IDEAS home Printed from https://ideas.repec.org/p/ags/aaea07/9706.html
   My bibliography  Save this paper

Location Determinants of Food Manufacturing Investment: Are Non-metropolitan Counties Competitive?

Author

Listed:
  • Lambert, Dayton M.
  • McNamara, Kevin T.
  • Beeler, Megan I.

Abstract

Food manufacturing site selection is determined by infrastructure, agglomeration, product and input markets, labor markets, and fiscal attributes of local communities. This article examines how these factors influence location decisions across the rural-urban continuum in the lower forty-eight states of the U.S. Negative binomial regression and spatial clustering methods are used to forecast new food processor location patterns at the county level, 2000-2004. Remote rural areas are at a comparative disadvantage with respect to attracting food processors, but non-metropolitan counties with economic links to urban core areas may be attractive investment sites for footloose, supply, and demand-oriented food manufacturers.

Suggested Citation

  • Lambert, Dayton M. & McNamara, Kevin T. & Beeler, Megan I., 2007. "Location Determinants of Food Manufacturing Investment: Are Non-metropolitan Counties Competitive?," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 9706, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea07:9706
    DOI: 10.22004/ag.econ.9706
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/9706/files/sp07la01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.9706?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. Register, D. Lane & Lambert, Dayton M. & English, Burton C. & Jensen, Kimberly L. & Menard, R. Jamey & Wilcox, Michael D., 2012. "Geographical Analysis of US Green Sector Industry Concentration," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119742, Southern Agricultural Economics Association.
    2. Schmit, Todd M. & Park, Kristen S. & Henehan, Brian M. & Hall, Jeffrey, 2012. "A Study of Food and Beverage Manufacturing in New York State," EB Series 186544, Cornell University, Department of Applied Economics and Management.

    More about this item

    Keywords

    Community/Rural/Urban Development;

    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:ags:aaea07:9706. 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/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.