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

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.

Authors

Institutions

Publication Details

Journal
Economic problems and legal practice
Published
2025-09-28
DOI
https://doi.org/10.33693/2541-8025-2025-21-4-121-128
Primary Topic
Economic and Technological Developments in Russia
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

И. В. Трегуб, Maksim S. Dubinsky
Economic problems and legal practice
Economic and Technological Developments in Russia
article

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

И. В. Трегуб, Maksim S. Dubinsky
article en

Abstract

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.

Economic problems and legal practiceVol. 21(4)
Financial University (RU)
Openalex Percentile: Top 47%
Economic and Technological Developments in Russia
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.