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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 (pascale.motel_combes@uca.fr), Jean-Louis Combes, Olivier Santoni (olivier.santoni@uca.fr) and Sonia Schwartz
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Pascale Combes Motel: CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique
Olivier Santoni: CERDI - Centre d'Études et de Recherches sur le Développement International - UdA - Université d'Auvergne - Clermont-Ferrand I - CNRS - Centre National de la Recherche Scientifique

Authors registered in the RePEc Author Service: Pascale Motel Combes (pascale.motel_combes@uca.fr)

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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)
Date: 2016-01-15
New Economics Papers: this item is included in nep-agr and nep-env
Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-01256600
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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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