Management of complex fisheries: lessons learned from a simulation model

10 Citations (Scopus)

Abstract

The purpose of this paper is to demonstrate how fisheries economics management issues or problems can be analyzed by using a complex model based on conventional bioeconomic theory. Complex simulation models contain a number of details that make them suitable for practical management advice, including taking into account the response of the fishermen to implemented management measures. To demonstrate the use of complex management models this paper assesses a number of second best management schemes against a first rank optimum (FRO), an ideal individual transferable quotas (ITQ) system. This is defined as the management scheme which produces the highest net present value over a 25 year period. The assessed management schemes (scenarios) are composed by several measures as used in the Common Fisheries Policy of the European Union for the cod fishery in the Baltic Sea. The scenarios are total allowable catches in combination with entry restrictions, and maximum number of days at sea in combination with entry restrictions. These two scenarios are assessed under assumptions of no cooperative behavior and cooperative behavior, and compliance and noncompliance with various management restrictions. Apart from showing the magnitude of the resource rent, the impact on fleet structure and the adjustment paths is shown. The result is that the resource rent gained from these second best management schemes is lower than FRO, the ideal ITQ system, but may in practice not be so different.
Original languageEnglish
JournalCanadian Journal of Agricultural Economics / Revue canadienne d'agroeconomie
Volume61
Issue number2
Pages (from-to)283-307
Number of pages25
ISSN0008-3976
DOIs
Publication statusPublished - Jun 2013

Fingerprint

Dive into the research topics of 'Management of complex fisheries: lessons learned from a simulation model'. Together they form a unique fingerprint.

Cite this