IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-23811-6_12.html
   My bibliography  Save this book chapter

The Water Credit Risk Tool and Corporate Sensitivity to the Shadow Price of Water

In: Water Risk Modeling

Author

Listed:
  • Dieter Gramlich

    (DHBW—Baden-Württemberg Cooperative State University)

  • Henrik Ohlsen

    (VfU—German Association for Environmental Management and Sustainability in Financial Institutions)

Abstract

Due to the rising demand for water and conflicting interests among stakeholders, the price of water will increase in the future. Higher costs and limited availability of water affect the profitability and liquidity of companies. The Water Credit Risk tool developed by the German Society for International Cooperation (GIZ), Natural Capital Declaration (NCD), and German Association for Environmental Management and Sustainability in Financial Institutions (VfU) assesses the shadow price of water (SPW) as the potential future cost of water and models its impact on a company’s income and cash flow. Examining the SPW and its implications for operational and capital expenses provides indications of the companies’ vulnerability to water risk. The effects on financial ratios highlight the need for companies to develop mitigation strategies, and they alert financial investors about opportunities and threats associated with water-related investments. The chapter addresses the SPW-related sensitivity of three selected companies from various industries with respect to changes in their operational structure across time, changes in the SPW between two different points in time, and projections of the SPW into the future. Depending on the company-specific calculation of the SPW and the firms’ business model, the results provide individual sensitivities to water challenges as well as individual potentials to respond.

Suggested Citation

  • Dieter Gramlich & Henrik Ohlsen, 2023. "The Water Credit Risk Tool and Corporate Sensitivity to the Shadow Price of Water," Springer Books, in: Dieter Gramlich & Thomas Walker & Maya Michaeli & Charlotte Esme Frank (ed.), Water Risk Modeling, pages 331-357, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-23811-6_12
    DOI: 10.1007/978-3-031-23811-6_12
    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:sprchp:978-3-031-23811-6_12. 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.