{"query_echo":{"q":"","filters":{"analysis_type":["integrated assessment modelling"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'integrated assessment modelling' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=integrated+assessment+modelling","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-000399","url":"https://climateinsightsdirectory.org/document/sei-000399","title":"Integrated assessment of global climate, air pollution and dietary malnutrition and obesity health impacts of food production and consumption between 2014 and 2018","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2021-07-01","source_url":"https://www.sei.org/publications/integrated-assessment-of-global-climate-air-pollution-and-dietary-malnutrition-and-obesity-health-impacts-of-food-production-and-consumption-between-2014-and-2018/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document presents a new modelling framework that integrates the assessment of food consumption-related health risks with the quantification of greenhouse gas and air pollutant emissions from food production. Applied to the 2014–2018 period, the model demonstrates that integrated strategies can mitigate climate change while improving human health, though it also identifies potential trade-offs where expanded agricultural production may increase emissions.","ai_generated":true,"unit":"sei-000399#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The authors developed a new model to fill a gap in existing tools by integrating the assessment of agricultural systems across three dimensions: indirect human health risks from food consumption (dietary, obesity, and malnutrition), direct human health risks from exposure to agricultural air pollutants, and greenhouse gas emissions.","ai_generated":true,"unit":"sei-000399#insight-1","date_modified":"2026-10-23"},{"text":"Application of the model to the 2014–2018 period indicates that there are significant opportunities to create integrated strategies that simultaneously improve human health and mitigate climate change, although increasing agricultural production to meet demand may create trade-offs by increasing emissions.","ai_generated":true,"unit":"sei-000399#insight-2","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","public health"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["integrated assessment modelling"]},{"id":"sei-001813","url":"https://climateinsightsdirectory.org/document/sei-001813","title":"The Economics of Climate Change in Kenya","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2009-12-01","source_url":"https://www.sei.org/mediamanager/documents/Publications/SEI-ProjectReport-Downing-EconomicsOfClimateChangeKenya-2009.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that existing climate variability already costs Kenya up to 2% of GDP annually, with future climate change potentially adding a loss of 2.6% of GDP per year by 2030. Adaptation needs are estimated at $500 million per year for 2012, rising to $1-2 billion per year by 2030. The study also identifies significant opportunities for low-carbon growth, noting that over 80% of selected energy-related emission reduction options can be realized at a net negative cost.","ai_generated":true,"unit":"sei-001813#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Existing climate variability, specifically periodic floods and droughts, imposes significant macroeconomic costs on Kenya, potentially amounting to $0.5 billion per year, or approximately 2% of GDP.","ai_generated":true,"unit":"sei-001813#insight-1","date_modified":"2026-10-23"},{"text":"Future climate change is projected to cause additional net economic losses in Kenya, with aggregate models estimating a loss of 2.6% of GDP each year by 2030.","ai_generated":true,"unit":"sei-001813#insight-2","date_modified":"2026-10-23"},{"text":"Sea-level rise is expected to cause significant coastal flooding in Kenya, affecting 10,000 to 86,000 people annually by 2030, with economic costs estimated between $7 million and $58 million per year by 2030, potentially rising to $31-313 million per year by 2050.","ai_generated":true,"unit":"sei-001813#insight-3","date_modified":"2026-10-23"},{"text":"Climate change may significantly increase the rural health burden of malaria in Kenya by the 2050s, potentially increasing the at-risk population by 36% to 89% (an additional 2.9 to 6.9 million people), with full economic costs estimated at $144 to $185 million annually.","ai_generated":true,"unit":"sei-001813#insight-4","date_modified":"2026-10-23"},{"text":"Socio-economic drivers such as population growth and urbanisation could increase the economic costs of large-scale flood or drought events by a factor of five by 2030, potentially leading to direct costs of $5 to 10 billion per event.","ai_generated":true,"unit":"sei-001813#insight-5","date_modified":"2026-10-23"},{"text":"Immediate adaptation needs for Kenya in 2012 are estimated at $500 million per year, with costs expected to rise to between $1 billion and $2 billion per year by 2030.","ai_generated":true,"unit":"sei-001813#insight-6","date_modified":"2026-10-23"},{"text":"Adaptation in the coastal zone is considered highly cost-effective; implementing protection measures could reduce the number of people flooded in 2030 to between 2,000 and 11,000 per year, with adaptation costs estimated at $28-56 million per year by 2030.","ai_generated":true,"unit":"sei-001813#insight-7","date_modified":"2026-10-23"},{"text":"Greenhouse gas emissions in Kenya are projected to double between 2005 and 2030 under a 'business as usual' scenario, driven primarily by the transport and agriculture sectors.","ai_generated":true,"unit":"sei-001813#insight-8","date_modified":"2026-10-23"},{"text":"A low-carbon alternative pathway for Kenya could achieve energy-related emission savings of 22% by 2020 relative to the baseline, with over 80% of these options achievable at a net negative cost.","ai_generated":true,"unit":"sei-001813#insight-9","date_modified":"2026-10-23"}],"climate_tags":["climate finance","climate change adaptation","greenhouse gas emissions","sea level rise","malaria","coastal erosion","agriculture","water resource","hydropower","energy demand","ecosystem service","carbon credit","renewable energy","geothermal energy","wind power","agroforestry","bioenergy"],"geography_discussed":["Mombasa","Tana River basin","Nairobi","Kisumu","Africa"],"frame_perspective":[],"analysis_type":["economic assessment","sectoral analysis","case study","integrated assessment modelling"]}]}