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Ragnar Arnason. Enforcement of the Icelandic cod fishery. – A two management control, two enforcement tool fishery –. Preliminary results from the Cobecos Project Presented at the Special Workshop for the EU Commission and EU Fisheries Control Administrations. Bruxelles, December 3, 2008.
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Ragnar Arnason Enforcement of the Icelandic cod fishery – A two management control, two enforcement tool fishery – Preliminary results from the Cobecos Project Presented at the Special Workshop for the EU Commission and EU Fisheries Control Administrations Bruxelles, December 3, 2008
Background • Icelandic cod fishery • Quite sizable(MSY 0.330 m.mt; landed value600-900 m.US$) • Currently depressed(biomass0.7 m.mt.; OSY biomass1.2 m.mt) • Capitalistic fishery- fishers are profit maximizers • About 700 fishing vessels (some multi-purpose) • About 60 landing places • Managed on the basis of ITQs • Individual harvest restrictions • Also area/time/gear restrictions • Quite profitable (quota rental values 2-3 US$/kg)
Enforcement Situation • Enforcement agencies • The Fisheries Directorate (the key agency) • Assisted by the Coast Guard • Two management tools • The quota constraint ─ the key management control • Fishing area/time/gear restrictions ─ mix of controls • Two enforcement tools • Enforcement of harvest or quota • Enforcement of area/time/gear restrictions
Modelling the situation Biomass Fishers’ Benefits Mesh size Harvest Enforcementof mesh size Enforcementof harvest Social Benefits
Functional specifications Fishers’Profit function: Cost coefficient: Biomass growth function:
Functional specifications (cont.) Probability function 1: Probability function 2: Cost of enforcement:
Private benefits Social benefits Benefits from harvest(=0.5)
=1 =0.5 Mesh-size effect on biomass growth(million metric tonnes)
Social benefits Fishers’ benefits Benefits from alpha(Harvest=0.215)
Enforcement of “mesh-size” Enforcement of harvests Probability of penalty Probability of penalty Enforcement effort
Model calculations(to find optimal enforcement mix) • Mathlab-code • (Mathlab: Standard general numerical package) • Have developed a stand-alone Mathlab-code • To be used on all Windows-based computers
Findings • Application of enforcement theory to real fisheries enforcement situations is quite feasible • N actions and M enforcement tools • Data is the main constraint • Benefits of enforcement may be great compared to the costs • Depends on the fishery and the fisheries management system • Optimal enforcement complicated • Few simple rules of thumb
Social benefits Private benefits Private benefits Socialbenefits Figure 3
Sustainble revenues Costs Sustainble benefits Sustainble benefits(=0.1)
=0.5 =1 Private Profit function Fishers would like α=0.5!