Cited by 46Efficiency Analysis Using DEAConservation, Biodiversity, and Resource ManagementAgricultural economics and policies

The relationship between technical efficiency in agriculture and deforestation in the Brazilian Amazon

Marchand, Sébastien·2012·Ecological Economics

Integrity signals

Registry

Crossref · 10.1016/j.ecolecon.2012.02.025

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  • Only one study examined the broader political context as a driver of deforestation, finding that corruption and campaign funding in municipal re-election cycles increased deforestation in Brazil.

    “Only one study examined the broader political context as a driver of deforestation.It found 417 that corruption and campaign funding in municipal re-election cycles increased deforestation in Brazil418[117].”

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Authors
Marchand, S.
Corresponding author
Marchand, Sébastien
Venue
Ecological Economics
Publisher
Elsevier BV
Published
2012-05
Volume
77
Pages
166-175
ISSN
0921-8009 (ISSN-L)
OpenAlex
W2110576641
Cited by
46
References
0
Citations by year
2026: 2 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 3 · 2021: 6 · 2020: 6 · 2019: 3 · 2018: 4 · 2016: 3 · 2015: 9 · 2014: 2
FWCI
4.33
Type
journal article
Language
en
Open access
closed
Locations
  • Ecological Economics (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • HAL (submittedVersion)
Funders
“International Governance, universalism and relativism rules and institutions: What roles for international institutions?”
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
  • Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
  • Social Sciences › Safety Research › Agricultural economics and policies
Keywords
technical efficiency, deforestation, agriculture, Brazilian Amazon, agricultural productivity, land use change

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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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