{"query_echo":{"q":"","filters":{"analysis_type":["macroeconomic modeling"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'macroeconomic modeling' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":9,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=macroeconomic+modeling","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-003086","url":"https://climateinsightsdirectory.org/document/iisd-003086","title":"Budgeting for Net Zero: Powering India\u0019s reliable clean energy future","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2025-12","source_url":"https://www.iisd.org/system/files/2025-12/india-budgeting-for-net-zero-fdre.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes the economic viability of firm and dispatchable renewable energy (FDRE)—hybrid systems of solar, wind, and battery storage—as an alternative to coal in India. It finds that FDRE's competitiveness depends heavily on the ability of developers to sell surplus power in the open market, with cost parity with coal projected between 2025 and 2048 depending on the scenario. When accounting for health and climate externalities, FDRE is immediately competitive. The study suggests that scaling FDRE would boost GDP and net job creation, though it recommends a mix of FDRE and stand-alone storage to optimize system flexibility and capital efficiency.","ai_generated":true,"unit":"iisd-003086#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"FDRE's cost competitiveness relative to new pithead coal plants depends on the percentage of surplus power sold in the open market: parity is reached from 2025 if 100% of surplus is sold, by 2030 if 50% is sold, and by 2047 if 30% is sold.","ai_generated":true,"unit":"iisd-003086#insight-1","date_modified":"2026-10-23"},{"text":"Accounting for the externalities of coal combustion—specifically mortality, morbidity, and climate change—increases the effective LCOE of coal to INR 13.19/kWh in 2025, making FDRE immediately competitive across all analyzed scenarios.","ai_generated":true,"unit":"iisd-003086#insight-2","date_modified":"2026-10-23"},{"text":"Scaling FDRE is projected to have a positive macroeconomic impact, increasing GDP by 1.8% by 2050 and creating a net of 64,000 jobs by 2050 after accounting for losses in coal power plants.","ai_generated":true,"unit":"iisd-003086#insight-3","date_modified":"2026-10-23"},{"text":"FDRE deployment faces structural hurdles, including the need to oversize generation and storage by 2.5 to 3.5 times to meet Demand Fulfillment Ratio (DFR) requirements, which increases upfront capital costs.","ai_generated":true,"unit":"iisd-003086#insight-4","date_modified":"2026-10-23"},{"text":"FDRE projects offer a significant deployment advantage over coal plants, with commissioning timelines of 2 to 2.5 years compared to 5 to 7 years for new coal-fired plants.","ai_generated":true,"unit":"iisd-003086#insight-5","date_modified":"2026-10-23"},{"text":"The report argues that while FDRE is useful for specific demand profiles, the government should also prioritize stand-alone energy storage systems to achieve better capital utilization and system flexibility.","ai_generated":true,"unit":"iisd-003086#insight-6","date_modified":"2026-10-23"},{"text":"Current FDRE market uptake has been only partially successful; as of September 2025, 9.7 GW is under construction, while 4.2 GW of tenders were cancelled and approximately 8 GW were not awarded.","ai_generated":true,"unit":"iisd-003086#insight-7","date_modified":"2026-10-23"},{"text":"To improve FDRE uptake, the report recommends redesigning tenders to include less onerous DFR requirements and introducing capacity charges for battery storage to remunerate system-wide ancillary services.","ai_generated":true,"unit":"iisd-003086#insight-8","date_modified":"2026-10-23"}],"climate_tags":["battery energy storage system","energy transition","Net-zero emissions","climate finance","carbon price","greenhouse gas emissions","air pollution","photovoltaics"],"geography_discussed":["United Kingdom","Australia","United States","Canada","Germany"],"frame_perspective":[],"analysis_type":["cost-benefit analysis","macroeconomic modeling","policy assessment","comparative analysis"]},{"id":"iisd-003085","url":"https://climateinsightsdirectory.org/document/iisd-003085","title":"Budgeting for Net Zero","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2024-12","source_url":"https://www.iisd.org/system/files/2024-12/india-budgeting-for-net-zero.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes the cost gaps for battery energy storage systems (BESSs), offshore wind, solar PV, electric vehicles (EVs), and green hydrogen (GH2) in India. It finds that while current subsidies are sufficient for solar PV and BESSs, significant additional support is needed for offshore wind, EVs, and GH2. Macroeconomic modeling suggests that bridging these gaps generally boosts GDP and employment, except for GH2, which remains cost-uncompetitive until after 2050.","ai_generated":true,"unit":"iisd-003085#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Existing Central Government subsidies are sufficient to cover the cost gap for solar PV and battery energy storage systems (BESSs), but only cover 1%–59% of the gap for offshore wind, green hydrogen (GH2), and electric vehicles (EVs).","ai_generated":true,"unit":"iisd-003085#insight-1","date_modified":"2026-10-23"},{"text":"The cost gap for BESSs is estimated at INR 2,637 crore (USD 321 million), and the technology is projected to reach cost parity with the benchmark evening electricity tariff by 2028.","ai_generated":true,"unit":"iisd-003085#insight-2","date_modified":"2026-10-23"},{"text":"Offshore wind has a substantial cost gap of INR 5.1 lakh crore (USD 61 billion) to reach the 37 GW goal by 2030, with a projected grid parity timeline of at least 12 more years.","ai_generated":true,"unit":"iisd-003085#insight-3","date_modified":"2026-10-23"},{"text":"Domestic manufacturing policies for solar PV, including a 40% customs duty, have increased project costs, potentially leading to a shortfall of approximately 20 GW against the 2030 capacity goal of 293 GW.","ai_generated":true,"unit":"iisd-003085#insight-4","date_modified":"2026-10-23"},{"text":"To achieve the 30% EV sales target by 2030, demand-side incentives are required for all segments except electric three-wheelers (e3Ws), which have already achieved cost parity.","ai_generated":true,"unit":"iisd-003085#insight-5","date_modified":"2026-10-23"},{"text":"Green hydrogen (GH2) is projected to remain uncompetitive against 'grey' hydrogen until after 2050, with current subsidies covering only about 5% of the cost gap.","ai_generated":true,"unit":"iisd-003085#insight-6","date_modified":"2026-10-23"},{"text":"Macroeconomic modeling indicates that government support to bridge cost gaps for BESSs, solar PV, offshore wind, and EVs increases GDP, employment, and net revenue by 2050, while GH2 shows a negative benefit-to-cost ratio (BCR) of -0.24.","ai_generated":true,"unit":"iisd-003085#insight-7","date_modified":"2026-10-23"}],"climate_tags":["battery energy storage system","offshore wind power","photovoltaics","electric vehicle","green hydrogen","carbon tax","climate finance","carbon neutrality","decarbonization"],"geography_discussed":["People's Republic of China","United States","European Union","United Kingdom","Tamil Nadu","Gujarat"],"frame_perspective":[],"analysis_type":["cost-benefit analysis","macroeconomic modeling","policy assessment"]},{"id":"iejza-000225","url":"https://climateinsightsdirectory.org/document/iejza-000225","title":"Modellering van fiskale roetes tot ‘n basiese inkomste","publisher":{"name":"Institute for Economic Justice","organization":"institute-for-economic-justice"},"document_type":"fact sheet","language":"af","date_published":"2023-11","source_url":"https://iej.org.za/wp-content/uploads/2024/02/IEJ-UBIG-8-factsheet-Afrikaans.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The fact sheet presents modeling by the Institute for Economic Justice and Applied Development Research Solutions showing that a basic income grant in South Africa is fiscally sustainable and would positively impact GDP growth, poverty, and unemployment. It outlines three ambition levels (low, medium, and high) for the grant's value and coverage, funded through a combination of wealth taxes, a social security tax, and VAT revenue generated by increased consumption. The document argues that the net cost of such a program is significantly lower than the gross cost due to the economic multiplier effect in poor communities.","ai_generated":true,"unit":"iejza-000225#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Modeling of three different pathways (low, medium, and high ambition) for a basic income grant (BIG) between 2023 and 2030 indicates that the policy is both sustainable and affordable.","ai_generated":true,"unit":"iejza-000225#insight-1","date_modified":"2026-10-23"},{"text":"The implementation of a BIG is projected to reduce the poverty rate by up to two-thirds over eight years and increase GDP growth from a 2.2% baseline to between 2.8% and 3.5% by 2030.","ai_generated":true,"unit":"iejza-000225#insight-2","date_modified":"2026-10-23"},{"text":"A basic income grant based on the 2022 food poverty line (FPL) of R624 per month for adults aged 18 to 59 would have a gross annual cost of R255 billion, though actual costs may be lower (R153 billion to R204 billion) if only 60% to 80% of eligible people apply.","ai_generated":true,"unit":"iejza-000225#insight-3","date_modified":"2026-10-23"},{"text":"The net cost of a UBIG could be as low as 50% of the gross cost due to the 'multiplier effect' where spending in poor communities stimulates economic activity and increases government revenue, specifically through VAT, which recovers approximately 12% of grant spending.","ai_generated":true,"unit":"iejza-000225#insight-4","date_modified":"2026-10-23"},{"text":"Proposed funding mechanisms include a social security tax (MSB) that could cover around 25% of the cost, a wealth tax on the richest 1% that could raise up to R143 billion annually, and a 25% VAT rate on luxury goods generating R9 billion per year.","ai_generated":true,"unit":"iejza-000225#insight-5","date_modified":"2026-10-23"},{"text":"Other potential revenue sources include a financial transactions tax (BFT) at 0.1% (R41 billion annually), a resource rent tax (BHH) (R38 billion annually), and reducing government subsidies on pension and medical funds (estimated at R133 billion).","ai_generated":true,"unit":"iejza-000225#insight-6","date_modified":"2026-10-23"}],"climate_tags":["fiscal policy","poverty reduction","economic growth"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["macroeconomic modeling","fiscal impact assessment"]},{"id":"sei-002841","url":"https://climateinsightsdirectory.org/document/sei-002841","title":"A water-resilient economy","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"policy brief","language":"en","date_published":"2023-03","source_url":"https://www.sei.org/wp-content/uploads/2023/04/water-resilient-economy-rwanda.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The analysis finds that Rwanda's economy is highly vulnerable to water supply fluctuations and a heavy reliance on run-of-river hydropower. While the 'Vision 2050' growth trajectory would increase water demand by 1140%, the 'Water Resilient Vision 2050' (WRes2050) scenario suggests that combining a reduction in hydropower dependence (from 40% to 20%) with diversified supply- and demand-side interventions can maintain GDP growth while reducing water-related losses. Key recommendations include tripling water storage from 100 to 300 MCM, improving irrigation efficiency, and establishing Payments for Ecosystem Services (PES).","ai_generated":true,"unit":"sei-002841#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Rwanda's economy is vulnerable to climate change and water supply fluctuations even under baseline conditions, with a specific risk stemming from its dependence on run-of-river hydropower.","ai_generated":true,"unit":"sei-002841#insight-1","date_modified":"2026-10-23"},{"text":"The water demand required to fully realize the 'Vision 2050' growth trajectory is projected to increase by 1140% from 2020 to 2050, compared to an 83% increase under baseline scenarios. The 'Water Resilient Vision 2050' (WRes2050) scenario, which incorporates efficiency and reduced hydropower dependence, still results in a 740% growth in demand but significantly reduces overall requirements.","ai_generated":true,"unit":"sei-002841#insight-2","date_modified":"2026-10-23"},{"text":"While increasing water storage is critical and can avoid GDP losses of up to 5%, storage alone is insufficient to prevent near-annual water shortfalls between June and October.","ai_generated":true,"unit":"sei-002841#insight-3","date_modified":"2026-10-23"},{"text":"Economic stability and GDP growth consistent with Vision 2050 can be maintained by reducing hydropower dependence from 40% to 20% and implementing a balance of supply- and demand-side interventions.","ai_generated":true,"unit":"sei-002841#insight-4","date_modified":"2026-10-23"}],"climate_tags":["climate change","water security","hydropower","water efficiency","groundwater recharge","wastewater treatment"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["hydro-economic analysis","climate change impact assessment","macroeconomic modeling"]},{"id":"cliinstca-000413","url":"https://climateinsightsdirectory.org/document/cliinstca-000413","title":"Evaluating the Macroeconomic Costs of Climate Change in Canada","publisher":{"name":"Canadian Climate Institute","organization":"canadian-climate-institute"},"document_type":"report","language":"en","date_published":"2022-03-19","source_url":"https://climateinstitute.ca/wp-content/uploads/2022/09/Evaluating-macroeconomic-costs-climate-change-canada.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details the technical approach for modeling the macroeconomic effects of climate change on Canada's GDP, employment, and welfare. Using the gTech model, researchers integrated 13 categories of climate impacts—ranging from agricultural productivity and forestry reductions to infrastructure damages and healthcare spending—across 14 climate scenarios (RCP4.5 and RCP8.5) and three asset growth scenarios. The methodology distinguishes between impacts modeled as productivity changes (e.g., labour and agriculture) and those modeled as direct capital expenditures (e.g., road and building repairs), with the latter scaled based on historical asset appreciation relative to GDP. The report identifies weather-related disasters as the largest determinant of overall macroeconomic impact and notes limitations regarding the deterministic nature of disaster modeling and the exclusion of migration and trade restrictions.","ai_generated":true,"unit":"cliinstca-000413#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The analysis utilized the gTech computable general equilibrium (CGE) model, which represents economic activity across all Canadian provinces, territories, and the United States, customized to run in 10-year increments from 2015 to 2095.","ai_generated":true,"unit":"cliinstca-000413#insight-1","date_modified":"2026-10-23"},{"text":"The modeling incorporated 14 different climate change scenarios based on two global emissions pathways (RCP4.5 and RCP8.5) and seven downscaled global climate models, resulting in 84 total simulated scenarios plus a reference case.","ai_generated":true,"unit":"cliinstca-000413#insight-2","date_modified":"2026-10-23"},{"text":"Weather-related disasters were identified as the primary driver of macroeconomic impacts, with estimated costs to 2015 infrastructure averaging $57 billion per year in the 2090s under the RCP8.5 scenario.","ai_generated":true,"unit":"cliinstca-000413#insight-3","date_modified":"2026-10-23"},{"text":"Climate impacts were categorized into two modeling approaches: productivity changes (where costs grow with the sector's size) and direct capital/operating expenditures (where costs are scaled by the growth of physical assets).","ai_generated":true,"unit":"cliinstca-000413#insight-4","date_modified":"2026-10-23"},{"text":"To account for the fact that residential buildings historically appreciate faster than the overall economy, the model adjusted climate damages to grow at approximately 1.2 times the rate of GDP.","ai_generated":true,"unit":"cliinstca-000413#insight-5","date_modified":"2026-10-23"},{"text":"The model accounts for potential economic benefits from climate change, such as increased agricultural productivity for certain crops and a potential increase in foreign tourism arrivals as high-latitude climates become more temperate.","ai_generated":true,"unit":"cliinstca-000413#insight-6","date_modified":"2026-10-23"},{"text":"The study focused on the direct economic impacts of premature deaths—specifically reduced labour force participation—and explicitly excluded non-monetary emotional costs to welfare.","ai_generated":true,"unit":"cliinstca-000413#insight-7","date_modified":"2026-10-23"},{"text":"A significant limitation of the current methodology is its deterministic approach to disasters, which uses expected annual costs rather than stochastic modeling to account for catastrophic extreme events.","ai_generated":true,"unit":"cliinstca-000413#insight-8","date_modified":"2026-10-23"},{"text":"The analysis did not consider the potential for interprovincial or international migration, which the authors suggest would likely mute national macroeconomic impacts while increasing regional effects.","ai_generated":true,"unit":"cliinstca-000413#insight-9","date_modified":"2026-10-23"}],"climate_tags":["agricultural productivity","forestry","tourism industry","coastal flood","electric energy consumption","climate finance"],"geography_discussed":["United States"],"frame_perspective":[],"analysis_type":["methodology report","macroeconomic modeling","sensitivity analysis"]},{"id":"climstra-000280","url":"https://climateinsightsdirectory.org/document/climstra-000280","title":"Research to assess impacts on developing countries of measures to address emissions in the international aviation and shipping sectors","publisher":{"name":"Climate Strategies","organization":"climate-strategies"},"document_type":"report","language":"en","date_published":"2013-02-06","source_url":"https://climatestrategies.org/wp-content/uploads/2016/01/final-report-june21-cover1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that while global economic impacts of market-based measures (MBMs) for international aviation and shipping are small, effects vary significantly by country. Small, remote island states dependent on air tourism, such as Samoa, face the highest GDP risks, while large economies like China and India experience minimal impacts. The study concludes that MBM revenues and increased demand for Clean Development Mechanism (CDM) offsets can be used to mitigate these undesired economic effects.","ai_generated":true,"unit":"climstra-000280#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The overall economic impacts of Market Based Measures (MBMs) for international shipping and aviation are small globally and for the case study countries, with average GDP reductions of less than 0.01% and less than 0.2% for most case study countries.","ai_generated":true,"unit":"climstra-000280#insight-1","date_modified":"2026-10-23"},{"text":"Aviation MBMs generally cause larger economic impacts than shipping schemes because aviation has a greater effect on tourism, while shipping is less carbon intensive and less responsive to price increases.","ai_generated":true,"unit":"climstra-000280#insight-2","date_modified":"2026-10-23"},{"text":"Small island developing states and countries with high dependency on trade and tourism are most vulnerable to negative economic impacts. Samoa is identified as the most affected case study country, with potential GDP losses up to 1%.","ai_generated":true,"unit":"climstra-000280#insight-3","date_modified":"2026-10-23"},{"text":"The primary driver of GDP reduction in small island states is the decline in international tourist expenditure caused by higher flight costs and reduced passenger numbers.","ai_generated":true,"unit":"climstra-000280#insight-4","date_modified":"2026-10-23"},{"text":"Developing countries that host Clean Development Mechanism (CDM) projects, such as China and India, can see negative MBM impacts reduced or converted into benefits due to increased demand for offsets.","ai_generated":true,"unit":"climstra-000280#insight-5","date_modified":"2026-10-23"},{"text":"Some countries with significant trade deficits, such as Togo and Kenya, may experience small positive GDP impacts because MBMs reduce the volume of imports more than exports, thereby improving the trade balance.","ai_generated":true,"unit":"climstra-000280#insight-6","date_modified":"2026-10-23"},{"text":"Undesired economic impacts can be mitigated through a combination of measures, including route exemptions, national collection of revenues, lump-sum rebates, and investments in port and airport efficiency.","ai_generated":true,"unit":"climstra-000280#insight-7","date_modified":"2026-10-23"},{"text":"Using MBM revenues for climate adaptation finance is particularly effective for the most impacted countries, as these are often the states most vulnerable to climate change.","ai_generated":true,"unit":"climstra-000280#insight-8","date_modified":"2026-10-23"},{"text":"The total revenues generated by the studied MBMs are significantly larger than the monetary GDP losses experienced by developing countries.","ai_generated":true,"unit":"climstra-000280#insight-9","date_modified":"2026-10-23"}],"climate_tags":["emission trading","carbon offset","clean development mechanism","climate finance","climate change adaptation","fuel efficiency","European Union Emission Trading Scheme 1","carbon price"],"geography_discussed":["European Union","Brazil"],"frame_perspective":[],"analysis_type":["economic impact assessment","policy analysis","macroeconomic modeling"]},{"id":"cliinstca-000440","url":"https://climateinsightsdirectory.org/document/cliinstca-000440","title":"LIMITER LES DÉGÂTS : réduire les coûts des répercussions climatiques au Canada","publisher":{"name":"Canadian Climate Institute","organization":"canadian-climate-institute"},"document_type":"executive summary","language":"fr","date_published":null,"source_url":"https://institutclimatique.ca/wp-content/uploads/2022/09/Macro-French-FINAL-ES-0927.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report quantifies the economic burden of climate change on Canada, predicting significant GDP losses, job reductions, and decreased household income by the end of the century. It highlights a 'broken window fallacy' where spending on repairs masks the opportunity cost of lost productive investment. The analysis finds that the North and Alberta are most vulnerable, and that combining proactive adaptation with global emission reductions could eliminate 75% of real GDP losses, with adaptation investments yielding a return of $13 to $15 for every dollar spent.","ai_generated":true,"unit":"cliinstca-000440#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change is projected to cause substantial annual GDP losses for Canada, starting at $25 billion in 2025 (representing 50% of that year's projected growth) and rising to between $391 billion and $865 billion by the end of the century, depending on emission scenarios.","ai_generated":true,"unit":"cliinstca-000440#insight-1","date_modified":"2026-10-23"},{"text":"Labor force losses due to heat-related productivity declines and premature deaths could increase from current levels to 500,000 by mid-century and reach 2.9 million by the end of the century.","ai_generated":true,"unit":"cliinstca-000440#insight-2","date_modified":"2026-10-23"},{"text":"Household incomes will decline across all scenarios, with the most vulnerable populations suffering the most; by the end of the century in a high-emissions scenario, the lowest-income group could see a 23% loss in income compared to a 19% loss for the median group.","ai_generated":true,"unit":"cliinstca-000440#insight-3","date_modified":"2026-10-23"},{"text":"The 'broken window fallacy' describes how spending on repairing climate-damaged assets creates a misleading economic stimulus in sectors like construction while diverting resources from productive investments that would generate long-term wealth.","ai_generated":true,"unit":"cliinstca-000440#insight-4","date_modified":"2026-10-23"},{"text":"Geographic vulnerability varies, with Northern Canada and Alberta facing the highest losses; the North is particularly affected by permafrost thaw damaging infrastructure, with potential GDP losses of $26,060 per person by the end of the century in high-emission scenarios.","ai_generated":true,"unit":"cliinstca-000440#insight-5","date_modified":"2026-10-23"},{"text":"Climate change creates a fiscal risk for governments, requiring tax increases to maintain services and fund disaster recovery; for example, a 2.7% tax increase for individuals and businesses may be needed by the end of the century under high-emission scenarios to cover annual costs of $55 billion.","ai_generated":true,"unit":"cliinstca-000440#insight-6","date_modified":"2026-10-23"},{"text":"Combining proactive adaptation and global emission reductions can reduce real GDP losses in Canada by 75%. Proactive adaptation specifically offers a high return on investment, yielding $13 to $15 for every dollar spent.","ai_generated":true,"unit":"cliinstca-000440#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","greenhouse gas emissions","infrastructure","public finance"],"geography_discussed":["Northern Canada","Alberta","Kelowna","British Columbia","Penticton","Nova Scotia"],"frame_perspective":[],"analysis_type":["macroeconomic modeling","cost-benefit analysis","scenario analysis"]},{"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"]},{"id":"ucs-000578","url":"https://climateinsightsdirectory.org/document/ucs-000578","title":"Economic Impacts of AB 32 Summary of Recent Analyses","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"briefing","language":"en","date_published":null,"source_url":"https://www.ucs.org/sites/default/files/attach/2018/02/economic-impacts-of-ab-32%255B1%255D.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document compiles several reports indicating that AB 32's economic impact on small businesses is manageable, green jobs are outperforming the general economy, and diversifying the energy portfolio could increase Gross State Product and employment. It contrasts these findings with a study by Varshney and Tootelian, which it characterizes as unsound and unreliable for ignoring cost savings. Additionally, it warns that inaction on climate change could risk trillions of dollars in California assets.","ai_generated":true,"unit":"ucs-000578#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The economic impact of AB 32 on California small businesses is expected to be small, with energy-related costs as a percentage of revenue projected to increase from 1.4 percent to 1.7 percent by 2020.","ai_generated":true,"unit":"ucs-000578#insight-1","date_modified":"2026-10-23"},{"text":"Between 1995 and 2008, California's green businesses grew by 45 percent in number and 36 percent in employment, significantly outpacing the overall state job expansion of 13 percent.","ai_generated":true,"unit":"ucs-000578#insight-2","date_modified":"2026-10-23"},{"text":"Specific green job sectors saw substantial growth from 1995 to 2008, including a 152 percent increase in Green Transportation and a 63 percent increase in both Energy Generation and Energy Efficiency employment.","ai_generated":true,"unit":"ucs-000578#insight-3","date_modified":"2026-10-23"},{"text":"Failure to diversify California's energy portfolio could lead to private electricity costs increasing by up to 33 percent and a loss of over $80 billion in Gross State Product and 500,000 jobs by 2020.","ai_generated":true,"unit":"ucs-000578#insight-4","date_modified":"2026-10-23"},{"text":"Implementing a target of 33 percent renewable energy and a 1 percent annual improvement in energy efficiency is projected to increase Gross State Product by $20 billion and create 112,000 jobs.","ai_generated":true,"unit":"ucs-000578#insight-5","date_modified":"2026-10-23"},{"text":"Macroeconomic modeling from the California Air Resources Board (CARB), University of California, and EPRI/CRA generally agrees that climate solutions are affordable and compatible with robust economic growth.","ai_generated":true,"unit":"ucs-000578#insight-6","date_modified":"2026-10-23"},{"text":"A study by Varshney and Tootelian predicting severe losses from AB 32 is criticized as unreliable because it counts only costs while ignoring savings from energy efficiency and conservation.","ai_generated":true,"unit":"ucs-000578#insight-7","date_modified":"2026-10-23"},{"text":"Inaction regarding climate change could expose $2.5 trillion of California's $4 trillion in real estate assets to risk from wildfires, sea level rise, and extreme weather.","ai_generated":true,"unit":"ucs-000578#insight-8","date_modified":"2026-10-23"}],"climate_tags":["green job","energy efficiency","renewable energy","climate finance","climate change adaptation","climate change mitigation","sea level rise","wildfire"],"geography_discussed":["Los Angeles","Sacramento Area","San Diego Region","San Francisco Bay Area","Orange County","Inland Empire"],"frame_perspective":[],"analysis_type":["economic impact assessment","macroeconomic modeling","case study","comparative analysis"]}]}