Search by keyword: intensity of support measures
A METHODOLOGICAL APPROACH TO ASSESSING THE PRODUCTIVITY OF SUPPORT MEASURES FOR CREATIVE INDUSTRIES
Successful development of creative industries is impossible without active government support. At the regional level, support instruments can ensure maximum productivity based on local economic, cultural, and social characteristics. The objective of this study is to develop a methodological approach to assessing the productivity of creative industries support measures and subsequently testing it for cities in the Ural region. The study covered 102 cities in the Sverdlovsk and Chelyabinsk Oblast and Perm Krai. The research database is compiled from open registries of the Federal Tax Service and includes data on small and medium-sized enterprises classified as creative industries and support measures for them for 2019-2025. To assess the productivity of government support measures, the authors used an approach developed by the statistical and analytical method of comparative quartile analysis. This approach allowed to calculate the productivity of each measure, thereby characterizing the response of creative industries in cities to changes in the intensity of a particular support measure. Calculations showed that the productivity of all support measures in the regions under consideration is low and does not significantly impact creative industries development. Creative industries support measures were ranked in descending order of importance: consulting, financial support in the form of subsidies and grants, informational support, and property support. The obtained results allow to re-evaluate the existing measures for supporting small and medium-sized enterprises in the creative industries and make improvements based on local specificities that are crucial for the development of these industries in cities.
Baskakova I. V. i.v.baskakova@urfu.ru
Turgel I. D. i.d.turgel@urfu.ru
Starodubets N. V. n.v.starodubetc@urfu.ru
Derbeneva V. V. v.v.derbeneva@urfu.ru
Keywords: cities of the Ural region intensity of support measures statistical and analytical method of comparative quartile analysis support measures productivity creative economy creative industry
