A Joint Project of: University of Applied Sciences Bremen Berlin School of Economics (FHW) Int. University of Applied Sciences Bad Honnef Supported by

A Joint Project of:

University of Applied Sciences Bremen

Berlin School of Economics (FHW)

Int. University of Applied Sciences Bad Honnef

Supported by

Efficiency Measurement of German Airports in an International Comparison

GERMAN AIRPORT PERFORMANCE

UAS Bremen ● Berlin School of Economics ● IUAS Bad Honnef 2

Outline

1. Introduction

2. Benchmarking of German Airports

3. GAP

4. Scientific Partners

5. Contact


The Research Project

Participants: Joint Research Project of the Universities of Applied Sciences in Bad Honnef, Berlin and Bremen

Funding and Duration: Funded by the Federal Ministry of Education and Research from 2005 to 2008

Topic: Benchmarking Study to investigate the Economic Performance of German Airports

Purpose: Results of the study are for Internal Use (and participating airports) rather than for Commercial Purposes

1. Introduction


Why German Airports?

Changing Institutional StructureFrom Public Utilities to partially Privatized AirportsNew Strategies & Organizational StructuresIncentive versus Low Powered Cost-Plus

Regulation Increasing Competition

Bad Performance of German Airports in ATRS and

TRL Studies



ATRS versus TRL I

Labor ProductivityATL

YVC

MAD

AENA

Source: ATRS 2003, TRL 2003



ATRS versus TRL III

ATRS 2000 TRL 2000ARN 26.352 26.241 ARNOSL 22.955 23.531 AMSZRH 22.249 22.627 ZRHAMS 20.270 22.447 OSLLGW 17.814 19.066 LHRLHR 17.002 18.092 LGWGVA 16.008 18.032 MUCCPH 12.617 17.979 GVAMAN 7.067 14.632 VIEMUC 5.714 13.174 CPHVIE 4.879 10.692 MANFRA 3.459 8.050 FRA

Labor Productivity – Ranking Differences

Source: ATRS 2003

TRL 2002

Difference (%)

MUC 215,6%

VIE 199,9%

FRA 132,7%

MAN 51,3%

∅total 54,8%

∅Ground H. 119,8%

∅w/o GH 6,57%



ATRS versus TRL II

0

2.000

4.000

6.000

8.000

10.000

12.000

14.000

16.000

18.000

20.000

MUC (TRL 99/00) CGN (ATRS 01/03) HAM (ATRS 01/03)

Change in Labor Productivity

Source: ATRS 2003, 2005 TRL 2001, 2002



ATRS TRLContinental Comparison Worldwide Comparison

Partial and Total Factor Productivity

Partial Performance Indicators

No Data Adjustment but Measurement of Residual Factor Productivity by Multiple Regressions

Data Adjustment by Identification of Core Activities

Methods of ATRS and TRL



Method of GAP

Data Collection Data Adjustment

Partial Processes (disaggregated data)

Total Productivity(aggregated)

Efficiency Analysis(technical, allocative)

Cluster Analyses Sensitivity Analyses Cause Analyses

Productivity and Efficiency Measurement

Further Analyses

3. GAP


Low Degree of Outsourcing

Diseconomies of Scale for large Airports

Economies of Scope

Product Differentiation and Strategies

Vertical Integration

Cause Analyses

3. GAP


Questions addressed I

3. GAP

GAP

Factorsthat can influence

the AirportsPerformance

ResourceAllocation

Benchmarkingas Management-

Tool

Comparison withother Industries


Questions addressed II

3. GAP

Factorsthat can influence

the AirportsPerformance

Competition

Other external Factors

Liberalizationof the Airline

Industry

EnvironmentalInfluences

ManagementStrategies

Ownership

EconomicRegulation


Benefits for Airports

In Depth Study on the Causes of Performance Differences

Learn Strength and Weaknesses of Performance Measurement Methods

Customized Benchmarks of Partial Processes with Disaggregated Data

Discussion with Leading Experts in Benchmarking and Airport Management

Identify and adapt Best Practices Objective Information on the Effects of

Privatization, Regulation and Environment

3. GAP


Cooperation with Airports

Working Group of Participating Airports to discuss Validity of Data, Methods, Results and Differences in Performance

Benchmarking of Partial Processes demanded by Participating Airports

Participation in Workshop Series on Benchmarking of the German Aviation Research Society (GARS)

3. GAP


Work Steps

Start 01.06.2005Airport SelectionIntensive Field Work at the Airports

and Data Collection (at airports, association, etc.)

Data AdjustmentsAnalysis and Interpretation

End 29.02.2008 (option of extension)

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3. GAP


International Partners

YVR, University of British Columbia: Prof. David Gillen und

Prof. Tae Oum

LON, Transport Research Laboratory: Peter Mackenzie-Williams

LON, University of Westminster: Dr. Anne Graham

MEL, Monash University: Prof. Peter Forsyth

AMS, University of Amsterdam: Prof. Jaap de Wit

CGN, RWTH Aachen + DLR: Prof. Johannes Reichmuth

KEL, IfW an der Universität Kiel: Dr. Hartmut Wolf

BER/DRS, TU Dresden + DIW: Prof. Christian von Hirschhausen

4. Scientific Partner


For Further Questions…

Hochschule BremenProf. Dr. Hans-Martin Niemeier (Coordinator)Werderstr.73D-28199 Bremen Tel.: +49 (0)40 811 93 [email protected] Fax: +49 (0)421 5905-4815

Fachhochschule für Wirtschaft BerlinProf. Dr. Jürgen MüllerBadensche Str. 50-51D-10825 Berlin Tel.: +49 (0)30 857 [email protected] Fax: +49 (0)30 857 89-199

Internationale Fachhochschule Bad HonnefProf. Dr. Hansjochen EhmerMülheimer Str. 38D-53604 Bad Honnef Tel.: +49 (0)2203 601-21 [email protected] Fax: +49 (0)2203 601-23 77

5. Contact


…or

Hochschule BremenDiplom-Volksw. (FH) Vanessa KampWerderstr.73D-28199 Bremen Tel.: +49 (0)421 5905-

[email protected] Fax: +49 (0)421 5905-

4599

Website: www.gap-projekt.de

5. Contact


Thank you very muchfor your

attention!

Documents

A Joint Project of: University of Applied Sciences Bremen Berlin School of Economics (FHW) Int. University of Applied Sciences Bad Honnef Supported by