@Article{WestCavMarSilBör:2022:PoCoGa,
author = "West, Thales A. P. and Caviglia Harris, Jill L. and Martins, Flora
da Silva Ramos Vieira and Silva, Daniel E. and B{\"o}rner, Jan",
affiliation = "{VU University Amsterdam} and {Salisbury University} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {University of Bonn}",
title = "Potential conservation gains from improved protected area
management in the Brazilian Amazon",
journal = "Biological Conservation",
year = "2022",
volume = "269",
pages = "e109526",
month = "May",
keywords = "Amazon, Brazil, Governance, Impact evaluation, Matching, Synthetic
control.",
abstract = "Protected areas (PAs) are important policy instruments for forest
conservation, but it is unclear if improved management can
increase PA effectiveness. In Brazil, formal management plans are
required to be in place shortly after the creation of a PA. This
requirement is rarely enforced and, as a result, several PAs
undergo many years without approved plans. We take advantage of
this variation among PAs to study the impact of management plans
on deforestation. We provide estimates from two quasi-experimental
evaluation approaches based on the generalization of the
difference-in-differences estimator: (1) matching-based methods
for time-series cross-sectional data analysis and (2) the
generalized synthetic control (GSC) method. We find weak, yet
generally consistent, evidence across these two methods suggesting
that PAs with approved management plans protect forests more
effectively over time. Significant impact estimates from the
matching-based approach ranged more widely than the GSC method
(0.01.",
issn = "0006-3207",
language = "en",
targetfile = "west_2022_potential.pdf",
urlaccessdate = "25 jun. 2024"
}