CHOOSING A MODEL FOR EFFECTIVE MANAGEMENT OF INDUSTRIAL ECOSYSTEMS IN RUSSIA: A NUMERICAL EXPERIMENT

Abstract

Objective: This article introduces conceptual approaches to Russian industrial ecosystems in the context of reindustrialization and import substitution. It addresses the contemporary priority of achieving technological sovereignty in the Russian Federation through industrial policy. The paper's objective is to develop a comprehensive understanding of reindustrialization and import substitution by analyzing their conceptual aspects and their interplay within the context of industrial ecosystems. The study also involves exploring the selection of effective management models for industrial ecosystems. Methods: Comparative analysis is conducted between adaptive and proactive approaches, leading to the development of a generalized scheme for industrial ecosystems. Additionally, the article proposes a mathematical model for managing industrial ecosystems based on homogeneous differential equations. A numerical experiment is conducted to validate the feasibility of the proactive approach. Results: Definitions of reindustrialization and import substitution are provided, their relationships and synergies are elucidated, and a typology for managing industrial ecosystems is outlined. The article presents changes in quantitative and qualitative parameters that describe the dynamics of industrial development. Conclusion: It is concluded that despite proactive approach obvious advantages, its implementation will entail adaptation process, and resources redistribution will inevitably occur. In this regard, state strategically important assets and competencies holders additional monitoring is of key importance.