{"query_echo":{"q":"","filters":{"analysis_type":["methodology paper"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'methodology paper' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":2,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=methodology+paper","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":"cmw-000523","url":"https://climateinsightsdirectory.org/document/cmw-000523","title":"Mid-term Measure Assessment Tool Methodology Paper","publisher":{"name":"Carbon Market Watch","organization":"carbon-market-watch"},"document_type":"report","language":"en","date_published":"2022-11","source_url":"https://carbonmarketwatch.org/wp-content/uploads/2024/09/CE_Delft_210435_Mid-term_Measure_Assessment_Tool_Def.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document describes a methodology for evaluating market-based measures (MBMs) and fuel standards in the shipping sector. It establishes a 100-point scoring system based on seven criteria, with the highest weights assigned to alignment with the Paris Agreement's 1.5 °C target and the speed of pollution reduction. The tool provides specific quantitative benchmarks for emissions caps, carbon levies, and GHG intensity limits across five climate scenarios, while also assessing equity, revenue use for vulnerable countries, and enforcement mechanisms.","ai_generated":true,"unit":"cmw-000523#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The assessment tool uses seven weighted criteria to score proposals, with the most critical being alignment with the 1.5 °C target and the ability to decrease pollution within the current decade, each weighted at 30 points.","ai_generated":true,"unit":"cmw-000523#insight-1","date_modified":"2026-10-23"},{"text":"To align with the Paris Agreement 1.5 °C scenario, the tool defines specific 2030, 2040, and 2050 targets: a 50% reduction in 2030 (388 Mt CO2/year TTW), a 25% reduction in 2040 (194 Mt CO2/year TTW), and full decarbonisation by 2050.","ai_generated":true,"unit":"cmw-000523#insight-2","date_modified":"2026-10-23"},{"text":"The methodology converts emission targets into specific carbon levy values; for the 1.5 °C scenario, the required TTW fuel levy is $506/tonneCO2 in 2030, $546/tonneCO2 in 2040, and $405/tonneCO2 in 2050.","ai_generated":true,"unit":"cmw-000523#insight-3","date_modified":"2026-10-23"},{"text":"For GHG Intensity limits to meet the 1.5 °C target, the tool requires reductions compared to 2020 intensity of 42% by 2030, 71% by 2040, and 100% by 2050.","ai_generated":true,"unit":"cmw-000523#insight-4","date_modified":"2026-10-23"},{"text":"Equity and financial support are prioritized through criteria that award points if a proposal raises revenues and guarantees a significant share (at least 51% for maximum points) for climate-vulnerable countries.","ai_generated":true,"unit":"cmw-000523#insight-5","date_modified":"2026-10-23"},{"text":"The tool emphasizes immediate action in this decade, awarding maximum points if a proposal proposes to amend MARPOL Annex VI, enters into force by 2025 or earlier, and applies to at least 95% of emissions from the start.","ai_generated":true,"unit":"cmw-000523#insight-6","date_modified":"2026-10-23"}],"climate_tags":["emission trading","climate finance","1.5 degree Celsius climate target"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodology paper","assessment tool"]},{"id":"fsdafri-000058","url":"https://climateinsightsdirectory.org/document/fsdafri-000058","title":"FSD Africa: Jobs Framework Methodology Paper","publisher":{"name":"FSD Africa","organization":"fsd-africa"},"document_type":"report","language":"en","date_published":"2020-12","source_url":"https://fsdafrica.org/wp-content/uploads/2025/05/21-01-15-FSD-Africa-Jobs-Framework.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The FSD Africa Jobs Framework provides a systematic approach to measuring employment effects by linking financial sector innovations to real economy outcomes. It focuses on gross job creation across micro (firm) and meso (sector) levels, using a 'Decent Jobs Assessment' to evaluate job quality, inclusion, and geographic need. The framework emphasizes a contribution-based approach rather than strict attribution, utilizing investment multipliers and sector-based proxies to estimate impact while avoiding macro-level induced effects.","ai_generated":true,"unit":"fsdafri-000058#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The framework employs a four-step process: linking interventions to job effects, estimating total jobs created and supported, assessing job decency, and performing deep-dive verifications.","ai_generated":true,"unit":"fsdafri-000058#insight-1","date_modified":"2026-10-23"},{"text":"FSD Africa focuses on gross job creation rather than net job creation because estimating net effects is hindered by difficulties in measuring displacement, substitution, and deadweight.","ai_generated":true,"unit":"fsdafri-000058#insight-2","date_modified":"2026-10-23"},{"text":"Employment effects are measured at two primary levels: micro-level (new jobs in direct real economy beneficiary firms) and meso-level (jobs supported in the wider supply chain using multipliers).","ai_generated":true,"unit":"fsdafri-000058#insight-3","date_modified":"2026-10-23"},{"text":"Macro-level induced employment effects, resulting from increased consumer spending, are explicitly excluded from the current framework due to their short-run duration and potential for inflationary effects.","ai_generated":true,"unit":"fsdafri-000058#insight-4","date_modified":"2026-10-23"},{"text":"The 'Decent Jobs Assessment' scores projects out of 100 based on three dimensions: job quality (earnings, security, employability), inclusion (gender and vulnerable groups), and geography (national-level SDG indicators).","ai_generated":true,"unit":"fsdafri-000058#insight-5","date_modified":"2026-10-23"},{"text":"FSD Africa uses a 'contribution share' based on pro-rating capital invested or support provided, rather than claiming full attribution of all jobs created by an enterprise.","ai_generated":true,"unit":"fsdafri-000058#insight-6","date_modified":"2026-10-23"},{"text":"The framework utilizes Full-Time Equivalents (FTE) for calculations, based on a standard of 240 working days per year.","ai_generated":true,"unit":"fsdafri-000058#insight-7","date_modified":"2026-10-23"},{"text":"To validate aggregate data, the framework offers four 'deep dive' options: Value Chains for Jobs Estimation (VCJ), Economic Impact Assessments (EIA), case studies, and Lean Data Surveys.","ai_generated":true,"unit":"fsdafri-000058#insight-8","date_modified":"2026-10-23"},{"text":"Income effects are measured and reported separately from employment effects because they use different metrics (headcount for income vs. FTE for employment) and serve different conceptual goals.","ai_generated":true,"unit":"fsdafri-000058#insight-9","date_modified":"2026-10-23"}],"climate_tags":["employment"],"geography_discussed":["Nigeria","South Africa","Zambia","Kenya","Ghana","Tanzania","Mozambique"],"frame_perspective":[],"analysis_type":["methodology paper","framework design"]}]}