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Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia

Eric Kere, Johanna Choumert-Nkolo, Pascale Combes Motel (), Jean-Louis Combes, Olivier Santoni () and Sonia Schwartz
Additional contact information
Pascale Combes Motel: Centre d'Etudes et de Recherches sur le Développement International(CERDI)
Olivier Santoni: Centre d'Etudes et de Recherches sur le Développement International(CERDI)

Authors registered in the RePEc Author Service: Pascale Motel Combes ()

No 201602, Working Papers from CERDI

Abstract: Using a remotely sensed pixel data set, we develop a multilevel model and propensity score weighting with multilevel data to assess the impact of protected areas on deforestation in the Brazilian Amazon. These techniques allow taking into account location bias, contextual bias and the dependence of spatial units. The results suggest that protected areas have slowed down deforestation between 2005 and 2009, whatever the type of governance. The results also evidence that protected and unprotected areas do not share the same location characteristics. In addition, the effectiveness of protected areas differs according to socioeconomic and environmental variables measured at municipal level.

Keywords: Brazilian Legal Amazon; Protected areas; Deforestation; Impact analysis. (search for similar items in EconPapers)
JEL-codes: C21 Q23 Q28 Q57 (search for similar items in EconPapers)
Pages: 27
Date: 2016-01
New Economics Papers: this item is included in nep-env
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Published in Ecological Economics, 2017, pages 148-158
Published in Ecological Economics

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Related works:
Journal Article: Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia (2017) Downloads
Working Paper: Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia (2017)
Working Paper: Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia (2016) Downloads
Working Paper: Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia (2016) Downloads
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