{"query_echo":{"q":"","filters":{"climate_tags":["economic loss"]},"warnings":[]},"total":{"value":11,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?climate_tags=economic+loss","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":"cliinstca-000146","url":"https://climateinsightsdirectory.org/document/cliinstca-000146","title":"From Wildfires to Trade Corridors: Climate Resilience as an Economic Strategy","publisher":{"name":"Canadian Climate Institute","organization":"canadian-climate-institute"},"document_type":"statement","language":"en","date_published":"2025-08-21","source_url":"https://climateinstitute.ca/from-wildfires-to-trade-corridors-climate-resilience-economic-strategy/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Canadian Climate Institute asserts that escalating climate risks threaten Canada's trade infrastructure and economic stability. The document highlights the severe economic toll of climate-driven events, citing a projected cost of $25 billion to the economy in 2025, and advocates for treating climate-resilient infrastructure as a project of national interest to safeguard long-term wealth creation.","ai_generated":true,"unit":"cliinstca-000146#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate-driven events are causing a significant increase in economic losses in Canada. In 2024, insured property damages totaled $8.5 billion, which is twelve times the annual average of $700 million recorded between 2000 and 2010. Additionally, uninsured losses are typically double the amount of insured damages.","ai_generated":true,"unit":"cliinstca-000146#insight-1","date_modified":"2026-10-23"},{"text":"The economic cost of climate change in Canada is projected to rise sharply without adaptation. The cost reached $25 billion in 2025, representing half a year's GDP growth. This is projected to increase to between $78 billion and $101 billion by 2050, and between $391 billion and $865 billion by 2100.","ai_generated":true,"unit":"cliinstca-000146#insight-2","date_modified":"2026-10-23"},{"text":"Investment in climate adaptation provides a high return on investment, with every $1 spent on key adaptation measures preventing $15 in GDP losses.","ai_generated":true,"unit":"cliinstca-000146#insight-3","date_modified":"2026-10-23"},{"text":"Extreme flooding in British Columbia in 2021, which was 60% more likely due to climate change, caused national economic shocks by severing major routes between the Port of Vancouver and the rest of Canada, including damage to the Coquihalla Highway at over 20 locations.","ai_generated":true,"unit":"cliinstca-000146#insight-4","date_modified":"2026-10-23"},{"text":"The document recommends three specific actions for the Canadian government: identifying at-risk critical trade infrastructure (such as the Chignecto Isthmus or B.C. Lower Mainland), allocating a portion of the $5 billion Trade Corridor Diversification Corridor Fund to resilience, and setting technical requirements for new infrastructure to ensure climate resilience.","ai_generated":true,"unit":"cliinstca-000146#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate resilience","climate change adaptation","economic loss","wildfire","flood","supply chain","gross domestic product"],"geography_discussed":["British Columbia","United Kingdom","New Zealand","United States"],"frame_perspective":[],"analysis_type":["economic impact assessment","policy recommendation"]},{"id":"iai-000143","url":"https://climateinsightsdirectory.org/document/iai-000143","title":"Translating fire impacts in southwestern Amazonia into economic costs","publisher":{"name":"Inter-American Institute for Global Change Research","organization":"inter-american-institute-for-global-change-research"},"document_type":"research paper","language":"en","date_published":"2025-01-11","source_url":"https://iai.int/es/pub_acad/translating-fire-impacts-in-southwestern-amazonia-into-economic-costs/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research assesses the economic and environmental costs of forest fires in Acre, Brazil, finding that an extreme drought in 2010 caused burned areas to be 16 times larger than in normal years, resulting in economic losses of approximately US$ 243.36 million, or 7.03% of the state's GDP.","ai_generated":true,"unit":"iai-000143#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2008 and 2012, forest fires in Acre were typically concentrated near roads and major cities in polygons up to 0.6 km2, but the extreme drought of 2010 caused fires to spread into remote areas, including sustainable-use conservation areas and protected private areas.","ai_generated":true,"unit":"iai-000143#insight-1","date_modified":"2026-10-23"},{"text":"The total area affected by forest fires in 2010 was approximately 16 times larger than the area affected during meteorologically normal years.","ai_generated":true,"unit":"iai-000143#insight-2","date_modified":"2026-10-23"},{"text":"Economic losses from fires in Acre totaled US$ 307.46 ± 85.41 million for the 2008-2012 period, representing 9.07 ± 2.46% of the state's GDP. Specifically, in 2010, losses were estimated at US$ 243.36 ± 85.05 million, which accounted for 7.03 ± 2.45% of the GDP.","ai_generated":true,"unit":"iai-000143#insight-3","date_modified":"2026-10-23"}],"climate_tags":["forest fire","drought","carbon dioxide emissions","economic loss"],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["economic assessment","spatiotemporal analysis"]},{"id":"glorespar-000018","url":"https://climateinsightsdirectory.org/document/glorespar-000018","title":"Impact of an Unprecedented Cold Spell on Northern Sri Lankan Cattle Farms: A Tale of Devastation","publisher":{"name":"Global Resilience Partnership","organization":"global-resilience-partnership"},"document_type":"case study","language":"en","date_published":"2023-08-01","source_url":"https://www.globalresiliencepartnership.org/impact-of-an-unprecedented-cold-spell-on-northern-sri-lankan-cattle-farms-a-tale-of-devastation/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"In December 2022, Northern and Eastern Sri Lanka experienced an unprecedented temperature drop to approximately 17C, caused by a cold front, smog, and pollution from India. This event devastated livestock farming, a primary income source for rural communities. The case study highlights the experience of Subramaniyam Kanahendran in the Vavuniya District, who lost 11 cattle, including a stud bull and several milking and pregnant cows, resulting in financial losses nearly 20 times his family's average monthly income. The document attributes the high mortality rate to the animals' poor nutritional status and inability to cope with temperature fluctuations, and it recommends improved nutritional management, weather-resilient infrastructure, and compensation mechanisms to build future resilience.","ai_generated":true,"unit":"glorespar-000018#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In December 2022, Sri Lanka experienced an unprecedented temperature drop to approximately 17C, particularly severe in the Northern and Eastern regions, attributed to a cold front, smog, and polluted air from India.","ai_generated":true,"unit":"glorespar-000018#insight-1","date_modified":"2026-10-23"},{"text":"The cold spell caused significant livestock losses for rural farmers; for example, farmer Subramaniyam Kanahendran lost 11 cattle, including three milking cows, three pregnant cows, one stud bull, one young cow, and three calves.","ai_generated":true,"unit":"glorespar-000018#insight-2","date_modified":"2026-10-23"},{"text":"The financial impact on the affected farmer was severe, with direct losses from cattle deaths amounting to nearly 20 times the family's average monthly income, further compounded by the need to sell underweight animals below market value.","ai_generated":true,"unit":"glorespar-000018#insight-3","date_modified":"2026-10-23"},{"text":"The high mortality of livestock during the cold spell is linked to poor nutritional status and inadequate management, which left animals unable to handle temperature fluctuations outside their usual ranges.","ai_generated":true,"unit":"glorespar-000018#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change","extreme weather event","climate resilience","economic loss"],"geography_discussed":["India","Vavuniya District"],"frame_perspective":[],"analysis_type":["case study"]},{"id":"cliinstca-000206","url":"https://climateinsightsdirectory.org/document/cliinstca-000206","title":"Les dommages climatiques font grimper le coût de la vie pour tous les Canadiens","publisher":{"name":"Canadian Climate Institute","organization":"canadian-climate-institute"},"document_type":"statement","language":"fr","date_published":"2023-06-05","source_url":"https://institutclimatique.ca/les-dommages-climatiques-font-grimper-le-cout-de-la-vie-pour-tous-les-canadiens/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document highlights the rising economic burden of climate-driven disasters in Canada, noting that insured losses from 2010 to 2019 exceeded $18 billion. It asserts that climate change adds an average annual cost of $700 per household through higher grocery prices, insurance premiums, and taxes. The author calls for increased public investment in adaptation, citing that every dollar spent on adaptation yields $13 to $15 in economic returns and that climate-resilient road materials could save up to $5 billion nationally over coming decades.","ai_generated":true,"unit":"cliinstca-000206#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The financial impact of weather disasters in Canada has escalated from tens of millions to billions of dollars annually over the last 50 years. Between 2010 and 2019, insured losses for catastrophic weather events exceeded $18 billion, with the number of such events being more than three times higher than in the 1980s.","ai_generated":true,"unit":"cliinstca-000206#insight-1","date_modified":"2026-10-23"},{"text":"Climate change increases the cost of living for all Canadian households, regardless of their proximity to disaster zones, by an average of $700 per year. This cost manifests as higher grocery bills due to supply chain disruptions, increased home insurance premiums, and tax hikes to fund disaster recovery.","ai_generated":true,"unit":"cliinstca-000206#insight-2","date_modified":"2026-10-23"},{"text":"Investing in climate adaptation is highly cost-effective, with an estimated economic return of $13 to $15 for every dollar invested. Specifically, using climate-resilient materials for road maintenance and repair could reduce heat and precipitation damage costs by up to 98%, potentially saving $5 billion nationally over the next few decades.","ai_generated":true,"unit":"cliinstca-000206#insight-3","date_modified":"2026-10-23"},{"text":"Canada lags behind peer nations in prioritizing national adaptation. While the National Adaptation Strategy represents a significant step, the document argues that federal, provincial, and territorial governments have systematically underfunded adaptation compared to other climate-related funding.","ai_generated":true,"unit":"cliinstca-000206#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate finance","wildfire","flood","economic loss"],"geography_discussed":["Alberta","Quebec","British Columbia"],"frame_perspective":[],"analysis_type":["economic assessment","policy advocacy"]},{"id":"zca-000013","url":"https://climateinsightsdirectory.org/document/zca-000013","title":"G7 economies increasingly exposed to climate risks through globalised supply chain","publisher":{"name":"Zero Carbon Analytics","organization":"zero-carbon-analytics"},"document_type":"report","language":"en","date_published":"2022-06-16","source_url":"https://zerocarbon-analytics.org/finance/g7-economies-increasingly-exposed-to-climate-risks-through-globalised-supply-chain/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that G7 economies face significant economic risks due to the interconnectedness of global supply chains, where climate-driven disruptions in production hubs—particularly in Africa, Asia, and Latin America—transmit shocks to industrialised nations. It cites examples such as the 2011 Thailand floods and recent flooding in Durban, South Africa, to illustrate how extreme weather causes global price spikes and production delays. Specific analyses for the US, Germany, UK, and Japan reveal vulnerabilities in sectors ranging from ICT and automotive manufacturing to food security. The document concludes that because labour cost differentials continue to drive the offshoring of production, G7 nations must cooperate globally and fulfill adaptation funding commitments to secure their own supply chains.","ai_generated":true,"unit":"zca-000013#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Global supply chains transmit climate risks across borders, meaning extreme weather at production sites causes disruptions far beyond the source. The 2011 Thailand floods, for instance, caused USD 40 billion in local damages and led to a 2.5% reduction in global industrial production, with hard disk drive prices increasing by 80%-190%.","ai_generated":true,"unit":"zca-000013#insight-1","date_modified":"2026-10-23"},{"text":"Coastal infrastructure is highly vulnerable to sea level rise, with approximately 90% of global freight moving by ship. Adapting the world's 2,738 coastal ports to these risks could cost between USD 22 billion and USD 768 billion by 2050.","ai_generated":true,"unit":"zca-000013#insight-2","date_modified":"2026-10-23"},{"text":"The United States faces specific supply chain vulnerabilities: nearly one-third of its largest airports have runways at risk from storm surges, and the ICT sector is exposed to trans-border risk due to its reliance on Chinese manufacturing concentrated in high-flood risk eastern river basins.","ai_generated":true,"unit":"zca-000013#insight-3","date_modified":"2026-10-23"},{"text":"Germany's economic risks from climate change largely stem from regions outside the EU. Projections for 2050 suggest a GDP decrease between 0.01% and 0.35% annually and welfare losses between 0.11% and 0.36% annually, with heat stress in Southeast Asia alone potentially triggering GDP losses of 0.41% to 0.46%.","ai_generated":true,"unit":"zca-000013#insight-4","date_modified":"2026-10-23"},{"text":"The UK's food security is threatened by its reliance on imports from over 160 countries, with 18% of fruit and vegetables coming from highly or moderately vulnerable nations like India, South Africa, and Brazil. This vulnerability could lead to food price increases of 20% by 2050.","ai_generated":true,"unit":"zca-000013#insight-5","date_modified":"2026-10-23"},{"text":"Japan is vulnerable to climate risks in Southeast Asia for its electronics and automotive sectors, and to US climate risks regarding agricultural imports, specifically feed for meat production.","ai_generated":true,"unit":"zca-000013#insight-6","date_modified":"2026-10-23"}],"climate_tags":["food security","sea level rise","extreme weather event","economic loss","automotive industry"],"geography_discussed":["Thailand","Japan","European Union","North America","South Africa","Durban","KwaZulu-Natal","United States","People's Republic of China","Germany","United Kingdom","India","Brazil","Southeast Asia"],"frame_perspective":[],"analysis_type":["risk assessment","economic impact analysis"]},{"id":"zca-000092","url":"https://climateinsightsdirectory.org/document/zca-000092","title":"The cascading economic cost of climate disasters for China","publisher":{"name":"Zero Carbon Analytics","organization":"zero-carbon-analytics"},"document_type":"policy brief","language":"en","date_published":"2021-09-25","source_url":"https://zerocarbon-analytics.org/finance/the-cascading-economic-cost-of-climate-disasters-for-china/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"China faces significant economic vulnerability to climate-induced floods and heatwaves, with potential cumulative GDP losses between 6.6% and 23.5% by 2048 depending on global warming levels. The eastern and coastal provinces of Jiangsu and Zhejiang are particularly at risk, which could trigger global supply chain disruptions given their role as hubs for electrical manufacturing, cement, and shipping. Projections indicate that river floods could cause cumulative losses of USD 479 billion by 2035, with indirect costs often exceeding direct damages. Additionally, heatwaves are expected to reduce working capacity in key manufacturing regions by up to 2.04% under a >3°C scenario, driven by health-related productivity losses and reduced cognitive performance.","ai_generated":true,"unit":"zca-000092#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"China's economy is highly vulnerable to climate disasters, with cumulative GDP losses projected between 6.6% and 23.5% by 2048 for warming scenarios of <2°C and >3°C, respectively. A mid-case scenario of 2.6°C warming suggests a cumulative GDP loss of 18.1%.","ai_generated":true,"unit":"zca-000092#insight-1","date_modified":"2026-10-23"},{"text":"The eastern and coastal provinces of Jiangsu and Zhejiang are identified as the most affected regions. Because these areas are global hubs for the production of personal computers (over 90%), air conditioners (80%), mobile phones (70%), cement (60%), and shipping vessels (45%), climate disruptions there are likely to impact global supply chains.","ai_generated":true,"unit":"zca-000092#insight-2","date_modified":"2026-10-23"},{"text":"River floods are projected to cause some of the highest economic losses globally over the next two decades, with cumulative losses reaching USD 479 billion by 2035. In a 4°C warming scenario by the end of the century, annual river flooding costs could reach USD 385 billion, with indirect costs (USD 256 billion) significantly outweighing direct costs (USD 129 billion).","ai_generated":true,"unit":"zca-000092#insight-3","date_modified":"2026-10-23"},{"text":"Heatwaves threaten labor productivity and health, particularly in the southeastern manufacturing regions of Guangdong, Jiangsu, and Zhejiang. Under a >3°C scenario, these key manufacturing regions could lose up to 2.04% of their working capacity, compared to 0.91% under a <2°C scenario.","ai_generated":true,"unit":"zca-000092#insight-4","date_modified":"2026-10-23"}],"climate_tags":["heat wave","economic loss","industrial manufacturing","supply chain","climate change adaptation","gross domestic product"],"geography_discussed":["Jiangsu","Zhejiang","Zhengzhou","Guangdong","North China Plain"],"frame_perspective":[],"analysis_type":["economic assessment","risk projection"]},{"id":"cliinstca-000130","url":"https://climateinsightsdirectory.org/document/cliinstca-000130","title":"La pointe de l'iceberg","publisher":{"name":"Canadian Climate Institute","organization":"canadian-climate-institute"},"document_type":"fact sheet","language":"fr","date_published":"2020-12-03","source_url":"https://institutclimatique.ca/reports/la-pointe-de-iceberg/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed"],"summary":{"text":"The document highlights the escalating financial burden of climate change in Canada, noting that insured catastrophic losses from 2010 to 2019 were double those from 1983 to 2009. It emphasizes that 1.8 million Canadian homes face very high flood risks and calls for decisive investment in resilience to protect the economy, nature, and public health.","ai_generated":true,"unit":"cliinstca-000130#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Weather-related catastrophic losses in Canada have increased dramatically, with the cost of insured losses between 2010 and 2019 being twice as high as the total from 1983 to 2009. The average cost per disaster has risen by 1250% since the 1970s, and annual climate-related costs now equal approximately 5% to 6% of annual GDP growth.","ai_generated":true,"unit":"cliinstca-000130#insight-1","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate resilience","economic loss","flood","wildfire"],"geography_discussed":["Alberta"],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000855","url":"https://climateinsightsdirectory.org/document/cdkn-000855","title":"Why invest in resilience?","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"policy brief","language":"en","date_published":"2020-10","source_url":"https://cdkn.org/sites/default/files/files/Why-invest-in-resilience_A-BRACC-policy-brief.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document highlights that Malawi loses approximately 1.7% of its GDP annually to droughts and floods, a rate significantly higher than the average for Least Developed Countries. It advocates for a 'triple dividend' approach to resilience—avoided losses, unlocked development potential, and co-benefits—noting that benefit-cost ratios for such investments can range from 3:1 to 50:1. The brief provides evidence from infrastructure, social protection, and climate-smart agriculture to support the claim that proactive resilience is more cost-effective than humanitarian aid.","ai_generated":true,"unit":"cdkn-000855#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Extreme weather events in Malawi cause significant and frequent economic losses, with an estimated average annual loss of 1.7% of GDP due to combined droughts and floods, which is over five times the 0.3% average for Least Developed Countries (LDCs).","ai_generated":true,"unit":"cdkn-000855#insight-1","date_modified":"2026-10-23"},{"text":"Specific recent disasters have severely impacted Malawi's GDP: the 2015 floods reduced annual GDP growth by 0.6%, the 2016 drought had a cumulative impact of 5.6% of GDP, and the 2019 floods from cyclone Idai caused production losses costing 0.13% of GDP.","ai_generated":true,"unit":"cdkn-000855#insight-2","date_modified":"2026-10-23"},{"text":"Climate models predict continued warming and a higher likelihood of extreme rainfall events in Malawi, with economic implications projected to become significantly more severe after 2050.","ai_generated":true,"unit":"cdkn-000855#insight-3","date_modified":"2026-10-23"},{"text":"Resilience investments provide a 'triple dividend': the first is avoided losses (lives, infrastructure, and economic); the second is unlocked development potential (e.g., encouraging household savings and entrepreneurship); and the third is co-benefits from disaster risk management that contribute to development gains.","ai_generated":true,"unit":"cdkn-000855#insight-4","date_modified":"2026-10-23"},{"text":"Resilience investments are highly cost-effective, with benefit-cost ratios generally exceeding 3:1 and reaching as high as 50:1 depending on the sector.","ai_generated":true,"unit":"cdkn-000855#insight-5","date_modified":"2026-10-23"},{"text":"In the agriculture sector, drought-focused climate-smart interventions in 53 villages in Malawi's Mzimba district realized US$24 of net benefits for every dollar invested.","ai_generated":true,"unit":"cdkn-000855#insight-6","date_modified":"2026-10-23"},{"text":"Evidence from other regions shows that every US$1 spent on safety nets or resilience programming in Kenya, Ethiopia, and Somalia results in net benefits between US$2.3 and US$3.3, and infrastructure resilience investments can yield a US$4 return for every dollar spent.","ai_generated":true,"unit":"cdkn-000855#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate resilience","disaster risk reduction","climate finance","Climate-smart agriculture","social protection","infrastructure resilience","drought","flood","economic loss","climate change adaptation"],"geography_discussed":["Kenya","Ethiopia","Somalia","Angola","Tanzania","Zambia","Bangladesh","Mzimba District"],"frame_perspective":[],"analysis_type":["economic analysis","policy recommendation"]},{"id":"trendas-000060","url":"https://climateinsightsdirectory.org/document/trendas-000060","title":"UNMASKING INDONESIA’S MOST TOXIC COAL FIRED POWER PLANTS","publisher":{"name":"Trend Asia","organization":"trend-asia"},"document_type":"report","language":"en","date_published":null,"source_url":"https://trendasia.org/wp-content/uploads/2026/06/ENG-Buku_TOXIC-20.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report by Trend Asia, CELIOS, and CREA identifies the 20 most toxic coal-fired power plants (CFPPs) in Indonesia, termed the \"Toxic Twenty.\" It analyzes the severe public health, economic, and environmental costs associated with these facilities, arguing that current government retirement roadmaps are insufficient and often delayed by a reliance on unproven technologies like co-firing and CCS/CCUS. The report provides detailed case studies for several plants, documenting widespread respiratory illnesses, loss of traditional livelihoods in fisheries and agriculture, and significant negative impacts on regional GDP.","ai_generated":true,"unit":"trendas-000060#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The \"Toxic Twenty\" coal-fired power plants are projected to cause at least 156,000 premature deaths from air pollution and generate economic losses of USD 109 billion (approximately IDR 1,813 trillion) between 2026 and 2050.","ai_generated":true,"unit":"trendas-000060#insight-1","date_modified":"2026-08-17"},{"text":"The operation of these 20 plants results in an annual economic loss of IDR 52.4 trillion, including an estimated reduction in household income of IDR 48.4 trillion.","ai_generated":true,"unit":"trendas-000060#insight-2","date_modified":"2026-08-17"},{"text":"Environmental degradation from the Toxic Twenty has led to the loss of an estimated 1.45 million jobs, primarily in the fisheries, plantation, and agriculture sectors.","ai_generated":true,"unit":"trendas-000060#insight-3","date_modified":"2026-08-17"},{"text":"Health impacts linked to CFPP pollution include stroke, ischemic heart disease, lower respiratory infections, chronic obstructive pulmonary disease (COPD), lung cancer, and diabetes.","ai_generated":true,"unit":"trendas-000060#insight-4","date_modified":"2026-08-17"},{"text":"Foreign institutions and countries dominate the financing of the Toxic Twenty, with Japan as the largest financier (63,328 MW), followed by China (18,815 MW) and the United Kingdom (10,325 MW).","ai_generated":true,"unit":"trendas-000060#insight-5","date_modified":"2026-08-17"},{"text":"The Suralaya CFPP complex in Banten is identified as the most toxic, causing 1,063 premature adult deaths and 8 child deaths per year, with an annual economic burden of USD 1.04 billion.","ai_generated":true,"unit":"trendas-000060#insight-6","date_modified":"2026-08-17"},{"text":"The Paiton CFPP complex in East Java is associated with 612 adult deaths and 2 child deaths annually, and causes an annual economic burden of USD 408 million.","ai_generated":true,"unit":"trendas-000060#insight-7","date_modified":"2026-08-17"},{"text":"The Cirebon CFPP in West Java causes an estimated 1,109 adult deaths and 4 child deaths per year, with an annual economic burden of USD 737 million.","ai_generated":true,"unit":"trendas-000060#insight-8","date_modified":"2026-08-17"},{"text":"The Tanjung Jati B CFPP in Central Java is linked to 470 adult deaths and 2 child deaths annually, creating an economic burden of USD 314 million per year.","ai_generated":true,"unit":"trendas-000060#insight-9","date_modified":"2026-08-17"},{"text":"The Cilacap CFPP in Central Java is associated with 1,435 adult deaths and 6 child deaths per year, resulting in an annual economic burden of USD 953 million.","ai_generated":true,"unit":"trendas-000060#insight-10","date_modified":"2026-08-17"},{"text":"Biomass co-firing is criticized as a \"greenwashing\" maneuver used to prolong the operational life of aging coal plants rather than facilitating a genuine energy transition.","ai_generated":true,"unit":"trendas-000060#insight-11","date_modified":"2026-08-17"},{"text":"The report critiques the government's use of the Analytical Hierarchy Process (AHP) for retirement planning, noting that it assigns a higher weight to financing (27.1%) than to greenhouse gas emissions (9.3%) or the energy transition (10.1%).","ai_generated":true,"unit":"trendas-000060#insight-12","date_modified":"2026-08-17"},{"text":"The Batang CFPP has caused significant social conflict, including reports of intimidation and physical violence against landowners by state security apparatus and hired thugs.","ai_generated":true,"unit":"trendas-000060#insight-13","date_modified":"2026-08-17"},{"text":"The Ombilin CFPP in West Sumatra has been linked to severe respiratory issues in children, with one screening showing 66% of elementary students had developed respiratory disorders including chronic bronchitis and pulmonary TB.","ai_generated":true,"unit":"trendas-000060#insight-14","date_modified":"2026-08-17"},{"text":"The Pangkalan Susu CFPP in North Sumatra is linked to high rates of skin diseases and respiratory infections, with an investigation finding 243 instances of skin disease among residents.","ai_generated":true,"unit":"trendas-000060#insight-15","date_modified":"2026-08-17"}],"climate_tags":["energy transition","coal phase-out","air pollution","public health","economic loss","biomass co-firing","greenwashing","just energy transition"],"geography_discussed":["Banten","East Java","West Java","Central Java","South Sumatra","West Sumatra","North Sumatra","Bali"],"frame_perspective":[],"analysis_type":["Health Impact Assessment","Economic Modeling","Case Study","Policy Critique"]},{"id":"trendas-000064","url":"https://climateinsightsdirectory.org/document/trendas-000064","title":"DAFTAR HITAM 20 PLTU PALING BERBAHAYA DI INDONESIA","publisher":{"name":"Trend Asia","organization":"trend-asia"},"document_type":"report","language":"id","date_published":null,"source_url":"https://trendasia.org/wp-content/uploads/2026/06/FINAL-INDO-Buku_TOXIC-20.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies the 'Toxic Twenty' coal-fired power plants in Indonesia, estimating that between 2026 and 2050, they will cause 156,000 premature deaths and USD 109 billion in health-related economic losses. It argues that these plants create a net economic drain, reducing regional GDP and destroying livelihoods in agriculture and fisheries, while criticizing the government's reliance on 'false solutions' like biomass co-firing to extend the life of fossil fuel infrastructure.","ai_generated":true,"unit":"trendas-000064#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 'Toxic Twenty' coal-fired power plants are projected to cause at least 156,000 premature deaths due to air pollution between 2026 and their final operational year in 2050.","ai_generated":true,"unit":"trendas-000064#insight-1","date_modified":"2026-10-23"},{"text":"The economic cost of health losses resulting from the 20 most dangerous power plants is estimated at USD 109 billion (approximately Rp1,813 trillion) from 2026 to 2050.","ai_generated":true,"unit":"trendas-000064#insight-2","date_modified":"2026-10-23"},{"text":"The operational impact of these 20 plants leads to an annual aggregate reduction in community income of Rp48.4 trillion and an overall economic loss of Rp52.4 trillion per year.","ai_generated":true,"unit":"trendas-000064#insight-3","date_modified":"2026-10-23"},{"text":"Approximately 1.45 million jobs have been lost or negatively impacted due to the operation of these 20 plants, primarily affecting workers in the agriculture, plantation, and fisheries sectors due to environmental pollution.","ai_generated":true,"unit":"trendas-000064#insight-4","date_modified":"2026-10-23"},{"text":"The report argues that biomass co-firing is used as a 'false green solution' or 'green mask' to extend the operational life of old coal plants rather than facilitating a genuine energy transition.","ai_generated":true,"unit":"trendas-000064#insight-5","date_modified":"2026-10-23"},{"text":"Financing for these dangerous plants is dominated by foreign entities, with Japan recorded as the largest funder (63,328 MW), followed by China (18,815 MW) and the UK (10,325 MW).","ai_generated":true,"unit":"trendas-000064#insight-6","date_modified":"2026-10-23"},{"text":"The report criticizes the government's use of the Analytical Hierarchy Process (AHP) for determining plant retirement, noting that funding is weighted at 27.1%, while environmental factors like greenhouse gas emissions and energy transition are weighted significantly lower at 9.3% and 10.1% respectively.","ai_generated":true,"unit":"trendas-000064#insight-7","date_modified":"2026-10-23"}],"climate_tags":["coal-fired power station","energy transition","air pollution","public health","climate finance","Cofiring","decarbonization","just transition","economic loss","carbon dioxide emissions"],"geography_discussed":["Banten","East Java","West Java","Central Java","South Sumatra","West Sumatra","North Sumatra","Bali"],"frame_perspective":[],"analysis_type":["economic impact analysis","health impact assessment","policy critique"]},{"id":"wri-000736","url":"https://climateinsightsdirectory.org/document/wri-000736","title":"Paying the Premium","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.wri.org/research/paying-premium","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document argues that well-designed disaster risk management strategies, including insurance, are essential adaptation investments to protect developing countries from the increasing economic damages of climate-related disasters. Insurance is presented as a tool to transfer risk, provide immediate liquidity, and build resilience by allowing markets to share the costs of adaptation.","ai_generated":true,"unit":"wri-000736#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change is expected to increase the frequency and intensity of weather-related hazards like droughts and storms, which will likely increase economic damages, particularly in developing countries that lack the capacity to cope.","ai_generated":true,"unit":"wri-000736#insight-1","date_modified":"2026-10-23"},{"text":"Effective disaster risk management strategies are critical adaptation investments that include structural interventions, early warning systems, local responses, and insurance.","ai_generated":true,"unit":"wri-000736#insight-2","date_modified":"2026-10-23"},{"text":"Insurance can enhance resilience for the poor and vulnerable by transferring the risk of future losses to providers, ensuring immediate financial liquidity after a disaster, and utilizing markets to cover some adaptation costs.","ai_generated":true,"unit":"wri-000736#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","disaster risk reduction","insurance","climate resilience","economic loss","early warning system"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy analysis"]}]}