Measuring the efficiency of maritime transport companies
DC Field | Value | Language |
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dc.contributor.author | Kang, H.-W. | - |
dc.contributor.author | Kim, Y.-M. | - |
dc.date.accessioned | 2021-06-18T08:43:43Z | - |
dc.date.available | 2021-06-18T08:43:43Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 1738-3110 | - |
dc.identifier.issn | 2093-7717 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/45637 | - |
dc.description.abstract | Purpose - This paper evaluated the efficiency performance of the three major maritime transport markets and examined the determinants of the performance. The firms' revenue fluctuates with the changes of the economic cycle; hence it is important for them to set up business strategies to improve efficiencies. A lack of efficiency measurements for shipping firms leads to a significant gap in determining their overall performance. Research design, data, and methodology - Each of DEA scores was adopted for the evaluation and panel regression was used to examine the impact of determinants on the performance. The analysis included 50 shipping firms from three maritime transport markets as follows; 15 firms of container liners, 18 firms of bulk carrier and 17 firms of tanker carriers, and its period was from 2010 to 2016. Results - In the CCR model, container liners were the highest, tanker carriers were the second, and bulk carriers were the lowest in operation efficiency and financial efficiency. By region, operation efficiency and financial efficiency was high in the order of America, Asia, and Europe. Conclusions - This study suggests business strategies for maritime transport companies based on the analytical results of determinants of operational and financial efficiency. | - |
dc.format.extent | 14 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Korea Distribution Science Association (KODISA) | - |
dc.title | Measuring the efficiency of maritime transport companies | - |
dc.type | Article | - |
dc.identifier.doi | 10.15722/jds.15.11.201711.59 | - |
dc.identifier.bibliographicCitation | Journal of Distribution Science, v.15, no.11, pp 59 - 72 | - |
dc.identifier.kciid | ART002285948 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85037168783 | - |
dc.citation.endPage | 72 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 59 | - |
dc.citation.title | Journal of Distribution Science | - |
dc.citation.volume | 15 | - |
dc.type.docType | Article | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Bulk carriers | - |
dc.subject.keywordAuthor | Container liners | - |
dc.subject.keywordAuthor | Data envelopment analysis | - |
dc.subject.keywordAuthor | Maritime transport | - |
dc.subject.keywordAuthor | Tanker carriers | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
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