{"query_echo":{"q":"","filters":{"analysis_type":["data audit"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'data audit' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":7,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=data+audit","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":"sgr-000188","url":"https://climateinsightsdirectory.org/document/sgr-000188","title":"Military greenhouse gas emissions reporting: How reliable is it?","publisher":{"name":"Scientists for Global Responsibility","organization":"scientists-for-global-responsibility"},"document_type":"report","language":"en","date_published":"2025-11","source_url":"https://www.sgr.org.uk/sites/default/files/2025-11/SGR_Military_GHG_reporting_WEB.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that international reporting of military greenhouse gas (GHG) emissions is generally poor, with significant under-reporting in data submitted to the UNFCCC. A comparison of five top military spenders showed that defence ministry reports for direct emissions were, on average, 95% higher than UNFCCC figures. The report highlights a critical lack of Scope 3 (supply-chain) reporting, noting that less than 10% of military carbon footprints typically appear in UNFCCC data. It identifies systemic loopholes in reporting guidelines and instances of 'greenwashing,' specifically by the UK military, and recommends mandatory, explicit military emissions reporting within National Inventory Reports.","ai_generated":true,"unit":"sgr-000188#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Direct military GHG emissions reported to the UNFCCC are significantly lower than those published by national defence ministries. For the USA, UK, Germany, Australia, and Canada, the data in defence ministry reports was, on average, 95% higher than the figures submitted to the UNFCCC.","ai_generated":true,"unit":"sgr-000188#insight-1","date_modified":"2026-10-23"},{"text":"Reporting of indirect military GHG emissions is severely limited. Among five nations with world-leading reporting practices—Australia, Germany, Norway, Switzerland, and the UK—only Norway has a well-developed system for reporting Scope 3 emissions, including supply-chains.","ai_generated":true,"unit":"sgr-000188#insight-2","date_modified":"2026-10-23"},{"text":"There is a massive gap between UNFCCC data and actual military carbon footprints. Extrapolating from Norwegian data suggests that UNFCCC figures must be multiplied by a factor of 10 to 14 to approximate a national military carbon footprint, meaning less than 10% of these footprints are routinely captured in UN data.","ai_generated":true,"unit":"sgr-000188#insight-3","date_modified":"2026-10-23"},{"text":"The report identifies systemic reporting failures among major military spenders. In 2023, only 37 of 70 leading nations reported any military data to the UN. Major spenders including China, India, Saudi Arabia, and Israel currently do not report military emissions, and the USA ended its practice of reporting them in 2025.","ai_generated":true,"unit":"sgr-000188#insight-4","date_modified":"2026-10-23"},{"text":"The UK military has engaged in 'greenwashing' by misrepresenting its emissions data. It claimed the military was responsible for 50% of central government Scope 1 and 2 emissions when the actual figure was 75%, and it uses the term 'Defence Carbon Footprint' despite including only a small fraction of necessary Scope 3 emissions.","ai_generated":true,"unit":"sgr-000188#insight-5","date_modified":"2026-10-23"},{"text":"No nation currently reports 'Scope 3+' or conflict-related emissions, although the Ukrainian government has contributed to research on the Russia-Ukraine war. Estimates for that conflict suggest approximately 173 million tCO2e over the first three years, with an additional 64 million tCO2e for post-war reconstruction.","ai_generated":true,"unit":"sgr-000188#insight-6","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","Scope 2","Scope 3","carbon footprint","greenwashing","United Nations Framework Convention on Climate Change"],"geography_discussed":["United States","United Kingdom","Germany","Australia","Canada","Norway","Switzerland","People's Republic of China","India","Saudi Arabia","Israel","Russia","Ukraine","Nato"],"frame_perspective":[],"analysis_type":["comparative analysis","data audit","policy review"]},{"id":"ember-000162","url":"https://climateinsightsdirectory.org/document/ember-000162","title":"Data Transparency for Asia’s Power Sector Decarbonisation","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2023-05-04","source_url":"https://ember-energy.org/chapter/introduction/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that high-quality, open power sector data is essential for the coal-to-clean electricity transition in Asia, a region containing 80% of global coal generation. It details a research methodology used to evaluate data transparency in 39 economies across East, Southeast, South, Central, and West Asia, as well as Oceania, by assessing 74 data sources against criteria such as time and geographical granularity, publishing lag, and ease of access.","ai_generated":true,"unit":"ember-000162#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Asia, including Central Asia and Oceania, is a critical region for global decarbonisation as it accounts for 62% of global power sector emissions and 80% of global coal generation.","ai_generated":true,"unit":"ember-000162#insight-1","date_modified":"2026-10-23"},{"text":"Electricity demand in Asia has grown at a rate of 4.5% annually over the last decade, which is approximately double the global average.","ai_generated":true,"unit":"ember-000162#insight-2","date_modified":"2026-10-23"},{"text":"There is a significant disparity in data availability between Asia and other regions; while most North American and European economies provide easy access to power sector data, monthly generation data in Asia can only be collected from a few economies.","ai_generated":true,"unit":"ember-000162#insight-3","date_modified":"2026-10-23"},{"text":"The report evaluated 74 official open-access public data providers across 39 economies in East Asia, Southeast Asia, South Asia, Oceania, Central Asia, and West Asia, excluding those with annual demand under 1 TWh.","ai_generated":true,"unit":"ember-000162#insight-4","date_modified":"2026-10-23"}],"climate_tags":["Grid decarbonization","carbon neutrality","electricity generation","grid flexibility","demand-side management"],"geography_discussed":["Europe","North America"],"frame_perspective":[],"analysis_type":["policy assessment","data audit"]},{"id":"grelat-000102","url":"https://climateinsightsdirectory.org/document/grelat-000102","title":"WHO BEARS THE COST?? NORTH DENVER ENVIRONMENTAL JUSTICE REPORT AND DATA AUDIT","publisher":{"name":"GreenLatinos","organization":"greenlatinos"},"document_type":"report","language":"en","date_published":"2022-05","source_url":"https://www.greenlatinos.org/wp-content/uploads/2025/01/engN-Denver-Report_English_Online_workinghyperlinks-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report documents a cumulative environmental burden in North Denver and Commerce City, where industrial zoning and high-volume transportation infrastructure lead to significant pollution and health risks. Key findings include widespread EPA violations among local facilities, high levels of PM2.5 emissions from diesel traffic near schools, and systemic data gaps regarding freight rail and business impacts. The authors argue that while North Denver provides essential energy, goods, and waste services for the broader Denver Metro area, the local community bears the health costs, including higher rates of asthma and cancer risks.","ai_generated":true,"unit":"grelat-000102#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"North Denver is characterized by industrial zoning that prioritizes business over residents, with estimates of 2,000 to 8,000 businesses operating in the 80216 zip code alone. This has resulted in limited access to quality greenspace; for example, less than half of Commerce City residents live within a 10-minute walk of a park.","ai_generated":true,"unit":"grelat-000102#insight-1","date_modified":"2026-10-23"},{"text":"EPA data reveals significant regulatory non-compliance in the region. A January 2022 query identified 183 facilities with at least one documented violation in the past three years, and 94 facilities with current violations. Many are 'repeat offenders,' including 79 Clean Water Act (CWA) violators who were non-compliant in two or more of the last 12 quarters.","ai_generated":true,"unit":"grelat-000102#insight-2","date_modified":"2026-10-23"},{"text":"Major energy facilities in North Denver contribute substantial pollution. The Cherokee Generating Station emitted 1.9 million tons of carbon dioxide and 508.8 tons of nitrous oxides (NOx) in 2019. The Suncor oil refinery reported releasing over 2.5 million lbs of 30 toxic chemicals in 2020, including 445,000 lbs of hydrogen cyanide and 95,000 lbs of benzene.","ai_generated":true,"unit":"grelat-000102#insight-3","date_modified":"2026-10-23"},{"text":"High-volume vehicle traffic, particularly diesel-fueled trucks, creates severe air quality issues. Approximately 175,000 vehicles daily pass Swansea Elementary on I-70, and 460,000 pass through the I70-I25 'Mousetrap' intersection. This contributes to asthma-related emergency department visit rates in North Denver that were more than twice the statewide rate in 2014.","ai_generated":true,"unit":"grelat-000102#insight-4","date_modified":"2026-10-23"},{"text":"The region serves as a critical hub for goods production, with at least 34 food production and storage facilities, including brands like PepsiCo, Sysco, and Amazon Fresh. Some facilities, such as the Nestle-Purina factory, have been out of compliance with the Clean Water Act for the past three years.","ai_generated":true,"unit":"grelat-000102#insight-5","date_modified":"2026-10-23"},{"text":"Freight rail operations contribute to diesel emissions and health risks, but data is severely restricted. By federal law, freight rail information for areas smaller than the state level is proprietary, preventing communities from knowing the volume or type of freight passing through their neighborhoods.","ai_generated":true,"unit":"grelat-000102#insight-6","date_modified":"2026-10-23"},{"text":"Waste management infrastructure in North Denver serves millions of residents across the Denver Metro area. The Robert W. Hite Treatment Facility is the largest wastewater plant in the Rocky Mountain West, processing up to 220 million gallons per day, yet it has been non-compliant with the Clean Water Act for 6 of the last 12 quarters.","ai_generated":true,"unit":"grelat-000102#insight-7","date_modified":"2026-10-23"},{"text":"The report identifies a critical lack of comprehensive health impact studies tracking the cumulative effects of multiple pollution sources on North Denver residents, though it notes a 2014 Health Impact Assessment and an ongoing study resulting from a CDOT settlement.","ai_generated":true,"unit":"grelat-000102#insight-8","date_modified":"2026-10-23"}],"climate_tags":["environmental justice","air pollution","water pollution","waste management","wastewater treatment"],"geography_discussed":["Denver","Colorado"],"frame_perspective":[],"analysis_type":["data audit","environmental health assessment","policy analysis"]},{"id":"sgr-000181","url":"https://climateinsightsdirectory.org/document/sgr-000181","title":"Comparing official UK statistics for military greenhouse gas emissions","publisher":{"name":"Scientists for Global Responsibility","organization":"scientists-for-global-responsibility"},"document_type":"research paper","language":"en","date_published":"2022-01","source_url":"https://www.sgr.org.uk/sites/default/files/2022-01/SGR-tech-paper-Comparing-official-UK-stats-for-military-GHGs-final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The paper finds major discrepancies between military GHG emissions data published by the Ministry of Defence (MOD) and the Department for Business, Energy and Industrial Strategy (BEIS). It concludes that 'headline' figures understate scope 1 and 2 emissions by 36% to 71% and that lifecycle emissions and war-fighting impacts are entirely omitted from official statistics.","ai_generated":true,"unit":"sgr-000181#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Official UK military GHG emissions data from different government bodies are inconsistent and incomplete, failing to provide a full picture of scope 1 and 2 emissions.","ai_generated":true,"unit":"sgr-000181#insight-1","date_modified":"2026-10-23"},{"text":"Prominent 'headline' figures for military emissions are significantly lower than estimates derived from the government's own technical data, understating emissions by between 36% and 71%.","ai_generated":true,"unit":"sgr-000181#insight-2","date_modified":"2026-10-23"},{"text":"The Ministry of Defence (MOD) annual report's main text figure is 71% lower than the SGR estimate of 2,711 ktCO2e for scopes 1 and 2 emissions in 2019.","ai_generated":true,"unit":"sgr-000181#insight-3","date_modified":"2026-10-23"},{"text":"Data from the Department for Business, Energy and Industrial Strategy (BEIS) national statistics and the report submitted to the UNFCCC understate emissions by 36% compared to the SGR estimate.","ai_generated":true,"unit":"sgr-000181#insight-4","date_modified":"2026-10-23"},{"text":"There are specific gaps in reporting: MOD-AR excludes 'F' gas emissions, while BEIS sources lack robust figures for stationary emissions from military bases.","ai_generated":true,"unit":"sgr-000181#insight-5","date_modified":"2026-10-23"},{"text":"Official statistics omit lifecycle GHG emissions and the impacts of war-fighting, both of which could be very significant; previous SGR estimates suggest lifecycle emissions are about 3.7 times larger than scope 1 and 2 alone.","ai_generated":true,"unit":"sgr-000181#insight-6","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","Scope 2","Scope 3","climate policy"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["comparative analysis","data audit"]},{"id":"iisd-000488","url":"https://climateinsightsdirectory.org/document/iisd-000488","title":"Gender and Fossil Fuel Subsidy Reform: An audit of data on energy subsidies, energy use and gender in Indonesia","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2017-11-14","source_url":"https://www.iisd.org/publications/report/gender-and-fossil-fuel-subsidy-reform-audit-data-energy-subsidies-energy-use-0","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report examines the potential impact of reforming LPG subsidies in Indonesia, noting that women in poor and near-poor households are more vulnerable to price increases. It identifies three primary economic risks for poor women: eroded household budgets, increased time spent on fuel collection or cooking, and higher input costs for small businesses. The study also evaluates alternatives for cleaner cooking, concluding that induction stoves are the most viable option for Indonesia's transition away from fossil fuels.","ai_generated":true,"unit":"iisd-000488#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Indonesian government is considering reforming LPG consumer subsidies because the fiscal cost reached IDR 25 trillion (USD 1.9 billion) in 2016, representing approximately half of the total energy subsidy expenditure.","ai_generated":true,"unit":"iisd-000488#insight-1","date_modified":"2026-10-23"},{"text":"Women in poor and near-poor households (the bottom 35 per cent of the population by income) are more vulnerable than men to LPG price increases, facing risks such as eroded budgets, reduced time for leisure or economic activity due to fuel collection/cooking, and increased costs for small businesses.","ai_generated":true,"unit":"iisd-000488#insight-2","date_modified":"2026-10-23"},{"text":"Among the alternatives compared for Indonesia's transition to non-fossil cooking—induction stoves, dimethyl ether (DME), and city gas—induction stoves are identified as the most practical and viable option.","ai_generated":true,"unit":"iisd-000488#insight-3","date_modified":"2026-10-23"}],"climate_tags":["fossil fuel subsidy","energy poverty","clean cooking"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["data audit"]},{"id":"iisd-001448","url":"https://climateinsightsdirectory.org/document/iisd-001448","title":"Gender and Fossil Fuel Subsidy Reform","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2017-11","source_url":"https://www.iisd.org/system/files/publications/gender-fossil-fuel-subsidy-reform-indonesia.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report examines the intersection of gender and LPG subsidy reform in Indonesia, finding that current subsidies are regressive and fail to reach many poor women. It highlights that women are more vulnerable to price increases due to their primary role in cooking and household management, and that switching back to biomass fuels poses significant health risks through indoor air pollution.","ai_generated":true,"unit":"iisd-001448#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The current LPG subsidy regime is regressive, with the majority of benefits captured by wealthier households. Only 12 per cent of the benefits flow to the bottom income quintile, while 70 per cent of spending benefits the non-poor.","ai_generated":true,"unit":"iisd-001448#insight-1","date_modified":"2026-10-23"},{"text":"LPG distribution is unreliable and patchy, particularly in Maluku and Papua where consumption is negligible. Most consumers purchase subsidized LPG from small retailers at unofficial prices that can be up to 200 per cent higher than the official agent price.","ai_generated":true,"unit":"iisd-001448#insight-2","date_modified":"2026-10-23"},{"text":"Women are more vulnerable to LPG price increases than men because they are primarily responsible for cooking and household management. Potential impacts include eroded household budgets, reduced time for economic activity, and increased costs for small businesses.","ai_generated":true,"unit":"iisd-001448#insight-3","date_modified":"2026-10-23"},{"text":"Switching from modern fuels like LPG back to traditional biomass due to price increases can lead to severe health issues. Indoor air pollution results in 45,000 premature deaths in Indonesia annually, with women and children more likely to report cough symptoms and have lower lung capacity.","ai_generated":true,"unit":"iisd-001448#insight-4","date_modified":"2026-10-23"},{"text":"Indonesian women face systemic economic disadvantages compared to men, including lower employment rates, fewer working hours, and lower incomes, which average around 60 per cent of men's earnings.","ai_generated":true,"unit":"iisd-001448#insight-5","date_modified":"2026-10-23"},{"text":"Men often dominate financial decision-making in households, particularly for major purchases like stoves. Over 20 per cent of men report that women have no say in expenditures, and some men do not value modern fuels because they do not cook.","ai_generated":true,"unit":"iisd-001448#insight-6","date_modified":"2026-10-23"},{"text":"The report identifies significant data gaps that hinder the evaluation of subsidy reform, including a lack of data on the simultaneous use of multiple fuels, the impact of fuel switching on women's time usage, and the influence of prices on small businesses run by women.","ai_generated":true,"unit":"iisd-001448#insight-7","date_modified":"2026-10-23"}],"climate_tags":["fossil fuel subsidy","energy poverty","household air pollution","biomass","gender equality","energy transition","social protection","energy access"],"geography_discussed":["Java","Maluku","Papua","Yogyakarta"],"frame_perspective":[],"analysis_type":["data audit","literature review"]},{"id":"sei-000987","url":"https://climateinsightsdirectory.org/document/sei-000987","title":"Environmental Statistics at Sida: A Review of Policy Markers on Climate Change Adaptation, Climate Change Mitigation, Biodiversity and Ecosystem Services and Environment","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2011-12-21","source_url":"https://www.sei.org/publications/environmental-statistics-at-sida-a-review-of-policy-markers-on-climate-change-adaptation-climate-change-mitigation-biodiversity-and-ecosystem-services-and-environment/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"In 2011, Sida and the Stockholm Environment Institute (SEI) performed a desktop review of a sample of projects to assess how accurately Sida's financial data was classified according to OECD DAC policy markers. The analysis focused on markers for climate change adaptation, climate change mitigation, biodiversity and ecosystem services, and the environment to ensure robust reporting and internal consistency in development cooperation assistance.","ai_generated":true,"unit":"sei-000987#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Sida collaborated with the Stockholm Environment Institute in 2011 to review a sample of projects to determine if spending data accurately aligned with OECD Development Assistance Committee (DAC) policy markers for environment, biodiversity and ecosystem services, and climate change mitigation and adaptation.","ai_generated":true,"unit":"sei-000987#insight-1","date_modified":"2026-10-23"},{"text":"The review was intended to help Sida improve internal data management and reporting systems for finance used for development and environmental objectives, ensuring that classification methods are robust and internally consistent.","ai_generated":true,"unit":"sei-000987#insight-2","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate change mitigation","climate finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy review","data audit"]}]}