Estimation of Productivity Growth, Technical Progress and Efficiency Changes of Fishing Vessels in Lake Kivu of Rwanda

Abstract

This research evaluates the technical efficiency estimated for 6 fishing vessels from 2001 to 2016 by using Data Envelopment Analysis (DEA). Input orientated continues variable return to scale (VRS) was used. Based on the input- and output-oriented CCR model, productive units DMU (1) was found to have the objective function value equal to one. This means that DMU (1) and (2), were efficient, but the other vessels were inefficient since TE < 1.Fishing vessels of between (2001 and 2016) were estimated by using DEA –solver, the basic BCC-1 Model. The BCC-1 Model continues variable returns to scale (VRS). The efficiency rate was evaluated through examining input-oriented (BCC Model).Based on this analysis, the mean technological efficiency of entire fishing vessels in Lake Kivu were inefficient. The movement of technological efficiency caused the raise in productivity of Lake Kivu fisheries. On top of all, technological progress and scale efficiency took part as a vital function in the changes in efficiency of each fishery. To sustain productivity, it is better to improve good fisheries management policies by the government and efforts by the fishing industries that help productivity boost.