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 Oy |
Relevant legal entity identifier |
743700PZG5RRF7SA4Q58 |
Name of the crypto-asset |
manta |
Consensus Mechanism |
Manta Network operates with both Layer-1 and Layer-2 components. Its Layer-1 component, Manta Atlantic, is built on the Substrate framework within the Polkadot ecosystem and employs Proof of Stake (PoS) as its consensus mechanism. Validators are chosen based on their staked tokens and are responsible for transaction validation and block production. Manta Atlantic integrates zk-SNARKs for privacy, ensuring transaction data remains confidential. Manta Pacific, the Layer-2 solution, is an Ethereum Layer-2 platform utilizing zkEVM and leveraging Celestia for data availability, offering a scalable environment for Ethereum-native zero-knowledge (ZK) applications. |
Incentive Mechanisms and Applicable Fees |
The incentive structures in Manta Network are tailored to its dual-layer architecture. On Manta Atlantic (Layer-1), users pay transaction fees in the network's native token, compensating validators for their role in maintaining the blockchain and privacy features. On Manta Pacific (Layer-2), gas fees are designed to align with Ethereum standards, supporting the execution of ZK applications while ensuring cost efficiency. Validators and operators are rewarded for their contributions to both security and scalability, maintaining the economic sustainability of Manta's Layer-1 and Layer-2 ecosystems. |
Beginning of the period |
2024-06-09 |
End of the period |
2025-06-09 |
Energy consumption |
183960.00000 (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. |
Renewable energy consumption |
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Energy intensity |
(kWh) |
Scope 1 DLT GHG emissions - Controlled |
(tCO2e/a) |
Scope 2 DLT GHG emissions - Purchased |
(tCO2e/a) |
GHG intensity |
(kgCO2e) |
Key energy sources and methodologies |
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Key GHG sources and methodologies |
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