Structural analysis and predictive model of regional economic growth in the context of import localization

Authors

  • Marat Safiullin Center for Advanced Economic Research, Academy of Sciences of the Republic of Tatarstan, Russia
  • Leonid Yelshin Kazan (Volga Region) Federal University, Russia; Center for Advanced Economic Research, Academy of Sciences of the Republic of Tatarstan, Russia; TISBI University of Management, Russia
  • Almaz Mingulov Kazan (Volga Region) Federal University, Russia
  • Marat Gafarov Center for Advanced Economic Research, Academy of Sciences of the Republic of Tatarstan, Russia

DOI:

https://doi.org/10.20397/2177-6652/2023.v23i4.2687

Abstract

The article considers the import dependence of the Republic of Tatarstan in the structural context of imported product groups. The methodological basis is a descriptive analysis of empirical data characterizing the commodity structure of imports supplied to the region. Based on the assessments, the authors of the article have determined the bottlenecks that make the Republic of Tatarstan dependent on the import of goods. Economic and mathematical models have been constructed to assess the impact of the most critical imports supplied to the region on its economic sustainability. Furthermore, the study emphasizes the importance of balancing import substitution efforts with economic openness. Tatarstan's integration into global value chains, diversification of supplier countries, and strategies to reduce reliance on critical imports are vital for long-term economic sustainability.

Downloads

Published

2023-12-21

How to Cite

Safiullin, M., Yelshin, L., Mingulov, A., & Gafarov, M. (2023). Structural analysis and predictive model of regional economic growth in the context of import localization. Journal of Management & Technology, 23(4), 176–196. https://doi.org/10.20397/2177-6652/2023.v23i4.2687

Issue

Vol. 23 No. 4 (2023)

Section

ARTIGO

License

Copyright (c) 2023 Journal of Management & Technology

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish with this journal agree to the following terms: • 1. The author(s) authorize the publication of the article in the journal. • 2. The author(s) ensure that the contribution is original and unpublished and is not being evaluated in other journal(s). • 3. The journal is not responsible for the opinions, ideas and concepts expressed in the texts because they are the sole responsibility of the author(s). • 4. The publishers reserve the right to make adjustments and textual adaptation to the norms of APA. • 5. Authors retain copyright and grant the journal right of first publication, with the work [SPECIFY PERIOD OF TIME] after publication simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. • 6. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. • 7. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access) at http://opcit.eprints.org/oacitation-biblio.html