Abstract
We estimate the technical efficiency of a sample of Italian airports over the period 2000-2004, using a bias-corrected DEA estimates (Simar and Wilson 1998, 2000 and 2002). Two models “physical” and “revenue” are used to gain managerial insights about the areas of inefficiency. The results show a technology characterized by constant returns to scale, an increase merely in revenue efficiency and different benchmarks according to the model used. The joint analysis of the two models through a scatter plot matrix identifies three groups of airports: two of them are mostly operational inefficient, while one boasts the leadership in managerial efficiency.