Institutions and deforestation in the Brazilian amazon: a geographic regression discontinuity analysis
Abstract
This study explores the impact of institutional quality at the municipal level on deforestation in
the Legal Amazon. We add to this insufficiently understood topic by implementing a geographic
regression discontinuity design. By taking advantage of high-resolution spatial data on
deforestation combined with an objective measure of corruption used as a proxy for institutional
quality, we analyse 138 Brazilian municipalities in the period of 2002-2004. Our empirical
findings show no causal effect of institutional quality on deforestation, suggesting that other
unobserved factors are more important drivers of deforestation. A supplementary analysis
indicates that location is a vital underlying factor in the interplay between deforestation and
institutional quality. However, further research is needed to establish inference with respect to the
relationship between deforestation, institutional quality and location.