IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-38253-7_43.html
   My bibliography  Save this book chapter

Mathematical Modeling of the Brewery Sector in Greece with the Use of Differential Equations

In: Advances in Cross-Section Data Methods in Applied Economic Research

Author

Listed:
  • Z. Kalogiratou

    (University of Western Macedonia)

  • Th. Monovasilis

    (University of Western Macedonia)

  • N. Tsounis

    (University of Western Macedonia)

  • G. Bertsatos

    (University of Western Macedonia
    University of Western Macedonia)

  • S. Moustakli

    (University of Western Macedonia
    University of Western Macedonia)

Abstract

Computational biologyKalogiratou, Z. models of the Volterra–Lotka family, known as competing species models, are used for modeling anMonovasilis, Th. oligopoly market, with applicationTsounis, N. to the brewery sector in Greece. Parameter estimation with nonlinear least squaresBertsatos, G. is performed. The findings show the company with the larger market share is experiencing a strong competitionMoustakli, S. from all the other companies of the sector; the coefficient is negative and its value is −0.59. However, the coefficient for the “rest of the companies” in the sector has a positive sign although its value is small, about 0.07. This indicates that smaller companies of the sector benefited by the increase of sales of the first company maybe because they are targeting consumers with different tastes offering a completely differentiated product.

Suggested Citation

  • Z. Kalogiratou & Th. Monovasilis & N. Tsounis & G. Bertsatos & S. Moustakli, 2020. "Mathematical Modeling of the Brewery Sector in Greece with the Use of Differential Equations," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Cross-Section Data Methods in Applied Economic Research, chapter 0, pages 651-659, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-38253-7_43
    DOI: 10.1007/978-3-030-38253-7_43
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-030-38253-7_43. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.