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In the context of global digitalization of the economy, dependence on imported computer technologies poses a threat to national security and sustainable development of countries. This article is dedicated to the development and testing of a new economic-mathematical model, ITC-IDM (Innovation Technology Cluster – Import Dependency Model), aimed at stimulating innovations in the field of computer technologies to eliminate import dependency. The model integrates principles of cluster analysis and methods of dynamic programming to optimize costs for the development of domestic technologies. For the first time, an assessment of the impact of key factors (investments in R&D, workforce qualification, government support) on reducing import dependency is presented. Testing the model on data from the Russian IT industry (2021-2023) demonstrated the potential to reduce imports by 37,42% with an increase in domestic expenditures by 25%. The results have practical significance for shaping state policy in the areas of import substitution and cybersecurity. The analysis of development strategies in the IT sector identified optimal parameters for managing innovation.
Keywords:innovation, computer technologies, import dependency, economic-mathematical model, cluster analysis, dynamic programming, investments in R&D, government support, digital economy, workforce policy, international cooperation, technological sovereignty.
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