IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/26178.html
   My bibliography  Save this paper

Choosing techniques or typical subsystems instead? A PhD thesis

Author

Listed:
  • Manoudakis, Kosmas

Abstract

This paper deals with the problem of choosing techniques. When we refer to the problem of choosing techniques, we actually refer to choose from a set of given production processes-techniques -according to a specific criterion- the optimum one. The criteria which are going to be presented are the w-r criterion, the cost minimization criterion, the Bidard’s algorithm and the -so called- John von Neumann’s criterion. Based on the usual neo-Ricardian assumptions for the linear production techniques, we try to figure out whether a comparison of the above techniques is possible according to any of the above criteria. The main conclusion of this paper is that it is impossible in either a neoclassical, or a neo-Ricardian “world” to choose or to rank a technique between others, according to any of the above criteriaeven in the special case of the non decomposable single production techniques. We are confident that it is possible to rank univocally the techniques in the case of corn and charasoffian economies, and of course in an economy a ℓa von Neumann. We conclude that in fact we do not compare or choose techniques but typical systems instead.

Suggested Citation

  • Manoudakis, Kosmas, 2010. "Choosing techniques or typical subsystems instead? A PhD thesis," MPRA Paper 26178, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:26178
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/26178/1/MPRA_paper_26178.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Choice of techniques; Input- Output models; criteria of choice;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

    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:pra:mprapa:26178. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.