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In this paper, we use geospatial data and difference-in-differences models to identify the deforestation effects, during 2000-2013, of the leading forest policies in the Peruvian Amazon: i) logging concessions, ii) third-party certification of concessions, and iii) Protected Areas (PAs). We find...
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In this paper, we use geospatial data and difference-in-differences models to identify the deforestation effects, during 2000-2013, of the leading forest policies in the Peruvian Amazon: i) logging concessions, ii) third-party certification of concessions, and iii) Protected Areas (PAs). We find...
Persistent link: https://www.econbiz.de/10012057071
To inform the search for SDG synergies in infrastructure provision, and to reduce SDG tradeoffs, the authors show that road impacts on Brazilian Amazon forests have varied significantly across settings. Forest loss varied predictably with prior development - both prior roads and prior...
Persistent link: https://www.econbiz.de/10011805893
For Acre, in the Brazilian Amazon, we find that protection types with differences in governance, including different constraints on local economic development, also differ in their locations. Taking this into account, we estimate the deforestation impacts of these protection types that feature...
Persistent link: https://www.econbiz.de/10010730100
Incentives for REDD − i.e., reductions in emissions from deforestation and degradation − motivate application of static economic modeling of land use to assess heterogeneity over space in the business-as-usual baselines for land use required for forest policy evaluations. That some forested...
Persistent link: https://www.econbiz.de/10011068952
To support conservation planning, we ask whether a park's impact on deforestation rates varies with observable land characteristics that planners could use to prioritize sites. Using matching methods to address bias from non-random location, we find deforestation impacts vary greatly due to park...
Persistent link: https://www.econbiz.de/10005046333