The degree of wage differential as an indicator of the balance between demand and labour supply

• Autorzy: Skrzeszewska K.

Identyfikatory

DOI

10.12716/1001.14.01.27

• Języki publikacji: EN

Abstrakty

EN

The purpose of the article is to use the Gini index to indicate supply gaps in the labour market at sea. In order to determine the size of imbalance in the labour market at sea, a measure of concentration (unevenness) of distribution of a random variable was used. To determine in which positions the largest deficit of employees occurs (and probably will occur in future), positions from the deck and the engine room were selected, both among officers and ratings. Wages received on dry ships and on tankers were analysed separately. The next step was to select nations that to the greatest extent join crews of sea-going vessels (China, Croatia, India, Latvia, Philippines, Poland, Romania, Russia, Ukraine, the United Kingdom). First, the GDP per capita was compared for individual economies, from which seafarers were selected for the analysis. Then, salary levels were compared for each selected position. Differences in the GDP per capita calculated using the Gini coefficient were in line with differences in positions among ratings - mostly among cooks, ordinary seamen, wipers and messmen, regardless in which ship (dry or tanker) they were employed. Among the positions on which nationality had little impact on the amount of remuneration were: chief engineer on tankers and on bulk carriers: master, chief officer and 2nd engineer. Knowledge of the level of market imbalance and market trends may be helpful for crew departments/ crew agencies, while developing a policy of hiring people to work at sea. Additionally, it may indicate areas in which education and training of seafarers should be activated.

Słowa kluczowe

EN

crew manning; gini index; demand and labour supply; GDP; economics; degree of wage differential; BIMCO; ITF

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2020
• Tom: Vol. 14, no. 1
• Strony: 215--219
• Opis fizyczny: Bibliogr. poz.

Twórcy

autor

Skrzeszewska K.

• Gdynia Maritime University, Gdynia, Poland

Bibliografia

• 1. Atkinson, A. B. (1970). On the measurement of inequality. Journal of Economic Theory, 2(3), 244–263. https://doi.org/10.1016/0022-0531(70)90039-6
• 2. BIMCO, & ISF. (2015). Manpower Report. The global supply and demand for seafarers in 2015
• 3. Ceriani, L., & Verme, P. (2012). The origins of the Gini index: Extracts from Variabilità e Mutabilità (1912) by Corrado Gini. The Journal of Economic Inequality, 10(3), 421–443. https://doi.org/10.1007/s10888-011-9188-x
• 4. Clayton, R. (2017). The maritime world in 2017. IHS Markit
• 5. Drewry Research, M. (2015). Manning 2015. 82.
• 7. Exarchopoulos, G., Zhang, P., Pryce-Roberts, N., & Zhao, M. (2018). Seafarers’ welfare: A critical review of the related legal issues under the Maritime Labour Convention 2006. Marine Policy, 93, 62–70. https://doi.org/10.1016/j.marpol.2018.04.005
• 8. Greselin, F., & Zitikis, R. (2018). From the Classical Gini Index of Income Inequality to a New Zenga-Type Relative Measure of Risk: A Modeller’s Perspective. Econometrics, 6(1), 4. https://doi.org/10.3390/econometrics6010004 - doi:10.3390/econometrics6010004
• 9. ITF. (2017). STCW. A guide for seafarers. Taking into account the 2010 Manila amendments. London
• 10. Japan International Transport Institute, & The Nippon Foundation. (2010). A Study on the “Future Global Supply and Demand for Seafarers and Possible Measures to Facilitate Stakeholders to Secure a Quantity of Quality Seafarers”. http://www.jterc.or.jp/english/kokusai/conferences/pdf/1 00511_03-2.pdf.
• 11. Japan Maritime Center. (2013). Seafarers Demand Forecast.
• 12. Jędrzejczak, A., & Pekasiewicz, D. (2018). DIFFERENTIATION OF INCOME DISTRIBUTION OF FARMERS` HOUSEHOLDS IN THE POLISH MACROREGIONS. Problems of Agricultural Economics, 356(3), 150–167. https://doi.org/10.30858/zer/94482
• 13. Lee, S.-B., Lee, S. M., & Lee, K.-Y. (2017). A Gini coefficient based evaluation on the reliability of travel time forecasting. Journal of King Saud University - Engineering Sciences. https://doi.org/10.1016/j.jksues.2017.12.001
• 14. Lerman, R. I., & Yitzhaki, S. (1984). A NOTE ON THE CALCULATION AND INTERPRETATION OF THE GINI INDEX. Economics Letters, 15, 363–368.
• 15. Oxford Economics. (2016). UK Seafarer Projections. London.
• 16. Patchiappane, M., & Rengamani, J. (2018). STUDY ON THE DEMAND AND SUPPLY OF SEAFARERS AND ITS IMPACT ON MARITIME INDUSTRY. Journal of Management, 5(5), 63–72
• 17. Skrzeszewska, K. (2014). Trendy na współczesnym rynku pracy na morzu. Logistyka, 6, 1147–1155.
• 18. Skrzeszewska, K., & Beran, I. M. (2016). IS IGNORANCE OF POTENTIAL CAREER PATHS A DISINCENTIVE FOR STARTING A CAREER IN THE MARITIME SECTORS? 549–557.
• 19. Theil, H. (1967). Economics and Information Theory (North Holland). Amsterdam.
• 20. Tusson, A. Q. (2018). The future of manpower supply sustainability for shipping industry. International Journal of Advanced Scientific Research and Management, 3(4), 8.
• 21. Włodarczyk, J. (2013). Nierówności dochodowe w Polsce według rozkładów Pareto i Boltzmanna-Gibbsa. Studia Ekonomiczne, 130, 76–87
• 22. World Bank Institute. (2005). Poverty Manual, All, JH Revision of August 8, 2005.
• 23. Wu, B., & Morris, J. (2006). ‘A life on the ocean wave’: The ‘post-socialist’ careers of Chinese, Russian and Eastern European seafarers. The International Journal of Human Resource Management, 17(1), 25–48. https://doi.org/10.1080/09585190500366201
• 24. Zenga, M. (2007). Inequality curve and inequality index based on the ratio between lower and upper arithmetic means. STATISTICA & APPLICAZIONI, (1)

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).