The transition to more environmentally sustainable production processes and managerial practices is an increasingly important topic. Many industries need to undergo radical change to meet environmental sustainability requirements; the tourism industry is no exception. In this respect, a particular aspect that needs further attention is the relationship between airport performances and investments in environmental sustainability policies. This work represents a first attempt to provide empirical evidences about this relationship. Through the application of a non-parametrical method, we first assess the efficiency of the Italian airports’ industry. Secondly, we investigated the relationship between airports’ performance and management commitment toward the ecological transition using a Tobit regression model. The results show that airports’ adherence to formal multi-year ecological transition programs has a positive and consistent impact on their performance.

Airports performances and sustainable practices: an empirical study on Italian data

Dickson, Maria Michela;Espa, Giuseppe
2023

Abstract

The transition to more environmentally sustainable production processes and managerial practices is an increasingly important topic. Many industries need to undergo radical change to meet environmental sustainability requirements; the tourism industry is no exception. In this respect, a particular aspect that needs further attention is the relationship between airport performances and investments in environmental sustainability policies. This work represents a first attempt to provide empirical evidences about this relationship. Through the application of a non-parametrical method, we first assess the efficiency of the Italian airports’ industry. Secondly, we investigated the relationship between airports’ performance and management commitment toward the ecological transition using a Tobit regression model. The results show that airports’ adherence to formal multi-year ecological transition programs has a positive and consistent impact on their performance.
2023
SIS 2023: Statistical Learning, Sustanaibility and Impact Evolution: Book of the Short Papers
SIS 2023
9788891935618
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3529482
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