Brazil Policy Center is CPI’s branch in Brazil in partnership with the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), led by Juliano J. Assunção, a professor in the Department of Economics at PUC-Rio. CPI’s work in Brazil combines rigorous economic, institutional and legal analysis to identify areas for improving public policies and provides concrete recommendations on how to reconcile economic development with environmental conservation. CPI supports public policies in Brazil through rigorous analysis and evidence-based research, strategic partnerships with members of the government and civil society through a constructive approach, and direct collaborations with policymakers.
CPI has a long history with regards to conservation policy and land use, having conducted significant research and evaluation of policies related to deforestation and land conservation in the Amazon, becoming an academic reference in the field. CPI combines its institutional knowledge and lens of conservation policy with rigorous economic and legal analysis.
CPI Brazil’s main agendas are:
– Climate Law and Governance
– Land Use and Conservation
– Financial Instruments
– Sustainable Agriculture
The Impacts of Rural Credit on Agricultural Outcomes and Land Use: An Analysis by Credit Lines, Producer Types and Credit Uses
In this work, Climate Policy Initiative (CPI/PUC-RIO) provides a detailed impact analysis of the Brazilian Rural Credit policy on agricultural production, land use and deforestation.
Análise dos pesquisadores do CPI/PUC-Rio mostra que a construção da Ferrogrão incentivará agricultores e pecuaristas localizados no estado do Mato Grosso a ampliarem a produção, aumentando a demanda por terras. Caso nenhuma medida de mitigação seja implementada, isso pode induzir o desmatamento de cerca 2.043 quilômetros quadrados de vegetação nativa em quase quarenta municípios desse estado.
Improving Public Contracting Processes of Socio-Eviromental Studies for Brazil's Land Transportation Projects
In this report, researchers from CPI/PUC-Rio analyze in detail the public contracting process for EVTEA and EIAs for land transport infrastructure projects in the Amazon and reveal: a lack of transparency in the contracting process and a lack of criteria for selection, evaluation and approval of the studies.
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This report provides an overview of the potential for climate finance, green finance and innovative finance to accelerate China’s decarbonization and support its transition to a green economy.
Understanding the impact of rural credit is essential for formulating better agricultural policies in Brazil. In this Insight, researchers from the CPI / PUC-Rio detail the effects of credit in each Brazilian biome.
Where Does Brazil Stand With the Implementation of the Forest Code? An Snapshot of the CAR and the PRA in Brazil's States – 2020 Edition
The report provides a detailed analysis of state regulations and identifies actions underway in the states. It highlights progress made to date and the strategies enacted by states that are farther
ahead, as well as key gaps and challenges, and opportunities to accelerate the implementation of the law.
In this report, researchers from CPI/PUC-Rio provide an in-depth analysis of Brazilian rural credit policy and discuss challenges and recent progress in public policy. The analysis benefits from years of research and discussions with policymakers, the private sector, and academic researchers.
Brazil's Infrastructure Project Life Cycles: From Planning to Viability. Creation of a New Phase May Increase Project Quality
In this brief, researchers from CPI/PUC-Rio and Inter.B collaborated to analyze the instruments available for infrastructure planning – particularly those related to the land transport sector.
In this Whitepaper, researchers from CPI/PUC-Rio highlights the need for the logistics projects’ EVTEA and EIAs to incorporate and correctly identify the indirect effects that result from the changes in transportation costs induced by improvements. It describes how using a combination of geoprocessing tools and statistical analysis can be used to identify these impacts and provides an example of their importance.