Reconciling Economic and Biological Modeling of Migratory Fish Stocks:Optimal Management of the Atlantic Salmon Fishery in the Baltic Sea

Soile Kulmala, Marita Laukkanen and Catherine Michielsens

No 11857, Discussion Papers from MTT Agrifood Research Finland

Abstract: The paper puts forward a model of the Atlantic salmon fishery in the Baltic Sea that integrates the salient biological and economic characteristics of migratory fish stocks. Designed to be compatible with the framework used for actual stock assessments, the model accounts for agestructured population dynamics, the seasonal harvest and competing harvesting by commercial and recreational fishermen. It is calibrated using data and parameter estimates for the Simojoki River stock. The socially optimal policy for maximizing discounted net benefits from the fishery within an uncertain environment is determined using a dynamic programming approach and numerical solution method. Our results indicate that substantial economic benefits could be realized under optimal management without compromising stock sustainability.

Keywords: Resource/Energy; Economics; and; Policy (search for similar items in EconPapers)
Pages: 35
Date: 2006
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/11857/files/dp060001.pdf (application/pdf)

Related works:
Journal Article: Reconciling economic and biological modeling of migratory fish stocks: Optimal management of the Atlantic salmon fishery in the Baltic Sea (2008)
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:mttfdp:11857

DOI: 10.22004/ag.econ.11857

Access Statistics for this paper

More papers in Discussion Papers from MTT Agrifood Research Finland Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().