Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/90705
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Logistics and Maritime Studies | en_US |
| dc.creator | Bai, X | en_US |
| dc.creator | Hou, Y | en_US |
| dc.creator | Yang, D | en_US |
| dc.date.accessioned | 2021-08-20T02:04:35Z | - |
| dc.date.available | 2021-08-20T02:04:35Z | - |
| dc.identifier.issn | 1366-5545 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/90705 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon Press | en_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.rights | The 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.subject | AIS data | en_US |
| dc.subject | Energy choice | en_US |
| dc.subject | IMO emissions regulation | en_US |
| dc.subject | Policy formulation | en_US |
| dc.subject | Ship behaviour | en_US |
| dc.title | Choose clean energy or green technology? Empirical evidence from global ships | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 151 | en_US |
| dc.identifier.doi | 10.1016/j.tre.2021.102364 | en_US |
| dcterms.abstract | On 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.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Transportation research. Part E, Logistics and transportation review, July 2021, v. 151, 102364 | en_US |
| dcterms.isPartOf | Transportation research. Part E, Logistics and transportation review | en_US |
| dcterms.issued | 2021-07 | - |
| dc.identifier.scopus | 2-s2.0-85107958873 | - |
| dc.identifier.eissn | 1878-5794 | en_US |
| dc.identifier.artn | 102364 | en_US |
| dc.description.validate | 202106 bcvc | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | a1011-n06 | - |
| dc.identifier.SubFormID | 2430 | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | RGC: NSFC/RGC Joint Research Scheme under Grant numbers N_PolyU531/16 and 71661167009 | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Bai_Choose_Clean_Energy.pdf | Pre-Published version | 1.43 MB | Adobe PDF | View/Open |
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