{"query_echo":{"q":"","filters":{"organization":["Stockholm Environment Institute"]},"warnings":[]},"total":{"value":2826,"relation":"eq"},"page":34,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?organization=stockholm-environment-institute&page=34","next":"https://climateinsightsdirectory.org/api/v1/search?organization=stockholm-environment-institute&page=35","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-002815","url":"https://climateinsightsdirectory.org/document/sei-002815","title":"Transitioning to a climate-neutral electricity generation","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2022-10-13","source_url":"https://www.sei.org/wp-content/uploads/2023/03/transitioning-to-a-climate-neutral-electricity-generation-in-estonia-summary-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study evaluates eight electricity generation pathways for Estonia, concluding that 'All technologies' and 'Renewable + Storage (offshore wind)' offer the best balance of benefits, costs, and feasibility. While all pathways can reach carbon neutrality by 2050, they require substantial investments averaging €8.0 billion. Key findings highlight the necessity of onshore wind, solar PV, and a massive build-out of battery storage (up to 9.3 GW by 2050) to manage intermittency. The report recommends streamlining planning processes, expanding the balancing market, and implementing risk-reduction instruments like contracts for difference to attract investment.","ai_generated":true,"unit":"sei-002815#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 'All technologies' and 'Renewable + Storage (offshore wind)' pathways are identified as the most promising due to their combination of benefits, costs, risks, and feasibility. The 'Renewable + Storage' option is the most ambitious, involving large-scale offshore wind and storage, which generates positive economic impacts despite having the highest investment costs.","ai_generated":true,"unit":"sei-002815#insight-1","date_modified":"2026-10-23"},{"text":"Onshore wind and demand side management (DSM) are expected to reach their full deployment potential by 2030, with capacities of 1,479 MW and 261 MW respectively. Solar PV is also projected for high deployment across all scenarios, ranging from 725 MW to 2,390 MW by 2030 and up to 6,573 MW by 2050.","ai_generated":true,"unit":"sei-002815#insight-2","date_modified":"2026-10-23"},{"text":"Battery storage is a critical and recurring challenge across all pathways to balance intermittent renewables. Estonia will need to deploy between 4,570 MW and 9,300 MW of batteries by 2050, requiring investments between €526 million and €1,034 million.","ai_generated":true,"unit":"sei-002815#insight-3","date_modified":"2026-10-23"},{"text":"Total required investments for technology deployment and transmission reinforcement average €8.0 billion up to 2050. Costs vary significantly by pathway, from €3.2 billion for the Carbon Capture and Utilisation (CCU) pathway to €11.4 billion for the Renewable + Storage scenario.","ai_generated":true,"unit":"sei-002815#insight-4","date_modified":"2026-10-23"},{"text":"The Nuclear pathway is considered the riskiest by stakeholders due to a lack of history in Estonia, potential for cost overruns, and delays, with technology not expected to be online before 2035. While it could offer the lowest electricity prices in 2050, these results are not robust and can be reversed if high load factors are enforced.","ai_generated":true,"unit":"sei-002815#insight-5","date_modified":"2026-10-23"},{"text":"The CCU pathway is not recommended as it is the worst for the economy and employment, and would leave Estonia most dependent on power imports, meeting less than 30% of demand by 2050.","ai_generated":true,"unit":"sei-002815#insight-6","date_modified":"2026-10-23"},{"text":"Four priority actions are identified as necessary across all scenarios: reviewing the planning process, providing renewables support, expanding the electricity system balancing market to encourage flexibility investments, and reinforcing the transmission network.","ai_generated":true,"unit":"sei-002815#insight-7","date_modified":"2026-10-23"},{"text":"To facilitate offshore wind by 2030, the report suggests three immediate actions: streamlining the planning process via a single application procedure, providing government-funded baseline studies (geological, geotechnical, etc.), and defining technology-specific price support mechanisms.","ai_generated":true,"unit":"sei-002815#insight-8","date_modified":"2026-10-23"}],"climate_tags":["Grid decarbonization","offshore wind power","photovoltaics","battery energy storage system","nuclear power","biogas","biomass","demand-side management","climate finance"],"geography_discussed":["Denmark","Finland","Germany","Latvia","Lithuania","Norway","Sweden","Poland","West Estonia","Northern Estonia","Kesk-Eesti","Kirde Eesti","South Estonia"],"frame_perspective":[],"analysis_type":["pathway modelling","socio-economic impact assessment","risk analysis","sensitivity analysis"]},{"id":"sei-001218","url":"https://climateinsightsdirectory.org/document/sei-001218","title":"The Agenda 2030 Compass","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/11/agenda-2030-compass-synthesis-report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Agenda 2030 Compass is a decision-support system consisting of a Context Mapper and a Strategy Analyser. It enables organisations to quantify how a planned action affects the 17 SDGs, accounting for context-specific synergies and trade-offs. The tool was developed through a collaboration between the Stockholm Environment Institute, Jernkontoret, and the MIT Center for Collective Intelligence, and has been pilot-tested in Swedish case studies involving e-scooters, housing, urban mobility, and regional innovation.","ai_generated":true,"unit":"sei-001218#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Agenda 2030 Compass consists of two primary components: the Context Mapper, which identifies potential positive or negative SDG interactions based on socio-economic and environmental factors, and the Strategy Analyser, a workshop-based process for evaluating the sustainability implications of specific interventions.","ai_generated":true,"unit":"sei-001218#insight-1","date_modified":"2026-10-23"},{"text":"The tool uses a matrix-based approach to calculate indirect effects, where a vector of direct SDG impacts is applied to a context-specific interaction matrix to identify 'acupuncture points'—areas of high potential for synergies or trade-offs.","ai_generated":true,"unit":"sei-001218#insight-2","date_modified":"2026-10-23"},{"text":"The Context Mapper utilizes a 'triangulation' method to build interaction maps, combining empirical analysis of historical global data, expert panel assessments, and crowdsourced intelligence from a global network of nearly 200 experts via the 2030 Compass CoLab.","ai_generated":true,"unit":"sei-001218#insight-3","date_modified":"2026-10-23"},{"text":"The project demonstrated that while global data can provide an initial indicative map, country-level expertise is still required to refine the analysis; however, such maps can be developed in as little as two or three days.","ai_generated":true,"unit":"sei-001218#insight-4","date_modified":"2026-10-23"},{"text":"Four pilot case studies in Sweden validated the tool's application across different sectors: Stilride (e-scooter production), Ascend (smart energy housing for Örebrobostäder), Kalmar municipal administration (mobility strategy), and Ramboll/Skåne Regional Council (regional innovation strategy).","ai_generated":true,"unit":"sei-001218#insight-5","date_modified":"2026-10-23"},{"text":"A critical limitation of the Context Mapper is that it relies on historical empirical data, meaning interaction scores may not reflect evolving conditions or anticipated changes 5–10 years in the future.","ai_generated":true,"unit":"sei-001218#insight-6","date_modified":"2026-10-23"},{"text":"The research concludes that the 2030 Compass is intended as a process for structured collective reflection rather than a quantitative modelling tool, as the complexity of SDGs makes aggregate scoring and dynamic future modelling nearly impossible.","ai_generated":true,"unit":"sei-001218#insight-7","date_modified":"2026-10-23"}],"climate_tags":["Sustainable Development Goals","climate change mitigation","urban transport"],"geography_discussed":["Poland","India","World"],"frame_perspective":[],"analysis_type":["methodology development","case study","tool evaluation"]},{"id":"sei-001413","url":"https://climateinsightsdirectory.org/document/sei-001413","title":"Analysis of the plastic waste value chain in India","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/10/india-plastic-waste-value-chain-sei2022.037.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes India's plastic waste value chain, highlighting the critical role of the informal sector in achieving high recycling rates despite a relatively new and inconsistently enforced regulatory landscape. It identifies significant barriers to policy implementation, such as a lack of source segregation and the absence of affordable alternatives to single-use plastics. The document also showcases innovative repurposing techniques, including the use of plastic in road construction and fuel production, and provides sector-specific recommendations to improve the circularity and efficiency of the plastic waste system.","ai_generated":true,"unit":"sei-001413#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India's plastic regulation is relatively recent and limited in scope, with the first national plastic waste policy implemented in 2011.","ai_generated":true,"unit":"sei-001413#insight-1","date_modified":"2026-10-23"},{"text":"The informal sector is a primary driver of India's high recycling rates, contributing 70% of PET bottle recycling, but its presence complicates the implementation of formal national and regional waste management processes.","ai_generated":true,"unit":"sei-001413#insight-2","date_modified":"2026-10-23"},{"text":"A significant volume of unrecyclable plastic waste is disposed of in open landfills or the ocean, which remains a major challenge.","ai_generated":true,"unit":"sei-001413#insight-3","date_modified":"2026-10-23"},{"text":"India has successfully integrated plastic waste into infrastructure, with approximately 703 km of national highways constructed using a mixture of 6-8% plastic waste and bitumen as of 2021.","ai_generated":true,"unit":"sei-001413#insight-4","date_modified":"2026-10-23"},{"text":"Innovative repurposing techniques in India include the creation of 'plastone' construction blocks in Tamil Nadu and the conversion of plastic waste into automotive-grade gasoline and diesel by institutions like the Indian Institute of Petroleum.","ai_generated":true,"unit":"sei-001413#insight-5","date_modified":"2026-10-23"},{"text":"Policy implementation is hindered by several barriers, including the high cost of alternative packaging, a lack of source segregation, and the absence of comprehensive data inventories for financing and waste processing.","ai_generated":true,"unit":"sei-001413#insight-6","date_modified":"2026-10-23"},{"text":"Tourist destinations, such as Mamallapuram, face an unequal waste management burden because government funding is often based on resident household numbers rather than the actual volume of waste generated by high visitor turnarounds.","ai_generated":true,"unit":"sei-001413#insight-7","date_modified":"2026-10-23"},{"text":"The 2021 amendment to the Plastic Waste Management Rules increased the minimum thickness of plastic carry bags to 75 microns (effective September 2021) and 120 microns (effective December 2022).","ai_generated":true,"unit":"sei-001413#insight-8","date_modified":"2026-10-23"}],"climate_tags":["circular economy","waste-to-energy"],"geography_discussed":["Tamil Nadu","Mahabalipuram"],"frame_perspective":[],"analysis_type":["scoping study","value chain analysis","policy review","case study"]},{"id":"sei-002151","url":"https://climateinsightsdirectory.org/document/sei-002151","title":"The 7th ASEAN Energy Outlook 2020 - 2050","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2022-10","source_url":"https://leap.sei.org/documents/AEO7.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 7th ASEAN Energy Outlook (AEO7) analyzes energy demand, supply, and electricity generation across the ASEAN region through four scenarios: Baseline, AMS Targets (ATS), APAEC Targets (APS), and Least-Cost Optimisation (LCO). It finds that without policy intervention, energy demand will triple by 2050 and fossil fuels will continue to dominate. However, implementing national and regional policies can significantly reduce total final energy consumption and greenhouse gas emissions. The report emphasizes the need for increased energy efficiency, higher renewable energy penetration, and regional grid interconnection to ensure energy security and sustainability.","ai_generated":true,"unit":"sei-002151#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Under the Baseline Scenario, regional energy demand is projected to triple by 2050 compared to 2020 levels, with Total Final Energy Consumption (TFEC) reaching 1,281.7 Mtoe.","ai_generated":true,"unit":"sei-002151#insight-1","date_modified":"2026-10-23"},{"text":"Fossil fuels are expected to remain the dominant energy source in the Baseline Scenario, with oil accounting for 47.4% of TFEC, electricity for 20.3%, coal for 14.5%, and bioenergy for 9.2% by 2050.","ai_generated":true,"unit":"sei-002151#insight-2","date_modified":"2026-10-23"},{"text":"The region is projected to become a net importer of natural gas by 2025 and coal by 2039 if no significant new discoveries or infrastructure additions occur.","ai_generated":true,"unit":"sei-002151#insight-3","date_modified":"2026-10-23"},{"text":"Implementing regional policies in the APAEC Target Scenario (APS) could reduce TFEC by 53.7% by 2050 compared to the Baseline Scenario.","ai_generated":true,"unit":"sei-002151#insight-4","date_modified":"2026-10-23"},{"text":"ASEAN is projected to miss its regional target of 23% renewable energy (RE) in Total Primary Energy Supply (TPES) by 2025, with the AMS Target Scenario (ATS) predicting only 17.5%, leaving a 5.5% gap.","ai_generated":true,"unit":"sei-002151#insight-5","date_modified":"2026-10-23"},{"text":"The Least-Cost Optimisation (LCO) Scenario suggests a power system that costs USD 174.7 billion less than the APS over the 2021-2050 period, though it results in a 5.3% lower share of RE in TPES by 2050.","ai_generated":true,"unit":"sei-002151#insight-6","date_modified":"2026-10-23"},{"text":"Energy intensity reduction is projected to reach 29.2% by 2025 under ATS, which falls short of the 32% regional target set by APAEC.","ai_generated":true,"unit":"sei-002151#insight-7","date_modified":"2026-10-23"},{"text":"The APS scenario is projected to create up to 5.5 million new jobs by 2050, with 67% of these in hydropower and 10% in geothermal construction, operation, and maintenance.","ai_generated":true,"unit":"sei-002151#insight-8","date_modified":"2026-10-23"},{"text":"Biofuel production in the APS scenario would require approximately 5.6 million hectares of land for oil palm and 3.2 million hectares for sugar cane.","ai_generated":true,"unit":"sei-002151#insight-9","date_modified":"2026-10-23"},{"text":"The LCO Scenario identifies several cost-effective interconnection projects to be operational by 2025, including lines between Thailand and Peninsular Malaysia, Peninsular Malaysia and Sumatra, Sarawak and Brunei Darussalam, Lao PDR and Vietnam, Thailand and Myanmar, and Thailand and Cambodia.","ai_generated":true,"unit":"sei-002151#insight-10","date_modified":"2026-10-23"},{"text":"Universal electrification in ASEAN is projected to be achieved by 2040 under the ATS and APS scenarios, with Cambodia being the final country to reach this target.","ai_generated":true,"unit":"sei-002151#insight-11","date_modified":"2026-10-23"},{"text":"Clean cooking access is projected to reach only 90.28% by 2050 under the APS scenario, failing to meet the SDG7 target of 100% by 2030.","ai_generated":true,"unit":"sei-002151#insight-12","date_modified":"2026-10-23"},{"text":"The social cost of energy in 2050 is projected to be USD 5,457 billion in the Baseline Scenario, but could be reduced to USD 2,358 billion under the APS scenario.","ai_generated":true,"unit":"sei-002151#insight-13","date_modified":"2026-10-23"},{"text":"The LCO Scenario introduces nuclear energy into the region's power mix, with 5.2 GW deployed by 2050.","ai_generated":true,"unit":"sei-002151#insight-14","date_modified":"2026-10-23"}],"climate_tags":["energy efficiency","renewable energy","greenhouse gas emissions","energy security","energy transition","electric vehicle","biofuel","hydropower","geothermal energy","solar energy","wind power","nuclear power","carbon capture and storage","clean cooking","electrification","climate finance","energy storage"],"geography_discussed":["Brunei","Cambodia","Indonesia","Laos","Malaysia","Myanmar","Philippines","Singapore","Thailand","Vietnam"],"frame_perspective":[],"analysis_type":["scenario analysis","bottom-up modeling","least-cost optimisation","decomposition analysis"]},{"id":"sei-002156","url":"https://climateinsightsdirectory.org/document/sei-002156","title":"Agenda 2030 Compass: Insights built on the SDGs","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/11/agenda-2030-compass-brief-221117.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Agenda 2030 Compass is a tool developed by the Stockholm Environment Institute, Jernkontoret, the MIT Center for Collective Intelligence, and Swedwise to help decision-makers evaluate how investments, policies, or products affect the SDGs. It consists of a Context Mapper, which identifies potential SDG interactions based on local factors like socio-economic conditions and energy mix, and a Strategy Analyser, a workshop-based process used to score direct impacts and identify indirect synergies and trade-offs. The tool was pilot-tested in four Swedish case studies involving electric scooters, smart energy housing, urban mobility, and regional innovation strategies.","ai_generated":true,"unit":"sei-002156#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Agenda 2030 Compass consists of two primary components: the Context Mapper, which identifies potential positive or negative SDG interactions based on factors such as the physical environment, energy mix, and socio-economic conditions, and the Strategy Analyser, which uses a workshop-based process to evaluate the sustainability implications of a specific intervention.","ai_generated":true,"unit":"sei-002156#insight-1","date_modified":"2026-10-23"},{"text":"The tool's methodology accounts for the fact that SDG interactions are context-dependent; for example, irrigation to boost crop productivity may conflict with hydropower development in water-stressed regions, but such conflicts would not occur in areas with plentiful water.","ai_generated":true,"unit":"sei-002156#insight-2","date_modified":"2026-10-23"},{"text":"The Strategy Analyser employs a structured four-block process: Block A defines the strategy and context; Block B involves participants scoring SDG impacts from +3 (strongly promoting) to -3 (strongly restricting); Block C uses a \"think-write-share\" technique to refine direct effects; and Block D uses an \"Acupuncture view\" to identify and analyze indirect synergies and trade-offs.","ai_generated":true,"unit":"sei-002156#insight-3","date_modified":"2026-10-23"},{"text":"The methodology was successfully pilot-tested in four Swedish case studies: Stilride (lightweight steel electric scooters), Örebrobostäder (smart energy housing), Kalmar municipal administration (mobility strategy to shift from 60% private car use to 60% walking, cycling, and public transport), and a regional innovation strategy for Skåne developed by Ramboll and the Skåne Regional Council.","ai_generated":true,"unit":"sei-002156#insight-4","date_modified":"2026-10-23"},{"text":"The Context Mapper has already produced a detailed map for Sweden and basic maps for India and Poland, with the capability to generate new maps using country-level experts in two to three days or via a crowdsourcing platform called the 2030 Compass CoLab.","ai_generated":true,"unit":"sei-002156#insight-5","date_modified":"2026-10-23"}],"climate_tags":["Sustainable Development Goals","urban transport","public transport"],"geography_discussed":["Sweden","Poland","India","Skåne County","Kalmar","Örebro"],"frame_perspective":[],"analysis_type":["methodology overview","case study"]},{"id":"sei-002164","url":"https://climateinsightsdirectory.org/document/sei-002164","title":"Air pollution and the world of work","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/10/asia-air-pollution-work-sei2022.040.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the intersection of air pollution and labor markets in East and Southeast Asia, highlighting a significant gap in research and policy regarding informal workers. It finds that while formal sectors are regulated, informal workers—including street vendors and agricultural laborers—face high exposure with minimal social protection. Health burdens are highest in China and Mongolia for ambient pollution, and in Cambodia, Lao PDR, and Myanmar for household pollution. The report argues that current solutions are overly technocentric and fail to address the social inequalities and structural vulnerabilities that determine exposure levels.","ai_generated":true,"unit":"sei-002164#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2019, occupational exposure to particulate matter (PM), gases, and fumes caused over 200,000 premature deaths in East and Southeast Asia, with the majority occurring in China.","ai_generated":true,"unit":"sei-002164#insight-1","date_modified":"2026-10-23"},{"text":"Mongolia experienced the highest annual average air pollution in both 2019 and 2020, while China had the highest average PM2.5 population-weighted exposure in 2019.","ai_generated":true,"unit":"sei-002164#insight-2","date_modified":"2026-10-23"},{"text":"The health burden from household air pollution is most severe in low-income countries, specifically Cambodia, Lao PDR, and Myanmar.","ai_generated":true,"unit":"sei-002164#insight-3","date_modified":"2026-10-23"},{"text":"Research on air pollution and employment is heavily biased toward the formal labor force, leaving the informal sector—particularly in urban settings—largely underexamined.","ai_generated":true,"unit":"sei-002164#insight-4","date_modified":"2026-10-23"},{"text":"Gendered research on air pollution often relies on stereotypes, focusing on women's roles as domestic caregivers and the impacts of cookstoves, while overlooking men's exposure in traffic-facing or industrial roles.","ai_generated":true,"unit":"sei-002164#insight-5","date_modified":"2026-10-23"},{"text":"Workplace hierarchies based on gender, social class, and seniority result in unequal exposure, as higher-status workers often shift the most polluted tasks to those at the bottom of the hierarchy.","ai_generated":true,"unit":"sei-002164#insight-6","date_modified":"2026-10-23"},{"text":"Occupational air pollution causes a range of severe health issues, including carcinogenic risks from volatile organic compounds (VOCs) and toxic metal fumes, and lung function decline in sectors such as printing and transport.","ai_generated":true,"unit":"sei-002164#insight-7","date_modified":"2026-10-23"},{"text":"No country in the reviewed region has set annual mean PM2.5 standards that meet the 2021 WHO guideline of 5 μg/m³, although Singapore is the closest at 12 μg/m³.","ai_generated":true,"unit":"sei-002164#insight-8","date_modified":"2026-10-23"},{"text":"Labor and social security policies generally target waged and industrial workers, effectively excluding informal, self-employed, and domestic workers from health and safety protections.","ai_generated":true,"unit":"sei-002164#insight-9","date_modified":"2026-10-23"},{"text":"Urban public space policies treat informal workers, such as street vendors, as obstacles to traffic flow to be relocated rather than as a vulnerable group exposed to air pollution.","ai_generated":true,"unit":"sei-002164#insight-10","date_modified":"2026-10-23"},{"text":"Non-governmental initiatives to combat air pollution are predominantly technocentric, focusing on emissions monitoring and technology deployment while ignoring structural vulnerabilities and workers' access to healthcare.","ai_generated":true,"unit":"sei-002164#insight-11","date_modified":"2026-10-23"}],"climate_tags":["air pollution","particulates","gender equality","social protection","just transition","low-carbon economy","household air pollution","urban transport","green job"],"geography_discussed":["People's Republic of China","Mongolia","Cambodia","Laos","Indonesia","Thailand","Vietnam","Singapore","South Korea","Malaysia","Philippines","Taiwan","Brunei","Hong Kong","Macau","Timor-Leste"],"frame_perspective":[],"analysis_type":["scoping review","evidence synthesis","policy review","data analysis"]},{"id":"sei-002329","url":"https://climateinsightsdirectory.org/document/sei-002329","title":"UNCHAIN – Unpacking climate impact chains","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/10/impact-chain-model-sei2022.041.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The UNCHAIN project utilizes an impact chain method to improve climate change risk assessments and adaptation actions. In a case study in Halmstad, Sweden, researchers adapted this model to explore how multiple hydrometeorological hazards interact with pre-existing vulnerabilities to create cascading disruptions across critical infrastructures and vital societal functions, potentially generating new vulnerable social groups. The process emphasized the co-production of knowledge, integrating stakeholder expertise from sectors such as water services, urban planning, and risk management through a participatory, iterative approach based on five selected modules of the impact chain framework.","ai_generated":true,"unit":"sei-002329#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The UNCHAIN approach employs an impact chain method based on the concepts of hazard, exposure, and vulnerability, structured around eight modules to provide guidance for implementing risk assessments.","ai_generated":true,"unit":"sei-002329#insight-1","date_modified":"2026-10-23"},{"text":"In Halmstad, Sweden, the research focused on how multiple hydrometeorological hazards—such as sea level rise, storm surges, and flooding—can occur simultaneously or 'cascadingly', causing disruptions to critical infrastructures and vital societal functions.","ai_generated":true,"unit":"sei-002329#insight-2","date_modified":"2026-10-23"},{"text":"The project adapted the standard impact chain model to better capture multidimensional and situational factors, proposing a flow where a climate signal triggers multiple hazards that interact with pre-existing vulnerabilities to create cascading effects and 'emerging social vulnerability'.","ai_generated":true,"unit":"sei-002329#insight-3","date_modified":"2026-10-23"},{"text":"The Halmstad case study utilized a co-production of knowledge approach, combining the impact chain model with the Tandem framework to foster iterative collaboration between researchers and municipality stakeholders across disciplines.","ai_generated":true,"unit":"sei-002329#insight-4","date_modified":"2026-10-23"},{"text":"Due to a lack of historical data on hazardous events in Sweden, the project used a scenario-based approach where stakeholders co-designed scenarios based on local knowledge and the Halmstad Municipality adaptation plan.","ai_generated":true,"unit":"sei-002329#insight-5","date_modified":"2026-10-23"},{"text":"The research process in Halmstad implemented five of the eight impact chain modules, resulting in outputs such as a social vulnerability index and spatial vulnerability maps based on open data from Statistics Sweden and Delmos.","ai_generated":true,"unit":"sei-002329#insight-6","date_modified":"2026-10-23"}],"climate_tags":["Climate risk assessment","climate change adaptation","sea level rise","storm surge","flood"],"geography_discussed":["Europe"],"frame_perspective":[],"analysis_type":["case study","methodological innovation"]},{"id":"sei-002398","url":"https://climateinsightsdirectory.org/document/sei-002398","title":"Addressing scale in nature-based solutions","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/10/nbs-scale-sei2022.043.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that nature-based solutions (NbS) often fail to achieve their potential because planning ignores the complexities of scale. It highlights that NbS have longer time-lags than grey infrastructure, spatial dependencies that transcend individual sites, and jurisdictional barriers that complicate governance. The authors recommend a shift toward quantitative targets, 'no regrets' strategies, and cross-jurisdictional coordination to avoid large-scale maladaptation.","ai_generated":true,"unit":"sei-002398#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Nature-based solutions (NbS) often exhibit significant time-lags in delivering benefits compared to grey infrastructure, which typically provides immediate results. For instance, China's 'Grain for Green' program took approximately 10 years to realize full impacts.","ai_generated":true,"unit":"sei-002398#insight-1","date_modified":"2026-10-23"},{"text":"The effectiveness of NbS is heavily dependent on spatial scale; interventions that work in small catchments, such as reforestation or buffer strips, may lose effectiveness when upscaled to larger areas due to offset effects like river bed storage capacity.","ai_generated":true,"unit":"sei-002398#insight-2","date_modified":"2026-10-23"},{"text":"NbS governance is complicated by jurisdictional mismatches, as ecological processes often cross political boundaries, requiring coordination between diverse landowners and authorities who may lack the legal legitimacy or capacity to engage.","ai_generated":true,"unit":"sei-002398#insight-3","date_modified":"2026-10-23"},{"text":"There is a risk of spatial inequity in NbS, where the costs of implementation are borne by one community while the benefits accrue to another. An example is noted in the US, where downstream wetlands provided flood-reduction benefits to upstream areas after Hurricane Sandy in 2012.","ai_generated":true,"unit":"sei-002398#insight-4","date_modified":"2026-10-23"},{"text":"Current monitoring of NbS is often fragmented and spatially limited, failing to track projects throughout their entire lifespan or account for the mismatch between the scale of hydrological changes and the scale of observations.","ai_generated":true,"unit":"sei-002398#insight-5","date_modified":"2026-10-23"},{"text":"To avoid large-scale maladaptation, the document recommends that NbS designs implement 'no regrets' options to maximize positive outcomes regardless of climate change, and establish quantitative targets with systematic monitoring.","ai_generated":true,"unit":"sei-002398#insight-6","date_modified":"2026-10-23"}],"climate_tags":["nature-based solutions","climate change adaptation","biodiversity","ecosystem service","maladaptation","climate finance","water management","coastal management"],"geography_discussed":["People's Republic of China","United States","European Union"],"frame_perspective":[],"analysis_type":["policy analysis","literature review"]},{"id":"sei-002401","url":"https://climateinsightsdirectory.org/document/sei-002401","title":"New risk horizons: Sweden’s exposure to climate risk via international trade","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/09/new-risk-horizons-sei2022.033.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report assesses Sweden's vulnerability to climate risks originating in other countries through its open economy and global trade links. Using three types of trade data—national toll logs, input-output tables, and resource footprints—the study finds that while direct trade partners (e.g., Germany and Nordic countries) are relatively resilient, deeper supply chain tiers reveal significant dependencies on climate-vulnerable emerging economies in Asia and Africa. A detailed case study on Brazilian soy demonstrates that while production risks in key sourcing areas like Mato Grosso are currently low, transport risks—specifically landslides and flash floods on long roads to ports—pose a higher threat. The authors argue that traditional risk management strategies like substitution are limited by the systemic nature of climate change and the 'stickiness' of trade relationships, recommending that Sweden integrate transboundary risk into its National Adaptation Strategy and lead global multilateral efforts for systemic resilience.","ai_generated":true,"unit":"sei-002401#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Traditional national toll statistics provide a reassuring but incomplete picture of climate risk, as they primarily highlight trade with geographically close and low-vulnerability partners like Germany and other Nordic countries.","ai_generated":true,"unit":"sei-002401#insight-1","date_modified":"2026-10-23"},{"text":"More nuanced trade data, specifically resource footprints, reveal hidden dependencies on highly climate-vulnerable countries in Asia and Africa that are critical to Swedish supply chains but often invisible in first-tier trade statistics.","ai_generated":true,"unit":"sei-002401#insight-2","date_modified":"2026-10-23"},{"text":"When climate vulnerability is weighted against trade importance, countries such as Brazil, China, India, Indonesia, Nigeria, and Viet Nam emerge as significant risk hotspots for Swedish trade.","ai_generated":true,"unit":"sei-002401#insight-3","date_modified":"2026-10-23"},{"text":"In the Brazilian soy supply chain, the state of Mato Grosso is the most important source for Swedish consumption, accounting for 48% of embedded soy in 2011.","ai_generated":true,"unit":"sei-002401#insight-4","date_modified":"2026-10-23"},{"text":"For Brazilian soy, transport risks—specifically landslides and flash floods on roads from farms to ports—are projected to be higher than production risks.","ai_generated":true,"unit":"sei-002401#insight-5","date_modified":"2026-10-23"},{"text":"The study identifies 'stickiness' in trade relationships, where long-standing contracts and infrastructure dependencies make the substitution of high-risk suppliers difficult and costly.","ai_generated":true,"unit":"sei-002401#insight-6","date_modified":"2026-10-23"},{"text":"Sweden's position high in the global value chain creates a cumulative systemic risk, where climate risks from material inputs and processing stages concentrate as products move toward final consumption.","ai_generated":true,"unit":"sei-002401#insight-7","date_modified":"2026-10-23"},{"text":"The authors recommend that Sweden's revised National Adaptation Strategy include a dedicated chapter on transboundary climate risk, assign ownership to relevant ministries, and establish a cross-government working group.","ai_generated":true,"unit":"sei-002401#insight-8","date_modified":"2026-10-23"}],"climate_tags":["international trade","climate change vulnerability","food security","climate finance"],"geography_discussed":["Brazil","Germany","People's Republic of China","India","Mato Grosso"],"frame_perspective":[],"analysis_type":["risk assessment","case study","methodological development"]},{"id":"sei-002516","url":"https://climateinsightsdirectory.org/document/sei-002516","title":"Aligning financial flows under the Paris Agreement","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"policy brief","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/10/sei-brief-sweden-banks-paris-marbuah-241022.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document finds that Sweden's five largest banks have limited alignment with the Paris Agreement, having facilitated approximately USD 150 billion to high-emitting 'brown' sectors since 2016. While 'green' investments have increased, they remain significantly lower than 'brown' and 'grey' flows. The authors argue that a lack of granular data and standardized definitions hinders transparency, recommending the adoption of International Sustainability Standards Board (ISSB) standards and EU-level regulations to better track the transition to a low-emission economy.","ai_generated":true,"unit":"sei-002516#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The five largest banks in Sweden—Svenska Handelsbanken, Skandinaviska Enskilda Banken (SEB), Swedbank, Danske Bank, and Nordea—demonstrate limited alignment with the Paris Agreement, showing a gradual increase in financing for high-emitting sectors like oil and gas exploration and production between 2010 and 2020.","ai_generated":true,"unit":"sei-002516#insight-1","date_modified":"2026-10-23"},{"text":"Since the Paris Agreement took effect in 2016, the sampled banks provided approximately USD 150 billion to high-emitting sectors, primarily through syndicated loans (USD 104.4 billion) and bond issuance underwritings (USD 36.3 billion).","ai_generated":true,"unit":"sei-002516#insight-2","date_modified":"2026-10-23"},{"text":"Financial flows are categorized into 'brown' (high-emitting), 'green' (low-emitting), and 'grey' (remainder). Brown flows account for roughly 20% and green flows about 10% of the total, while grey sectors—including banks, real estate, and corporate finance services—make up 67% or over two-thirds of the flows.","ai_generated":true,"unit":"sei-002516#insight-3","date_modified":"2026-10-23"},{"text":"Green investments in loans and bonds have increased in magnitude, but their overall proceeds remain significantly lower than those of brown and grey sectoral flows. 'Transition' financing, intended to replace fossil-based technology, represents less than 0.5% of the total and has little impact on the overall distribution.","ai_generated":true,"unit":"sei-002516#insight-4","date_modified":"2026-10-23"},{"text":"Analysis is constrained by a lack of granular data regarding the final destinations of capital and the absence of clear, standardized sector categorizations. The authors suggest that Swedish banks would benefit from International Sustainability Standards Board (ISSB) standards and EU-level regulations like the EU taxonomy.","ai_generated":true,"unit":"sei-002516#insight-5","date_modified":"2026-10-23"}],"climate_tags":["Paris Agreement","climate finance","climate bond","fossil-fuel divestment","transition finance"],"geography_discussed":["Western Europe"],"frame_perspective":[],"analysis_type":["policy brief","financial analysis"]},{"id":"sei-002628","url":"https://climateinsightsdirectory.org/document/sei-002628","title":"Financial flows of five leading banks in Sweden since the Paris Agreement","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/10/sei-report-sweden-banks-paris-marbuah-241022.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study finds limited alignment with the Paris Agreement, as financing to high-emitting 'brown' sectors generally increased in volume since 2016, while 'green' investments remained marginal in absolute terms.","ai_generated":true,"unit":"sei-002628#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The five sampled banks—Svenska Handelsbanken, Skandinaviska Enskilda Banken (SEB), Swedbank, Danske Bank, and Nordea—demonstrated limited alignment with the Paris Agreement's climate goals, with financing to high-emitting sectors gradually increasing in volume.","ai_generated":true,"unit":"sei-002628#insight-1","date_modified":"2026-10-23"},{"text":"Since the Paris Agreement took effect in 2016, the studied banks facilitated approximately USD 150 billion to high-emitting sectors, primarily through syndicated loans (USD 104.4 billion) and bond issuance underwritings (USD 36.3 billion).","ai_generated":true,"unit":"sei-002628#insight-2","date_modified":"2026-10-23"},{"text":"While the percentage of new deals dedicated to 'green' sectors increased since 2015, the absolute value of these investments remains marginal, reaching USD 1.31 billion in 2020.","ai_generated":true,"unit":"sei-002628#insight-3","date_modified":"2026-10-23"},{"text":"The largest expansion of financial flows occurred in 'grey' sectors, which include banks, real estate, and corporate finance services.","ai_generated":true,"unit":"sei-002628#insight-4","date_modified":"2026-10-23"},{"text":"Analysis of balance sheets from 2015 to 2020 showed that the fraction of loans provided to brown sectors ranged between 12% and 22% and exhibited moderately increasing trends for most commercial banks.","ai_generated":true,"unit":"sei-002628#insight-5","date_modified":"2026-10-23"},{"text":"Between 2016 and 2020, the distribution of total capital investments (USD 657 billion) was dominated by 'grey' sectors (67.25%), followed by 'brown' flows (21.87%), 'green' flows (10.34%), and 'transition' investments (0.54%).","ai_generated":true,"unit":"sei-002628#insight-6","date_modified":"2026-10-23"},{"text":"Bond issuance and corporate lending to green sectors declined by 2020 when compared to 2010, though this was partially offset by equity issuance underwritings.","ai_generated":true,"unit":"sei-002628#insight-7","date_modified":"2026-10-23"},{"text":"The study identifies a lack of transparency and standardization in defining 'brown' and 'green' investments, suggesting that established definitions are a priority for improving transparency on climate target alignment.","ai_generated":true,"unit":"sei-002628#insight-8","date_modified":"2026-10-23"}],"climate_tags":["Paris Agreement","climate bond","transition finance","climate finance","fossil fuel finance","renewable energy"],"geography_discussed":["Western Europe","United States","European Union"],"frame_perspective":[],"analysis_type":["quantitative","longitudinal"]},{"id":"sei-002829","url":"https://climateinsightsdirectory.org/document/sei-002829","title":"Väder, välstånd och välbefinnande","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"sv","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/10/vader-valstand-valbefinnande-halmstad-sei2022.039.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document examines how climate-driven extreme weather events, such as floods and droughts, create cascading failures in essential services that disproportionately affect vulnerable populations in Halmstad, Sweden. It identifies key drivers of social vulnerability—including age, income, and disability—and argues that municipalities should integrate social perspectives into their risk and vulnerability analyses of critical infrastructure to improve crisis preparedness.","ai_generated":true,"unit":"sei-002829#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Social vulnerability in Halmstad is shaped by nine primary factors: age, language, illness and disability, education level, single-parent households, vehicle ownership, housing, income, and unemployment.","ai_generated":true,"unit":"sei-002829#insight-1","date_modified":"2026-10-23"},{"text":"Certain professional roles increase exposure to risks and cascading effects; this includes operational staff repairing power and phone lines, as well as healthcare and home care workers who may face high risks due to a sense of duty to reach patients during storms.","ai_generated":true,"unit":"sei-002829#insight-2","date_modified":"2026-10-23"},{"text":"Dependence on infrastructure can create new vulnerable groups based on the level of redundancy; for example, rural households may be less vulnerable to municipal water outages if they have private wells, whereas urban apartment dwellers lack alternative water sources.","ai_generated":true,"unit":"sei-002829#insight-3","date_modified":"2026-10-23"},{"text":"Cascading effects can occur between different social groups, as seen during the Covid-19 pandemic where school closures increased the burden on single parents, some of whom work in home care, potentially disrupting healthcare services for those dependent on that care.","ai_generated":true,"unit":"sei-002829#insight-4","date_modified":"2026-10-23"},{"text":"Unintentional negative responses in crisis management can exacerbate social inequalities, such as when crisis communication relies on digital tools or specific languages that exclude those without technology or with language barriers.","ai_generated":true,"unit":"sei-002829#insight-5","date_modified":"2026-10-23"},{"text":"The authors recommend that municipalities use 'Impact chains' (konsekvenskedjor) to visualize the links between weather events, disruptions in essential services, and social vulnerability to better design crisis preparedness.","ai_generated":true,"unit":"sei-002829#insight-6","date_modified":"2026-10-23"}],"climate_tags":["extreme weather event","flood","drought","water scarcity","climate change adaptation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study","scenario-based analysis","policy recommendation"]},{"id":"sei-002840","url":"https://climateinsightsdirectory.org/document/sei-002840","title":"Weather, wealth and well-being","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2022-10","source_url":"https://www.sei.org/wp-content/uploads/2022/10/water-related-hazards-halmstad-sei2022.038.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The briefing examines social vulnerability in Halmstad, Sweden, in the context of climate-driven water-related hazards. It argues that while Sweden is generally resilient, specific social groups remain vulnerable due to intersecting factors such as age, income, and disability. Using the impact chain model, the authors demonstrate how disruptions to critical infrastructure—such as water, energy, and transport—can create cascading effects that disproportionately impact the most vulnerable and can even create new vulnerable groups. The document highlights 'erosive coping' where disaster responses may inadvertently reinforce existing inequalities. It recommends that local authorities integrate social dimensions into their risk and vulnerability assessments to design more effective disaster risk reduction strategies.","ai_generated":true,"unit":"sei-002840#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Social vulnerability in Halmstad is shaped by nine primary underlying attributes: age, language, illness and disability, educational attainment, single parent households, vehicle ownership, housing, income, and unemployment.","ai_generated":true,"unit":"sei-002840#insight-1","date_modified":"2026-10-23"},{"text":"Certain professional roles are inherently more exposed to risk during water-related hazards due to their duties, including emergency response personnel, healthcare staff, and caregivers.","ai_generated":true,"unit":"sei-002840#insight-2","date_modified":"2026-10-23"},{"text":"Infrastructure dependency creates varying levels of vulnerability based on redundancy and location; for example, rural residents may be less dependent on municipal water due to private wells, while urban apartment dwellers lack alternative water sources.","ai_generated":true,"unit":"sei-002840#insight-3","date_modified":"2026-10-23"},{"text":"Cascading effects can create new vulnerable groups; for instance, disruptions in education can disproportionately affect women and single mothers who may be forced to stay home with children, subsequently impacting healthcare provision if those mothers are also healthcare workers.","ai_generated":true,"unit":"sei-002840#insight-4","date_modified":"2026-10-23"},{"text":"The document identifies 'erosive coping' as disaster management strategies that increase vulnerability, such as crisis communication that relies on digital tools or specific languages, which excludes those without such access.","ai_generated":true,"unit":"sei-002840#insight-5","date_modified":"2026-10-23"},{"text":"The authors recommend that local authorities move beyond infrastructure-focused risk assessments to include social dimensions and use the impact chain model to identify who depends on critical functions.","ai_generated":true,"unit":"sei-002840#insight-6","date_modified":"2026-10-23"}],"climate_tags":["storm surge","drought","water scarcity","disaster risk reduction","climate change adaptation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study","scenario-based analysis"]},{"id":"sei-000533","url":"https://climateinsightsdirectory.org/document/sei-000533","title":"Delivering Climate Targets","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022-09-29","source_url":"https://www.sei.org/publications/delivering-climate-targets/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that while the EU's Fit for 55 Package is essential for reducing greenhouse gas emissions by at least 55% by 2030, its mitigation policies risk disproportionately affecting vulnerable citizens and workers in carbon-intensive industries. It recommends a progressive approach to fiscal reform, including the redistribution of carbon revenues and the use of the Social Climate Fund, to maintain political support and protect living standards. The paper emphasizes the need for targeted energy policies to address high energy prices and active reconversion policies for regions dependent on fossil fuels, noting the role of the Just Transition Fund in supporting coal-dependent areas.","ai_generated":true,"unit":"sei-000533#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The EU's Fit for 55 Package aims to reduce net greenhouse gas emissions by at least 55% by 2030, but its implementation risks placing a disproportionate burden on vulnerable citizens and workers in carbon-intensive sectors.","ai_generated":true,"unit":"sei-000533#insight-1","date_modified":"2026-10-23"},{"text":"To maintain political support and protect living standards, the EU should implement progressive fiscal reforms, such as ending fossil fuel subsidies and increasing carbon pricing, provided the revenues are redistributed to households.","ai_generated":true,"unit":"sei-000533#insight-2","date_modified":"2026-10-23"},{"text":"The energy transition requires both short-term compensation for energy price increases and long-term accessibility to clean mobility and energy renovation for vulnerable households.","ai_generated":true,"unit":"sei-000533#insight-3","date_modified":"2026-10-23"},{"text":"The EU has established mechanisms to support the transition of carbon-dependent regions, including the Just Transition Fund created in 2020 for coal-dependent areas and the proposed Social Climate Fund within the Fit for 55 Package.","ai_generated":true,"unit":"sei-000533#insight-4","date_modified":"2026-10-23"},{"text":"Proposed reforms in the Fit for 55 Package will impact energy prices for European citizens starting in 2026 through the extension of carbon pricing to transport and buildings and the removal of energy taxation loopholes.","ai_generated":true,"unit":"sei-000533#insight-5","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","climate finance","carbon price","fossil fuel subsidy","just transition"],"geography_discussed":["Ukraine"],"frame_perspective":[],"analysis_type":["policy assessment","social impact analysis"]},{"id":"sei-000760","url":"https://climateinsightsdirectory.org/document/sei-000760","title":"Urban organic waste streams","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022-09-28","source_url":"https://www.sei.org/publications/urban-organic-waste-streams/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document introduces a framework designed to evaluate the environmental and social benefits and trade-offs of circular economy approaches to urban organic waste. Developed through literature reviews and stakeholder interviews, the framework allows for sustainability assessments even with limited data. When applied to Naivasha, Kenya, the framework identified potential benefits including reduced greenhouse gas emissions, improved natural resource efficiency, and job creation, alongside risks such as negative impacts on worker health and smallholder farmers.","ai_generated":true,"unit":"sei-000760#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The proposed framework for assessing resource recovery from organic waste streams was developed by combining aspects of existing frameworks from a literature review and incorporating insights from stakeholder interviews to enable a broad sustainability assessment.","ai_generated":true,"unit":"sei-000760#insight-1","date_modified":"2026-10-23"},{"text":"Application of the framework to Naivasha, Kenya, suggests that increased circularity in organic waste could reduce greenhouse gas emissions, create jobs, and improve natural resource usage, but may also negatively affect smallholder farmers and the health of workers in recovery facilities.","ai_generated":true,"unit":"sei-000760#insight-2","date_modified":"2026-10-23"},{"text":"The framework is capable of providing policy-relevant insights for circular economy implementation during early planning stages, even when data availability is low.","ai_generated":true,"unit":"sei-000760#insight-3","date_modified":"2026-10-23"}],"climate_tags":["circular economy","greenhouse gas emissions"],"geography_discussed":["Naivasha","Kenya"],"frame_perspective":[],"analysis_type":["framework development","case study"]},{"id":"sei-000777","url":"https://climateinsightsdirectory.org/document/sei-000777","title":"Global comparison IMERG CFSR surface precipitation stations","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022-09-26","source_url":"https://www.sei.org/publications/global-comparison-imerg-cfsr-surface-precipitation-stations/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study compares the Integrated MultisatellitE Retrievals for- Global Precipitation Measurement (IMERG) and Climate Forecast and System Reanalysis (CFSR) products against approximately 50,000 in-situ surface stations globally. The results indicate that IMERG generally outperforms CFSR in simulating monthly rainfall across most regions, continents, and countries. Specifically, IMERG showed significantly better mean Nash-Sutcliffe Efficiency (NSE) in 64 countries. While CFSR provided satisfactory simulations for Europe, North America, and Australia, it was unsatisfactory for other continents. To facilitate the use of high-quality data for hydrologic modelling, the authors introduced the Worldwide Weather Service (W3S) for the preprocessing and dissemination of IMERG precipitation data.","ai_generated":true,"unit":"sei-000777#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"IMERG generally provides a satisfactory to good simulation of monthly rainfall across most analyzed regions, continents, countries, and stations, outperforming the CFSR product.","ai_generated":true,"unit":"sei-000777#insight-1","date_modified":"2026-10-23"},{"text":"CFSR showed satisfactory monthly precipitation simulations only for Europe (VE = 0.61), North America (0.56), and Australia (0.56), while simulations for other continents were unsatisfactory.","ai_generated":true,"unit":"sei-000777#insight-2","date_modified":"2026-10-23"},{"text":"IMERG demonstrated a significantly better mean Nash-Sutcliffe Efficiency (NSE) compared to CFSR in 64 different countries.","ai_generated":true,"unit":"sei-000777#insight-3","date_modified":"2026-10-23"}],"climate_tags":["precipitation","water management"],"geography_discussed":["South Asia","Southeast Asia","Europe"],"frame_perspective":[],"analysis_type":["comparative analysis","performance evaluation"]},{"id":"sei-001085","url":"https://climateinsightsdirectory.org/document/sei-001085","title":"Post-2025 Climate Finance Target","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022-09-12","source_url":"https://www.sei.org/publications/post-2025-climate-finance-target/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The authors argue that the current USD 100 billion climate finance target has been fraught with difficulties due to ambiguous definitions and contrasting interpretations regarding investment mobilization versus resource transfer. To improve transparency, accountability, and trust, they propose setting a specific sub-target for grants alongside other targets. The paper identifies five priority elements for negotiations: the relation to Article 2.1(c) of the Paris Agreement, the adaptation-mitigation balance, financial instruments, the mobilization of private finance, and the concept of \"new and additional\" finance.","ai_generated":true,"unit":"sei-001085#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The current climate finance system based on the USD 100 billion annual target is hindered by ambiguous definitions that lead to multiple interpretations, which in turn reduces trust and transparency between nations.","ai_generated":true,"unit":"sei-001085#insight-1","date_modified":"2026-10-23"},{"text":"Climate finance targets are often viewed through two contrasting lenses: the goal of mobilizing large-scale investment and the goal of transferring resources from developed to developing nations.","ai_generated":true,"unit":"sei-001085#insight-2","date_modified":"2026-10-23"},{"text":"To enhance accountability and ensure resources reach the most vulnerable developing countries, the authors recommend implementing a specific sub-target for grants as part of the overall post-2025 target.","ai_generated":true,"unit":"sei-001085#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate finance","Paris Agreement","climate change adaptation","climate change mitigation","private investment","loss and damage","United Nations Framework Convention on Climate Change"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy analysis"]},{"id":"sei-001048","url":"https://climateinsightsdirectory.org/document/sei-001048","title":"Food Waste Minimization and Circularity","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"policy brief","language":"en","date_published":"2022-09-09","source_url":"https://www.sei.org/publications/food-waste-minimization-circularity/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document highlights that approximately 30% of global food production is lost or wasted, necessitating a shift toward a circular bioeconomy. It argues that technical solutions alone are insufficient and must be paired with behavioral change, institutional capacity building, and incentives. The brief specifically emphasizes the role of urban and peri-urban farming systems in absorbing waste and suggests that a circular bioeconomy approach could yield US$ 2.7 trillion in annual benefits by 2050.","ai_generated":true,"unit":"sei-001048#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Food loss and waste currently account for approximately 30% of global food production.","ai_generated":true,"unit":"sei-001048#insight-1","date_modified":"2026-10-23"},{"text":"Effective food waste minimization requires moving beyond technical solutions to prioritize behavioral change, planning, and institutional capacities through positive or negative incentives.","ai_generated":true,"unit":"sei-001048#insight-2","date_modified":"2026-10-23"},{"text":"Adopting a circular bioeconomy approach could result in annual benefits of US$ 2.7 trillion by 2050, including the preservation of 15 million hectares of arable land from degradation and a reduction in greenhouse gas emissions.","ai_generated":true,"unit":"sei-001048#insight-3","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","Sustainable Development Goals"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy analysis"]},{"id":"sei-000426","url":"https://climateinsightsdirectory.org/document/sei-000426","title":"Agriculture-driven tropical deforestation","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022-09-08","source_url":"https://www.sei.org/publications/agriculture-driven-tropical-deforestation","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document finds that while agriculture drove 90-99% of tropical deforestation between 2011 and 2015, only 45-65% of that land became productive agriculture. It argues that international supply chain measures are limited because one-third to one-half of agriculture-driven deforestation does not result in actively managed land, and approximately three-quarters of agricultural expansion into forests is driven by domestic demand, particularly for beef and cereals.","ai_generated":true,"unit":"sei-000426#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2011 and 2015, agriculture was the primary driver of tropical deforestation, accounting for 90% to 99% of occurrences, yet only 45% to 65% of the deforested land was converted into productive agriculture within a few years.","ai_generated":true,"unit":"sei-000426#insight-1","date_modified":"2026-10-23"},{"text":"Policies targeting deforestation-free international supply chains have limited effectiveness because one-third to one-half of agriculture-driven deforestation does not lead to the creation of actively managed agricultural land.","ai_generated":true,"unit":"sei-000426#insight-2","date_modified":"2026-10-23"},{"text":"Domestic demand in producer countries drives approximately three-quarters of agricultural expansion into forests, with a particular emphasis on cereals, beef, and deforestation across Africa.","ai_generated":true,"unit":"sei-000426#insight-3","date_modified":"2026-10-23"}],"climate_tags":["agriculture","land-use change"],"geography_discussed":["Africa"],"frame_perspective":[],"analysis_type":["literature review","synthesis"]},{"id":"sei-000412","url":"https://climateinsightsdirectory.org/document/sei-000412","title":"State of Gender Equality and Climate Change in ASEAN","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"policy brief","language":"en","date_published":"2022-09-01","source_url":"https://www.sei.org/publications/state-of-gender-equality-and-climate-change-in-asean/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document serves as a consolidation of a flagship report examining how intersecting forms of discrimination create differentiated vulnerabilities to climate change across 10 ASEAN Member States. It focuses on integrating gender equality and social inclusion into three key sectors: renewable energy, disaster risk reduction, and agriculture, with detailed policy reviews for Cambodia, Indonesia, the Philippines, and Viet Nam.","ai_generated":true,"unit":"sei-000412#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change responses can advance gender equality, sustainable development, and poverty reduction, provided they are based on an understanding of how intersecting factors—such as gender, class, ethnicity, migration status, age, and disability—create varied vulnerabilities and limit the ability of certain groups to influence or benefit from climate action.","ai_generated":true,"unit":"sei-000412#insight-1","date_modified":"2026-10-23"},{"text":"The underlying report provides a gender-based analysis of climate mitigation and adaptation across 10 ASEAN Member States, specifically targeting the sectors of renewable energy (RE), disaster risk reduction (DRR), and agriculture.","ai_generated":true,"unit":"sei-000412#insight-2","date_modified":"2026-10-23"}],"climate_tags":["gender equality","climate change adaptation","climate change mitigation","renewable energy","disaster risk reduction","agriculture","social inclusion","poverty reduction"],"geography_discussed":["Cambodia","Indonesia","Philippines","Vietnam"],"frame_perspective":[],"analysis_type":["policy analysis","gender-based analysis"]}]}