A Cross Sectional Study of Freight Transport Demand and Rail-Truck Competition in Canada
Tae Hoon Oum
Bell Journal of Economics, 1979, vol. 10, issue 2, 463-482
Abstract:
This article derives a rail-truck freight demand model that is consistent with the economic theory of modal choice in the price-speed-reliability space. The translog model is estimated from the cross sectional data of Canadian interregional freight flows for the eight selected commodities. Major empirical findings are: (i) The quality attributes of service significantly influence modal choice only for the relatively high-value commodities. (ii) Both the price and quality elasticities of demand and the elasticity of rail-truck substitution vary substantially from route to route as well as from commodity to commodity. This implies that CES models including Cobb-Douglas form should not be used for freight demand studies. (iii) For the relatively high-value commodities, short-haul traffic is largely dominated by the truck mode, and significant rail-truck competition exists only in the medium and long-haul markets. (iv) For the relatively low-value commodities, effective rail-truck competition exists only in the short-haul markets. Hence, the medium and long-haul markets are largely rail-dominated.
Date: 1979
References: Add references at CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
http://links.jstor.org/sici?sici=0361-915X%2819792 ... O%3B2-C&origin=repec full text (application/pdf)
Access to full text is restricted to JSTOR subscribers. See http://www.jstor.org for details.
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:rje:bellje:v:10:y:1979:i:autumn:p:463-482
Ordering information: This journal article can be ordered from
https://editorialexp ... i-bin/rje_online.cgi
Access Statistics for this article
More articles in Bell Journal of Economics from The RAND Corporation
Bibliographic data for series maintained by ().