{"query_echo":{"q":"","filters":{"analysis_type":["Cost-benefit analysis"]},"warnings":[]},"total":{"value":306,"relation":"eq"},"page":15,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=Cost-benefit+analysis&page=15","next":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=Cost-benefit+analysis&page=16","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-002024","url":"https://climateinsightsdirectory.org/document/iisd-002024","title":"Sustainable Asset Valuation (SAVi) of Senegal’s Saloum Delta","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/2020-08/savi-saloum-delta-senegal-brochure.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report applies the SAVi simulation service to the Saloum Delta in Senegal, quantifying the monetary value of its wetlands and mangroves. It assesses the economic trade-offs between business-as-usual trends, infrastructure development (roads and oil extraction), and conservation efforts (organic agriculture, mangrove reforestation, and solar cookstoves). The analysis provides a baseline for policy-makers and investors to design conservation finance solutions and sustainable development strategies.","ai_generated":true,"unit":"iisd-002024#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The economic value of the Saloum Delta's ecosystem services is estimated at CFA 964 billion (EUR 1.5 billion) over 10 years, increasing to CFA 3,589 billion (EUR 5.4 billion) over 40 years.","ai_generated":true,"unit":"iisd-002024#insight-1","date_modified":"2026-10-23"},{"text":"Labour income directly generated from the Delta's ecosystem is valued at CFA 1,973 billion (EUR 3 billion) over 10 years, rising to CFA 9,729 billion (EUR 14.8 billion) over 40 years.","ai_generated":true,"unit":"iisd-002024#insight-2","date_modified":"2026-10-23"},{"text":"Simulations indicate that under prevailing trends, the quality of the wetland will decrease over time if no action is taken, though organic agriculture and mangrove reforestation can reduce this overall degradation.","ai_generated":true,"unit":"iisd-002024#insight-3","date_modified":"2026-10-23"},{"text":"Oil extraction is projected to generate significant revenues but causes a high negative impact on ecosystem services, with a simulated loss of value for these services totaling CFA 297,112 million.","ai_generated":true,"unit":"iisd-002024#insight-4","date_modified":"2026-10-23"},{"text":"Mangrove reforestation of 1,000 hectares per year over 10 years is estimated to increase the performance of ecosystem services by more than CFA 257,000 million (EUR 391 million).","ai_generated":true,"unit":"iisd-002024#insight-5","date_modified":"2026-10-23"},{"text":"The adoption of solar-powered cookstoves by 30% of households by 2030 is identified as highly effective for reducing greenhouse gas emissions, with an avoided social cost of carbon exceeding CFA 33,000 million (EUR 50 million).","ai_generated":true,"unit":"iisd-002024#insight-6","date_modified":"2026-10-23"}],"climate_tags":["ecosystem service","climate change","coastal erosion","carbon sequestration","greenhouse gas emissions","organic agriculture","carbon offset"],"geography_discussed":["Fatick"],"frame_perspective":[],"analysis_type":["economic valuation","cost-benefit analysis","scenario simulation"]},{"id":"iisd-002026","url":"https://climateinsightsdirectory.org/document/iisd-002026","title":"Application d’une évaluation des actifs durables (SAVi) au projet « Bus Rapid Transit » au Sénégal","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"case study","language":"fr","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/savi-senegal-bus-rapid-transit-brochure-fr.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document applies the SAVi methodology to the Dakar BRT project, demonstrating that while conventional financial analysis suggests the project is not viable, the integration of external effects—such as time saved and avoided pollution—reveals substantial net benefits for Senegalese society. The analysis covers four scenarios, including variations in passenger demand, and predicts a net job loss of 14% in the transport sector, offset by a 15.6% increase in discretionary spending across the wider economy.","ai_generated":true,"unit":"iisd-002026#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Conventional financial analysis indicates that the BRT project is not financially viable regardless of passenger demand levels. However, integrating external effects significantly improves performance indicators, with the total net benefits across scenarios ranging from 1,700 billion to nearly 2,700 billion CFA francs (approximately 2.94 billion to 4.61 billion US dollars).","ai_generated":true,"unit":"iisd-002026#insight-1","date_modified":"2026-10-23"},{"text":"The project is expected to cause a net loss of 14% in employment within the transport sector, as job creation within the project does not fully compensate for losses in other modes of transport. Despite this, the wider economy is projected to see a 15.6% increase in discretionary spending due to improved mobility in other sectors.","ai_generated":true,"unit":"iisd-002026#insight-2","date_modified":"2026-10-23"},{"text":"The SAVi evaluation for the BRT project specifically analyzes six external effects: discretionary spending from labor income, value of time saved, avoided transport costs, avoided pollution costs (PM2.5, SO2, and NOx), avoided greenhouse gas (CO2) emission costs, and avoided accident costs.","ai_generated":true,"unit":"iisd-002026#insight-3","date_modified":"2026-10-23"},{"text":"The BRT project, managed by the Conseil Exécutif des Transports Urbains de Dakar (CETUD) and estimated to cost 369,490,000 euros, is projected to transport 300,000 passengers daily upon completion in 2023. Funding is provided by the World Bank, the European Bank, the government of Senegal, and the Green Climate Fund.","ai_generated":true,"unit":"iisd-002026#insight-4","date_modified":"2026-10-23"}],"climate_tags":["bus rapid transit","public transport","urban transport","greenhouse gas emissions","air pollution","climate finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["cost-benefit analysis","financial simulation","employment impact analysis"]},{"id":"iisd-002029","url":"https://climateinsightsdirectory.org/document/iisd-002029","title":"Sustainable Asset Valuation (SAVi) Assessment of the N’Diaye Wind Farm, Senegal","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/savi-senegal-ndiaye-wind-farm-brochure-en.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The SAVi assessment of the N’Diaye wind farm in Senegal demonstrates that while coal-fired power may appear more financially attractive under traditional business-as-usual scenarios, the wind farm provides superior societal value and lower costs when climate risks and externalities are integrated. The wind project is estimated to generate 158.7 MW of electricity and create significantly more employment (66 FTE/year) with substantially lower life cycle emissions (0.1 million tonnes of CO2) compared to coal (6.1 million tonnes) and HFO (2.2 million tonnes). When accounting for climate risks and externalities, the levelized cost of electricity (LCOE) for the wind farm is CFA 43,266 per MWh, making it more affordable than coal (CFA 52,998 per MWh) and HFO (CFA 155,728 per MWh).","ai_generated":true,"unit":"iisd-002029#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The N’Diaye wind farm project, which will generate 158.7 MW of electricity, creates more employment and produces fewer life cycle emissions than fossil fuel alternatives. It generates 66 full-time equivalent (FTE) jobs per year and 0.1 million tonnes of carbon dioxide emissions, whereas HFO-fired generation produces 15 FTE jobs and 2.2 million tonnes of emissions, and coal produces 11 FTE jobs and 6.1 million tonnes of emissions.","ai_generated":true,"unit":"iisd-002029#insight-1","date_modified":"2026-10-23"},{"text":"When integrating climate risks and externalities, the wind farm's levelized cost of electricity (LCOE) is lower than both coal and HFO options. The wind farm's LCOE is CFA 43,266 per MWh (USD 74 per MWh), while coal increases to CFA 52,998 per MWh (USD 91 per MWh) and HFO is the least attractive at CFA 155,728 per MWh (USD 267 per MWh).","ai_generated":true,"unit":"iisd-002029#insight-2","date_modified":"2026-10-23"},{"text":"Traditional financial assessments (Scenario 0) favor coal-fired generation due to lower capital expenditures, resulting in a higher internal rate of return (IRR) of 23.53% compared to 12.17% for the wind farm. However, when climate risks and externalities are included (Scenario 2), the net present value (NPV) of the wind farm project outperforms coal-fired generation.","ai_generated":true,"unit":"iisd-002029#insight-3","date_modified":"2026-10-23"},{"text":"The social cost of carbon is identified as a primary driver of the increased LCOE for coal-fired electricity generation, having a larger impact than other climate risks.","ai_generated":true,"unit":"iisd-002029#insight-4","date_modified":"2026-10-23"}],"climate_tags":["coal-fired power station","carbon tax","climate risk","green infrastructure","project finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["cost-benefit analysis","scenario simulation","comparative analysis"]},{"id":"iisd-002030","url":"https://climateinsightsdirectory.org/document/iisd-002030","title":"Évaluation des actifs durables (SAVi) du parc éolien de Taïba N’Diaye au Sénégal","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"fact sheet","language":"fr","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/savi-senegal-ndiaye-wind-farm-brochure-fr.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The SAVi assessment of the Taïba N’Diaye wind farm demonstrates that while traditional financial metrics may favor fossil fuels due to lower initial capital costs, the wind project provides superior societal value and lower long-term costs when climate risks and externalities are integrated. The wind farm is projected to generate 158.7 MW of electricity and create significantly more jobs with far lower lifecycle emissions than coal or HFO alternatives.","ai_generated":true,"unit":"iisd-002030#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Taïba N’Diaye wind farm is projected to generate 158.7 MW of electricity once fully operational, with construction having commenced in January 2019.","ai_generated":true,"unit":"iisd-002030#insight-1","date_modified":"2026-10-23"},{"text":"When accounting for climate risks and external effects, the wind farm's Levelized Cost of Electricity (LCOE) is 43,266 francs CFA per MWh (74 USD), making it more affordable than coal (52,998 francs CFA/MWh or 91 USD) and significantly more attractive than HFO (155,728 francs CFA/MWh or 267 USD).","ai_generated":true,"unit":"iisd-002030#insight-2","date_modified":"2026-10-23"},{"text":"The wind project outperforms fossil fuel alternatives in employment and emissions: it creates 66 full-time equivalent (FTE) jobs per year compared to 15 for HFO and 11 for coal, and produces only 0.1 million tonnes of lifecycle CO2 emissions compared to 2.2 million for HFO and 6.1 million for coal.","ai_generated":true,"unit":"iisd-002030#insight-3","date_modified":"2026-10-23"},{"text":"Traditional financial analysis (Scenario 0) shows a higher Internal Rate of Return (IRR) for coal (23.53%) than for the wind farm (12.17%) due to the wind project's capital expenditures being more than double those of coal. However, in Scenario 2, which includes climate risks and externalities, the Net Present Value (NPV) of the wind farm exceeds that of coal.","ai_generated":true,"unit":"iisd-002030#insight-4","date_modified":"2026-10-23"}],"climate_tags":["coal power","climate risk","carbon tax","green job"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["cost-benefit analysis","financial simulation","comparative technology assessment"]},{"id":"iisd-002033","url":"https://climateinsightsdirectory.org/document/iisd-002033","title":"A Sustainable Asset Valuation of Sustainable Infrastructure in Kazakhstan","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"executive summary","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/2024-04/savi-shymkent-tashkent-khujand-economic-corridor-summary.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The SAVi assessment concludes that a sustainable infrastructure scenario—combining railway expansion and sustainable buildings—would generate a cumulative discounted net benefit of KZT 2,424 billion (USD 5,259 million) between 2022 and 2050. While a traditional benefit-cost ratio (BCR) of 0.82 would suggest the project is not investment-worthy, the sustainable benefit-cost ratio (S-BCR) is 8.53 when accounting for societal and environmental externalities. The most significant economic driver is the value added from freight trade, totaling KZT 2,452 billion (USD 5,319 million), assuming a 60% shift from road to rail transport. The report recommends prioritizing electrified rail and energy-efficient buildings to reduce CO2 emissions and operational costs, noting that solar power is cheaper than fossil fuel generation for the project's energy needs.","ai_generated":true,"unit":"iisd-002033#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The sustainable infrastructure scenario, which integrates railway expansion and sustainable buildings, is projected to yield a cumulative discounted net benefit of KZT 2,424 billion (USD 5,259 million) over a 28-year period from 2022 to 2050, with a sustainable benefit-cost ratio (S-BCR) of 8.53.","ai_generated":true,"unit":"iisd-002033#insight-1","date_modified":"2026-10-23"},{"text":"Traditional financial valuation, which only considers tangible impacts like capital and O&M costs and freight revenues, results in a benefit-cost ratio (BCR) of 0.82, which would typically be considered not investment-worthy.","ai_generated":true,"unit":"iisd-002033#insight-2","date_modified":"2026-10-23"},{"text":"The primary economic benefit is the value added from freight trade, amounting to KZT 2,452 billion (USD 5,319 million), based on a 60% shift from road to rail transport and the high value of transported uranium (USD 110/kg).","ai_generated":true,"unit":"iisd-002033#insight-3","date_modified":"2026-10-23"},{"text":"Solar power is identified as a more cost-effective energy source than fossil fuels for the project, with solar costs ranging from USD 24 to USD 96 per MWh compared to USD 39 to USD 101 for gas.","ai_generated":true,"unit":"iisd-002033#insight-4","date_modified":"2026-10-23"},{"text":"The project's environmental benefits include avoided CO2 emissions from replacing road transport with rail, valued at KZT 1.5 billion (USD 3.3 million) using a carbon cost of USD 31 per ton; however, using coal for energy would instead create additional emissions costing USD 6.7 million.","ai_generated":true,"unit":"iisd-002033#insight-5","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","solar energy","greenhouse gas emissions","carbon dioxide emissions","carbon price","energy efficiency"],"geography_discussed":["Uzbekistan"],"frame_perspective":[],"analysis_type":["cost-benefit analysis","infrastructure assessment","economic simulation"]},{"id":"iisd-002034","url":"https://climateinsightsdirectory.org/document/iisd-002034","title":"Applying a Sustainable Asset Valuation (SAVi) to the Ecological Restoration of the Beira Lake in Colombo: Assessing the Economic Value of Restoration Interventions Analysis","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"case study","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/savi-sri-lanka-beira-lake-brochure-en.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document evaluates four scenarios for restoring Beira Lake: business-as-usual, wastewater treatment upgrades, dredging, and a combined approach. Using the SAVi tool, it analyzes the impact of these interventions on water clarity, property values, and recreational spending between 2020 and 2025. While the combined approach (Scenario 4) generates the highest total benefits, wastewater treatment upgrades (Scenario 2) offer the highest benefit-to-cost ratio.","ai_generated":true,"unit":"iisd-002034#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The SAVi assessment analyzed four intervention scenarios for Beira Lake: Scenario 1 (Business-as-usual), Scenario 2 (Wastewater treatment upgrades), Scenario 3 (Dredging of lake deposits), and Scenario 4 (Combined wastewater treatment and dredging). Scenario 4 involves both upgrading wastewater treatment to 100% share and a one-time dredging of 180,000 m3 of lake bottom sediments in 2021.","ai_generated":true,"unit":"iisd-002034#insight-1","date_modified":"2026-10-23"},{"text":"Scenario 4 (Combined) produces the most significant economic gains, with property values increasing by over USD 43 million and recreational spending increasing by USD 19.5 million between 2020 and 2025. However, it requires the highest investment at USD 6.3 million, resulting in a benefit-to-cost ratio of 9.92.","ai_generated":true,"unit":"iisd-002034#insight-2","date_modified":"2026-10-23"},{"text":"Scenario 2 (Wastewater treatment upgrades) is identified as the most cost-effective option, achieving the highest benefit-to-cost ratio of 39.67. This scenario results in a USD 14.3 million increase in property values by the end of 2025 and approximately USD 10 million in additional spending by locals and tourists over the 2020–2025 period.","ai_generated":true,"unit":"iisd-002034#insight-3","date_modified":"2026-10-23"},{"text":"Scenario 3 (Dredging) is less effective than Scenarios 2 and 4, yielding lower increases in property values and recreational spending over time.","ai_generated":true,"unit":"iisd-002034#insight-4","date_modified":"2026-10-23"}],"climate_tags":["ecological restoration","wastewater treatment"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["cost-benefit analysis","simulation"]},{"id":"iisd-002038","url":"https://climateinsightsdirectory.org/document/iisd-002038","title":"A Sustainable Asset Valuation of the Tirana-Durres Railway in Albania","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"executive summary","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/2024-02/savi-tirana-durres-railway-albania-summary.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The SAVi assessment of the Tirana-Durres railway project in Albania demonstrates that while the project is not economically viable based on traditional financial metrics, it provides substantial societal benefits. The project, estimated to cost EUR 58.78 million, is projected to generate cumulative discounted net benefits of EUR 270.34 million between 2023 and 2053. The most significant gains come from avoided vehicle operating costs (EUR 96.78 million) and health benefits from reduced air pollution and increased physical activity (EUR 44.93 million). The sustainable benefit-cost ratio (S-BCR) is 4.25 (or 4.79 in Table 1), compared to a conventional BCR of 0.12.","ai_generated":true,"unit":"iisd-002038#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The rehabilitation of the Tirana-Durres railway, including a connection to Rinas International Airport, is estimated to cost EUR 58.78 million for a total railway length of 34 km.","ai_generated":true,"unit":"iisd-002038#insight-1","date_modified":"2026-10-23"},{"text":"The project is projected to deliver a cumulative net benefit of EUR 415.51 million from 2023 to 2053, which amounts to EUR 270.34 million when discounted at 3.5%.","ai_generated":true,"unit":"iisd-002038#insight-2","date_modified":"2026-10-23"},{"text":"The most significant individual benefit is the reduction of vehicle operating costs, including fuel and maintenance, valued at EUR 96.78 million in discounted terms.","ai_generated":true,"unit":"iisd-002038#insight-3","date_modified":"2026-10-23"},{"text":"Other quantified benefits include health improvements from reduced air pollution and increased activity (EUR 44.93 million), time savings from reduced congestion (EUR 44.39 million), avoided traffic accident costs (EUR 41.61 million), and income from new railway employment (EUR 38.41 million).","ai_generated":true,"unit":"iisd-002038#insight-4","date_modified":"2026-10-23"},{"text":"Traditional financial analysis suggests the project is not viable with a benefit-cost ratio (BCR) of 0.12, but the sustainable BCR (S-BCR), which accounts for social and environmental externalities, is significantly higher at 4.25 (noted as 4.79 in the results table).","ai_generated":true,"unit":"iisd-002038#insight-5","date_modified":"2026-10-23"}],"climate_tags":["rail transport","carbon dioxide emissions","air pollution"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["cost-benefit analysis","sustainable asset valuation"]},{"id":"iisd-002040","url":"https://climateinsightsdirectory.org/document/iisd-002040","title":"A Sustainable Asset Valuation (SAVi) of the Uchkuduk-Kazakhstan Border Highway, Uzbekistan","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"executive summary","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/2023-11/savi-uchkuduk-kazakhstan-border-highway-uzbekistan-summary.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The SAVi assessment of the Uchkuduk-Kazakhstan Border Highway in Uzbekistan indicates that while the project has a low traditional benefit-cost ratio of 0.18, its sustainable benefit-cost ratio (S-BCR) is significantly higher at 1.38 to 1.95. The project is expected to generate cumulative discounted net benefits between USD 230 million and USD 567 million over a 30-year period (2022-2052), driven primarily by public revenues from raw materials trade and avoided traffic accident costs.","ai_generated":true,"unit":"iisd-002040#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project's total projected investment costs are UZS 6,278 billion (USD 599 million), which includes UZS 547 billion (USD 52 million) for taxes, duties, and social tax.","ai_generated":true,"unit":"iisd-002040#insight-1","date_modified":"2026-10-23"},{"text":"The assessment identifies a stark difference between traditional financial valuation and sustainable valuation. A traditional benefit-cost ratio (BCR) considering only tangible impacts is 0.18, which would typically render the project not investment-worthy. However, the sustainable BCR (S-BCR) is 1.38 in the 'low cost of accidents' scenario and 1.95 in the 'high cost of accidents' scenario.","ai_generated":true,"unit":"iisd-002040#insight-2","date_modified":"2026-10-23"},{"text":"Over a 30-year period from 2022 to 2052, the highway is projected to generate cumulative discounted net benefits of UZS 2,411 billion (USD 230 million) under a low cost of accidents scenario and UZS 5,942 billion (USD 567 million) under a high cost of accidents scenario.","ai_generated":true,"unit":"iisd-002040#insight-3","date_modified":"2026-10-23"},{"text":"The most significant positive impacts are public revenues from the trade of raw materials (UZS 6,426 billion / USD 613 million) and revenues from transport (UZS 1,129 billion / USD 107 million). In the high cost of traffic accidents scenario, avoided accident costs are valued at UZS 3,732 billion (USD 356 million).","ai_generated":true,"unit":"iisd-002040#insight-4","date_modified":"2026-10-23"},{"text":"The project is expected to cause negative environmental impacts, specifically an increase in air pollution and CO2 emissions resulting from road use.","ai_generated":true,"unit":"iisd-002040#insight-5","date_modified":"2026-10-23"}],"climate_tags":["carbon dioxide emissions","air pollution","road transport"],"geography_discussed":["Karakalpakstan","Uchkuduk","Kazakhstan"],"frame_perspective":[],"analysis_type":["cost-benefit analysis","socioeconomic impact assessment"]},{"id":"iisd-003452","url":"https://climateinsightsdirectory.org/document/iisd-003452","title":"Sustainability Assessment of an Onshore Wind Portfolio in Germany","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/2020-10/savi-onshore-wind-germany-brochure.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The assessment concludes that the onshore wind portfolio is a more resilient and profitable investment than a comparable gas-fired power plant when climate risks and externalities are internalized. While the wind portfolio's performance slightly diminishes when externalities are monetized, the gas-fired plant becomes financially unattractive, with its internal rate of return (IRR) turning negative under a carbon tax scenario.","ai_generated":true,"unit":"iisd-003452#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The integrated Cost-Benefit Analysis (CBA) shows the onshore wind portfolio is more profitable than the gas-fired power plant, with SAVi net results of 21.58 million EUR compared to negative 2.87 million EUR for the gas plant.","ai_generated":true,"unit":"iisd-003452#insight-1","date_modified":"2026-10-23"},{"text":"From a societal perspective, the integrated Levelized Cost of Electricity (LCOE) for onshore wind is approximately 18.5% lower than that of the gas-fired power plant, at 68.76 EUR/MWh versus 81.48 EUR/MWh.","ai_generated":true,"unit":"iisd-003452#insight-2","date_modified":"2026-10-23"},{"text":"The gas-fired power plant is highly vulnerable to transitional climate risks; the imposition of a carbon tax of EUR 25/t CO2 would cause both its project and equity internal rate of return (IRR) to become negative.","ai_generated":true,"unit":"iisd-003452#insight-3","date_modified":"2026-10-23"},{"text":"The onshore wind portfolio demonstrates high financial resilience to the assessed climate risks, with its project IRR (4.93%) and equity IRR (6.70%) remaining unchanged regardless of air temperature increases or carbon taxes.","ai_generated":true,"unit":"iisd-003452#insight-4","date_modified":"2026-10-23"},{"text":"Internalizing externalities reduces the financial attractiveness of the wind portfolio, lowering its project IRR from 4.93% to 4.09% and its equity IRR from 6.70% to 5.23%.","ai_generated":true,"unit":"iisd-003452#insight-5","date_modified":"2026-10-23"}],"climate_tags":["gas-fired power station","climate finance","carbon tax"],"geography_discussed":["Switzerland"],"frame_perspective":[],"analysis_type":["comparative assessment","financial analysis","cost-benefit analysis"]},{"id":"rmi-000779","url":"https://climateinsightsdirectory.org/document/rmi-000779","title":"Minnesotans would save up to $91 billion from climate-smart transportation","publisher":{"name":"RMI","organization":"rmi"},"document_type":"report","language":"en","date_published":null,"source_url":"https://rmi.org/app/uploads/2023/04/minnesota-dot-methodology.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details the analytical approach used to estimate up to $91 billion in savings for Minnesota by comparing 'business-as-usual' transportation scenarios against targets for VMT reduction and net-zero emissions. It describes the monetization of avoided crash fatalities, air quality improvements, fuel and operating costs, and the social cost of carbon.","ai_generated":true,"unit":"rmi-000779#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"RMI compared two Minnesota Department of Transportation (MnDOT) scenarios for Vehicle Miles Traveled (VMT) by 2050: a 'business-as-usual' case projecting 69.7 billion miles and a target scenario of 56.0 billion miles, representing a 20% per capita reduction.","ai_generated":true,"unit":"rmi-000779#insight-1","date_modified":"2026-10-23"},{"text":"To monetize crash fatality and injury savings, the analysis assumes crashes decrease in proportion to VMT reduction, using fatality data from the Fatality Analysis Reporting System (FARS) for 2000-2009 and 2021 U.S. DOT guidance for the statistical value of life.","ai_generated":true,"unit":"rmi-000779#insight-2","date_modified":"2026-10-23"},{"text":"Air quality fatality savings were calculated using the EPA’s COBRA tool, focusing on avoided all-cause mortality from PM2.5, NOx, and SO2, while assuming an ambitious electric vehicle (EV) adoption rate based on the 'Nationally Determined Contribution' (NDC) scenario.","ai_generated":true,"unit":"rmi-000779#insight-3","date_modified":"2026-10-23"},{"text":"The analysis calculates the social cost of carbon (SCC) at $190 per metric ton of CO2, utilizing a 2% near-term Ramsey discount rate as legally adopted by the state of Minnesota in February 2023 via Senate File 4.","ai_generated":true,"unit":"rmi-000779#insight-4","date_modified":"2026-10-23"},{"text":"Fuel and operating cost savings were estimated using 2020 dollars based on EIA and Kelly Blue Book data, assuming that registered private vehicles in Minnesota grow in proportion to the state's population growth through 2050.","ai_generated":true,"unit":"rmi-000779#insight-5","date_modified":"2026-10-23"}],"climate_tags":["decarbonization","electric vehicle","air quality","active mobility","Net-zero emissions"],"geography_discussed":["United States","Portland"],"frame_perspective":[],"analysis_type":["methodology","cost-benefit analysis"]},{"id":"saiia-001748","url":"https://climateinsightsdirectory.org/document/saiia-001748","title":"The Economics of Captive Predator Breeding in South Africa","publisher":{"name":"South African Institute of International Affairs","organization":"south-african-institute-of-international-affairs"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://saiia.org.za/wp-content/uploads/2018/08/Picking-a-bone-with-captive-predator-breeding-in-South-Africa.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report investigates the captive predator breeding industry in South Africa, specifically focusing on lions. It challenges industry claims of economic significance and conservation value, arguing that the industry relies on deceptive marketing to attract volunteer tourists and supplies the 'canned hunting' and lion bone trades. The author contends that the industry lacks scientific grounding, suffers from genetic inbreeding, and may facilitate organised crime through the legal export of lion skeletons to Asia. The paper suggests that the opportunity costs—including damage to South Africa's tourism brand and the loss of potential jobs from ethical ecotourism—outweigh the industry's private returns, recommending a move toward a zero export quota for lion derivatives.","ai_generated":true,"unit":"saiia-001748#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The captive predator breeding industry in South Africa provides no genuine conservation value, and claims to the contrary are not supported by peer-reviewed literature.","ai_generated":true,"unit":"saiia-001748#insight-1","date_modified":"2026-10-23"},{"text":"The industry's economic significance is likely overstated; the author estimates that transforming 81 predator interaction facilities into larger wilderness landscapes for ecotourism could create approximately 608 direct permanent jobs, potentially supporting 1,800 total jobs with a multiplier of three.","ai_generated":true,"unit":"saiia-001748#insight-2","date_modified":"2026-10-23"},{"text":"Volunteer tourism in the industry crowds out local labour, with an estimated 84 permanent jobs potentially foregone because foreign volunteers pay to perform work that would otherwise be supplied by local workers.","ai_generated":true,"unit":"saiia-001748#insight-3","date_modified":"2026-10-23"},{"text":"The South African Department of Environmental Affairs (DEA) increased the annual lion skeleton export quota from 800 to 1,500 in July 2018 without public consultation or scientific substantiation.","ai_generated":true,"unit":"saiia-001748#insight-4","date_modified":"2026-10-23"},{"text":"Legal exports of lion skeletons may serve as a laundering channel for illegal wildlife trade and may stimulate demand for wild felid parts in East-Southeast Asia.","ai_generated":true,"unit":"saiia-001748#insight-5","date_modified":"2026-10-23"},{"text":"Captive-bred lion populations suffer from significant genetic impairment and inbreeding, making them unsuitable for reintroduction into the wild.","ai_generated":true,"unit":"saiia-001748#insight-6","date_modified":"2026-10-23"},{"text":"The industry relies on deceptive practices, including misleading volunteer tourists about the conservation purpose of cub-petting and selling 'canned' hunts as 'wild' hunts.","ai_generated":true,"unit":"saiia-001748#insight-7","date_modified":"2026-10-23"},{"text":"There are documented links between some members of the South African Predator Association (SAPA) and international organised crime syndicates involved in rhino horn and lion bone trafficking.","ai_generated":true,"unit":"saiia-001748#insight-8","date_modified":"2026-10-23"},{"text":"The existence of the captive predator breeding industry may damage South Africa's overall tourism brand, potentially leading to significant revenue losses if ethically conscious high-income tourists avoid the destination.","ai_generated":true,"unit":"saiia-001748#insight-9","date_modified":"2026-10-23"}],"climate_tags":["biodiversity conservation","ecotourism"],"geography_discussed":["East-Southeast Asia","Mozambique","Namibia","People's Republic of China","Vietnam","Free State","North West"],"frame_perspective":[],"analysis_type":["economic assessment","literature review","cost-benefit analysis"]},{"id":"seforall-000214","url":"https://climateinsightsdirectory.org/document/seforall-000214","title":"CLEAN COOKING","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"report","language":"fr","date_published":null,"source_url":"https://www.seforall.org/system/files/2024-09/summary-madagascar-cleancooking_fr.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report assesses the current state of cooking energy in Madagascar, where over 80% of rural households rely on wood and over 60% of urban households use charcoal. It models a 'Base Scenario' aligned with national policy and a 'Universal Access Scenario' aligned with SDG7, estimating the fuel production potential for bioethanol, biogas, and pellets. The analysis highlights that while bio-fuels have significant potential without impacting food security, the primary barrier to adoption is the cost of fuel, which represents 97.1% of transition costs. Transitioning to clean cooking could reduce residential energy consumption by up to 65% and prevent thousands of deaths from indoor air pollution by 2030.","ai_generated":true,"unit":"seforall-000214#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"As of 2020, clean cooking adoption in Madagascar was very low, with less than 12% of the population using clean cooking technologies or improved stoves, and only 1% of households and 4% of institutions using modern energy solutions such as LPG, electricity, or alternative biofuels.","ai_generated":true,"unit":"seforall-000214#insight-1","date_modified":"2026-10-23"},{"text":"The reliance on traditional fuels has severe consequences, including 21,000 annual deaths due to indoor air pollution and a projection that 25% of forests will disappear by 2030, with a portion of this loss driven by household and institutional use of wood and charcoal.","ai_generated":true,"unit":"seforall-000214#insight-2","date_modified":"2026-10-23"},{"text":"The report models two paths to 2030: a Base Scenario targeting 50% household access to improved stoves and 2.5 million households adopting clean cooking, and a Universal Access Scenario aiming for a complete transition to modern energy cooking services for all households and institutions.","ai_generated":true,"unit":"seforall-000214#insight-3","date_modified":"2026-10-23"},{"text":"Biofuels have high production potential in Madagascar without threatening food security; even under the Universal Access Scenario, the biomass required for bioethanol, biogas, and pellets would only use 19.11%, 4.81%, and 6.55% of their respective total potentials.","ai_generated":true,"unit":"seforall-000214#insight-4","date_modified":"2026-10-23"},{"text":"The financial gap for the transition is substantial, with the Universal Access Scenario requiring $8.6 billion to fund the affordability gap compared to the base case. Fuel costs are the dominant barrier, accounting for 97.1% of the transition cost from the user's perspective.","ai_generated":true,"unit":"seforall-000214#insight-5","date_modified":"2026-10-23"},{"text":"Transitioning to clean cooking would significantly reduce the domestic workload for women, decreasing the average time spent cooking from 3.30 hours per day in 2023 to 2.66 hours in the Base Scenario and 1.77 hours in the Universal Access Scenario by 2030.","ai_generated":true,"unit":"seforall-000214#insight-6","date_modified":"2026-10-23"},{"text":"The transition is projected to have major health benefits, potentially avoiding 8,022 child deaths and 49,183 adult deaths under the Universal Access Scenario by 2030.","ai_generated":true,"unit":"seforall-000214#insight-7","date_modified":"2026-10-23"}],"climate_tags":["clean cooking","ethanol fuel","biogas","deforestation","greenhouse gas emissions","energy transition","household air pollution"],"geography_discussed":["Antananarivo"],"frame_perspective":[],"analysis_type":["geospatial modeling","scenario analysis","cost-benefit analysis"]},{"id":"seforall-000218","url":"https://climateinsightsdirectory.org/document/seforall-000218","title":"ECONOMIC MODEL MANUAL","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"guide","language":"en","date_published":null,"source_url":"https://www.seforall.org/system/files/2021-02/SVC-Economic-Model-SEforALL.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document describes an Excel-based economic model designed to assess the Nigerian solar value chain, specifically focusing on Solar Home Systems (SHS) and mini-grids. It outlines how users can simulate different scenarios—importation, local assembly, and local manufacturing—to determine their effects on product pricing, job creation, government revenue, and greenhouse gas emissions. The manual details the model's dashboards, input sheets, and the underlying cost-per-watt and bottom-up methodologies used to derive costs and tariffs.","ai_generated":true,"unit":"seforall-000218#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The economic model is designed to help stakeholders identify efficiencies and economies of scale in Nigeria's solar upstream value chain, specifically assessing the viability of local assembly or manufacturing.","ai_generated":true,"unit":"seforall-000218#insight-1","date_modified":"2026-10-23"},{"text":"The model evaluates the impact of various policy and financial drivers on solar adoption, including the effects of importation tariffs and subsidies from the Nigerian Electrification Project on SHS pricing and mini-grid tariffs.","ai_generated":true,"unit":"seforall-000218#insight-2","date_modified":"2026-10-23"},{"text":"The tool tracks several key outcome indicators resulting from public and private interventions, including the number of jobs created, product prices, government revenue, and greenhouse gas (GHG) emissions savings.","ai_generated":true,"unit":"seforall-000218#insight-3","date_modified":"2026-10-23"},{"text":"For Solar Home Systems (SHS), the model utilizes a cost-per-watt methodology to aggregate costs from the raw material level up to the final unit cost across three scenarios: importation, assembly, and manufacturing.","ai_generated":true,"unit":"seforall-000218#insight-4","date_modified":"2026-10-23"},{"text":"The mini-grid cost tariff is calculated using a bottom-up approach that aggregates development, generation, distribution, and metering costs, which are then divided by the total power generated over the asset's useful life.","ai_generated":true,"unit":"seforall-000218#insight-5","date_modified":"2026-10-23"},{"text":"The model includes specific assumptions for job creation per 1MW of added capacity: 75 downstream jobs, 25 upstream jobs for an assembler, and 13 upstream jobs for a manufacturer.","ai_generated":true,"unit":"seforall-000218#insight-6","date_modified":"2026-10-23"},{"text":"The model assesses Nigeria's export potential within the ECOWAS region by comparing the price and delivery time of Nigerian-assembled SHS against those imported from China.","ai_generated":true,"unit":"seforall-000218#insight-7","date_modified":"2026-10-23"}],"climate_tags":["Mini-grids","renewable energy policy","greenhouse gas emissions","climate finance","job creation"],"geography_discussed":["People's Republic of China","ECOWAS"],"frame_perspective":[],"analysis_type":["economic modeling","policy analysis","cost-benefit analysis"]},{"id":"seforall-000303","url":"https://climateinsightsdirectory.org/document/seforall-000303","title":"Malawi – Electrification Report","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"report","language":"en","date_published":null,"source_url":"https://www.seforall.org/system/files/2023-04/Malawi%20IEP%20-%20Clean%20Cooking%20Report_FINAL_compressed.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report evaluates Malawi's progress toward clean cooking goals, highlighting a significant gap between current ownership and 2030 targets. It identifies affordability and low stove durability as primary barriers, estimating a $108.8M investment needed for the Compact scenario and $246.0M for the more ambitious IEP scenario. The IEP scenario envisions a total phase-out of fuelwood and charcoal by leveraging universal electrification for e-cooking and expanding biofuels. The report emphasizes the need for durable stoves, innovative financing, and regional strategies, particularly in the Northern region, to reduce health risks and gender-based time burdens associated with fuel collection.","ai_generated":true,"unit":"seforall-000303#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Meeting the 2030 goals of the Malawi SDG7 Cleaner Cooking Energy Compact requires an estimated investment of $108.8M, consisting of $52.7M for new technologies and $56.1M for replacing degraded stoves.","ai_generated":true,"unit":"seforall-000303#insight-1","date_modified":"2026-10-23"},{"text":"The low durability of improved cookstoves in Malawi is a major financial challenge; portable wood stoves are assumed to have a two-year lifespan, meaning approximately 2.34M stoves would need annual replacement by 2030.","ai_generated":true,"unit":"seforall-000303#insight-2","date_modified":"2026-10-23"},{"text":"Affordability is the primary barrier to adopting improved cookstoves, with 51.6% of surveyed rural households stating they cannot afford payments for stoves.","ai_generated":true,"unit":"seforall-000303#insight-3","date_modified":"2026-10-23"},{"text":"The IEP scenario, which assumes 100% electricity access by 2030, would allow e-cooking to reach 73.1% of all households, significantly exceeding the Compact's target of 15% for urban households.","ai_generated":true,"unit":"seforall-000303#insight-4","date_modified":"2026-10-23"},{"text":"Transitioning to the IEP scenario would result in a 69.0% reduction in primary energy use for cooking and a 75.4% reduction in per capita energy use, completely phasing out firewood and charcoal.","ai_generated":true,"unit":"seforall-000303#insight-5","date_modified":"2026-10-23"},{"text":"The Northern region of Malawi has significantly lower distribution of improved stoves and clean fuel access compared to the Central and Southern regions, requiring targeted resources and incentives.","ai_generated":true,"unit":"seforall-000303#insight-6","date_modified":"2026-10-23"},{"text":"Switching to more efficient firewood stoves can reduce the time rural women spend collecting wood by 20-50%, potentially saving 50-125 hours per household annually.","ai_generated":true,"unit":"seforall-000303#insight-7","date_modified":"2026-10-23"},{"text":"The 2030 IEP goals are projected to avert 30,609 deaths and 1,689,361 disability-adjusted life years (DALYs) per year by reducing exposure to fine particulate matter (PM2.5).","ai_generated":true,"unit":"seforall-000303#insight-8","date_modified":"2026-10-23"},{"text":"There is substantial underutilized potential for alternative fuels in rural areas, specifically bioethanol from sugarcane and pelletized biomass from agricultural waste (maize and cassava).","ai_generated":true,"unit":"seforall-000303#insight-9","date_modified":"2026-10-23"},{"text":"Cookstoves in rural Malawi are frequently used for non-meal purposes, with 63.5% of surveyed households using them for space heating.","ai_generated":true,"unit":"seforall-000303#insight-10","date_modified":"2026-10-23"}],"climate_tags":["clean cooking","ethanol fuel","biogas","energy transition","energy access","deforestation","carbon dioxide emissions","household air pollution","gender equality","climate finance"],"geography_discussed":["Northern Region","Central Region","Southern Region","Lilongwe"],"frame_perspective":[],"analysis_type":["scenario modeling","geospatial analysis","cost-benefit analysis","health impact assessment"]},{"id":"sei-001173","url":"https://climateinsightsdirectory.org/document/sei-001173","title":"From Waste to Traffic Fuel (W-Fuel)","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":null,"source_url":"https://www.sei.org/wp-content/uploads/2018/02/4432.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The W-Fuel project investigated the feasibility of producing biomethane from locally sourced biodegradable waste, sludge, manure, and energy crops in northern Estonia. The study focused on two pilot sites: the Hinnu pig farm in Harju County and a proposed plant in Rakvere, Lääne-Viru County. Findings indicate that while CHP production may be more commercially profitable due to existing feed-in tariffs, upgrading biogas to biomethane for transport fuel is more socially and environmentally beneficial, particularly when accounting for the EU Emissions Trading Scheme (EU-ETS). The report also provides detailed biomass availability forecasts for 2020 and recommends specific waste prevention measures and governmental support schemes to facilitate the transition to gaseous renewable fuels.","ai_generated":true,"unit":"sei-001173#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In Harju County, the total biomethane production potential for 2020 is estimated at approximately 17.3 million m3/y, with energy crops contributing the largest share at about 75%.","ai_generated":true,"unit":"sei-001173#insight-1","date_modified":"2026-10-23"},{"text":"In Lääne-Viru County, the total biomethane production potential for 2020 is estimated at about 24.4 million m3/year, with energy crops providing approximately 66% of this potential.","ai_generated":true,"unit":"sei-001173#insight-2","date_modified":"2026-10-23"},{"text":"For the Hinnu pilot plant in Harju County, producing biomethane for transport fuel is socially more beneficial than producing electricity and heat, with a social benefit-cost (B/C) ratio of 1.56 compared to 0.85 for the CHP option (if heat is not utilized).","ai_generated":true,"unit":"sei-001173#insight-3","date_modified":"2026-10-23"},{"text":"At the Rakvere pilot plant, both CHP and biomethane options are socially beneficial, but producing vehicle fuel offers a higher social B/C ratio of 2.3 compared to 1.7 for the CHP option.","ai_generated":true,"unit":"sei-001173#insight-4","date_modified":"2026-10-23"},{"text":"The environmental impact of biogas use is highly sensitive to the electricity generation baseline; replacing the average Estonian electricity mix (87% oil shale) yields higher emission savings than transport fuel, but when the EU-ETS is considered, biomethane for transport provides greater environmental improvement.","ai_generated":true,"unit":"sei-001173#insight-5","date_modified":"2026-10-23"},{"text":"Commercial profitability currently favors CHP production over biomethane upgrading due to lower investment costs and the availability of feed-in tariffs (FITs) for electricity.","ai_generated":true,"unit":"sei-001173#insight-6","date_modified":"2026-10-23"},{"text":"The report identifies that food waste prevention in Harju County could save between 30,000 and 127,000 tCO2-eq and between 29 and 122 MEUR by 2020, depending on the prevention target (2% to 30% reduction).","ai_generated":true,"unit":"sei-001173#insight-7","date_modified":"2026-10-23"},{"text":"For the Hinnu plant, water scrubbing is recommended as the most viable upgrading technology due to the proximity of the Kuusalu wastewater treatment plant, which can provide process water.","ai_generated":true,"unit":"sei-001173#insight-8","date_modified":"2026-10-23"},{"text":"For the Rakvere plant, an amino wash method is selected for upgrading because it can produce high-quality biomethane with methane losses of less than 0.1%.","ai_generated":true,"unit":"sei-001173#insight-9","date_modified":"2026-10-23"}],"climate_tags":["renewable natural gas","biogas","renewable energy","greenhouse gas emissions","European Union Emission Trading Scheme 1","life cycle assessment"],"geography_discussed":["Estonia","Tallinn","Rakvere"],"frame_perspective":[],"analysis_type":["feasibility study","environmental impact assessment","economic impact assessment","cost-benefit analysis"]},{"id":"sei-001176","url":"https://climateinsightsdirectory.org/document/sei-001176","title":"Uuringu_kokkuvote.doc","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"et","date_published":null,"source_url":"https://www.sei.org/wp-content/uploads/2018/02/4440.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report, published by the Stockholm Environment Institute in November 2009, presents a calculation and simulation model for the social costs of land transport in Estonia. It estimates the total external costs for 2007, breaks them down by cost type and vehicle category, and analyzes the extent to which these costs are internalized through existing taxes and fees.","ai_generated":true,"unit":"sei-001176#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"In 2007, the total external costs of land transport in Estonia were 7.637 billion EEK, representing 3.1% of the GDP. The largest contributors were traffic accidents (2.163 billion EEK), air pollution (1.834 billion EEK), and noise (1.253 billion EEK).","ai_generated":true,"unit":"sei-001176#insight-1","date_modified":"2026-08-17"},{"text":"Passenger cars are the primary source of external costs across nearly all categories, totaling 4.3 billion EEK. The only exceptions are noise and soil/water pollution, where heavy goods vehicles (trucks) are the largest contributors.","ai_generated":true,"unit":"sei-001176#insight-2","date_modified":"2026-08-17"},{"text":"Compared to an average of 15 old EU member states, Hungary, and Switzerland (via the UNITE project), Estonia has significantly higher costs from traffic accidents (0.9% of GDP vs 0.46%) but lower congestion costs (0.2% of GDP vs 1.11%).","ai_generated":true,"unit":"sei-001176#insight-3","date_modified":"2026-08-17"},{"text":"The internalization of external costs through taxes and fees in 2007 was 5.6 billion EEK (73% of total external costs) if the full fuel excise duty is included. However, if the portion of fuel excise duty allocated to road maintenance is excluded, the internalized amount drops to 2.3 billion EEK, or 30.6% of external costs.","ai_generated":true,"unit":"sei-001176#insight-4","date_modified":"2026-08-17"},{"text":"The report estimates that the use of studded tires in Estonia causes an indicative external cost of approximately 269 to 272 million EEK due to PM10 emissions resulting from road surface wear.","ai_generated":true,"unit":"sei-001176#insight-5","date_modified":"2026-08-17"},{"text":"The authors argue that current Estonian taxes are not closely linked to environmental friendliness. Specifically, the heavy vehicle tax is based on mass and axle count rather than vehicle age or emissions, and fuel excise duty is ineffective for internalizing location-specific costs like congestion.","ai_generated":true,"unit":"sei-001176#insight-6","date_modified":"2026-08-17"}],"climate_tags":["energy transition","greenhouse gas emissions","transportation","external costs","air pollution"],"geography_discussed":["Tallinn","Tartu"],"frame_perspective":[],"analysis_type":["economic modeling","cost-benefit analysis","policy evaluation"]},{"id":"sei-001408","url":"https://climateinsightsdirectory.org/document/sei-001408","title":"idee_galapagos_2020-890b30cc0dd3bba3.pdf","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"es","date_published":null,"source_url":"https://cdn.leap.sei.org/documents/IDEE_Galapagos_2020.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes the energy transition of the Galápagos Islands, focusing on the total elimination of fossil fuels by 2040. It evaluates four demand sectors—residential, commercial/public, land transport, and maritime transport—and proposes three levels of policy ambition (Low, Medium, and High). Key strategies include replacing LPG with induction stoves and solar water heaters, electrifying land transport, and implementing a mix of slow steaming, wind-assisted propulsion, and biofuels for the maritime fleet. On the supply side, the report models the transition to 100% renewable electricity using solar PV, wind, Concentrated Solar Power (CSP), and geothermal energy. It concludes that while technological substitutions are generally cost-effective, structural infrastructure changes in buildings are not. The report also highlights the role of national subsidies and proposes an 'Eco Tax' for tourists to fund the transition.","ai_generated":true,"unit":"sei-001408#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The residential sector's energy demand is split almost equally between electricity and LPG, with food cooking accounting for nearly 50% of household demand.","ai_generated":true,"unit":"sei-001408#insight-1","date_modified":"2026-10-23"},{"text":"Replacing LPG stoves with induction stoves is highly cost-effective, with a projected net accumulated saving of 21 million USD.","ai_generated":true,"unit":"sei-001408#insight-2","date_modified":"2026-10-23"},{"text":"Sustainable building interventions for existing homes are not cost-effective because the high implementation costs outweigh the energy savings, as these measures only impact about 10% of final household electricity demand.","ai_generated":true,"unit":"sei-001408#insight-3","date_modified":"2026-10-23"},{"text":"In the commercial and public sector, technological substitutions for LPG (solar water heaters and induction stoves) are beneficial, but infrastructure improvements for thermal envelopes do not compensate for their costs.","ai_generated":true,"unit":"sei-001408#insight-4","date_modified":"2026-10-23"},{"text":"The land transport sector is the second largest consumer of fuels in the islands. The 'High' policy scenario achieves zero fossil fuels by 2040 through a total conversion of the vehicle fleet to electricity and biodiesel.","ai_generated":true,"unit":"sei-001408#insight-5","date_modified":"2026-10-23"},{"text":"The maritime sector is the highest energy consumer. The 'High' impact scenario reduces energy demand by approximately 53% and greenhouse gas (GHG) emissions by 95% compared to the reference scenario.","ai_generated":true,"unit":"sei-001408#insight-6","date_modified":"2026-10-23"},{"text":"The maritime transition strategy includes slow steaming, sails, main engine efficiency, solar panels for auxiliary engines, LNG, marine biofuels, and electric propulsion.","ai_generated":true,"unit":"sei-001408#insight-7","date_modified":"2026-10-23"},{"text":"The electricity supply transition targets 100% renewable generation by 2040 (Low), 2035 (Medium), or 2030 (High), utilizing solar PV, wind, CSP, and geothermal energy.","ai_generated":true,"unit":"sei-001408#insight-8","date_modified":"2026-10-23"},{"text":"A proposed 10 MW geothermal plant in Isabela with a submarine interconnection to Santa Cruz was found to be partially oversized, leading to significant energy curtailment and an incremental present value cost of 26 million USD.","ai_generated":true,"unit":"sei-001408#insight-9","date_modified":"2026-10-23"},{"text":"The Ecuadorian state provides approximately 14 million USD annually in energy subsidies for the Galápagos province, primarily for fossil fuels and electricity.","ai_generated":true,"unit":"sei-001408#insight-10","date_modified":"2026-10-23"},{"text":"The report proposes an 'Eco Tax' for tourists to fund the transition; a contribution of approximately 2.5 USD per person-day could cover the incremental investment costs for the 'Low' ambition scenario.","ai_generated":true,"unit":"sei-001408#insight-11","date_modified":"2026-10-23"}],"climate_tags":["energy transition","decarbonization","renewable energy","photovoltaics","wind power","geothermal energy","electric vehicle","biodiesel","liquefied natural gas","energy efficiency","greenhouse gas emissions","public transport","water transport","climate finance","energy subsidy"],"geography_discussed":["Santa Cruz","San Cristóbal","Isabela Island","Floreana Island"],"frame_perspective":[],"analysis_type":["scenario modeling","cost-benefit analysis","policy assessment"]},{"id":"sei-001467","url":"https://climateinsightsdirectory.org/document/sei-001467","title":"Low-Carbon Development for MEXICO","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":null,"source_url":"https://leap.sei.org/documents/MEDEC2009_EN.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes 40 low-carbon interventions in Mexico's electric power, oil and gas, energy end-use, transport, and agriculture and forestry sectors. It finds that implementing these measures could stabilize emissions at 2008 levels by 2030, avoiding approximately 477 Mt CO2e relative to a baseline scenario. Many of these interventions are 'no-regrets' options with positive economic returns, though their scale-up is hindered by institutional, regulatory, and financial barriers.","ai_generated":true,"unit":"sei-001467#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Under a baseline scenario, Mexico's total greenhouse gas emissions are projected to grow from 659 Mt CO2e in 2008 to 1,137 Mt CO2e by 2030.","ai_generated":true,"unit":"sei-001467#insight-1","date_modified":"2026-10-23"},{"text":"The implementation of 40 identified MEDEC interventions could reduce CO2e emissions by approximately 477 Mt by 2030 compared to the baseline, effectively stabilizing emissions at 2008 levels.","ai_generated":true,"unit":"sei-001467#insight-2","date_modified":"2026-10-23"},{"text":"Agriculture and forestry offer the highest cumulative emissions reduction potential, contributing 32% of the total reductions in the MEDEC scenario, followed by transport at 27%.","ai_generated":true,"unit":"sei-001467#insight-3","date_modified":"2026-10-23"},{"text":"A significant portion of the proposed mitigation is highly cost-effective; 82% of the total emissions reduction potential of MEDEC interventions costs $10/t CO2e or less.","ai_generated":true,"unit":"sei-001467#insight-4","date_modified":"2026-10-23"},{"text":"In the electric power sector, the baseline scenario predicts a 230% increase in CO2e emissions by 2030, driven by a shift toward coal and natural gas.","ai_generated":true,"unit":"sei-001467#insight-5","date_modified":"2026-10-23"},{"text":"The electric power sector could significantly reduce emissions by replacing fossil fuel capacity with wind, geothermal, biomass, and small hydro, reducing coal's share of generation from 31% to 6%.","ai_generated":true,"unit":"sei-001467#insight-6","date_modified":"2026-10-23"},{"text":"Road transport is the largest and fastest-growing source of emissions in Mexico, with road transport accounting for approximately 90% of the sector's CO2e emissions.","ai_generated":true,"unit":"sei-001467#insight-7","date_modified":"2026-10-23"},{"text":"Forestry interventions, particularly those reducing deforestation and forest degradation (REDD), account for 85% of the proposed mitigation in the agriculture and forestry sector.","ai_generated":true,"unit":"sei-001467#insight-8","date_modified":"2026-10-23"},{"text":"Energy end-use efficiency in the residential sector is hindered by electricity subsidies for middle- and high-income consumers, which discourage investment in efficient appliances.","ai_generated":true,"unit":"sei-001467#insight-9","date_modified":"2026-10-23"},{"text":"The total new investment required to achieve the MEDEC low-carbon scenario is estimated at $64.5 billion between 2009 and 2030, representing about 0.4% of Mexico's 2008 GDP.","ai_generated":true,"unit":"sei-001467#insight-10","date_modified":"2026-10-23"},{"text":"Macroeconomic modeling suggests that implementing MEDEC interventions could increase Mexico's overall GDP by up to 5% by 2030, with the greatest welfare gains accruing to the lowest income deciles.","ai_generated":true,"unit":"sei-001467#insight-11","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","renewable energy","energy efficiency","electricity generation","wind power","geothermal power","small hydro","petroleum industry","methane leak","sustainable transport","bus rapid transit","forestry","reforestation","afforestation","Reducing emissions from deforestation and forest degradation","biofuel","climate finance","clean development mechanism"],"geography_discussed":["Brazil","People's Republic of China","India","South Africa","Oaxaca","Veracruz"],"frame_perspective":[],"analysis_type":["cost-benefit analysis","scenario modeling","macroeconomic impact assessment"]},{"id":"sei-002193","url":"https://climateinsightsdirectory.org/document/sei-002193","title":"The Economics of Climate Change in Rwanda","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":null,"source_url":"https://www.sei.org/mediamanager/documents/Publications/Climate/cc_economics_rwanda.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that Rwanda faces significant economic costs from existing climate variability and future climate change, particularly in health, agriculture, and water sectors. It estimates that future climate change could cost Rwanda nearly 1% of its GDP annually by 2030, excluding extreme events. Adaptation costs are projected to range from $50 million to $600 million per year by 2030, depending on whether development-related needs are included. The study also identifies a low-carbon growth pathway as being in Rwanda's self-interest to avoid 'lock-in' to high-emission infrastructure and to access carbon financing.","ai_generated":true,"unit":"sei-002193#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Existing climate variability already imposes significant economic costs on Rwanda, with periodic floods and droughts reducing economic growth. For example, the 2007 flood in the Nyabihu and Rubavu districts resulted in direct measurable economic costs between $4 million and $22 million, representing approximately 0.1% to 0.6% of GDP for those two districts alone.","ai_generated":true,"unit":"sei-002193#insight-1","date_modified":"2026-10-23"},{"text":"Future climate change is projected to cause additional economic losses. Aggregate models suggest that by 2030, net economic costs—excluding future floods and other extremes—could be equivalent to a loss of nearly 1% of GDP annually.","ai_generated":true,"unit":"sei-002193#insight-2","date_modified":"2026-10-23"},{"text":"Climate warming is expected to significantly increase the health burden of malaria. By the 2050s, a central projection of 2.2ºC warming could increase the rural population at risk for malaria by 153%, with potential full economic costs exceeding $50 million per year.","ai_generated":true,"unit":"sei-002193#insight-3","date_modified":"2026-10-23"},{"text":"Socio-economic growth and population increases will amplify the costs of extreme events even without climate change. By 2030, these drivers alone could increase the costs of periodic floods by a factor of five, potentially leading to direct economic costs of up to $100 million for a large-scale regional event similar to the 2007 flood.","ai_generated":true,"unit":"sei-002193#insight-4","date_modified":"2026-10-23"},{"text":"Ecosystem services are critical to the Rwandan economy, underpinning over 50% of the national GDP. These services are currently under stress from population pressure and biodiversity loss, which climate change will further exacerbate.","ai_generated":true,"unit":"sei-002193#insight-5","date_modified":"2026-10-23"},{"text":"Adaptation costs for Rwanda are estimated to rise over time. Immediate needs for 2012 are estimated at $50 million per year for building capacity and early priorities, rising to $300 million to $400 million if social protection and accelerated development are included. By 2030, costs to address future climate change alone are estimated between $50 million and $300 million per year, with a plausible upper bound of $600 million per year when including development activities.","ai_generated":true,"unit":"sei-002193#insight-6","date_modified":"2026-10-23"},{"text":"Rwanda's greenhouse gas emissions are currently low, but are projected to increase significantly under a 'business as usual' scenario consistent with Vision 2020, with total emissions estimated to double between 2005 and 2020. The transport and agriculture sectors are expected to be the dominant sources of future emissions.","ai_generated":true,"unit":"sei-002193#insight-7","date_modified":"2026-10-23"},{"text":"Following a low-carbon development path is considered to be in Rwanda's self-interest, offering economic benefits through reduced fuel imports, improved air quality, and access to international carbon financing. Many 'no regrets' options, particularly in transport efficiency, domestic stoves, and agriculture, could be realized at negative cost.","ai_generated":true,"unit":"sei-002193#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate finance","climate change adaptation","climate change mitigation","greenhouse gas emissions","flood risk","drought","malaria","agriculture","water management","hydroelectricity","ecosystem service","biodiversity","bioenergy","carbon credit","soil erosion","urban planning"],"geography_discussed":["Africa","East Africa","Kigali","Nyabugogo River Plain","Bahimba Valley","Nyabihu District","Musanze District","Rubavu District"],"frame_perspective":[],"analysis_type":["economic impact assessment","cost-benefit analysis","sectoral analysis","case study"]},{"id":"sei-002275","url":"https://climateinsightsdirectory.org/document/sei-002275","title":"ETHIOPIA’S LONG-TERM LOW EMISSION AND CLIMATE RESILIENT DEVELOPMENT STRATEGY (2020-2050)","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":null,"source_url":"https://leap.sei.org/documents/EthiopiaLTLEDS2022.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Ethiopia's Long-Term Low Emission and Climate Resilient Development Strategy (2020-2050) establishes a pathway to net-zero emissions by 2050. The strategy analyzes four scenarios: Business-as-Usual (BAU), NDC-aligned, Maximum Ambition, and Late Action. It prioritizes decarbonization in energy, transport, agriculture, forestry, waste, and industrial processes (IPPU). Key pillars include expanding renewable energy, electrifying transport, enhancing carbon sinks through reforestation, and modernizing agriculture. The document emphasizes a 'just transition' through a Women and Youth in Green Jobs Program and identifies a significant financing gap, estimating a total investment requirement of USD 154 billion for the NDC-aligned scenario.","ai_generated":true,"unit":"sei-002275#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Ethiopia aims to reach net-zero emissions by 2050, with the 'NDC-aligned scenario' identified as the most plausible pathway, achieving a balance of cost-effectiveness and ambition.","ai_generated":true,"unit":"sei-002275#insight-1","date_modified":"2026-10-23"},{"text":"Under the Business-as-Usual (BAU) scenario, total national CO2e emissions are projected to rise from 299 Mt in 2020 to approximately 558.7 Mt by 2050.","ai_generated":true,"unit":"sei-002275#insight-2","date_modified":"2026-10-23"},{"text":"The energy sector transition focuses on 100% renewable electricity generation by 2050, primarily through hydropower, solar PV, wind, bioenergy, and geothermal sources.","ai_generated":true,"unit":"sei-002275#insight-3","date_modified":"2026-10-23"},{"text":"Transport decarbonization relies on shifting from petroleum to hybrid and electric vehicles, expanding mass transit (BRT and rail), and promoting non-motorized transport (NMT).","ai_generated":true,"unit":"sei-002275#insight-4","date_modified":"2026-10-23"},{"text":"Agriculture and land use are the largest emission sources; mitigation strategies include improving livestock productivity, expanding perennial crops, and implementing integrated soil fertility management.","ai_generated":true,"unit":"sei-002275#insight-5","date_modified":"2026-10-23"},{"text":"Forestry is viewed as a critical carbon sink; the strategy targets reduced deforestation, afforestation, and forest restoration to achieve significant carbon removals.","ai_generated":true,"unit":"sei-002275#insight-6","date_modified":"2026-10-23"},{"text":"The waste sector will be modernized through organic waste processing (composting and anaerobic digestion), landfill gas management, and the '4R' measures (reduce, reuse, recycle, and recover energy).","ai_generated":true,"unit":"sei-002275#insight-7","date_modified":"2026-10-23"},{"text":"Industrial Processes and Product Use (IPPU) mitigation focuses on reducing clinker content in cement, recycling high-quality steel scrap, and the long-term goal of implementing Carbon Capture and Storage (CCS).","ai_generated":true,"unit":"sei-002275#insight-8","date_modified":"2026-10-23"},{"text":"The transition is projected to boost economic growth and employment, with the NDC-aligned scenario estimating a total real GDP of USD 1.01 trillion by 2050 and the creation of approximately 1.77 million green jobs by 2050.","ai_generated":true,"unit":"sei-002275#insight-9","date_modified":"2026-10-23"},{"text":"The NDC-aligned scenario requires a total investment of USD 154 billion (net present value) from 2020 to 2050, with 80% (USD 124 billion) expected to be conditional on international funding.","ai_generated":true,"unit":"sei-002275#insight-10","date_modified":"2026-10-23"},{"text":"To ensure a just transition, the strategy proposes a 'Women and Youth in Green Jobs Program' to address structural barriers such as skills mismatch, informality, and unpaid care work.","ai_generated":true,"unit":"sei-002275#insight-11","date_modified":"2026-10-23"}],"climate_tags":["Net-zero emissions","climate resilience","renewable energy","hydropower","photovoltaics","wind power","geothermal energy","electric vehicle","sustainable agriculture","reforestation","afforestation","carbon sink","waste-to-energy","carbon capture and storage","green job","climate finance","just transition","Sustainable Development Goals"],"geography_discussed":["Africa","Addis Ababa"],"frame_perspective":[],"analysis_type":["scenario analysis","cost-benefit analysis","macroeconomic modeling"]}]}