Formation of models of regional economic development through the activities of territorial economic clusters

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The purpose of the research. This article discusses the possibilities of using panel data models to assess the impact of the activities of territorial economic clusters on regional economic development. An overview of theoretical approaches to the formation of panel data and their application in economic analysis is presented. The purpose of the study is to identify the dependence of the economic development of the regions of the Russian Federation on the activities of territorial economic clusters on their territory, which can be described using the proposed approach to assessing the potential of the cluster. Results. As a result of the study, the influence of various factors of cluster activity, such as the volume of goods and services shipped, the number of jobs at participating enterprises and the number of participants in the cluster, on key indicators of regional economic development, in particular the gross regional product, was empirically analyzed; fixed and random effects were estimated to take into account the individual characteristics of the regions of some federal districts and clusters on their territory; Practical recommendations are formulated for the development and implementation of an effective regional policy aimed at supporting and developing territorial economic clusters in order to stimulate economic growth and increase regional competitiveness.

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作者简介

Maksim Dubinsky

Financial University under the Government of the Russian Federation

编辑信件的主要联系方式.
Email: MSDubinskij@fa.ru
SPIN 代码: 6527-3072

Assistant at the Department of Mathematics and Data Analysis, postgraduate student at the Department of Business Informatics, Faculty of Information Technology and Big Data Analysis

俄罗斯联邦, Moscow

Ilona Tregub

Financial University under the Government of the Russian Federation

Email: itregub@fa.ru
ORCID iD: 0000-0001-7329-8344
SPIN 代码: 2192-9453

Dr. Sci. (Econ.), Professor, Professor at the Department of Business Informatics, Faculty of Information Technology and Big Data Analysis

俄罗斯联邦, Moscow

参考

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  7. Tregub I.V., Funtova D.V., Eterskova Ya.S. Analysis of the impact of monetary and economic policy on the GDP growth of the Russian Federation in 2024–2025. Economy. Taxes. Pravo. 2024. Vol. 17, No. 1. Pp. 44–55. doi: 10.26794/1999-849X-2024-17-1-44-55. EDN: BGNPEN.
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2. Fig. 1. Stages of assessment of territorial economic clusters.

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