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Incorporating negative externalities into productivity assessments of US airports

This paper analyses the efficiency of 44 US airports for the period 2005–2009. In addition to the conventional outputs (i.e., passengers, flights and cargo), we consider three undesirable externalities of airport activities: delays, noise and local air pollution. We adopt a directional distance function approach and perform a second stage analysis to investigate potential determinants of efficiency. Our base case results with only the positive outputs show that the greater the average aircraft size serving an airport and the larger the dimensions of the airport, the higher the technical efficiency. However, our results are sensitive to the inclusion of the undesirable outputs. The implications are that the inclusion of these externalities into the calculation of efficiency may impact policy decisions.
- University of Maryland, Baltimore United States
- Embry–Riddle Aeronautical University United States
- University of Bergamo Italy
- University of Maryland, College Park United States
- Embry–Riddle Aeronautical University United States
noise, airport technical efficiency, airport delays, Airport policy, directional distance function, Settore SECS-P/06 - Economia Applicata, pollution, Settore SECS-P/01 - Economia Politica, Airport policy; directional distance function; airport technical efficiency; noise; pollution; airport delays
noise, airport technical efficiency, airport delays, Airport policy, directional distance function, Settore SECS-P/06 - Economia Applicata, pollution, Settore SECS-P/01 - Economia Politica, Airport policy; directional distance function; airport technical efficiency; noise; pollution; airport delays
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).19 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
