IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-58131-2_2.html
   My bibliography  Save this book chapter

Intuitions About Welfare—Under the Constraint of Computability

In: Keynesian, Sraffian, Computable and Dynamic Economics

Author

Listed:
  • Charlotte Bruun

    (University College of Northern Denmark)

Abstract

There appears to be a growing pressure on businesses to take responsibility for sustainability on a local as well as a global scale. Narrow profit optimization or optimizing shareholder value no longer suffice—other stakeholders in a wide respect need to be considered in decision-making, the argument goes. This demand also holds consequences for economics—in particular for welfare economics that claims to theorize about utilizing resources to the benefit of society without the use of any moral standards or benevolence. Welfare theory started out talking about the wealth of nations but ended up with a recommendation that businesses should just mind their own business. We must ask whether economics can and should assist businesses in their new endeavour to promote sustainability. In answering this question, we identify the confluence of value creation, governance and agent’s behaviour as being of vital importance. Governance must aim to govern the way value creation takes place and the way agents actually behave in real markets. But markets as governors, as described in neoclassical theory, do not appear to be up for the task of helping us understand the function of real markets. We realize this in making a simple requirement that theoretic proofs should be constructive. It turns out that there is not only a bug in the system—there are several uncomputabilities. Therefore, businesses as well as private agents should not neglect the need for moral standards in promoting social welfare, since they could fill the void left by uncomputabilities in “optimal” behaviour.

Suggested Citation

  • Charlotte Bruun, 2021. "Intuitions About Welfare—Under the Constraint of Computability," Springer Books, in: Kumaraswamy Velupillai (ed.), Keynesian, Sraffian, Computable and Dynamic Economics, chapter 2, pages 33-57, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-58131-2_2
    DOI: 10.1007/978-3-030-58131-2_2
    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:978-3-030-58131-2_2. 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.