CCQI Launches Expanded Instrument to Rating High quality of Extra Carbon Credit score Kind

CCQI Launches Expanded Instrument to Rating High quality of Extra Carbon Credit score Kind

CCQI Launches Expanded Instrument to Rating High quality of Extra Carbon Credit score Kind

On January 31, the Carbon Credit Quality Initiative (CCQI) launched an expanded version of our free, user-friendly tool to score different types of carbon credits & release new scoring capability to assess of even more carbon credit types, including avoidance of methane emissions from oil and gas flaring, from leaks in natural gas pipelines, & from livestock manure management & large-scale grid-connected solar & wind power generation.

Founded by Environmental Defense Fund, World Wildlife Fund (WWF-US) & Oeko-Institut, the Carbon Credit Quality Initiative (CCQI) provides transparent information on the quality of carbon credits. This enables users to understand what types of carbon credits are more likely to deliver actual emission reductions as well as social & environmental benefits.

Speakers included Pedro Martins Barata, EDF’s Associate Vice President of Carbon Markets, John Holler of World Wildlife Fund, and Lambert Schneider of Oeko Institut. Speakers provided a short demonstration of our expanded tool, presented key findings on quality, & answered questions about carbon credit quality.

Carbon credits must be of high quality to effectively contribute to the global goals of the Paris Agreement. However, not all carbon credits meet these high standards. Transparent & trustworthy information on carbon credit quality can help different stakeholders move the market towards higher quality: Carbon credit buyers & traders can use our scores as part of their due diligence efforts. Carbon crediting programs can use our detailed assessments to improve their rules and methodologies. Project developers can use our findings to design their projects in ways that avoid specific risks.

Moving forward, CCQI seeks to assess more project types & programs to generate as many scores as possible.

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