{"query_echo":{"q":"","filters":{"analysis_type":["indicator framework"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'indicator framework' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=indicator+framework","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":"iisd-003636","url":"https://climateinsightsdirectory.org/document/iisd-003636","title":"Tracking Progress on Sustainable Jobs in Canada","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"guide","language":"en","date_published":"2026-02","source_url":"https://www.iisd.org/system/files/2026-02/tracking-progress-sustainable-jobs-canada.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines a comprehensive approach for Canada to track the socio-economic impacts of its energy transition. It analyzes 19 specific indicators across economic exposure, institutional preparedness, and employment quality, while providing case studies from Scotland, South Africa, and Ireland to illustrate effective monitoring and evaluation (MEL) strategies. The guide emphasizes the need for transparent data collection, the inclusion of qualitative lived experiences, and the use of existing data systems to avoid delaying progress.","ai_generated":true,"unit":"iisd-003636#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Canada's energy transition success depends on demonstrating the creation of \"good, durable, and well-paying jobs for workers and communities,\" making the tracking of sustainable jobs essential for maintaining public and worker support.","ai_generated":true,"unit":"iisd-003636#insight-1","date_modified":"2026-10-23"},{"text":"The report identifies 19 indicators to measure just transition progress in Canada, noting that while some data is available (such as the Gini coefficient and general Employment Insurance eligibility), many indicators currently have \"partial or no data available.\"","ai_generated":true,"unit":"iisd-003636#insight-2","date_modified":"2026-10-23"},{"text":"Scotland employs a two-pronged monitoring approach consisting of \"whole-of-Scotland just transition\" and \"sector-specific approaches,\" using a theory of change to track outcomes like the Gini coefficient and social cohesion.","ai_generated":true,"unit":"iisd-003636#insight-3","date_modified":"2026-10-23"},{"text":"South Africa utilizes a monitoring and evaluation system that includes \"rapid evaluation exercises\" on specific sites, such as the decommissioning of the Komati Power Station, and the \"Voices of Transition\" project to collect community stories.","ai_generated":true,"unit":"iisd-003636#insight-4","date_modified":"2026-10-23"},{"text":"Ireland's just transition approach is integrated into its Climate Action Plan, with a focus on the agriculture sector, which \"accounts for nearly 40% of national emissions.\"","ai_generated":true,"unit":"iisd-003636#insight-5","date_modified":"2026-10-23"},{"text":"In Canada, the Environmental and Clean Technology (ECT) sector showed strong growth, with real GDP growing 21% from 2011 to 2021, outpacing the overall economy's 15% growth.","ai_generated":true,"unit":"iisd-003636#insight-6","date_modified":"2026-10-23"},{"text":"Sustainable jobs in Canada's ECT sector typically offer higher pay than the national average; in 2019, the average salary was CAD 75,816 compared to the national average of CAD 56,783.","ai_generated":true,"unit":"iisd-003636#insight-7","date_modified":"2026-10-23"},{"text":"The guide recommends a pragmatic \"starting where you are\" approach, urging governments to use existing data and indicators rather than \"waiting for a perfect framework.\"","ai_generated":true,"unit":"iisd-003636#insight-8","date_modified":"2026-10-23"},{"text":"Effective communication of progress is critical; the report suggests translating technical data into \"clear, accessible, and engaging formats\" and being honest about challenges to maintain public trust.","ai_generated":true,"unit":"iisd-003636#insight-9","date_modified":"2026-10-23"}],"climate_tags":["just transition","energy transition","climate finance","fossil-fuel phase-out","green economy"],"geography_discussed":["Scotland","South Africa","Ireland","Nigeria","Brazil","New Zealand","Germany","Spain","Wales","Romania"],"frame_perspective":[],"analysis_type":["policy guide","comparative analysis","indicator framework"]},{"id":"cliinstca-000340","url":"https://climateinsightsdirectory.org/document/cliinstca-000340","title":"11 WAYS TO MEASURE CLEAN GROWTH","publisher":{"name":"Canadian Climate Institute","organization":"canadian-climate-institute"},"document_type":"report","language":"en","date_published":"2020-09","source_url":"https://climatechoices.ca/wp-content/uploads/2020/09/11-WAYS-TO-MEASURE-CLEAN-GROWTH_report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Canadian Climate Institute identifies 11 indicators to track clean growth, categorized into goals (low-carbon growth and economic resilience), catalysts (technology development, adoption, trade, and infrastructure), and foundations (jobs, affordable energy, inclusive resilience, clean air, and ecosystems). The analysis reveals that while Canada has decoupled GDP from GHGs, progress is uneven across provinces, and significant data gaps hinder comprehensive policy tracking.","ai_generated":true,"unit":"cliinstca-000340#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2005 and 2018, all Canadian provinces managed to decouple economic growth from greenhouse gas emissions, with six provinces actually decreasing emissions while their economies grew.","ai_generated":true,"unit":"cliinstca-000340#insight-1","date_modified":"2026-10-23"},{"text":"Canada's economy is more carbon-intensive than other developed economies, showing lower CO2 productivity scores relative to international peers in both production-based and consumption-based metrics.","ai_generated":true,"unit":"cliinstca-000340#insight-2","date_modified":"2026-10-23"},{"text":"The costs of floods and wildfires in Canada have increased over time due to both climate and non-climate factors, though data limitations prevent a full capture of these costs; for example, estimates for the 2016 Fort McMurray fire range from $4 billion to $9 billion.","ai_generated":true,"unit":"cliinstca-000340#insight-3","date_modified":"2026-10-23"},{"text":"Economic activity from environmental and clean technology (ECT) products in Canada grew from approximately $50 billion in 2012 to over $60 billion in 2018, representing about 3% of GDP in 2018.","ai_generated":true,"unit":"cliinstca-000340#insight-4","date_modified":"2026-10-23"},{"text":"Canada has a high proportion of low-carbon energy supply at 25%, but its energy use per unit of GDP (energy intensity) is significantly higher than other G7 countries.","ai_generated":true,"unit":"cliinstca-000340#insight-5","date_modified":"2026-10-23"},{"text":"Trade in environmental and clean technology (ECT) as a share of Canada's GDP increased from 1.2% in 2012 to nearly 1.6% in 2018, with total trade volumes rising from $20 billion to $30 billion.","ai_generated":true,"unit":"cliinstca-000340#insight-6","date_modified":"2026-10-23"},{"text":"Public and private investment in electricity transmission and distribution grew significantly between 2009 and 2019, whereas investment in wind and solar power declined by 78% over the same period.","ai_generated":true,"unit":"cliinstca-000340#insight-7","date_modified":"2026-10-23"},{"text":"Aggregate employment in Canada grew by 16% between 2005 and 2018 while GHGs remained relatively stable (-0.1%), indicating a decoupling of jobs and emissions.","ai_generated":true,"unit":"cliinstca-000340#insight-8","date_modified":"2026-10-23"},{"text":"Employment in Quebec is the least tied to GHG emissions, while employment in Saskatchewan is the most tied to emissions.","ai_generated":true,"unit":"cliinstca-000340#insight-9","date_modified":"2026-10-23"},{"text":"Households in Atlantic Canada are most at risk of energy poverty, with those in the first, second, and third income quintiles spending 11% of their income on energy and public transit in 2017.","ai_generated":true,"unit":"cliinstca-000340#insight-10","date_modified":"2026-10-23"},{"text":"The national poverty rate in Canada fell from 16% in 2006 to 9% in 2018, though rates remain high for single mothers under 18 and non-elderly adults living alone.","ai_generated":true,"unit":"cliinstca-000340#insight-11","date_modified":"2026-10-23"},{"text":"Canada's managed forest land is a net carbon sink, sequestering around 140 Mt of CO2e in 2018, but this would shift to a net source of 110 Mt if natural disturbances like wildfires and insects were included.","ai_generated":true,"unit":"cliinstca-000340#insight-12","date_modified":"2026-10-23"}],"climate_tags":["green growth","greenhouse gas emissions","clean technology","sustainable energy","energy poverty","climate change vulnerability","air pollution","carbon sink","nature-based solutions","climate finance","carbon capture and storage"],"geography_discussed":["Quebec","Saskatchewan","Ontario","British Columbia","Alberta","New Brunswick","Prince Edward Island","Manitoba","Newfoundland and Labrador","Yukon","Northwest Territories","Nunavut","Sweden","France","United States"],"frame_perspective":[],"analysis_type":["indicator framework","economic assessment","policy analysis"]},{"id":"iisd-003583","url":"https://climateinsightsdirectory.org/document/iisd-003583","title":"SUSTAINABLE CONSUMPTION AND PRODUCTION INDICATORS FOR THE FUTURE SDGS","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"research paper","language":"en","date_published":"2015-03-23","source_url":"https://www.iisd.org/system/files/publications/sustainable-consumption-production-indicators-future-sdgs_0.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report provides a framework for measuring the transition to sustainable consumption and production (SCP) by identifying specific indicators for SDG 12 and related targets in other SDGs. It organizes these indicators into six domains: scale of resource use, decoupling, environmental impact, technology and lifestyles, financing and investing, and policy support. The document emphasizes the need for 'positive indicators' to show the return on investment in SCP and highlights significant data gaps, particularly in developing countries, while suggesting a set of headline indicators to serve as proxies for global progress.","ai_generated":true,"unit":"iisd-003583#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The report identifies six core domains to support the shift to sustainable consumption and production (SCP) patterns: scale of resource use, decoupling, environmental impact, technology and lifestyles, financing and investing for SCP, and policy support for SCP.","ai_generated":true,"unit":"iisd-003583#insight-1","date_modified":"2026-10-23"},{"text":"Global natural resource use is currently approximately 70 billion tonnes per year and is projected to reach 180 billion tonnes by 2050 if current trends persist.","ai_generated":true,"unit":"iisd-003583#insight-2","date_modified":"2026-10-23"},{"text":"To maintain sustainability, per capita global resource use should ideally remain within 8–10 tonnes, which is significantly lower than the 25–30 tonnes currently consumed in OECD countries.","ai_generated":true,"unit":"iisd-003583#insight-3","date_modified":"2026-10-23"},{"text":"Food waste and loss have severe environmental and economic impacts, with an estimated annual direct economic cost of USD 750 billion and a carbon footprint of 3.3 Giga tonnes of CO2 equivalent.","ai_generated":true,"unit":"iisd-003583#insight-4","date_modified":"2026-10-23"},{"text":"Fossil fuel subsidies are estimated at US$548 billion as of 2013, dwarfing renewable energy subsidies which amounted to approximately $121 billion in the same year.","ai_generated":true,"unit":"iisd-003583#insight-5","date_modified":"2026-10-23"},{"text":"Air pollution is identified as the world's largest single environmental health risk, causing an estimated 7 million premature deaths per year in 2012.","ai_generated":true,"unit":"iisd-003583#insight-6","date_modified":"2026-10-23"},{"text":"The tourism economy represents approximately 9% of global GDP and contributes to 8.7% of total employment, with 261 million employees.","ai_generated":true,"unit":"iisd-003583#insight-7","date_modified":"2026-10-23"},{"text":"There is a critical lack of data availability for measuring SCP progress, particularly in developing countries, necessitating a strengthened role for national statistical offices and Ministries of Environment.","ai_generated":true,"unit":"iisd-003583#insight-8","date_modified":"2026-10-23"},{"text":"The report suggests that a 30% improvement in material efficiency by 2030 is an ambitious but achievable goal to decouple economic growth from environmental degradation.","ai_generated":true,"unit":"iisd-003583#insight-9","date_modified":"2026-10-23"}],"climate_tags":["resource efficiency","food waste","fossil fuel subsidy","renewable energy","energy efficiency","air pollution","sustainable tourism","circular economy","biodiversity loss","carbon dioxide emissions"],"geography_discussed":["People's Republic of China","Japan","Philippines","Indonesia"],"frame_perspective":[],"analysis_type":["policy proposal","indicator framework","technical assessment"]},{"id":"seforall-000161","url":"https://climateinsightsdirectory.org/document/seforall-000161","title":"p2dataandevidenceworkingpaper-43b123b2b089f7be.pdf","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.seforall.org/system/files/gather-content/P2DataandEvidenceWorkingPaper.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document provides a comprehensive framework of indicators designed to measure gender equality within the energy sector. It categorizes these indicators into three work streams: general gender equality, social inclusion/equity policies, and energy-specific impacts. The paper maps available data from sources such as the World Bank, ILO, and OECD, while highlighting significant data gaps in gender-disaggregated energy access and the specific time-use burdens of women in fuel collection and cooking.","ai_generated":true,"unit":"seforall-000161#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The document establishes a structured approach to monitoring gender and energy through three distinct work streams: Work Stream 1 (Electrification), Work Stream 2 (Clean Cooking), and Work Stream 3 (Renewable Energy and Energy Efficiency).","ai_generated":true,"unit":"seforall-000161#insight-1","date_modified":"2026-10-23"},{"text":"There is a significant disparity in data availability based on national wealth, with higher-income countries generally having a greater number of indicators with data compared to lower-income nations.","ai_generated":true,"unit":"seforall-000161#insight-2","date_modified":"2026-10-23"},{"text":"The framework identifies critical gender-specific energy indicators, including the gap between male- and female-headed households in electrification rates and access to non-solid cooking fuels.","ai_generated":true,"unit":"seforall-000161#insight-3","date_modified":"2026-10-23"},{"text":"The paper emphasizes the need to track 'time poverty' and unpaid labor, specifically measuring the time women spend on fuelwood collection, hand processing grain/tubers, and reproductive work.","ai_generated":true,"unit":"seforall-000161#insight-4","date_modified":"2026-10-23"},{"text":"The analysis incorporates health-related gender indicators, focusing on the disproportionate impact of cooking fuels on women and children, such as burns and respiratory issues.","ai_generated":true,"unit":"seforall-000161#insight-5","date_modified":"2026-10-23"},{"text":"The document tracks women's empowerment and decision-making power within the energy sector, including their representation on executive boards of power and utility companies and their role in purchasing decisions for solar devices and cookstoves.","ai_generated":true,"unit":"seforall-000161#insight-6","date_modified":"2026-10-23"}],"climate_tags":["electrification","clean cooking","renewable energy","energy efficiency","gender equality","energy access","household air pollution"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["indicator framework","data gap analysis"]}]}