The aim of this study is to estimate the performance of 38 Greek airports. The analysis is performed in
two stages. Firstly, efficiency scores for each airport are estimated using Data Envelopment Analysis
(DEA) original and bootstrap techniques. Secondly, statistical assessments (ManneWhitney U and
KruskaleWallis tests) and a censored Tobit regression model are employed to identify which factors
significantly explain variations in the airport efficiency. The results indicated the scope for substantial
efficiency improvements. In addition, island location, connectivity, and hotel infrastructure in the area
were found to be significant factors affecting airport efficiency