IDEAS home Printed from https://ideas.repec.org/a/acf/journl/y2020id1431.html
   My bibliography  Save this article

Cluster Approach to Strategic Planning on a Regional Level in the Russian Federation

Author

Listed:
  • R. A. Musaev
  • A. A. Pankratov
  • K. L. Astapov

Abstract

The article aim is to determine the use of the cluster model of economic modernization in the regional Russian Federation socio-economic development strategies. The following tasks are solved within the article framework: identifying the Russian regions for which the cluster development topic is the most significant and relevant; studying the relationship between the regional strategies approval period and the level of cluster terminology used in them; analyzing the relationship of the cluster concept and other currently used approaches, such as industrial cooperation, «smart specialization» and «lean manufacturing». The main research methods: content analysis and correlation analysis. The study shows a high level of cluster approach use in regional strategies, as well as territorial differentiation of the level of cluster concept use by Russian Federation regions.

Suggested Citation

  • R. A. Musaev & A. A. Pankratov & K. L. Astapov, 2020. "Cluster Approach to Strategic Planning on a Regional Level in the Russian Federation," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 11.
  • Handle: RePEc:acf:journl:y:2020:id:1431
    DOI: 10.22394/1726-1139-2020-11-99-118
    as

    Download full text from publisher

    File URL: https://www.acjournal.ru/jour/article/viewFile/1431/1326
    Download Restriction: no

    File URL: https://libkey.io/10.22394/1726-1139-2020-11-99-118?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
    ---><---

    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:acf:journl:y:2020:id:1431. 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: Рнтонова Ð•Ð²Ð³ÐµÐ½Ð¸Ñ Ð’Ð»Ð°Ð´Ð¸Ð¼Ð¸Ñ€Ð¾Ð²Ð½Ð° (email available below). General contact details of provider: https://sziu.ranepa.ru .

    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.