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On the Benefits of Including Age-structure in Harvest Control Rules

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  • Da Rocha, José María
  • Mato Amboage, Rosa

Abstract

This paper explores the benefits of including age-structure in the control rule (HCR) when decision makers regard their (age-structured) models as approximations. We find that introducing age structure into the HCR reduces both the volatility of the spawning biomass and the yield. Although at a fairly imprecise level the benefits are lower, there are still major advantages for actual assessment precision of the case study. Moreover, we find that when age-structure is included in the HCR the relative ranking of different policies in terms of variance in biomass and yield does not differ. These results are shown both theoretically and numerically by applying the model to the Southern Hake fishery.

Suggested Citation

  • Da Rocha, José María & Mato Amboage, Rosa, 2014. "On the Benefits of Including Age-structure in Harvest Control Rules," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
  • Handle: RePEc:ehu:dfaeii:13257
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    References listed on IDEAS

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    1. Gardner Brown, 2000. "Renewable Natural Resource Management and Use Without Markets," Working Papers 0025, University of Washington, Department of Economics.
    2. Wilen, James E., 1985. "Bioeconomics of renewable resource use," Handbook of Natural Resource and Energy Economics, in: A. V. Kneese† & J. L. Sweeney (ed.), Handbook of Natural Resource and Energy Economics, edition 1, volume 1, chapter 2, pages 61-124, Elsevier.
    3. Da Rocha, José María & Gutiérrez Huerta, María José, 2011. "Lessons from the northern hake long-term management plan: Could the economic assessment have accepted it?," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    4. Gardner Brown, 2000. "Renewable Natural Resource Management and Use Without Markets," Discussion Papers in Economics at the University of Washington 0025, Department of Economics at the University of Washington.
    5. Da Rocha, José María & Gutiérrez Huerta, María José & Cerviño, Santiago, 2012. "Reference Points Based on Dynamic Optimisation: A Versatil Algorithm for Mixed Fishery Management with Bio-economic Agestructured Models," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    6. Rognvaldur Hannesson, 1975. "Fishery Dynamics: A North Atlantic Cod Fishery," Canadian Journal of Economics, Canadian Economics Association, vol. 8(2), pages 151-173, May.
    7. Kompas, Tom & Dichmont, Cathy M. & Punt, Andre E. & Deng, A. & Che, Tuong Nhu & Bishop, Janet & Gooday, Peter & Ye, Yemin & Zhou, S., 2010. "Maximizing profits and conserving stocks in the Australian Northern Prawn Fishery," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(3), pages 1-19.
    8. Gardner M. Brown, 2000. "Renewable Natural Resource Management and Use without Markets," Journal of Economic Literature, American Economic Association, vol. 38(4), pages 875-914, December.
    9. Da Rocha, José María & Gutiérrez Huerta, María José & Taboada Antelo, Luis, 2011. "Pulse vs. Optimal Stationary Fishing: The Northern Stock of Hake," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    10. Anders Skonhoft & Niels Vestergaard & Martin Quaas, 2012. "Optimal Harvest in an Age Structured Model with Different Fishing Selectivity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(4), pages 525-544, April.
    11. José-María Da Rocha & María-Jose Gutiérrez & Luis Antelo, 2013. "Selectivity, Pulse Fishing and Endogenous Lifespan in Beverton-Holt Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(1), pages 139-154, January.
    12. Olli Tahvonen & Martin Quaas & Jörn Schmidt & Rudi Voss, 2013. "Optimal Harvesting of an Age-Structured Schooling Fishery," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(1), pages 21-39, January.
    13. Tahvonen, Olli, 2009. "Economics of harvesting age-structured fish populations," Journal of Environmental Economics and Management, Elsevier, vol. 58(3), pages 281-299, November.
    14. Florian Diekert & Dag Hjermann & Eric Nævdal & Nils Stenseth, 2010. "Spare the Young Fish: Optimal Harvesting Policies for North-East Arctic Cod," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(4), pages 455-475, December.
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    Cited by:

    1. Rosa, Renato & Costa, Tiago & Mota, Rui Pedro, 2022. "Incorporating economics into fishery policies: Developing integrated ecological-economics harvest control rules," Ecological Economics, Elsevier, vol. 196(C).
    2. Da-Rocha, Jose-Maria & García-Cutrin, Javier & Gutierrez, Maria Jose, 2016. "Harvesting Control Rules that deal with Scientific Uncertainty," MPRA Paper 72059, University Library of Munich, Germany.

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    Keywords

    management strategy evaluation; harvest control rules; reference points; robustness; risk;
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