{"query_echo":{"q":"","filters":{"analysis_type":["downscaling"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'downscaling' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":1,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=downscaling","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":"sei-000409","url":"https://climateinsightsdirectory.org/document/sei-000409","title":"Carbon footprints of consumption of goods and services","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2024-11-08","source_url":"https://www.sei.org/publications/carbon-footprints-of-consumption-of-goods-and-services/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The study provides high-resolution carbon footprint estimates for Swedish households, revealing significant variation at the postcode level and identifying correlations between footprints and factors such as income and population density.","ai_generated":true,"unit":"sei-000409#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Average carbon footprints at the postcode level in Sweden vary significantly, ranging from approximately 3.7 to 17.8 t CO2eq per capita.","ai_generated":true,"unit":"sei-000409#insight-1","date_modified":"2026-10-23"},{"text":"Certain consumption categories show higher variation than others; flights and personal vehicles exhibit high variation, while food, electricity, and clothing are more consistent across locations.","ai_generated":true,"unit":"sei-000409#insight-2","date_modified":"2026-10-23"},{"text":"The study identifies specific correlations: total carbon footprints correlate positively with income, while footprints from clothing, restaurants, and flights correlate positively with population density, whereas personal vehicle footprints correlate negatively with population density.","ai_generated":true,"unit":"sei-000409#insight-3","date_modified":"2026-10-23"}],"climate_tags":["carbon footprint","greenhouse gas emissions"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis","downscaling"]}]}