CONCEPTUAL BASIS FOR THE CLASSIFICATION OF CREATIVE INDUSTRIES AND EMPIRICAL ANALYSIS OF THEIR DEVELOPMENT BASED ON TURNOVER DYNAMICS

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Published: Jun 30, 2025

  Iryna Svyshchuk

Abstract

The purpose of the paper is to provide the conceptual basis for the classification of creative industries and to conduct an empirical analysis of their development in Ukraine on the basis of sales volumes in 2010-2022. Methodology. The article provides a critical review of international classification approaches (DCMS, WIPO, UNESCO, UNCTAD) and proposes an author's classification model based on three parameters: the method of economic value creation, the form of the final product, and the type of interaction with the consumer. The empirical analysis is based on statistical data on product sales in eight groups of creative industries, grouped into four categories. The results of the study show significant structural shifts towards digital and technology-oriented sectors. In particular, digital industries showed the highest compound annual growth rate (CAGR – 163.55%), while traditional creative industries remained relatively stable or showed slowing growth rates. This indicates a change in consumer priorities and the growing role of digital platforms, IT solutions and multimedia content in the structure of the creative economy. Practical implications. The proposed classification model can be used for the purposes of strategic planning, improving public policy to support the creative sector and building a modern statistical accounting system. It makes it possible to identify sectors with high growth potential and to increase the efficiency of management decisions in this area. Value / originality. The article offers an authorial approach to the classification of creative industries, taking into account the modern challenges of the digital economy, and combines it with a quantitative analysis of sales volumes. The results obtained provide an analytical basis for further research and application in the design of innovative economic policies.

How to Cite

Svyshchuk, I. (2025). CONCEPTUAL BASIS FOR THE CLASSIFICATION OF CREATIVE INDUSTRIES AND EMPIRICAL ANALYSIS OF THEIR DEVELOPMENT BASED ON TURNOVER DYNAMICS. Three Seas Economic Journal, 6(2), 82-87. https://doi.org/10.30525/2661-5150/2025-2-13
Article views: 20 | PDF Downloads: 8

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Keywords

creative industries, classification, digitalization, economic dynamics, authorial model, development strategy

References

Department for Digital, Culture, Media & Sport (1998). Creative Industries Mapping Document 1998. Available at: https://www.gov.uk/government/publications/creative-industries-mapping-documents-1998

Cabinet of Ministers of Ukraine. Vectors of Economic Development 2030. Available at: https://nes2030.org.ua/docs/doc-vector.pdf

UNCTAD. (2008). Creative Economy Report: The Challenges of Assessing the Creative Economy – Towards Informed Policy-Making. Available at: http://www.unctad.org/en/docs/ditc20082cer_en.pdf

UNESCO. (2006). Understanding Creative Industries: Cultural Statistics for Public-Policy Making. Paris: UNESCO. Available at: https://unesdoc.unesco.org/ark:/48223/pf0000154956

Verkhovna Rada Ukrainy (2019). On approval of types of economic activity belonging to creative industries. Available at: https://zakon.rada.gov.ua/laws/show/265-2019-р#Text

World Intellectual Property Organisation (2003). Guide on Surveying the Economic Contribution of the Copyright-based Industries. Geneva: WIPO. Available at: https://www.wipo.int/edocs/pubdocs/en/copyright/893/wipo_pub_893.pdf