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Determining factors affecting second-hand ship value: linkages and implications for the shipbuilding industry

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Inherited volatility and the vulnerability to economic conditions make shipping a challenging business. The prices of second-hand ships and newbuilding are strongly interrelated and are affected by market dynamics. Therefore, understanding factors affecting second-hand prices of ships can be crucial for countries specialize in shipbuilding to diversify their international trade participation via vessels’ exports. This study provides a framework for evaluating several influential factors on second-hand ship prices in different market segments and contributes with managerial implications supporting the shipbuilding industry from a strategic, operational and marketing perspective. This study uses an ordinary least square regression considering a total of 8948 sales transactions of second-hand vessel sales from 2008 to 2020 to determine the effect of factors as age, size and the freight on second-hand ship value. Furthermore, it investigates the effect of ships sold under a time charter agreement, country of built and the type of main engine. The findings suggest that the ships’ type of main engine and the country of build are statistically significant among most vessel categories, while other vessel-specific and economic factors also explain the value of second-hand ships consistent with the literature. Furthermore, the behaviour of the multivariate model is unique depending upon the type of ship classification, which hinders the possibility of generalization. Several implications for the shipbuilding industry are finally derived. The study contributes to existing literature by extending both the factors and type of ships (17 categories among, bulk, tankers and containers) considered in the analysis.

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  • Adland R, Cariou P, Wolff FC (2018) Does energy efficiency affect ship values in the second-hand market? Transpo Res A Policy Prac 111:347–359

    Article  Google Scholar 

  • Adland, R., Jia, H., Harvei, H. C. O., & Jørgensen, J. (2021). Second-hand vessel valuation: an extreme gradient boosting approach. Maritime Policy & Management, 1–18.

  • Adland R, Jia H, Strandenes S (2006) Asset bubbles in shipping? An analysis of recent history in the dry bulk market. Marit Econ & Logist 8(3):223–233

    Article  Google Scholar 

  • Adland R, Koekebakker S (2007) Ship valuation using cross-sectional sales data: a multivariate non-parametric approach. Marit Econ & Logis 9:105–118

    Article  Google Scholar 

  • Ahn YG (2019) A study on the mechanism of promoting of new-building cruise ships in the world cruise industry. J Int Trade & Commerce 15(2):1–13

    Google Scholar 

  • Albertijn S, Drobetz W, Johns M (2016) Maritime investment appraisal and budgeting. In: Kavussanos MG, Visvikis I, Kavussanos MG, Visvikis ID (eds) The International Handbook of Shipping Finance Theory and Practice. Palgrave Macmillan, London, pp 285–313

    Chapter  Google Scholar 

  • Alizadeh A, Nomikos N (2003) The price-volume relationship in the sale and purchase market for dry bulk vessels. Marit Policy Manag 30(4):321–337

    Article  Google Scholar 

  • Beenstock M (1985) A theory of ship prices. Marit Policy Manag 12:215–225

    Article  Google Scholar 

  • Beenstock, M. and Vergottis, A. (1989a), "An econometric model of the world tanker market", Journal of Transport Economics and Policy, pp. 263–280.

  • Beenstock M, Vergottis A (1989) An econometric model of the world shipping market for dry cargo, freight and shipping. Appl Econ 21(3):339–356

    Article  Google Scholar 

  • Camerer C, Lovallo D (1999) Overconfidence and excess entry: an experimental approach. American Economic Review 89(1):306–318

    Article  Google Scholar 

  • Charemza W, Gronicki M (1981) An econometric model of world shipping and shipbuilding. Marit Policy Manag 8(1):21–30

    Article  Google Scholar 

  • Chistè C, Van Vuuren G (2014) Investigating the cyclical behaviour of the dry bulk shipping market. Marit Policy Manag 41(1):1–19

    Article  Google Scholar 

  • Clarksons Research. (2020), Shipping Intelligence Network. Retrieved March 18, 2020, from

  • ECORYS. (2009), Study on Competitiveness of the European Shipbuilding Industry, Rotterdam: ECORYS SCS Group.

  • Eggar Forrester Group. (2020), Eggar Forrester Sales Data. Retrieved March 18, 2020, from

  • Glen DR (1997) The market for second-hand ships: further results on efficiency using cointegration analysis. Marit Policy Manag 24(3):245–260

    Article  Google Scholar 

  • Greenwood R, Hanson SG (2015) Waves in ship prices and investment. Q J Econ 130:55–109

    Article  Google Scholar 

  • Hale, C., & Vanags, A. (1989), "Spot and period rates in the bulk market", Journal of Transport Economics and Policy, Vol.XXIII, pp. 281–291.

  • Hale C, Vanags A (1992) The market for second-hand ships: some results on efficiency using cointegration. Marit Policy Manag 19(1):31–39

    Article  Google Scholar 

  • Haralambides HE, Tsolakis SD, Cridland C (2005) Econometric modelling of newbuilding and second-hand ship prices. In: Cullinane K (ed) Shipping Economics: Research in Transportation Economics, vol 12. Elsevier, London, pp 65–105

    Google Scholar 

  • Jiang L, Strandenes SP (2012) Assessing the cost competitiveness of China’s shipbuilding industry. Marit Econ & Logist 14(4):480–497

    Article  Google Scholar 

  • Kavussanos MG (1996) Price risk modelling of different size vessels in the tanker industry using autoregressive conditional heterskedastic (ARCH) models. Logist and Trans Rev 32(2):161

    Google Scholar 

  • Kavussanos MG (1997) The dynamics of time-varying volatilities in different size second-hand ship prices of the dry-cargo sector. Appl Econ 29(4):433–443

    Article  Google Scholar 

  • Kavussanos MG, Alizadeh AH (2002) Efficient pricing of ships in the dry bulk sector of the shipping industry. Marit Policy Manag 29(3):303–330

    Article  Google Scholar 

  • Kim D, Choi JS (2021) Development of ship valuation model by neural network. J Korean Society of Mar Environ & Saf 27(1):13–21

    Article  Google Scholar 

  • Koenig PC (2016) On the prospects for international commercial shipbuilding competiveness in developed countries. J Ship Prod Des 32(2):124–129.

    Article  Google Scholar 

  • Lim SS, Lee KH, Yang HJ, Yun HS (2019) Panamax second-hand vessel valuation model. J Navig Port Res 43(1):72–78

    Google Scholar 

  • Merikas AG, Merika AA, Koutroubousis G (2008) Modelling the investment decision of the entrepreneur in the tanker sector: choosing between a second-hand vessel and a newly built one. Marit Policy Manag 35(5):433–447

    Article  Google Scholar 

  • Plomaritou, E.I., Plomaritou, V. and Giziakis, K. (2011), "Shipping marketing & customer orientation: the psychology & buying behavior of charterer & shipper in the tramp & liner market", Management: Journal of Contemporary Management Issues, Vol.16, No.1, pp. 57–89.

  • Rodrigue JP (2020) The Geography of Transport Systems, 5th edn. Routledge, New York

    Book  Google Scholar 

  • Stopford M (2009) Maritime Economics, 3rd edn. Routledge, London

    Google Scholar 

  • Strandenes, S.P. (1984), "Price determination in the time charter and second hand markets", Center for Applied Research, Norwegian School of Economics and Business Administration, Working Paper MU, Vol.6, pp. 15.

  • Thalassinos, E. I., & Politis, E. (2014). Valuation model for a second-hand vessel: Econometric analysis of the dry bulk sector. Journal of Global Business and Technology, 10(1).

  • Tsolakis S, Cridland C, Haralambides H (2003) Econometric modelling of second-hand ship prices. Maritime Economics & Logistics 5:347–377

    Article  Google Scholar 

  • United Nations Conference of Trade and Development (2020) Review of Maritime Transport 2020. United Nations Publications, New York

    Google Scholar 

  • Veenstra, A.W. (1999), Quantitative analysis of shipping markets. T99/3, TRAIL Thesis Series. The Netherlands: Delft University Press.

  • Yin J, Shi J (2018) Seasonality patterns in the container shipping freight rate market. Marit Policy Manag 45(2):159–173

    Article  Google Scholar 

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Correspondence to Naleen De Alwis.

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Nam, HS., De Alwis, N. & D’agostini, E. Determining factors affecting second-hand ship value: linkages and implications for the shipbuilding industry. WMU J Marit Affairs 21, 493–517 (2022).

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