{"query_echo":{"q":"","filters":{"geography":["Eurasia"]},"warnings":[]},"total":{"value":5,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Eurasia","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":"tess-000053","url":"https://climateinsightsdirectory.org/document/tess-000053","title":"Digital Transformation Trade, Climate, and Net Zero Pathways: Scenarios and Implications for Developing Countries and Climate-Resilient Development","publisher":{"name":"Forum on Trade, Environment, & the SDGs","organization":"forum-on-trade-environment-the-sdgs"},"document_type":"briefing","language":"en","date_published":"2025-09","source_url":"https://lyrical-cormorant.files.svdcdn.com/production/assets/images/Publications/TESS-Briefing-Note-Digital-Transformation-Net-Zero.pdf?dm=1757416928","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the 'twin transition' of digital and green transformations, highlighting how digital technologies can both enable climate action and contribute significantly to global greenhouse gas emissions. It identifies critical gaps in infrastructure and financing for developing countries and proposes five priority decarbonization levers: green infrastructure, energy-efficient operations, sustainable supply chains, circular economy models, and climate-compatible infrastructure. The authors argue for coordinated international cooperation, targeted financial incentives, and the integration of environmental provisions into digital trade agreements to ensure an inclusive transition to net zero.","ai_generated":true,"unit":"tess-000053#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 'twin transition' involves the simultaneous pursuit of digital and green transformations, where digital tools are used to accelerate low-carbon economies, though this potential is not automatic and depends on policy and capacity.","ai_generated":true,"unit":"tess-000053#insight-1","date_modified":"2026-10-23"},{"text":"Digital technologies contribute between 1.4% and 4% of global greenhouse gas emissions, a level comparable to the airline industry. To meet the Paris Agreement's 1.5°C target, these emissions must be reduced by at least 50% by 2030.","ai_generated":true,"unit":"tess-000053#insight-2","date_modified":"2026-10-23"},{"text":"Data centers are highly energy-intensive and resource-heavy, with electricity consumption projected to more than double from 460TWh in 2022 to over 1,000TWh by 2026.","ai_generated":true,"unit":"tess-000053#insight-3","date_modified":"2026-10-23"},{"text":"A significant digital divide persists, with 2.6 billion people (approximately 32% of the global population) offline as of 2024, and internet penetration in low-income countries at only 27%.","ai_generated":true,"unit":"tess-000053#insight-4","date_modified":"2026-10-23"},{"text":"The mobile industry faces a major challenge with scope 3 emissions, which account for 70% of its total carbon emissions. Progress in reducing operational emissions (scope 1 and 2) between 2019 and 2023 was highest in Europe (-56%) and North America (-44%), while Greater China saw an 8% increase.","ai_generated":true,"unit":"tess-000053#insight-5","date_modified":"2026-10-23"},{"text":"Developing countries with abundant renewable energy, such as Kenya, Morocco, and South Africa, are well-positioned to attract investment in green data centers. Kenya is specifically developing a 100 MW geothermal-powered facility with plans to expand to 1 GW.","ai_generated":true,"unit":"tess-000053#insight-6","date_modified":"2026-10-23"},{"text":"Global demand for critical minerals is expected to increase by up to 500% by 2050, offering resource-rich developing countries opportunities to move up the value chain through local processing of materials like cobalt, lithium, and rare earth elements.","ai_generated":true,"unit":"tess-000053#insight-7","date_modified":"2026-10-23"},{"text":"Current efforts to address the digital sector's climate footprint are fragmented and uncoordinated, lacking a harmonized global framework for transparent and comparable reporting of GHG emissions and energy consumption.","ai_generated":true,"unit":"tess-000053#insight-8","date_modified":"2026-10-23"}],"climate_tags":["Net-zero emissions","greenhouse gas emissions","energy efficiency","renewable energy","circular economy","critical minerals","data center","sustainable development","carbon tax","sustainable procurement"],"geography_discussed":["Kenya","Morocco","South Africa","European Union","People's Republic of China","Brazil","North America","Europe","Latin America","sub-Saharan Africa","Middle East and North Africa","Asia Pacific","Eurasia"],"frame_perspective":[],"analysis_type":["policy analysis","scenario assessment","sectoral review"]},{"id":"cssn-000052","url":"https://climateinsightsdirectory.org/document/cssn-000052","title":"Researching Climate Obstruction in Authoritarian and non-Democratic Contexts","publisher":{"name":"Climate Social Science Network","organization":"climate-social-science-network"},"document_type":"briefing","language":"en","date_published":"2025","source_url":"https://cssn.org/wp-content/uploads/2025/11/Martus_Poberezhskaya_etal_Brief.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines the challenges of researching climate obstruction in restrictive political environments, focusing on participant safety, data security, and the navigation of political 'red lines'. It recommends flexible research designs, such as using snowball sampling and reframing sensitive topics, to mitigate risks associated with government surveillance and data manipulation in non-democratic states.","ai_generated":true,"unit":"cssn-000052#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Researching climate obstruction in authoritarian regimes involves significant risks to participants and researchers, including government surveillance and the potential for retrospective danger if regime changes occur after data is published.","ai_generated":true,"unit":"cssn-000052#insight-1","date_modified":"2026-10-23"},{"text":"To protect participants in restrictive settings, researchers should prioritize maximum anonymity, use verbal consent instead of written forms, and employ data triangulation to minimize the risk of identifying respondents.","ai_generated":true,"unit":"cssn-000052#insight-2","date_modified":"2026-10-23"},{"text":"Data security requires rigorous technical measures, such as using encrypted virtual drives, VPNs, and dedicated offline laptops to prevent hacking or surveillance of sensitive interview notes and recordings.","ai_generated":true,"unit":"cssn-000052#insight-3","date_modified":"2026-10-23"},{"text":"Access to information is heavily influenced by the researcher's identity, including nationality and institutional affiliation, particularly in states with 'foreign agent' or 'foreign influence' laws.","ai_generated":true,"unit":"cssn-000052#insight-4","date_modified":"2026-10-23"},{"text":"Researchers must navigate 'red lines' by reframing sensitive topics; for example, in China, framing discussions around 'ecological civilisation' is more acceptable than directly criticizing government policy.","ai_generated":true,"unit":"cssn-000052#insight-5","date_modified":"2026-10-23"},{"text":"When in-country research becomes too dangerous or restricted, researchers can pivot to alternative strategies such as interviewing exile communities, focusing on subnational governance, or relying on document analysis.","ai_generated":true,"unit":"cssn-000052#insight-6","date_modified":"2026-10-23"},{"text":"Quantitative data from authoritarian regimes may be unreliable due to systemic overreporting of macroeconomic indicators, which likely extends to emissions reporting and energy statistics.","ai_generated":true,"unit":"cssn-000052#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change mitigation","climate change adaptation","fossil fuel","renewable energy","climate policy","climate governance"],"geography_discussed":["Central Asia","Middle East","North Africa","sub-Saharan Africa","Asia","Eurasia","People's Republic of China","Southeast Asia","Russia"],"frame_perspective":[],"analysis_type":["methodological guidance","ethical framework"]},{"id":"ember-000114","url":"https://climateinsightsdirectory.org/document/ember-000114","title":"In 12 months the renewables market has moved but governments have not","publisher":{"name":"Ember","organization":"ember"},"document_type":"report","language":"en","date_published":"2024-11-12","source_url":"https://ember-energy.org/latest-insights/renewables-market-have-moved-but-governments-have-not","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"National renewable energy targets for 2030 currently aim for a collective doubling of capacity rather than the tripling agreed upon at COP28, despite market forecasts suggesting such a goal is achievable, particularly for solar and battery storage.","ai_generated":true,"unit":"ember-000114#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"National renewable energy targets for 2030 have remained largely stagnant since COP28, increasing by only 4 GW in the last 12 months to a total of 7,242 GW. This represents a doubling of 2022 capacity (3,379 GW), leaving a gap of 3,758 GW to reach the global tripling goal of at least 11,000 GW.","ai_generated":true,"unit":"ember-000114#insight-1","date_modified":"2026-10-23"},{"text":"Solar energy deployment is significantly outpacing national targets. While the sum of 2030 national solar targets is 3,011 GW, market forecasts project capacity could reach 6,640 GW by 2030. In 31 of 55 analysed countries, projected solar additions already exceed their current 2030 targets.","ai_generated":true,"unit":"ember-000114#insight-2","date_modified":"2026-10-23"},{"text":"Wind energy targets and market forecasts are aligned but both fall short of the tripling goal. National targets project 2,157 GW by 2030, leaving a 585 GW gap to reach the required 2,742 GW. China is expected to install over 50% of global wind additions between 2024 and 2030, while the rest of the world is projected to less than double its capacity.","ai_generated":true,"unit":"ember-000114#insight-3","date_modified":"2026-10-23"},{"text":"Energy storage targets are severely underdeveloped. Only 30 of 96 assessed countries have national storage targets, totalling 284 GW. This is significantly lower than the 1,500 GW target called for by the G7 and COP presidency, and also falls short of the BNEF market forecast of 776 GW for battery storage alone.","ai_generated":true,"unit":"ember-000114#insight-4","date_modified":"2026-10-23"},{"text":"Regional analysis shows that all regions are falling short of the ambition needed for a global tripling. The Middle East and North Africa (MENA), Sub-Saharan Africa, and Eurasia have the largest relative shortfalls. Asia and the OECD have the largest absolute gaps, together responsible for 80% of the required capacity additions this decade.","ai_generated":true,"unit":"ember-000114#insight-5","date_modified":"2026-10-23"}],"climate_tags":["solar energy","wind power","battery energy storage system","Nationally Determined Contributions","energy transition","climate finance","energy infrastructure"],"geography_discussed":["European Union","sub-Saharan Africa","Eurasia","Latin America and the Caribbean","Asia","OECD","People's Republic of China","Turkey"],"frame_perspective":[],"analysis_type":["target assessment","market forecast comparison","regional gap analysis"]},{"id":"clipolin-001014","url":"https://climateinsightsdirectory.org/document/clipolin-001014","title":"Paris Misaligned: An Assessment of Global Power Sector Investment","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2020-12","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2020/12/3.-Paris-Misaligned-An-Assessment-of-Global-Power-Sector-Investment-4.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that while renewable energy investment is growing, continued funding for fossil fuel power plants and the presence of 'locked-in' emissions from existing assets keep the global power sector on a temperature trajectory exceeding 3.2°C. It highlights a significant gap between actual 2018 investment carbon intensities and the negative thresholds required by 2030 to achieve Paris alignment. The analysis identifies specific misalignments among major economies like China, India, and Japan, and among financial actors such as commercial banks and export credit agencies. The document recommends halting new carbon-intensive investments, accelerating the retirement of existing fossil fuel plants, and harmonizing climate risk reporting.","ai_generated":true,"unit":"clipolin-001014#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2018, approximately 30% of new power sector investment was directed toward fossil fuel plants, which places the global trajectory on a temperature rise of over 3.2°C.","ai_generated":true,"unit":"clipolin-001014#insight-1","date_modified":"2026-10-23"},{"text":"The carbon intensity of new power investment in 2018 was 0.33 tCO2/MWh, which is 20% higher than the 0.27 tCO2/MWh required by 2030 to meet the IEA's 1.8°C Paris-consistent scenario.","ai_generated":true,"unit":"clipolin-001014#insight-2","date_modified":"2026-10-23"},{"text":"To achieve true Paris alignment, new investment must not only be zero-carbon but also compensate for 'locked-in' emissions from existing assets, meaning target carbon intensities for new generation are actually negative across all 22 analyzed regions and countries.","ai_generated":true,"unit":"clipolin-001014#insight-3","date_modified":"2026-10-23"},{"text":"At the country and regional level, less than 1% of new power investment is compatible with Paris-consistent decarbonization pathways, with 17% being 'extremely misaligned'.","ai_generated":true,"unit":"clipolin-001014#insight-4","date_modified":"2026-10-23"},{"text":"Major economies in Asia, specifically China, India, Japan, and South Africa, are on 'extremely misaligned' trajectories due to continued heavy investment in high-emissions fossil fuel power.","ai_generated":true,"unit":"clipolin-001014#insight-5","date_modified":"2026-10-23"},{"text":"Export Credit Agencies (ECAs) were the most misaligned investor type, with nearly half of their tracked power finance (USD 3.8 billion) funding coal projects and the highest asset carbon intensity of 0.64 tCO2/MWh.","ai_generated":true,"unit":"clipolin-001014#insight-6","date_modified":"2026-10-23"},{"text":"Commercial banks' power sector finance was 'very misaligned' in aggregate; while 82% of their project finance went to renewables, they provided significant funding for coal in Japan and Asia Pacific, and gas in the US and Southeast Asia.","ai_generated":true,"unit":"clipolin-001014#insight-7","date_modified":"2026-10-23"},{"text":"A significant portion of global power sector finance (41% of tracked finance, totaling USD 145 billion) comes from unknown sources and is 'extremely misaligned' with Paris targets.","ai_generated":true,"unit":"clipolin-001014#insight-8","date_modified":"2026-10-23"},{"text":"In the U.S. road transport sector, 98% of 2018 vehicle sales were internal combustion engine vehicles, placing new vehicle sales on a warming path of more than 2.7°C.","ai_generated":true,"unit":"clipolin-001014#insight-9","date_modified":"2026-10-23"}],"climate_tags":["electric power industry","renewable energy","fossil fuel","coal","natural gas","nuclear power","emission intensity","Paris Agreement","climate finance","stranded asset","decarbonization","electric vehicle","road transport","carbon offset","fossil fuel subsidy"],"geography_discussed":["United States","People's Republic of China","India","Japan","South Africa","Asia Pacific","North America","Europe","Africa","Middle East","Eurasia","Russia","Germany","France","United Kingdom"],"frame_perspective":[],"analysis_type":["investment alignment assessment","scenario analysis","geographic and actor-based breakdown"]},{"id":"prio-001371","url":"https://climateinsightsdirectory.org/document/prio-001371","title":"Ethno-Nationalist Triads: Assessing the Influence of Kin Groups on Civil Wars","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://cdn.cloud.prio.org/files/2f014d34-342d-4028-b156-0aa74d757cbd/Ethno-Nationalist Triads Assessing the Influence of Kin Groups on Civil Wars.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The research argues that transnational ethnic ties increase the risk of civil war, but this effect is conditional on the domestic demographic size of the marginalized group. Using a triadic model and geocoded data, the authors find that larger excluded groups with kin in neighboring states are significantly more likely to engage in conflict than those without such ties, while the governmental status of the external kin group does not have a statistically significant impact.","ai_generated":true,"unit":"prio-001371#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The probability of ethno-nationalist civil war increases when marginalized ethnic groups are larger in relative demographic size, are located further from the state capital, or reside in mountainous terrain.","ai_generated":true,"unit":"prio-001371#insight-1","date_modified":"2026-10-23"},{"text":"Transnational ethnic ties do not unconditionally increase the risk of conflict; rather, their influence is conditional on the domestic power balance of the marginalized group.","ai_generated":true,"unit":"prio-001371#insight-2","date_modified":"2026-10-23"},{"text":"The presence of transnational kin in neighboring states significantly improves the predictive accuracy of conflict onset models compared to models relying solely on domestic variables.","ai_generated":true,"unit":"prio-001371#insight-3","date_modified":"2026-10-23"},{"text":"There is no statistically significant evidence that the risk of conflict is higher when the external kin group is in power (governmental) as opposed to being a marginalized group themselves.","ai_generated":true,"unit":"prio-001371#insight-4","date_modified":"2026-10-23"},{"text":"The risk of conflict is specifically heightened for groups with kin in neighboring states (within 500 km), as geographical proximity facilitates resource mobilization and provides tactical advantages like extra-territorial bases.","ai_generated":true,"unit":"prio-001371#insight-5","date_modified":"2026-10-23"},{"text":"The study's findings are consistent across both static analysis (1945-2005) and dynamic annual panel data, confirming that the interactive effect between demographic size and transnational ties is robust.","ai_generated":true,"unit":"prio-001371#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Turkey","Iraq","Croatia","Bosnia and Herzegovina","Kosovo","Switzerland"],"frame_perspective":[],"analysis_type":["quantitative analysis","dyadic analysis","triadic model","regression analysis"]}]}