An evaluation of the world's major airlines' technical and environmental performance
Amir Arjomandi and
Juergen Seufert ()
Economic Modelling, 2014, vol. 41, issue C, 133-144
Abstract:
In this empirical study, we apply bootstrapped data envelopment analysis (DEA) models under variable returns to scale to examine both the environmental and technical efficiencies of airlines. Using the regional classification of the International Air Transport Association (IATA), we chose 48 of the world's major full-service and low-cost carriers from six different regions, and then estimated their performance over the period 2007–2010. Our empirical results show that many of the most technically efficient airlines are from China and North Asia, whilst many of the best environmental performers are from Europe. We also found that although the number of environmentally oriented full-service carriers is increasing, low-cost carriers are still more environmentally oriented. Our findings show that almost all the low-cost carriers are technically operating under increasing returns to scale in all the studied years. However, this result was quite the opposite of what we found for the largest airlines.
Keywords: Aviation; Efficiency; Emissions; Data envelopment analysis; Bootstrap (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999314001692
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:ecmode:v:41:y:2014:i:c:p:133-144
DOI: 10.1016/j.econmod.2014.05.002
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().