The aim of this study is to identify effective mechanisms for reducing the carbon footprint of leading Russian ferrous metallurgy industrial holdings by integrating cluster concepts, blockchain technology, the carbon market, and the development of predictive models. General scientific methods of analysis and synthesis, systems analysis, and scenario modeling were used in the study. This paper presents a conceptual description of a solution for creating a blockchain-based carbon market within an eco-cluster consolidating the resources of leading Russian ferrous metallurgy industrial holdings. The eco-cluster's structural elements, priority areas, and their characteristics are outlined. A separate element is the blockchain-based carbon market, which is grouped and described in detail by factors highlighting the advantages of a blockchain-based carbon market. Scenarios for the trajectory of carbon intensity and potential capacity of the carbon market are developed, taking into account scaling limitations.
eco-cluster, ferrous metallurgy, carbon market, blockchain, Verhulst model, climate policy, carbon intensity
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