IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-26284-6_4.html
   My bibliography  Save this book chapter

Technique of Optimal Distribution of Investments in Industrial Cluster Blocks

In: Global Economics and Management: Transition to Economy 4.0

Author

Listed:
  • A. O. Klipin

    (Irkutsk National Research Technical University)

  • G. M. Beregova

    (Irkutsk National Research Technical University)

  • A. F. Schupletsov

    (Baykal State University)

Abstract

In this paper, the authors analyzed the developed methodology for the optimal distribution of public and private investment research in order to obtain the maximum economic effect in a particular block of the industrial clusterIndustrial cluster . We define industrial clusterIndustrial cluster blocks such as “R & D”, “Procurement and Financial Support”, “Production and Technological Activities”, “Staffing Support”, and “Realization of Production equipment” blocks. In this article, we offered methodology for the distribution of investment in blocks of an industrial clusterIndustrial cluster using game theory. In order to determine the investment strategy, a payment matrixPayment matrix was built. In order to confirm the hypothesis to determine the best solutions, we used the classical and derived conformity criteria: Bayesa, Laplace, Sauvage, and Hodge–Lehmann. As a result, we obtained the most optimal investment strategyOptimal investment strategy , which shows the effective distribution of public and private investments in the industrial clusterIndustrial cluster blocks.

Suggested Citation

  • A. O. Klipin & G. M. Beregova & A. F. Schupletsov, 2019. "Technique of Optimal Distribution of Investments in Industrial Cluster Blocks," Springer Proceedings in Business and Economics, in: Mikhail Kaz & Tatiana Ilina & Gennady A. Medvedev (ed.), Global Economics and Management: Transition to Economy 4.0, chapter 0, pages 37-44, Springer.
    • Handle: RePEc:spr:prbchp:978-3-030-26284-6_4
    DOI: 10.1007/978-3-030-26284-6_4
    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:prbchp:978-3-030-26284-6_4. 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.