Assessing the Development Potential of Creative Business in Second-Tier Cities
DOI:
https://doi.org/10.17059/ekon.reg.2024-3-5Abstract
By declaring 2021 the year of creative industries, Russia highlighted the importance of this sector at the national level. However, various databases and existing tools are insufficient for a comprehensive assessment of the potential of creative industries. The study aims to establish a methodology for identifying the development potential of creative business and test it on the example of second-tier cities of Siberia and the Urals. The proposed methodology defined three elements of the development potential of creative business: creative potential, capitalisation potential and commercial potential. The study presented an algorithm and a set of assessment indicators, which were integrated with the database of second-tier cities to create a practice-oriented information and analytical tool to support management decision-making in the field of creative business development in cities. Testing of the algorithm in second-tier cities of the Urals and Siberia revealed cities with high potential (having all three elements), such as Berezovsky, Verkhny Ufaley, Verkhnyaya Pyshma (Sverdlovsk oblast), Belovo, Novokuznetsk, Yurga (Kemerovo oblast), and Kopeysk (Chelyabinsk oblast); cities with medium potential (having two elements), including Alapaevsk, Asbest, Zarechny, Sredneuralsk, Myski, Mariinsk, Katav-Ivanovsk, Trekhgorny, Zlatoust, Kyshtym, Biysk, Novoaltaysk, Seversk, Surgut, Uray, Yugorsk; cities with certain elements of the development potential of creative business. In general, a weak correlation between the elements of potential and a low diversity of the creative urban environment prevent cities from capitalizing and commercializing their creative potential. The study proposed to strengthen inter-municipal, intraregional and interregional interactions, as well as to create strategic development documents for creative business. The findings can be used by local authorities and the business community to identify cities with the greatest potential for the development of creative business.
References
Abashkin, V., Gokhberg, L., Eferin, Ya., Ivanova, E., Kutsenko, E., Nechaeva, E., & Tyurchev, K. (2021). Atlas ekonomicheskoy spetsializatsii regionov Rossii [Atlas of Economic Specialisation of Russian Regions]. Moscow: HSE, 264. (In Russ.)
Agafonov, E. D., & Vashchenko, G. V. (2016) Modern Trends in Informatization and Automation of Oil and Gas Industry. Zhurnal Sibirskogo federalnogo universiteta. Tekhnika i tekhnologii [Journal of Siberian Federal University. Engineering & Technologies], 9 (8), 1340–1348. https://doi.org/10.17516/1999-494X-2016-9-8-1340–1348 (In Russ.)
Antonova, I. (2023). Creative reindustrialization: Database as a digital footprint for second-tier cities of the Urals and Siberia. E3S Web of Conferences. EDP Sciences, 435, 03003. https://doi.org/10.1051/e3sconf/202343503003
Antonova, I. S., & Pchelintsev, E. A. (2023). Econometric Modeling of Creative Industries Concentration Process in the Siberian and the Urals Single-Industry Towns. Mathematics, 11 (17), 3704. https://doi.org/10.3390/math11173704
Antonova, I. S., & Pchelintsev, E. A. (2023). Second-tier cities of creative reindustrialization: Search for insights. Vestnik Tomskogo gosudarstvennogo universiteta. Ekonomika [Tomsk State University Journal of Economics], (61), 74-95. https://doi.org/10.17223/19988648/61/6 (In Russ.)
Arabkin, V. V. (2003). Capitalization of territories. Kapitalizatsiya i vidy kapitalov [Capitalization and types of capital]. http://www.shkp.ru/lib/archive/methodologies/kapital/2003 (In Russ.)
Audretsch, D. B., & Keilbach, M. (2005). Entrepreneurship capital and regional growth. Annals of Regional Science, 39, 457–469. https://doi.org/10.1007/s00168-005-0246-9
Bassanini, A., & Scarpetta, S. (2001). Does Human Capital Matter for Growth in OECD Countries? Evidence from Pooled Mean-Group Estimates. OECD Economics Department Working Papers, No. 282. Paris: OECD Publishing, 30.
Boos, V. O., Herman, M. A., Gokhberg, L. M., Kutsenko, E. S., & Ostashchenko, T. V. (2023). Rating of creative regions of Russia. Nauchnyy digest [Scientific digest], (3). https://www.hse.ru/data/2023/11/14/2106798958/Human_Capital_NCMU_Digest_Special_Issue_3_Creative_Regions_11-2023.pdf?ysclid=lucirzrp99912752507 (In Russ.)
Breunig, M., Bradley, P. E., Jahn, M., Kuper, P., Mazroob, N., Rösch, N., Al-Doori, M., Stefanakis, E., & Jadidi, M. (2020). Geospatial Data Management Research: Progress and Future Directions. ISPRS International Journal of Geo-Information, 9 (2), 95. https://doi.org/10.3390/ijgi9020095
Budina, V. I., & Kezhapkina, O. V. (2015). The key position of information and communication technologies as part of the oil company’s projects. Finansovaya analitika: problemy i resheniya [Financial Analytics: Science and Experience], 45 (279), 26-36. (In Russ.)
Burniaux, J. M., Padrini, F., & Brandt, N. (2006). Labour Market Performance, Income Inequality and Poverty in OECD Countries. Economics. Department Working Papers, No. 500. Paris: OECD Publishing, 49. https://doi.org/10.1787/882154447387
Cellini, R., & Cuccia, T. (2019). Do behaviours in cultural markets affect economic resilience? An analysis of Italian regions. European Planning Studies, 27 (4), 784-801. https://doi.org/10.1080/09654313.2019.1568397
Charnes, A. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2 (6), 429-444.
Chertina, E. V., Kvyatkovskaya, I. Yu., & Khomenko, T. V. (2017). Information and analytical system of a regional cluster management of aquaculture and fishery. Vestnik Astrakhanskogo gosudarstvennogo tekhnicheskogo universiteta. Seriya: Upravlenie, vychislitelnaya tekhnika i informatika [Vestnik of Astrakhan State Technical University. Series: management, computer science and informatics], (2), 117-124. https://doi.org/10.24143/2072–9502-2017-2-117-124 (In Russ.)
Erokhina, O. V. (2019). «Growth Points» in the Digital Economy: «Smart City» Projects. Infokommunikatsionnye tekhnologii [Infocommunication technologies], (2), 240-246. (In Russ.)
Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of The Royal Statistical Society, Series A (General), 120 (3), 253-290.
Fomina, S. N., & Dyatlova, K. A. (2019). Creative space as an effective element of youth policy infrastructure. In: Molodezh. Semya. Obshestvo [Youth. Family. Society] (pp. 46–59). Moscow: Perspektiva. (In Russ.)
Gurieva, L. K. (2005). The Theory of Diffusion of Innovations. Innovatsii [Innovations], (4), 22-26 (In Russ.)
He, J. L., & Gebhardt, H. (2014). Space of creative industries: A case study of spatial characteristics of creative clusters in Shanghai. European planning studies, 22 (11), 2351–2368. https://doi.org/10.1080/09654313.2013.837430
Jacobs, J. (1969). Strategies for helping cities. The American Economic Review, 59 (4), 652-656.
Khestanov, R. (2018). Creative Industries — Models of Development. Sociologicheskoe obozrenie [Russian Sociological Review], 17 (3), 173-196. https://doi.org/10.17323/1728-192X-2018-3-173-196 (In Russ.)
Lastochkina, M. A. (2015). Development of methodology and tools for assessing the degree of modernization in Russia’s regions. Problemy razvitiya territorii [Problems of territory’s development], 4 (78), 69-79 (In Russ.)
Lorenzen, M., & Frederiksen L. (2007). Why do cultural industries cluster? Localization, urbanization, products and projects. In: P. Cooke, L. Lazzeretti (Eds.), Creative Cities, Cultural Clusters and Local Economic Development (pp. 155–179). Cheltenham: Edward Elgar.
McNeilly, N. (2018). Cultural and Creative Spillovers in Europe. A Follow-Up Review. The European Research Partnership on Cultural and Creative Spillovers, 71.
Mondejar, M. E., Avtar, R., Diaz, H. L. B., Dubey, R. K., Esteban, J., Gómez-Morales, A., Hallam, B., Mbungu, N. T., Okolo, C. C., Prasad, K. A., She, Q., & Garcia-Segura, S. (2021). Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet. Science of The Total Environment, 794, 148539. https://doi.org/10.1016/j.scitotenv.2021.148539
Ovchinnikova, O. P., & Lyshchikova, Y. V. (2011). Capitalization of the assets of the region: the nature, components, problems. Ekonomika. Informatika [Economics. Information technologies], 19 (13-1), 44-49. (In Russ.)
Panov, P. V. (2018). Database “Political space of the industrial cities of the Urals”. Vestnik Permskogo federalnogo issledovatelskogo centra [Perm Federal Research Centre Journal], (3), 77-82 (In Russ.)
Semyachkov, K. A. (2020). Digital data as a key resource for the smart cities development. Ekonomika, predprinimatelstvo i pravo [Journal of Economics, Entrepreneurship and Law], 10 (12), 3003–3020. https://doi.org/10.18334/epp.10.12.111345 (In Russ.)
Turgel, I. D., Derbeneva, V. V., Baskakova, I. V., & Chukavina, K. V. (2022). Theoretical approaches to identifying creative industries. R-economy, 8 (4), 310-326. https://doi.org/10.15826/recon.2022.8.4.024
Zhuravleva, T., Tokarev, I., & Gai, O. (2021). Atlas kreativnykh industriy Rossiyskoy Federatsii [Atlas of Creative Industries in the Russian Federation]. Moscow: The Agency for Strategic Initiatives. https://100gorodov.ru/creativeindustries (In Russ.)
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Антонова Ирина Сергеевна , Малеева Екатерина Александровна
This work is licensed under a Creative Commons Attribution 4.0 International License.
