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The determinants of vessel capacity utilization: The case of Brazilian iron ore exports

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  • Adland, Roar
  • Jia, Haiying
  • Strandenes, Siri P.

Abstract

The objective of this paper is to determine the drivers behind the utilization of a vessel’s cargo-carrying capacity on individual voyages. Based on maritime economic theory we propose that a vessel’s capacity utilization - defined as the ratio of cargo size divided by DWT - should be positively correlated with freight rates, as poor market conditions will force vessels to compete for lower-than-optimal stem sizes. Furthermore, we propose that capacity utilization is dependent on the distance sailed, the fuel price and the value of the cargo. Using a unique data set sourced from port agent lineup reports and covering nearly 10,000 individual shipments of iron ore from Brazil between 2009 and 2014 we estimate a multiple regression model consisting of macroeconomic, route-specific and vessel-specific determinants. Our empirical results suggest that vessel-specific determinants (DWT) dominate the impact of general market conditions, with smaller vessels typically having lower capacity utilization. The impact of freight market conditions conforms to our a priori expectations. Our findings and modeling approach contributes to maritime environmental policymaking by enabling more accurate bottom-up estimation of emissions. The research is also crucial for improved modeling of real vessel earnings and tonne-mile demand based on observations of global ship movements from AIS data.

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  • Adland, Roar & Jia, Haiying & Strandenes, Siri P., 2018. "The determinants of vessel capacity utilization: The case of Brazilian iron ore exports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 191-201.
  • Handle: RePEc:eee:transa:v:110:y:2018:i:c:p:191-201
    DOI: 10.1016/j.tra.2016.11.023
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    Cited by:

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    7. Merkel, Axel & Lindgren, Samuel, 2022. "Effects of fairway dues on the deployment and utilization of vessels: Lessons from a regression discontinuity design," Transport Policy, Elsevier, vol. 126(C), pages 204-214.
    8. Kei Kanamoto & Liwen Murong & Minato Nakashima & Ryuichi Shibasaki, 2021. "Can maritime big data be applied to shipping industry analysis? Focussing on commodities and vessel sizes of dry bulk carriers," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 211-236, June.
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