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Bayraktar, M, Mollaoglu, M and Yuksel, O (2025) Scientometric Analysis of Energy Efficiency Indicators in Maritime Transportation: A Systematic State-of-the-Art Review and Implications. Sustainability, 17 (8).
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Abstract
<jats:p>This study investigates energy efficiency indicators including the Energy Efficiency Design Index (EEDI), Energy Efficiency Operational Index (EEOI), Ship Energy Efficiency Management Plan (SEEMP), Energy Efficiency Existing Ship Index (EEXI), and Carbon Intensity Indicator (CII) by providing a comprehensive scientometric analysis. The specified indices are scrutinized using papers from WoS and Scopus databases by applying the Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) method to select the most appropriate papers in the related literature. Keyword and citation analysis of papers were performed using the VOSviewer software program to reveal the current research trends. The analysis addresses several critical aspects. Firstly, it focuses on identifying which indicators are employed more frequently in the literature, and secondly, it classifies the research according to whether a calculation was made, and the yearly distribution was determined. The results pinpoint that the EEDI and EEOI were examined in 42.55% and 22.49% of the reviewed studies, respectively. Furthermore, it is evident that the EEXI and CII percentages have increased drastically over the past three years, with the figures standing at 20.01% and 18.59%, respectively. Consequently, in alignment with the findings, the theoretical and managerial implications are highlighted for the private sector, academia, and maritime stakeholders.</jats:p>
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 46 Information and Computing Sciences; 4610 Library and Information Studies; 7 Affordable and Clean Energy; 12 Built Environment and Design |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering |
| Divisions: | Engineering |
| Publisher: | MDPI |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 24 Apr 2025 10:40 |
| Last Modified: | 24 Apr 2025 10:40 |
| DOI or ID number: | 10.3390/su17083612 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/26239 |
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