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DOI: 10.15862/07FAOR425 (https://doi.org/10.15862/07FAOR425)

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Bogonosova I.A., Anichkina O.A., Aliyev A.S. Interregional interaction of innovative clusters: synergistic effects and network models of development. Russian journal of resources, conservation and recycling. 2025; 12(s4). Available at: https://resources.today/PDF/07FAOR425.pdf (in Russian). DOI: 10.15862/07FAOR425

Interregional interaction of innovative clusters: synergistic effects and network models of development

Bogonosova Irina Aleksandrovna
K.G. Razumovsky Moscow State University of Technologies and Management (the First Cossack University),
Moscow, Russia
E-mail: bogonosovaia@mgutm.ru

Anichkina Olga Aleksandrovna
K.G. Razumovsky Moscow State University of Technologies and Management (the First Cossack University),
Moscow, Russia
E-mail: F-1980@yandex.ru

Aliyev Abdullahat Safarali ogly
K.G. Razumovsky Moscow State University of Technologies and Management (the First Cossack University),
Moscow, Russia
E-mail: Abdullahat@mail.ru

Abstract. The modern transformation of economic systems in the context of the global technological revolution and increased interregional competition actualizes the need to study the synergistic effects of interregional interaction of innovative clusters as drivers of economic growth. The subject of the study is the mechanisms of formation of synergistic effects and network models of development in interregional interaction of innovative clusters in the Russian economy. The theoretical and methodological approaches to the analysis of cluster formations are considered through the prism of the concept of the triple helix of Henry Etzkowitz, the theory of network economics and the model of open innovation. An analysis of the evolution of cluster policy in Russia demonstrates a transition from local territorial entities to interregional structures: a significant part of the 64 industrial clusters in 54 regions of Russia included in the register of the Ministry of Industry and Trade in 2024 are interregional entities. Empirical analysis revealed an increase in the innovative activity of enterprises in clusters by 35–45 % compared to the industry average, a decrease in transaction costs by 20–30 %, an increase in labor productivity by 25–40 %. A study of international experience shows various models of interregional interaction — the European model of cross-border clusters with the participation of regions from different EU countries ensures an increase in high-tech exports by 60 %, the Asian model of production chains within ASEAN demonstrates a decrease in logistics costs by 35 %, the American model of innovation hubs ensures the attraction of venture investments in the amount of over 150 billion dollars annually. A model of a four-level architecture of interregional cluster interaction has been developed, including the operational level of production cooperation, the innovative level of joint R&D, the institutional level of policy coordination and the strategic level of ecosystem formation. The key barriers to the development of interregional interaction have been identified: institutional fragmentation of regional management systems, a deficit of coordination mechanisms, differences in the level of technological development of regions with a gap in innovative activity of up to 10 times between leaders and outsiders. Scientific novelty lies in the development of a conceptual model of synergistic effects of interregional cluster interaction and methodological approaches to assessing network effects. Practical significance is determined by the possibility of using the results to improve state cluster policy and develop interregional cooperation.

Keywords: innovation clusters; interregional interaction; synergistic effects; network models; triple helix; cluster policy; production cooperation; technology transfer; regional development; innovation ecosystems; industrial clusters

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