Development of ocean carriers' behaviour model focusing on their 'cost and tariff' based on the spatial general equilibrium
Kazuhiko Ishiguro and
Hajime Inamura
Maritime Policy & Management, 2001, vol. 28, issue 3, 251-264
Abstract:
Spatial computable general equilibrium (SCGE) theory has been applied to an international trade model to evaluate tariff and fiscal policies of a country. Those models can not be applied for the evaluation of transport policies such as port development and tax/subsidy policy against transportation sectors, since they do not deal with ocean freight and ocean carriers explicitly in the model. Ocean freight often varies with the changes of competitive conditions and/or demand/ supply balances in the short run, while it should reflect the actual expenditure of the carriers in the long run. The model proposed here considers the profit maximization behaviour of ocean carriers, and deals with ocean freight explicitly. The model is applied to four major economic regions; Japan, USA, EU and Asia. A multi-level function composed of the Cobb-Douglas function is adopted to produce reliable parameters of the production function for many industries.
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03088830110060822 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:marpmg:v:28:y:2001:i:3:p:251-264
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TMPM20
DOI: 10.1080/03088830110060822
Access Statistics for this article
Maritime Policy & Management is currently edited by Dr Kevin Li and Heather Leggate McLaughlin
More articles in Maritime Policy & Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().