Effectiveness of a REDD+ Project in Reducing Deforestation in the Brazilian Amazon

Simonet, Guillaume; Subervie, Julie; Ezzine‐de‐Blas, Driss; Cromberg, Marina; Duchelle, A.E.

doi:10.1093/ajae/aay028

Cited by 76 publications

(56 citation statements)

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“…On the positive side, the results above imply that, whenever the right preconditions exist, or can be created, land-use conditional incentives can be an important component in complex policy mixes. The sample features cases where conditional incentives were applied quite successfully with respect to environmental impacts (e.g., Simonet et al, 2018b). The use of conditional incentives was endorsed as both well-performing and promising by project implementers and households alike.…”

Section: Perspectives For Jurisdictional Approaches To Redd and Low Ementioning

confidence: 99%

REDD+ in Theory and Practice: How Lessons From Local Projects Can Inform Jurisdictional Approaches

Wunder

Duchelle

Sassi

et al. 2020

Front. For. Glob. Change

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Section: Perspectives For Jurisdictional Approaches To Redd and Low Ementioning

confidence: 99%

REDD+ in Theory and Practice: How Lessons From Local Projects Can Inform Jurisdictional Approaches

Wunder

Duchelle

Sassi

et al. 2020

Front. For. Glob. Change

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“…Another key aspect of RBF is the choice, by the receiving country, of the interventions that will be supported by the program. [27,31]. Weatherley-Singh and Gupta [32], for example, find that REDD+ activities must directly target the drivers of deforestation, such as forest fires and illegal logging, as well as structural drivers, such as changes in land tenure and land-use planning.…”

Section: Aid Effectiveness and The Complex Relations Between Service mentioning

confidence: 99%

Amazon Fund 10 Years Later: Lessons from the World’s Largest REDD+ Program

Correa

Hoff

Rajão

2019

Forests

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Results-Based Funding (RBF) for Reducing Emissions from Deforestation and Forest Degradation (REDD+) has become an important instrument for channeling financial resources to forest conservation activities. At the same time, much literature on conservation funding is ambiguous about the effectiveness of existing RBF schemes. Many effectiveness evaluations follow a simplified version of the principal-agent model, but in practice, the relation between aid providers and funding recipients is much more complex. As a consequence, intermediary steps of conservation funding are often not accounted for in effectiveness studies. This research paper aims to provide a nuanced understanding of conservation funding by analyzing the allocation of financial resources for one of the largest RBF schemes for REDD+ in the world: the Brazilian Amazon Fund. As part of this analysis, this study has built a dataset of information, with unprecedented detail, on Amazon Fund projects, in order to accurately reconstruct the allocation of financial resources across different stakeholders (i.e., governments, NGOs, research institutions), geographies, and activities. The results show that that the distribution of resources of the Amazon Fund lack a clear strategy that could maximize the results of the fund in terms of deforestation reduction. First, there are evidences that in some cases governmental organizations lack financial additionality for their projects, which renders the growing share of funding to this type of stakeholder particularly worrisome. Second, the Amazon Fund allocations did also not systematically have privileged the municipalities that showed the recent highest deforestation rates. rom the 10 municipalities with the higher deforestation rates in 2017, only 2 are amongst the top 100 receiving per/Ha considering the 775 municipalities from Legal Amazon. Third, the allocation of the financial resources from the Amazon Fund reflects the support of different projects that adopt significantly diverging theories of change, many of which are not primarily concerned with attaining further deforestation reductions. These results reflect the current approach adopted by the Amazon Fund, that do not actively seek areas for intervention, but instead wait for project submissions from proponents. As a consequence, project owners exert much influence on to the type of activities that they support how deforestation reduction is expected to be attained. The article concludes that the Amazon Fund as well as other RBF programs, should evolve over time in order to develop a more targeted funding strategy to maximize the long-term impact in reducing emissions from deforestation.

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“…Second, several papers examine the impact of monitoring and the role of institutions in the Amazon itself, notably Hargrave and Kis-Katos (2013), Assunção et al (2017), and Burgess et al (2017); payments for ecological services programs have also been studied as alternatives to command-andcontrol policies by Pattanyak et al (2010), Alix-Garcia et al (2012, Jayachandran et al (2017), Jack and Jayachandran (2018), and Simonet et al (2019). Compared with these papers, our analysis examines the effectiveness of an optimized counterfactual policy-targeting strategy as a way of overcoming institutional and political obstacles.…”

Section: Billionmentioning

confidence: 99%

Optimal Environmental Targeting in the Amazon Rainforest

Assunção¹,

McMillan²,

Murphy³

et al. 2019

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, and the 6th World Congress of Environmental and Resource Economists for additional comments. Faisal Ibrahim provided outstanding research assistance. Financial support from the University of Toronto Mississauga is gratefully acknowledged. Assunção is gratefully thankful for financial support from the CNPq. All remaining errors are our own. The views expressed herein are those of the authors and do not necessarily reflect the views of their respective organizations.

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Effectiveness of a REDD+ Project in Reducing Deforestation in the Brazilian Amazon

Cited by 76 publications

References 56 publications

REDD+ in Theory and Practice: How Lessons From Local Projects Can Inform Jurisdictional Approaches

REDD+ in Theory and Practice: How Lessons From Local Projects Can Inform Jurisdictional Approaches

Amazon Fund 10 Years Later: Lessons from the World’s Largest REDD+ Program

Optimal Environmental Targeting in the Amazon Rainforest

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