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Regional Economics: Theory and Practice
 

Forecasting estimates of the economic complexity of Russian regions

Vol. 22, Iss. 3, MARCH 2024

Received: 10 July 2023

Received in revised form: 15 September 2023

Accepted: 21 November 2023

Available online: 15 March 2024

Subject Heading: ECONOMIC-MATHEMATICAL MODELING

JEL Classification: C53, D51

Pages: 545–567

https://doi.org/10.24891/re.22.3.545

Mikhail Yu. AFANAS'EV Central Economics and Mathematics Institute of RAS (CEMI RAS), Moscow, Russian Federation
mi.afan@yandex.ru

https://orcid.org/0000-0001-6928-8821

Aleksei A. GUSEV Central Economics and Mathematics Institute of RAS (CEMI RAS), Moscow, Russian Federation
gusevalexeyal@yandex.ru

https://orcid.org/0000-0002-0551-6001

Subject. This article discusses the issues of technological development of Russian regions and their differentiation by economic specialization.
Objectives. The article aims to develop a methodology for analyzing the level of development of the region based on data on the volume of production by sector of the economy and type of economic activity.
Methods. For the study, we used a regression analysis.
Results. The article presents the results of a comparison of indices of economic complexity, built on the basis of data on the volume of production by sector, and indices built on the basis of data on types of economic activity.
Relevance. The developed methodology for assessing the economic potential can be applied at the level of the constituent entities of the Russian Federation when determining the most important areas of economic diversification.

Keywords: regression analysis, regional economy, economic complexity, gross regional product, types of economic activity, diversification

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