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Airline environmental efficiency measures considering negative data: An application of a modified network Modified Slacks-based measure model

机译:考虑负数据的航空公司环境效率措施:一种应用改进的网络改造的基于狭缝的测量模型

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摘要

In this paper, we propose a new network Modified Slacks-based Measure (MSBM) model to measure environmental efficiencies of airlines when the inputs or outputs of airlines are negative. The samples are 25 global airlines from 2008 to 2018 who have negative input or output. In contrast to traditional models, this model can deal with negative data and combine the network DEA with MSBM model. Based on this, we get several important results: (1) Norwegian performs the best among these 25 airlines during 2008 -2018, while Air France-KLM has the lowest overall efficiency. (2) For most airlines, their environmental efficiencies are lower than production efficiencies. (3) In order to improve the overall efficiency, airlines should take the first step to improve the efficiency of the operations stage. (4) Delta is the company with the largest increase in efficiency from 2008 to 2018. (5) The airlines in Europe perform better than the airlines of Asia, America and Oceania in all efficiencies.
机译:在本文中,我们提出了一种新的网络改造的基于Slacks的度量(MSBM)模型,以测量航空公司的输入或输出负数时的航空公司的环境效率。来自2008年至2018年的样本是25个全球航空公司,他们具有负输入或产出。与传统模型相比,该模型可以处理负数据并将网络DEA与MSBM模型相结合。基于此,我们得到了几个重要结果:(1)挪威语在2008年至2018年期间在这25个航空公司中表现了最佳,而空气法国-KLM具有最低的整体效率。 (2)对于大多数航空公司,他们的环境效率低于生产效率。 (3)为了提高整体效率,航空公司应采取第一步提高运营阶段的效率。 (4)三角洲公司是2008年至2018年效率最大的最大效率。(5)欧洲航空公司在所有效率下比航空公司,美国和大洋洲的航空公司表现更好。

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