Evolution of global container operator efficiency: A DEA approach

Tsz Leung Yip; Xinyu Sun; John J. Liu

Evolution of global container operator efficiency: A DEA approach

Tsz Leung Yip, Xinyu Sun, John J. Liu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

Improving port efficiency can therefore have a significant impact on the whole maritime economy. Recognizing this fact, many governments have consistently prioritized the ports as a central element of infrastructure to promote regional economic growth. This paper treats container terminal operators as the Decision Making Unit, which represents a divergence from previous port efficiency studies. We compile a panel data of 141 global container terminal operators from 1997 to 2005 to study the efficiency of container operator production. We use the Data Envelopment Analysis (DEA) to compute efficiency scores. We add country and port characteristics into our model except output/input. We examine the contribution of productivity to operator output based on the long time series. The efficiencies of different operators in same port are showed to investigate the core sources of productivity growth.

Original language	English
Title of host publication	SCMIS 2010 - Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems
Subtitle of host publication	Logistics Systems and Engineering
Publication status	Published - 1 Dec 2010
Event	2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, SCMIS 2010 - Hong Kong, Hong Kong Duration: 6 Oct 2010 → 8 Oct 2010

Conference

Conference	2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, SCMIS 2010
Country/Territory	Hong Kong
City	Hong Kong
Period	6/10/10 → 8/10/10

Keywords

Container terminal operators
Data envelopment analysis
Frontier efficiency model
Port globalization

ASJC Scopus subject areas

Management Information Systems
Information Systems
Information Systems and Management

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

http://hdl.handle.net/10397/4729

Cite this

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title = "Evolution of global container operator efficiency: A DEA approach",

abstract = "Improving port efficiency can therefore have a significant impact on the whole maritime economy. Recognizing this fact, many governments have consistently prioritized the ports as a central element of infrastructure to promote regional economic growth. This paper treats container terminal operators as the Decision Making Unit, which represents a divergence from previous port efficiency studies. We compile a panel data of 141 global container terminal operators from 1997 to 2005 to study the efficiency of container operator production. We use the Data Envelopment Analysis (DEA) to compute efficiency scores. We add country and port characteristics into our model except output/input. We examine the contribution of productivity to operator output based on the long time series. The efficiencies of different operators in same port are showed to investigate the core sources of productivity growth.",

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Yip, TL, Sun, X & Liu, JJ 2010, Evolution of global container operator efficiency: A DEA approach. in SCMIS 2010 - Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering., 5681745, 2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, SCMIS 2010, Hong Kong, Hong Kong, 6/10/10. <http://hdl.handle.net/10397/4729>

Evolution of global container operator efficiency: A DEA approach. / Yip, Tsz Leung; Sun, Xinyu; Liu, John J.
SCMIS 2010 - Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering. 2010. 5681745.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

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AU - Sun, Xinyu

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PY - 2010/12/1

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N2 - Improving port efficiency can therefore have a significant impact on the whole maritime economy. Recognizing this fact, many governments have consistently prioritized the ports as a central element of infrastructure to promote regional economic growth. This paper treats container terminal operators as the Decision Making Unit, which represents a divergence from previous port efficiency studies. We compile a panel data of 141 global container terminal operators from 1997 to 2005 to study the efficiency of container operator production. We use the Data Envelopment Analysis (DEA) to compute efficiency scores. We add country and port characteristics into our model except output/input. We examine the contribution of productivity to operator output based on the long time series. The efficiencies of different operators in same port are showed to investigate the core sources of productivity growth.

AB - Improving port efficiency can therefore have a significant impact on the whole maritime economy. Recognizing this fact, many governments have consistently prioritized the ports as a central element of infrastructure to promote regional economic growth. This paper treats container terminal operators as the Decision Making Unit, which represents a divergence from previous port efficiency studies. We compile a panel data of 141 global container terminal operators from 1997 to 2005 to study the efficiency of container operator production. We use the Data Envelopment Analysis (DEA) to compute efficiency scores. We add country and port characteristics into our model except output/input. We examine the contribution of productivity to operator output based on the long time series. The efficiencies of different operators in same port are showed to investigate the core sources of productivity growth.

KW - Container terminal operators

KW - Data envelopment analysis

KW - Frontier efficiency model

KW - Port globalization

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M3 - Conference article published in proceeding or book

SN - 9789623676960

BT - SCMIS 2010 - Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems

T2 - 2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, SCMIS 2010

Y2 - 6 October 2010 through 8 October 2010

ER -

Evolution of global container operator efficiency: A DEA approach

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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