Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93938
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Logistics and Maritime Studies | en_US |
dc.creator | Fan, L | en_US |
dc.creator | Xu, Y | en_US |
dc.creator | Luo, M | en_US |
dc.creator | Yin, J | en_US |
dc.date.accessioned | 2022-08-03T08:48:54Z | - |
dc.date.available | 2022-08-03T08:48:54Z | - |
dc.identifier.issn | 0308-8839 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93938 | - |
dc.language.iso | en | en_US |
dc.publisher | Routledge, Taylor & Francis Group | en_US |
dc.rights | © 2021 Informa UK Limited, trading as Taylor & Francis Group | en_US |
dc.rights | This is an Accepted Manuscript of an article published by Taylor & Francis in Maritime Policy and Management on 07 Feb 2021 (published online), available at: http://www.tandfonline.com/10.1080/03088839.2021.1872808 | en_US |
dc.subject | EEDI | en_US |
dc.subject | EEOI | en_US |
dc.subject | MBMs (market-based measures) | en_US |
dc.subject | Shipping emission | en_US |
dc.subject | System pulse modeling | en_US |
dc.title | Modeling the interactions among green shipping policies | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 62 | en_US |
dc.identifier.epage | 77 | en_US |
dc.identifier.volume | 49 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1080/03088839.2021.1872808 | en_US |
dcterms.abstract | Many policies and practical measures have been designed for emission reduction in shipping. Many have studied their contribution to emission reduction and impacts on the shipping industry without considering their interactions. This study analyzes how a change in one policy or measure affect the others using a system pulse model. The results suggest that the factors influencing shipping emissions are inter-dependent, and the developed systematic shipping emission model fluctuates periodically. We find that slow steaming is actually not effective in emission reduction in the long-run as it impacts the implementation of other policies. It poses a high demand for the adoption of the EEDI (Energy Efficiency Design Index) policy so as to promote the application of advanced technologies in the shipbuilding process. It also suggests that although the implementation of the EEDI policy can promote the adoption of the EEOI (Energy Efficiency Operating Index) policy, the EEOI policy actually relieves the demand for the EEDI policy. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Maritime policy and management, 2022, v. 49, no. 1, p. 62-77 | en_US |
dcterms.isPartOf | Maritime policy and management | en_US |
dcterms.issued | 2022 | - |
dc.identifier.scopus | 2-s2.0-85100726366 | - |
dc.identifier.eissn | 1464-5254 | en_US |
dc.description.validate | 202208 bckw | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | LMS-0072 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 51787758 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Luo_Modeling_Interactions_Among.pdf | Pre-Published version | 1.2 MB | Adobe PDF | View/Open |
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