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This paper evaluates the relationship between corruption and operational efficiency of airports in Asia, by analyzing a panel dataset of 26 Asian airports over the 2003–2019 period. Our estimation results for Asia confirm the findings for other regions that there exists a negative association between the operational efficiencies of airports and the corruption level in the country. Airports owned, operated and/or managed by government corporations (100% government) are the most affected, in that they experience significant loss of efficiency when located in a high corruption country. The residual variable factor productivity (RVFP) from the Air Transport Research Society (ATRS) airport benchmarking reports is used as measure of airport operational efficiency. Regression analyses are applied to evaluate the relationship between airport efficiency and corruption. The results are robust to alternative corruption indexes. The findings of this paper have important policy implications for the management of large public infrastructure projects and airport governance reforms in Asia. • We assess the impact of corruption on airport efficiency in Asia. • The dataset covers 26 airports located in 10 Asian countries over the 2003–2019 period. • Residual Variable Factor Productivity is used as measure of airport efficiency. • Analyses show a negative association between airport efficiency and corruption in Asia. • Corruption impacts are stronger for airports under public corporations. [ABSTRACT FROM AUTHOR]

Highlights: [•] A differentiated Bertrand high speed rail and airline network game is developed. [•] We analyze airline liberalization, intermodal competition & airport slot allocation. [•] A case study of Northeast Asia highlights social welfare benefits of opening skies. [•] However, benefits between countries are uneven, limiting likely implementation. [•] Liberalization & matching slot allocation policies maximize benefits to society. [Copyright &y& Elsevier]