The Italian airport industry in transition: a performance analysis

Curi, Claudia; Gitto, Simone; Mancuso, Paolo

doi:10.1016/j.jairtraman.2009.11.001

Cited by 72 publications

(35 citation statements)

References 5 publications

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“…Both models indicate that the effect of ownership on SMA efficiency is about 14% and 12% larger, in logit and cloglog, respectively, for public than for private SMA. This result was contrary to our expectations; however, similar results are found in the study of Curi et al (2010) on the efficiency of Italian airports and in the research conducted by Ha et al (2013) on the performance evaluation of Northeast Asian airports. These results provide some evidence that privatization is not a key driver for higher utilization of the available airport infrastructure and higher productivity at the regional level.…”

Section: Regression Analysiscontrasting

confidence: 99%

Efficiency assessment and output maximization possibilities of European small and medium sized airports

Gutiérrez

Lozano

2016

Research in Transportation Economics

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The aim of this research is to investigate the operational efficiency and potential output increase scenarios of 21 small and medium sized airports (SMA) located in 10 different European countries. A key feature of the proposed Data Envelopment Analysis (DEA) models is the consideration of two novel inputs related to the number of airlines and scheduled routes operating at each airport, in addition to the more common capital nondiscretionary inputs (runways, boarding gates and apron). These novel inputs are a way of considering the effects of the air transport market on airports' performance and growth prospects. In particular, a model to estimate the growth in passenger numbers, aircraft movements and cargo that can be achieved by an airport through increasing its number of airlines and routes, and assuming an efficient operation, is presented. Also, a multi-objective DEA model is proposed to explore the possible trade-offs in the output Pareto efficient frontier of a given airport. In addition, a second stage fractional regression model specific for explaining DEA efficiency scores is conducted and the results suggest that ownership structure and hub airport status are significant factors for explaining variations in the operational efficiency of European SMA. § Corresponding author.

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Section: Regression Analysiscontrasting

confidence: 99%

Efficiency assessment and output maximization possibilities of European small and medium sized airports

Gutiérrez

Lozano

2016

Research in Transportation Economics

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“…A previous analysis covering 2000 to 2003 by Curi et al (2010) obtained contrasting results. The new empirical evidences can be related by the choice of a longer reference period and by the private-capital movements from less remunerative airport management companies toward more remunerative ones that occurred in the last years of the analysis.…”

Section: Methodsmentioning

confidence: 76%

Two faces of airport business: A non-parametric analysis of the Italian airport industry

Gitto

Mancuso

2012

Journal of Air Transport Management

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“…Among the most impactful papers, we recall those by Martín andRoman (2001, 2007) [46,47], Barros andDieke (2007, 2008) [27,48] [52]. A previous paper by Curi et al (2010) [50] has measured the efficiency of 18 Italian airports during the period 2000-2004, separating the efficiency related to ability to manage airside activities (operational) from that related to the management of all business activities (financial). They have found that airport dimension does not allow for operational efficiency advantage, rather it allows for financial efficiency advantage of hubs and financial efficiency disadvantages of smallest airports.…”

Section: Dea Studies In the Air Transportmentioning

confidence: 99%

Measuring and Explaining Airport Efficiency and Sustainability: Evidence from Italy

2018

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Abstract:From an environmental point of view, it is widely recognized in economic literature that an efficient management of regional airports produces positive effects both for congestion reduction in the larger airports and for better use of existing infrastructures. Regional airports generally suffer from economic vulnerabilities because of scarcity of traffic volume; besides, their small catchment areas often determine low cash flow levels. As a result, significant problems of economic sustainability arise. In this context, airport infrastructure providers have the incentive to hide failures in their strategic decisions, justifying the low share of cost recovery through market characteristics. By means of the DEA (Data Envelopment Analysis) method this paper analyses overall technical, pure technical, and scale efficiency of 34 Italian airports in the period 2006-2016 in order to investigate how a number of factors impact on the efficiency and economic sustainability of regional airports. Our findings reveal that airport size, presence of low-cost carriers and cargo traffic have a significant influence on the technical and scale efficiency of Italian airports. In other words, air transport privatization and deregulation can positively affect regional airport efficiency and sustainability. This is to say that the market mechanism is a useful tool in achieving regional airport sustainability even if the empirical analysis of the effects of privatization and deregulation is recommended for evaluating such political programs.

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The Italian airport industry in transition: a performance analysis

Cited by 72 publications

References 5 publications

Efficiency assessment and output maximization possibilities of European small and medium sized airports

Efficiency assessment and output maximization possibilities of European small and medium sized airports

Two faces of airport business: A non-parametric analysis of the Italian airport industry

Measuring and Explaining Airport Efficiency and Sustainability: Evidence from Italy

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