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DOI:
https://doi.org/10.14295/transportes.v23i4.988Keywords:
Port Evaluation, Data Envelopment Analysis (DEA), Copeland's Ordinal Method.Abstract
As the cargo type directly influences the required infrastructure to its handling, some port units seek the specialization or diversification of its activities. This study applies Data Envelopment Analysis and, for comparative purposes, Copeland´s ordinal method to evaluate the relative importance of each unit in the Brazilian port sector for national trade within the business sector each one operates. Given the non-homogeneity, we divide the units in eight clusters, depending on the nature of the cargo handled. As this segregation is straightforward, we do not use any mathematical tool for this purpose. Then, we apply the two above-mentioned decision-aid approaches. In the first case, we use a unitary input model, in which the input is the very existence of the port unit; in addition, to increase the discrimination, we use the normalized composite efficiency index instead of the standard. The results indicate that the Copeland and the composite index rankings are quite similar. This study also highlights the differences between unitary input DEA models and ordinal methods, with regard to their results, indicating the most adequate model in each type of situation.Downloads
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