IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v95y2013i5p1178-1195.html
   My bibliography  Save this article

An Inverse Demand System for New England Groundfish: Welfare Analysis of the Transition to Catch Share Management

Author

Listed:
  • Min-Yang A. Lee
  • Eric M. Thunberg

Abstract

The welfare effects of the 2010 transition from Days-at-Sea to catch share management in the Northeast U.S. groundfish fishery are examined by combining a model of groundfish demand with a simulation-based model of supply. Counterfactual supply is constructed based on the Days-at-Sea system that was recalibrated to meet mandated conservation goals. Due to the decreases in catch that were required to meet those goals, the 2010 policy undoubtedly resulted in worse outcomes for both producers and consumers compared to 2009. However, the conservation-equivalent Days-at-Sea system would have been far worse for both consumers and producers. Copyright 2013, Oxford University Press.

Suggested Citation

  • Min-Yang A. Lee & Eric M. Thunberg, 2013. "An Inverse Demand System for New England Groundfish: Welfare Analysis of the Transition to Catch Share Management," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(5), pages 1178-1195.
    • Handle: RePEc:oup:ajagec:v:95:y:2013:i:5:p:1178-1195
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aat061
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gabriel Natividad, 2016. "Quotas, Productivity, and Prices: The Case of Anchovy Fishing," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 25(1), pages 220-257, March.
    2. Chris Moore & Charles Griffiths, 2018. "Welfare analysis in a two-stage inverse demand model: an application to harvest changes in the Chesapeake Bay," Empirical Economics, Springer, vol. 55(3), pages 1181-1206, November.
    3. Anna M. Birkenbach & Andreea L. Cojocaru & Frank Asche & Atle G. Guttormsen & Martin D. Smith, 2020. "Seasonal Harvest Patterns in Multispecies Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(3), pages 631-655, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:ajagec:v:95:y:2013:i:5:p:1178-1195. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.