{"query_echo":{"q":"","filters":{"analysis_type":["cross-impact matrix"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'cross-impact matrix' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":3,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=cross-impact+matrix","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-000697","url":"https://climateinsightsdirectory.org/document/sei-000697","title":"Interactions between key Sustainable Development Goal (SDG) targets are synergetic at the global level when pursuing efforts to limit the temperature increase to 1.5°C","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2023-02-22","source_url":"https://www.sei.org/publications/sdg-interactions-climate-global/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The analysis finds that interactions between key SDG targets are generally synergetic at a global level when aligned with a 1.5°C climate target. Specifically, mobilizing climate finance and Official Development Assistance (ODA) and mainstreaming climate change into national policy are identified as the most beneficial objectives for advancing all other targets. The authors conclude that achieving these goals in tandem with the 1.5°C limit would strongly improve global resilience, adaptive capacity, and the reduction of poverty, vulnerability, and inequality.","ai_generated":true,"unit":"sei-000697#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"At a global level, interactions between key SDG targets are synergetic when the objective is to limit the temperature increase to 1.5°C.","ai_generated":true,"unit":"sei-000697#insight-1","date_modified":"2026-10-23"},{"text":"Two specific objectives are most effective for driving progress across all other SDG targets: the mainstreaming of climate change into national policy and the mobilization of Official Development Assistance (ODA) and climate finance.","ai_generated":true,"unit":"sei-000697#insight-2","date_modified":"2026-10-23"},{"text":"Simultaneously achieving SDG targets and staying within a 1.5°C warming limit would significantly enhance global adaptive capacity and resilience while decreasing poverty, vulnerability, and inequality.","ai_generated":true,"unit":"sei-000697#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate finance","Paris Agreement","Sustainable Development Goals","climate change adaptation","poverty reduction","climate resilience"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["cross-impact matrix","expert perception analysis"]},{"id":"sei-001953","url":"https://climateinsightsdirectory.org/document/sei-001953","title":"Understanding the interactions of Sustainable Development Goals in Sri Lanka","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"policy brief","language":"en","date_published":"2021-05","source_url":"https://www.sei.org/wp-content/uploads/2021/04/sri-lanka-sdg-synergies-brief.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The analysis of 36 SDG targets in Sri Lanka reveals a highly synergistic environment where only 2% of direct interactions are restricting. The most significant 'accelerators' for the entire agenda are strengthening policy coherence, reducing corruption, and enhancing climate change capacity. Conversely, expanding access to drinking water and decent housing present the highest risks of trade-offs, particularly regarding natural resource management and water wastage. The findings emphasize that most trade-offs are non-deterministic and can be mitigated through mindful implementation and institutional coordination.","ai_generated":true,"unit":"sei-001953#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The interactions between the 36 analyzed SDG targets in Sri Lanka are overwhelmingly synergistic, with only 2% of all direct interactions identified as restricting.","ai_generated":true,"unit":"sei-001953#insight-1","date_modified":"2026-10-23"},{"text":"Three specific targets act as 'accelerators' that provide the greatest potential to promote progress across the entire set of analyzed goals: policy coherence (target 17.14), reducing corruption (target 16.5), and building climate change capacity (target 13.3).","ai_generated":true,"unit":"sei-001953#insight-2","date_modified":"2026-10-23"},{"text":"Increasing access to drinking water (target 6.1) and expanding safe and affordable housing (target 11.1) are the targets most likely to undermine progress in other areas, requiring careful implementation to mitigate trade-offs.","ai_generated":true,"unit":"sei-001953#insight-3","date_modified":"2026-10-23"},{"text":"While progress in food, nutrition, and agriculture (targets 2.1-2.4) generally supports poverty reduction and economic development, increasing agricultural productivity may create trade-offs with deforestation, water pollution, and environmental sustainability.","ai_generated":true,"unit":"sei-001953#insight-4","date_modified":"2026-10-23"},{"text":"Improving access to drinking water can enhance labor productivity and education by reducing water-borne diseases, but it may restrict the management of freshwater and marine ecosystems due to risks of water wastage and poor institutional coordination.","ai_generated":true,"unit":"sei-001953#insight-5","date_modified":"2026-10-23"},{"text":"Expanding affordable housing can reduce poverty by increasing household assets, but it may negatively impact water, transportation, and natural resource management depending on building materials, energy sources, and city expansion locations.","ai_generated":true,"unit":"sei-001953#insight-6","date_modified":"2026-10-23"}],"climate_tags":["Sustainable Development Goals","agricultural productivity","water management","deforestation","water pollution","social protection","affordable housing"],"geography_discussed":["Nuwara Eliya District"],"frame_perspective":[],"analysis_type":["systemic review","network analysis","cross-impact matrix"]},{"id":"sei-002096","url":"https://climateinsightsdirectory.org/document/sei-002096","title":"Promoviendo una implementación coherente de la dimensión ambiental de los ODS en Colombia","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"es","date_published":"2020-09","source_url":"https://www.sei.org/wp-content/uploads/2020/11/201218-ortiz-lobos-colombia-sdgs-onu-medio-ambiente-working-paper.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This report by the Stockholm Environment Institute and UNEP analyzes the synergies between SDG targets in Colombia and the department of Antioquia. Using a cross-impact matrix and network analysis, the study identifies 'catalytic' goals—those that most positively influence others—to inform the implementation of the National Development Plan (PND) 2018-2022. Key findings highlight that while national priorities focus on sustainable production and urban impact, regional priorities in Antioquia center on sustainable agriculture, demonstrating that SDG interactions are highly dependent on local contexts.","ai_generated":true,"unit":"sei-002096#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"At the national level, the most catalytic goal is target 8.4, which focuses on efficient production and consumption and decoupling economic growth from environmental degradation. This target positively influences at least eight other goals, including those related to agricultural resilience (2.4), water access (6.1), and terrestrial ecosystem use (15.1).","ai_generated":true,"unit":"sei-002096#insight-1","date_modified":"2026-10-23"},{"text":"The second most catalytic goal nationally is target 11.6, concerning the negative impact of cities. It is noted for its high impact on reducing marine pollution (14.1) and increasing the resilience of vulnerable communities (1.5).","ai_generated":true,"unit":"sei-002096#insight-2","date_modified":"2026-10-23"},{"text":"In the regional analysis for Antioquia, target 2.4 (sustainable food production systems and resilient agricultural practices) is the most influential goal. It strongly impacts the resilience of poor and vulnerable populations (1.5), water quality (6.3), and the reduction of chemical pollution (12.4).","ai_generated":true,"unit":"sei-002096#insight-3","date_modified":"2026-10-23"},{"text":"The regional analysis in Antioquia revealed more negative interactions than the national analysis. These primarily involve conflicts between energy production (7.2) and drinking water availability (6.1), as well as private sector development (8.3) and the quality of natural resources (15.1).","ai_generated":true,"unit":"sei-002096#insight-4","date_modified":"2026-10-23"},{"text":"The study identifies that the most impacted goals nationally are target 15.1 (conservation and restoration of forests) and target 1.5 (reducing disaster effects), meaning their progress is highly dependent on the actions taken toward other goals.","ai_generated":true,"unit":"sei-002096#insight-5","date_modified":"2026-10-23"},{"text":"The COVID-19 pandemic is expected to negatively affect the achievement of the 2030 Agenda in Colombia, potentially reversing poverty levels (SDG 1) to those of two decades ago and risking the employment of 15 million people.","ai_generated":true,"unit":"sei-002096#insight-6","date_modified":"2026-10-23"}],"climate_tags":["Sustainable Development Goals","circular economy","green growth","water management","forest conservation","sustainable agriculture","climate policy","renewable energy","greenhouse gas emissions","biodiversity conservation"],"geography_discussed":["Bogotá","Medellín"],"frame_perspective":[],"analysis_type":["synergy analysis","cross-impact matrix","network analysis","policy alignment"]}]}