@article{ ISI:000284429600017,
Author = {Da Rocha, Jose-Maria and Cervino, Santiago and Gutierrez, Maria-Jose},
Title = {{An endogenous bioeconomic optimization algorithm to evaluate recovery
   plans: an application to southern hake}},
Journal = {{ICES JOURNAL OF MARINE SCIENCE}},
Year = {{2010}},
Volume = {{67}},
Number = {{9}},
Pages = {{1957-1962}},
Month = {{DEC}},
Abstract = {{Recovery plans were analysed by introducing social and economic
   behaviour and endogenous disinvestment decisions into bioeconomic
   models. Considering these endogenous constraints, a dynamic optimization
   problem was solved to find fishing mortality (F) trajectories that
   maximize discounted profits per vessel, subject to recovery of the stock
   to a spawning-stock biomass (SSB) target in 2015. The algorithm
   developed was used to assess the southern hake recovery plan. Three
   scenarios were analysed: (1) represents the current plan with an annual
   10\% reduction in F; (2) represents the optimum trajectory where profits
   must be positive all along and the SSB target is reached no later than
   2015, and (3) represents the optimum trajectory allowing profits to be
   negative. The results from (3) indicate that if economic and social
   restrictions are not considered a prior condition, the optimum solution
   implies a fleet reduction in 2010 and 2011. Comparing (1) and (2), our
   results suggest that reducing F to 0.30 by 2010 achieves the recovery
   target in 2012, increases the net present profits by 7.7\% relative to
   the current plan, and is compatible with maintaining the current fleet
   size.}},
Publisher = {{OXFORD UNIV PRESS}},
Address = {{GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Da Rocha, JM (Reprint Author), Univ Vigo, Fac CC Econ, Campus Univ Lagoas Marcosende,CP 36200, Vigo 36310, Spain.
   Da Rocha, Jose-Maria, Univ Vigo, Fac CC Econ, Vigo 36310, Spain.
   Cervino, Santiago, Ctr Oceanog Vigo, Inst Espanol Oceanog, Vigo 36200, Spain.
   Gutierrez, Maria-Jose, Univ Pais Vasco UPV EHU, Bilbao 48015, Spain.}},
DOI = {{10.1093/icesjms/fsq116}},
ISSN = {{1054-3139}},
Keywords = {{control in age-structured models; economic assessment; endogenous
   bioeconomic optimization algorithm; fishery management optimization;
   southern hake recovery plan}},
Keywords-Plus = {{NORTH-SEA; AGE ESTIMATION; FISHERIES; GROWTH; STRATEGY; MODELS; STOCK}},
Research-Areas = {{Fisheries; Marine \& Freshwater Biology; Oceanography}},
Web-of-Science-Categories  = {{Fisheries; Marine \& Freshwater Biology; Oceanography}},
Author-Email = {{jmrocha@uvigo.es}},
ResearcherID-Numbers = {{Gutierrez, Maria-Jose/C-1141-2009
   }},
ORCID-Numbers = {{Gutierrez, Maria-Jose/0000-0003-3074-0854
   cervino, santiago/0000-0003-4146-0890}},
Funding-Acknowledgement = {{Spanish Ministry of Education and Science {[}ECO2009-14697-C02-01, 02];
   Basque Government {[}IT-241-07, HM-2009-1-21]; Commission of the
   European Communities}},
Funding-Text = {{We thank Niels Daan, Denis Bailly, Doug Wilson, Sarah Kraak, and the
   participants of the UNCOVER symposium for their comments. Carmen
   Fernandez provided the results from the Bayesian model with discards.
   Financial aid from the Spanish Ministry of Education and Science
   (ECO2009-14697-C02-01 and 02) and the Basque Government (IT-241-07 and
   HM-2009-1-21) is gratefully acknowledged. This study was carried out
   with the financial support from the Commission of the European
   Communities, SSP-4 project ``Understanding the mechanisms of Stock
   Recovery{''}.}},
Number-of-Cited-References = {{30}},
Times-Cited = {{13}},
Usage-Count-Last-180-days = {{0}},
Usage-Count-Since-2013 = {{3}},
Journal-ISO = {{ICES J. Mar. Sci.}},
Doc-Delivery-Number = {{682UX}},
Unique-ID = {{ISI:000284429600017}},
OA = {{No}},
DA = {{2017-08-17}},
}