IDEAS home Printed from https://ideas.repec.org/a/aws/omskjl/v16y2022i1p236-243.html
   My bibliography  Save this article

Analysis of the Russian Federation regions interaction in the framework of their innovative development using dynamic Bayesian network

Author

Listed:
  • Pilnik N. B.

    (The Siberian State Automobile and Highway University, Omsk, Russian Federation)

Abstract

The purpose of the study is to analyze the interaction of the Russian Federation regions in the framework of their innovative development using data mining methods. The study used data on the indicator “Goods of own production were shipped, works and services were performed by own forces of an innovative nature since 2017, thousand rubles”. for the period from 2017 to 2021 in a monthly section for 50 regions of the Russian Federation from Rosstat. The identification of dynamic patterns of innovative development of the regions of the Russian Federation was carried out using dynamic Bayesian networks. There were three types of dynamic relationships: 1) the relationship between the regions of the Russian Federation that determine their innovative interaction within one time period; 2) the relationship between the regions of the Russian Federation, their innovative interaction is carried out with a lag effect; 3) the relationship of the internal innovative development of the region taking into account time. Using a dynamic Bayesian network, all types of connections between some regions of the Russian Federation within the framework of their innovative development and interaction are identified. Dynamic connections between the regions of the Russian Federation are predominant, which are implemented without the effect of delay. Only innovatively developed regions of the Russian Federation interact with each other. The interaction of the regions of the Russian Federation has a short-term effect i.e. their mutual influence is carried out either in the current time cycle, or with a lag effect that manifests itself within one month. Insufficient development of the system of interaction between the regions of the Russian Federation within the framework of their innovative development negatively affects the formation of scientific and technical potential of Russia and requires the development of new mechanisms for strategic planning of innovative development of territories.

Suggested Citation

  • Pilnik N. B., 2022. "Analysis of the Russian Federation regions interaction in the framework of their innovative development using dynamic Bayesian network," Russian Journal of Social Sciences and Humanities, Omsk Humanitarian Academy, vol. 16(1), pages 236-243, March.
    • Handle: RePEc:aws:omskjl:v:16:y:2022:i:1:p:236-243
    DOI: 10.17238/issn1998-5320.2022.16.1.26
    as

    Download full text from publisher

    File URL: http://journal.omga.su/wp-content/files/16.1/3.4.pdf
    Download Restriction: no
    File URL: http://journal.omga.su/en/2022/04/08/analysis-of-the-russian-federation-regions-interaction-in-the-framework-of-their-innovative-development-using-dynamic-bayesian-network/
    Download Restriction: no
    File URL: https://libkey.io/10.17238/issn1998-5320.2022.16.1.26?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

    Keywords

    ;
    ;
    ;
    ;

    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:aws:omskjl:v:16:y:2022:i:1:p:236-243. 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: Eremeev Alexander Emmanuilovich (email available below). General contact details of provider: http://journal.omga.su/ .

    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.