A eficiência aeroportuária brasileira sob a ótica de Modelos DEA em redes considerando interações estratégicas.

Abstract

The present study aims to evaluate the efficiency of Brazilian airports managed by the Brazilian Airport Infrastructure Company (INFRAERO) using a joint approach of Data Envelopment Analysis (DEA) and Game Theory. To carry out this evaluation, a study was conducted with a sample of 31 airports distributed in different regions of the country, with data for the year 2019. The proposed method is structured with a two-stage network model with noncooperative play. In this approach, one of the stages is considered the leader, and its efficiency is optimized first, while the efficiency of the other stage is later optimized under this condition. Efficiency scores were also obtained through the centralized game. According to the results, Congonhas airport is globally efficient. But in general, the sample has low overall efficiency, and a better performance is obtained considering the second stage as the leader.