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Globalization and transport revolution, logistics integration, and the consequent expansion of port area and hinterland in the maritime industry have redefined the functional role of ports in supply chains and have generated a new pattern of freight distribution. This phenomenon again requires a new approach towards port development and related urban planning. Such changes have inevitably influenced the spatial structure of hub port cities.As existing models on spatial and functional evolution of ports and cities are mainly derived from European and American cases, this paper attempts to introduce evidence from an Asian perspective, focusing on the particular case of global hub port cities such as Hong Kong and Singapore.

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There have been various analyses of the efficiency of container port (or terminal) production using Data Envelopment Analysis (DEA) based on cross-sectional data. When time is not considered, the efficiency results derived using this approach can be biased. In order to overcome this problem, this paper applies DEA windows analysis, utilising panel data, to a sample of the world's major container ports in order to deduce their relative efficiency. The results suggest that estimates of container port efficiency fluctuate over time. The paper concludes that existing programming methods for estimating efficiency are inadequate in capturing the long-term increased efficiency and competitiveness that accrue from significant investments.

No abstract