The impact of competition on container port (in)efficiency

被引:103
作者
De Oliveira, Gabriel Figueiredo [1 ]
Cariou, Pierre [2 ]
机构
[1] Univ Toulon & Var, LEAD, F-83000 Toulon, France
[2] Kedge Business Sch, F-33405 Talence, France
关键词
Port; Competition; Efficiency; Bootstrapped regression; DEA; NONPARAMETRIC FRONTIER ESTIMATION; EFFICIENCY; 2-STAGE; INFRASTRUCTURE; PERFORMANCE; MODEL;
D O I
10.1016/j.tra.2015.04.034
中图分类号
F [经济];
学科分类号
02 ;
摘要
There are many studies on container port efficiency and that seek to understand what factors, such as technical and scale efficiency, private versus public terminal management or macro-economic factors, play on the efficiency score of a given port. There are fewer studies that focus on the role played by the inter-port competitive environment. This role remains difficult to assess. In fact, on the one hand, a port subject to high inter-port competition may record higher efficiency scores due to the pressure from the competitive environment. On the other hand, a port subject to high competition may be forced to over-invest and could therefore records a lower efficiency score. This article investigates this issue and examines how the degree of competition measured at different levels (local, regional and global level) impacts the efficiency score of a given container port. To do so, we implement a truncated regression with a parametric bootstrapping model. The model applied to information gathered for 200 container ports in 2007 and 2010 leads to the following conclusions: port efficiency decreases with competition intensity when measured in a range of 400-800 km (regional level); and the effect from competition is not significant when competition is measured at a local (less than 300 km) or at a global (more than 800 km) level. Estimates also show a tendency for ports who invested from 2007 to 2010 to experience a general decrease in efficiency scores, an element which could be explained by the time lag between the investment and the subsequent potential increase in container throughput. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:124 / 133
页数:10
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