Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/4737
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building and Real Estate-
dc.contributorDepartment of Logistics and Maritime Studies-
dc.creatorHui, CME-
dc.creatorNg, MH-
dc.creatorXu, JJ-
dc.creatorYip, TL-
dc.date.accessioned2014-12-11T08:22:51Z-
dc.date.available2014-12-11T08:22:51Z-
dc.identifier.issn1812-8602-
dc.identifier.urihttp://hdl.handle.net/10397/4737-
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.rights© 2010 Hong Kong Society for Transportation Studies Limited. This is an electronic version of an article published in Hui, E. C., Ng, M. H., Xu, J. J., & Yip, T. L. (2010). The cargo throughput response to factor cost differentials - an analysis for the port of Hong Kong. Transportmetrica, 6(4), 235-248. Transportmetrica is available online at: www.tandfonline.com, the open URL of the article: http://dx.doi.org/ 10.1080/18128600903194427.en_US
dc.subjectHong Kongen_US
dc.subjectPorten_US
dc.subjectCargo transportationen_US
dc.subjectTerminal handling chargesen_US
dc.subjectReal estate priceen_US
dc.subjectError correction modelen_US
dc.titleThe cargo throughput response to factor cost differentials – an analysis for the port of Hong Kongen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: Tsz Leung Yipen_US
dc.identifier.spage235-
dc.identifier.epage248-
dc.identifier.volume6-
dc.identifier.issue4-
dc.identifier.doi10.1080/18128600903194427-
dcterms.abstractPrevious studies on port cargo throughput have been simplified. The regression models are mainly based on the autoregressive time series, in which the port throughput is regressed against the lagged value from the preceding time period. Most factors are assumed exogenous to port throughput. This approach is based on the premise that ports are oligopoly markets and many factors (e.g. port charges) are not available for inclusion in research. The main objective of this study is to include the costs of using the port in the regression model so as to reflect real commercial decision. Due to port costs generally not being available, the real estate prices and other factors are chosen as proxy variables to indicate indirectly the costs and benefits of using the port under study.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportmetrica, Oct. 2010, v. 6, no. 4, p. 235-248-
dcterms.isPartOfTransportmetrica-
dcterms.issued2010-10-
dc.identifier.isiWOS:000280774900001-
dc.identifier.scopus2-s2.0-77955865794-
dc.identifier.eissn1944-0987-
dc.identifier.rosgroupidr55576-
dc.description.ros2010-2011 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
2010 Transportmetrica (Hui Ng Xu Yip) - A Forecast for the Port of Hong Kong 2009 07 13.pdfPre-published version270.3 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

156
Last Week
0
Last month
Citations as of Mar 24, 2024

Downloads

243
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

12
Last Week
1
Last month
0
Citations as of Mar 28, 2024

WEB OF SCIENCETM
Citations

11
Last Week
0
Last month
0
Citations as of Mar 28, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.