Race to the bottom or swimming upstream: Performance analysis of US airlines

J Air Transp Manag. 2009 Sep;15(5):227-235. doi: 10.1016/j.jairtraman.2008.09.014. Epub 2008 Dec 21.

Abstract

Data envelopment analysis is used to examine inter-temporal and peer group airline efficiency. Results for the US for 1985-2006 indicate that airline performance is converging over time. In particular, airlines inter-temporal inefficiency peaked earlier and then converged. Furthermore, using Tobit specifications it is seen that while demand intensity matters less in determining airlines inter-temporal inefficiency, their influence is stronger in determining peer group inefficiency. Block time, a representative of operational factors, tends to negatively impact airlines efficiency by imposing burdens on airline operations. Among the structural cost and revenue factors, fuel cost tends to affect inter-temporal inefficiency more robustly than it does to peer group efficiency. Labor pay tends to reduce inefficiency in case of inter-temporal while increasing peer group inefficiency. The events of September 11th had little or no impact on inter-temporal inefficiency but tended to reduce peer group inefficiency in a significant way. Finally, airlines efficiency tends to be robustly affected by block hours; reducing them increases efficiency.

Keywords: Data envelopment analysis; Economic efficiency; Low-cost airlines; US airlines.