IDEAS home Printed from https://ideas.repec.org/a/ags/rdeeag/54592.html
   My bibliography  Save this article

Localização economicamente ótima das novas agroindústrias de abate e processamento de aves e suínos no Brasil

Author

Listed:
  • Andrade, Wendel Sandro de Paula
  • Gomes, Marilia Fernandes Maciel
  • Santos, Heleno do Nascimento
  • Lima, Joao Eustaquio de

Abstract

The objective of this study is to determine the optimum economically location of new slaughter and processing plants of poultry and pork in Brazil, considering the minimization of transportation cost and acquisition of corn and soy bran, and the transportation cost of meat. The theory of localization was used, as theoretical approach, reletead to the weberiana theory of the industrial localization, used, with larger intensity. Network capacited model is used as analytic tool. The main result was the indication of Cândido Mota, SP, for the set the processing plant, due, mainly, a short distance among that municipal district and the corn production cluster and its proximity with important meat consuming areas, and with the main ports. The results indicated: for two plants, Cristalina, GO, and Mafra, SC; for the three plants, the two cities previously mentioned, with the inclusion of Cândido Mota, SP, and for four plants, it is insert Lucas do Rio Verde, MT. It was observed that the minimum medium cost of attendance of meat demand, considering the brazilian internal consumption and the exports, was resultant of to opening of four plants that cost decrease was due to reduction in the distance traveled by the until the consuming markets.

Suggested Citation

  • Andrade, Wendel Sandro de Paula & Gomes, Marilia Fernandes Maciel & Santos, Heleno do Nascimento & Lima, Joao Eustaquio de, 2007. "Localização economicamente ótima das novas agroindústrias de abate e processamento de aves e suínos no Brasil," Revista de Economia e Agronegócio / Brazilian Review of Economics and Agribusiness, Federal University of Vicosa, Department of Agricultural Economics, vol. 5(3), pages 1-21.
  • Handle: RePEc:ags:rdeeag:54592
    DOI: 10.22004/ag.econ.54592
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/54592/files/4_artigo.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.54592?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
    ---><---

    More about this item

    Keywords

    Livestock Production/Industries;

    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:rdeeag:54592. 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/drufvbr.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.