{"query_echo":{"q":"","filters":{"analysis_type":["financial flow mapping"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'financial flow mapping' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":6,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=financial+flow+mapping","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":"clipolin-001171","url":"https://climateinsightsdirectory.org/document/clipolin-001171","title":"Landscape of Climate Finance in Brazil 2023","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2025","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2025/11/Landscape-of-Climate-Finance-in-Brazil_2023.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Climate finance in Brazil more than doubled between 2019 and 2023, reaching US$ 67.8 billion. The growth was primarily driven by solar energy and AFOLU (Agriculture, Forestry, and Other Land Use), with domestic sources accounting for 90% of total finance. While mitigation dominates the objective mix, finance for loss and damage saw an exponential increase in 2024, largely due to disaster relief following flooding in Rio Grande do Sul.","ai_generated":true,"unit":"clipolin-001171#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Total climate finance in Brazil experienced significant growth from 2019 to 2023, increasing from US$ 26.4 billion to US$ 67.8 billion.","ai_generated":true,"unit":"clipolin-001171#insight-1","date_modified":"2026-10-23"},{"text":"The growth in total climate finance between 2020/21 and 2022/23 was primarily driven by the energy systems and AFOLU sectors. Solar energy investments rose from US$ 9.5 billion to US$ 22.4 billion, while AFOLU finance nearly doubled from US$ 14.9 billion to US$ 28 billion.","ai_generated":true,"unit":"clipolin-001171#insight-2","date_modified":"2026-10-23"},{"text":"Domestic public and private actors provided 90% of Brazil's tracked climate finance in 2021/22, a ratio similar to other BRICS nations like India (87%) and South Africa (91%).","ai_generated":true,"unit":"clipolin-001171#insight-3","date_modified":"2026-10-23"},{"text":"Private climate finance was more than twice as large as public finance in 2022/23, totaling US$ 45.1 billion compared to US$ 19.3 billion. Commercial financial institutions provided over half of the private finance (US$ 23.5 billion), largely through climate-aligned rural credit (US$ 19 billion).","ai_generated":true,"unit":"clipolin-001171#insight-4","date_modified":"2026-10-23"},{"text":"BNDES and the federal government were the primary public sources of climate finance in 2022/23, together providing US$ 13.8 billion. BNDES led with US$ 7.2 billion, mainly via low-cost debt, while the federal government provided US$ 6.6 billion.","ai_generated":true,"unit":"clipolin-001171#insight-5","date_modified":"2026-10-23"},{"text":"Mitigation was the dominant climate objective in 2022/23, accounting for 79% (US$ 50.9 billion) of total finance. Dual benefits (adaptation and mitigation) accounted for 11%, while adaptation alone was minimal at 7%.","ai_generated":true,"unit":"clipolin-001171#insight-6","date_modified":"2026-10-23"},{"text":"Finance for loss and damage (L&D) grew exponentially, from US$ 0.2 billion in 2019 to US$ 2.2 billion in 2023. In 2024, L&D finance surged to US$ 8.1 billion, primarily for disaster relief following catastrophic flooding in Rio Grande do Sul.","ai_generated":true,"unit":"clipolin-001171#insight-7","date_modified":"2026-10-23"},{"text":"Forest finance saw a sharp decline, falling approximately six times from US$ 1.5 billion in 2019 to US$ 254 million in 2023. For native forests in 2022/23, international public actors provided 65% of the funding.","ai_generated":true,"unit":"clipolin-001171#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate finance","solar energy","wind energy","biofuel","hydropower","sustainable agriculture","agroforestry","climate change adaptation","climate change mitigation","loss and damage","equity"],"geography_discussed":["India","South Africa","Rio Grande do Sul"],"frame_perspective":[],"analysis_type":["financial flow mapping","trend analysis","sectoral analysis"]},{"id":"sei-001645","url":"https://climateinsightsdirectory.org/document/sei-001645","title":"How do development finance institutions support national development goals?","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"policy brief","language":"en","date_published":"2022-05","source_url":"https://www.sei.org/wp-content/uploads/2022/05/sei-brief-dfis-development-goals-marbuah-may-2022.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document finds that DFIs are generally averse to letting national development plans shape their investment decisions, leading to underfunding in strategic sectors such as manufacturing in Ethiopia, healthcare and ICT in Ghana, and transport and ICT in Kenya. While DFIs contribute to the Sustainable Development Goals (SDGs) and the Paris Agreement through clean energy investments, they often treat national agendas as risk factors rather than investment determinants. The authors propose a four-step framework—Identify, Compare, Engage, and Invest—to help DFIs better align their financial flows with country-level strategic sectors.","ai_generated":true,"unit":"sei-001645#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"DFIs generally do not allow national development plans to explicitly determine their investment decisions or funding allocations, often treating these plans as risk factors during due diligence rather than primary drivers of investment.","ai_generated":true,"unit":"sei-001645#insight-1","date_modified":"2026-10-23"},{"text":"There are significant DFI funding gaps in sectors identified as national priorities in three African countries: manufacturing and construction in Ethiopia; construction, healthcare, and ICT in Ghana; and education, transport, and ICT in Kenya.","ai_generated":true,"unit":"sei-001645#insight-2","date_modified":"2026-10-23"},{"text":"DFIs contribute to climate change mitigation and the Paris Agreement by investing in clean energy technologies, specifically solar energy and hydropower, for both on-grid and off-grid supplies.","ai_generated":true,"unit":"sei-001645#insight-3","date_modified":"2026-10-23"},{"text":"DFIs often prioritize viable private sector opportunities over nascent opportunities that might have higher development impacts but are not yet profitable.","ai_generated":true,"unit":"sei-001645#insight-4","date_modified":"2026-10-23"},{"text":"The study suggests a four-step process for DFIs to increase alignment with national goals: identifying strategic sectors, comparing them with current portfolios, engaging with stakeholders (firms, financial institutions, and governments), and scoping feasible investments.","ai_generated":true,"unit":"sei-001645#insight-5","date_modified":"2026-10-23"}],"climate_tags":["clean energy","hydropower","solar energy","Paris Agreement","climate finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy assessment","financial flow mapping"]},{"id":"sei-001823","url":"https://climateinsightsdirectory.org/document/sei-001823","title":"Understanding the role of development finance institutions in promoting development","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2022-02","source_url":"https://www.sei.org/wp-content/uploads/2022/02/sei-report-development-finance-three-countries-03032022.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the alignment between DFI funding and national strategic priorities in Ethiopia, Ghana, and Kenya. It finds that while national plans are generally aligned with SDGs, DFIs often operate based on internal strategies rather than national plans. The analysis identifies specific sectoral gaps where DFIs could provide financial additionality, particularly in ICT and healthcare, and proposes a four-step framework for DFIs to better align investments with country-level strategic sectors.","ai_generated":true,"unit":"sei-001823#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"DFIs generally do not integrate national development plans into their investment decisions to a significant degree, instead relying on internal mandates, shareholder objectives, and sector strategies.","ai_generated":true,"unit":"sei-001823#insight-1","date_modified":"2026-10-23"},{"text":"Among the three case studies, Ghana shows the highest alignment of DFI finance (excluding investment funds) with national priority sectors, followed by Kenya, while Ethiopia shows the lowest alignment for total DFI flows.","ai_generated":true,"unit":"sei-001823#insight-2","date_modified":"2026-10-23"},{"text":"In Ethiopia, DFI investments are heavily concentrated in agribusiness (60%) and tourism (35%), leaving strategic sectors like construction and manufacturing under-represented by DFIs but supported by commercial finance.","ai_generated":true,"unit":"sei-001823#insight-3","date_modified":"2026-10-23"},{"text":"In Kenya, DFIs focus heavily on the finance sector (57%) and energy (13%), with opportunities to increase funding in strategic sectors such as transport and ICT, which are currently reliant on ODA.","ai_generated":true,"unit":"sei-001823#insight-4","date_modified":"2026-10-23"},{"text":"In Ghana, DFI funding is strongly aligned with energy (41%) and transport (14%), but there is significant under-funding in healthcare and ICT.","ai_generated":true,"unit":"sei-001823#insight-5","date_modified":"2026-10-23"},{"text":"DFIs contribute most effectively to SDGs 7 (energy), 8 (economic growth), and 13 (climate change), particularly through job creation and investments in clean energy like hydropower and solar.","ai_generated":true,"unit":"sei-001823#insight-6","date_modified":"2026-10-23"},{"text":"The report proposes a four-step process for DFIs to increase alignment with strategic sectors: identifying strategic sectors, comparing them with current activities, discussing needs with stakeholders, and investing in target sectors.","ai_generated":true,"unit":"sei-001823#insight-7","date_modified":"2026-10-23"}],"climate_tags":["Sustainable Development Goals","climate finance","clean energy","hydropower","solar energy","Paris Agreement","green economy","climate change"],"geography_discussed":["Haiti","Lebanon","Madagascar","Nepal","Sierra Leone","Democratic Republic of the Congo"],"frame_perspective":[],"analysis_type":["case study","financial flow mapping","policy review","stakeholder interviews"]},{"id":"sei-002719","url":"https://climateinsightsdirectory.org/document/sei-002719","title":"Climate finance in the Pacific: An overview of flows to the region’s Small Island Developing States","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2017-01","source_url":"https://www.sei.org/mediamanager/documents/Publications/Climate/SEI-WP-2017-04/SEI-WP-2017-04-Pacific-climate-finance-flows-FM.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Between 2010 and 2014, US$748 million in climate finance was committed to 15 Pacific SIDS, primarily as grants and delivered through bilateral channels. Adaptation received 59% of this funding, while 36% went to mitigation. The majority of support (86%) was project-based, with a strong focus on creating an 'enabling environment' for climate policy and planning.","ai_generated":true,"unit":"sei-002719#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"From 2010 to 2014, a total of US$748 million in climate finance primarily targeting climate change was committed to 15 Pacific Island countries, representing approximately 6% of all reported flows for the region in the OECD Creditor Reporting System. This funding consisted almost entirely of grants.","ai_generated":true,"unit":"sei-002719#insight-1","date_modified":"2026-10-23"},{"text":"Climate finance was distributed with 59% allocated to adaptation, 36% to mitigation, and 5% targeting both objectives. In the mitigation sector, the largest share of funding was directed toward renewable energy.","ai_generated":true,"unit":"sei-002719#insight-2","date_modified":"2026-10-23"},{"text":"Bilateral channels provided 72% of the total funding, with Australia serving as the largest bilateral donor, followed by Japan, the European Union, and New Zealand. Among multilateral sources up to 2014, the Global Environment Facility (including the GEF Trust Fund and the Least Developed Countries Fund) was the dominant provider.","ai_generated":true,"unit":"sei-002719#insight-3","date_modified":"2026-10-23"},{"text":"Since 2015, there have been significant multilateral allocations, including US$31.1 million from the Pilot Programme for Climate Resilience to Papua New Guinea and Samoa, and US$68 million from the Green Climate Fund to Fiji and Tuvalu, alongside readiness support for Vanuatu, the Federated States of Micronesia, and the Cook Islands.","ai_generated":true,"unit":"sei-002719#insight-4","date_modified":"2026-10-23"},{"text":"The vast majority of climate finance (86%) is delivered as project-based support. Direct budget support is rare, accounting for only 2% (1% general and 1% sector budget support) and was only provided to the Solomon Islands, Vanuatu, and Samoa.","ai_generated":true,"unit":"sei-002719#insight-5","date_modified":"2026-10-23"},{"text":"The largest share of funding across sectors was used to create an \"enabling environment,\" which includes mainstreaming climate change into national planning and developing climate policies. For adaptation specifically, research was the second-largest category of support.","ai_generated":true,"unit":"sei-002719#insight-6","date_modified":"2026-10-23"},{"text":"Regional patterns show that Melanesian countries received the largest total amounts, while Polynesian countries were more successful than Micronesian countries in attracting finance on both a total and per capita basis, utilizing a greater diversity of sources and sectors.","ai_generated":true,"unit":"sei-002719#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate finance","climate change adaptation","climate change mitigation","renewable energy","Green Climate Fund","Global Environment Facility"],"geography_discussed":["Australia","Japan","European Union","New Zealand","Asia"],"frame_perspective":[],"analysis_type":["quantitative analysis","financial flow mapping"]},{"id":"cdkn-000084","url":"https://climateinsightsdirectory.org/document/cdkn-000084","title":"The Plumbing of Adaptation Finance: Accountability, Transparency, and Accessibility at the Local Level","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"research paper","language":"en","date_published":"2013-11-28","source_url":"https://cdkn.org/resource/the-plumbing-of-adaptation-finance-accountability-transparency-and-accessibility-at-the-local-level","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The paper analyzes adaptation finance flows in four developing countries, finding that while governments are the primary recipients, there is a lack of transparency regarding target geographies and project details. It highlights a gap between the formal inclusion of local government in coordination and the actual participation of local stakeholders, while noting that equity and gender considerations are primarily donor-driven.","ai_generated":true,"unit":"cdkn-000084#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 2010 and 2011, adaptation commitments rose in Nepal, Uganda, and Zambia, but decreased in the Philippines. In all four studied nations, the government served as the main recipient of adaptation finance, though the distribution across sectors varied and was hard to align with national priorities.","ai_generated":true,"unit":"cdkn-000084#insight-1","date_modified":"2026-10-23"},{"text":"There is a significant lack of transparency concerning the specific recipients and geographic targets of adaptation finance, and more detail is needed regarding project activities.","ai_generated":true,"unit":"cdkn-000084#insight-2","date_modified":"2026-10-23"},{"text":"While national coordination structures in the four countries include representatives of local government, the mechanisms for local stakeholders to participate remain ill-defined, and there is insufficient data to measure the actual involvement of local communities.","ai_generated":true,"unit":"cdkn-000084#insight-3","date_modified":"2026-10-23"},{"text":"Equity and gender considerations in adaptation finance are largely driven by donors rather than being integrated into national strategies.","ai_generated":true,"unit":"cdkn-000084#insight-4","date_modified":"2026-10-23"}],"climate_tags":["adaptation finace","climate finance","transparency","local government"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["institutional assessment","financial flow mapping"]},{"id":"clipolin-000905","url":"https://climateinsightsdirectory.org/document/clipolin-000905","title":"The Landscape of Climate Finance 2012","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"executive summary","language":"en","date_published":"2012-11","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2012/12/The-Landscape-of-Climate-Finance-2012-Executive-Summary.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Landscape of Climate Finance 2012 estimates that annual global climate finance flows averaged USD 364 billion in 2010/2011, with the private sector providing the majority of funding (USD 217-243 billion). While public finance acted as a catalyst and provided bilateral aid, the total flows remain significantly below the USD 1 trillion annual investment the International Energy Agency projects is necessary to limit global temperature rise to below two degrees Celsius. Mitigation activities, particularly renewable energy and energy efficiency, received the bulk of the funding, with China, Brazil, and India emerging as key recipients. Public intermediaries, including national development banks, played a pivotal role in distributing USD 77 billion and enabling riskier projects through concessional loans and grants.","ai_generated":true,"unit":"clipolin-000905#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Annual global climate finance flows for 2010/2011 are estimated to have reached between USD 343 billion and USD 385 billion, with an average of USD 364 billion. This amount is insufficient to meet the International Energy Agency's projection that incremental energy sector investment must reach approximately USD 1 trillion annually between 2012 and 2050 to keep global temperature rise below two degrees Celsius.","ai_generated":true,"unit":"clipolin-000905#insight-1","date_modified":"2026-10-23"},{"text":"Private finance constitutes the largest portion of climate finance, totaling USD 217-243 billion (63% of the total). Approximately two-thirds of this private finance originated in developed countries, where private actors contributed USD 143 billion.","ai_generated":true,"unit":"clipolin-000905#insight-2","date_modified":"2026-10-23"},{"text":"Public finance flows ranged between USD 16 billion and USD 23 billion. Bilateral Official Development Assistance saw significant growth, increasing from USD 9.5 billion in 2009 to an estimated USD 23 billion in 2010, with fast-start finance pledges accounting for roughly 36% of that 2010 figure.","ai_generated":true,"unit":"clipolin-000905#insight-3","date_modified":"2026-10-23"},{"text":"Public and private intermediaries channeled between USD 110 billion and USD 120 billion. Public intermediaries, including multilateral, bilateral, and national development banks, distributed USD 77 billion, representing about 21% of global flows.","ai_generated":true,"unit":"clipolin-000905#insight-4","date_modified":"2026-10-23"},{"text":"Mitigation activities received USD 350 billion, with 85% of the total funding going to renewable energy generation and 4% to energy efficiency. China, Brazil, and India were the largest recipients of mitigation-directed finance, receiving USD 171 billion, or nearly 33% of the total.","ai_generated":true,"unit":"clipolin-000905#insight-5","date_modified":"2026-10-23"},{"text":"The distribution of climate finance was relatively split between developed and developing countries, with USD 193 billion (53%) allocated to developed countries and USD 172 billion (47%) to developing countries.","ai_generated":true,"unit":"clipolin-000905#insight-6","date_modified":"2026-10-23"},{"text":"Most climate finance (USD 293-347 billion) consists of investments with an ownership interest or claim rather than contributions to incremental costs. Public intermediaries used concessional loans for over 60% of their financing and grants for about 7% to make riskier projects viable.","ai_generated":true,"unit":"clipolin-000905#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate finance","renewable energy","energy efficiency","climate change mitigation","climate change adaptation","sustainable finance","national development bank","multilateral development bank"],"geography_discussed":["People's Republic of China","Brazil","India","United States"],"frame_perspective":[],"analysis_type":["quantitative analysis","financial flow mapping"]}]}