Evidence map›Paper›PMID 41843679›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

When does higher credit lower forest area? Amazon contexts change credit's impacts.

Patricia G C Ruggiero, Paula Carvalho Pereda, Alexander Pfaff

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Patricia G C RuggieroSchool of Economics, Business and Accounting, Department of Economics, University of São Paulo, São Paulo 05508-010, Brazil.ORCID 0000-0002-1296-0899
Paula Carvalho PeredaSchool of Economics, Business and Accounting, Department of Economics, University of São Paulo, São Paulo 05508-010, Brazil.
Alexander PfaffSanford School of Public Policy, Duke University, Durham, NC 27708.ORCID 0000-0002-6886-6906

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 304221/2022-8Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 465501/2014-1Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2014/50848-9Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2019/13707-1Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) 2022/09161-6
6 · The paper itself

Abstract

Economic activities have transformed over half of the Earth's surface and the large-scale conversion of rural forests to agropastoral production is ongoing. Raising access to credit may lead producers to expand at the expense of the forest or, instead, invest to raise yields, reducing forest loss per unit output. Looking across Brazil's enormous Amazon, we show that extremely different local contexts differ in terms of which effect of credit dominates. We distinguish those contexts using factors that affect cattle and crop production. For each of these two outputs, we find distinct credit impacts by context. Cattle credit raises deforestation where pasture expands over native forest on far frontiers. Crop credit raises deforestation where farms expand over pasture and forest remnants. Understanding impacts heterogeneity can help to reduce losses of rural forests, even while credit is supporting local economies.

Indexed as

Borlaug’s hypothesisdeforestation frontierspolicy designRebound hypothesis

Identifiers

PMID41843679
PMCPMC13012136

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.