Airline market structure and airport efficiency: Evidence from major Northeast Asian airports

Ha, Hun Koo; Wan, Yulai; Yoshida, Yuichiro; Zhang, Anming

doi:10.1016/j.jairtraman.2013.06.008

Cited by 59 publications

(30 citation statements)

References 28 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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“…Assaf (2009) shows that large airports are generally more technically efficient and have less operational wastage than small airports, and that location could contribute to the efficiency differences. In this direction, Ha et al (2013) show that the hinterland per capita gross domestic product and the hinterland population are positively correlated with the efficiency scores, indicating that the hinterland with strong air travel demand may help bring up the corresponding airport efficiency, which is also consistent with the result of Chang et al (2013).…”

Section: Discussionsupporting

confidence: 68%

Competition and efficiency in the Italian airport system: new insights from a conditional nonparametric frontier analysis

D’Alfonso

Daraio

Nastasi

2015

Transportation Research Part E: Logistics and Transportation Re

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“…The CCL data were collected from 2002 to 2014, the RCL data were from 1997 to 2014, and NCL data were from 2003 to 2014. All 44 observations were pooled into the analysis (Asmild, Paradi, Aggarwall, & Schaffnit, 2004;Ha, Wan, Yoshida, & Zhang, 2013;Merkert & Hensher, 2011). All monetary values were standardized to the value in 2009 using the GDP deflator.…”

Section: Datamentioning

confidence: 99%

Efficiency analysis of major cruise lines

2017

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h i g h l i g h t sThis study measured the efficiency of the top three cruise lines Network DEA and bootstrapped-truncated regression were used They were efficient at the operating stage, but varied at the non-operating stage Cruise lines attempting high capacity expansion were relatively inefficient Neglected hedging policy over financial risks also contributed to the inefficiency a b s t r a c t Three major cruise lines account for 82% of the total market share. Their financial statements show different results between the operating incomes and net incomes over time. To examine the major causes of the differences, this study measured the efficiency of the top three cruise lines to develop a network DEA model to analyze the cruise operations at two stages, namely operating and non-operating stages. In addition, the determinants of the efficiencies were examined using a bootstrapped-truncated regression model. Overall, cruise lines were efficient at the operating stage, but varied widely in the efficiency of the non-operating stage. Cruise lines attempting high capacity expansion were relatively inefficient because of the heavy interest payments arising from the high debt-to-capital ratio. Moreover, the neglected hedging policy regarding the financial risks also contributed to the inefficiency.

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Airline market structure and airport efficiency: Evidence from major Northeast Asian airports

Cited by 59 publications

References 28 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

Competition and efficiency in the Italian airport system: new insights from a conditional nonparametric frontier analysis

Efficiency analysis of major cruise lines

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