Cointegration: A tool for Ecosystem-Based Conservation and Management of Fisheries Public Deposited

http://ir.library.oregonstate.edu/concern/conference_proceedings_or_journals/5h73pw94f

Abstract only.

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Species within marine ecosystems are known to be interconnected. This is a result of many factors including predation and competition for resources. Despite this, many fisheries are still managed using a single species framework. This paper uses cointegration analysis to quantify the relationship between different fish species. Cointegration is a method for examining how time series variables that are integrated (e.g., I(0) or long memory fractional) and move together. Using data from Northern Anchovy, Pacific Sardines, and Albacore Tuna off the California coast, a vector error correction model is estimated which shows a statistically significant relationship between anchovy and tuna harvests. Results suggest financial gains from accounting for external effects between these two fisheries and provide an economic justification for ecosystem based management.
Resource Type
Date Available
Date Issued
Citation
  • Fissel, Ben, Richard Carson and Wolfram Schlenker. 2010. Cointegration: A tool for Ecosystem-Based Conservation and Management of Fisheries. In: Proceedings of the Fifteenth Biennial Conference of the International Institute of Fisheries Economics & Trade, July 13-16, 2010, Montpellier, France: Economics of Fish Resources and Aquatic Ecosystems: Balancing Uses, Balancing Costs. Compiled by Ann L. Shriver. International Institute of Fisheries Economics & Trade, Corvallis, Oregon, USA, 2010.
Conference Name
Keyword
Subject
Rights Statement
Funding Statement (additional comments about funding)
Publisher
Peer Reviewed
Language
Replaces
Additional Information
  • description.provenance : Made available in DSpace on 2013-06-12T16:23:27Z (GMT). No. of bitstreams: 1 491.pdf: 21232 bytes, checksum: 89a7b6ca9f85060cfd6749ac6ea760e7 (MD5) Previous issue date: 2010
  • description.provenance : Approved for entry into archive by Philip Vue(vuep@onid.orst.edu) on 2013-06-12T16:23:27Z (GMT) No. of bitstreams: 1 491.pdf: 21232 bytes, checksum: 89a7b6ca9f85060cfd6749ac6ea760e7 (MD5)
  • description.provenance : Submitted by Amy Zhang (zhanga@onid.orst.edu) on 2013-05-23T18:35:59Z No. of bitstreams: 1 491.pdf: 21232 bytes, checksum: 89a7b6ca9f85060cfd6749ac6ea760e7 (MD5)

Relationships

In Administrative Set:
Last modified: 07/14/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items