IDEAS home Printed from https://ideas.repec.org/a/spr/sorede/v29y2018i6d10.1134_s1075700718060138.html
   My bibliography  Save this article

Quantitative Parameters of Global Value Chains in Macrostructural Forecasting

Author

Listed:
  • A. R. Sayapova

    (Russian Academy of Sciences)

Abstract

This paper examines the role and possibilities of world interindustry models in scenario-analytical studies in terms of prospects of the Russian economy in global value chains. Quantitative parameters of the Russian economy in global value chains are given.

Suggested Citation

  • A. R. Sayapova, 2018. "Quantitative Parameters of Global Value Chains in Macrostructural Forecasting," Studies on Russian Economic Development, Springer, vol. 29(6), pages 617-624, November.
  • Handle: RePEc:spr:sorede:v:29:y:2018:i:6:d:10.1134_s1075700718060138
    DOI: 10.1134/S1075700718060138
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1134/S1075700718060138
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1134/S1075700718060138?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. A. M. Kalinin & S. S. Koroteev & A. A. Krupin & A. V. Nefedov, 2021. "Technological Import Dependence of the Russian Economy: An Assessment Using Input–Output Tables," Studies on Russian Economic Development, Springer, vol. 32(1), pages 52-58, January.
    2. E. V. Lukin, 2022. "Regulation of Interregional Value Chains: Problems of Analysis and Modeling," Studies on Russian Economic Development, Springer, vol. 33(1), pages 11-21, February.

    More about this item

    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:spr:sorede:v:29:y:2018:i:6:d:10.1134_s1075700718060138. 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.