{"query_echo":{"q":"","filters":{"analysis_type":["Quantitative Analysis"]},"warnings":[]},"total":{"value":472,"relation":"eq"},"page":8,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=Quantitative+Analysis&page=8","next":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=Quantitative+Analysis&page=9","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":"prio-001746","url":"https://climateinsightsdirectory.org/document/prio-001746","title":"Migrant Exposure and Individual-Level Trust","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2023","source_url":"https://cdn.cloud.prio.org/files/129060f1-cea0-4456-9cdd-5c0ec31c9df4/Skramstad Tollefsen Buhaug - Migrant Exposure and Individual-Level Trust PRIO Paper 2023.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 92 empirical studies (138 distinct analyses) published between 2003 and 2022. It finds a bimodal pattern where migrant exposure either strongly increases or strongly decreases trust, with positive effects more common for social and political trust and negative effects more common for perceptions of physical and economic security. The review highlights a significant Western bias in existing literature and finds strong evidence for the contact hypothesis, where direct intergroup interaction reduces prejudice and increases trust.","ai_generated":true,"unit":"prio-001746#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The literature exhibits a bimodal pattern regarding the impact of migrant exposure on trust, with 43% of analyses concluding a strong negative effect and 38% concluding a strong positive effect.","ai_generated":true,"unit":"prio-001746#insight-1","date_modified":"2026-10-23"},{"text":"The effect of migrant exposure varies significantly by the type of trust measured: it is more often positive for social and political trust, but strongly negative for perceptions of economic and physical security.","ai_generated":true,"unit":"prio-001746#insight-2","date_modified":"2026-10-23"},{"text":"Direct intergroup contact between hosts and migrants has an overwhelmingly positive effect on trust, supporting the contact hypothesis.","ai_generated":true,"unit":"prio-001746#insight-3","date_modified":"2026-10-23"},{"text":"Higher levels of education among the host population are associated with significantly greater expressions of trust toward migrants, acting as a counteracting mechanism to prejudice.","ai_generated":true,"unit":"prio-001746#insight-4","date_modified":"2026-10-23"},{"text":"Gender influences trust levels, with men generally being less trusting of migrants than women, although women report lower trust specifically regarding physical security due to feelings of vulnerability.","ai_generated":true,"unit":"prio-001746#insight-5","date_modified":"2026-10-23"},{"text":"Individuals of lower socioeconomic status tend to be significantly less trusting of migrants, likely due to increased feelings of economic competition.","ai_generated":true,"unit":"prio-001746#insight-6","date_modified":"2026-10-23"},{"text":"Media exposure significantly shapes trust; hostile media framing leads to decreased trust, while high-quality news sources providing positive perceptions can counteract negative effects.","ai_generated":true,"unit":"prio-001746#insight-7","date_modified":"2026-10-23"},{"text":"There is a severe geographical bias in the research, with an overwhelming majority of studies focusing on Europe and a distinct lack of data from the Global South, particularly Latin America.","ai_generated":true,"unit":"prio-001746#insight-8","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Europe","Africa","Asia","North America","Australia","South Africa","Turkey"],"frame_perspective":[],"analysis_type":["systematic literature review","quantitative analysis"]},{"id":"wwf-000688","url":"https://climateinsightsdirectory.org/document/wwf-000688","title":"PLOWPRINT","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"report","language":"en","date_published":"2023","source_url":"https://www.worldwildlife.org/documents/672/6wlbsmxokc_PlowprintReport_2023_final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"WWF's 2023 Plowprint analysis reveals that 1.6 million acres of grasslands in the US and Canadian Great Plains were plowed in 2021, contributing to a total loss of 32 million acres since 2012. The report identifies crop insurance subsidies and biofuels policies as primary drivers of this conversion. To combat this, WWF recommends that the US Congress use the Farm Bill to strengthen the Sodsaver provision, expand the Grassland Conservation Reserve Program (CRP), and protect Inflation Reduction Act funding. Additionally, the report supports the North American Grasslands Conservation Act and amendments to the Renewable Fuel Standard to ensure biofuels do not incentivize the conversion of native sod.","ai_generated":true,"unit":"wwf-000688#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2021, plow-up destroyed 1.6 million acres of grasslands across the US and Canadian portions of the Great Plains, with over 400,000 of those acres located in the Northern Great Plains region.","ai_generated":true,"unit":"wwf-000688#insight-1","date_modified":"2026-10-23"},{"text":"Since 2012, when WWF began tracking the region, a total of 32 million acres of grasslands have been converted to plowed land.","ai_generated":true,"unit":"wwf-000688#insight-2","date_modified":"2026-10-23"},{"text":"The most common crops planted on converted acres in 2021 across the Great Plains were wheat (27%), corn (18%), and soy (17%). In the Northern Great Plains specifically, wheat accounted for 40%, corn 18%, and soy 10%.","ai_generated":true,"unit":"wwf-000688#insight-3","date_modified":"2026-10-23"},{"text":"Land ownership patterns in the Northern Great Plains show that 80% of Tribal lands, 97% of public lands, and about 70% of private lands remain as intact grasslands.","ai_generated":true,"unit":"wwf-000688#insight-4","date_modified":"2026-10-23"},{"text":"The conversion of grasslands is driven largely by policy-based incentives rather than a need for more food production, specifically crop insurance premium subsidies and biofuels policies; many converted acres are used for non-food crops like biofuels.","ai_generated":true,"unit":"wwf-000688#insight-5","date_modified":"2026-10-23"},{"text":"The Central Grasslands Roadmap (CGR) identifies 700 million acres of Central Grasslands across Canada, the US, Mexico, and Indigenous Lands, categorizing them into core grasslands (435 million acres), vulnerable grasslands (186 million acres), and converted/altered grasslands (134 million acres).","ai_generated":true,"unit":"wwf-000688#insight-6","date_modified":"2026-10-23"}],"climate_tags":["land-use change","carbon sequestration","biodiversity loss","biofuel","regenerative agriculture"],"geography_discussed":["Mexico","Montana","South Dakota"],"frame_perspective":[],"analysis_type":["quantitative analysis","policy recommendation"]},{"id":"iisd-000754","url":"https://climateinsightsdirectory.org/document/iisd-000754","title":"Mapping India's Energy Policy 2022 (Update)","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2022-12-19","source_url":"https://www.iisd.org/publications/report/mapping-india-energy-policy-2022-update","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report tracks government financial support in India's energy sector, noting that while renewable energy subsidies doubled in FY 2022, fossil fuel subsidies remained more than four times higher than those for clean energy.","ai_generated":true,"unit":"iisd-000754#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In FY 2022, the Indian government provided at least INR 5 lakh crore (USD 68 billion) to support the energy sector, with over INR 2.25 lakh crore (USD 30 billion) provided as subsidies.","ai_generated":true,"unit":"iisd-000754#insight-1","date_modified":"2026-10-23"},{"text":"Subsidies for renewable energy in FY 2022 saw their first increase since FY 2017, doubling in value.","ai_generated":true,"unit":"iisd-000754#insight-2","date_modified":"2026-10-23"},{"text":"Despite the increase in clean energy support, subsidies for fossil fuels in FY 2022 were more than four times the amount given to clean energy.","ai_generated":true,"unit":"iisd-000754#insight-3","date_modified":"2026-10-23"}],"climate_tags":["fossil fuel","renewable energy","electric vehicle","energy subsidy","Net-zero emissions"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis"]},{"id":"sei-000992","url":"https://climateinsightsdirectory.org/document/sei-000992","title":"Adaptation Finance Madagascar","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022-12-07","source_url":"https://www.sei.org/publications/adaptation-finance-madagascar","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The study investigates a UN Adaptation Fund project in Madagascar's Aloatra-Mangoro region, finding that project benefits disproportionately accrued to households with higher political connectivity rather than the most vulnerable, thereby exacerbating local inequality.","ai_generated":true,"unit":"sei-000992#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Analysis of 599 household surveys using a multi-level model reveals that households receiving project benefits possessed higher levels of political connectivity compared to those who did not participate.","ai_generated":true,"unit":"sei-000992#insight-1","date_modified":"2026-10-23"},{"text":"The UN Adaptation Fund project likely failed to target the most vulnerable populations, instead benefiting households already better positioned to adapt and increasing inequality within the targeted communities.","ai_generated":true,"unit":"sei-000992#insight-2","date_modified":"2026-10-23"}],"climate_tags":["adaptation finace","climate change adaptation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis","qualitative analysis","mixed-methods"]},{"id":"clibonds-000566","url":"https://climateinsightsdirectory.org/document/clibonds-000566","title":"Market integrity","publisher":{"name":"Climate Bonds Initiative","organization":"climate-bonds-initiative"},"document_type":"report","language":"en","date_published":"2022-12","source_url":"https://www.climatebonds.net/files/documents/publications/3-in-every-4-dollars-of-green-bonds-issuance-meets-standards.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that while most thematic bonds meet standards, approximately 25% of green bonds and 6% of social and sustainability bonds priced in 2022 were excluded from Climate Bonds databases due to insufficient information or non-aligned Use of Proceeds (UoP). Key issues include the allocation of funds to general working capital in China, the inclusion of roads in social and sustainability frameworks in Japan, and inadequate building standards in the USA and Germany.","ai_generated":true,"unit":"clibonds-000566#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between January and September 2022, USD 106.2bn of green bonds and USD 14.4bn of social and sustainability (S&S) bonds were excluded from Climate Bonds databases because they failed to meet inclusion criteria.","ai_generated":true,"unit":"clibonds-000566#insight-1","date_modified":"2026-10-23"},{"text":"The primary reasons for bond exclusion are insufficient disclosure from the issuer or Use of Proceeds (UoP) that lack required ambition, such as projects not meeting green/social criteria, project types not yet listed in methodology, or proceeds directed to general working capital.","ai_generated":true,"unit":"clibonds-000566#insight-2","date_modified":"2026-10-23"},{"text":"China was the largest source of excluded green bonds, primarily due to USD 11.3bn in UoP allocations to general working capital and USD 9.0bn in bonds including fossil fuels like liquid natural gas (LNG).","ai_generated":true,"unit":"clibonds-000566#insight-3","date_modified":"2026-10-23"},{"text":"In the USA and Germany, a significant portion of excluded green bonds were related to building standards that were not sufficiently ambitious; this accounted for USD 5.5bn of excluded volumes in the USA and 70% of excluded volumes in Germany (USD 3.9bn).","ai_generated":true,"unit":"clibonds-000566#insight-4","date_modified":"2026-10-23"},{"text":"Japan accounted for 56% of excluded social and sustainability bond volumes, largely because these deals listed roads as an eligible Use of Proceeds, which Climate Bonds does not consider climate friendly.","ai_generated":true,"unit":"clibonds-000566#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate bond","climate finance","fossil fuel","liquefied natural gas"],"geography_discussed":["People's Republic of China","United States","Germany","Japan","France","Saudi Arabia","Sweden","Norway","Hong Kong","Italy","South Korea","Canada","Argentina","Colombia"],"frame_perspective":[],"analysis_type":["quantitative analysis","market assessment"]},{"id":"clipolin-001314","url":"https://climateinsightsdirectory.org/document/clipolin-001314","title":"Tracking Investments in Climate Resilient Infrastructure","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2022-12","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2022/12/Tracking-Investments-in-Climate-Resilient-Infrastructure.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that investments in climate resilient infrastructure (CRI) are in their nascent stages, representing only about 1.1% of average annual infrastructure investment in 2019/20. It proposes a five-principle framework to define and track CRI, though data gaps limited its operationalization to three principles. The study highlights a significant gap between investment and vulnerability, noting no correlation between per capita CRI investment and the ND-GAIN Vulnerability Index. It recommends the adoption of common resilience principles, mandated double materiality disclosures, and the creation of a standardized CRI taxonomy to scale finance.","ai_generated":true,"unit":"clipolin-001314#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Investments in climate resilient infrastructure (CRI) are minimal compared to conventional infrastructure; for every USD 1 spent on CRI, USD 87 was spent on projects that do not integrate climate resilience principles.","ai_generated":true,"unit":"clipolin-001314#insight-1","date_modified":"2026-10-23"},{"text":"Annual CRI investments in 2019/20 reached up to USD 31.3 billion, which is approximately 1.1% of the average annual infrastructure investment for that period.","ai_generated":true,"unit":"clipolin-001314#insight-2","date_modified":"2026-10-23"},{"text":"The water and wastewater sector received the largest share of tracked CRI investments in 2019/20 at 42% (USD 13.1 billion), followed by other/cross-sectoral flows (25%), AFOLU (20%), transport (9%), and energy systems (3%).","ai_generated":true,"unit":"clipolin-001314#insight-3","date_modified":"2026-10-23"},{"text":"Grey infrastructure dominated CRI investments, accounting for over half (53%) of the total, with the highest concentration in the water and wastewater sector (40%). Green infrastructure received less than 10% of tracked investments.","ai_generated":true,"unit":"clipolin-001314#insight-4","date_modified":"2026-10-23"},{"text":"Public financial institutions provided the vast majority of CRI funding in 2019/20 (83.5%, USD 26 billion), with multilateral DFIs being the largest source at 45% (USD 14.2 billion).","ai_generated":true,"unit":"clipolin-001314#insight-5","date_modified":"2026-10-23"},{"text":"There is no correlation between the amount of per capita CRI investment in a country and its vulnerability as measured by the ND-GAIN Vulnerability Index.","ai_generated":true,"unit":"clipolin-001314#insight-6","date_modified":"2026-10-23"},{"text":"Private sector disclosure of physical climate risks remains limited; in 2022, less than 30% of GRESB Infrastructure Asset Assessment participants used physical scenarios to evaluate resilience strategies at the asset level.","ai_generated":true,"unit":"clipolin-001314#insight-7","date_modified":"2026-10-23"},{"text":"Current climate-related disclosure standards lack 'double materiality'—the assessment of how infrastructure investments impact systemic and community resilience—with the EU's CSRD being a notable exception.","ai_generated":true,"unit":"clipolin-001314#insight-8","date_modified":"2026-10-23"},{"text":"A case study in Cuddalore, Tamil Nadu, demonstrated that while a project can align with most resilience principles, it may still be outperformed by future climate scenarios (such as NGFS Current Policy Scenario) by 2050 if ambitious action is not taken.","ai_generated":true,"unit":"clipolin-001314#insight-9","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate finance","transportation","flood","drought","nature-based solutions","Paris Agreement"],"geography_discussed":["India","Tamil Nadu","Cuddalore","Europe","North America","Ghana","United Kingdom"],"frame_perspective":[],"analysis_type":["quantitative analysis","methodological proposal","case study","policy review"]},{"id":"ember-000101","url":"https://climateinsightsdirectory.org/document/ember-000101","title":"The Sunny Side of Asia","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2022-11-10","source_url":"https://ember-energy.org/latest-insights/the-sunny-side-of-asia","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines the methodology for calculating the amount of fossil fuels displaced by solar energy and the associated avoided costs. It describes the use of Ember's electricity datasets, IEA thermal efficiency and calorific value data, and UN Comtrade trade data to build linear regression models for fuel pricing. The analysis assumes solar replaces the cheapest fossil fuel generation in each country, with a specific exception for Indonesia where oil is replaced first.","ai_generated":true,"unit":"ember-000101#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"To estimate fuel savings, the report assumes solar energy replaces the cheapest form of fossil-fuel based generation (coal, gas, or oil) for each country independently, though Indonesia is treated differently by assuming solar replaces oil first.","ai_generated":true,"unit":"ember-000101#insight-1","date_modified":"2026-10-23"},{"text":"Fuel price estimates for 2022 are derived from linear regression models linking historical prices to average monthly spot prices for Brent crude oil, TTF gas, Asian LNG, and Newcastle coal futures.","ai_generated":true,"unit":"ember-000101#insight-2","date_modified":"2026-10-23"},{"text":"Because 2022-H1 trade data was unavailable for Malaysia, South Korea, Thailand, and Viet Nam at the time of writing, the report used average fuel prices for the region to account for the high prices of that period.","ai_generated":true,"unit":"ember-000101#insight-3","date_modified":"2026-10-23"},{"text":"The methodology utilizes thermal efficiency data from IEA World Energy Balances and Net Calorific Values (NCV) from IEA World Energy Statistics, specifically using bituminous coal and diesel oil (44.6 MJ/kg) as the assumed fuels.","ai_generated":true,"unit":"ember-000101#insight-4","date_modified":"2026-10-23"}],"climate_tags":["solar energy","electricity generation","carbon dioxide emissions","climate finance"],"geography_discussed":["Indonesia","Japan","South Korea","Malaysia","Thailand","Vietnam"],"frame_perspective":[],"analysis_type":["methodology","quantitative analysis"]},{"id":"sei-001909","url":"https://climateinsightsdirectory.org/document/sei-001909","title":"Assessing finance for nature-based solutions to climate change","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022-11","source_url":"https://www.sei.org/wp-content/uploads/2022/11/sei-wp-assessing-finance-nature-based-solutions-2022.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The paper estimates that US$ 14.66 billion in international development finance commitments targeted 'NbS-like' activities (combining climate and biodiversity objectives) between 2016 and 2020. It identifies a declining trend in both the total amount and the share of climate finance allocated to these activities since 2017. The analysis highlights significant funding gaps for Small Island Developing States (SIDS) and Least Developed Countries (LDCs), and suggests that project documentation often fails to provide detailed evidence that these funds deliver tangible biodiversity benefits.","ai_generated":true,"unit":"sei-001909#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2016 and 2020, total funding commitments for 'NbS-like' activities—defined as projects principally targeting climate change and also targeting biodiversity—amounted to approximately US$ 14.66 billion for developing countries globally, averaging US$ 2.93 billion annually.","ai_generated":true,"unit":"sei-001909#insight-1","date_modified":"2026-10-23"},{"text":"There has been a steady decline in commitments for NbS-like activities since a peak of roughly US$ 4.83 billion in 2017, falling to approximately US$ 1.03 billion by 2020. This decline is reflected both in absolute terms and as a share of total climate finance, which dropped from nearly 32% in 2017 to 18.72% in 2020.","ai_generated":true,"unit":"sei-001909#insight-2","date_modified":"2026-10-23"},{"text":"Funding for NbS-like activities is unevenly distributed among vulnerable nations. SIDS received just over US$ 673 million (under 5% of the global total), while LDCs received just over US$ 2.44 billion (17% of the global total). Some countries, such as the Marshall Islands and Tuvalu, received less than US$ 100,000 over the five-year period despite managing vast marine territories.","ai_generated":true,"unit":"sei-001909#insight-3","date_modified":"2026-10-23"},{"text":"France, Norway, and the US were the largest bilateral funders of NbS for climate change, while the EU was a major multilateral funder. Regionally, Africa received the most commitments at around US$ 4.19 billion, followed by Asia and the Middle East (US$ 2.87 billion) and South and Central America and the Caribbean (US$ 2.76 billion).","ai_generated":true,"unit":"sei-001909#insight-4","date_modified":"2026-10-23"},{"text":"A qualitative review of project documents in SIDS and LDCs indicates that biodiversity benefits are rarely defined in detail, and it is difficult to verify if climate finance tagged for biodiversity actually delivers tangible ecological benefits. Biodiversity is often listed as an objective but not meaningfully integrated into project design.","ai_generated":true,"unit":"sei-001909#insight-5","date_modified":"2026-10-23"},{"text":"The estimated finance for NbS-like climate activities is dwarfed by government expenditures that harm biodiversity. Annual governmental subsidies for agriculture, forestry, and fisheries (estimated at US$ 274–542 billion in 2019) are 100 to 200 times greater than the estimated US$ 2.5 billion in NbS-like climate finance for the same year.","ai_generated":true,"unit":"sei-001909#insight-6","date_modified":"2026-10-23"}],"climate_tags":["nature-based solutions","climate finance","biodiversity","climate change adaptation","climate change mitigation","ecological restoration","reforestation"],"geography_discussed":["Africa","Asia","Latin America","Caribbean","Marshall Islands","Tuvalu","Haiti","Ethiopia"],"frame_perspective":[],"analysis_type":["quantitative analysis","qualitative review"]},{"id":"ember-000381","url":"https://climateinsightsdirectory.org/document/ember-000381","title":"Global Electricity Mid-Year Insights","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2022-10-05","source_url":"https://ember-energy.org/app/uploads/2022/10/Report-Ember-Global-Electricity-Mid-Year-Insights-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"In the first half of 2022, global electricity demand rose by 3%, and this growth was entirely met by renewables, which prevented a 4% increase in fossil fuel generation. While wind and solar met 77% of this demand growth, hydro met the remainder. However, the report notes that subsequent rises in coal and gas generation in July and August, driven by droughts in China and global heatwaves, mean that total power sector CO2 emissions for 2022 may still reach a record high.","ai_generated":true,"unit":"ember-000381#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Renewable energy generation growth (wind, solar, and hydro) exceeded the growth in global electricity demand, with total renewables providing 28% of global electricity in H1-2022.","ai_generated":true,"unit":"ember-000381#insight-1","date_modified":"2026-10-23"},{"text":"Wind and solar power specifically met 77% of the global electricity demand growth in the first half of 2022, contributing to a total of 13% of global electricity (8% wind and 5% solar).","ai_generated":true,"unit":"ember-000381#insight-2","date_modified":"2026-10-23"},{"text":"The growth of wind and solar in H1-2022 prevented a 4% increase in fossil fuel generation, avoiding $40 billion USD in fuel costs and 230 million tonnes of CO2 emissions.","ai_generated":true,"unit":"ember-000381#insight-3","date_modified":"2026-10-23"},{"text":"Despite the stability of fossil generation in the first half of the year, a rise in coal and gas generation during July and August—caused by heatwaves and droughts in China's Sichuan province—means 2022 power sector CO2 emissions may still set a record high.","ai_generated":true,"unit":"ember-000381#insight-4","date_modified":"2026-10-23"},{"text":"In China, wind and solar met 92% of the electricity demand rise in H1-2022, while in the US they met 81% and in India 23%.","ai_generated":true,"unit":"ember-000381#insight-5","date_modified":"2026-10-23"},{"text":"The European Union experienced a significant decline in hydro (-25%) and nuclear (-12%) generation in H1-2022, which led to a temporary increase in coal generation to cover the shortfall.","ai_generated":true,"unit":"ember-000381#insight-6","date_modified":"2026-10-23"}],"climate_tags":["wind power","solar energy","hydropower","coal","natural gas","electric energy consumption","energy transition","energy security","nuclear power"],"geography_discussed":["People's Republic of China","India","European Union","United States","Sichuan","France","Germany"],"frame_perspective":[],"analysis_type":["quantitative analysis","comparative analysis","scenario analysis"]},{"id":"gclifun-006025","url":"https://climateinsightsdirectory.org/document/gclifun-006025","title":"Overall Pipeline","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2022-10-05","source_url":"https://www.greenclimate.fund/sites/default/files/document/pipeline-sep2022.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report presents a quantitative overview of the Green Climate Fund (GCF) pipeline, categorising 410 overall projects and their associated financial values. It breaks down data for funding proposals and concept notes by sector (public and private), geographic region, and thematic focus (adaptation, mitigation, and cross-cutting), while also detailing the financial instruments used and the impact potential of the funding proposal pipeline.","ai_generated":true,"unit":"gclifun-006025#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"As of September 30, 2022, the overall pipeline consists of 410 projects with a total value of $67,357M, including GCF contributions and co-financing. The private sector (PSF) accounts for a higher total value ($40,914M) compared to the public sector (DMA) ($26,443M), despite the public sector having more projects (291 versus 119).","ai_generated":true,"unit":"gclifun-006025#insight-1","date_modified":"2026-10-23"},{"text":"The overall project pipeline is distributed across several regions, with Asia-Pacific having the highest total value at $28,949M, followed by Africa at $23,587M and Latin America and the Caribbean at $11,137M. Eastern Europe represents the smallest regional share at $1,284M.","ai_generated":true,"unit":"gclifun-006025#insight-2","date_modified":"2026-10-23"},{"text":"Thematically, cross-cutting projects dominate the overall pipeline in terms of value, totaling $42,455M, which is significantly higher than mitigation ($13,980M) and adaptation ($10,923M). In terms of project numbers, cross-cutting projects are the most numerous at 211, followed by adaptation (142) and mitigation (57).","ai_generated":true,"unit":"gclifun-006025#insight-3","date_modified":"2026-10-23"},{"text":"The funding proposal pipeline has an estimated impact potential of 466,741,587 total beneficiaries, with female beneficiaries making up 13.06% of that total. The estimated carbon dioxide equivalent (tCO2eq) impact is 1,883,870,502.","ai_generated":true,"unit":"gclifun-006025#insight-4","date_modified":"2026-10-23"},{"text":"For funding proposals, the primary financial instruments used are loans ($8,678M total) and equity ($3,036M total), followed by grants ($3,685M total). For concept notes, loans are also the most significant instrument with a total value of $23,460M.","ai_generated":true,"unit":"gclifun-006025#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate finance","climate change adaptation","climate change mitigation","Private sector engagement","Small Island Developing States","developing country"],"geography_discussed":["Africa","Asia-Pacific","Latin America and the Caribbean","Eastern Europe"],"frame_perspective":[],"analysis_type":["quantitative analysis","pipeline report"]},{"id":"client-000936","url":"https://climateinsightsdirectory.org/document/client-000936","title":"Taking stock 2022 - are TACs set to achieve MSY?","publisher":{"name":"ClientEarth","organization":"clientearth"},"document_type":"report","language":"en","date_published":"2022-10","source_url":"https://www.clientearth.org/media/rine44zc/taking-stock-2022-are-tacs-set-to-achieve-msy.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report finds that while there is a positive trend in aligning TACs with scientific advice, the 2020 deadline to end overfishing was missed. For 2022, 33% of analyzed TACs still exceeded scientific advice. Progress is significantly slower for stocks subject to precautionary advice compared to those with Maximum Sustainable Yield (MSY) assessments. The report also highlights a lack of transparency in the TAC-setting process and concerns over the implementation of the landing obligation.","ai_generated":true,"unit":"client-000936#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 2020 deadline to end overfishing was missed, although the percentage of TACs set above scientific advice has decreased from 48% in 2020 to 44% in 2021 and 33% in 2022.","ai_generated":true,"unit":"client-000936#insight-1","date_modified":"2026-10-23"},{"text":"There is a significant disparity in how scientific advice is followed based on the assessment method: 83% of 2022 TACs for MSY-assessed stocks followed scientific advice, while only 42% of those with precautionary advice did so.","ai_generated":true,"unit":"client-000936#insight-2","date_modified":"2026-10-23"},{"text":"TACs for stocks primarily taken as bycatch are exceeded more frequently and by larger average amounts than those for target stocks, reflecting a lower ambition for bycatch recovery.","ai_generated":true,"unit":"client-000936#insight-3","date_modified":"2026-10-23"},{"text":"For the first time in 2022, the percentage of TAC tonnage that undershot scientific advice was larger than the percentage that overshot it (-7% undershoot versus +4% overshoot).","ai_generated":true,"unit":"client-000936#insight-4","date_modified":"2026-10-23"},{"text":"The UK has demonstrated an ecosystem-based approach by setting TACs for forage fish, such as sandeel, below single stock advice to protect predator-prey interactions.","ai_generated":true,"unit":"client-000936#insight-5","date_modified":"2026-10-23"},{"text":"The landing obligation's failure to be properly implemented, combined with catch-based TACs and unreported discards, creates a high risk of continued overfishing.","ai_generated":true,"unit":"client-000936#insight-6","date_modified":"2026-10-23"},{"text":"The TAC-setting process suffers from a systemic lack of transparency, with the Council of the EU failing to implement European Ombudsman recommendations to publish documents promptly.","ai_generated":true,"unit":"client-000936#insight-7","date_modified":"2026-10-23"},{"text":"The European Commission's reporting on progress towards MSY has been criticized as potentially misleading, often using volume-based statistics that paint an overly positive picture by ignoring smaller, depleted stocks.","ai_generated":true,"unit":"client-000936#insight-8","date_modified":"2026-10-23"},{"text":"Eleven stocks remain in a dire state, being below the limit reference point for biomass (Blim) as of 2023, including various cod and whiting stocks in the Irish Sea, Celtic Sea, and West of Scotland.","ai_generated":true,"unit":"client-000936#insight-9","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Bay of Biscay","France","Spain","Denmark","Norway","Irish Sea","Celtic Sea","West of Scotland"],"frame_perspective":[],"analysis_type":["policy assessment","quantitative analysis","legal review"]},{"id":"fordecl-000098","url":"https://climateinsightsdirectory.org/document/fordecl-000098","title":"Overarching forest goals","publisher":{"name":"Forest Declaration Assessment","organization":"forest-declaration-assessment"},"document_type":"report","language":"en","date_published":"2022-10","source_url":"https://forestdeclaration.org/wp-content/uploads/2022/10/2022Theme1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2022 Forest Declaration Assessment finds that no global indicator is currently on track to meet the 2030 goals of halting forest loss and degradation or restoring 350 million hectares of forest landscape. While global deforestation rates declined by 6.3% in 2021 compared to the 2018-2020 baseline, this falls short of the 10% annual reduction required. Tropical Asia is the only region on track to halt deforestation by 2030, while Tropical Latin America and Africa remain off track. The report also notes that while 130.9 million hectares of tree cover were gained between 2000 and 2020, these were offset by 231.4 million hectares of loss, resulting in a net global loss of 100.5 million hectares.","ai_generated":true,"unit":"fordecl-000098#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"No global indicator is currently on track to meet the 2030 targets for stopping forest loss and degradation or restoring 350 million hectares of forest landscape.","ai_generated":true,"unit":"fordecl-000098#insight-1","date_modified":"2026-10-23"},{"text":"To completely halt deforestation by 2030, a 10% annual reduction in forest loss is required; however, the 2021 rate decreased by only 6.3% relative to the 2018-2020 baseline.","ai_generated":true,"unit":"fordecl-000098#insight-2","date_modified":"2026-10-23"},{"text":"Tropical Asia is the only region currently on track to halt deforestation by 2030, having experienced five consecutive years of decreasing primary forest loss.","ai_generated":true,"unit":"fordecl-000098#insight-3","date_modified":"2026-10-23"},{"text":"Humid tropical primary forest loss decreased by 3.1% in 2021 compared to the 2018-2020 baseline, a rate of decline slower than that of global deforestation.","ai_generated":true,"unit":"fordecl-000098#insight-4","date_modified":"2026-10-23"},{"text":"Global greenhouse gas emissions from deforestation decreased by 5.5% in 2021 from the 2018-2020 baseline, totaling 3.9 GtCO2e, which is insufficient to meet the 2030 target.","ai_generated":true,"unit":"fordecl-000098#insight-5","date_modified":"2026-10-23"},{"text":"Forest degradation continues globally across all regions, although the rate of degradation slowed in 2020-21, roughly aligning with the annual target.","ai_generated":true,"unit":"fordecl-000098#insight-6","date_modified":"2026-10-23"},{"text":"Between 2000 and 2020, global tree cover increased by approximately 130.9 million hectares, but this was offset by 231.4 million hectares of loss, leading to a net global loss of 100.5 million hectares.","ai_generated":true,"unit":"fordecl-000098#insight-7","date_modified":"2026-10-23"},{"text":"The global cost-effective mitigation potential of restoration for the 2020-2050 period is 36.252 billion tCO2e, with Latin America and the Caribbean holding the largest share at 32.8%.","ai_generated":true,"unit":"fordecl-000098#insight-8","date_modified":"2026-10-23"},{"text":"The global cost-effective area of opportunity for restoration between 2020 and 2050 is 295.1 million hectares, with 80% of the mitigation potential concentrated in 24 countries.","ai_generated":true,"unit":"fordecl-000098#insight-9","date_modified":"2026-10-23"}],"climate_tags":["deforestation","forest degradation","forest restoration","greenhouse gas emissions","carbon sink","afforestation","reforestation","climate finance","Reducing emissions from deforestation and forest degradation","Paris Agreement","biodiversity loss"],"geography_discussed":["Tropical Asia","Tropical Latin America","Africa","Brazil","Indonesia","Democratic Republic of the Congo","Gabon","Ghana","Ivory Coast","Cameroon","Bolivia","United States","Canada","People's Republic of China","Russia"],"frame_perspective":[],"analysis_type":["progress assessment","quantitative analysis","regional comparison"]},{"id":"glowit-000016","url":"https://climateinsightsdirectory.org/document/glowit-000016","title":"Poder colectivo: La lucha por la protección de las personas defensoras del territorio y el ambiente","publisher":{"name":"Global Witness","organization":"global-witness"},"document_type":"report","language":"es","date_published":"2022-09-29","source_url":"https://globalwitness.org/es/campaigns/land-and-environmental-defenders/poder-colectivo/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report documents the killing of 124 land and environmental defenders in 2025, with Latin America remaining the most dangerous region. It highlights the role of organized crime, extractive industries, and state repression in these attacks, while advocating for 'collective protection' and the legal recognition of indigenous guards.","ai_generated":true,"unit":"glowit-000016#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2025, Global Witness verified the murders of at least 124 land and environmental defenders, contributing to a cumulative total of 2,375 deaths and disappearances documented since 2012.","ai_generated":true,"unit":"glowit-000016#insight-1","date_modified":"2026-10-23"},{"text":"Latin America continues to be the most lethal region for defenders, accounting for 85% of the global total of documented cases in 2025.","ai_generated":true,"unit":"glowit-000016#insight-2","date_modified":"2026-10-23"},{"text":"Colombia remains one of the most dangerous countries, with 39 confirmed murders in 2025, predominantly linked to land conflicts and organized crime, particularly in the Cauca department.","ai_generated":true,"unit":"glowit-000016#insight-3","date_modified":"2026-10-23"},{"text":"Land disputes were the primary driver of violence in 2025, causing more than half of the documented murders.","ai_generated":true,"unit":"glowit-000016#insight-4","date_modified":"2026-10-23"},{"text":"Extractive industries continue to drive violence, with mining identified as the most dangerous sector, linked to 11 murders in 2025 across the Philippines, Peru, India, and the DRC.","ai_generated":true,"unit":"glowit-000016#insight-5","date_modified":"2026-10-23"},{"text":"Organized crime and hired assassins are implicated in over one-third of the murders in 2025, often corrupting state institutions and creating climates of impunity.","ai_generated":true,"unit":"glowit-000016#insight-6","date_modified":"2026-10-23"},{"text":"Indigenous and peasant populations are disproportionately targeted, comprising 75% of the murders and disappearances documented in 2025.","ai_generated":true,"unit":"glowit-000016#insight-7","date_modified":"2026-10-23"},{"text":"In Indonesia, the Dayak people face 'green colonialism' and criminalization, exemplified by the case of Tarsisius Fendy Sesupi, who was accused of extortion for applying traditional customary sanctions against the company PT Mayawana Persada.","ai_generated":true,"unit":"glowit-000016#insight-8","date_modified":"2026-10-23"},{"text":"The report advocates for 'collective protection,' which moves away from individual security measures toward strengthening community governance, territorial surveillance (such as indigenous guards), and the recognition of collective land tenure.","ai_generated":true,"unit":"glowit-000016#insight-9","date_modified":"2026-10-23"},{"text":"Global funding for human rights and environmental organizations decreased significantly in 2025 due to budget cuts from the US administration under Donald Trump, including a 23% drop in global development aid according to the OECD.","ai_generated":true,"unit":"glowit-000016#insight-10","date_modified":"2026-10-23"},{"text":"In the Philippines, state agents are heavily implicated in violence, with five murders in 2025 suspected to involve the Philippine Army as part of counter-insurgency campaigns.","ai_generated":true,"unit":"glowit-000016#insight-11","date_modified":"2026-10-23"}],"climate_tags":["indigenous rights","climate finance","extractive industry","mining","biodiversity","climate justice"],"geography_discussed":["Latin America","Colombia","Brazil","Honduras","Mexico","Philippines","Peru","Indonesia","Democratic Republic of the Congo","Cauca Department","Ucayali Department","United States"],"frame_perspective":[],"analysis_type":["quantitative analysis","case study","policy recommendation"]},{"id":"iisd-000926","url":"https://climateinsightsdirectory.org/document/iisd-000926","title":"Did COVID-19 Trigger a “New Normal” in Trade Policy?","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"research paper","language":"en","date_published":"2022-09-25","source_url":"https://www.iisd.org/articles/policy-analysis/covid-19-trade-policy","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"Analysis of Global Trade Alert (GTA) data indicates that while the COVID-19 pandemic increased the total volume of commercial policy interventions, it did not fundamentally alter the long-term trend of trade policy mix. The share of interventions favoring domestic firms remained stable between 0.80 and 0.85 since 2009. However, the pandemic saw a sharp spike in export bans—at least 50 times the 2015-2019 average—and an increase in corporate subsidies, while harmful import restrictions on market access actually declined. The author argues that these export curbs disrupted supply chains and should lead to tighter WTO rules on exceptions.","ai_generated":true,"unit":"iisd-000926#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The COVID-19 pandemic increased the total volume of commercial policy interventions, with 5,885 state acts recorded in 2020. Even with incomplete data for 2021, the recorded 4,016 interventions are 25% higher than the average seen from 2015 to 2019.","ai_generated":true,"unit":"iisd-000926#insight-1","date_modified":"2026-10-23"},{"text":"The pandemic did not create a 'new normal' regarding the overall mix of trade policy; the proportion of interventions that favor national firms over foreign competition has remained remarkably stable between 0.80 and 0.85 since 2009.","ai_generated":true,"unit":"iisd-000926#insight-2","date_modified":"2026-10-23"},{"text":"There was a significant increase in the use of export bans and corporate subsidies during the pandemic. Export bans in 2020 were at least 50 times higher than the average for the period 2015-2019, primarily targeting medical equipment, consumables, and later, vaccines.","ai_generated":true,"unit":"iisd-000926#insight-3","date_modified":"2026-10-23"},{"text":"Contrary to the rise in export curbs, the share of harmful import restrictions affecting market access (such as tariffs and quotas) has generally declined since the global financial crisis, a trend that was accentuated by 771 import reforms for medical goods in 2020.","ai_generated":true,"unit":"iisd-000926#insight-4","date_modified":"2026-10-23"}],"climate_tags":["trade policy"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["quantitative analysis","policy assessment"]},{"id":"wri-001413","url":"https://climateinsightsdirectory.org/document/wri-001413","title":"The State of Electric School Bus Adoption in the US","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"report","language":"en","date_published":"2022-09-10","source_url":"https://files.wri.org/d8/s3fs-public/2023-02/state-electric-school-buses-us-sept-2022.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"As of June 2022, there were 12,720 committed electric school buses across 38 US states, representing approximately 2-3% of the national fleet. California leads adoption, and while deployment is high in communities of color and areas with high PM2.5 pollution, it remains lower in the lowest-income school districts.","ai_generated":true,"unit":"wri-001413#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"As of June 2022, there were 12,720 committed electric school buses in 38 US states, which is approximately two to three percent of the total US school bus fleet. This includes 455 school districts that have committed to adding electric buses, a 76% increase from the summer of 2021.","ai_generated":true,"unit":"wri-001413#insight-1","date_modified":"2026-10-23"},{"text":"A single contract between bus dealer Midwest Transit Equipment and manufacturer SEA Electric, announced in December 2021, accounts for a massive portion of the growth, promising to repower 10,000 school buses to electric over five years.","ai_generated":true,"unit":"wri-001413#insight-2","date_modified":"2026-10-23"}],"climate_tags":["air quality","greenhouse gas emissions","electromobility","environmental justice","climate finance"],"geography_discussed":["California","Virginia","Hawaii"],"frame_perspective":[],"analysis_type":["quantitative analysis","trend analysis","equity assessment"]},{"id":"ember-000196","url":"https://climateinsightsdirectory.org/document/ember-000196","title":"EU’s record solar summer helps avoid €29bn in gas imports","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2022-09-08","source_url":"https://ember-energy.org/app/uploads/2024/11/Analysis-EUs-record-solar-summer-helps-avoid-E29bn-in-gas-imports.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Between May and August 2022, the EU generated a record 12.2% of its electricity from solar power, totaling 99.4 TWh. This generation helped the EU avoid the purchase of an additional 20 bcm of fossil gas, resulting in potential cost savings of €29 billion based on average daily gas prices for that period. Solar share records were broken in 18 of 27 EU countries, with the Netherlands achieving the highest share at 23%. The report argues that while solar deployment is accelerating, permitting bottlenecks must be addressed to meet 1.5C and REPowerEU targets, which include a proposed 45% renewable energy target for 2030.","ai_generated":true,"unit":"ember-000196#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"From May to August 2022, the EU generated a record 12.2% of its electricity from solar power, totaling 99.4 TWh, which is a 28% increase from the 77.7 TWh generated in the same period the previous year.","ai_generated":true,"unit":"ember-000196#insight-1","date_modified":"2026-10-23"},{"text":"The record solar generation allowed the EU to avoid purchasing an additional 20 bcm of fossil gas, equating to avoided costs of €29 billion. The year-on-year growth of 22 TWh in solar power alone saved over €6 billion and 4 bcm of gas.","ai_generated":true,"unit":"ember-000196#insight-2","date_modified":"2026-10-23"},{"text":"Solar share records were broken in 18 of 27 EU countries. The Netherlands had the highest solar share in the power mix at 23%, followed by Germany at 19% and Spain at 17%. Poland saw the largest increase in solar generation since 2018, increasing its output 26 times.","ai_generated":true,"unit":"ember-000196#insight-3","date_modified":"2026-10-23"},{"text":"Despite accelerating growth, current projections for solar capacity additions in 2026 meet only 46% of the value required under 1.5C pathways, primarily due to permitting bottlenecks and project development times exceeding legally binding limits.","ai_generated":true,"unit":"ember-000196#insight-4","date_modified":"2026-10-23"}],"climate_tags":["solar energy","natural gas","electricity generation","energy security"],"geography_discussed":["Netherlands","Germany","Spain","Poland","Finland","Hungary","Russia","Ukraine","France"],"frame_perspective":[],"analysis_type":["quantitative analysis","policy assessment"]},{"id":"ciel-001068","url":"https://climateinsightsdirectory.org/document/ciel-001068","title":"A case for decreasing plastic production to reduce the European Union’s dependence on fossil fuels and Russia","publisher":{"name":"Center for International Environmental Law","organization":"center-for-international-environmental-law"},"document_type":"report","language":"en","date_published":"2022-09","source_url":"https://www.ciel.org/wp-content/uploads/2022/09/September-2022-CIEL-BFFP-Winter-is-coming-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report highlights the high energy and feedstock intensity of the EU's plastic production industry, noting its significant reliance on Russian fossil fuels. It argues that reducing plastic production, particularly packaging, is a critical but overlooked lever for enhancing EU energy security and meeting climate goals.","ai_generated":true,"unit":"ciel-001068#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Plastic production is the most energy- and feedstock-intensive subsector of the EU petrochemicals industry, accounting for 21.98% of industrial gas and 37.58% of oil consumption in the EU.","ai_generated":true,"unit":"ciel-001068#insight-1","date_modified":"2026-10-23"},{"text":"In 2020, plastic production was responsible for approximately 9% of the EU's total final fossil gas consumption and 8% of its total final oil consumption.","ai_generated":true,"unit":"ciel-001068#insight-2","date_modified":"2026-10-23"}],"climate_tags":["plastic production","fossil fuel","energy security","petrochemical product","single-use plastic","circular economy","energy transition","methane emissions","hydraulic fracturing"],"geography_discussed":["Russia","Germany","Belgium","Spain","France","Italy","Netherlands","Poland","United States","Senegal","Ukraine","Norway","Azerbaijan","Egypt","Israel","Algeria","Nigeria","Angola","Hungary","Sweden","Denmark","Czech Republic","Slovakia","Ireland"],"frame_perspective":[],"analysis_type":["quantitative analysis","policy assessment"]},{"id":"iisd-002342","url":"https://climateinsightsdirectory.org/document/iisd-002342","title":"A Gendered Analysis of Employment and Skills in the Large-Scale Mining Sector: Mongolia","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2022-08","source_url":"https://www.iisd.org/system/files/2023-04/women-mine-of-the-future-mongolia.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the status of women in Mongolia's large-scale mining sector, analyzing legal frameworks, employment statistics, and skill development. It finds that while legal protections for gender equality exist, deep-seated stereotypes and inflexible working conditions persist. Women are underrepresented in technical roles and decision-making positions, and are more susceptible to layoffs during economic downturns. The report recommends improving gender-disaggregated data collection, implementing flexible work arrangements, and promoting STEM education for women to bridge the gender gap in the evolving mining industry.","ai_generated":true,"unit":"iisd-002342#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Mongolia has established a legal framework for gender equality, including the Law on Promotion of Gender Equality (2011) and the 'Vision 2050' long-term development policy. However, the implementation of these policies in the mining sector is described as insufficient, with no significant change in gender equality observed.","ai_generated":true,"unit":"iisd-002342#insight-1","date_modified":"2026-10-23"},{"text":"Women's representation in the mining sector has declined over the last decade. In 2010, women made up 22.6% of the workforce, but by 2020, this figure dropped to 15.6%.","ai_generated":true,"unit":"iisd-002342#insight-2","date_modified":"2026-10-23"},{"text":"Women in the mining sector are more vulnerable to economic volatility than men. During the 2014 downturn, women's employment decreased by 36% compared to 13.6% for men; similarly, during the 2020 pandemic, women's employment fell by 34% while men's fell by 7.4%.","ai_generated":true,"unit":"iisd-002342#insight-3","date_modified":"2026-10-23"},{"text":"Gender segregation is prominent in mining occupations. Men dominate technical roles, such as Plant and Machine Operators and Assemblers (95.2% male), while women are more concentrated in service, sales (44.8% female), and administrative roles.","ai_generated":true,"unit":"iisd-002342#insight-4","date_modified":"2026-10-23"},{"text":"Women in the mining workforce generally have higher educational attainment than men, with 42% of women holding a higher education degree. However, they remain underrepresented in STEM fields and decision-making roles.","ai_generated":true,"unit":"iisd-002342#insight-5","date_modified":"2026-10-23"},{"text":"The introduction of a national 14/14-day roster schedule (14 days on, 14 days off) is identified as a key provision to increase women's participation by improving work-life balance.","ai_generated":true,"unit":"iisd-002342#insight-6","date_modified":"2026-10-23"},{"text":"A significant gender pay gap exists by responsibility level. According to NSO data, women earn 17-51% less than men in all professional categories except for Technicians and Associate Professionals.","ai_generated":true,"unit":"iisd-002342#insight-7","date_modified":"2026-10-23"},{"text":"Women are severely underrepresented in senior leadership. In the three surveyed state agencies, only 24% of managers are women, and the top leadership positions (Minister, Deputy Minister, Secretary of State) are all held by men.","ai_generated":true,"unit":"iisd-002342#insight-8","date_modified":"2026-10-23"},{"text":"Mining companies generally lack gender-specific training and retraining programs, particularly for women returning from maternity leave, which can lead to women falling behind their peers in career progression.","ai_generated":true,"unit":"iisd-002342#insight-9","date_modified":"2026-10-23"},{"text":"Traditional gender stereotypes continue to influence career choices and hiring. Employers often perceive engineers as men and express concerns about women's family responsibilities during recruitment.","ai_generated":true,"unit":"iisd-002342#insight-10","date_modified":"2026-10-23"}],"climate_tags":["gender equality"],"geography_discussed":["Ulaanbaatar","Orkhon Province","Ömnögovi Province"],"frame_perspective":[],"analysis_type":["gender analysis","quantitative analysis","policy review"]},{"id":"zca-000040","url":"https://climateinsightsdirectory.org/document/zca-000040","title":"European jet fuel: how big a role does Russia play?","publisher":{"name":"Zero Carbon Analytics","organization":"zero-carbon-analytics"},"document_type":"briefing","language":"en","date_published":"2022-07-27","source_url":"https://zerocarbon-analytics.org/energy/european-jet-fuel-how-big-a-role-does-russia-play/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"In 2021, Russian jet fuel accounted for 5% of the EU's jet fuel imports (13,000 b/d) and 1.3% of its total consumption. This represents a significant decline from the 2015-2019 average of 30,200 b/d. IAG was the largest airline consumer of Russian jet fuel in 2021, while London's Heathrow airport was the largest airport consumer. Together, Heathrow and Gatwick airports accounted for an average of 92% of Russian jet fuel consumption between 2011 and 2021.","ai_generated":true,"unit":"zca-000040#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2021, the EU imported 13,000 barrels per day (b/d) of jet fuel from Russia, which represented 5% of total jet fuel imports and 1.3% of total jet fuel consumption in the EU.","ai_generated":true,"unit":"zca-000040#insight-1","date_modified":"2026-10-23"},{"text":"Russian jet fuel imports saw a substantial decrease following the pandemic; the 2021 volume of 13,000 b/d is lower than the 2015-2019 average of 30,200 b/d.","ai_generated":true,"unit":"zca-000040#insight-2","date_modified":"2026-10-23"},{"text":"Among major European airlines, IAG (owner of British Airways) was the largest consumer of Russian jet fuel in 2021, averaging 586 b/d, followed by SAS at 308 b/d.","ai_generated":true,"unit":"zca-000040#insight-3","date_modified":"2026-10-23"},{"text":"London's Heathrow airport was the largest consumer of Russian jet fuel among leading European airports in 2021 at 874 b/d. Between 2011 and 2021, Heathrow and Gatwick airports together accounted for an average of 92% of Russian jet fuel consumption.","ai_generated":true,"unit":"zca-000040#insight-4","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Russia","United Arab Emirates","Kuwait","India","South Korea","Saudi Arabia","Turkey","London","Paris","Amsterdam"],"frame_perspective":[],"analysis_type":["quantitative analysis"]},{"id":"pari-000210","url":"https://climateinsightsdirectory.org/document/pari-000210","title":"Remodelling Cabinet Departments in South Africa","publisher":{"name":"Public Affairs Research Institute","organization":"public-affairs-research-institute"},"document_type":"research paper","language":"en","date_published":"2022-07","source_url":"https://pari.org.za/wp-content/uploads/2022/07/20220701_RemodellingCabinetDeptsInSA_VinothanNaidoo_WorkingPaper.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","analysis_type"],"summary":{"text":"The study tracks the internal machinery of seven South African Cabinet departments from 2009 to 2021. It finds an aggregate expansion in internal organisational units that peaked around 2018/19, coinciding with the presidency of Jacob Zuma, before declining under Cyril Ramaphosa. While most departments are dominated by externally-oriented specialist portfolio units, the research indicates that internal structural changes are generally not triggered by ministerial reshuffles. Furthermore, the creation of public entities (agencification) did not lead to a corresponding reduction in the internal functions of Cabinet departments.","ai_generated":true,"unit":"pari-000210#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There was an aggregate expansion in the total number of internal organisational units across the sampled departments between 2011/12 and 2018/19, with a subsequent decline starting in 2019/20 that aligns with President Cyril Ramaphosa's macro-restructuring of Cabinet.","ai_generated":true,"unit":"pari-000210#insight-1","date_modified":"2026-10-23"},{"text":"Growth in internal units was most significant at the operational level (level three/Chief Directorates) and the strategic level (level two/branches), while there was an overall decline in units at the leadership level (level one/Director-General).","ai_generated":true,"unit":"pari-000210#insight-2","date_modified":"2026-10-23"},{"text":"The research found that ministerial changes generally did not trigger large-scale internal structural overhauls, as evidenced by departments that underwent major restructuring without a change in minister and others that changed ministers frequently without structural shifts.","ai_generated":true,"unit":"pari-000210#insight-3","date_modified":"2026-10-23"},{"text":"The proliferation of non-departmental 'public entities' in South Africa did not result in the relocation or reduction of internal functions within Cabinet departments, suggesting that agencification operates independently of internal departmental composition.","ai_generated":true,"unit":"pari-000210#insight-4","date_modified":"2026-10-23"},{"text":"Most sampled departments show a high degree of similarity in the type of activities performed, with approximately 70% of units dedicated to externally-oriented specialist portfolio services rather than internal general management.","ai_generated":true,"unit":"pari-000210#insight-5","date_modified":"2026-10-23"},{"text":"Policy-oriented departments generally maintain more compact and balanced internal structural arrangements compared to implementation-oriented departments, though this varies by the breadth of the portfolio.","ai_generated":true,"unit":"pari-000210#insight-6","date_modified":"2026-10-23"},{"text":"The Department of Home Affairs exhibited the most asymmetrical and expansive strategic and operational footprint, characterized by a higher proportion of general management units due to administrative complexity and risk management.","ai_generated":true,"unit":"pari-000210#insight-7","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":[],"frame_perspective":[],"analysis_type":["longitudinal study","comparative analysis","quantitative analysis"]}]}