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机构地区:[1]School of Civil and Hydraulic Engineering, Dalian University of Technology
出 处:《Journal of Shanghai Jiaotong university(Science)》2009年第4期490-496,共7页上海交通大学学报(英文版)
基 金:the National Natural Science Foundation of China (No. 50578030)
摘 要:To investigate the long-term operating efficiencies of container ports, we extend the work of previous researches to present a new systemic and improved method of data envelopment analysis (DEA)-based Malmquist productivity index (MPI) in this paper. An approach based on both panel data and multi-inputs/outputs is considered comprehensively, and aims at measuring the operating efficiencies of 10 leading container ports in China from 2001 to 2006 by applying this new systematic influence factor of total factor productivity change is the calculation method. The results illustrate that the main technology change, and the container transportation of these 10 ports is on the healthy development status and will recover and grow reposefully in the following yearsTo investigate the long-term operating efficiencies of container ports, we extend the work of previous researches to present a new systemic and improved method of data envelopment analysis (DEA)-based Malmquist productivity index (MPI) in this paper. An approach based on both panel data and multi-inputs/outputs is considered comprehensively, and aims at measuring the operating efficiencies of 10 leading container ports in China from 2001 to 2006 by applying this new systematic calculation method. The results illustrate that the main influence factor of total factor productivity change is the technology change, and the container transportation of these 10 ports is on the healthy development status and will recover and grow reposefully in the following years.
关 键 词:port operating efficiency Malmquist productivity index (MPI) data envelopment analysis (DEA)
分 类 号:F123.7[经济管理—世界经济] U691[交通运输工程—港口、海岸及近海工程]
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