World Bank databases from 1990 to 2016. At the end of the results obtained, the Malmquist index is 2.4912 higher than that (1.9291) of Africa due mainly to technological efficiency (2.4912) that technical equal to 1 (Kassogue B., 20220). Further, the decomposition of this index into technical efficiency revealed a pure inefficiency of 0.9999 and a scale inefficiency of 1.0000 by an ineffective decision-making unit at the threshold of 76.663 following a bad combination of the production factors.