Статьи
CREATIVE INDUSTRY CLUSTERING AS A TOOL FOR ANALYZING STRUCTURAL ECONOMIC MODERNIZATION
Olha Osadcha
National University of Water and Environmental Engineering, Rivne
iD
https://orcid.org/0000-0003-1314-3281
Denys Niedielko
National University of Water and Environmental Engineering, Rivne
iD
https://orcid.org/0009-0003-1054-866X
Ключові слова
creative industries
clustering
cluster analysis
structural economic modernization
creative imperative
knowledge economy
cluster typology
creative clusters
Abstract
The article substantiates the application of creative industry clustering as an analytical tool for studying the processes of structural economic modernization. It is demonstrated that creative industries are characterized by significant internal structural heterogeneity, which cannot be adequately revealed within descriptive or purely sector-based analytical frameworks. The research is grounded in the integration of cluster theory and the concept of the creative imperative, which allows creative industries to be interpreted as structurally significant components of contemporary economic development rather than isolated sectors. A methodological framework for clustering creative industries is developed. In particular, a system of clustering criteria is formulated that combines sectoral affiliation, functional roles within value creation chains, territorial concentration, network interactions, institutional and managerial organization, and human capital characteristics. To ensure analytical operability of the proposed framework, a multidimensional system of indicators is constructed, covering economic, social, innovation, institutional, and network parameters. This system enables cluster analysis under conditions of fragmented and asymmetric national statistical data. Based on the proposed criteria and indicators, a typology of creative industry clusters is identified. The study distinguishes digital-innovation, creative-service, cultural-oriented, and hybrid (hub-oriented) clusters, each characterized by a specific analytical profile. The results demonstrate that cluster types differ in their economic performance, innovation intensity, network connectivity, and institutional maturity. It is shown that these clusters perform differentiated structural functions in economic modernization, including integration into global value chains, support of intersectoral interaction, diversification of economic structures, and enhancement of adaptive capacity. The proposed clustering approach provides an analytical basis for identifying structural asymmetries and development trajectories within the creative sector and may be applied in the design of policies aimed at structural transformation and post-crisis economic development.
Author Biographies
Olha Osadcha, National University of Water and Environmental Engineering, Rivne
Doctor of Economics, Professor
Denys Niedielko, National University of Water and Environmental Engineering, Rivne
Post-graduate Student