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ACTORS

Consorcio Amazonia Legal

-15.788353676022
, -47.882929300906
Actor de apoyo:
Consorcio Amazonia Legal
Actor type:
Consortiums or Alliances of organizations
Actor's country of location:
Brazil
It directly promotes the “regenerative” approach (using the term):
No
Actor's website:
Source where the actor was identified:
Functions performed by the actor:
Regulatory framework, Value networks/supply chain
Type of business it supports:
No information
Supporting actor:
Brazil
How do you develop the support function for NARs?
The Interstate Consortium for the Sustainable Development of the Legal Amazon is made up of nine Amazonian states: Acre, Amapá, Amazonas, Mato Grosso, Maranhão, Pará, Rondônia, Roraima and Tocantins. Its mission is to accelerate the sustainable development of the Legal Amazon in an integrated and cooperative manner, taking into account regional opportunities and challenges.

The information presented in the map comes from a review of publicly available secondary sources, mainly from business communication media (websites, social networks). The Consortium is not responsible for the information and veracity of the practices and impacts publicly reported by businesses and support actors in these media.

It is important to consider that businesses at different levels of development and transition are presented here. On the one hand, there are businesses that do not use the term “regenerative”, but that are very close to our understanding of RFB. On the other hand, there are cases that call themselves "regenerative” but, in practice, they don't necessarily align as much to the definition proposed by the Consortium. Even so, it seemed essential to include them in the map, in order to have a general overview of the different types of businesses that in some way approach or appropriate the use of this term.

The actors presented on the map are those who, as part of their activities, are supporting (or supported) regenerative food businesses and their ecosystem, directly or indirectly. Likewise, these actors were identified through a review of publicly available secondary sources (websites, social networks, news, etc.).