Decisions, results and application of the Enhanced Transparency Framework

14th virtual exchange session of the Community of Practice for Climate Policy Monitoring and Evaluation.

On Thursday, April 2, the 14th virtual exchange session of the community of practice for climate policy monitoring and evaluation EUROCLIMA+ / FIIAPP was held with the support of the LEDS LAC Platform. The session focused on the Enhanced Transparency Framework of the Paris Agreement, the COP25 agreements, the road to COP26 and the implications for Latin American countries.

As input for the dialogue, presentations were made by Marcelo Rocha of Fábrica Ethica Brasil, Diana Barba, Mitigation and Transparency Advisor of the AILAC Support Unit, and Lorenzo Eguren, Mitigation Coordinator of the General Directorate of Climate Change and Desertification of the Ministry of the Environment of Peru.

THE ENHANCED TRANSPARENCY FRAMEWORK

The Enhanced Transparency Framework (EFT) is the set of rules for countries to report on their progress in implementing their commitments under the Paris Agreement. These rules, while common to all, allow for exceptions or flexibility in their application for those developing countries that so require.

The approval of the tabular formats that will allow the standardisation of the report for all countries is still pending. However, the information contents that must be included in the biennial transparency reports are already known (GHG inventories, progress in NDC implementation, adaptation, support received) and this allows the countries to move forward with internal organisation and needs analysis in order to eventually comply with the stipulations.

To date, different national initiatives for registering mitigation actions have emerged in countries that seek - while involving relevant actors - to consolidate national systems for information to be reported, and to strengthen the components of the system for monitoring, reporting and verification of emissions. In terms of adaptation, the challenge remains to define the most appropriate indicators and M&E systems.

CONCLUSIONS

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