Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 455

The DOI matches its Crossref record.

At Loggerheads?: Agricultural Expansion, Poverty Reduction, and Environment in the Tropical Forests

Open access
World Bank·2006·World Bank, Washington, DC eBooks

Abstract

There are many causes, consequences, and connections of deforestation and forest poverty in the tropical world. This report specifically addresses the potential dilemma of trade-offs between poverty reduction and environmental protection. It seeks to improve the diagnosis of forest problems and facilitate the prescription and application of solutions by focusing on both the causes and consequences of forest conversion to agriculture and on the nature and location of forest poverty. The first section is diagnostic, examining the drivers and consequences of deforestation and forest poverty. The second part looks at how governance, institutions, and policies shape those drivers. It identifies opportunities for win-win policies. In particular, anything that boosts labor demand outside agriculture will tend to reduce both poverty and deforestation. Additionally, promotion of some kinds of agroforestry can help to improve the ecological functions of degraded forests while boosting farm output and employment. The report offers a systematic framework for thinking about how to integrate forest management with rural development in a sustainable way.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1596/978-0-8213-6735-3

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 455

Metadata

Authors
Bank, W.
Venue
World Bank, Washington, DC eBooks
Published
2006-10-23
OpenAlex
W2145280344
Cited by
455
References
0
FWCI
49.44
Type
book
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: At Loggerheads?: Agricultural Expansion, Poverty Reduction, and Environment in the Tropical Forests. https://app.cochat.ai/papers/10.1596/978-0-8213-6735-3
The paper
Bank, W. (2006). At Loggerheads?: Agricultural Expansion, Poverty Reduction, and Environment in the Tropical Forests. World Bank, Washington, DC eBooks. https://doi.org/10.1596/978-0-8213-6735-3

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.