An Efficiency Assessment of Selected German Airports Using the DEA Model
Eva Stichhauerova, Natalie Pelloneova
data envelopment analysis (DEA), airports, technical efficiency, scale efficiency
The operation of air transport is one of the most significant factors in promoting economic
growth and competitiveness within any given region. The present paper deals with an assessment
of the performance of Germany’s 27 most important airports in terms of their technical efficiency.
For this purpose, the authors employed the method of Data Envelopment Analysis. The
first part of the paper focuses on a literature review on the use of the DEA method in assessing
the performance of airports and air transport. For this DEA a list has been compiled of inputs
and outputs that have been used by international authors in their publications to assess airport
performance. The second part of the paper describes the methodology of the actual research.
The 2016 annual reports from various airports served as the main source of data. The number
of employees, number of runways and airport area were selected as inputs. As the outputs, two
variables were chosen: number of aircraft movements and the amount of cargo. By applying
input-oriented DEA, CCR and BCC models, 13 German airports have been identified that are
able to efficiently transform the given inputs into outputs, as they employ the best practices and
appropriate processes in their operations management. Five airports can also be described as
facilities that have achieved the optimal and most productive size.
An Efficiency Assessment of Selected German Airports Using the DEA Model [PDF file] [Filesize: 478.14 KB]
Stichhauerova, E., Pelloneova, N. (2019). An Efficiency Assessment of Selected German Airports Using
the DEA Model. Journal of Competitiveness, 11(1), 135–151. https://doi.org/10.7441/joc.2019.01.09