EVALUATION OF THE TURKISH MARINE TRADE FLEET IN TERMS OF SHIP SIZES AND MAIN ENGINE POWERS

Gizem KAYİŞOĞLU () and Fırat Bolat ()
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Gizem KAYÄ°ÅžOÄžLU: Ä°stanbul Teknik Ãœniversitesi
Fırat Bolat: İstanbul Teknik Üniversitesi

Eurasian Eononometrics, Statistics and Emprical Economics Journal, 2021, vol. 18, issue 18, 44-63

Abstract: There are many different types of ships in the world maritime industry. Among these vessels, the ship type with the largest share in international trade is dry cargo, container and tanker type vessels, and their markets are served by many vessels of various sizes, especially in these areas. The International Maritime Organization (IMO) has categorized the ship types in the world maritime sector and the gross tonnage expression obtained by calculating all the closed areas of the ship is defined in the International Convention on Measuring the Tonnages of Ships. Rules and limitations such as safety and security rules, rights, responsibilities and qualifications for the employees of the ship, insurance premiums, registration fees, certificates that the ship must have, etc? are generally defined in terms of gross tonnage. Similarly, the engine power of the ships is another unit used to determine the limits in the conventions, especially for oil gas emission rules, fuel rules. In this context, in this study, the answer to the question of what are the gross tonnages and power values (median) as the nominal (nominal) value according to the types of Turkish flagged vessels actively working were sought. For this purpose, actively working Turkish flagged vessel types in the IMO GISIS database were obtained and the distribution of the data was analyzed with the Excel program. Box graph method was used to access statistical explanatory criteria of the data. Within the scope of the results, it is aimed to create a vision for determining the limitations of the ship types of the Turkish merchant fleet in the subjects they are related to under IMO conventions.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:eas:econst:v:18:y:2021:i:18:p:44-63

DOI: 10.17740/eas.stat.2021-V18-04

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