Data Analytics for Carbon Asset Circulation: Modeling Verification Reliability, Liquidity Efficiency, and Transaction Transparency in Transition Finance
Main article
Abstract
Transition finance requires credible evidence that carbon-intensive firms are moving along measurable decarbonization pathways rather than merely relabeling ordinary operating activity as sustainable investment. Carbon assets, including verified reduction units and tokenized claims linked to emission performance, are therefore valuable only when their underlying data are reliable, their market circulation is efficient, and their transaction history is transparent. This article develops a data analytics framework for carbon asset circulation that integrates verification reliability modeling, liquidity efficiency assessment, and transaction transparency measurement. Drawing on the research direction of blockchain-supported carbon accounting and asset circulation, the study reframes the problem from a business analytics perspective: carbon assets are treated as data-intensive financial objects whose quality depends on measurement uncertainty, verification latency, registry consistency, demand-depth balance, ownership traceability, and disclosure completeness. A simulated multi-sector dataset covering power generation, manufacturing, logistics, and urban service activities is used to demonstrate the proposed framework. The model produces three interpretable indices: a verification reliability index, a liquidity efficiency index, and a transaction transparency index. Results show that analytics-driven verification improves the stability of carbon asset issuance, reduces latent double-counting exposure, and strengthens decision support for transition finance investors. The article contributes a structured analytical architecture that connects carbon data governance with financial circulation performance, offering a practical pathway for banks, exchanges, project developers, auditors, and regulators seeking to evaluate carbon assets as credible transition finance instruments.
