Data Envelopment Analysis and Bootstrap Approaches for Efficiency Measure of the Autonomous Port of Dakar

In this article, we measure the e_ciency of the Autonomous Port of Dakar (APD) and identify the causes of inefficiency for the year 2021. Measuring port e_ciency is an important factor in strengthening its competitiveness and stimulating national development. In the literature, the most widely used methods for measuring e_ciency in the port sector are parametric and non-parametric methods. Our objective is to apply Data Envelopment Analysis (DEA) with two models, namely: the Charnes, Cooper and Rhodes (CCR) and Banker, Charnes and Cooper (BCC) to determine the efficiency scores and the bootstrap approach the Simar and Wilson in 2007 to correct the errors and determine the confidence intervals. Numerical simulations are performed in the two distinct zones separated by a Fishing Port (FP), Naval Repair Workshops (NRW) and the Military Zone (MZ), while the others zones are the Decision-Making Units (DMUs), detailed in table 2. The results show that APD obtains six (6) e_ective DMUs with CCR model (average score of 0.858) and ten (10) effiective DMUs with BCC model (average score of 0.951). The average scale efficiency is 0.897. With the bootstrap approach, we obtain an average bias-corrected of 0.700 for CCR model (with confidence intervals of [0.324; 0.1291]) and 0.870 for BCC model (with confidence intervals of [0.620; 1.197]). These results will allow the decision makers of the Dakar port authority to improve its performance and competitiveness at the national and international levels.