Evolution of global container operator efficiency: A DEA approach

Tsz Leung Yip, Xinyu Sun, John J. Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-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 languageEnglish
Title of host publicationSCMIS 2010 - Proceedings of 2010 8th International Conference on Supply Chain Management and Information Systems
Subtitle of host publicationLogistics Systems and Engineering
Publication statusPublished - 1 Dec 2010
Event2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, SCMIS 2010 - Hong Kong, Hong Kong
Duration: 6 Oct 20108 Oct 2010

Conference

Conference2010 8th International Conference on Supply Chain Management and Information Systems: Logistics Systems and Engineering, SCMIS 2010
Country/TerritoryHong Kong
CityHong Kong
Period6/10/108/10/10

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

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