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Simple Adaptive Rules Describe Fishing Behaviour Better than Perfect Rationality in the US West Coast Groundfish Fishery

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  • Carrella, Ernesto
  • Saul, Steven
  • Marshall, Kristin
  • Burgess, Matthew G.
  • Cabral, Reniel B.
  • Bailey, Richard M.
  • Dorsett, Chris
  • Drexler, Michael
  • Madsen, Jens Koed
  • Merkl, Andreas

Abstract

Most bio-economic models in fisheries assume perfectly rational profit-maximizing behaviour by fishing vessels. Here we investigate this assumption empirically. Using a flexible agent-based model of fishing vessels called POSEIDON, we compared predicted fishing patterns to observed patterns in logbook data, that resulted from a wide range of stylized decision-making processes in the U.S. west coast dover sole-thornyhead-sablefish (DTS) fishery, which is managed with tradable quotas (ITQs). We found that observed vessel behaviour was best predicted in the model by simple decision algorithms whereby vessels chose between exploring new fishing grounds and revisiting previous ones based on their and other vessels’ past successes. In contrast, when the model assumed that vessels were perfect profit maximizers, the model substantially overestimated their profits and utilization of quota of rare, constraining species that carry high quota costs, such as yelloweye rockfish. Our results suggest that bounded rationality is an important driver of vessel behaviour in this fishery.

Suggested Citation

  • Carrella, Ernesto & Saul, Steven & Marshall, Kristin & Burgess, Matthew G. & Cabral, Reniel B. & Bailey, Richard M. & Dorsett, Chris & Drexler, Michael & Madsen, Jens Koed & Merkl, Andreas, 2020. "Simple Adaptive Rules Describe Fishing Behaviour Better than Perfect Rationality in the US West Coast Groundfish Fishery," Ecological Economics, Elsevier, vol. 169(C).
    • Handle: RePEc:eee:ecolec:v:169:y:2020:i:c:s0921800918314678
    DOI: 10.1016/j.ecolecon.2019.106449
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    as
    1. Paul Windrum & Giorgio Fagiolo & Alessio Moneta, 2007. "Empirical Validation of Agent-Based Models: Alternatives and Prospects," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-8.
    2. Gao, Lei & Hailu, Atakelty, 2011. "Evaluating the effects of area closure for recreational fishing in a coral reef ecosystem: The benefits of an integrated economic and biophysical modeling," Ecological Economics, Elsevier, vol. 70(10), pages 1735-1745, August.
    3. Matteo Richiardi & Roberto Leombruni & Nicole J. Saam & Michele Sonnessa, 2006. "A Common Protocol for Agent-Based Social Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(1), pages 1-15.
    4. Simon, Herbert A, 1978. "Rationality as Process and as Product of Thought," American Economic Review, American Economic Association, vol. 68(2), pages 1-16, May.
    5. Little, L.R. & McDonald, A.D., 2007. "Simulations of agents in social networks harvesting a resource," Ecological Modelling, Elsevier, vol. 204(3), pages 379-386.
    6. Johan A. Mistiaen & Ivar E. Strand, 2000. "Location Choice of Commercial Fishermen with Heterogeneous Risk Preferences," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(5), pages 1184-1190.
    7. Augusiak, Jacqueline & Van den Brink, Paul J. & Grimm, Volker, 2014. "Merging validation and evaluation of ecological models to ‘evaludation’: A review of terminology and a practical approach," Ecological Modelling, Elsevier, vol. 280(C), pages 117-128.
    8. Steve J. Miller & Robert T. Deacon, 2017. "Protecting Marine Ecosystems: Regulation Versus Market Incentives," Marine Resource Economics, University of Chicago Press, vol. 32(1), pages 83-107.
    9. Michael P. Keane & Kenneth I. Wolpin, 2007. "Exploring The Usefulness Of A Nonrandom Holdout Sample For Model Validation: Welfare Effects On Female Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 48(4), pages 1351-1378, November.
    10. Jennifer Badham & Chipp Jansen & Nigel Shardlow & Thomas French, 2017. "Calibrating with Multiple Criteria: A Demonstration of Dominance," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-11.
    11. C. Haynie, Alan & F. Layton, David, 2010. "An expected profit model for monetizing fishing location choices," Journal of Environmental Economics and Management, Elsevier, vol. 59(2), pages 165-176, March.
    12. Daniel S. Holland, 2016. "Development of the Pacific Groundfish Trawl IFQ Market," Marine Resource Economics, University of Chicago Press, vol. 31(4), pages 453-464.
    13. Abbott, Joshua K. & Wilen, James E., 2011. "Dissecting the tragedy: A spatial model of behavior in the commons," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 386-401.
    14. Robert L. Hicks & Kurt E. Schnier, 2006. "Dynamic Random Utility Modeling: A Monte Carlo Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(4), pages 816-835.
    15. Ernesto Carrella & Richard M. Bailey & Jens Koed Madsen, 2018. "Indirect inference through prediction," Papers 1807.01579, arXiv.org.
    16. John H. Miller, 1998. "Active Nonlinear Tests (ANTs) of Complex Simulation Models," Management Science, INFORMS, vol. 44(6), pages 820-830, June.
    17. Cooper, Rachel & Jarre, Astrid, 2017. "An Agent-based Model of the South African Offshore Hake Trawl Industry: Part II Drivers and Trade-offs in Profit and Risk," Ecological Economics, Elsevier, vol. 142(C), pages 257-267.
    18. Baerenklau, Kenneth A. & Provencher, Bill, 2005. "Static modeling of dynamic recreation behavior: Implications for prediction and welfare estimation," Journal of Environmental Economics and Management, Elsevier, vol. 50(3), pages 617-636, November.
    19. Hutniczak, Barbara & Münch, Angela, 2018. "Fishermen's location choice under spatio-temporal update of expectations," Journal of choice modelling, Elsevier, vol. 28(C), pages 124-136.
    20. Cenek, Martin & Franklin, Maxwell, 2017. "An adaptable agent-based model for guiding multi-species Pacific salmon fisheries management within a SES framework," Ecological Modelling, Elsevier, vol. 360(C), pages 132-149.
    21. James A. Wilson, 1990. "Fishing for Knowledge," Land Economics, University of Wisconsin Press, vol. 66(1), pages 12-29.
    22. Cooper, Rachel & Jarre, Astrid, 2017. "An Agent-based Model of the South African Offshore Hake Trawl Industry: Part I Model Description and Validation," Ecological Economics, Elsevier, vol. 142(C), pages 268-281.
    23. Jule Thober & Birgit Müller & Jürgen Groeneveld & Volker Grimm, 2017. "Agent-Based Modelling of Social-Ecological Systems: Achievements, Challenges, and a Way Forward," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(2), pages 1-8.
    24. Daniel S. Holland & Jon G. Sutinen, 2000. "Location Choice in New England Trawl Fisheries: Old Habits Die Hard," Land Economics, University of Wisconsin Press, vol. 76(1), pages 133-149.
    25. Matthew N. Reimer & Joshua K. Abbott & James E. Wilen, 2017. "Fisheries Production: Management Institutions, Spatial Choice, and the Quest for Policy Invariance," Marine Resource Economics, University of Chicago Press, vol. 32(2), pages 143-168.
    26. Marco A. Janssen, 2009. "Understanding Artificial Anasazi," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-13.
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    Cited by:

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    2. Gómez-Cardona, Santiago & Kammerer, Johannes, 2023. "Impact of Gear Choice on Open Access Fisheries: A Study on Fishery Regimes," Working Papers 0732, University of Heidelberg, Department of Economics.

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