Do carrier expectations indicate industry structure in container shipping? An econometric analysis
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2364-4575
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Do carrier expectations indicate industry structure in container shipping? An econometric analysis ; volume:5 ; number:1 ; day:13 ; month:1 ; year:2020 ; pages:1-16 ; date:12.2020
Journal of shipping and trade ; 5, Heft 1 (13.1.2020), 1-16, 12.2020
- Classification
-
Handel, Kommunikation, Verkehr
- Creator
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s41072-019-0057-2
- URN
-
urn:nbn:de:101:1-2020041813315728765252
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:55 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Fusillo, Michael
- Haralambides, Hercules E.
- SpringerLink (Online service)
Other Objects (12)
The Human Element in Container Shipping
The human element in container shipping
CASE: Reinventing the container shipping industry
Optimizing inland container shipping through reinforcement learning
Studying Network design in Container linter shipping
Teaching note for vase: Reinventing the container shipping industry
Model-based long-term pricing in maritime container shipping
Model-based long-term pricing in maritime container shipping
A framework for understanding reliability in container shipping networks
Autonomous ships for container shipping in the Arctic routes
Econometric estimation of second-hand shipping markets using panel data analysis
Port investment and container shipping markets: Roundtable summary and conclusions
The Human Element in Container Shipping
The human element in container shipping
CASE: Reinventing the container shipping industry
Optimizing inland container shipping through reinforcement learning
Studying Network design in Container linter shipping
Teaching note for vase: Reinventing the container shipping industry
Model-based long-term pricing in maritime container shipping
Model-based long-term pricing in maritime container shipping
A framework for understanding reliability in container shipping networks
Autonomous ships for container shipping in the Arctic routes
Econometric estimation of second-hand shipping markets using panel data analysis
Port investment and container shipping markets: Roundtable summary and conclusions
The Human Element in Container Shipping
The human element in container shipping
CASE: Reinventing the container shipping industry
Optimizing inland container shipping through reinforcement learning
Studying Network design in Container linter shipping
Teaching note for vase: Reinventing the container shipping industry
Model-based long-term pricing in maritime container shipping
Model-based long-term pricing in maritime container shipping
A framework for understanding reliability in container shipping networks
Autonomous ships for container shipping in the Arctic routes
Econometric estimation of second-hand shipping markets using panel data analysis