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
Additional contact information
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: FERDI - Fondation pour les Etudes et Recherches sur le Développement International
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 scoreweighting 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. Our results show that the hierarchical structure of the database matters and should be considered in the assessment of protected areas effectiveness. Our results also suggest that protected areas have slowed down deforestation between 2005 and 2009, whatever the type of governance. The effectiveness of protected areas differs according to socioeconomic and environmental variables measured at municipal level. For instance, indigenous protected areas are found to be marginally more efficient than sustainable use areas and integral use areas. Protected Areas that were more recently implemented are also found to avoid more deforestation than older ones. This corroborates the idea that recently created protected areas in the Brazilian Amazon have a greater agricultural potential.
Keywords: Brazilian; Legal; Amazon; Protected; Areas; Deforestation; Impact; Analysis (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (9)
Published in Ecological Economics, 2017, 136, pp.148-158
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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) 
Working Paper: Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia (2016) 
Working Paper: Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia (2016) 
Working Paper: Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia (2016) 
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-01479031
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