PECULIARITIES OF CURRENT WORLD SCIENTIFIC RESEARCHES ON MARITIME ECONOMICS AND SPECIFICALLY SEABORNE TRADE

Authors

  • G.B. Zaidman Odessa I. I. Mechnikov National University, Department of World Economy and International Economic Relations, Dvoryanska str., 2, Odessa, 65000 https://orcid.org/0000-0001-8937-1884
  • S.O. Yakubovskiy Odessa I. I. Mechnikov National University, Department of World Economy and International Economic Relations, Dvoryanska str., 2, Odessa, 65000 https://orcid.org/0000-0002-1193-0241

DOI:

https://doi.org/10.15330/apred.1.17.8-22

Keywords:

maritime economics, seaborne trade, nowcasting trade data, international maritime transportation, merchant fleet, shipping companies, freight market, freight rate, dry bulk transportation, coronavirus pandemic

Abstract

The article analyzes and systemizes current studies of leading world scientists on maritime economics and seaborne trade with the aim to reveal current trends and venues for future researches in this field. Special attention is paid to researches evaluating how the outbreak of coronavirus pandemic impacted shipping industry as a main global supplier of goods. All studies under review are conceptually grouped into two main branches. The first branch comprises papers focused on the world seaborne trade data dynamics, including official maritime reports. As opposed to Ukrainian and Russian maritime economics papers which predominantly describe and portray the statistical data available in official maritime reports issued by international organizations and shipping services providers, leading world scholars use this statistics as a baseline for individualized researches, mainly focused on investigation of correlation between various shipping indicators and prediction of same. The second branch comprises papers investigating trade of certain types of cargo, such as containers, crude oil, dry bulk. Several general peculiarities of both branches of researches are defined. Almost all of them attempt to provide an insight into the nature of a freight rate and to forecast the development of either general freight market or specific cargo related one. The utilized methodology is also identical. Depending on the aim of research and data availability, scholars employ various models of regression analysis, a standard tool of statistical modeling, which estimates the average relationship between two or more variables. No matter which freight market is under investigation, studies usually try to examine the connection of this market with others by evaluating the spillover effects between vessel types and vessel sizes. Distinguishing features of researches lie in the target stakeholders who could benefit from, either the industry in general or particular groups of market participants. In addition, nowcasting trade data is a real problem raised by the industry to modern science, which tries to tackle it by proposing innovative digitalized solutions.

Author Biographies

G.B. Zaidman, Odessa I. I. Mechnikov National University, Department of World Economy and International Economic Relations, Dvoryanska str., 2, Odessa, 65000

department finder

S.O. Yakubovskiy, Odessa I. I. Mechnikov National University, Department of World Economy and International Economic Relations, Dvoryanska str., 2, Odessa, 65000

Doctor of Economics, Professor

References

1. Michail N., Melas K., Batzilis D. Container Shipping Trade and Real GDP Growth: A Panel Vector Autoregressive Approach. Economics Bulletin. 2021. January. Vol. 41 (2). Pp. 304-315.
2. Review of Maritime Transport. Report by the UNCTAD. New York and Geneva, 2020. 159 p.
3. Stopford M. Maritime Economics. Abingdon, 2009. 815 p.
4. Lirn T. Book review – Martin Stopford, Maritime Economics. The Asian Journal of Shipping and Logistics. 2011. August. Vol. 27 (2). Pp. 355-362.
5. Gounaris P. International Trade and The Maritime Shipping Revolution. The Student Economic Review. 2017. Vol. 31. Pp. 10-16.
6. Shipping Intelligence Weekly. Clarksons Research. London, 2021. April. Issue No. 1,467. 20 p.
7. Arslankap S., Marini M., Tumbarello P. Big Data on Vessel Traffic: Nowcasting Trade Flows in Real Time. IMF Working Paper 19/275. 2019. December. 34 p.
8. Cerdeiro D., Komaromi A., Liu Y., Saeed M. World Seaborne Trade in Real Time: A Proof of Concept for Building AIS-based Nowcasts from Scratch. IMF Working Paper 20/57. 2020. May. 44 p.
9. Cerdeiro D., Komaromi A. Supply Spillovers During the Pandemic: Evidence from High-Frequency Shipping Data. IMF Working Paper 20/284. 2020. December. 29 p.
10. Michail N., Melas K. Shipping Markets in Turmoil: An Analysis of the Covid-19 Outbreak and Its Implications. Transportation Research Interdisciplinary Perspectives. 2020. September. Vol. 7. Available at: https://www.sciencedirect.com/science/article/pii/S2590198220300890 (дата звернення: 26.04.2021).
11. Michail N. World Economic Growth and Seaborne Trade Volume: Quantifying the Relationship. Transportation Research Interdisciplinary Perspectives. 2020. March. Vol. 4. URL: https://www.sciencedirect.com/science/article/pii/S2590198220300191#fo0005 (дата звернення: 26.04.2021).
12. Michail N., Melas K. Quantifying the Relationship Between Seaborne Trade and Shipping Freight Rates: A Bayesian Vector Autoregressive Approach. Maritime Transport Research. 2020. Vol. 1. URL: https://www.sciencedirect.com/science/article/pii/S2666822X20300010 (дата звернення: 26.04.2021).
13. Kim C. B. Does Exchange Rate Volatility Affect Korea’s Seaborne Import Volume? The Asian Journal of Shipping and Logistics. 2017. March. Vol. 33 (1). Pp. 43-50.
14. Зайдман Г. Б., Якубовський С. О. Економіка морського транспорту та морська торгівля в сучасних дослідженнях учених із пострадянських країн. Причорноморські економічні студії. 2021. Вип. 63. С. 11-19.
15. Ko B. A Mixed-Regime Model for Dry Bulk Freight Market. The Asian Journal of Shipping and Logistics. 2010. December. Vol. 26 (2). Pp. 185-204.
16. Ko B. Dynamics of Dry Bulk Freight Market: Through the Lens of a Common Stochastic Trend Model. The Asian Journal of Shipping and Logistics. 2011. December. Vol. 27 (3). Pp. 387-404.
17. Ko B. Analysis of Term Structure in Dry Bulk Freight Market. The Asian Journal of Shipping and Logistics. 2013. April. Vol. 29 (1). Pp. 1-22.
18. Tsioumas V., Papadimitriou S., Smirlis Y., Zahran S. A Novel Approach to Forecasting the Bulk Freight Market. The Asian Journal of Shipping and Logistics. 2017. March. Vol. 33 (1). Pp. 33-41.
19. Dai L., Hu H., Zhang D. An Empirical Analysis of Freight Rate and Vessel Price Volatility Transmission in Global Dry Bulk Shipping Market. Journal of Traffic and Transportation Engineering (English Edition). 2015. October. Vol. 2 (5). Pp. 353-361.
20. Michail N., Melas K. Market Interactions Between Agricultural Commodities and the Dry Bulk Shipping Market. The Asian Journal of Shipping and Logistics. 2021. March. Vol. 37 (1). Pp. 73-81.
21. Michail N., Melas K. The Relationship Between Commodity Prices and Freight Rates in the Dry Bulk Shipping Segment: A Threshold Regression Approach. SSRN Electronic Journal. 2020. November. Available at: https://www.researchgate.net/publication/345715333_The_Relationship_Between_Commodity_Prices_and_Freight_Rates_in_the_Dry_Bulk_Shipping_Segment_A_Threshold_Regression_Approach (дата звернення: 26.04.2021).
22. Pelagidis T., Karaoulanis I. Capesize Markets Behavior: Explaining Volatility and Expectations. The Asian Journal of Shipping and Logistics. 2021. March. Vol. 37 (1). Pp. 82-90.
23. Pelagidis T., Panagiotopoulos G. Forward Freight Agreements and Market Transparency in the Capesize Sector. The Asian Journal of Shipping and Logistics. 2019. September. Vol. 35 (3). Pp. 154-162.
24. Chen J., Xue K., Song L., Luo J., Mei Y., Huang X., Zhang D., Hua C. Periodicity of World Crude Oil Maritime Transportation: Case Analysis of Aframax Tanker Market. Energy Strategy Reviews. 2019. August. Vol. 25. Pp. 47-55.
25. Fei Y., Chen J., Wan Z., Shu Y., Xu L., Li H., Bai Y., Zheng T. Crude Oil Maritime Transportation: Market Fluctuation Characteristics and the Impact of Critical Events. Energy Reports. 2020. November. Vol. 6. Pp. 518-529.
26. Galierikova A., Materna M. World Seaborne Trade with Oil: One of Main Cause for Oil Spills? Transportation Research Procedia. 2020. Vol. 44. Pp. 297-304.

Downloads

Published

2021-11-30