Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90705
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorBai, Xen_US
dc.creatorHou, Yen_US
dc.creatorYang, Den_US
dc.date.accessioned2021-08-20T02:04:35Z-
dc.date.available2021-08-20T02:04:35Z-
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://hdl.handle.net/10397/90705-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2021 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.en_US
dc.rightsThe following publication Bai, X., Hou, Y., & Yang, D. (2021). Choose clean energy or green technology? Empirical evidence from global ships. Transportation Research Part E: Logistics and Transportation Review, 151, 102364 is available at https://dx.doi.org/10.1016/j.tre.2021.102364.en_US
dc.subjectAIS dataen_US
dc.subjectEnergy choiceen_US
dc.subjectIMO emissions regulationen_US
dc.subjectPolicy formulationen_US
dc.subjectShip behaviouren_US
dc.titleChoose clean energy or green technology? Empirical evidence from global shipsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume151en_US
dc.identifier.doi10.1016/j.tre.2021.102364en_US
dcterms.abstractOn January 1st, 2020, the International Maritime Organization (IMO) implemented a new regulation for a 0.50% global sulphur cap for marine fuels, which was a dramatic decrease from the previous emissions cap of 3.5%. The new regulation will have an enormous impact on the shipping market. At present, there are different feasible schemes for reducing sulphur emissions from ships. Shipowners need to consider the economic cost, energy feasibility, and other relevant factors of different schemes before making decisions. This paper empirically explores the factors that affect shipowners' energy choices. Based on the new emerging individual ship dynamic data, Automatic Identification System (AIS), and other relevant databases, we apply various data mining methods and a threshold discrete choice model combined with an oversampling technique to conduct quantitative measurements and statistical analyses of factors for each ship type that affect the shipowners' choices. Three groups of indicators, including ship characteristics, shipowner characteristics, and market conditions, are considered in our analysis. In the model, we also address the heterogeneity of the carriers towards environmental awareness. This study provides important practical implications for responding to the new emissions regulations among maritime and maritime-related industries and policymakers.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransportation research. Part E, Logistics and transportation review, July 2021, v. 151, 102364en_US
dcterms.isPartOfTransportation research. Part E, Logistics and transportation reviewen_US
dcterms.issued2021-07-
dc.identifier.scopus2-s2.0-85107958873-
dc.identifier.eissn1878-5794en_US
dc.identifier.artn102364en_US
dc.description.validate202106 bcvcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera1011-n06-
dc.identifier.SubFormID2430-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextRGC: NSFC/RGC Joint Research Scheme under Grant numbers N_PolyU531/16 and 71661167009en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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