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The Norwegian Winter Herring Fishery: A Story of Technological Progress and Stock Collapse

Author

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  • Daniel V. Gordon
  • Rögnvaldur Hannesson

Abstract

In the 1970s, herring stocks in the Northeast Atlantic were nearly fished to extinction. This collapse is usually attributed to technological advances. We investigate the empirical impact of technological shocks on herring stocks. We show evidence that the power block was the principal factor in the demise of the stock. We also look at the sensitivity of catch to stock size and technological shocks. We measure a significant stock effect in the 1950s, contrary to what we expect. A simulation model indicates that this could have been caused by an increasing range of the fishing fleet due to ongoing technological progress.

Suggested Citation

  • Daniel V. Gordon & Rögnvaldur Hannesson, 2015. "The Norwegian Winter Herring Fishery: A Story of Technological Progress and Stock Collapse," Land Economics, University of Wisconsin Press, vol. 91(2), pages 362-385.
    • Handle: RePEc:uwp:landec:v:91:y:2015:i:2:p:362-385
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    Citations

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    Cited by:

    1. Gobillon, Laurent & Wolff, François-Charles, 2020. "The local effects of an innovation: Evidence from the French fish market," Ecological Economics, Elsevier, vol. 171(C).
    2. Anderson, James L. & Asche, Frank & Garlock, Taryn, 2018. "Globalization and commoditization: The transformation of the seafood market," Journal of Commodity Markets, Elsevier, vol. 12(C), pages 2-8.
    3. Martin Quaas & Anders Skonhoft, 2022. "Welfare Effects of Changing Technological Efficency in Regulated Open-Access Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 869-888, August.
    4. Walden, John & Fissel, Ben & Squires, Dale & Vestergaard, Niels, 2015. "Productivity change in commercial fisheries: An introduction to the special issue," Marine Policy, Elsevier, vol. 62(C), pages 289-293.
    5. Sturla Furunes Kvamsdal, 2016. "Technical Change as a Stochastic Trend in a Fisheries Model," Marine Resource Economics, University of Chicago Press, vol. 31(4), pages 403-419.
    6. Eric Nævdal, 2022. "Productivity and Management of Renewable Resources: Why More Efficient Fishing Fleets Should Fish Less," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 409-424, March.
    7. Asche, Frank & Smith, Martin D., 2018. "Viewpoint: Induced Innovation in Fisheries and Aquaculture," Food Policy, Elsevier, vol. 76(C), pages 1-7.
    8. Le Floc'h, Pascal & Merzéréaud, Mathieu & Beckensteiner, Jennifer & Alban, Frédérique & Duhamel, Erwan & Thébaud, Olivier & Wilson, James, 2023. "Explaining technical change and its impacts over the very long term: The case of the Atlantic sardine fishery in France from 1900 to 2017," Research Policy, Elsevier, vol. 52(9).
    9. Hannesson, Rögnvaldur, 2022. "Stock crash and recovery: The Norwegian spring spawning herring," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 45-58.
    10. Williams, Gary W. & Capps, Jr., Oral, 2022. "The apparent conflict of Norwegian pelagic fisheries management and Norwegian seafood council export promotion," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 25(3), February.

    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery

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