Souza, F., Pitombo, C.S., de Jong, G. et al. (1 more author) (2023) Port choice in Rio de Janeiro, Brazil: an analysis of the perspectives of exporters and importers in the container market. International Journal of Shipping and Transport Logistics, 17 (1-2). pp. 232-256. ISSN 1756-6517
Abstract
This paper analysed the port choice process from the perspective of two types of agents: 1) exporters/forwarders; 2) importers/forwarders. We used stated preference data collected in the state of Rio de Janeiro, Brazil. Discrete choice models were tested. The best-performing models were mixed logit regression for both groups. The export model showed that road transport tariff, risk of cargo theft, number of ship calls, port tariff and cargo release time are important factors. The import models showed that taxation, road transport tariff, ship calls, port tariff and cargo release time are important variables. The models indicate that the ports in the region analysed are highly dependent on exogenous variables that port authorities cannot control. Some findings are achieved by comparing the outcomes for both groups. The value of time (VOT) referring to the willingness of companies to pay for the reduction of one unit (day) to release cargo at ports was calculated for each group. VOT for importers has a greater value. Different policy scenarios have been simulated to examine the impact of each policy on the market.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 Inderscience Enterprises Ltd. This is an Open Access Article distributed under the CC BY license. (https://creativecommons.org/licenses/by/4.0/ ) |
Keywords: | port choice, stated preference, mixed logit model, port competition, port policy, Brazilian market, Brazil |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Economics and Discrete Choice (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Aug 2024 15:26 |
Last Modified: | 22 Aug 2024 15:26 |
Status: | Published |
Publisher: | Inderscience Publishers |
Identification Number: | 10.1504/ijstl.2023.132686 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:216334 |