An integrated data envelopment analysis framework for operational efficiency assessment in Brazilian international airports

Decision Analytics Journal Pub Date : 2024-06-13 DOI:10.1016/j.dajour.2024.100493

Maiquiel Schmidt de Oliveira , Vilmar Steffen , Franklin Angelo Krukoski , Maressa Fontana Mezoni , Flávio Trojan

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Abstract

International airports play a significant role in a country’s economic development. We propose an integrated framework for operational efficiency analysis using Data Envelopment Analysis, Windows Analysis, and Malmquist Index to identify inefficiencies and areas of improvement in the air transportation industry. This study analyzed 23 Brazilian international airports from 2010 to 2021, using the DEA Window Analysis (DEAWA) combined with the Index (MI). The airports were grouped geographically in southern Brazil. The integration of these methods brought an important insight to the evaluation processes, even for those previously analyzed using DEA. The analyses found that COVID-19 potently influenced the drop in the efficiency index. No airport was fully efficient over the analyzed periods. Private airports achieved an efficiency index slightly higher than public ones, but the difference of the efficiency index by public–private management type is not clear. This type of analysis provides a strategic and comparative tool, making it possible to understand better the weaknesses of the air transportation system.

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用于评估巴西国际机场运营效率的综合数据包络分析框架

国际机场在国家经济发展中发挥着重要作用。我们提出了一个利用数据包络分析、窗口分析和马尔奎斯特指数进行运营效率分析的综合框架，以确定航空运输业的低效率和需要改进的领域。本研究使用数据包络分析窗口分析法（DEAWA）和马尔姆奎斯特指数（MI）对 2010 年至 2021 年期间的 23 个巴西国际机场进行了分析。这些机场按地理位置分布在巴西南部。这些方法的整合为评估过程带来了重要的启示，即使是之前使用 DEA 分析的机场也不例外。分析发现，COVID-19 对效率指数的下降有很大影响。在分析期间，没有一个机场是完全高效的。私营机场的效率指数略高于公共机场，但公私管理类型的效率指数差异并不明显。这类分析提供了一个战略性的比较工具，使我们能够更好地了解航空运输系统的弱点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Decision Analytics Journal

CiteScore

3.90

自引率

0.00%

发文量