Forest Law enforcement through district blacklisting in the Brazlian Amazon Report as inadecuate




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Deforestation in the Brazilian Amazon has dropped substantially after a peak at over 27thousand square kilometers in 2004. Starting in 2008, the Brazilian Ministry of the Environmenthas regularly published blacklists of critical districts with high annual forest loss. Farms inblacklisted districts face stricter registration and environmental licensing rules. In this paper, wequantify the impact of blacklisting on deforestation. We first use spatial matching techniquesusing a large set of covariates to identify appropriate control districts. We then explore the effectof blacklisting on change in deforestation in double difference regression analyses using paneldata covering the period from 2002-2012. Several robustness checks are conducted including ananalysis of field-based enforcement missions as a potential causal mechanism behind theeffectiveness of the blacklist. We find that the blacklist has considerably reduced deforestation inthe affected districts even after controlling for in situ enforcement activities.

Keywords: deforestation ; impact evaluation ; matching

Subject(s): Environmental Economics and Policy

Issue Date: 2015

Publication Type: Conference Paper/ Presentation

PURL Identifier: http://purl.umn.edu/211547

Total Pages: 31

JEL Codes: Q32; Q15; Q38; Q5; H43

Record appears in: International Association of Agricultural Economists (IAAE) > 2015 Conference, August 9-14, 2015, Milan, Italy





Author: Cisneros, Elias ; Zhou, Sophie ; Borner, Jan

Source: http://ageconsearch.umn.edu/record/211547?ln=en







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