IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/122707.html
   My bibliography  Save this paper

Прогностическая Оценка Устойчивого Развития Импортозависимых Секторов Экономики Региона В Условиях Внешнего Давления
[Forecast assessment of sustainable development of import-dependent sectors of the regional economy under external pressure]

Author

Listed:
  • Elshin, Leonid
  • Mikhalevich, Polina
  • Mingulov, Almaz

Abstract

The aim of the work is to develop and test methodological approaches to the empirical assessment of the prospects for regional economic dynamics in the context of disruption of supply chains of industry imports. The object of the study is one of the most developed regions of Russia - the Republic of Tatarstan. The main results of the study are the discovered patterns that reveal the features of the sensitivity of regional industrial complexes to restrictions in the supply of goods from abroad in the context of sanctions pressure on the national economy of the Russian Federation and the strengthening of secondary sanctions on friendly countries implementing foreign economic activity with residents of Russia

Suggested Citation

  • Elshin, Leonid & Mikhalevich, Polina & Mingulov, Almaz, 2024. "Прогностическая Оценка Устойчивого Развития Импортозависимых Секторов Экономики Региона В Условиях Внешнего Давления [Forecast assessment of sustainable development of import-dependent sectors of t," MPRA Paper 122707, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:122707
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/122707/1/MPRA_paper_122707.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    sanctions pressure; sustainable economic development; region; import dependence; risks; types of economic activity; economic and mathematical modeling; scenario modeling; forecasting;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:122707. 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.