A disaggregate analysis of factors influencing port selection

Matthew Malchow, Adib Kanafani

Maritime Policy & Management · 2001 · 199 citations · 14 references

Concepts

TL;DR

The study uses a multinomial logit model to explain U.S. port selection for December 1999 shipments and discusses reasons for unexpected results and ways to improve the model. The authors estimate a multinomial logit model for all shipments and separately for bulk, foods, fabrics, and manufactured goods, comparing commodity‑specific effects of distance, sailing frequency, and vessel size, and propose refinements such as better competitive representation and choice‑set constraints.

Abstract

Abstract In this paper are presented the results of a multinomial logit model used to explain the selection of a port for each shipment exported from the US in December 1999. The model is estimated for combined shipments, and one model is estimated for each of four commodity types (bulk, foods, fabrics, manufactured). Results are compared across commodities to find the significance of the distance in either direction, the frequency of sailings, and the average size of vessels sailing along a route. Results of the estimation do not match those that would be expected. Potential reasons are given for such variations, along with numerous methods by which the modelling could be improved. Methods for improvement suggested include structuring of the model to represent more accurately the competitive scenario of each port, constraining the choice set for each shipments from characteristics of the carrier, and the commodity.

References

14