System Analysis of Environmental Effects: A Case of Sustainable Development in the Russian Economy Based on Digital Engineering

The conceptual foundation of this research is the idea of convergence between such development directions of modern production systems as digital design tools and sustainable development. The problem lies in searching for the most effective tools, sources of knowledge, and solutions that contribute to improving ecological well-being, including through the adoption of nature-like technologies. The research aim is to substantiate the role of digital engineering in ensuring sustainable development and to identify priority directions for the development of production systems in the context of Russian realities. Research methods: systems analysis, formalization, comparison, statistical analysis, mathematical modeling were employed. Results: the influence of digital engineering on the sustainable development of production systems and the role of nature-like technologies are substantiated; the convergence of digitalization processes and the concept of sustainable development in the form of the «digital engineering–nature-like technologies» dyad is revealed; patterns of development of Russian production systems in the «design and engineering–environmental aspects of sustainable development» plane are identified; and alternative models for managing the technological development of production systems with a focus on ecological well-being are developed. Scientific novelty of the research: based on multidimensional nonlinear analysis, the importance of the convergence of digital engineering and nature-like technologies is proven, and priority directions for the development of production systems that contribute to achieving sustainable development goals under the policy of import substitution and technological leadership implemented in Russia are identified. The formulated theoretical and methodological provisions advance the field of knowledge in industrial economics and sustainable development and are applicable within the planning and programming of activities for production systems at various levels.