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首页> 外文期刊>Transportation Research. Part A, Policy and Practice >Port privatization, efficiency and competitiveness: Some empirical evidence from container ports (terminals)
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Port privatization, efficiency and competitiveness: Some empirical evidence from container ports (terminals)

机译:港口私有化,效率和竞争力:来自集装箱港口(码头)的一些经验证据

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摘要

Few studies have investigated the quantitative relationship between port ownership structure and port efficiency with mixed results. This study applies a stochastic frontier model proposed by Battese and Coelli [Battese, G.E., Coelli, T.J., 1995. A model for technique inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics 20, 325-332], which incorporates the inefficiency effect, to show whether port privatization is a necessary strategy for ports to gain a competitive advantage. While this stochastic frontier model has been used to a wide number of industries where the technical inefficiency effect is required, this method has rarely been employed to port industry. This study also investigates the determinants of port competitiveness. Both the principal component analysis (PCA) and the linear regression model are used to examine the effects of identified key factors on port competitiveness. Based on a sample of selected container terminals around the world, the results of this study have shown that private sector participation in the port industry to some extent can improve port operation efficiency, which will in turn increase port competitiveness. Another important determinant of port competitiveness is the adaptability to the customers' demand. All these results provide some policy implications and guidance for port authorities and port operators in formulating effective strategies to improve their competitiveness vis-a-vis rivals.
机译:很少有研究调查港口所有权结构和港口效率之间的定量关系,而得出的结果却不尽相同。这项研究应用了由Battese和Coelli提出的随机前沿模型[Battese,G.E.,Coelli,T.J.,1995。一种模型效率低下的面板数据随机前沿生产函数效应模型。 [Empirical Economics 20,325-332],其中纳入了效率低下的影响,以表明港口私有化是否是港口获得竞争优势的必要策略。虽然这种随机前沿模型已被用于需要技术效率低下的众多行业,但这种方法很少用于港口行业。这项研究还调查了港口竞争力的决定因素。主成分分析(PCA)和线性回归模型均用于检验已确定的关键因素对港口竞争力的影响。基于对全球精选集装箱码头的抽样研究,研究结果表明,私营部门参与港口行业可以在一定程度上提高港口运营效率,进而提高港口竞争力。港口竞争力的另一个重要决定因素是对客户需求的适应性。所有这些结果为港口当局和港口经营者制定有效的战略以提高其相对于竞争对手的竞争力提供了一些政策含义和指导。

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