EconPapers    
Economics at your fingertips  
 

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

Qiang Cui and Zi-yin Jin

Energy, 2020, vol. 207, issue C

Abstract: 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.

Keywords: Airline environmental efficiency; Negative data; Network data envelopment analysis; Modified slack-based measure (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544220313281
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:207:y:2020:i:c:s0360544220313281

DOI: 10.1016/j.energy.2020.118221

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:207:y:2020:i:c:s0360544220313281