Academic literature posed a great focus on the estimation of airport efficiency and productivity in the last decade. Using a spatial approach, which allows for the inclusion of a distance matrix and a shared destinations matrix calibrated for different distances, we estimate the impact of competition on efficiencies. By analysing statistical differences between a traditional and a spatial model, it is possible to identify possible competition effects. In this study, we analyse 206 airports for the year 2015 located in Europe, North America, and Pacific Asia sourced from the ATRS database. Our results show the existence of a spatial component that is not captured by the traditional stochastic frontier analysis. We find that competition has a positive or negative effect on the efficiency level of an airport, depending on the distance considered in the spatial model.
Competition among airports at worldwide level: a spatial analysis
Bergantino, Angela S.;Intini, Mario
;Volta, Nicola
2020-01-01
Abstract
Academic literature posed a great focus on the estimation of airport efficiency and productivity in the last decade. Using a spatial approach, which allows for the inclusion of a distance matrix and a shared destinations matrix calibrated for different distances, we estimate the impact of competition on efficiencies. By analysing statistical differences between a traditional and a spatial model, it is possible to identify possible competition effects. In this study, we analyse 206 airports for the year 2015 located in Europe, North America, and Pacific Asia sourced from the ATRS database. Our results show the existence of a spatial component that is not captured by the traditional stochastic frontier analysis. We find that competition has a positive or negative effect on the efficiency level of an airport, depending on the distance considered in the spatial model.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
