Research Article

Financial Implications of the COVID-19 Pandemic on the Container Ship Time Charter Business

Volume: 12 Number: 2 June 30, 2023
EN

Financial Implications of the COVID-19 Pandemic on the Container Ship Time Charter Business

Abstract

This study examines the financial implications of the COVID-19 pandemic on the container ship time charter business. In this context, the container charter transactions were derived from the Clarksons Research Database, which included the ship types, daily charter fees, ship ages, and total charter days. The empirical analysis employed the K-Means Algorithm to cluster the observations in which the elbow curves revealed three cluster centers in the pre-COVID period and four in the post-COVID era, respectively. Based on the industry-wide used threshold definitions, the clusters were then named according to the mean value of given features. In addition, the relative weight of each cluster was disclosed based on the number of transactions falling into the respective cluster. Accordingly, the pre-COVID period clusters were described as intermediate-rated middle-termed young-aged intermediate-TEU container ships; low-rated middle-termed middle-aged feeders; and intermediate-rated long-termed middle-aged upper intermediate-TEU container ships. As for the post-COVID era, the cluster definitions were determined as intermediate-rated middle-termed young-aged feeders; intermediate-rated middle-termed old-aged feeders; high-rated long-termed middle-aged intermediate-TEU container ships; and high-rated short-termed middle-aged intermediate-TEU container ships. The findings suggested that the pandemic boosted the demand for relatively lower TEU container ships such as the feeders in which the criterium of ship age lost its importance due to availability reasons in the market. In addition, the pandemic led to higher charter rates which was a prioritized factor over the charter period.

Keywords

References

  1. Agresti, A., & Franklin, C. (2013). Statistics, the art and science of learning from data (3rd ed.). Pearson.
  2. Chander, B. (2020). Clustering and Bayesian networks (pp. 50–73). In Marquez, F. P. G. (Ed.), Handbook of Research on Big Data Clustering and Machine Learning. IGI Global. https://doi.org/10.4018/978-1-7998-0106-1.ch004
  3. Charbonnaux, A., Chaumette, P., & Fedi, F. (2020). Santé au travail, relève des équipages, dialogue social et emploi maritime: retour d’expériences sur la gestion en France de la crise de la COVID-19. Droit Maritime Français, 827, 686–694.
  4. Clarksons Research. (2021). Shipping Intelligence Network. https://sin.clarksons.net/
  5. Gençer, H. (2022). COVID-19 pandemisi sürecinde konteyner taşımacılığında öne çıkan gelişmeler (Prominent Developments in Container Shipping During the COVID-19 Pandemic Period) (pp. 59-68). In Karabulut, Ş. (Ed.), Bilimsel gelişmeler işığında yönetim ve strateji araştırmaları Management and Strategy Studies in the Light of Scientific Developments). Ekin Yayınevi.
  6. Giordani, P., Ferraro, M. B., & Martella, F. (2020). An introduction to clustering with R, (1). Springer Singapore. https://doi.org/10.1007/978-981-13-0553-5
  7. Guerrero, D., Letrouit, L., & Pais-Montes, C. (2022). The container transport system during COVID-19: An analysis through the prism of complex networks, Transport Policy, 115, 113-225. https://doi.org/10.1016/j.tranpol.2021.10.021
  8. HajKacem, M. A. B., N’Cir, C. -E. B., & Essoussi, N. (2019). Overview of scalable partitional methods for big data clustering (pp. 1–23). In Nasraoui, O., & N’Cir, C. -E. B. (Eds.), Clustering methods for big data analytics: Techniques, toolboxes and applications. Springer Cham. https://doi.org/10.1007/978-3-319-97864-2_1

Details

Primary Language

English

Subjects

Business Administration

Journal Section

Research Article

Early Pub Date

June 20, 2023

Publication Date

June 30, 2023

Submission Date

April 5, 2023

Acceptance Date

June 7, 2023

Published in Issue

Year 2023 Volume: 12 Number: 2

APA
Gencer, H., & Tuzcuoğlu, T. (2023). Financial Implications of the COVID-19 Pandemic on the Container Ship Time Charter Business. Marine Science and Technology Bulletin, 12(2), 191-200. https://doi.org/10.33714/masteb.1277580
AMA
1.Gencer H, Tuzcuoğlu T. Financial Implications of the COVID-19 Pandemic on the Container Ship Time Charter Business. Mar. Sci. Tech. Bull. 2023;12(2):191-200. doi:10.33714/masteb.1277580
Chicago
Gencer, Hüseyin, and Tolga Tuzcuoğlu. 2023. “Financial Implications of the COVID-19 Pandemic on the Container Ship Time Charter Business”. Marine Science and Technology Bulletin 12 (2): 191-200. https://doi.org/10.33714/masteb.1277580.
EndNote
Gencer H, Tuzcuoğlu T (June 1, 2023) Financial Implications of the COVID-19 Pandemic on the Container Ship Time Charter Business. Marine Science and Technology Bulletin 12 2 191–200.
IEEE
[1]H. Gencer and T. Tuzcuoğlu, “Financial Implications of the COVID-19 Pandemic on the Container Ship Time Charter Business”, Mar. Sci. Tech. Bull., vol. 12, no. 2, pp. 191–200, June 2023, doi: 10.33714/masteb.1277580.
ISNAD
Gencer, Hüseyin - Tuzcuoğlu, Tolga. “Financial Implications of the COVID-19 Pandemic on the Container Ship Time Charter Business”. Marine Science and Technology Bulletin 12/2 (June 1, 2023): 191-200. https://doi.org/10.33714/masteb.1277580.
JAMA
1.Gencer H, Tuzcuoğlu T. Financial Implications of the COVID-19 Pandemic on the Container Ship Time Charter Business. Mar. Sci. Tech. Bull. 2023;12:191–200.
MLA
Gencer, Hüseyin, and Tolga Tuzcuoğlu. “Financial Implications of the COVID-19 Pandemic on the Container Ship Time Charter Business”. Marine Science and Technology Bulletin, vol. 12, no. 2, June 2023, pp. 191-00, doi:10.33714/masteb.1277580.
Vancouver
1.Hüseyin Gencer, Tolga Tuzcuoğlu. Financial Implications of the COVID-19 Pandemic on the Container Ship Time Charter Business. Mar. Sci. Tech. Bull. 2023 Jun. 1;12(2):191-200. doi:10.33714/masteb.1277580

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