Received 29.11.2024, Revised 24.02.2025, Accepted 25.03.2025
The study aimed to analyse the specifics of promoting economic zones and providing business support in industrial clusters. To achieve this goal, a sample of the following objects was created: Frankfurt-Höchst Industrial Park (Germany), North Huntsville Industrial Park (USA), the Industrial Cluster and Knowledge Cluster programmes (Japan) and Shenzhen-Hong Kong-Guangzhou (China). The selected clusters were analysed in terms of information exchange strategies, investment attraction and quality human capital. According to the comparative analysis, the key features of effective cluster promotion are the creation of an extensive information network for interdisciplinary cooperation and information exchange, the attraction of investment in human capital development and investment diversification. A synthetic analysis using SWOT analysis, PEST analysis and Porter’s Five Forces model identified the main obstacles to the effective promotion of economic zones and clusters: shortage of human resources or their poor quality; lack of demand for the products and/or services offered in the region where the cluster operates; insufficient understanding of the context of the cluster’s operation, leading to ineffective strategic decisions. Based on the analysis, the following recommendations were made for the effective promotion of economic zones and clusters in terms of investment, information and human resources policy: transition to intensive investment and human capital development practices; diversification of investments, especially in low-income regions with higher priority state budget expenditure items; preliminary contextual analysis to identify public demand for cluster functioning
contextual analysis; development of cooperation; diversification of financing; sustainable development; capital raising
[1] About Industriepark Höchst. (n.d.). Retrieved from https://chemicalparks.eu/parks/industriepark-hochst.
[2] Aguilar Colmenero, J.L., & Portela Garcia-Miguel, J. (2024). A regionalization approach based on the comparison of different clustering techniques. Applied Sciences, 14(22), article number 10563. doi: 10.3390/app142210563.
[3] Alfazzi, F. (2023). The analysis of challenges and prospects faced by entrepreneurs to ensure sustainable growth of small and medium enterprises. Academic Review, 58(1), 175-186. doi: 10.32342/2074-5354-2023-1-58-13.
[4] Bergantino, A.S., Fusco, G., & Intini, M. (2025). Are special economic zone policies (SEZ) effective? An empirical analysis on the transport and logistics’ sector. Applied Economics. doi: 10.1080/00036846.2025.2450389.
[5] Borunsky, L., Correia, A., Martino, R., Rakic, R., & Ravet, J. (2020). Can R&I save the day? A fair, green and digital recovery from COVID-19. Luxembourg: Publications Office of the European Union.
[6] Chifor, D.C., Maier, L.C., & Arion, F.H. (2024). Empirical insights – mapping the key factors that have an influence on clusters competitiveness. Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Horticulture, 81(1), 31-39. doi: 10.15835/buasvmcn-hort:2024.0010.
[7] Crawford, M. (2024). The attraction of enterprise zones: Tax benefits and incentives for businesses. Retrieved from https://www.areadevelopment.com/siteselection/nov08/enterprise-zones-cost-effective.shtml.
[8] CRE Consulting Corps. (2023). Redevelopment of the meridian corridor. Huntsville: CRE Consulting Corps.
[9] Cui, Y., Niu, Y., Ren, Y., Zhang, S., & Zhao, L. (2024). A model to analyze industrial clusters to measure land use efficiency in China. Land, 13(7), article number 1070. doi: 10.3390/land13071070.
[10] Dance, M., Arafah, W., & Sri Wahyudi, A. (2024). The influence of resources on competitive advantage through clustering in printing companies in JABODETABEK. International Journal of Social Health, 3(2), 163-176. doi: 10.58860/ijsh.v3i2.165.
[11] Frick, S.A., & Rodriguez-Pose, A. (2023). What draws investment to special economic zones? Lessons from developing countries. Regional Studies, 57(11), 2136-2147. doi: 10.1080/00343404.2023.2185218.
[12] Global Innovation Index: China and the US lead the way. (2024). Retrieved from https://news.un.org/ru/story/2024/08/1455701.
[13] Guan, H., Li, Z., & Hu, L. (2020). Evaluation and influence factor analysis on industrial competitiveness of manufacturing industry of Pearl River Delta. IOP Conference Series: Earth and Environmental Science, 598, article number 012003. doi: 10.1088/1755-1315/598/1/012003.
[14] Hasan, R., Chy, A.R., Johora, F.T., Ullah, W., & Saju, A.B. (2024). Driving growth: The integral role of small businesses in the U.S. economic landscape. American Journal of Industrial and Business Management, 14(6), 852-868. doi: 10.4236/ajibm.2024.146043.
[15] Heck, J., Utikal, H., & Leker, J. (2024). Industrial symbiosis as enabler and barrier for defossilization: The case of Höchst Industrial Park. Environmental Technology & Innovation, 36, article number 103850. doi: 10.1016/j.eti.2024.103850.
[16] Hervas-Oliver, J.L., Marquez Garcia, J.A., Garcia-Chamizo, F., & Rojas-Alvarado, R. (2024). Are clusters and industrial districts really driving sustainability innovation? Competitiveness Review, 34(5), 896-915. doi: 10.1108/CR-06-2024-0109.
[17] Hoja, H., Yu, P., & Mohamed, M.M. (2022). Industrial clusters and their role in enhancing the competitiveness of small and medium enterprise-leather and footwear sector in Palestine. American Journal of Industrial and Business Management, 12(10), 1564-1590. doi: 10.4236/ajibm.2022.1210086.
[18] Karimli, I., Azizova, R., Karimov, R., Bayramov, I., & Al Shamsi, A.J. (2024). The reality and prospects of economic development of the South Caucasus region: New approaches to the influence of internal and external economic factors. WSEAS Transactions on Computer Research, 12, 132-142. doi: 10.37394/232018.2024.12.13.
[19] Kim, H., Hwang, S.-J., & Yoon, W. (2023). Industry cluster, organizational diversity, and innovation. International Journal of Innovation Studies, 7(3), 187-195. doi: 10.1016/j.ijis.2023.03.002.
[20] Kim, M., & Chapin, T. (2022). Who benefits from enterprise zones? Policy design choices for strengthening social impacts. Cities, 130, article number 103878. doi: 10.1016/j.cities.2022.103878.
[21] Kolisnichenko, N. (2024). Advantages of clusters in Ukraine’s recovery. Socio-Economic Problems and the State, 2(31), 3-10. doi: 10.33108/sepd2024.02.003.
[22] Komorowski, M. (2020). Identifying industry clusters: A critical analysis of the most commonly used methods. Regional Studies, Regional Science, 7(1), 92-100. doi: 10.1080/21681376.2020.1733436.
[23] Kuwajimi, H. (2022). Japan’s industrial cluster policy. Retrieved from https://www.tokyofoundation.org/research/detail.php?id=897.
[24] Li, C. (2024). Driving growth amidst challenges: China’s economic focus for 2024. Advances in Economic Management and Political Sciences, 87(1), 223-228. doi: 10.54254/2754-1169/87/20241023.
[25] Matsumae, A., Matsumae, S., & Nagai, Y. (2020). Dynamic relationship design of knowledge co-creating cluster: Traditional Japanese architectural industry. SN Applied Sciences, 2, article number 443. doi: 10.1007/s42452-020-2209-2.
[26] McKernan, D., & McDermott, O. (2024). Industrial clusters, creating a strategy for continued success. Heliyon, 10(7), article number e29220. doi: 10.1016/j.heliyon.2024.e29220.
[27] Neumark, D. (2020). Place-based policies: Can we do better than enterprise zones? Journal of Policy Analysis and Management, 39(3), 836-844. doi: 10.1002/pam.22225.
[28] Onikienko, N. (2024). Analytical-applied and organizational-structural support for innovative development processes in agro-construction cluster enterprises. Management of Development of Complex Systems, 59, 208-216. doi: 10.32347/2412-9933.2024.59.208-216.
[29] Pratiwi, A.A., Wessiani, N.A., Suwignjo, P., & Fadli, R. (2024). Industrial cluster design using value chain analysis and diamond Porter’s model (case study in Batik Trusmi Cirebon Center). E3S Web of Conferences, 517, article number 05005. doi: 10.1051/e3sconf/202451705005.
[30] Sadikhov, Sh. (2024). Possibilities of creating clusters in the weaving industry of the Republic of Azerbaijan. Economics, Entrepreneurship, Management, 11(1), 17-24. doi: 10.56318/eem2024.01.017.
[21] Saeed, S.A., Abas, S.R., & Abdulkarim, N.B. (2024). Integration of entrepreneurship and marketing research in modern business. Economic Forum, 14(4), 22-31. doi: 10.62763/cb/4.2024.22.
[32] Sheng, Q., Guo, W., & Zhao, M. (2024). Differentiated paths of regional green development driven by industrial enterprise innovation. Bulletin of the Chinese Academy of Sciences, 38(1), article number 2024001. doi: 10.1051/bcas/2024001.
[33] Teng, Y., Zheng, J., Li, Y., & Wu, D. (2024). Optimizing digital transformation paths for industrial clusters: Insights from a simulation. Technological Forecasting and Social Change, 200, article number 123170. doi: 10.1016/j.techfore.2023.123170.
[34] Trusova, N.V., Cherniavska, T.A., Pasieka, S.R., Hranovska, V.H., Prystemskyi, O.S., & Demko, V.S. (2020a). Innovative clustering of the region in the context of increasing competitive positions of the enterprises of the tourist-recreational destination. Geojournal of Tourism and Geosites, 31(3), 1126-1134. doi: 10.30892/gtg.31326-549.
[35] Trusova, N.V., Kyrylov, Y.Y., Hranovska, V.H., Prystеmskyi, O.S., Krykunova, V.M., & Sakun, A.Z. (2020b). The imperatives of the development of the tourist services market in spatial polarization of the regional tourist system. Geojournal of Tourism and Geosites, 29(2), 565-582. doi: 10.30892/gtg.29215-490.
[36] Xie, J., & Wang, Y. (2024). Does enterprise green innovation contribute to the carbon emission reduction? Evidence from China. Frontiers in Environmental Science, 12, article number 1519258. doi: 10.3389/fenvs.2024.1519258.
[37] Xu, S., Zhong, M., & Wang, Y. (2024). Can innovative industrial clusters enhance urban economic resilience? A quasi-natural experiment based on an innovative pilot policy. Energy Economics, 134, article number 107544. doi: 10.1016/j.eneco.2024.107544.
[38] Zhang, Y., & Chen, K. (2024). The role of industrial clustering: From layoff to self-employment after the Chinese state-owned enterprise reform. Applied Economics Letters. doi: 10.1080/13504851.2024.2332538.