Econometric analysis of technical efficiency of global container operators

Xinyu Sun; Jia Yan; John J. Liu

Econometric analysis of technical efficiency of global container operators

Xinyu Sun
, Jia Yan
, John J. Liu

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

6 Citations (Scopus)

Abstract

We compile a panel data of 83 global container terminal operators from 1997 to 2005 to study the efficiency of container port production. The empirical stochastic production frontier model developed in this paper separates the technology heterogeneity with the inefficiency, and allows for both the technology and inefficiency to vary across time. The empirical model is estimated by using the Markov Chain Monte Carlo (MCMC) simulation under the Bayesian framework. Our results indicate the substantial difference in operators' efficiency levels, and the terminal operators on average could increase output by up to 10%-15% by using the available technology in the most efficient way.

Original language	English
Title of host publication	Proceedings of the 11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation
Pages	667-676
Publication status	Published - 2006
Externally published	Yes
Event	11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation - Kowloon, Hong Kong, China Duration: 9 Dec 2006 → 11 Dec 2006

Conference

Conference	11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation
Place	Hong Kong, China
City	Kowloon
Period	9/12/06 → 11/12/06

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@inproceedings{6647b0b963d14cd6a6797b39ceb1035e,

title = "Econometric analysis of technical efficiency of global container operators",

abstract = "We compile a panel data of 83 global container terminal operators from 1997 to 2005 to study the efficiency of container port production. The empirical stochastic production frontier model developed in this paper separates the technology heterogeneity with the inefficiency, and allows for both the technology and inefficiency to vary across time. The empirical model is estimated by using the Markov Chain Monte Carlo (MCMC) simulation under the Bayesian framework. Our results indicate the substantial difference in operators' efficiency levels, and the terminal operators on average could increase output by up to 10\%-15\% by using the available technology in the most efficient way.",

author = "Xinyu Sun and Jia Yan and Liu, \{John J.\}",

year = "2006",

language = "English",

isbn = "9889884704",

pages = "667--676",

booktitle = "Proceedings of the 11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation",

note = "11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation ; Conference date: 09-12-2006 Through 11-12-2006",

}

Sun, X, Yan, J & Liu, JJ 2006, Econometric analysis of technical efficiency of global container operators. in Proceedings of the 11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation. pp. 667-676, 11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation, Kowloon, Hong Kong, China, 9/12/06.

Econometric analysis of technical efficiency of global container operators. / Sun, Xinyu; Yan, Jia; Liu, John J.
Proceedings of the 11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation. 2006. p. 667-676.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Econometric analysis of technical efficiency of global container operators

AU - Sun, Xinyu

AU - Yan, Jia

AU - Liu, John J.

PY - 2006

Y1 - 2006

N2 - We compile a panel data of 83 global container terminal operators from 1997 to 2005 to study the efficiency of container port production. The empirical stochastic production frontier model developed in this paper separates the technology heterogeneity with the inefficiency, and allows for both the technology and inefficiency to vary across time. The empirical model is estimated by using the Markov Chain Monte Carlo (MCMC) simulation under the Bayesian framework. Our results indicate the substantial difference in operators' efficiency levels, and the terminal operators on average could increase output by up to 10%-15% by using the available technology in the most efficient way.

AB - We compile a panel data of 83 global container terminal operators from 1997 to 2005 to study the efficiency of container port production. The empirical stochastic production frontier model developed in this paper separates the technology heterogeneity with the inefficiency, and allows for both the technology and inefficiency to vary across time. The empirical model is estimated by using the Markov Chain Monte Carlo (MCMC) simulation under the Bayesian framework. Our results indicate the substantial difference in operators' efficiency levels, and the terminal operators on average could increase output by up to 10%-15% by using the available technology in the most efficient way.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84894561431&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9889884704

SN - 9789889884703

SP - 667

EP - 676

BT - Proceedings of the 11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation

T2 - 11th International Conference of Hong Kong Society for Transportation Studies: Sustainable Transportation

Y2 - 9 December 2006 through 11 December 2006

ER -

Econometric analysis of technical efficiency of global container operators

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