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Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4738

Title: Group and individual heterogeneity in a stochastic frontier model: container terminal operators
Authors: Yip, T. L.
Sun, Xinyu
Liu, John J.
Subjects: Stochastic processes
Stochastic production frontier
Markov processes
Container terminal operators
Port globalisation
Group-specific
Issue Date: 16-Sep-2011
Publisher: Elsevier B.V.
Citation: European journal of operational research, 16 Sept. 2011, v. 213, no. 3, p. 517-525.
Abstract: Container ports are a major component of international trade and the global supply chain. Hence, the improvement of port efficiency can have a significant impact on the wider maritime economy. This paper deconstructs a representation in the existing literature that neglects the heterogeneity of individual and group-specific terminal operators. In its place, we present a hierarchical model to make a connection between efficiency and terminal operator group characteristics. The paper develops a stochastic frontier model that controls not only individual heterogeneity but also group-specific variations. The model decomposes the total stochastic derivation from the frontier into inefficiency, individual heterogeneity, group-specific variations, and noise components, with the estimation being performed using Markov chain Monte Carlo simulations. The validity of the model is tested with a panel of container terminal operator data from 1997–2004. Our findings show that terminal operator groups are important in promoting terminal efficiency at the global level, and that the operators with stevedore backgrounds show a higher efficiency than carriers.
Description: DOI: 10.1016/j.ejor.2011.03.040
Rights: European Journal of Operational Research © 2011 Elsevier B.V. The journal web site is located at http://www.sciencedirect.com.
Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/4738
ISSN: 0377-2217
Appears in Collections:LMS Journal/Magazine Articles

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