Methodology for sustainable development of industrial ecosystems

Abstract

The article contains methodological aspects of sustainable development of industrial ecosystems. The relevance of the study is confirmed by the fact that the promotion of inclusive and sustainable industry and further investment in physical infrastructure, innovation and research are essential for long-term economic development. It has been concluded that the COVID-19 pandemic has such destabilizing consequences that it threatens to halt or even reverse progress towards the Sustainable Development Goals. However, a fairly rapid recovery of industry after coping with the coronavirus pandemic is possible, unlike the economy as a whole, which will require a much longer recovery period. The article proposes the architecture of the methodology for the sustainable development of industrial ecosystems, which includes five levels (paradigm, meta-level, ontology, meanings and directly ecosystem level). The paradigm in the study is the super task, the mental model of the transition to a new economy, to a new way of industrial production, to a new thinking. The meta-level of methodology is represented by the principles of sustainable development of industrial ecosystems, theoretical provisions (hypotheses, fundamental approaches, basic theories, laws of development). At the ontological level, the methodology for the sustainable development of industrial ecosystems uses digital twins, basic organizational and managerial mechanisms (procedures, tools, structures). The semantic level includes a conceptual apparatus (glossary), as well as applied theories and concepts of the sustainable development of industrial ecosystems. The ecosystem level of the methodology for sustainable development of industrial ecosystems combines the concepts of economic, ecological and natural-biological systems. The sustainable development of the industrial ecosystem is proposed to be managed at six levels (methodological, ideological, conceptual, modelling, application and technology). The conclusion concluded that an ecosystem-based economic model achieves the highest production efficiency compared to a traditional economy model and a platform-based digital model.