The Asian Journal of Shipping and Logistics
This study investigates determinants of the probability that an individual onboard a ship of a given shipping line will be injured (given that the ship is not involved in an accident). A Probit regression statistical model is used to investigate such determinants when ships are in port and on given types of containerships. Probit estimation results suggest that an individual is less likely to be injured in port onboard a ship that is larger in size and underway, but more likely to be injured if involved in a fall. An individual is less likely to be injured onboard a containership with AMO union officers if it is larger in size and during the daytime. An individual is less likely to be injured onboard a containership with MEBA and MMP union officers if it is larger in size, when the weather is clear and when he/she is wearing steel-toed safety boots.
Original Publication Citation
Talley, W. K. (2009). Determinants of the probability of ship injuries. The Asian Journal of Shipping and Logistics, 25(2), 171-188. doi:10.1016/S2092-5212(09)80001-1
Talley, Wayne K., "Determinants of the Probability of Ship Injuries" (2009). Economics Faculty Publications. 3.
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Per publication website, published under a Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) license: https://creativecommons.org/licenses/by-nc-nd/4.0/.
Open access funded by The Korean Association of Shipping and Logistics, Inc.