IDEAS home Printed from https://ideas.repec.org/a/fan/macoma/vhtml10.3280-maco2024-002008.html
   My bibliography  Save this article

Un modello sistemico delle relazioni tra azienda, biodiversit? ed ecosistemi per gestire la performance ambientale

Author

Listed:
  • Lino Cinquini
  • Giacomo Pigatto
  • Andrea Tenucci
  • Niccol? Braico

Abstract

Biodiversity loss and ecosystem collapse are major threats to humankind?s wellbeing and companies are facing increasing attention ? and normative pressure ? to consider their impacts on and dependencies from biodiversity and ecosystems. However, it is not easy to understand the complex relation-ship occurring between business activities, biodiversity, and ecosystems. Therefore, this research constructs a systemic model to comprehend such a re-lationship and breaks it up into simpler and manageable components. The re-search adopts an interventionist methodology in which the researchers under-took a literature review followed by focus groups with experts and companies to co-develop the systemic model. The final model identifies and classifies sixteen types of impacts that companies have on biodiversity grouped into five main drivers: ecosystem use change, over-exploitation, invasive alien species, pollution, and climate change. Moreover, the model identifies and classifies twenty-four ecosystem services grouped into three main categories: provisioning services, maintaining and regulating services, and immaterial and cultural services. This research contributes to management control re-search and practice by proposing a model that could help companies valuing, managing, monitoring, and accounting for a complex phenomenon ? the rela-tionship between companies, biodiversity, and ecosystems ? by breaking it up into simpler, clearer, and more manageable components.

Suggested Citation

  • Lino Cinquini & Giacomo Pigatto & Andrea Tenucci & Niccol? Braico, 2024. "Un modello sistemico delle relazioni tra azienda, biodiversit? ed ecosistemi per gestire la performance ambientale," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2024(2), pages 161-185.
  • Handle: RePEc:fan:macoma:v:html10.3280/maco2024-002008
    as

    Download full text from publisher

    File URL: http://www.francoangeli.it/riviste/Scheda_Rivista.aspx?IDArticolo=76133&Tipo=ArticoloPDF
    Download Restriction: Single articles can be downloaded buying download credits, for info: https://www.francoangeli.it/DownloadCredit
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:fan:macoma:v:html10.3280/maco2024-002008. 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: Stefania Rosato (email available below). General contact details of provider: http://www.francoangeli.it/riviste/sommario.aspx?IDRivista=166 .

    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.