{"query_echo":{"q":"","filters":{"analysis_type":["sociodemographic analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'sociodemographic analysis' 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=sociodemographic+analysis","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-000812","url":"https://climateinsightsdirectory.org/document/sei-000812","title":"Risk of losing out from low-carbon transition","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022-12-01","source_url":"https://www.sei.org/publications/risk-of-losing-out-from-low-carbon-transition","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research examines how low-carbon transition policies in Sweden's food and transport sectors may unevenly affect consumers based on wealth, access, and health. It identifies a significant portion of the population at risk of adverse impacts due to car dependency and limited ability to absorb price increases for carbon-intensive goods.","ai_generated":true,"unit":"sei-000812#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Approximately 40% of the Swedish population is at higher risk of adverse impacts on wealth and access from low-carbon transition policies, as this group relies heavily on cars and has a lower capacity to handle the expected price increases of carbon-intensive goods.","ai_generated":true,"unit":"sei-000812#insight-1","date_modified":"2026-10-23"},{"text":"The group of people most at risk of losing out from the transition is collectively responsible for 41% of consumption-based emissions.","ai_generated":true,"unit":"sei-000812#insight-2","date_modified":"2026-10-23"},{"text":"There are variations in carbon footprint categories based on income levels and the density of the areas where people live, which affects their ability to adapt to shifts in the food and transport sectors.","ai_generated":true,"unit":"sei-000812#insight-3","date_modified":"2026-10-23"}],"climate_tags":["just transition","energy transition","transport industry","carbon footprint"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["distributional analysis","footprint analysis","sociodemographic analysis"]}]}