{"query_echo":{"q":"","filters":{"analysis_type":["model description"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'model description' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=model+description","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":"sei-002159","url":"https://climateinsightsdirectory.org/document/sei-002159","title":"AMES: A model for energy, economic and environmental assessment","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2023-09","source_url":"https://www.sei.org/wp-content/uploads/2023/09/ames-energy-economic-and-environmental-assessment-model.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The paper presents AMES, an open-source, multi-sector macroeconomic model developed by the Stockholm Environment Institute. AMES is designed to integrate with the Low Emissions Analysis Platform (LEAP) to create a hybrid energy-economy model. Unlike neoclassical models, AMES is based on structuralist theory, allowing it to simulate structural change and hysteresis, where energy investments can lead to persistent positive impacts on GDP and employment. It is specifically tailored for the economic conditions of low- and middle-income countries, focusing on demand-led growth and capacity utilization rather than assuming full employment and competitive market equilibrium.","ai_generated":true,"unit":"sei-002159#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"AMES is a structuralist, demand-led model that allows the economy to operate at less than full capacity, enabling it to simulate hysteresis where energy investment can have persistent positive effects on GDP and employment.","ai_generated":true,"unit":"sei-002159#insight-1","date_modified":"2026-10-23"},{"text":"The model is designed as a hybrid system when combined with LEAP and NEMO, merging top-down macroeconometric assessments with bottom-up energy-systems analysis.","ai_generated":true,"unit":"sei-002159#insight-2","date_modified":"2026-10-23"},{"text":"AMES differs from neoclassical models like TIMES-MACRO by using a multi-sector approach where production is based on capacity utilization and potential output, and prices are set as a markup on costs.","ai_generated":true,"unit":"sei-002159#insight-3","date_modified":"2026-10-23"},{"text":"The model incorporates the Kaldor-Verdoorn law, which posits that labour productivity growth is an increasing function of the investment rate, allowing for the simulation of endogenous structural change.","ai_generated":true,"unit":"sei-002159#insight-4","date_modified":"2026-10-23"},{"text":"To simplify the link between energy and non-energy sectors, AMES approximates that the energy sector's demand for non-energy goods is negligible, a valid assumption in most countries because energy value added is typically small.","ai_generated":true,"unit":"sei-002159#insight-5","date_modified":"2026-10-23"},{"text":"The model uses a linear goal programme (LGP) to ensure supply-demand equilibrium each year, prioritizing capacity utilization, domestic coverage of final demand, and export targets.","ai_generated":true,"unit":"sei-002159#insight-6","date_modified":"2026-10-23"},{"text":"In the sample 'Freedonia' model, the metric R was calculated at 2.52%, supporting the validity of neglecting non-energy demand from the energy sector.","ai_generated":true,"unit":"sei-002159#insight-7","date_modified":"2026-10-23"},{"text":"AMES provides flexibility for specific national needs, such as allowing potential output to be specified exogenously for sectors with high backward linkages, such as oil production.","ai_generated":true,"unit":"sei-002159#insight-8","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions"],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["model description","theoretical framework","comparative analysis"]},{"id":"sei-000176","url":"https://climateinsightsdirectory.org/document/sei-000176","title":"Supporting National Planning Action SLCPs using LEAP-IBC Tool","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2018-04-01","source_url":"https://www.sei.org/publications/supporting-national-planning-action-slcps-using-leap-ibc-tool/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This chapter describes the Long-range Energy Alternatives Planning system Integrated Benefits Calculator (LEAP-IBC), a model developed by the Stockholm Environment Institute to estimate the impacts of policy scenarios on pollutants, human health, and other endpoints, specifically highlighting its application in Bangladesh.","ai_generated":true,"unit":"sei-000176#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The LEAP-IBC tool enables countries to evaluate current national-scale emissions of short-lived climate pollutants (SLCPs), identify primary emitting sectors, and project future emissions based on sectoral activity changes. It further allows for the modeling of policy effects to reduce these emissions and the assessment of associated co-benefits, including avoided global temperature change, avoided mortality (health benefits), and avoided crop losses (agricultural benefits).","ai_generated":true,"unit":"sei-000176#insight-1","date_modified":"2026-08-17"},{"text":"LEAP-IBC can be customized to fit specific national contexts; in Bangladesh, the tool was used as part of a two-stage process to create SLCP action plans, which included the development of a specialized module to model emissions from rice parboiling units.","ai_generated":true,"unit":"sei-000176#insight-2","date_modified":"2026-08-17"},{"text":"The Asian Co-benefits Partnership (ACP) White Paper 2018 aims to increase the understanding among practitioners and policymakers regarding tools that quantify co-benefits, responding to a growing interest in Asia to link climate change with development priorities following the 2030 Agenda for Sustainable Development and the Paris Agreement.","ai_generated":true,"unit":"sei-000176#insight-3","date_modified":"2026-08-17"}],"climate_tags":["short-lived climate pollutants","co-benefits","emissions modeling","policy scenarios"],"geography_discussed":["Bangladesh","Asia"],"frame_perspective":[],"analysis_type":["model description","case study"]},{"id":"sei-002566","url":"https://climateinsightsdirectory.org/document/sei-002566","title":"The CIEL Backgrounder: Understanding the Climate Impact Equity Lens","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2011-11","source_url":"https://www.sei.org/mediamanager/documents/Publications/SEI-Paper-Stanton-TheCIELbackgrounder-2011.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Climate Impact Equity Lens (CIEL) is a tool that personalizes the economic consequences of climate change by comparing individual avoidable damages against the savings gained from not paying for emissions reductions. Unlike traditional climate-economic models that aggregate data by region and use temporal discounting, CIEL focuses on individual archetypes and reports results by decade through 2200. It utilizes data from the Stockholm Environment Institute's CRED model to show that while some individuals may be 'net gainers' in the short term, the vast majority will become 'net losers' as climate impacts intensify, particularly those with high vulnerability in terms of income, geography, and economic sector.","ai_generated":true,"unit":"sei-002566#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"CIEL identifies two types of individuals based on the failure to cut emissions: 'net gainers', for whom the savings from avoided emissions reduction costs exceed climate damages, and 'net losers', for whom climate damages are larger than any gains from the fossil fuel economy.","ai_generated":true,"unit":"sei-002566#insight-1","date_modified":"2026-10-23"},{"text":"The tool reveals a temporal shift in outcomes: while many are net gainers today, by approximately 2075, it becomes difficult to find characteristics that result in net gains. By 2150, even individuals with average regional income and no other specific vulnerabilities are projected to suffer net losses.","ai_generated":true,"unit":"sei-002566#insight-2","date_modified":"2026-10-23"},{"text":"Net losses are primarily driven by two factors: higher vulnerability to climate damages (linked to income source, proximity to sea level, or water scarcity) and the regional variation in the cost of reducing emissions, which is higher as a share of income for poorer individuals.","ai_generated":true,"unit":"sei-002566#insight-3","date_modified":"2026-10-23"},{"text":"CIEL differs from standard climate-economic models by avoiding regional aggregation and temporal discounting. It presents costs and damages for each decade separately until 2200 to avoid the 'moral judgment' inherent in discounting future generations' losses.","ai_generated":true,"unit":"sei-002566#insight-4","date_modified":"2026-10-23"},{"text":"The tool is based on the CRED model, which assumes a 'no aid' scenario to demonstrate the full impact on low-income countries if high-income countries fail to provide economic assistance for low-carbon development.","ai_generated":true,"unit":"sei-002566#insight-5","date_modified":"2026-10-23"},{"text":"In a 'do-nothing' future, CIEL projects that by 2100, temperatures will be nearly 4°C higher than pre-industrial times, with climate damages consuming about one-sixth of global economic output. By 2200, temperatures could top 7°C, with three-fourths of global output lost to damages.","ai_generated":true,"unit":"sei-002566#insight-6","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","climate finance","climate justice","sea level rise","water scarcity"],"geography_discussed":["Africa","United States","Developing Asia/Pacific","People's Republic of China","Eastern Europe","Europe","Latin American and Caribbean","Middle East"],"frame_perspective":[],"analysis_type":["model description","equity analysis","economic forecasting"]},{"id":"pari-000115","url":"https://climateinsightsdirectory.org/document/pari-000115","title":"Compact - My Municipality Local Government Collaboration Model","publisher":{"name":"Public Affairs Research Institute","organization":"public-affairs-research-institute"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://pari.org.za/wp-content/uploads/2025/09/COMPACT-Factsheet-6-v2.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The COMPACT Local Government Collaboration Model is a catalytic tool developed by the Public Affairs Research Institute (PARI) to foster collaboration among municipal administrations, councillors, and the local community. The model employs a five-step process—Purpose, Making Sense of the Challenge, Vision and Hope, Implementing and Adapting, and Reflection and Learning—to move beyond traditional problem-solving. The model was piloted in 2025 in the Blue Crane Route Local Municipality (focusing on the Pearston water crisis) and the Newcastle Local Municipality (focusing on tuckshop regulation and local economic development). A subsequent train-the-trainer workshop was held in August 2025 in Gauteng to refine facilitation materials and guide representatives from SALGA, PARI, and the pilot municipalities.","ai_generated":true,"unit":"pari-000115#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The COMPACT model defines collaboration as the pooling of skills, knowledge, and resources from different stakeholders to create innovative solutions for common challenges that cannot be solved individually.","ai_generated":true,"unit":"pari-000115#insight-1","date_modified":"2026-10-23"},{"text":"The collaboration process consists of five specific steps: identifying the purpose, developing a systemic understanding of the challenge, creating a shared vision and agenda, co-creating adaptive leadership and implementation principles, and reflecting on learning to update the agenda.","ai_generated":true,"unit":"pari-000115#insight-2","date_modified":"2026-10-23"},{"text":"The model was piloted in two South African municipalities in 2025: the Blue Crane Route Local Municipality in the Eastern Cape, which addressed the water crisis in Pearston (April 22-23), and the Newcastle Local Municipality in KZN, which addressed tuckshop regulation and local economic development in Madadeni (May 29-30).","ai_generated":true,"unit":"pari-000115#insight-3","date_modified":"2026-10-23"},{"text":"A train-the-trainer workshop took place from August 5-7, 2025, in Gauteng to refine the facilitation guide and materials, attended by representatives from SALGA, PARI, and the pilot municipalities.","ai_generated":true,"unit":"pari-000115#insight-4","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["KwaZulu-Natal","Eastern Cape","Pearston","Madadeni","Gauteng"],"frame_perspective":[],"analysis_type":["model description","pilot study report"]}]}