Efficiency and productivity changes in Greek airports during the crisis years 2010–2014

Abstract

The aim of this study is to evaluate the operating efficiency and productivity changes of the Greek airports, during the first years of the severe economic crisis in Greece (2010-2014), by using two methods: Data Envelopment Analysis (DEA) and Malmquist Productivity index (MPI). Findings have shown that, despite the dramatic effects of the economic crisis on the socioeconomic life of the country, overall airport efficiency and productivity improved, mainly due to exogenous factors such as international tourism growth. The MPI reveals that over the period of the study, airports have experienced an annual average increase in total factor productivity (TFP) of 0.9% (an increase of 3.6% over the examined period). On examining the components of this productivity change, it becomes evident that this is due to the combination of both positive (a slight progress) annual average technology change (0.5%) and technical efficiency change (0.4%). The results also indicate that 65.8% of airports have an increase in average TFP during the period 2010-2014, ranging between 0.4% and 20%. However, as Greek airports operate at poor levels of efficiency, there is still considerable space for improvements in most of the airports.

Analysing Airport Efficiency in East China Using a Three-Stage Data Envelopment Analysis

“…Since Gillen and Lall (1997) firstly apply a DEA to measure the performance of 21 airports in the US, the approach has been more frequently used to analyse airport efficiencies. There are examples of national studies: Gillen and Lall (1997) for the US; Yoshida and Fujimoto (2004) for Japan; Curi et al (2011) for Italy; Fragoudaki et al (2016) for Greece; Wanke and Barros (2017) for Senegal, and Fernandes and Pacheco (2018) for Brazil. In addition, comparative studies between countries exist, e.g.…”

Uluslararası Havalimanlarının Operasyonel Etkinliğinin Değerlendirilmesi: Bölgesel Bir Karşılaştırma

“…Perelman ve Serebrisky (2010) ise, Latin Amerika'da yer alan 21 havaalanının etkinliğini 1995-2007 arasındaki verileri kullanarak analiz ederken, çalışmada; personel sayısı, terminal alanı ve pist sayısını girdi olarak kullanılmakla birlikte, yolcu sayısı, kargo miktar ve uçak trafiğini ise çıktı olarak kullanılmıştır. Yunanistan'da yer alan 38 havaalanının etkinliğinin analiz edildiği çalışmada, öncelikle, VZA ve Bootstrap teknikleri kullanılarak her bir havaalanı için etkinlik skorları belirlenirken, Mann-Whitney U, Kruskal Wallis ekonometrik testleri ve Tobit regresyon modeli aracılığı ile hangi faktörlerin havaalanlarının performansında etkin olduğu ortaya konulmuştur (Fragoudaki ve Giokas, 2016).…”

The Impact of Airport Managerial Type and Airline Market Share on Airport Efficiency

“…Airports seek to improve efficiency by either minimizing input or maximizing outputs. Some of key input variables of airport industry include terminal area, number of runways, number of employees and financial costs while output variables include number of passengers, number of flights, and commercial revenue [1][2][3][4]. In the mid-1990s, efficiency evaluation, which had been widely used in several industries, was studied for applications in the airport sector and has more recently evolved into studies on airport efficiency [1,3,5].…”

“…Some of key input variables of airport industry include terminal area, number of runways, number of employees and financial costs while output variables include number of passengers, number of flights, and commercial revenue [1][2][3][4]. In the mid-1990s, efficiency evaluation, which had been widely used in several industries, was studied for applications in the airport sector and has more recently evolved into studies on airport efficiency [1,3,5]. However, the majority of research has focused on the efficiency of individual airports regardless of whether they belonged to an airport group.…”