Taxonomia Sustentável Brasileira

The report analyzes national and international sustainability taxonomies to propose criteria for the Brazilian Sustainable Taxonomy's land-use sector. It highlights the high sensitivity of sustainable finance measurements to the chosen classification, demonstrating through a rural credit case study that alignment varies from 1% to 44% depending on the reference used. The authors recommend a technical, science-based approach with granular application levels and a gradual implementation roadmap to prevent greenwashing and attract international investment.

• The Brazilian Sustainable Taxonomy is being developed by the Ministry of Finance as part of the Ecological Transformation Plan, with the first version expected by November 2024 and mandatory adoption by January 2026.
• Land-use activities are a priority for the taxonomy because three-quarters of Brazil's greenhouse gas emissions originate from agriculture and land-use changes, primarily deforestation.
• The report proposes ten recommendations for the taxonomy, emphasizing that criteria must be science-based, interoperable with international standards, and applied at a more granular level than the National Classification of Economic Activities (CNAE).
• A case study on rural credit reveals that the proportion of credit aligned with sustainability goals for the 2022/23 agricultural year varies drastically from 1% to 44% depending on the classification reference used.
• The 'Do No Significant Harm' (DNSH) principle presents a challenge in Brazil, as activities might be legally compliant with the Forest Code (allowing some legal deforestation) but still violate the DNSH principle by causing environmental harm.
• The Colombian Green Taxonomy (TVC) is noted for using a non-binary classification system with three levels of intervention—basic, intermediate, and advanced—to facilitate a gradual transition for producers.
• The EU Taxonomy requires that sustainable investments contribute substantially to at least one environmental objective, do no significant harm to others, and meet minimum social and labor safeguards.
• The Mexican Sustainable Taxonomy uses Technical Evaluation Criteria (CET) and a gender equality index as a transversal requirement for an activity to be considered aligned.
• The Febraban Green Taxonomy classifies financial flows at the CNAE subclass level, which the report argues is insufficient for land use because it cannot differentiate between sustainable and non-sustainable practices within the same subclass.
• The report suggests a tiered verification process to reduce costs: automatic eligibility for some projects, remote checking via satellite sensing for others, and in-person verification for a smaller subset of larger properties.

APA

Oliveira, W., Coser, G., de Moura, C. M., & Souza, P. (2024). Taxonomia Sustentável Brasileira. Climate Policy Initiative. https://www.climatepolicyinitiative.org/wp-content/uploads/2024/05/Taxonomia-Sustentavel-Brasileira.pdf

Chicago

Oliveira, Wagner, Gabriela Coser, Carolina Moniz de Moura, and Priscila Souza. Taxonomia Sustentável Brasileira. Climate Policy Initiative, 2024. https://www.climatepolicyinitiative.org/wp-content/uploads/2024/05/Taxonomia-Sustentavel-Brasileira.pdf.

Wikipedia

{{cite report |last1=Oliveira |first1=Wagner |last2=Coser |first2=Gabriela |last3=de Moura |first3=Carolina Moniz |last4=Souza |first4=Priscila |title=Taxonomia Sustentável Brasileira |publisher=Climate Policy Initiative |date=May 2024 |url=https://www.climatepolicyinitiative.org/wp-content/uploads/2024/05/Taxonomia-Sustentavel-Brasileira.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{oliveira2024taxonomia, author = {Oliveira, Wagner and Coser, Gabriela and de Moura, Carolina Moniz and Souza, Priscila}, title = {{Taxonomia Sustentável Brasileira}}, institution = {Climate Policy Initiative}, year = {2024}, month = may, url = {https://www.climatepolicyinitiative.org/wp-content/uploads/2024/05/Taxonomia-Sustentavel-Brasileira.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }