Impacts of a large-scale titling initiative on deforestation in the Brazilian Amazon
Autor: | Benedict Probst, Ariel BenYishay, Tiago N.P. dos Reis, Andreas Kontoleon |
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Rok vydání: | 2020 |
Předmět: |
Market integration
Global and Planetary Change Ecology Renewable Energy Sustainability and the Environment Natural resource economics Amazon rainforest Yield (finance) Geography Planning and Development Management Monitoring Policy and Law Urban Studies Deforestation Scale (social sciences) Business Empirical evidence Land titling Land tenure Nature and Landscape Conservation Food Science |
Zdroj: | Nature Sustainability. 3:1019-1026 |
ISSN: | 2398-9629 |
DOI: | 10.1038/s41893-020-0537-2 |
Popis: | Across carbon- and biodiversity-rich tropical forests, titling initiatives are implemented with the goal of regularizing land tenure and decreasing deforestation. However, the effect of tenure security on deforestation is theoretically ambiguous, and credible empirical evidence is lacking. We analyse the responses of 10,647 landholders between 2011 and 2016 to a large-scale land-titling programme called Terra Legal in the Brazilian Amazon, set to regulate an area as big as Germany and France combined. Using a fixed-effects regression modelling strategy and property-level data, we managed to explore the causal chain between land titling and deforestation. Contrary to expectations, we find evidence that small and medium landholders increased deforestation in response to the programme, whereas large landholders remained largely unaffected. Landholders with property titles deforest more as crop and cattle prices increase, indicating greater market integration at the expense of conservation. Our results suggest that titling alone without greater coordination with other policies will not yield the expected environmental benefits. A large-scale land-titling programme in the Brazilian Amazon did not affect forest cover in large landholdings, but induced deforestation in the small and medium ones, driven by crop and cattle price increases. |
Databáze: | OpenAIRE |
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