| dc.description.abstract | In recent years, China’’s economic rapid growth, led the development of ports in China and also affected the competitiveness of ports in Asia-Pacific region. Not only highly competitive in Asia-Pacific region, Europe, North America and other regions also have important ports to attract each other’s supply and container carriers. So the highly efficiency of port operations, will let the container carriers and shipper to access of the popular and will have competitive advantage with other ports.
It’s very hard to collect some data of the Europe, North America and other regions, so this research used Grey Relation Analysis to eliminate the effect of the incomplete information first, then evaluated the performance of ports by Data Envelopment Analysis, and the results showed that there were many efficient DMU, making the rank distinguish ability to be low, so the final used expert mode, multi-objective programming model and coefficients-modified model to constraint multiplier, and then evaluated the performance again.
The result of Gray Relational efficiency compare to original efficiency showed that the Gray Relational efficiency value was closed to the actual outcome, and the result of expert mode showed that the rank of efficiency was also closed to the rank of actual ports, saying that the highly efficient port will have a higher ranking; multi-objective programming can effectively, objectively and impartially distinguish the rank of efficiency; coefficients-modified model used “technical efficiency” and “scale analysis” to know most ports were increase returns to scale, it meant the port development must be sustained in order to maintain competitiveness. In the three modes, Kaohsiung’s efficiency values of the three years are gradually reduced, but still very close to the frontier, and it can be an efficient DMU after some adjustments
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