Modeling and Analysis of the International Steam Coal Trade
Clemens Haftendorn and
Franziska Holz
The Energy Journal, 2010, vol. Volume 31, issue Number 4, 205-230
Abstract:
Coal continues to play an important role in the global energy sector and with the increase in international trade a global market for steam coal has developed. We investigate market structure and recent price developments with a numerical modeling approach and develop two partial equilibrium models, a quantity based model and a model additionally incorporating energy values. We compare two possible market structure scenarios for the years 2005 and 2006: perfect competition and Cournot competition. Our chief finding is that, for both models, the simulation of perfect competition better fits the observed real market flows and prices. However, we also note that spatial price discrimination and a time lag in the pricing-in of capacity constraints are additional mechanisms in the market. From a modeling perspective, relying only on coal quantities leads to distortions in estimated trade flows, suggesting that an energy-based model is superior.
JEL-codes: F0 (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations: View citations in EconPapers (45)
Downloads: (external link)
http://www.iaee.org/en/publications/ejarticle.aspx?id=2404 (text/html)
Access to full text is restricted to IAEE members and subscribers.
Related works:
Journal Article: Modeling and Analysis of the International Steam Coal Trade (2010) 
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:aen:journl:2010v31-04-a10
Ordering information: This journal article can be ordered from
http://www.iaee.org/en/publications/ejsearch.aspx
Access Statistics for this article
More articles in The Energy Journal from International Association for Energy Economics Contact information at EDIRC.
Bibliographic data for series maintained by David Williams ().