Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia - HAL-SHS - Sciences de l'Homme et de la Société
Journal Articles Ecological Economics Year : 2017

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

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.
No file

Dates and versions

halshs-01479031 , version 1 (28-02-2017)

Identifiers

  • HAL Id : halshs-01479031 , version 1

Cite

Eric Nazindigouba Kere, Johanna Choumert, Pascale Combes Motel, Jean-Louis Combes, Olivier Santoni, et al.. Addressing Contextual and Location Biases in the Assessment of Protected Areas Effectiveness on Deforestation in the Brazilian Amazônia. Ecological Economics, 2017, 136, pp.148-158. ⟨halshs-01479031⟩
147 View
0 Download

Share

More