IDEAS home Printed from https://ideas.repec.org/a/ags/joaaec/100516.html
   My bibliography  Save this article

An Empirical Investigation of Interproduct Relationships Between Domestic and Imported Seafood in the U.S

Author

Listed:
  • Lee, Young-Jae
  • Kennedy, P. Lynn

Abstract

This study seeks to identify interproduct relationships between domestic catfish and a representative selection of imported seafood. In doing so, this study uses multivariate cointegration and structural analyses. Multivariate cointegration analysis suggests that six imported seafood product groupings form a common market with domestic catfish. Structural analysis reveals that 1) domestic and imported catfish are net and gross quantity substitutes; 2) domestic catfish and imported seafood are normal goods; 3) six imported seafood products are identified as gross quantity substitutes for domestic catfish; and 4) according to the derived Allais coefficients, interaction intensities of imported seafood for domestic catfish (from greatest to least) are as follows: tuna, shrimp, salmon, tilapia, catfish, and trout.

Suggested Citation

  • Lee, Young-Jae & Kennedy, P. Lynn, 2010. "An Empirical Investigation of Interproduct Relationships Between Domestic and Imported Seafood in the U.S," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(4), pages 1-12, November.
  • Handle: RePEc:ags:joaaec:100516
    DOI: 10.22004/ag.econ.100516
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/100516/files/jaae258.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.100516?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Kehar Singh & Madan M. Dey & Prasanna Surathkal, 2014. "Seasonal and Spatial Variations in Demand for and Elasticities of Fish Products in the United States: An Analysis Based on Market-Level Scanner Data," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(3), pages 343-363, September.
    2. Farha Fatema & Mohammad Monirul Islam, 2020. "Driving Forces of Marine Fisheries and Seafood Export of Bangladesh: Augmented Gravity Model Approach," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 8(2), pages 106-122, June.

    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:ags:joaaec:100516. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/saeaaea.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.