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Catch shares slow the race to fish

Nature volume 544, pages 223–226 (2017)Cite this article

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Abstract

In fisheries, the tragedy of the commons manifests as a competitive race to fish that compresses fishing seasons, resulting in ecological damage, economic waste, and occupational hazards1,2,3,4,5,6,7,8. Catch shares are hypothesized to halt the race by securing each individual’s right to a portion of the total catch, but there is evidence for this from selected examples only2,9. Here we systematically analyse natural experiments to test whether catch shares reduce racing in 39 US fisheries. We compare each fishery treated with catch shares to an individually matched control before and after the policy change. We estimate an average policy treatment effect in a pooled model and in a meta-analysis that combines separate estimates for each treatment–control pair. Consistent with the theory that market-based management ends the race to fish, we find strong evidence that catch shares extend fishing seasons. This evidence informs the current debate over expanding the use of market-based regulation to other fisheries.

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Figure 1: Season compression before and after catch shares by region.
Figure 2: Average treatment effect for individual fisheries (top 20 fisheries by value).

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References

  1. Costello, C., Gaines, S. D. & Lynham, J. Can catch shares prevent fisheries collapse? Science 321, 1678–1681 (2008)

    Article  ADS  CAS  Google Scholar 

  2. Grafton, R. Q. Individual transferable quotas: theory and practice. Rev. Fish Biol. Fish. 6, 5–20 (1996)

    Article  Google Scholar 

  3. National Research Council. Sharing the Fish: Toward a National Policy on Individual Fishing Quotas (National Academy Press, 1999)

  4. Hilborn, R., Orensanz, J. M. & Parma, A. M. Institutions, incentives and the future of fisheries. Phil. Trans. R. Soc. Lond. B 360, 47–57 (2005)

    Article  Google Scholar 

  5. Grafton, R. Q. et al. Incentive-based approaches to sustainable fisheries. Can. J. Fish. Aquat. Sci. 63, 699–710 (2006)

    Article  Google Scholar 

  6. Essington, T. E. Ecological indicators display reduced variation in North American catch share fisheries. Proc. Natl Acad. Sci. USA 107, 754–759 (2010)

    Article  ADS  CAS  Google Scholar 

  7. Huang, L. & Smith, M. D. The dynamic efficiency costs of common-pool resource exploitation. Am. Econ. Rev. 104, 4071–4103 (2014)

    Article  Google Scholar 

  8. Gordon, H. S. The economic theory of a common-property resource: the fishery. J. Polit. Econ. 62, 124–142 (1954)

    Article  Google Scholar 

  9. Homans, F. R. & Wilen, J. E. A model of regulated open access resource use. J. Environ. Econ. Manage. 32, 1–21 (1997)

    Article  Google Scholar 

  10. Homans, F. R. & Wilen, J. E. Markets and rent dissipation in regulated open access fisheries. J. Environ. Econ. Manage. 49, 381–404 (2005)

    Article  Google Scholar 

  11. Griffith, D. R. The ecological implications of individual fishing quotas and harvest cooperatives. Front. Ecol. Environ 6, 191–198 (2008)

    Article  Google Scholar 

  12. Hilborn, R. Managing fisheries is managing people: what has been learned? Fish Fish. 8, 285–296 (2007)

    Article  Google Scholar 

  13. Smith, M. D. & Wilen, J. E. Heterogeneous and correlated risk preferences in commercial fishermen: the perfect storm dilemma. J. Risk Uncertain. 31, 53–71 (2005)

    Article  Google Scholar 

  14. Pfeiffer, L. & Gratz, T. The effect of rights-based fisheries management on risk taking and fishing safety. Proc. Natl Acad. Sci. USA 113, 2615–2620 (2016)

    Article  ADS  CAS  Google Scholar 

  15. Stavins, R. N. in Handbook of Environmental Economics vol. 1 (eds Mäler, K.-G. & Jeffrey, R. V. ) 355–435 (Elsevier, 2003)

    Article  Google Scholar 

  16. Smith, M. D., Zhang, J. & Coleman, F. C. Effectiveness of marine reserves for large-scale fisheries management. Can. J. Fish. Aquat. Sci. 63, 153–164 (2006)

    Article  Google Scholar 

  17. Hsueh, L. Quasi-experimental evidence on the “rights to fish”: the effects of catch shares on fishermen’s days at sea. J. Assoc. Environ. Resource Econ. http://dx.doi.org/10.1086/691555 (2017)

  18. Scheld, A. M. & Anderson, C. M. Market effects of catch share management: the case of New England multispecies groundfish. ICES J. Mar. Sci. 71, 1835–1845 (2014)

    Article  Google Scholar 

  19. Brinson, A. A. & Thunberg, E. M. Performance of federally managed catch share fisheries in the United States. Fish. Res. 179, 213–223 (2016)

    Article  Google Scholar 

  20. Wilen, J. E. Why fisheries management fails: treating symptoms rather than the cause. Bull. Mar. Sci. 78, 529–546 (2006)

    ADS  Google Scholar 

  21. Tveteras, S., Paredes, C. E. & Peña-Torres, J. Thalassorama: Individual vessel quotas in Peru: stopping the race for anchovies. Mar. Resour. Econ. 26, 225–232 (2011)

    Article  Google Scholar 

  22. Melnychuk, M. C. et al. Can catch share fisheries better track management targets? Fish Fish. 13, 267–290 (2012)

    Article  Google Scholar 

  23. Papke, L. E. Econometric methods for fractional response variables with an application to 401(k) plan participation rates. J. Appl. Econ. 11, 619–632 (1996)

    Article  Google Scholar 

  24. Papke, L. E. & Wooldridge, J. M. Panel data methods for fractional response variables with an application to test pass rates. J. Econom. 145, 121–133 (2008)

    Article  MathSciNet  Google Scholar 

  25. Smith, M. D., Zhang, J. & Coleman, F. C. Econometric modeling of fisheries with complex life histories: avoiding biological management failures. J. Environ. Econ. Manage. 55, 265–280 (2008)

    Article  Google Scholar 

  26. Abbott, J. K., Garber-Yonts, B. & Wilen, J. E. Employment and remuneration effects of IFQs in the Bering Sea/Aleutian Islands crab fisheries. Mar. Resour. Econ. 25, 333–354 (2010)

    Article  Google Scholar 

  27. Bromley, D. W. Perspective: Socioeconomics abdicating responsibility: the deceits of fisheries policy. Fisheries 34, 280–290 (2009)

    Article  Google Scholar 

  28. Kristofersson, D. & Rickertsen, K. Highgrading in quota-regulated fisheries: evidence from the Icelandic cod fishery. Am. J. Agric. Econ. 91, 335–346 (2009)

    Article  Google Scholar 

  29. Kasperski, S. & Holland, D. S. Income diversification and risk for fishermen. Proc. Natl Acad. Sci. USA 110, 2076–2081 (2013)

    Article  ADS  CAS  Google Scholar 

  30. Kroetz, K., Sanchirico, J. N. & Lew, D. K. Efficiency costs of social objectives in tradable permit programs. J. Assoc. Environ. Resour. Econ. 2, 339–366 (2015)

    Google Scholar 

  31. Brinson, A. A . & Thunberg, E. M. The Economic Performance of U.S. Catch Share Programs 160 (National Oceanic and Atmospheric Administration, U.S. Department of Commerce, 2013)

  32. Shadish, W. R ., Cook, T. D. & Campbell, D. T. Experimental and Quasi-Experimental Designs for Generalized Causal Inference (Houghton Mifflin, 2002)

Download references

Acknowledgements

We thank NOAA, NC Sea Grant and ECS Federal for financial support; and J. Agar, C. Anderson, B. Best, R. Curtis, H. Fell, R. Felthoven, A. Haynie, J. Hilger, D. Holland, M. Larkin, J. Lee, M.-Y. Lee, D. Lipton, G. Magnusson, L. Perruso, D. Squires, J. Stephen, S. Stohs, A. Strelcheck, E. Thunberg, M. Travis, and participants at NAAFE, AERE, IIFET and ASSA for comments and data support.

Author information

Authors and Affiliations

  1. Nicholas School of the Environment, Duke University, Durham, 27708, North Carolina, USA

    Anna M. Birkenbach, David J. Kaczan & Martin D. Smith

  2. Sanford School of Public Policy, Duke University, Durham, 27708, North Carolina, USA

    Anna M. Birkenbach & David J. Kaczan

  3. Department of Economics, Duke University, Durham, 27708, North Carolina, USA

    Martin D. Smith

Authors
  1. Anna M. Birkenbach
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  2. David J. Kaczan
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  3. Martin D. Smith
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Contributions

A.M.B., D.J.K. and M.D.S. contributed equally to all parts of this research.

Corresponding author

Correspondence to Martin D. Smith.

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The authors declare no competing financial interests.

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Reviewer Information Nature thanks R. Hilborn and A. Rosenberg for their contribution to the peer review of this work.

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Extended data figures and tables

Extended Data Figure 1 Illustrative representations of season decompressions with similar magnitude to the average Gini coefficient treatment effect (around 0.08–0.09).

A change in Gini coefficient of a particular size may represent one of many possible changes in the distribution. The three examples are roughly equivalent in magnitude and represent changes from landings that are extremely compressed to highly compressed (a), uniformly distributed over three periods to uniformly distributed over four periods (b), and very spread out to completely uniform (c).

Extended Data Figure 2 Average treatment effect for individual fisheries (all fisheries).

Average change in landings Gini coefficient for OLS (a) and fractional logit (b) models. Error bars are 1.96 s.d. around point estimates. Negative point estimates that are significantly different from zero indicate season decompression. Figure includes US catch share fisheries for which sufficient monthly data are available.

Extended Data Table 1 Excluded catch share programs
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Extended Data Table 2 Pooled regressions showing average season decompression across US catch share fisheries, excluding low-quota Pacific rockfishes
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Extended Data Table 3 Meta-analysis showing average season decompression across US catch share fisheries excluding low-quota Pacific rockfishes
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Extended Data Table 4 Meta-analysis showing average season decompression across US catch share fisheries in Alaska
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Extended Data Table 5 Meta-analysis showing average season decompression across US catch share fisheries in the Gulf of Mexico
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Extended Data Table 6 Meta-analysis showing average season decompression across US catch share fisheries in New England and the Mid-Atlantic
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Extended Data Table 7 Meta-analysis showing average season decompression across US catch share fisheries in the Pacific
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Extended Data Table 8 Meta-analysis showing average season decompression across US catch share fisheries in the Pacific (excluding low quota rockfishes)
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Supplementary information

Supplementary Information

This file contains Supplementary Tables 1-6, Supplementary Note 1 and additional references. (PDF 606 kb)

Supplementary Data

This zipped file contains eight Stata (version 11) .do files (code) and two .csv files (data). Seven of the .do files are numbered and can be run sequentially to reproduce results, or the single file “RUN_ALL.do” can be used to automatically run the other seven. The .do files are linked to the .csv files. All files should be downloaded into the same directory for use. (ZIP 178 kb)

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Birkenbach, A., Kaczan, D. & Smith, M. Catch shares slow the race to fish. Nature 544, 223–226 (2017). https://doi.org/10.1038/nature21728

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