Unit:
Κατεύθυνση Οικονομικά, Διοικητικά και Πληροφοριακά Συστήματα ΕπιχειρήσεωνLibrary of the Faculty of Economics and of the Faculty of Business Administration
Author:
Politis Dionysios
Supervisors info:
Δημήτριος Γκιώκας, Καθηγητής, Τμήμα Οικονομικών Επιστημών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Original Title:
Εκτίμηση της αποδοτικότητας ναυτιλιακών εταιρειών με χρήση της Περιβαλλουσας Ανάλυσης Δεδομένων (Data Envelopment Analysis)
Translated title:
Analyzing the efficiency of shipping companies using Data Envelopment Analysis method
Summary:
The aim of this diploma thesis is to calculate and analyze the efficiency of shipping companies using
the Data Envelopment Analysis (DEA) method. The sample consists of the top 17 shipping companies
listed on international stock exchanges which are of different size. DEA is a method of measuring relative
efficiency, involves the use of linear programming methods and presents comparative advantages over
traditional efficiency measurement methods such as financial indicators. The analysis is made for the year
2015. The developed model uses as inputs the fleet capacity and the operative expenses and as outputs the
profits before tax and the revenues from the transportation of goods. Due to the specificity of the sizes of
the companies, the model is applied for both the case of fixed economies of scale and the case of variable
economies of scale. The results include the ranking of companies based on their efficiency, the possible
existence of economies of scale and the objectives of improving the least profitable companies. From the
analysis of the “efficiency profitability matrix” it becomes evident which companies can still increase
their profit through efficiency improvement. In conclusion, the effect of economies of scale on the
profitability of shipping companies is significant and the DEA method provides a useful, effective and
reliable method for comparing the efficiency of shipping companies.
Main subject category:
Social, Political and Economic sciences
Keywords:
Data envelopment analysis, shipping companies
