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Efficiency measurement of selected Australian and other international ports using data envelopment analysis
Institution:1. Liverpool Logistics Offshore and Marine Research Institute (LOOM), Liverpool John Moores University, United Kingdom;2. Transportation Management College, Dalian Maritime University, Dalian, China;3. Transport Institute, Asper School of Business, University of Manitoba, Winnipeg, MB, Canada;4. China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai, China;5. Maritime Institute, Faculty of Law, Ghent University, Ghent, Belgium;6. Faculty of Applied Economics, University of Antwerp, Antwerp, Belgium;7. Antwerp Maritime Academy, Antwerp, Belgium;8. Department of Supply Chain Management, Asper School of Business, University of Manitoba, Winnipeg, MB, Canada;9. Ministry of Oceans and Fisheries (MOF), Republic of Korea;1. Center for Studies in Logistics, Infrastructure and Management, COPPEAD Graduate Business School, Federal University of Rio de Janeiro, Brazil;2. Instituto Superior de Economia e Gestão, University of Lisbon, Rua Miguel Lupi, 20, 1249-078 Lisbon, Portugal;1. Graduate School of Logistics, Incheon National University, Incheon 406-772, South Korea;2. Division of Infrastructure Systems and Maritime Studies, Nanyang Technological University, Singapore, Singapore;1. Department of Transport and Planning, Faculty of Civil Engineering and Geosciences, Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands;2. Department of Human Geography and Planning, Faculty of Geosciences, Utrecht University, Heidelberglaan 2, 3508 TC Utrecht, The Netherlands;1. Inter-American Development Bank, Infrastructure and Environment Sector, 1300 New York Ave. NW, Washington, DC, United States;2. Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 1-235, Cambridge, MA 02139, United States;3. University of Las Palmas de Gran Canaria, Campus de Tafira, Las Palmas de Gran Canaria, Spain
Abstract:Available studies have not provided a satisfactory answer to the problem of making international comparisons of port efficiency. This study applies data envelopment analysis (DEA) to provide an efficiency measurement for four Australian and twelve other international container ports. While DEA has been applied to a wide number of different situations where efficiency comparisons are required, this technique has not previously been applied to ports. The DEA technique is useful in resolving the measurement of port efficiency because the calculations are non-parametric, can handle more than one output and do not require an explicit a priori determination of relationships between output and inputs, as is required for conventional estimation of efficiency using production functions. The ports of Melbourne, Rotterdam, Yokohama and Osaka are found to be the most inefficient ports in the sample, based on constant and variable returns to scale assumptions, mainly due to the enormous slack in their container berths, terminal area and labor inputs. The study also draws some policy implications for ports and recommends certain areas for future research.
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