Article
Article name Economic Basis for Forecasting the Volume of Bulk Cargo Shipping
Authors
Bibliographic description
Category Economics
DOI 338.27
DOI 10.21209/2227-9245-2022-28-3-105-111
Article type
Annotation This article deals with the actual problem of planning and forecasting the development of sea transportation of bulk cargoes; the solution of this problem in the modern conditions of the COVID-19 pandemic is especially significant. The author has created and researched a set of statistical data on the world sea transportation of the three main bulk cargoes, which include iron ore, coal and grain. A linear diagram with areas was formed, which visually characterizes the structure of sea transportation of the main bulk cargoes, as well as positive trends in its change over 37 years. The average annual growth rate of the maritime transportations of the considered cargo types was analyzed. A correlation field for sea transportations of the main bulk cargoes for the last 39 years has been constructed. An econometric model was developed, characterizing a linear relationship between the world volume of sea transportations of basic bulk cargoes and the year of their realization, which can be practically used by domestic shipping companies in planning their future financial results. The purpose of the research. Creation of an economic-mathematical model, which will be the methodological basis for forecasting the global volume of marine transportation of basic bulk cargoes when making management decisions by domestic shipping companies in the development of their bulk fleet. Methods. General scientific methods of system analysis and synthesis, methods of mathematical statistics are used in the given research. Results. The economic-mathematical model of forecasting the global volume of sea transportation of iron ore, coal and grain has been developed and used to define a possible value of sea transportation of the main bulk cargoes for 2025, which will increase by 2.4% compared to 2019.
Key words Keywords: sea transportation, mathematical model, forecasting, bulk cargos, planning, shipping companies, development strategy, volume growth, expert assessments, COVID-19 pandemic
Article information Marchenko S. Economic Basis for Forecasting the Volume of Bulk Cargo Shipping // Transbaikal State University Journal, 2022, vol. 28, no. 3, pp. 105-111. DOI: 10.21209/2227-9245-2022-28-3-105-111
References 1. Kuptsov N. V. Vestnik gosudarstvennogo universiteta morskogo i rechnogo flota im. admirala S. O. Makarova (Bulletin of the State University of Marine and River Fleet named after Admiral S. O. Makarov), 2017, vol. 9, no. 2, рр. 323‒336. DOI 10.21821/2309-5180-2017-9-2-323-336. 2. Kuptsov N. V. Transport Urala (Transport of the Urals), 2016, no. 1, рp. 16–23. DOI 10.20291/1815-9400-2016-1-16-23. 3. Logachev S. I., Chugunov V. V., Gorin Ye. A. Mirovoye sudostroyeniye: sovremennoye sostoyaniye i perspektivy razvitiya. 2-ye izd., dop. i pererab. (World shipbuilding: current state and development prospects. 2nd ed., add. and reworked). St. Petersburg: Mor West, 2009, 544 p. 4. Logachev S. I., Chugunov V. V. Mirovoye sudostroyeniye: sovremennoye sostoyaniye i perspektivy razvitiya (World shipbuilding: current state and development prospects). St. Petersburg: Shipbuilding, 2001, 312 p. 5. Port-novosti (Port news). Available at: Portnews/ru/comments/print/3119/?backurl=/comments/ (date of access: 02/16/2022). Text: electronic. 6. UNCTAD/RMT/2017 (UNCTAD/RMT/2017). 7. UNCTAD/RMT/2018 (UNCTAD/RMT/2018). 8. UNCTAD/RMT/2019 (UNCTAD/RMT/2019). 9. UNCTAD/RMT/2020 (UNCTAD/RMT/2020). 10. Chiroșcă A. M., Rusu L. 20th International Multidisciplinary Scientific GeoConference SGEM 2020 (Albena, 18–24 августа 2020 г.) (20th International Multidisciplinary Scientific GeoConference SGEM 2020 (Albena, 18–24 августа 2020 г.)). Sofia: СТЕФ92 Technology, 2020, рр. 863‒870. DOI 10.5593/sgem2020/3.1/s15.111. 11. Zubkov V., Sirina N. Advances in Intelligent Systems and Computing (Advances in Intelligent Systems and Computing), 2020, vol. 1116 AISC, рр. 1110‒1119. DOI 10.1007/978-3-030-37919-3_109.
Full articleEconomic Basis for Forecasting the Volume of Bulk Cargo Shipping