{"query_echo":{"q":"","filters":{"analysis_type":["quantitative analysis"]},"warnings":[]},"total":{"value":472,"relation":"eq"},"page":11,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=quantitative+analysis&page=11","next":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=quantitative+analysis&page=12","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-001980","url":"https://climateinsightsdirectory.org/document/sei-001980","title":"Toidujäätmete ja toidukao teke Eesti toidutarneahelas","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"et","date_published":"2021-05","source_url":"https://www.sei.org/wp-content/uploads/2021/05/toidujaatmete-ja-toidukao-teke-eesti-toidutarneahelas-2021.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"Estonia generates approximately 167,000 tons of food waste annually, equivalent to 127 kg per capita. Households are the largest contributors, accounting for 48% of total waste and 40% of total food loss. The total monetary value of food wasted in the supply chain is estimated at €164 million per year. The report details waste patterns across sectors, identifying spoilage in households and inadequate sales planning in retail as primary drivers, while recommending strategic roadmaps, improved monitoring, and expanded food donation systems to reduce these losses.","ai_generated":true,"unit":"sei-001980#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Estonia generates approximately 166,513 tons of food waste per year, which averages 126.5 kg per person. The distribution across the supply chain is: households (48%), food industry (19%), primary production (14%), trade (12%), and catering (6%).","ai_generated":true,"unit":"sei-001980#insight-1","date_modified":"2026-10-23"},{"text":"Food loss (avoidable food waste) accounts for 50% of total food waste, totaling about 83,696 tons annually. The total estimated monetary value of this wasted food is €164 million per year.","ai_generated":true,"unit":"sei-001980#insight-2","date_modified":"2026-10-23"},{"text":"Estonian households generate about 81,000 tons of food waste annually, with 42% (approx. 34,000 tons) being avoidable food loss. This represents an increase in both total waste (13%) and food loss (33%) compared to 2014, suggesting that higher incomes have led to more waste.","ai_generated":true,"unit":"sei-001980#insight-3","date_modified":"2026-10-23"},{"text":"In households, the primary cause of food loss is spoilage, occurring in 49% of cases. The most discarded food groups are vegetables (32% of avoidable waste), followed by cooked food residues (23%), fruits and berries (18%), and dairy products (13%).","ai_generated":true,"unit":"sei-001980#insight-4","date_modified":"2026-10-23"},{"text":"The catering sector generates approximately 11,000 tons of food waste annually. About 74% of this is avoidable food loss, with the main cause being food left on plates by customers (averaging 71% of food loss).","ai_generated":true,"unit":"sei-001980#insight-5","date_modified":"2026-10-23"},{"text":"Retail stores generate approximately 20,000 tons of food waste (all considered avoidable food loss) annually. Fruits and vegetables make up 49% of unsold goods. The primary causes are inadequate sales planning and consumer behavior.","ai_generated":true,"unit":"sei-001980#insight-6","date_modified":"2026-10-23"},{"text":"The food industry generates about 32,000 tons of food waste, but avoidable food loss is low at approximately 10% (3,200 tons) because most waste is inedible production by-products. Fruit and vegetable processing is the largest contributor (52%).","ai_generated":true,"unit":"sei-001980#insight-7","date_modified":"2026-10-23"},{"text":"Primary production generates approximately 24,000 tons of food waste annually, of which 82% is food loss. Potato cultivation is the largest source, accounting for nearly 60% of primary production food waste.","ai_generated":true,"unit":"sei-001980#insight-8","date_modified":"2026-10-23"},{"text":"In primary production, milk production reported no food waste but a production loss of 3.5% of volume, primarily due to somatic cell counts and antibiotics during milking. Wheat cultivation saw 1.2% of production discarded as food waste, mainly during pre-cleaning.","ai_generated":true,"unit":"sei-001980#insight-9","date_modified":"2026-10-23"}],"climate_tags":["food waste","circular economy","sustainable consumption","resource efficiency"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis","comparative analysis","sectoral analysis"]},{"id":"gem-000080","url":"https://climateinsightsdirectory.org/document/gem-000080","title":"繁荣与衰落","publisher":{"name":"Global Energy Monitor","organization":"global-energy-monitor"},"document_type":"report","language":"zh","date_published":"2021-04","source_url":"https://globalenergymonitor.org/sites/default/files/migration/reports/BoomAndBust_2021_Chinese_final_11.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"In 2020, global coal power capacity grew by 12.5 GW for the first time since 2015, driven primarily by China, which accounted for 76% of new commissions. While the US and EU saw record retirements, China's new capacity of 38.4 GW offset these gains. Meanwhile, South and Southeast Asian nations, including Indonesia, Vietnam, and the Philippines, significantly reduced their planned coal pipelines due to financing difficulties and the falling cost of renewables. The report concludes that current global trajectories remain far from the IPCC 1.5C pathway, which would require the cancellation or retirement of an additional 1,350 GW by 2030.","ai_generated":true,"unit":"gem-000080#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"China's coal expansion in 2020 was fueled by provincial governments using coal projects to stimulate the economy following COVID-19 slowdowns, supported by relaxed central government approval restrictions and increased lending for large projects.","ai_generated":true,"unit":"gem-000080#insight-1","date_modified":"2026-10-23"}],"climate_tags":["coal-fired power station","energy transition","climate finance","renewable energy","decarbonization","carbon neutrality","emission intensity"],"geography_discussed":["United States","European Union","India","South Korea","Turkey","Australia","Egypt","South Africa","Chile"],"frame_perspective":[],"analysis_type":["quantitative analysis","trend analysis","policy assessment"]},{"id":"gem-000086","url":"https://climateinsightsdirectory.org/document/gem-000086","title":"BÙNG NỔ VÀ THOÁI TRÀO 2021","publisher":{"name":"Global Energy Monitor","organization":"global-energy-monitor"},"document_type":"report","language":"vi","date_published":"2021-04","source_url":"https://globalenergymonitor.org/sites/default/files/migration/reports/BoomAndBust_2021_VN_final_11.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report highlights a global divergence in coal power: while most of the world saw record closures and project cancellations, China experienced a significant boom in new capacity, offsetting global declines. In 2020, China's new coal capacity reached 38.4 GW, accounting for 76% of the global total. Conversely, the US and EU27 led in closures, with 11.3 GW and 10.1 GW retired respectively. In South and Southeast Asia, countries like Vietnam, Indonesia, the Philippines, and Bangladesh announced plans to cut up to 62 GW of planned coal capacity due to funding difficulties and the falling cost of renewables. The report also notes that global coal capacity is far exceeding the levels required to meet the IPCC's 1.5°C warming limit, with a projected 2,400 GW by 2030 compared to the required 1,100 GW.","ai_generated":true,"unit":"gem-000086#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"China's rapid expansion of coal power in 2020 offset closures in the rest of the world, leading to the first increase in total global new coal capacity since 2015. China added 38.4 GW of new capacity, representing 76% of the global total of 50.3 GW.","ai_generated":true,"unit":"gem-000086#insight-1","date_modified":"2026-10-23"},{"text":"Global coal plant closures reached a record high of 37.8 GW in 2020, with the United States (11.3 GW) and the EU27 (10.1 GW) being the primary contributors.","ai_generated":true,"unit":"gem-000086#insight-2","date_modified":"2026-10-23"},{"text":"In South and Southeast Asia, Indonesia, Bangladesh, the Philippines, and Vietnam planned to cancel projects totaling 62 GW, reducing their combined pre-construction pipeline from 125.5 GW in 2015 to approximately 25.2 GW.","ai_generated":true,"unit":"gem-000086#insight-3","date_modified":"2026-10-23"},{"text":"The United States saw record coal retirements under President Donald Trump, with 52.4 GW closed during his term compared to 48.9 GW during Barack Obama's second term. President Joe Biden has committed to a carbon-free power sector by 2035, though current plans only account for closing one-third of operating capacity (76.6 GW of 233.6 GW) by that date.","ai_generated":true,"unit":"gem-000086#insight-4","date_modified":"2026-10-23"},{"text":"India's coal expansion has slowed significantly, with only 0.7 GW net increase in 2020. Proposed new capacity dropped nearly 90% from 238.2 GW in 2015 to 29.3 GW in 2020, driven by the competitiveness of solar and wind power.","ai_generated":true,"unit":"gem-000086#insight-5","date_modified":"2026-10-23"},{"text":"Global coal capacity projections for 2030 are approximately 2,400 GW, which is significantly higher than the 1,100 GW limit required by the IPCC to maintain a 1.5°C temperature increase. To meet this goal, 1,350 GW of capacity must be cancelled or closed.","ai_generated":true,"unit":"gem-000086#insight-6","date_modified":"2026-10-23"},{"text":"Financial institutions are increasingly restricting coal funding, with 73 new restrictions reported in 2020. However, significant funding still flows through corporate loans and guarantees, particularly from Chinese and Japanese banks.","ai_generated":true,"unit":"gem-000086#insight-7","date_modified":"2026-10-23"},{"text":"Vietnam's coal capacity grew rapidly since 2015, but the government is now shifting toward renewables. The draft Power Development Plan 8 (PDP8) proposes reducing coal capacity to 37 GW by 2030, a 51% decrease from the 75 GW planned in PDP7.","ai_generated":true,"unit":"gem-000086#insight-8","date_modified":"2026-10-23"}],"climate_tags":["coal power","energy transition","climate finance","renewable energy","carbon neutrality","greenhouse gas emissions","Grid decarbonization","Paris Agreement"],"geography_discussed":["People's Republic of China","United States","European Union","Vietnam","India","Indonesia","Philippines","Bangladesh","South Korea","Japan","Turkey","Australia","South Africa","Egypt","Zimbabwe","Mexico","Chile"],"frame_perspective":[],"analysis_type":["quantitative analysis","policy review","financial assessment"]},{"id":"commyale-000042","url":"https://climateinsightsdirectory.org/document/commyale-000042","title":"Understanding the Health Harms of Climate Change: A Six Americas Analysis","publisher":{"name":"Yale Program on Climate Change Communication","organization":"yale-program-on-climate-change-communication"},"document_type":"research paper","language":"en","date_published":"2021-03-30","source_url":"https://climatecommunication.yale.edu/publications/understanding-the-health-harms-of-climate-change-a-six-americas-analysis/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The analysis finds a significant increase in the proportion of Americans who recognize the health risks of climate change between 2014 and 2020. This growth in awareness occurred across most audience segments, including those with low engagement, while those skeptical of climate change showed little to no change in perception.","ai_generated":true,"unit":"commyale-000042#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2014 and 2020, the proportion of the U.S. population identifying as 'Alarmed' about climate change more than doubled, and by April 2020, over 50% of American adults fell into either the 'Alarmed' (26%) or 'Concerned' (28%) segments.","ai_generated":true,"unit":"commyale-000042#insight-1","date_modified":"2026-10-23"},{"text":"Public recognition of health harms from climate change increased substantially between 2014 and 2020. For instance, the percentage of Americans expecting increased bodily harm from severe storms and hurricanes rose from 34% to 57%, and those expecting increased harm from wildfires rose from 26% to 54%.","ai_generated":true,"unit":"commyale-000042#insight-2","date_modified":"2026-10-23"},{"text":"Awareness of health threats grew among the Alarmed, Concerned, Cautious, and Disengaged segments, while the Doubtful and Dismissive segments showed little or no change in their risk perceptions.","ai_generated":true,"unit":"commyale-000042#insight-3","date_modified":"2026-10-23"},{"text":"The study tracked ten specific health risks: heat stroke from extreme heat waves; bodily harm from severe storms/hurricanes, wildfires, and flooding; asthma/lung diseases; insect-borne diseases (e.g., Lyme Disease, West Nile virus, dengue fever); food/waterborne illnesses; pollen-related allergies; depression; and severe anxiety.","ai_generated":true,"unit":"commyale-000042#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change","human health","hurricane","wildfire","flood","vector-borne disease","mental health"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis","comparative study"]},{"id":"clipolin-000065","url":"https://climateinsightsdirectory.org/document/clipolin-000065","title":"Improving the Impact of Fiscal Stimulus in Asia: An Analysis of Green Recovery Investments and Opportunities","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2021-02-17","source_url":"https://www.climatepolicyinitiative.org/publication/improving-the-impact-of-fiscal-stimulus-in-asia-an-analysis-of-green-recovery-investments-and-opportunities/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"This report by the Climate Policy Initiative and Vivid Economics analyzes the 'greenness' of COVID-19 recovery stimulus packages in five Asian countries—India, Indonesia, the Philippines, Singapore, and South Korea—using the Greenness of Stimulus Index (GSI). The study finds that most of these nations are not sufficiently incorporating climate considerations into their fiscal responses, with 'dirty' stimulus often outweighing green measures.","ai_generated":true,"unit":"clipolin-000065#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"Between February 2020 and the time of the report, India, Indonesia, the Philippines, Singapore, and South Korea announced a combined total of USD 884 billion in COVID-19 recovery stimulus packages.","ai_generated":true,"unit":"clipolin-000065#insight-1","date_modified":"2026-08-17"},{"text":"South Korea provided the largest total stimulus package at USD 333.7 billion, followed closely by India at USD 332.9 billion. In terms of the share of GDP, Singapore provided the largest recovery package at 24%, followed by South Korea (20%), India (12%), Indonesia (6%), and the Philippines (4%).","ai_generated":true,"unit":"clipolin-000065#insight-2","date_modified":"2026-08-17"},{"text":"The analysis indicates that most analyzed countries are failing to prioritize green outcomes in their stimulus. South Korea has the highest share of green stimulus measures at 53% of environmentally related measures, while India allocated 31% and Indonesia 4%. The Philippines and Singapore are reported to have included no commitment toward green outcomes.","ai_generated":true,"unit":"clipolin-000065#insight-3","date_modified":"2026-08-17"},{"text":"The report concludes that 'dirty' stimulus outweighs green measures in almost all analyzed cases. To improve this, the authors recommend that governments increase the size of stimulus for environmentally beneficial outcomes, integrate green conditionalities for bailouts of damaging activities, and introduce a wider range of support such as R&D subsidies and tax reductions for green products.","ai_generated":true,"unit":"clipolin-000065#insight-4","date_modified":"2026-08-17"}],"climate_tags":["fiscal stimulus","green recovery","sustainable infrastructure","renewable energy"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis","policy review"]},{"id":"client-000295","url":"https://climateinsightsdirectory.org/document/client-000295","title":"Accountability Emergency","publisher":{"name":"ClientEarth","organization":"clientearth"},"document_type":"report","language":"en","date_published":"2021-02","source_url":"https://www.clientearth.org/media/wbglw3r3/clientearth-accountability-emergency.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"ClientEarth's review of 250 large UK-listed companies reveals a systemic failure to provide material climate-related financial information, with only 4% including such factors in financial accounts and 4% of auditors explicitly addressing them. While narrative risk disclosures are improving, they are often boilerplate. The report recommends mandatory TCFD-aligned reporting, stronger regulatory enforcement to prevent 'greenwash', and increased investor stewardship.","ai_generated":true,"unit":"client-000295#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A vast majority of the reviewed companies failed to integrate climate change into their financial accounts, with only 4% providing a clear reference to climate change-related factors. For the remaining 93%, no reference was made at all.","ai_generated":true,"unit":"client-000295#insight-1","date_modified":"2026-10-23"},{"text":"Audit reports show a significant lack of accountability regarding climate risks; only 4% of audit reports clearly disclosed whether auditors had considered climate change-related factors.","ai_generated":true,"unit":"client-000295#insight-2","date_modified":"2026-10-23"},{"text":"Narrative disclosures regarding principal risks and uncertainties are improving but remain inconsistent, with 40% of companies providing clear references to climate change, while 40% provided no reference at all.","ai_generated":true,"unit":"client-000295#insight-3","date_modified":"2026-10-23"},{"text":"There is a marked disparity in reporting quality between the FTSE 100 and FTSE 250, with FTSE 100 companies being significantly more likely to disclose detailed climate-related information.","ai_generated":true,"unit":"client-000295#insight-4","date_modified":"2026-10-23"},{"text":"While 31% of companies disclosed targets aligned with the Paris Agreement or 'net-zero' objectives, these claims often lacked meaningful detail regarding strategies and methodologies, increasing the risk of 'greenwash'.","ai_generated":true,"unit":"client-000295#insight-5","date_modified":"2026-10-23"},{"text":"Greenhouse gas (GHG) reporting is generally high for Scope 1 and 2 emissions (82% clear disclosure), but Scope 3 emissions are only disclosed by 33% of companies and often lack transparent calculation methodologies.","ai_generated":true,"unit":"client-000295#insight-6","date_modified":"2026-10-23"},{"text":"Adoption of the Task Force on Climate-Related Financial Disclosures (TCFD) recommendations is uneven, with 44% of the total reviewed companies making a clear reference to them, though this rises to 71% for FTSE 100 companies.","ai_generated":true,"unit":"client-000295#insight-7","date_modified":"2026-10-23"},{"text":"Companies not subject to the UK Companies Act 2006, such as investment trusts or those incorporated in other jurisdictions, exhibit very limited climate disclosures, creating a significant data gap.","ai_generated":true,"unit":"client-000295#insight-8","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","Scope 2","Scope 3","carbon neutrality","Paris Agreement","climate risk","greenwashing","fiduciary"],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["quantitative analysis","comparative analysis","sectoral analysis"]},{"id":"prio-001404","url":"https://climateinsightsdirectory.org/document/prio-001404","title":"Systematic review of determinants of migration aspirations","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"report","language":"en","date_published":"2021-01-29","source_url":"https://cdn.cloud.prio.org/files/c3fa5331-105a-4f5a-b6e4-04145deee849/Full text PDF 4MB.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report synthesizes findings from 49 peer-reviewed articles and 72 distinct analyses to determine what factors drive individuals to aspire to migrate. It employs a two-step model distinguishing between the formation of aspirations and their conversion into actual migration. The review identifies 32 determinants across demographic, socio-economic, individual, contextual, and migration-related domains. Key findings indicate that migration aspirations are most strongly and consistently driven by youth, male gender, the presence of migration networks, a history of international travel, and exposure to violence or insecurity. Conversely, aspirations are consistently lowered by increasing age, higher subjective well-being, and strong social attachment to the community of origin. The document also notes a significant research gap in the 'conversion' phase—how aspirations translate into actual movement—due to the logistical challenges of longitudinal panel data collection.","ai_generated":true,"unit":"prio-001404#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Age is one of the most consistent determinants of migration aspirations, with younger individuals being significantly more likely to aspire to international moves, particularly among adults and young adults.","ai_generated":true,"unit":"prio-001404#insight-1","date_modified":"2026-10-23"},{"text":"Gender norms strongly influence aspirations, with men generally being more likely to aspire to migrate, often driven by roles as household providers or rites of passage into manhood.","ai_generated":true,"unit":"prio-001404#insight-2","date_modified":"2026-10-23"},{"text":"Marital status typically has a negative effect on migration aspirations, as single individuals are overwhelmingly more likely to want to migrate than those who are married or cohabiting.","ai_generated":true,"unit":"prio-001404#insight-3","date_modified":"2026-10-23"},{"text":"Higher educational attainment is generally associated with a higher likelihood of migration aspirations, although the causal direction remains ambiguous.","ai_generated":true,"unit":"prio-001404#insight-4","date_modified":"2026-10-23"},{"text":"Subjective well-being and life satisfaction are strong negative predictors of migration aspirations; individuals who are happier or more satisfied with life are less likely to want to leave.","ai_generated":true,"unit":"prio-001404#insight-5","date_modified":"2026-10-23"},{"text":"Contextual factors at the country or community level, specifically violence, insecurity, and corruption, consistently increase migration aspirations.","ai_generated":true,"unit":"prio-001404#insight-6","date_modified":"2026-10-23"},{"text":"Social attachment, national pride, and community cohesion act as deterrents to migration, generally reducing the likelihood of aspiring to move.","ai_generated":true,"unit":"prio-001404#insight-7","date_modified":"2026-10-23"},{"text":"Migration-related factors, including existing migration networks, personal or family migration history, and the receipt of remittances, overwhelmingly increase the likelihood of migration aspirations.","ai_generated":true,"unit":"prio-001404#insight-8","date_modified":"2026-10-23"},{"text":"Positive perceptions of potential destination countries, particularly regarding economic opportunities and living conditions, generally raise migration aspirations.","ai_generated":true,"unit":"prio-001404#insight-9","date_modified":"2026-10-23"},{"text":"There is a significant lack of research on the 'conversion' of aspirations into actual migration, but available data suggests that while aspirations are a robust predictor of movement, many aspiring migrants never actually migrate due to obstacles or changes in mind.","ai_generated":true,"unit":"prio-001404#insight-10","date_modified":"2026-10-23"}],"climate_tags":["governance"],"geography_discussed":["Europe","Central Asia","Latin America","Caribbean","Middle East","North Africa","sub-Saharan Africa","East Asia","Kyrgyzstan","Mexico","Burkina Faso","Eritrea","India","The Gambia","Romania","Senegal","Morocco","Egypt","Lebanon","Tunisia","Turkey","Kosovo"],"frame_perspective":[],"analysis_type":["systematic review","quantitative analysis","qualitative synthesis"]},{"id":"cssn-000032","url":"https://climateinsightsdirectory.org/document/cssn-000032","title":"Bots and Online Climate Discourses: Twitter Discourse on President Trump's Announcement of U.S. Withdrawal from the Paris Agreement","publisher":{"name":"Climate Social Science Network","organization":"climate-social-science-network"},"document_type":"research paper","language":"en","date_published":"2021-01-19","source_url":"https://cssn.org/bots-and-online-climate-discourses-twitter-discourse-on-president-trumps-announcement-of-u-s-withdrawal-from-the-paris-agreement/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study analyzed 6.8 million tweets to determine the influence of bots on climate change discourse. While the immediate response to President Trump's announcement of the U.S. withdrawal from the Paris Agreement showed low bot presence, suspected bots were responsible for approximately 25% of original tweets before and after the event, particularly within denialist discourses.","ai_generated":true,"unit":"cssn-000032#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Analysis of 6.8 million tweets revealed that suspected bots were responsible for approximately 25% of original tweets during the periods preceding and following the announcement of the U.S. withdrawal from the Paris Agreement.","ai_generated":true,"unit":"cssn-000032#insight-1","date_modified":"2026-10-23"},{"text":"The immediate online social movement response to President Trump's June 1, 2017, announcement of the U.S. withdrawal from the Paris Agreement was characterized by a very low presence of suspected bots.","ai_generated":true,"unit":"cssn-000032#insight-2","date_modified":"2026-10-23"},{"text":"Suspected bots appeared more frequently in specific topic areas, specifically those involving denialist discourses that question the importance or reality of climate change.","ai_generated":true,"unit":"cssn-000032#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation","Paris Agreement"],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["quantitative analysis","bot detection"]},{"id":"prio-000501","url":"https://climateinsightsdirectory.org/document/prio-000501","title":"Weather, wheat, and war: Security implications of climate variability for conflict in Syria – Peace Research Institute Oslo (PRIO)","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2021-01-07","source_url":"https://www.prio.org/publications/12739","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The study analyzes conflict events across 272 Syrian subdistricts to determine the relationship between agricultural cycles, drought, and violence. It finds that both government and rebel-initiated attacks were more frequent during growing seasons, with dry conditions specifically correlating with an increase in government-initiated attacks over time.","ai_generated":true,"unit":"prio-000501#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Violent events initiated by both the Syrian government and rebel groups occurred more frequently during the local growing season compared to other times of the year.","ai_generated":true,"unit":"prio-000501#insight-1","date_modified":"2026-10-23"},{"text":"Dry conditions during the growing season were associated with an increase in attacks initiated by the government throughout the course of the war.","ai_generated":true,"unit":"prio-000501#insight-2","date_modified":"2026-10-23"},{"text":"The correlation between precipitation deficits and violence initiated by both the government and rebels was most pronounced in the later years of the conflict.","ai_generated":true,"unit":"prio-000501#insight-3","date_modified":"2026-10-23"}],"climate_tags":["drought","agriculture","food security"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis"]},{"id":"cssn-000051","url":"https://climateinsightsdirectory.org/document/cssn-000051","title":"Who’s Delaying Climate Action in Massachusetts? Twelve Findings","publisher":{"name":"Climate Social Science Network","organization":"climate-social-science-network"},"document_type":"report","language":"en","date_published":"2021-01","source_url":"https://cssn.org/wp-content/uploads/2021/01/MA-CSSN-Report-1.20.2021-Corrected-text.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report finds a stark contrast between public support for climate action in Massachusetts and the actual legislative outcomes. While approximately 90% of public testimony supports environmental priorities, ambitious legislation is frequently blocked by powerful industry coalitions—most notably regulated utilities and the Associated Industries of Massachusetts (AIM). The study identifies four primary opposition coalitions: utilities, fossil and chemical companies, real estate, and power generation companies. It highlights that utilities are uniquely successful in steering policy, often opposing decentralized solar energy while supporting large-scale wind and hydro projects that benefit their business models. Furthermore, the report notes a shift in opposition rhetoric from climate denial to 'discourses of delay,' such as policy perfectionism and appeals to social justice. The authors conclude that the lack of transparency in the State House, combined with the immense spending power of corporate lobbyists, creates a hostile environment for ambitious climate policy.","ai_generated":true,"unit":"cssn-000051#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Four distinct industry coalitions routinely oppose climate and clean energy bills: those led by utilities, fossil and chemical companies, real estate companies, and fossil fuel power generation companies. Among these, the utilities coalition is the largest and contains the highest-spending groups, specifically Eversource and the Associated Industries of Massachusetts.","ai_generated":true,"unit":"cssn-000051#insight-1","date_modified":"2026-10-23"},{"text":"There is an overwhelming gap between public testimony and legislative results; approximately 90% of all collected testimony on environmental priority bills from 2013 to 2018 supported the environmentalists' positions.","ai_generated":true,"unit":"cssn-000051#insight-2","date_modified":"2026-10-23"},{"text":"Corporate actors significantly outspend nonprofits in lobbying. On average, the top ten anti-green interest groups spent $165,122 per year, compared to $47,239 per year for the top ten pro-climate action groups, representing a 3.5-fold difference.","ai_generated":true,"unit":"cssn-000051#insight-3","date_modified":"2026-10-23"},{"text":"Regulated utilities, specifically National Grid and Eversource, exhibit a strategic preference for large-scale renewable energy (hydro and wind) that provides substantial contracts, while lobbying heavily against decentralized solar energy and net metering initiatives that reduce utility revenues.","ai_generated":true,"unit":"cssn-000051#insight-4","date_modified":"2026-10-23"},{"text":"Utility companies are the most successful actors in the legislative process; bills they support are more likely to pass, while those they oppose are most likely to fail. Between 2013 and 2018, only 43 of 245 introduced climate and energy bills made it out of the initial joint committee, and only 9 were voted on by the full legislature.","ai_generated":true,"unit":"cssn-000051#insight-5","date_modified":"2026-10-23"},{"text":"The Associated Industries of Massachusetts (AIM) acts as a powerful ally to utilities, frequently lobbying against rapid climate action, carbon pricing, and natural gas regulation, while arguing that existing laws are sufficient to reach net zero.","ai_generated":true,"unit":"cssn-000051#insight-6","date_modified":"2026-10-23"},{"text":"The fossil fuel industry, led by the Massachusetts Petroleum Council, consistently opposes divestment, fracking bans, and carbon pricing. Rather than denying climate change, they use 'discourses of delay' to argue that fossil fuels are an indispensable part of the economy.","ai_generated":true,"unit":"cssn-000051#insight-7","date_modified":"2026-10-23"},{"text":"The real estate industry, including the Greater Boston Real Estate Board and the Massachusetts Association of Realtors, opposes residential energy efficiency regulations by claiming such mandates would hurt homeowners in less affluent communities and decrease property values.","ai_generated":true,"unit":"cssn-000051#insight-8","date_modified":"2026-10-23"},{"text":"Power generators, primarily represented by the New England Power Generators Association (NEPGA), lobby against new large-scale renewable energy contracts and the importation of hydroelectricity from Canada, citing costs and the potential loss of in-state jobs.","ai_generated":true,"unit":"cssn-000051#insight-9","date_modified":"2026-10-23"},{"text":"Opponents of climate action have shifted from scientific denial to 'discourses of delay,' which include 'policy perfectionism' (arguing a bill is poorly designed), 'appeals to social justice' (claiming costs hurt the poor), 'fossil-fuel solutionism,' 'premature success-ism,' and 'individualism.'","ai_generated":true,"unit":"cssn-000051#insight-10","date_modified":"2026-10-23"},{"text":"The Massachusetts legislative structure itself acts as a barrier to climate action due to a lack of transparency, secret committee votes, and tight control by House leadership over committee assignments and the flow of information.","ai_generated":true,"unit":"cssn-000051#insight-11","date_modified":"2026-10-23"}],"climate_tags":["climate policy","clean energy","solar energy","wind power","hydropower","carbon price","carbon tax","fossil fuel","energy efficiency","climate target","fossil-fuel divestment","climate justice"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy analysis","political economy","quantitative analysis"]},{"id":"ember-000303","url":"https://climateinsightsdirectory.org/document/ember-000303","title":"The European Power Sector in 2020","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2021-01","source_url":"https://ember-energy.org/app/uploads/2024/10/European-Power-Sector-in-2020.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"In 2020, renewables became the EU's primary electricity source for the first time, generating 38% of electricity. While wind and solar growth remained robust despite the pandemic, the report argues that deployment must nearly triple to meet 2030 Green Deal targets. Coal generation fell by 20% in 2020, though this decline was partially offset by increased gas generation and a record 10% drop in nuclear output. Consequently, Europe's electricity carbon intensity fell to 226 grams of CO2 per kilowatt-hour in 2020, a 29% reduction since 2015.","ai_generated":true,"unit":"ember-000303#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Renewables surpassed fossil fuels as the primary source of electricity in the EU for the first time in 2020, accounting for 38% of generation compared to 37% for fossil-fired generation.","ai_generated":true,"unit":"ember-000303#insight-1","date_modified":"2026-10-23"},{"text":"Wind and solar power drove the growth of renewables, together providing 20% of Europe's electricity in 2020, with wind at 14% and solar at 5%.","ai_generated":true,"unit":"ember-000303#insight-2","date_modified":"2026-10-23"},{"text":"To achieve the 2030 Green Deal target of 55% greenhouse gas reductions, annual wind and solar generation growth must increase from a 2010-2020 average of 38 TWh to approximately 100 TWh per year.","ai_generated":true,"unit":"ember-000303#insight-3","date_modified":"2026-10-23"},{"text":"Coal generation decreased by 20% in 2020, falling to 365 terawatt-hours, which represents a 48% decline since 2015.","ai_generated":true,"unit":"ember-000303#insight-4","date_modified":"2026-10-23"},{"text":"Nuclear generation experienced a record decline of 10% in 2020, the largest drop since at least 1990, driven by outages in France and plant closures in Sweden and Germany.","ai_generated":true,"unit":"ember-000303#insight-5","date_modified":"2026-10-23"},{"text":"Gas generation fell by only 4% in 2020, as high carbon prices and low gas prices made it the cheapest fossil fuel option, even undercutting lignite in some months.","ai_generated":true,"unit":"ember-000303#insight-6","date_modified":"2026-10-23"},{"text":"The carbon intensity of Europe's electricity fell from 317 grams of CO2 per kilowatt-hour in 2015 to 226 grams in 2020, though 43% of the coal decline was offset by increased gas generation.","ai_generated":true,"unit":"ember-000303#insight-7","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","wind power","solar energy","bioenergy","hydroelectricity","Coal phase-out","natural gas","nuclear power","emission intensity","greenhouse gas emissions"],"geography_discussed":["United Kingdom","Germany","Spain","France","Denmark","Sweden","Netherlands","Belgium","Poland","Italy","Greece","Ireland","Austria","Czech Republic","Estonia"],"frame_perspective":[],"analysis_type":["quantitative analysis","trend analysis"]},{"id":"isdglo-000106","url":"https://climateinsightsdirectory.org/document/isdglo-000106","title":"Kalter Wind von Rechts: Wie rechte Parteien und Akteur:innen die Klimakrise zu ihren Gunsten missbrauchen","publisher":{"name":"Institute for Strategic Dialogue","organization":"institute-for-strategic-dialogue"},"document_type":"report","language":"de","date_published":"2021","source_url":"https://www.isdglobal.org/wp-content/uploads/2021/12/ISD_Analyse_Kalter-Wind-Klimadebatte-2021.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes how right-wing actors, particularly the AfD, instrumentalized the climate debate during the 2021 German federal election. It finds that while the AfD published the lowest percentage of climate-related content, its posts achieved significantly higher engagement than those of other parties. The study identifies a shift from outright climate denial toward a 'culture war' strategy, using disinformation narratives such as 'denial and delay' and 'absolution' to frame climate action as a threat to the German lifestyle. The analysis also highlights a stark platform divide, with Twitter predominantly hosting pro-climate messages and Facebook serving as a hub for climate-skeptical content.","ai_generated":true,"unit":"isdglo-000106#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The AfD significantly outperformed other parties in terms of engagement for climate-related content, with its climate posts receiving 40% to 237% more shares than its average posts on other topics.","ai_generated":true,"unit":"isdglo-000106#insight-1","date_modified":"2026-10-23"},{"text":"Right-wing actors have shifted their strategy from denying the existence of climate change to framing climate protection as a 'culture war' and a threat to the lifestyle of voters, often labeling activists as 'climate terrorists'.","ai_generated":true,"unit":"isdglo-000106#insight-2","date_modified":"2026-10-23"},{"text":"Two primary disinformation narratives were identified: 'Denial and Delay', which downplays the danger of climate change, and 'Absolution', which argues that Germany should not act because other countries are more responsible for global CO2 emissions.","ai_generated":true,"unit":"isdglo-000106#insight-3","date_modified":"2026-10-23"},{"text":"There is a distinct divergence in the climate debate across social media platforms: Twitter is dominated by messages supporting climate protection, while Facebook is primarily used to share content that views climate measures negatively.","ai_generated":true,"unit":"isdglo-000106#insight-4","date_modified":"2026-10-23"},{"text":"Right-wing actors frequently instrumentalize sensationalist headlines from established media outlets to lend credibility to disinformation and misleading claims without addressing the actual facts of the articles.","ai_generated":true,"unit":"isdglo-000106#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change disinformation","climate policy","renewable energy","fossil fuel","Emissions trading"],"geography_discussed":["United States","United Kingdom","Poland","People's Republic of China","India"],"frame_perspective":[],"analysis_type":["social media analysis","qualitative analysis","quantitative analysis"]},{"id":"prio-001303","url":"https://climateinsightsdirectory.org/document/prio-001303","title":"Correlates of Sexual Violence in Protest Spaces","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2021","source_url":"https://cdn.cloud.prio.org/files/a6ffdccb-3f30-4fc5-80ee-04f313c0566b/Correlates of Sexual Violence in Protest Spaces Evidence from the Egyptian Revolution.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The study finds that sexual violence in Tahrir Square was more likely to occur during large, static protests and less likely during transient demonstrations. The author identifies a shift from single-perpetrator to multiple-perpetrator assaults, specifically the 'circle of hell' phenomenon, suggesting a learned behavioral pattern or strategy. While the study found no statistically significant link between the specific political aim of a protest (anti-regime or anti-military) and the occurrence of sexual violence in the main model, it highlights the historical use of sexual violence as a tool of repression by the Egyptian state.","ai_generated":true,"unit":"prio-001303#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Protest size is a significant predictor of sexual violence, with larger crowds increasing the likelihood of assaults due to anonymity and a violent crowd mentality.","ai_generated":true,"unit":"prio-001303#insight-1","date_modified":"2026-10-23"},{"text":"The type of protest tactic influences the risk of sexual violence; specifically, transient demonstrations are associated with a lower likelihood of assaults compared to static protests.","ai_generated":true,"unit":"prio-001303#insight-2","date_modified":"2026-10-23"},{"text":"There was a temporal shift in the nature of assaults, where single-perpetrator violence decreased and multiple-perpetrator violence, such as the 'circle of hell,' increased over time.","ai_generated":true,"unit":"prio-001303#insight-3","date_modified":"2026-10-23"},{"text":"Sexual violence in Tahrir Square exhibited spatial clustering, with a high concentration of assaults occurring in the South-East corner of the square near fast-food restaurants.","ai_generated":true,"unit":"prio-001303#insight-4","date_modified":"2026-10-23"},{"text":"The study found no statistically significant relationship between the specific political target of the protest (Mubarak, the Muslim Brotherhood, or SCAF) and the occurrence of sexual violence in the primary mixed-effects model.","ai_generated":true,"unit":"prio-001303#insight-5","date_modified":"2026-10-23"},{"text":"The presence of women at protests did not have a statistically significant effect on the occurrence of sexual violence, although the direction of the relationship suggested a possible mitigating effect.","ai_generated":true,"unit":"prio-001303#insight-6","date_modified":"2026-10-23"},{"text":"Historically, the Mubarak regime weaponized sexual violence and gender tropes to delegitimize political opposition and control dissenting bodies.","ai_generated":true,"unit":"prio-001303#insight-7","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Myanmar","Hong Kong","Iran","Belarus","Syria","Honduras","Yemen","Tunisia","Sudan"],"frame_perspective":[],"analysis_type":["quantitative analysis","case study","spatial analysis","time-series analysis"]},{"id":"prio-001387","url":"https://climateinsightsdirectory.org/document/prio-001387","title":"Fighting For Food? Investigating Food Insecurity as a Source of Urban Unrest","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2021","source_url":"https://cdn.cloud.prio.org/files/76ac297f-3b58-4bca-b0f8-62ea119b9ac7/Fighting For Food Investigating Food Insecurity as a Source of Urban Unrest.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research argues that while food insecurity provides the motivation for urban unrest, the actual occurrence of collective action is contingent on the presence of organizational networks and the level of state repression. Using a combination of cross-national data from urban Africa (1990–2014) and individual-level survey data from Johannesburg, the author finds that food insecurity increases the likelihood of unrest, particularly demonstrations and strikes. However, the study challenges the notion that food is a uniquely potent driver of unrest compared to other living expenses and finds no evidence that food insecurity leads specifically to more violent behavior.","ai_generated":true,"unit":"prio-001387#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The relationship between increasing food prices and urban unrest is moderated by state repression of societal organizations; countries with moderate repression and barriers to formation are more likely to experience unrest than those with highly repressed organizational environments.","ai_generated":true,"unit":"prio-001387#insight-1","date_modified":"2026-10-23"},{"text":"Individual-level data from Johannesburg indicates that higher experienced intensity of food insecurity predicts participation in urban unrest, with the strongest effects seen for demonstrations and strikes rather than violence.","ai_generated":true,"unit":"prio-001387#insight-2","date_modified":"2026-10-23"},{"text":"Organizational networks, particularly union ties, act as catalysts that increase the likelihood of unrest participation among food-insecure individuals.","ai_generated":true,"unit":"prio-001387#insight-3","date_modified":"2026-10-23"},{"text":"Experimental evidence suggests that food price hikes are not a more potent driver for the willingness to engage in unrest than other essential living expenses, such as fuel or electricity.","ai_generated":true,"unit":"prio-001387#insight-4","date_modified":"2026-10-23"},{"text":"The research rejects the common assumption that food insecurity leads to a 'hungry, angry crowd' that engages in violence out of desperation, finding instead that the most aggrieved use legal collective action methods.","ai_generated":true,"unit":"prio-001387#insight-5","date_modified":"2026-10-23"},{"text":"Societal organizations facilitate unrest by providing existing mobilization structures and by politicizing individual-level food grievances into group phenomena.","ai_generated":true,"unit":"prio-001387#insight-6","date_modified":"2026-10-23"}],"climate_tags":["food insecurity","food price","urbanization"],"geography_discussed":["Soweto","Alexandra","Egypt","Bangladesh","India","North Korea"],"frame_perspective":[],"analysis_type":["literature review","quantitative analysis","vignette experiment","survey research"]},{"id":"clipolin-000229","url":"https://climateinsightsdirectory.org/document/clipolin-000229","title":"Updated View on the Global Landscape of Climate Finance 2019","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2020-12-18","source_url":"https://www.climatepolicyinitiative.org/publication/updated-view-on-the-global-landscape-of-climate-finance-2019/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Climate Policy Initiative provided updated estimates for global climate finance flows for 2017 and 2018, and a preliminary estimate for 2019, to inform the UNFCCC's fourth Biennial Assessment and Overview of Climate Finance Flows.","ai_generated":true,"unit":"clipolin-000229#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"Updated analysis shows that climate finance flows averaged USD 574 billion per year in 2017/18, with USD 608 billion in 2017 and USD 540 billion in 2018. These figures are slightly lower than the estimates reported in the 2019 Landscape due to adjustments from data providers.","ai_generated":true,"unit":"clipolin-000229#insight-1","date_modified":"2026-08-17"},{"text":"Climate finance flows in 2017/18 were 24% higher than the 2015/16 average, though the volume remained insufficient to address climate change and its impacts.","ai_generated":true,"unit":"clipolin-000229#insight-2","date_modified":"2026-08-17"},{"text":"A preliminary estimate for 2019 suggests climate finance flows between USD 608 billion and USD 622 billion, which would be a 6% to 8% increase over the 2017/18 average.","ai_generated":true,"unit":"clipolin-000229#insight-3","date_modified":"2026-08-17"}],"climate_tags":["climate finance","climate mitigation","climate adaptation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["Quantitative Analysis","Trend Analysis"]},{"id":"newclim-000305","url":"https://climateinsightsdirectory.org/document/newclim-000305","title":"Analysis of Current Developments in Global Carbon Markets","publisher":{"name":"NewClimate Institute","organization":"newclimate-institute"},"document_type":"executive summary","language":"en","date_published":"2020-12-02","source_url":"https://newclimate.org/resources/publications/analysis-of-current-developments-in-global-carbon-markets","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research evaluates the vulnerability of CDM projects and the supply potential of Certified Emission Reductions (CERs) between 2013 and 2020. It finds a significant oversupply of CERs, with 4.6 billion potential units available, while only 4% originate from highly vulnerable project types. The analysis suggests that strict eligibility restrictions on CER supply are necessary to ensure that new demand supports genuine, additional emission abatement.","ai_generated":true,"unit":"newclim-000305#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The total supply potential for Certified Emission Reductions (CERs) between 2013 and 2020 is estimated at 4.6 billion units, which significantly exceeds current demand and issuance levels. Only 171 million CERs, or 4% of this potential, are derived from project types identified as having high vulnerability.","ai_generated":true,"unit":"newclim-000305#insight-1","date_modified":"2026-10-23"},{"text":"In the Base Case scenario, up to 3.8 billion new CERs could enter the market at prices under €1 per unit. The report concludes that robust restrictions on which CERs from existing CDM projects are eligible are necessary for new demand to effectively support emission abatement that would not have otherwise occurred.","ai_generated":true,"unit":"newclim-000305#insight-2","date_modified":"2026-10-23"}],"climate_tags":["carbon emission trading","clean development mechanism","climate finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis","vulnerability assessment","marginal cost analysis"]},{"id":"newclim-000194","url":"https://climateinsightsdirectory.org/document/newclim-000194","title":"CDM supply potential for emission reductions up to the end of 2020","publisher":{"name":"NewClimate Institute","organization":"newclimate-institute"},"document_type":"research paper","language":"en","date_published":"2020-11-25","source_url":"http://www.newclimate.org/resources/publications/cdm-supply-potential-for-emission-reductions-up-to-the-end-of-2020","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document analyzes the potential volume of CERs eligible for transition to NDCs based on different restriction criteria. It finds that the total supply potential for reductions in or after 2013 exceeds 4 billion CERs without restrictions, but this figure drops significantly depending on whether registration dates or crediting period start dates are used as cut-offs.","ai_generated":true,"unit":"newclim-000194#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Without any restrictions, the supply potential for CERs for emission reductions occurring in or after 2013 is more than 4 billion.","ai_generated":true,"unit":"newclim-000194#insight-1","date_modified":"2026-10-23"},{"text":"When restrictions are applied based on registration dates, the cumulative supply potential for projects registered from the start of 2013 is estimated between 320 and 341 million CERs, with 46 to 63 million CERs coming from projects registered from the start of 2016.","ai_generated":true,"unit":"newclim-000194#insight-2","date_modified":"2026-10-23"},{"text":"Restrictions based on the start of the first crediting period result in a higher volume of eligible CERs than registration-based restrictions; for activities starting their first crediting period from the beginning of 2013, the supply is approximately 1,443 to 1,483 million CERs, with 140 to 179 million CERs from those starting in or after 2016.","ai_generated":true,"unit":"newclim-000194#insight-3","date_modified":"2026-10-23"}],"climate_tags":["clean development mechanism","Nationally Determined Contributions","Kyoto Protocol"],"geography_discussed":["Japan","Germany"],"frame_perspective":[],"analysis_type":["quantitative analysis","modelling"]},{"id":"seforall-000017","url":"https://climateinsightsdirectory.org/document/seforall-000017","title":"Energizing Finance: Missing the Mark 2020","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"report","language":"en","date_published":"2020-11-19","source_url":"https://www.seforall.org/publications/energizing-finance-missing-the-mark-2020","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report identifies a significant lag between energy finance commitments and disbursements, noting that while energy disbursements in high-impact countries (HICs) grew by over 61% between 2013 and 2018—outpacing overall development finance growth of 12%—substantial funding gaps remain. It argues that approximately USD 45 billion per year is required between 2020 and 2030 to meet SDG7 targets and emphasizes that project design and coordination are key to reducing disbursement delays.","ai_generated":true,"unit":"seforall-000017#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Energy finance disbursements in high-impact countries (HICs) grew significantly faster than general development finance between 2013 and 2018, with energy project disbursements increasing by more than 61% compared to a 12% increase for overall development finance in those same countries.","ai_generated":true,"unit":"seforall-000017#insight-1","date_modified":"2026-10-23"},{"text":"There is a persistent gap where actual disbursements of energy finance continue to lag behind the initial financial commitments, although the average length of disbursement delays has decreased since 2002.","ai_generated":true,"unit":"seforall-000017#insight-2","date_modified":"2026-10-23"},{"text":"To achieve Sustainable Development Goal 7 (SDG7) energy access targets, there is an urgent need for increased disbursements totaling approximately USD 45 billion annually from 2020 to 2030.","ai_generated":true,"unit":"seforall-000017#insight-3","date_modified":"2026-10-23"},{"text":"The efficiency of disbursement is heavily influenced by project-specific factors, specifically the quality of project design, coordination among key actors, and consideration of local financial services.","ai_generated":true,"unit":"seforall-000017#insight-4","date_modified":"2026-10-23"}],"climate_tags":["energy access","clean cooking","climate finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis","qualitative analysis"]},{"id":"sei-000052","url":"https://climateinsightsdirectory.org/document/sei-000052","title":"Multiple drivers of hydrological alteration in the transboundary Srepok River Basin of the Lower Mekong Region","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2020-11-02","source_url":"https://www.sei.org/publications/multiple-drivers-of-hydrological-alteration-in-the-transboundary-srepok-river-basin-of-the-lower-mekong-region/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study examines the drivers of hydrological alteration in the Srepok River Basin, finding that land use, rainfall, and temperature each affect different hydrological parameters. It identifies the 'fall rate' as the parameter most significantly affected by all three drivers, while hydropower development specifically impacts the fall rate and reversal.","ai_generated":true,"unit":"sei-000052#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Land use, rainfall, and temperature each correlate differently with hydrological indicators, with land use showing the strongest correlations (ranging from 0.85 to -0.83), followed by rainfall (0.78 to -0.54), and temperature (0.42 to -0.47).","ai_generated":true,"unit":"sei-000052#insight-1","date_modified":"2026-10-23"},{"text":"The 'fall rate' is the hydrological parameter most significantly impacted by all analyzed drivers, and it is specifically affected by hydropower development along with 'reversal'.","ai_generated":true,"unit":"sei-000052#insight-2","date_modified":"2026-10-23"}],"climate_tags":["land-use change","climate change","water management"],"geography_discussed":["Lower Mekong Basin","Southeast Asia"],"frame_perspective":[],"analysis_type":["quantitative analysis","correlation analysis"]},{"id":"clipolin-001096","url":"https://climateinsightsdirectory.org/document/clipolin-001096","title":"Examining the Climate Finance Gap for Small-Scale Agriculture","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2020-11","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2020/11/Examining-the-Climate-Finance-Gap-in-Small-Scale-Agriculture.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that climate finance for small-scale agriculture is disproportionately low, averaging USD 10 billion annually in 2017/2018, which represents only 1.7% of total tracked global climate finance. This funding is overwhelmingly public (95%) and primarily delivered via grants (50%). The analysis highlights a significant gap between these flows and the estimated annual financial needs of small-scale farmers, which are approximately USD 240 billion. The report identifies critical barriers, including limited land tenure, high transaction costs for dispersed customers, and a lack of private sector investment. It recommends enhancing public-private collaboration through blended finance, implementing weather-indexed insurance, and improving data collection on domestic and private financial flows to better target climate-smart agricultural investments.","ai_generated":true,"unit":"clipolin-001096#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Annual tracked climate finance for small-scale agriculture in developing countries averaged USD 10 billion in 2017/2018, accounting for approximately 1.7% of total global tracked climate finance.","ai_generated":true,"unit":"clipolin-001096#insight-1","date_modified":"2026-10-23"},{"text":"Climate finance for small-scale agriculture is dominated by the public sector, which provided 95% of the tracked funds, with government donors contributing 39%, multilateral DFIs 32%, and bilateral DFIs 16%.","ai_generated":true,"unit":"clipolin-001096#insight-2","date_modified":"2026-10-23"},{"text":"Grants are the most common financial instrument, representing 50% of committed finance, followed by concessional debt at 33% and non-concessional debt at 16%.","ai_generated":true,"unit":"clipolin-001096#insight-3","date_modified":"2026-10-23"},{"text":"Small-scale agriculture climate finance is more balanced between adaptation and mitigation than general climate finance; 49% of funds targeted adaptation, 29% targeted both, and 21% targeted mitigation only.","ai_generated":true,"unit":"clipolin-001096#insight-4","date_modified":"2026-10-23"},{"text":"The largest share of funds (36%) was allocated to low-GHG and climate-resilient infrastructure, while improving agricultural production and rural livelihoods each received 14%.","ai_generated":true,"unit":"clipolin-001096#insight-5","date_modified":"2026-10-23"},{"text":"Funding is heavily skewed toward general rural communities (41%) and producers/cooperatives (31%), while value chain actors (7%) and formal financial institutions (3%) are significantly underserved.","ai_generated":true,"unit":"clipolin-001096#insight-6","date_modified":"2026-10-23"},{"text":"Significant data gaps exist regarding public domestic financial flows and private sector investments, which are often the largest sources of agricultural investment in low- and middle-income countries.","ai_generated":true,"unit":"clipolin-001096#insight-7","date_modified":"2026-10-23"},{"text":"Key barriers to finance include political and technical hurdles at the national level (such as poor land tenure and low absorptive capacity) and commercial barriers at the subnational level (such as high transaction costs and perceived risk).","ai_generated":true,"unit":"clipolin-001096#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate finance","climate change adaptation","climate change mitigation","Blended Finance","Climate-smart agriculture","land tenure","agroforestry"],"geography_discussed":["sub-Saharan Africa","East Asia and Pacific","South Asia","Latin America","People's Republic of China","India","Brazil","Indonesia"],"frame_perspective":[],"analysis_type":["quantitative analysis","methodological framework","gap analysis"]}]}