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Risk and Sustainability: Assessing Fishery Management Strategies

Author

Listed:
  • Vincent Martinet

    (INRA, UMR210 Economie Publique)

  • Julio Peña-Torres

    (Peña & Sanchez Consultores Ltda)

  • Michel Lara

    (Université Paris-Est)

  • Hector Ramírez C.

    (Universidad de Chile)

Abstract

We develop a theoretical framework to assess the sustainability of fishery management strategies, when the bioeconomic dynamics are marked by uncertainty and several conflicting objectives have to be accounted for. Stochastic viability ranks management strategies according to their probability to sustain economic and ecological outcomes over time. The approach is extended to build stochastic sustainable production possibility frontiers representing the trade-offs between sustainability objectives at any risk level, given the current state of the fishery. This framework is applied to a Chilean fishery faced with El Niño uncertainty. We study the viability of effort and quota strategies when catch and biomass levels have to be sustained. We show that (1) for these sustainability objectives, whatever the level of the outcomes to be sustained, quota-based management results in a better viability probability than effort-based management, and (2) the fishery’s historical quota levels were not sustainable given the stock levels in the early 2000s.

Suggested Citation

  • Vincent Martinet & Julio Peña-Torres & Michel Lara & Hector Ramírez C., 2016. "Risk and Sustainability: Assessing Fishery Management Strategies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 683-707, August.
    • Handle: RePEc:kap:enreec:v:64:y:2016:i:4:d:10.1007_s10640-015-9894-0
    DOI: 10.1007/s10640-015-9894-0
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    References listed on IDEAS

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    Cited by:

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    3. Alvarez, Isabelle & Zaleski, Laetitia & Briot, Jean-Pierre & de A. Irving, Marta, 2023. "Collective management of environmental commons with multiple usages: A guaranteed viability approach," Ecological Modelling, Elsevier, vol. 475(C).
    4. Athanasoglou, Stergios & Bosetti, Valentina & Drouet, Laurent, 2017. "A Simple Framework for Climate-Change Policy under Model Uncertainty," MITP: Mitigation, Innovation and Transformation Pathways 254043, Fondazione Eni Enrico Mattei (FEEM).
    5. Phoebe Koundouri & Georgios I. Papayiannis & Athanasios Yannacopoulos, 2022. "Optimal Control Approaches to Sustainability under Uncertainty," DEOS Working Papers 2215, Athens University of Economics and Business.
    6. Aleksandr Abakumov & Yuri Izrailsky, 2022. "Optimal Harvest Problem for Fish Population—Structural Stabilization," Mathematics, MDPI, vol. 10(6), pages 1-16, March.

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