DEA-based predictors for estimating fleet size changes when modelling the introduction of rights-based management. Pascoe, S., Hutton, T., van Putten, I., Dennis, D., Skewes, T., Plaganyi, E., & Deng, R. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 230(3):681-687, ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, NOV 1, 2013.
doi  abstract   bibtex   
The introduction of individual transferable quotas (ITQs) into a fishery is going to change not only the amount of catch a fleet can take, but often also changes the fleet structure, particularly if total allowable catches are decreased. This can have an impact on the economic, social and environmental outcomes of fisheries management. Management Strategy Evaluation (MSE) modelling approaches are recognised as the most appropriate method for assessing impacts of management, but these require information as to how fleets may change under different management systems. In this study, we test the applicability of data envelopment analysis (DEA) based performance measures as predictors of how a fishing fleet might change under the introduction of ITQs and also at different levels of quota. In particular, we test the assumption that technical efficiency and capacity utilisation are suitable predictors of which boats are likely to exit the fishery. We also consider scale efficiency as an alternative predictor. We apply the analysis to the Torres Strait tropical rock lobster fishery that is transitioning to an ITQ-based management system for one sector of the fishery. The results indicate that capacity utilisation, technical efficiency and scale efficiency are reasonable indicators of who may remain in the fishery post ITQs. We find that the use of these measures to estimate the impacts of lower quota levels provides consistent fleet size estimates at the aggregate level, but which individual vessels are predicted to exit is dependent on the measure used. Crown Copyright (C) 2013 Published by Elsevier B.V. All rights reserved.
@article{ ISI:000322055400022,
Author = {Pascoe, Sean and Hutton, Trevor and van Putten, Ingrid and Dennis,
   Darren and Skewes, Tim and Plaganyi, Eva and Deng, Roy},
Title = {{DEA-based predictors for estimating fleet size changes when modelling
   the introduction of rights-based management}},
Journal = {{EUROPEAN JOURNAL OF OPERATIONAL RESEARCH}},
Year = {{2013}},
Volume = {{230}},
Number = {{3}},
Pages = {{681-687}},
Month = {{NOV 1}},
Abstract = {{The introduction of individual transferable quotas (ITQs) into a fishery
   is going to change not only the amount of catch a fleet can take, but
   often also changes the fleet structure, particularly if total allowable
   catches are decreased. This can have an impact on the economic, social
   and environmental outcomes of fisheries management. Management Strategy
   Evaluation (MSE) modelling approaches are recognised as the most
   appropriate method for assessing impacts of management, but these
   require information as to how fleets may change under different
   management systems. In this study, we test the applicability of data
   envelopment analysis (DEA) based performance measures as predictors of
   how a fishing fleet might change under the introduction of ITQs and also
   at different levels of quota. In particular, we test the assumption that
   technical efficiency and capacity utilisation are suitable predictors of
   which boats are likely to exit the fishery. We also consider scale
   efficiency as an alternative predictor. We apply the analysis to the
   Torres Strait tropical rock lobster fishery that is transitioning to an
   ITQ-based management system for one sector of the fishery. The results
   indicate that capacity utilisation, technical efficiency and scale
   efficiency are reasonable indicators of who may remain in the fishery
   post ITQs. We find that the use of these measures to estimate the
   impacts of lower quota levels provides consistent fleet size estimates
   at the aggregate level, but which individual vessels are predicted to
   exit is dependent on the measure used. Crown Copyright (C) 2013
   Published by Elsevier B.V. All rights reserved.}},
Publisher = {{ELSEVIER SCIENCE BV}},
Address = {{PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Pascoe, S (Reprint Author), CSIRO Marine \& Atmospher Res, POB 2583, Brisbane, Qld 4001, Australia.
   Pascoe, Sean; Hutton, Trevor; Dennis, Darren; Skewes, Tim; Plaganyi, Eva; Deng, Roy, CSIRO Marine \& Atmospher Res, Brisbane, Qld 4001, Australia.
   Pascoe, Sean; Hutton, Trevor; Dennis, Darren; Skewes, Tim; Plaganyi, Eva; Deng, Roy, Wealth Oceans Flagship, EcoSci Precinct, Brisbane, Qld 4001, Australia.
   van Putten, Ingrid, CSIRO Marine \& Atmospher Res, Hobart, Tas 7001, Australia.
   van Putten, Ingrid, Wealth Oceans Flagship, Hobart, Tas 7001, Australia.}},
DOI = {{10.1016/j.ejor.2013.04.054}},
ISSN = {{0377-2217}},
Keywords = {{Data envelopment analysis; Management strategy evaluation; Fleet
   behaviour; Individual transferable quotas}},
Keywords-Plus = {{DATA ENVELOPMENT ANALYSIS; CAPACITY UTILIZATION; TECHNICAL EFFICIENCY;
   FISHING CAPACITY; TRAWL FLEET; FISHERIES; BEHAVIOR; ENTRY; EXIT;
   INVESTMENT}},
Research-Areas = {{Business \& Economics; Operations Research \& Management Science}},
Web-of-Science-Categories  = {{Management; Operations Research \& Management Science}},
Author-Email = {{sean.pascoe@csiro.au}},
ResearcherID-Numbers = {{Pascoe, Sean/D-9710-2011
   Plaganyi, Eva/C-5130-2011
   Skewes, Timothy/N-9530-2015
   Hutton, Trevor/E-3066-2017}},
ORCID-Numbers = {{Pascoe, Sean/0000-0001-6581-2649
   Plaganyi, Eva/0000-0002-4740-4200
   Skewes, Timothy/0000-0002-8972-6734
   Hutton, Trevor/0000-0002-8747-6196}},
Funding-Acknowledgement = {{CSIRO Wealth from Oceans; AFMA}},
Funding-Text = {{This study was undertaken as part of the joint CSIRO Wealth from Oceans
   and AFMA funded Project ``An Integrated Management Strategy Evaluation
   (MSE) for the Torres Strait tropical rock lobster population{''}. The
   authors would like to thank Vincent Huang (QUT) and the two anonymous
   reviewers for comments on the earlier draft of the paper.}},
Number-of-Cited-References = {{49}},
Times-Cited = {{4}},
Usage-Count-Last-180-days = {{2}},
Usage-Count-Since-2013 = {{41}},
Journal-ISO = {{Eur. J. Oper. Res.}},
Doc-Delivery-Number = {{186PA}},
Unique-ID = {{ISI:000322055400022}},
OA = {{No}},
DA = {{2017-08-17}},
}

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