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DEA-based predictors for estimating fleet size changes when modelling the introduction of rights-based management

Author

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  • Pascoe, Sean
  • Hutton, Trevor
  • van Putten, Ingrid
  • Dennis, Darren
  • Skewes, Tim
  • Plagányi, Éva
  • Deng, Roy

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.

Suggested Citation

  • Pascoe, Sean & Hutton, Trevor & van Putten, Ingrid & Dennis, Darren & Skewes, Tim & Plagányi, Éva & Deng, Roy, 2013. "DEA-based predictors for estimating fleet size changes when modelling the introduction of rights-based management," European Journal of Operational Research, Elsevier, vol. 230(3), pages 681-687.
    • Handle: RePEc:eee:ejores:v:230:y:2013:i:3:p:681-687
    DOI: 10.1016/j.ejor.2013.04.054
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    Cited by:

    1. Dowling, Natalie A. & Dichmont, Catherine M. & Leigh, George M. & Pascoe, Sean & Pears, Rachel J. & Roberts, Tom & Breen, Sian & Cannard, Toni & Mamula, Aaron & Mangel, Marc, 2020. "Optimising harvest strategies over multiple objectives and stakeholder preferences," Ecological Modelling, Elsevier, vol. 435(C).
    2. Kristiaan Kerstens & Jafar Sadeghi & Ignace Van de Woestyne, 2019. "Plant Capacity and Attainability: Exploration and Remedies," Operations Research, INFORMS, vol. 67(4), pages 1135-1149, July.
    3. Fukuyama, Hirofumi & Song, Yao-yao & Ren, Xian-tong & Yang, Guo-liang, 2022. "Using a novel DEA-based model to investigate capacity utilization of Chinese firms," Omega, Elsevier, vol. 106(C).
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    5. Fukuyama, Hirofumi & Liu, Hui-hui & Song, Yao-yao & Yang, Guo-liang, 2021. "Measuring the capacity utilization of the 48 largest iron and steel enterprises in China," European Journal of Operational Research, Elsevier, vol. 288(2), pages 648-665.

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