Airline Productivity and Efficiency: Concept, Measurement, and Applications

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter provides a survey of alternative methodologies for measuring and comparing productivity and efficiency of airlines, and reviews representative empirical studies. The survey shows the apparent shift from index procedures and traditional OLS estimation of production and cost functions to stochastic frontier methods and Data Envelopment Analysis (DEA) methods over the past three decades. Most of the airline productivity and efficiency studies over the last decade adopt some variant of DEA methods. Researchers in the 1980s and 1990s were mostly interested in the effects of deregulation and liberalization on airline productivity and efficiency as well as the effects of ownership and governance structure. Since the 2000s, however, studies tend to focus on how business models and management strategies affect the performance of airlines. Environmental efficiency now becomes an important area of airline productivity and efficiency studies, focusing on CO2 emission as a negative or undesirable output. Despite the fact that quality of service is an important aspect of airline business, limited attempts have been made to incorporate quality of service in productivity and efficiency analysis.
Original languageAmerican English
Title of host publicationAirline Efficiency
StatePublished - 2016

Keywords

  • airline productivity
  • efficiency
  • airlines
  • data development analysis
  • total factor productivity
  • stochastic frontier

Disciplines

  • Business
  • Transportation

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