Financial performance under stress: the case of the Norwegian maritime cluster
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DOIhttp://dx.doi.org/10.21511/pmf.08(1).2019.05
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Article InfoVolume 8 2019, Issue #1, pp. 54-72
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The present study investigates the Norwegian maritime industry in terms of its economic activity during the period 2001–2018. The purpose of the study is to determine the financial state and to conduct the cluster analysis of the companies which belong to the Blue Maritime Cluster of Møre and Romsdal County.
The paper presents a structural analysis of key financial indicators of the maritime industry within four major segments: shipping companies, shipyards, ship equipment manufactures, and maritime design and service providers. The analysis sheds light on the impact of the 2015–2017 offshore crisis on the Norwegian maritime cluster activity, which makes up the essential components of the maritime industry.
The author suggests using Harrington’s desirability function to measure the firms’ financial state of two main segments (shipping companies and shipyards) that belong to the Blue Maritime Cluster of the Norwegian North-Western coast, which remains the most important area in Norway for shipbuilding activities. The obtained results reveal that during the analyzed period (2001–2018), companies had a satisfactory level of financial sustainability (with the peak in 2002 for shipping firms and in 2011 for shipyards). Nevertheless, there were several fluctuations and the most significant troughs were fixed after 2014. Moreover, it was defined that government policy plays an important role in an increase in the productivity, competitiveness of the maritime industry and supports more environmentally friendly shipbuilding.
- Keywords
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JEL Classification (Paper profile tab)L25, L98, Q48
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References30
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Tables4
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Figures13
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- Figure 1. Norwegian fleet by flag of registration and the value of the ship type, 2018
- Figure 2. Value creation and employment in the maritime industry (2004–2019)
- Figure 3. Turnover generated from different market segments (2004–2018)
- Figure 4. Value creation in main groups and subgroups in 2016 (numbers in billion NOK)
- Figure 5. Number of persons employed in the maritime industry in 2018 by main groups, %
- Figure 6. Development of turnover among the various shipping types (2004–2018)
- Figure 7. Development in operating margin among service providers (2004–2018)
- Figure 8. Turnover and operating margin among the shipyards (2014–2017)
- Figure 9. Turnover and operating margin among equipment suppliers (2004–2017)
- Figure 10. Harrington’s desirability function
- Figure 11. The value of the integral index of the financial state of the shipping companies and shipyards
- Figure 12. The dynamics of the integral index of the financial state of the shipping companies and shipyards in a period 2001–2018
- Figure 13. Hierarchical classification of shipping companies and shipyards
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- Table 1. Norwegian merchant fleet by country of beneficial ownership, annual, 2014–2018
- Table 2. Regionally distributed key figures for the maritime industry in 2018
- Table 3. Harrington’s function rating scale
- Table 4. Partial functions determined according to the Harrington’s scale
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- Asheim, B., Grillitsch, M., & Trippl, M. (2016). Smart Specialization as an innovation-driven strategy for economic diversification: Examples from Scandinavian regions (Paper in Innovation Studies 2016/23). Lund University, CIRCLE – Center for Innovation, Research and Competences in the Learning Economy.
- Cluster Maritimo Espanol. (2006). Quantification and Economic Impact of the Maritime Sector.
- Doloreux, D., & Shearmur, R. (2009). Maritime clusters in diverse regional contexts: The case of Canada. Marine Policy, 33(3), 520-527.
- European Commission. Maritime affairs (2008). The role of Maritime Clusters to enhance the strength and development of maritime sectors.
- Grytten, O. H., & Koilo, V. (2019). Norske maritime næringer i endring: krise og utfordring.
- Hansen, J. F., & Clasen, J. K. (2010). The Economics Significance of Maritime Clusters.
- Koilo, V., & Grytten, O. H. (2019). The Blue Maritime Cluster Crisis Financial Instability and Supply Chain Management Effects (Discusssion Paper SAM15). Department of Economics. NHH.
- Koilo, V. (2019b). Sustainability issues in maritime transport and main challenges of the shipping industry. Environmental Economics, 10(1), 48-65.
- Langlois, R., & Robertson, P. (1996). Stop Crying over Spilt Knowledge: A Critical Look at the Theory of Spillovers and Technical Change (University of Connecticut Department of Economics Working Paper Series. Connecticut).
- Maticiuc, M. (2014). Top-down and bottom-up cluster initiatives in Europe. Annals of the University of Petroşani, Economics, 14(1), 205-212.
- Meersman, H., & Voorde, V. E. (1997). Cooperation and strategic alliances in the maritime sector and port industry. Proceedings International NAV & HSMC Conference.
- Menon (2018). GCE Blue Maritime 2018 – Global Performance Benchmark. Menon Publication 89/2018.
- Menon (2019). Maritim verdiskapningsbok 2019. Maritime Forum.
- Mylonas, P., Wallace, M., & Kollias, S. (2004). Using k-nearest neighbor and feature selection as an improvement to hierarchical clustering (Proceedings of 3rd Hellenic Conference on Artificial Intelligence). Samos, Greece.
- Norwegian Ministry of Trade, Industry and Fisheries (2015). Maritime Opportunities – Blue Growth for a Green Future. The Government’s maritime strategy.
- OECD (2007). Competitive Regional Clusters: National Policy Approaches.
- OECD (2017). Peer review of Norway’s shipbuilding industry.
- Porter, M. (1990). The competitive advantage of nations. Macmillan: London.
- Porter, M. (1998). Systems of innovation: growth, competitiveness, and employment. Harvard Business Press: Boston.
- Proff (2019). Companies’ consolidated financial statements. The Business Finder.
- Spencer, G. M., Vinodrai, T., Gertler, M. S., & Wolfe, D. A. (2010). Do Clusters Make a Difference? Defining and Assessing their Economic Performance. Regional Studies, 44(6), 697-715.
- Statistics Norway (SBB) (2019). Statistics Norway (dataset).
- Tangparitkul, S. J. (2018). Evaluation of effecting factors on oil recovery using the desirability function. Journal of Petroleum Exploration and Production Technology, 4(8), 1199-1208.
- The European Cluster Memorandum. (n.d.). Promotion European Innovation through Clusters: An Agenda for Policy Action.
- UNCTAD (2019). The Review of Maritime Transport 2018. United Nations Report.
- Vanaale, E. (2012). Trade and shipping in global scale – impact on the Baltic (Presentation at Baltic Ports Conference, 6.9.2012). Turku, Finland.
- Vienna Cluster Manifesto (2012). Recommendations issued following the European Cluster Conference 2012 (Ref. Ares (2014)72395 – 15/01/2014).
- Voorde, E. E. M. (2005). What future the maritime sector? Some considerations on globalization, co-operation, and market power. Global Competition in Transportation Markets: Analysis and Policy Making. Transportation Economics, 13.
- Wihlborg, M. (2006, August). Employment trends in all sectors related to the sea or using sea resources: Country report – Sweden (European Commission DG Fisheries and Maritime Affairs). ECOTEC Research & Consulting.
- Wijnolst, N., Jenssen, J. I., & Sodal, S. (2008). European maritime clusters. Agder University College, Faculty of Economics and Social Science and DUP Satellite, Delft University Press.