IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-57065-1_29.html
   My bibliography  Save this book chapter

Global Corporate Concentration in Pesticides: Agrochemicals Industry

In: Business Intelligence and Modelling

Author

Listed:
  • Georgia Tsolomyti

    (Hellenic Open University)

  • Anastasios Magoutas

    (Hellenic Open University
    National and Kapodistrian University of Athens)

  • Giannis T. Tsoulfas

    (Hellenic Open University
    Agricultural University of Athens)

Abstract

In the times when world population is increasing while available farmland is decreasing, pesticides have become a necessity guaranteeing food production and enhanced productivity. However, through the years of pesticides use and the advancement in environmental and health sciences many adverse effects in human health and the environment have been revealed forcing for better regulation and control of pesticides marketing and use. This led to the adoption of continuously stricter legal frameworks regarding pesticides all around the world. The more stringent regulations and the demand of substances with environmental friendlier toxicological profile have led also to significant increase in cost and time of development of new compounds. Under the worldwide economic circumstances and the specific to the industry conditions pesticide companies are consolidating expanding to seeds market increasing concerns about the power concentration, the operation of the market and agri-food system. As a measure of corporate concentration in this article we proceed in calculating the concentration indexes of the top 3, 5, and 7 companies and the Herfindahl–Hirschman Index of the top 20 corporations of the sector. The results show the special attention that should be paid to future possible further corporate consolidations.

Suggested Citation

  • Georgia Tsolomyti & Anastasios Magoutas & Giannis T. Tsoulfas, 2021. "Global Corporate Concentration in Pesticides: Agrochemicals Industry," Springer Proceedings in Business and Economics, in: Damianos P. Sakas & Dimitrios K. Nasiopoulos & Yulia Taratuhina (ed.), Business Intelligence and Modelling, pages 289-297, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-57065-1_29
    DOI: 10.1007/978-3-030-57065-1_29
    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:978-3-030-57065-1_29. 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.