ESG (Environmental, Social, and Governance) regulations for crypto assets aim to address their environmental impact (e.g., energy-intensive mining), promote transparency, and ensure ethical governance practices to align the crypto industry with broader sustainability and societal goals. These regulations encourage compliance with standards that mitigate risks and foster trust in digital assets.
| Name |
Coinmotion Ltd |
| Relevant legal entity identifier |
2135881-0 |
| Name of the crypto-asset |
canton |
| Consensus Mechanism |
The Canton Network uses a “proof‑of‑stakeholder” consensus model. Participants who are stakeholders in a given transaction validate that transaction, while a separate synchronization domain (sync domain) sequences transactions and ensures ordering through a Byzantine Fault Tolerant protocol in its decentralized mode. |
| Incentive Mechanisms and Applicable Fees |
Fees paid in the network’s native token are burned, while new tokens are minted as rewards based on participants’ contribution to network utility. Rewards are allocated across infrastructure providers, application builders, and users in line with their roles and the value they bring to the network. |
| Beginning of the period |
2025-05-25 |
| End of the period |
2026-05-25 |
| Energy consumption |
184222.80000 (kWh/a) |
| Energy consumption resources and methodologies |
For the calculation of energy consumptions, the so called 'bottom-up' approach is being used. The nodes are considered to be the central factor for the energy consumption of the network. These assumptions are made on the basis of empirical findings through the use of public information sites, open-source crawlers and crawlers developed in-house. The main determinants for estimating the hardware used within the network are the requirements for operating the client software. The energy consumption of the hardware devices was measured in certified test laboratories. When calculating the energy consumption, we used - if available - the Functionally Fungible Group Digital Token Identifier (FFG DTI) to determine all implementations of the asset of question in scope and we update the mappings regulary, based on data of the Digital Token Identifier Foundation. The information regarding the hardware used and the number of participants in the network is based on assumptions that are verified with best effort using empirical data. In general, participants are assumed to be largely economically rational. As a precautionary principle, we make assumptions on the conservative side when in doubt, i.e. making higher estimates for the adverse impacts. |
| Renewable energy consumption |
0% |
| Energy intensity |
0 (kWh) |
| Scope 1 DLT GHG emissions - Controlled |
0 (tCO2e/a) |
| Scope 2 DLT GHG emissions - Purchased |
0 (tCO2e/a) |
| GHG intensity |
0 (kgCO2e) |
| Key energy sources and methodologies |
|
| Key GHG sources and methodologies |
|