Environmental and Resource Economics

, Volume 53, Issue 1, pp 25–59

Endogenous Fishery Management in a Stochastic Model: Why Do Fishery Agencies Use TACs Along with Fishing Periods?

  • José María Da Rocha
  • María José Gutiérrez

DOI: 10.1007/s10640-012-9546-6

Cite this article as:
Da Rocha, J.M. & Gutiérrez, M.J. Environ Resource Econ (2012) 53: 25. doi:10.1007/s10640-012-9546-6


This paper seeks to explain the circumstances under which using total allowable catch (TAC) as an instrument to manage a fishery along with fishing periods may be of interest from a regulatory point of view. The deterministic analysis by Homans and Wilen (J Environ Econ Manag 32:1–21, 1997) and Anderson (Ann Oper Res 94:231–257, 2000) is thus extended to a stochastic scenario where the resource cannot be measured accurately. The resulting model is solved numerically to find the optimal control rules in the Iberian sardine stock. Three relevant conclusions can be highlighted from simulations: first, the greater the uncertainty regarding the state of the stock, the lower the probability of the fishery being closed before the end of the fishing period. Second, the use of TACs as a management instrument in fisheries that are already regulated by fishing periods leads to: (i) an increase in the optimal season length and harvests, especially for medium and high numbers of licences; (ii) improved biological and economic variables when the fleet is large; and (iii) extinction risk for the resource being eliminated. Third, the regulator would rather select the number of licences than restrict the season length.


Endogenous optimization fisheries models Fishery management under uncertainty 

Mathematics Subject Classification (2000)

91B76 92D25 

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • José María Da Rocha
    • 1
    • 2
  • María José Gutiérrez
    • 3
  1. 1.Universitat Autónoma de BarcelonaBellaterra, Cerdanyola del VallésSpain
  2. 2.RGEA-Universidade de VigoVigoSpain
  3. 3.FAEII and MacLabUniversity of the Basque Country (UPV/EHU)BilbaoSpain

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