Cited by 43Conservation, Biodiversity, and Resource ManagementForest Management and PolicySocioeconomics of Resources and Conservation

What drives the erasure of protected areas? Evidence from across the Brazilian Amazon

Open access
Keles, Derya, Delacote, Philippe, Pfaff, Alexander, Qin, Siyu, Mascia, Michael B.·2020·Ecological Economics

Integrity signals

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Crossref · 10.1016/j.ecolecon.2020.106733

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3 of 3 references verified0 citation errors · 0 not checkable

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Authors
Keles, D., Delacote, P., Pfaff, A., Qin, S., & Mascia, M. B.
Affiliations
  • Centre National de la Recherche Scientifique (FR)
  • Duke University (US)
  • Conservation International (US)
Corresponding author
Keles, Derya
Venue
Ecological Economics
Publisher
Elsevier BV
Published
2020-10
Volume
176
Pages
106733
ISSN
0921-8009 (ISSN-L)
OpenAlex
W3035976394
Cited by
43
References
3
Citations by year
2026: 4 · 2025: 7 · 2024: 7 · 2023: 4 · 2022: 11 · 2021: 10
FWCI
2.33
Type
journal article
Language
en
Open access
Locations
  • Ecological Economics (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • HAL (submittedVersion, cc-by)
Funders
Agence Nationale de la Recherche (ANR-11-LABX-0002)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
  • Physical Sciences › Environmental Science › Global and Planetary Change › Forest Management and Policy
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Socioeconomics of Resources and Conservation
Keywords
protected areas, conservation effectiveness, forest protection, travel cost, road access, enforcement, Brazilian Amazon, conservation-development conflict

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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.

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