{"query_echo":{"q":"","filters":{"geography":["Brazilian Amazon Biome"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Brazilian Amazon Biome' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Brazilian+Amazon+Biome","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"clipolin-000472","url":"https://climateinsightsdirectory.org/document/clipolin-000472","title":"Does Credit Affect Deforestation? Evidence from a Rural Credit Policy in the Brazilian Amazon","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"executive summary","language":"en","date_published":"2013-01","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2013/01/Does-Credit-Affect-Deforestation-Executive-Summary-English.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document assesses how Resolution 3,545, which conditioned rural credit on environmental compliance, reduced deforestation in the Brazilian Amazon. It finds that the policy led to a significant reduction in credit, particularly for cattle ranching, which in turn prevented over 2,700 km2 of forest clearing. The study highlights that cattle ranchers are more credit-constrained than crop farmers, suggesting that financial resource availability directly influences deforestation rates in the region.","ai_generated":true,"unit":"clipolin-000472#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Resolution 3,545 led to a significant reduction in rural credit in the Amazon Biome, with an estimated BRL 2.9 billion (USD 1.4 billion) in credit not contracted between 2008 and 2011. The majority of this reduction, BRL 2.6 billion (USD 1.3 billion), was associated with cattle-specific contracts.","ai_generated":true,"unit":"clipolin-000472#insight-1","date_modified":"2026-10-23"},{"text":"The reduction in rural credit caused by the resolution prevented more than 2,700 km2 of forest area from being cleared between 2009 and 2011, representing a 15% decrease in deforestation for that period.","ai_generated":true,"unit":"clipolin-000472#insight-2","date_modified":"2026-10-23"},{"text":"The impact of the credit restriction on deforestation was primarily significant in municipalities where cattle ranching is the dominant economic activity; in contrast, deforestation in crop-oriented municipalities was not affected by Resolution 3,545.","ai_generated":true,"unit":"clipolin-000472#insight-3","date_modified":"2026-10-23"},{"text":"The policy altered the distribution of credit contracts, reducing the number of medium and large contracts for cattle while slightly increasing small contracts. For crops, there was a decrease in medium contracts with no significant impact on small ones.","ai_generated":true,"unit":"clipolin-000472#insight-4","date_modified":"2026-10-23"},{"text":"The results indicate that cattle ranchers in the Amazon are credit-constrained, meaning their deforestation activities are sensitive to the availability of subsidized credit. Crop farmers appear less dependent on these subsidies or use them to increase productivity rather than expand land use.","ai_generated":true,"unit":"clipolin-000472#insight-5","date_modified":"2026-10-23"},{"text":"The study warns that policies increasing financial resources for farmers, such as payments for environmental services, could potentially lead to higher deforestation rates if they do not account for existing credit constraints and avoid adverse rebound effects.","ai_generated":true,"unit":"clipolin-000472#insight-6","date_modified":"2026-10-23"}],"climate_tags":["deforestation","environmental regulation","climate finance","agricultural productivity"],"geography_discussed":["Legal Amazon","Brazil"],"frame_perspective":[],"analysis_type":["quantitative evaluation","counterfactual simulation"]}]}