INTERNATIONAL TRADE AND BIOLOGICAL INVASIONS: A QUEUING THEORETIC ANALYSIS OF THE PREVENTION PROBLEM
Hamid Beladi and
Amitrajeet Batabyal
No 19912, 2004 Annual meeting, August 1-4, Denver, CO from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)
Abstract:
We propose and develop a new framework for studying the problem of preventing biological invasions caused by ships transporting internationally traded goods between countries and continents. In particular, we apply the methods of queuing theory to analyze the problem of preventing a biological invasion from a long run perspective. First, we characterize two simple regulatory regimes as two different kinds of queues. Second, we show how to pose a publically owned port manager's decision problem as an optimization problem using queuing theoretic techniques. Third, we compare and contrast the optimality conditions emanating from our analysis of the M/M/I/U and the M/M/I/I inspection regimes. We conclude by discussing possible extensions to our basic models.
Keywords: International; Relations/Trade (search for similar items in EconPapers)
Pages: 23
Date: 2004
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://ageconsearch.umn.edu/record/19912/files/sp04ba01.pdf (application/pdf)
Related works:
Journal Article: International trade and biological invasions: A queuing theoretic analysis of the prevention problem (2006) 
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:ags:aaea04:19912
DOI: 10.22004/ag.econ.19912
Access Statistics for this paper
More papers in 2004 Annual meeting, August 1-4, Denver, CO from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().