IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Data Games : Sharing public goods with exclusion

  • Pierre Dehez
  • Daniela Tellone

A group of firms consider collaborating on a project which requires a combination of elements which are owned by some of them. These elements are nonrival but excludable goods i.e. public goods with exclusion like for instance knowledge, data or informations, patents or copyrights. We address the question of how firms should be compensated for the goods they own. We shown that this problem can be framed as a cost sharing game to which standard allocation rules like the Shapley value, the nucleolus or accountings formulas can be applied and compared. Our analysis is inspired by the need for a cooperation between European chemical firms within the regulation program REACH which requires them to submit by 2018 a detailed analysis of the substances they produce or import.

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" 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.

Paper provided by Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg in its series Working Papers of BETA with number 2009-31.

as
in new window

Length:
Date of creation: 2009
Date of revision:
Handle: RePEc:ulp:sbbeta:2009-31
Contact details of provider: Postal: PEGE. 61, Aven. de la Forêt-Noire 67000 Strasbourg
Phone: +33 3 68 85 20 69
Fax: +33 3 68 85 20 70
Web page: http://www.beta-umr7522.fr/
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Pierre, DEHEZ & Daniela, TELLONE, 2008. "Data games. Sharing public goods with exclusion," Discussion Papers (ECON - Département des Sciences Economiques) 2008010, Université catholique de Louvain, Département des Sciences Economiques.
  2. Thierry Burger-Helmchen & Laurence Frank, 2011. "La création de rentes : une approche par les compétences et capacités dynamiques," Innovations, De Boeck Université, vol. 0(2), pages 89-111.
  3. Sylvain Béal & Marc Deschamps & Joël-Thomas Ravix & Olivier Sautel, 2010. "Les informations exigées par la législation REACH : Analyse du partage des coûts," Revue d'économie politique, Dalloz, vol. 120(6), pages 991-1014.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:ulp:sbbeta:2009-31. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.