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Analysis of Import Dependence and Its Relationship with Regional Economic Development in Russia: The Case of the Volga Federal District; [Анализ импортозависимости и оценка ее взаимосвязи с экономическим развитием регионов (на примере Приволжского федерального округа)1]

Economy of Regions | 2026

Paper Details

Authors: Burganov R.T.; Elshin L.A.; Abdrakhmanova D.R.; Dinmukhametova A.A.

DOI: 10.17059/ekon.reg.2026-1-12

Journal: Economy of Regions

Year: 2026

Publisher: Institute of Economics, Ural Branch of the Russian Academy of Sciences

Document Type: Article

Open Access: All Open Access; Gold Open Access; Green Open Access

Cited by: 0

Abstract

In the context of rising external sanctions, understanding the link between import supply disruptions and regional economic development is increasingly important. To address this task, this article proposes methods for identifying critical imports and constructing a statistical model to assess the degree of dependence between these variables. The study hypothesizes that a statistically significant relationship exists between regional critical imports and indicators of regional economic dynamics under external constraints. The research methodology is based on systematization, grouping, and panel data regression modelling with robust cluster standard errors. The empirical base includes statistical data for regions of the Volga Federal Okrug for 2011–2021. The sample comprises import volumes for 103 Commodity Nomenclature of Foreign Economic Activity (TN VED) codes. The findings reveal the key components that form the conceptual framework for determining critical imports: the role of imports in generating regional value added; the share of imports originating from unfriendly countries; and the classification of imports as final or intermediate goods. The relationship between critical imports and the gross regional product (GRP) of the regions under study is subsequently analysed. The estimated elasticity coefficient for the variable “Volume of critical imports” in the model, controlling for education level, investment, and consumer expenditure, is 0.0326. This relationship is moderate compared to other explanatory variables. A limitation of the study is its reliance on official statistical data, which has been inconsistently published for Russian regional imports since 2022. © Бурганов Р. Т., Ельшин Л. А., Абдрахманова Д. Р., Динмухаметова А. А. Текст. 2026.

Keywords

critical imports; import vulnerability of regions; international supply chains; panel data analysis; sanctions pressure; transformation of foreign markets; transnational logistical gaps