{"query_echo":{"q":"","filters":{"organization":["Climate Policy Initiative"]},"warnings":[]},"total":{"value":1330,"relation":"eq"},"page":14,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?organization=climate-policy-initiative&page=14","next":"https://climateinsightsdirectory.org/api/v1/search?organization=climate-policy-initiative&page=15","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-000920","url":"https://climateinsightsdirectory.org/document/clipolin-000920","title":"Tracking and Mobilizing Private Sector Climate Adaptation Finance","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/Tracking-and-Mobilizing-Private-Sector-Climate-Adaptation-Finance-2024.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"CPI has introduced a bespoke taxonomy and machine learning model to better capture private sector adaptation finance, increasing the annual average tracked flows from USD 1 billion to USD 4.7 billion for the 2019-2022 period. The analysis identifies significant gaps in reporting, particularly among insurers and pension funds, while highlighting that the majority of project-level private investment is concentrated in the water and sanitation sector. The report also estimates that annual consumer and household spending on high-adaptation-likelihood products ranges between USD 48 billion and USD 61 billion.","ai_generated":true,"unit":"clipolin-000920#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The application of a new methodology and bespoke taxonomy increased the annual average of tracked private sector adaptation finance for 2019-2022 from approximately USD 1 billion to USD 4.7 billion.","ai_generated":true,"unit":"clipolin-000920#insight-1","date_modified":"2026-10-23"},{"text":"Project-level private adaptation investment is heavily concentrated in the water and sanitation sector, specifically WASH services, focusing on wastewater treatment, sanitation services, and industrial water reuse.","ai_generated":true,"unit":"clipolin-000920#insight-2","date_modified":"2026-10-23"},{"text":"Analysis of tracked finance shows that 79% of investments have a medium likelihood of being adaptation-relevant, 16% have a low likelihood, and 5% have a high likelihood. Additionally, 27% of tracked finance carries a risk of maladaptation or significant harm.","ai_generated":true,"unit":"clipolin-000920#insight-3","date_modified":"2026-10-23"},{"text":"Venture capital (VC) invested an annual average of USD 6.28 billion in adaptation-related companies between 2019 and 2022, with agrifood systems accounting for 83% of this investment.","ai_generated":true,"unit":"clipolin-000920#insight-4","date_modified":"2026-10-23"},{"text":"Annual consumer and household expenditure on products with a high likelihood of adaptation relevance is estimated to be between USD 48 billion and USD 61 billion.","ai_generated":true,"unit":"clipolin-000920#insight-5","date_modified":"2026-10-23"},{"text":"Commercial banks provided an annual average of USD 2.52 billion in project-level adaptation finance from 2019-2022, with investments heavily concentrated in East Asia and the Pacific.","ai_generated":true,"unit":"clipolin-000920#insight-6","date_modified":"2026-10-23"},{"text":"Corporations contributed an annual average of USD 1.93 billion in project-level investments from 2019-2022, primarily in water and sanitation infrastructure in non-OECD countries, particularly in East Asia and the Pacific.","ai_generated":true,"unit":"clipolin-000920#insight-7","date_modified":"2026-10-23"},{"text":"Significant data gaps persist for insurers and pension funds; no project-level adaptation finance was tracked for either institution type due to a lack of detailed reporting on capital allocation.","ai_generated":true,"unit":"clipolin-000920#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate risk management","maladaptation","nature-based solutions"],"geography_discussed":["East Asia and the Pacific","India","Indonesia","United States","Burkina Faso","Kenya"],"frame_perspective":[],"analysis_type":["methodological development","quantitative analysis","institutional assessment"]},{"id":"clipolin-001042","url":"https://climateinsightsdirectory.org/document/clipolin-001042","title":"The State of Cities Climate Finance 2024","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/CCFLA-State-of-Cities-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Tracked urban climate finance reached USD 831 billion in 2021/2022, more than doubling since 2017/2018. However, this remains severely insufficient compared to estimated annual mitigation needs of USD 4.3 trillion by 2030. Finance is heavily concentrated in developed economies and China, with critical gaps in sub-Saharan Africa and South Asia. While mitigation flows are dominated by transport and buildings, adaptation finance is significantly lower at USD 10 billion, primarily focused on water and wastewater. The report advocates for a '4C Urban Climate Finance Agenda'—Commitment, Collaboration, Capacity, and Capital Mobilization—to bridge the investment gap.","ai_generated":true,"unit":"clipolin-001042#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Tracked urban climate finance flows more than doubled between 2017 and 2022, reaching an annual average of USD 831 billion in 2021/2022.","ai_generated":true,"unit":"clipolin-001042#insight-1","date_modified":"2026-10-23"},{"text":"There is a massive gap between current finance and mitigation needs; cities require an estimated USD 4.3 trillion annually until 2030 and over USD 6 trillion per year from 2031 to 2050 to align with a 1.5°C scenario.","ai_generated":true,"unit":"clipolin-001042#insight-2","date_modified":"2026-10-23"},{"text":"Urban climate finance is highly concentrated in developed economies and China, while flows to other emerging markets and developing economies (EMDEs) and least developed countries (LDCs) are severely insufficient.","ai_generated":true,"unit":"clipolin-001042#insight-3","date_modified":"2026-10-23"},{"text":"Private finance accounted for 49% (USD 404 billion) of total urban climate finance in 2021/2022, with households and individuals being the largest private providers (USD 187 billion), primarily investing in electric cars.","ai_generated":true,"unit":"clipolin-001042#insight-4","date_modified":"2026-10-23"},{"text":"Urban adaptation finance is critically underfunded, reaching only USD 10 billion in 2021/2022, with 68% of these funds directed toward the water and wastewater sector.","ai_generated":true,"unit":"clipolin-001042#insight-5","date_modified":"2026-10-23"},{"text":"Transport is the largest recipient of urban mitigation finance, accounting for 52% (USD 422 billion) of such funds, followed by buildings and infrastructure (29%) and energy systems (19%).","ai_generated":true,"unit":"clipolin-001042#insight-6","date_modified":"2026-10-23"},{"text":"Four systemic challenges hinder the closing of the urban climate finance gap: insufficient commitment to urban action, weak enabling environments, city-level capacity gaps, and inadequate capital mobilization.","ai_generated":true,"unit":"clipolin-001042#insight-7","date_modified":"2026-10-23"},{"text":"The report proposes the '4C Urban Climate Finance Agenda'—Commitment, Collaboration, Capacity, and Capital Mobilization—as a framework to coordinate action across government levels and sectors.","ai_generated":true,"unit":"clipolin-001042#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change mitigation","climate change adaptation","electric vehicle","energy efficiency","photovoltaics","nature-based solutions","climate bond","Blended Finance","just transition","climate risk management"],"geography_discussed":["People's Republic of China","East Asia and the Pacific","Western Europe","US and Canada","South Asia","Middle East and North Africa","sub-Saharan Africa"],"frame_perspective":[],"analysis_type":["financial flow analysis","needs assessment","policy recommendation"]},{"id":"clipolin-001043","url":"https://climateinsightsdirectory.org/document/clipolin-001043","title":"The State of Cities Climate Finance 2024","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"executive summary","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/CCFLA-State-of-Cities-Executive-Summary.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that while urban climate finance more than doubled to USD 831 billion in 2021/2022, it must increase more than fivefold to align with a 1.5°C pathway. Mitigation needs are dominated by transport, energy, and buildings, with a significant financing gap particularly in emerging markets and developing economies (EMDEs). The document identifies systemic challenges including weak enabling environments and city-level capacity gaps, and proposes the '4C Urban Climate Finance Agenda' (Commitment, Collaboration, Capacity, and Capital Mobilization) to scale investment.","ai_generated":true,"unit":"clipolin-001043#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Tracked urban climate finance flows more than doubled from 2017 to 2022, reaching an annual average of USD 831 billion in 2021/2022. Private finance accounted for 49% (USD 404 billion) and public finance for 22% of this total.","ai_generated":true,"unit":"clipolin-001043#insight-1","date_modified":"2026-10-23"},{"text":"Annual urban climate finance must increase by more than five times to meet a 1.5°C climate pathway. For mitigation alone, cities require an estimated USD 4.3 trillion annually until 2030, increasing to over USD 6 trillion per year from 2031 to 2050.","ai_generated":true,"unit":"clipolin-001043#insight-2","date_modified":"2026-10-23"},{"text":"Urban mitigation investment needs are concentrated in three primary sectors: transport (USD 1.7 trillion annually until 2030), energy (USD 1.2 trillion), and buildings and infrastructure (USD 1 trillion).","ai_generated":true,"unit":"clipolin-001043#insight-3","date_modified":"2026-10-23"},{"text":"Climate finance is heavily skewed toward developed economies and China, leaving EMDEs severely underfunded. In 2021/2022, flows to sub-Saharan Africa were USD 5 billion, the Middle East and North Africa were USD 8 billion, and South Asia were USD 17 billion.","ai_generated":true,"unit":"clipolin-001043#insight-4","date_modified":"2026-10-23"},{"text":"Urban adaptation finance is significantly lower than mitigation, reaching USD 10 billion in 2021/2022. Adaptation needs for cities in EMDEs are estimated at USD 147 billion per year until 2030, though these are likely underestimations.","ai_generated":true,"unit":"clipolin-001043#insight-5","date_modified":"2026-10-23"},{"text":"Four systemic challenges hinder the closing of the finance gap: insufficient commitment to urban action, weak enabling environments, city-level capacity gaps, and inadequate capital mobilization.","ai_generated":true,"unit":"clipolin-001043#insight-6","date_modified":"2026-10-23"}],"climate_tags":["climate change mitigation","climate change adaptation","electric vehicle","renewable energy","energy efficiency","urban transport","Blended Finance","climate bond"],"geography_discussed":["Brazil","India","East Asia and the Pacific","Western Europe","US and Canada","South Asia","Middle East and North Africa","sub-Saharan Africa","People's Republic of China","Latin America and Caribbean","Central Asia and Eastern Europe"],"frame_perspective":[],"analysis_type":["financial assessment","gap analysis","policy recommendation"]},{"id":"clipolin-001044","url":"https://climateinsightsdirectory.org/document/clipolin-001044","title":"The State of Cities Climate Finance 2024","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/CCFLA-State-of-Cities-Methodology.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The methodology employs Functional Urban Areas (FUAs) to define urban scope and tracks primary capital flows for mitigation and adaptation. It combines project-level data from sources like the OECD-DAC and BNEF with capital expenditure estimations for transport, buildings, and energy systems. Needs assessments are derived from top-down global models, adjusted by regional urban population shares and sector-specific inclusion criteria.","ai_generated":true,"unit":"clipolin-001044#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The report defines urban climate finance as financial resources used to limit city-induced greenhouse gas (GHG) emissions and address climate-related risks faced by cities.","ai_generated":true,"unit":"clipolin-001044#insight-1","date_modified":"2026-10-23"},{"text":"To ensure consistent comparisons across different administrative boundaries, the methodology uses the concept of Functional Urban Areas (FUAs), which account for the economic and functional scope of cities based on daily human movement.","ai_generated":true,"unit":"clipolin-001044#insight-2","date_modified":"2026-10-23"},{"text":"The tracking methodology excludes several types of finance to avoid double counting and carbon lock-in, including policy-induced revenue support mechanisms (except for electric vehicle subsidies), secondary market transactions, and efficiency retrofits for coal-fired power plants.","ai_generated":true,"unit":"clipolin-001044#insight-3","date_modified":"2026-10-23"},{"text":"Urban climate finance flows are tracked using a combination of project-level data and capital expenditure estimations; for the 2019-2020 period, USD 540.9 billion was tracked, increasing to USD 830.5 billion for 2021-2022.","ai_generated":true,"unit":"clipolin-001044#insight-4","date_modified":"2026-10-23"},{"text":"Project-level tagging for urban relevance utilizes four keyword sets: urban generic inclusion, sector-specific inclusion, a list of approximately 12,000 administrative city names, and non-urban exclusion keywords.","ai_generated":true,"unit":"clipolin-001044#insight-5","date_modified":"2026-10-23"},{"text":"Transport capital expenditure estimations assume that 90% of electric and hydrogen vehicles (including cars, vans, trucks, and buses) and their recharging infrastructure are urban investments.","ai_generated":true,"unit":"clipolin-001044#insight-6","date_modified":"2026-10-23"},{"text":"For buildings and infrastructure, the methodology applies different urban share assumptions by region: 90% for China, 75% for Europe, 80% for the USA, and 80% for the 'Rest of the world'.","ai_generated":true,"unit":"clipolin-001044#insight-7","date_modified":"2026-10-23"},{"text":"Energy systems estimations for small solar panels (under 1MW) use regional urban share proxies, ranging from 25% in Latin America and the Caribbean and South Asia to 80% in most other regions.","ai_generated":true,"unit":"clipolin-001044#insight-8","date_modified":"2026-10-23"},{"text":"The needs assessment methodology uses a 'top-down' approach, applying urban inclusion assumptions to global 1.5°C scenarios; for example, 90% of transport needs are classified as urban.","ai_generated":true,"unit":"clipolin-001044#insight-9","date_modified":"2026-10-23"},{"text":"Adaptation needs are categorized by sub-sector, with river flood needs included at 100% because the underlying model is exclusively urban, while agriculture and terrestrial biodiversity are excluded as mostly rural.","ai_generated":true,"unit":"clipolin-001044#insight-10","date_modified":"2026-10-23"}],"climate_tags":["climate change mitigation","climate change adaptation","electric vehicle","renewable energy","photovoltaics","energy efficiency","heat pump","public transport","green building","district heating"],"geography_discussed":["People's Republic of China","Europe","United States"],"frame_perspective":[],"analysis_type":["methodology"]},{"id":"clipolin-001051","url":"https://climateinsightsdirectory.org/document/clipolin-001051","title":"INSTRUMENT ANALYSIS","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/Clean-Utilities-for-Affordable-Housing_Instrument-Analysis.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Clean Utilities for Affordable Housing instrument aims to raise USD 54 million (ZAR 976 million) to provide renewable energy as a service to affordable housing residents in South Africa. By partnering with major landlords to aggregate demand and using a catalytic subordinated funding vehicle to derisk investments, the model attracts commercial senior debt to fund solar installations. The first phase targets 28,000 housing units over five years, aiming to generate 1,352 GWh of renewable energy and avoid 1,369 ktCO2e. The instrument is designed to be financially sustainable, with a projected Fund internal rate of return (IRR) of 20-30% in the base case, and intends to expand into township retail and the Kenyan market.","ai_generated":true,"unit":"clipolin-001051#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The instrument aims to raise USD 54 million (ZAR 976 million) in concessional and private capital to provide renewable energy services to affordable housing residents in South Africa.","ai_generated":true,"unit":"clipolin-001051#insight-1","date_modified":"2026-10-23"},{"text":"The financial structure utilizes a subordinated funding vehicle to provide credit enhancement for portfolio-tied special purpose vehicles (SPVs), which in turn catalyzes commercial senior debt. The Fund targets a subordinated funding vehicle size of USD 30 million (ZAR 540 million), injecting 40-50% of the capital into utility SPVs.","ai_generated":true,"unit":"clipolin-001051#insight-2","date_modified":"2026-10-23"},{"text":"The first phase targets 28,000 affordable housing units over five years, with an initial proof-of-concept involving three buildings totaling 1,400 units in Johannesburg and Cape Town.","ai_generated":true,"unit":"clipolin-001051#insight-3","date_modified":"2026-10-23"},{"text":"Environmental projections for the first phase include the installation of 65 MWp of solar energy, generating 1,352 GWh of renewable energy and avoiding 1,369 ktCO2e over a 15-year lifecycle.","ai_generated":true,"unit":"clipolin-001051#insight-4","date_modified":"2026-10-23"},{"text":"The model is projected to be financially sustainable, with an operational breakeven in year two and a Fund internal rate of return (IRR) of 20-30% in local currency for the base case.","ai_generated":true,"unit":"clipolin-001051#insight-5","date_modified":"2026-10-23"},{"text":"Social impacts include benefiting approximately 22,200 low- and moderate-income (LMI) households, with 40% (approximately 8,880 to 12,091) estimated to be female-headed households.","ai_generated":true,"unit":"clipolin-001051#insight-6","date_modified":"2026-10-23"},{"text":"The project expects to create over 1,000 green value chain jobs during Phase 1, with 45% of capital expenditures (USD 24 million) consisting of local content.","ai_generated":true,"unit":"clipolin-001051#insight-7","date_modified":"2026-10-23"},{"text":"Future expansion is planned for township retail in South Africa and both affordable housing and retail markets in Kenya, with a total additional investment opportunity of USD 36 million.","ai_generated":true,"unit":"clipolin-001051#insight-8","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","solar energy","affordable housing","Blended Finance","climate finance","just transition","carbon credit","energy efficiency","green job","energy poverty"],"geography_discussed":["Kenya","Johannesburg","Cape Town"],"frame_perspective":[],"analysis_type":["financial modeling","instrument analysis","impact assessment"]},{"id":"clipolin-001068","url":"https://climateinsightsdirectory.org/document/clipolin-001068","title":"Partnering for Finance Adaptation","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/CPI_Partnering-for-Finance-Adaptation.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes the roles of various public development banks (PDBs) in climate adaptation, identifying significant gaps in collaboration between international multilateral development banks (MDBs) and national development banks (NDBs). It highlights barriers such as misaligned project ticket sizes, lack of shared adaptation taxonomies, and local currency risks. To address these, the report recommends developing complementary taxonomies, utilizing country platforms and regional hubs, enhancing capacity-building, and leveraging blended finance to de-risk adaptation investments.","ai_generated":true,"unit":"clipolin-001068#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Adaptation finance significantly lags behind mitigation, with an all-time high of USD 63 billion in 2021/22, representing only 5% of total climate finance. Developing countries are estimated to need USD 212 billion per year in adaptation finance until 2030, and USD 239 billion per year between 2031 and 2050.","ai_generated":true,"unit":"clipolin-001068#insight-1","date_modified":"2026-10-23"},{"text":"Collaboration between MDBs and NDBs on climate finance has been limited; between 2016 and 2023, only USD 7.5 billion in financial transactions were identified, and less than 5% of analyzed collaborations were specifically related to adaptation.","ai_generated":true,"unit":"clipolin-001068#insight-2","date_modified":"2026-10-23"},{"text":"A significant barrier to collaboration is the misalignment of project sizes. MDBs typically target large ticket sizes, whereas climate finance projects in emerging markets and developing economies have an average ticket size below USD 2.2 million, which is one-third of the average in developed countries.","ai_generated":true,"unit":"clipolin-001068#insight-3","date_modified":"2026-10-23"},{"text":"NDBs face internal capacity constraints that hinder adaptation finance, including a lack of tools for comprehensive climate-risk assessments, difficulty in quantifying returns for adaptation projects compared to mitigation, and exposure to currency risk when borrowing in hard currencies for local-currency revenue projects.","ai_generated":true,"unit":"clipolin-001068#insight-4","date_modified":"2026-10-23"},{"text":"The report proposes five recommendations to enhance PDB cooperation: developing complementary taxonomies for shared definitions, using country platforms to align international finance with national needs, establishing regional development banks as adaptation hubs, strengthening capacity-building, and using concessional and blended finance to de-risk investments.","ai_generated":true,"unit":"clipolin-001068#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate finance","climate change adaptation","multilateral development bank","national development bank","Blended Finance","Climate risk assessment","capacity building","disaster risk reduction"],"geography_discussed":["Mexico","Ivory Coast","Benin","Turkey","Africa","Latin America"],"frame_perspective":[],"analysis_type":["policy analysis","financial analysis","case study"]},{"id":"clipolin-001141","url":"https://climateinsightsdirectory.org/document/clipolin-001141","title":"INSTRUMENT ANALYSIS","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/10/Growth-Next-Generation-Agriculture.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Growth Next-Generation Agriculture (GAN) is a proposed BRL 250 million (USD 44.4 million) blended finance debt fund designed to support the transition to regenerative agriculture in Brazil. By providing working capital to small and medium-sized enterprises (SMEs) that produce biological inputs (bio-inputs), GAN enables these SMEs to offer credit to farmers, reducing the sector's reliance on synthetic fertilizers and pesticides. The instrument utilizes a Brazilian financial structure involving Fundo de Investimento em Direitos Creditórios (FIDC) investing in Agricultural Receivables Certificates (CRAs), supported by a proprietary AI credit assessment tool from Traive Finance. The fund includes a technical assistance facility managed by Folio Institute to train farmers and SMEs in regenerative practices. GAN targets environmental outcomes including the transition of 2 million hectares to regenerative practices and the annual avoidance of 2,312 tons of CO2e.","ai_generated":true,"unit":"clipolin-001141#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"GAN is designed as a BRL 250 million (USD 44.4 million) five-year credit fund and technical assistance facility, with a target of raising BRL 250 million for its first demonstration fund to prove commercial viability.","ai_generated":true,"unit":"clipolin-001141#insight-1","date_modified":"2026-10-23"},{"text":"The fund addresses a critical credit gap for biological-input SMEs in Brazil, as traditional financing is dominated by producers of synthetic pesticides and fossil fuel-based fertilizers who control an estimated 47% of the credit market for soybean farmers in Mato Grosso.","ai_generated":true,"unit":"clipolin-001141#insight-2","date_modified":"2026-10-23"},{"text":"GAN employs a blended finance structure consisting of a senior tranche (expected BRL 200 million) and a junior tranche (BRL 50 million), using a Fundo de Investimento em Direitos Creditórios (FIDC) to invest in Agricultural Receivables Certificates (CRAs).","ai_generated":true,"unit":"clipolin-001141#insight-3","date_modified":"2026-10-23"},{"text":"To mitigate the perceived high risk of the bio-input market, GAN uses a proprietary AI credit assessment tool developed by Traive and implements a 20% first-loss tranche composed of ordinary and synthetic junior tranches.","ai_generated":true,"unit":"clipolin-001141#insight-4","date_modified":"2026-10-23"},{"text":"The fund's environmental targets include transitioning 2 million hectares of land to regenerative practices, avoiding 1,000 tons of artificial pesticides and fertilizers, and avoiding 2,312 tons of CO2e annually.","ai_generated":true,"unit":"clipolin-001141#insight-5","date_modified":"2026-10-23"},{"text":"Financial modeling suggests that in a base-case scenario with a 5% realized loss rate, the senior tranche would receive a return of 4.0% above the DI (benchmark rate) and the junior tranche 1.3% above DI.","ai_generated":true,"unit":"clipolin-001141#insight-6","date_modified":"2026-10-23"},{"text":"The fund focuses its geographic scope on the Cerrado and Amazon biomes in Brazil, where farmers are particularly vulnerable to chronic drought, unpredictable flooding, and prolonged heatwaves.","ai_generated":true,"unit":"clipolin-001141#insight-7","date_modified":"2026-10-23"}],"climate_tags":["regenerative agriculture","climate resilience","Blended Finance","greenhouse gas emissions","carbon sequestration","climate change adaptation"],"geography_discussed":["Latin America","Mato Grosso","Mexico"],"frame_perspective":[],"analysis_type":["instrument analysis","financial modeling","impact assessment"]},{"id":"clipolin-001157","url":"https://climateinsightsdirectory.org/document/clipolin-001157","title":"INVESTHER CLIMATE RESILIENCE BOND","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/InvestHer-Climate-Resilience-Bond_Instrument-Analysis.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The InvestHER Climate Resilience Bond is Uganda's first gender-focused resilience bond, designed to raise USD 25 million in local currency to close the gender gap in the agrifood system. The instrument targets growth-stage agri-SMEs and local financial service providers (FSPs) to increase the adoption of climate-smart agriculture (CSA) among women farmers. It utilizes a dual-tranche structure (commercial and concessional) and a grant-funded technical assistance (TA) facility to address barriers such as high collateral requirements and lack of female-tailored financial products. The bond aims to reach approximately 3,825 agri-MSMEs, with nearly 100% being women-owned or led, and impact 470,000 hectares of farmland.","ai_generated":true,"unit":"clipolin-001157#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The InvestHER Climate Resilience Bond is the first gender-focused resilience bond in Uganda and the first in Africa specifically targeting sustainable agrifood systems.","ai_generated":true,"unit":"clipolin-001157#insight-1","date_modified":"2026-10-23"},{"text":"The bond aims to raise USD 25 million in local currency (Ugandan Shillings) to fund growth-stage agri-SMEs and local financial service providers (FSPs) that on-lend to rural women-led agri-MSMEs.","ai_generated":true,"unit":"clipolin-001157#insight-2","date_modified":"2026-10-23"},{"text":"The instrument employs a dual-tranche structure consisting of one commercial tranche and one concessional tranche, incorporating a guarantee mechanism to reduce investor risk and lower coupon payments.","ai_generated":true,"unit":"clipolin-001157#insight-3","date_modified":"2026-10-23"},{"text":"A grant-funded technical assistance (TA) facility will support bond design, risk monitoring, and the mainstreaming of gender and climate resilience for FSPs and business development service providers (BDSPs).","ai_generated":true,"unit":"clipolin-001157#insight-4","date_modified":"2026-10-23"},{"text":"The bond targets the removal of specific barriers for Ugandan women, including the lack of female-tailored financial products, limited access to climate-smart agriculture (CSA) training, and high transaction costs for rural outreach.","ai_generated":true,"unit":"clipolin-001157#insight-5","date_modified":"2026-10-23"},{"text":"Quantitative modeling indicates that the issuer could generate a profit of USD 7.7 million by the end of the transaction, with an internal rate of return (IRR) of approximately 9.66% if financed from the balance sheet.","ai_generated":true,"unit":"clipolin-001157#insight-6","date_modified":"2026-10-23"},{"text":"Environmental impact is pursued through the promotion of CSA practices such as organic fertilizers, solar-powered irrigation pumps, climate-resilient crop varieties, and early warning systems.","ai_generated":true,"unit":"clipolin-001157#insight-7","date_modified":"2026-10-23"},{"text":"Following the initial Uganda issuance, the Grameen Foundation plans to replicate the bond model in Ghana and the Philippines, with Nigeria and Kenya identified as potential future expansion markets.","ai_generated":true,"unit":"clipolin-001157#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate resilience","sustainable agriculture","Climate-smart agriculture","climate finance","climate change adaptation"],"geography_discussed":["Ghana","Philippines","Kenya","Nigeria"],"frame_perspective":[],"analysis_type":["instrument analysis","financial modeling","impact assessment"]},{"id":"clipolin-001209","url":"https://climateinsightsdirectory.org/document/clipolin-001209","title":"A Roadmap for Green and Transition Finance in India","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/ORF-and-CPI-Compendium.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that India requires cumulative investments of US$10.1 trillion by 2070 to reach net-zero, yet current tracked mitigation finance is only about 25 percent of the required amount. It distinguishes between 'green finance' for near-zero emission technologies and 'transition finance' for hard-to-abate sectors that lack immediate green alternatives. The document identifies critical gaps in the supply of finance, noting a lack of standardised taxonomy and an underdeveloped corporate bond market. On the demand side, it analyses the decarbonisation needs of the steel, cement, transport, power, and agriculture sectors, highlighting the high capital costs and technical risks of transformative technologies like Carbon Capture, Utilisation, and Storage (CCUS). The report proposes a five-pillar roadmap covering scope and definition, transparency, cooperation, supply chain support, and financial innovation, while recommending the establishment of a Prime Ministers Net Zero Council (PMNZC) to coordinate inter-ministerial efforts.","ai_generated":true,"unit":"clipolin-001209#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India faces a massive investment gap for its climate goals, requiring cumulative investments of US$10.1 trillion by 2070, while current tracked finance for mitigation is only approximately 25 percent of the total required.","ai_generated":true,"unit":"clipolin-001209#insight-1","date_modified":"2026-10-23"},{"text":"Transition finance is distinct from green finance as it targets sectors that are 'hard-to-abate' and cannot be green in the short term due to technical or economic constraints, whereas green finance focuses on technologies already aligned with the Paris Agreement.","ai_generated":true,"unit":"clipolin-001209#insight-2","date_modified":"2026-10-23"},{"text":"The Indian steel sector, the world's second largest producer, is highly carbon-intensive, with the coal-based BF-BOF route accounting for approximately 46 percent of production and an emissions intensity of 2.46 tCO2/tcs.","ai_generated":true,"unit":"clipolin-001209#insight-3","date_modified":"2026-10-23"},{"text":"Decarbonising the cement industry requires a shift toward transformative technologies to address the 70-75 percent of emissions arising from calcination, as current efficiency measures can only reduce emissions by 15-20 percent.","ai_generated":true,"unit":"clipolin-001209#insight-4","date_modified":"2026-10-23"},{"text":"The transport sector's transition is driven by electric vehicle (EV) growth, with NITI Aayog projecting EV penetration in domestic sales to rise to 13\u001315 percent for two-wheelers and 26\u001328 percent for three-wheelers by FY 2026.","ai_generated":true,"unit":"clipolin-001209#insight-5","date_modified":"2026-10-23"},{"text":"India's power sector transition involves a strategic shift for thermal assets from base-load providers to flexibility and grid-stability providers, requiring retrofits like Condensate Throttling Systems (CTS) and conversion to synchronous condensers.","ai_generated":true,"unit":"clipolin-001209#insight-6","date_modified":"2026-10-23"},{"text":"Agriculture accounts for 14 percent of India's total GHG emissions, with enteric fermentation contributing over 54 percent of these emissions.","ai_generated":true,"unit":"clipolin-001209#insight-7","date_modified":"2026-10-23"},{"text":"MSMEs contribute over 30 percent of India's GDP and generate around 110 million tonnes of CO2 equivalent annually, yet they lack formal transition plans and access to credit.","ai_generated":true,"unit":"clipolin-001209#insight-8","date_modified":"2026-10-23"},{"text":"The Indian corporate bond market is underdeveloped, which hinders the raising of transition finance; however, GIFT City has emerged as a hub with green bond listings exceeding US$10 billion as of end December 2023.","ai_generated":true,"unit":"clipolin-001209#insight-9","date_modified":"2026-10-23"},{"text":"Securitisation of transition loans in India is currently limited because the market is dominated by retail loans and lacks a universally accepted definition of transition finance, though it could be viable for MSME loans in the future.","ai_generated":true,"unit":"clipolin-001209#insight-10","date_modified":"2026-10-23"}],"climate_tags":["sustainable finance","transition finance","Hard to abate sectors","Net-zero emissions","electric vehicle","renewable energy","Blended Finance","Grid decarbonization","climate bond"],"geography_discussed":["European Union","United States","People's Republic of China","Singapore","Germany","Delhi","Tamil Nadu"],"frame_perspective":[],"analysis_type":["policy analysis","financial assessment","sectoral study","roadmap"]},{"id":"clipolin-001235","url":"https://climateinsightsdirectory.org/document/clipolin-001235","title":"INSTRUMENT ANALYSIS","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"briefing","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/Regenera-Ventures-Fund_Instrument-Analysis.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Regenera Ventures is a 10-year equity fund targeting the Mexican agricultural sector to build climate resilience through regenerative management. The fund utilizes redeemable equity and technical assistance to bridge financing gaps for SMEs and startups across the regenerative value chain, including direct production, added-value processes, market game-changers, and regenerative infrastructure. It aims to mobilize USD 20-26 million in private capital and plans to scale to other Latin American countries, such as Colombia, within 4 to 5 years.","ai_generated":true,"unit":"clipolin-001235#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Regenera Ventures is structured as a USD 20-30 million equity fund with a 10-year term and a two-year extension option, utilizing a limited partner-general partner (LP-GP) structure.","ai_generated":true,"unit":"clipolin-001235#insight-1","date_modified":"2026-10-23"},{"text":"The fund primarily employs redeemable equity, a results-based financing mechanism where companies receive an equity-like investment and later repurchase shares using returns generated from the transition to regenerative management.","ai_generated":true,"unit":"clipolin-001235#insight-2","date_modified":"2026-10-23"},{"text":"The fund targets four specific investment verticals in the regenerative value chain: direct production engagement, added-value processes, market game-changers, and regenerative infrastructure.","ai_generated":true,"unit":"clipolin-001235#insight-3","date_modified":"2026-10-23"},{"text":"Quantitative modeling indicates that redeemable equity provides higher profitability ratios and better liquidity in the first three years compared to debt financing, as there is no immediate repayment burden.","ai_generated":true,"unit":"clipolin-001235#insight-4","date_modified":"2026-10-23"},{"text":"The fund has the potential to mobilize between USD 20-26 million in private capital and aims to de-risk equity-type investments by improving liquidity and reducing reliance on secondary market buyers for exits.","ai_generated":true,"unit":"clipolin-001235#insight-5","date_modified":"2026-10-23"},{"text":"The fund's climate impact strategy focuses on four priority areas: improving soil health and cleaning water for adaptation, and reducing pesticide usage and waste/energy consumption for mitigation.","ai_generated":true,"unit":"clipolin-001235#insight-6","date_modified":"2026-10-23"},{"text":"While the first fund focuses exclusively on Mexico, the model is designed for replication in other Latin American countries, specifically Colombia, within a 4 to 5 year timeframe.","ai_generated":true,"unit":"clipolin-001235#insight-7","date_modified":"2026-10-23"}],"climate_tags":["regenerative agriculture","climate resilience","climate finance","sustainable agriculture","agroforestry","carbon sequestration","biodiversity"],"geography_discussed":["Latin America","Colombia","Oaxaca","Chiapas","Yucatan Peninsula"],"frame_perspective":[],"analysis_type":["instrument analysis","financial modeling","impact assessment"]},{"id":"clipolin-001242","url":"https://climateinsightsdirectory.org/document/clipolin-001242","title":"INSTRUMENT ANALYSIS SEPTEMBER 2024 RESILIENT MUNICIPAL MARKET FUND (REMARK)","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/Resilient-Municipal-Market-Fund_Instrument-Analysis.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Resilient Municipal Market Fund (ReMark) is a proposed blended finance facility designed to address the lack of investment in African urban food markets, which are critical to food security but vulnerable to climate risks. The instrument combines a revolving debt facility for capital expenditure loans (USD 0.5-10 million) and a technical assistance (TA) facility managed by ICLEI Africa to prepare markets for investment. The pilot phase targets six municipalities in East and Southern Africa with a total budget of approximately USD 35 million, including USD 30 million in debt and repayable grants and USD 5 million in TA grants. ReMark categorizes markets into three types (A, B, and C) based on financial maturity, proposing different pathways to bankability, including a Special Purpose Vehicle (SPV) structure for the most challenged markets. Planned retrofits include cold storage, off-grid solar PV, and improved drainage to reduce food waste and greenhouse gas emissions.","ai_generated":true,"unit":"clipolin-001242#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"ReMark is designed as a blended finance facility that provides a revolving debt facility for resiliency retrofits and a TA facility for project preparation. The debt facility issues CAPEX loans ranging from USD 0.5-10 million to highly and moderately functioning markets.","ai_generated":true,"unit":"clipolin-001242#insight-1","date_modified":"2026-10-23"},{"text":"The instrument classifies urban food markets into three types based on revenue and financial maturity: Type A (high-functioning, annual revenue  USD 10 million), Type B (moderately functioning, annual revenue  USD 500,000), and Type C (challenged, annual revenue < USD 500,000).","ai_generated":true,"unit":"clipolin-001242#insight-2","date_modified":"2026-10-23"},{"text":"For Type C markets that are ineligible for direct borrowing, ReMark proposes a public-private partnership (PPP) using a project financing special purpose vehicle (SPV) to ringfence cash flows from upgrades to service debt.","ai_generated":true,"unit":"clipolin-001242#insight-3","date_modified":"2026-10-23"},{"text":"The pilot phase aims for a total investment of approximately USD 35 million, structured as USD 9 million in senior debt, USD 12 million in subordinate debt, USD 9 million in repayable grants, and over USD 5 million in working capital and TA grants.","ai_generated":true,"unit":"clipolin-001242#insight-4","date_modified":"2026-10-23"},{"text":"Quantitative modeling for specific upgrades shows that cold storage can yield an investor internal rate of return (IRR) of 23.58%, while solar PV provides a more modest IRR of 4.38%.","ai_generated":true,"unit":"clipolin-001242#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate resilience","Blended Finance","renewable energy","photovoltaics","food waste","methane emissions","urban infrastructure","adaptation finace","greenhouse gas emissions","sustainable agriculture"],"geography_discussed":["Kenya","Mozambique","South Africa","Uganda","Malawi"],"frame_perspective":[],"analysis_type":["instrument analysis","financial modeling","implementation planning"]},{"id":"clipolin-001273","url":"https://climateinsightsdirectory.org/document/clipolin-001273","title":"INSTRUMENT ANALYSIS SEPTEMBER 2024 SPV FOR SILVOPASTURE SCALING","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/SPV-for-Silvopasture-Scaling_Instrument-Analysis.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The SPV for Silvopasture Scaling aims to transition medium-sized Colombian cattle farms from conventional to sustainable practices by providing capital and technical assistance. It utilizes a profit-sharing model based on productivity gains and the sale of carbon credits to avoid the debt-aversion barriers typical of traditional loans. The instrument is structured into three facilities: SPS Implementation, Carbon Credit, and Technical Assistance. A pilot in El Cesar will test the model before potential scaling to other regions of Colombia and countries like Brazil and Mexico.","ai_generated":true,"unit":"clipolin-001273#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The SPV addresses financial barriers for medium-sized ranchers by replacing traditional loans with profit-sharing agreements based on productivity gains, which aligns with the local 'cuentas en participación' scheme.","ai_generated":true,"unit":"clipolin-001273#insight-1","date_modified":"2026-10-23"},{"text":"The instrument is structured into three distinct facilities: an SPS Facility for on-farm implementation, a Carbon Credit Facility to aggregate and sell credits, and a Technical Assistance Facility funded by grants to provide five years of support.","ai_generated":true,"unit":"clipolin-001273#insight-2","date_modified":"2026-10-23"},{"text":"The total estimated cost of the vehicle is USD 97 million, with an initial funding requirement of USD 59 million and a planned reinvestment of USD 37 million from productivity gains.","ai_generated":true,"unit":"clipolin-001273#insight-3","date_modified":"2026-10-23"},{"text":"Financial projections estimate total revenues of USD 247 million, with productivity gains contributing USD 165 million (67%) and carbon credits contributing USD 82 million (33%), resulting in a projected IRR of 14%.","ai_generated":true,"unit":"clipolin-001273#insight-4","date_modified":"2026-10-23"},{"text":"The SPV targets 59,000 hectares in El Cesar, Colombia, and expects to avoid or reduce 1.2 MtCO2e through the implementation of silvopastoral systems.","ai_generated":true,"unit":"clipolin-001273#insight-5","date_modified":"2026-10-23"},{"text":"The project aims to improve rural resilience and productivity, citing evidence from the MSCR project where SPS led to a 25% increase in milk production, a 26% increase in animal load, and a 9% reduction in production costs.","ai_generated":true,"unit":"clipolin-001273#insight-6","date_modified":"2026-10-23"}],"climate_tags":["regenerative agriculture","carbon credit","climate finance","methane emissions","carbon sequestration","land degradation","climate change adaptation","nature-based solutions"],"geography_discussed":["Mexico","Brazil","Latin America and the Caribbean"],"frame_perspective":[],"analysis_type":["instrument analysis","financial modeling","impact assessment"]},{"id":"clipolin-001277","url":"https://climateinsightsdirectory.org/document/clipolin-001277","title":"INSTRUMENT ANALYSIS SEPTEMBER 2024 STRUCTURED FINANCE FOR NATURE","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"briefing","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/Structured-Finance-for-Nature_Instrument-Analysis.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Structured Finance for Nature (SFN) instrument uses a Special Purpose Vehicle (SPV) in Singapore to aggregate a diversified portfolio of natural assets, combining equity, mezzanine finance, and green bonds. It aims to overcome barriers such as high upfront costs and small project sizes to protect and restore one million hectares of forest and wetlands. The pilot project in Agusan del Sur, Philippines, focuses on protecting 91,000 hectares of forest, with future expansions planned for Cambodia, Bhutan, and Indonesia. The model emphasizes high-integrity carbon credits, a 20% minimum benefit-sharing allocation for local and Indigenous communities, and real-time monitoring via a proprietary dashboard.","ai_generated":true,"unit":"clipolin-001277#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The SFN instrument aims to raise USD 100 million in private capital to protect and restore one million hectares of ecosystems in the Philippines, Indonesia, Cambodia, and Bhutan.","ai_generated":true,"unit":"clipolin-001277#insight-1","date_modified":"2026-10-23"},{"text":"The financial structure utilizes a blended capital stack consisting of approximately 25% equity, 25% mezzanine finance, and 50% green bonds, managed through a Special Purpose Vehicle (SPV) based in Singapore.","ai_generated":true,"unit":"clipolin-001277#insight-2","date_modified":"2026-10-23"},{"text":"The Agusan pilot project in the Philippines targets the restoration of 91,000 hectares of forest to protect the Agusan Marsh Wildlife Sanctuary, with an expected total of 12 million tCO2e in avoided emissions and removals over 40 years.","ai_generated":true,"unit":"clipolin-001277#insight-3","date_modified":"2026-10-23"},{"text":"SFN implements a benefit-sharing mechanism that allocates a minimum of 20% of all free cash flow (equity distributions) to local and Indigenous communities.","ai_generated":true,"unit":"clipolin-001277#insight-4","date_modified":"2026-10-23"},{"text":"The portfolio strategy prioritizes the protection of intact ecosystems, committing 60% of the portfolio to these areas to address biodiversity loss and habitat fragmentation.","ai_generated":true,"unit":"clipolin-001277#insight-5","date_modified":"2026-10-23"},{"text":"To mitigate integrity risks and ensure transparency, SFN uses a proprietary dashboard that monitors over 140 unique data points across each asset in real-time.","ai_generated":true,"unit":"clipolin-001277#insight-6","date_modified":"2026-10-23"},{"text":"The full portfolio is estimated to avoid approximately 2.5 million tCO2e and remove over 200,000 tCO2e annually, while protecting around 400 endangered and vulnerable species.","ai_generated":true,"unit":"clipolin-001277#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate bond","equity","nature-based solutions","ecological restoration","forest conservation","biodiversity protection","carbon credit","Reducing emissions from deforestation and forest degradation","indigenous rights","climate finance","carbon dioxide removal","peatland restoration"],"geography_discussed":["Singapore","Indonesia","Cambodia","Bhutan","Southeast Asia","South Asia"],"frame_perspective":[],"analysis_type":["instrument analysis","financial modeling","impact assessment"]},{"id":"clipolin-001281","url":"https://climateinsightsdirectory.org/document/clipolin-001281","title":"INSTRUMENT ANALYSIS","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"briefing","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/Sustana-Cooling-India-Fund.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Sustana Cooling India Fund is a USD 100 million blended capital equity fund designed to support early-growth companies in India's cooling sector. By utilizing a first-loss cushion and combining senior and subordinated equity, the fund aims to de-risk investments in energy-efficient space cooling and cold supply chains. The instrument targets the 'missing middle' of funding (pre-Series A/B stages) to drive both climate mitigation and adaptation, with a projected return of 18.04% in USD terms for limited partners.","ai_generated":true,"unit":"clipolin-001281#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Sustana Cooling India Fund is a USD 100 million blended capital equity fund targeting early-growth stage companies in India, with a first close target of USD 50 million.","ai_generated":true,"unit":"clipolin-001281#insight-1","date_modified":"2026-10-23"},{"text":"The fund employs a blended finance structure featuring senior equity for private investors, subordinated equity for development finance institutions (DFIs) and climate funds, and a first-loss cushion funded by philanthropies and impact investors to attract risk-averse private capital.","ai_generated":true,"unit":"clipolin-001281#insight-2","date_modified":"2026-10-23"},{"text":"The instrument specifically targets the 'missing middle' of funding, focusing on startups in the initial traction to early growth phase between pre-Series A and Series B stages, aiming to support 15-30 companies.","ai_generated":true,"unit":"clipolin-001281#insight-3","date_modified":"2026-10-23"},{"text":"The fund's financial model indicates that the inclusion of concessional equity as a partial lever can generate a return of 18.04% in USD terms for Limited Partners (LPs).","ai_generated":true,"unit":"clipolin-001281#insight-4","date_modified":"2026-10-23"},{"text":"The fund addresses critical gaps in India's cooling sector, where demand is projected to increase eight-fold by 2038, and where inefficient solutions could increase total emissions by 10%.","ai_generated":true,"unit":"clipolin-001281#insight-5","date_modified":"2026-10-23"},{"text":"Beyond equity, the fund includes a technical advisory (TA) facility funded by donor grants to assist portfolio companies with market assessments, business process improvement, and staff training.","ai_generated":true,"unit":"clipolin-001281#insight-6","date_modified":"2026-10-23"},{"text":"The fund's dual focus on adaptation and mitigation targets outcomes such as reducing food wastage by 0.1 million tonnes and providing incremental cooling access to 1 million people, including 400,000 women.","ai_generated":true,"unit":"clipolin-001281#insight-7","date_modified":"2026-10-23"}],"climate_tags":["energy efficiency","passive cooling","Blended Finance","climate change adaptation","climate change mitigation","greenhouse gas emissions","climate finance"],"geography_discussed":["East Africa","Kenya","El Salvador","Panama"],"frame_perspective":[],"analysis_type":["instrument analysis","financial modeling"]},{"id":"clipolin-001285","url":"https://climateinsightsdirectory.org/document/clipolin-001285","title":"INSTRUMENT ANALYSIS","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"briefing","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/10/The-Amazon-FoodForest-Bioeconomy-Financing-Initiative.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Amazon Food&Forest Bioeconomy Financing Initiative addresses financial barriers facing Indigenous Peoples and Local Communities (IPLCs) in the Brazilian Amazon through a proprietary fintech platform and a blended finance structure. The initiative combines private debentures (senior and subordinated tranches) with a philanthropic fund to provide growth capital and discounted invoices to regenerative businesses. Currently in a pilot phase with 17 projects and USD 2.7 million deployed, the initiative aims to raise USD 23.12 million in its market phase to scale activities across value chains such as non-timber forest products (NTFPs), community-based tourism, and agroforestry. The goal is to mitigate land-use emissions, protect biodiversity, and improve local livelihoods while attracting commercial private capital to the region's socio-bioeconomy.","ai_generated":true,"unit":"clipolin-001285#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Amazon rainforest is the primary source of greenhouse gas emissions in Brazil, accounting for 48% of total national emissions and 79% of emissions within Amazonian states.","ai_generated":true,"unit":"clipolin-001285#insight-1","date_modified":"2026-10-23"},{"text":"Significant financial gaps exist in the Brazilian Amazon's bioeconomy; while the gross output value of 13 key native products is USD 5.1 billion, annual financing between 2021 and 2023 averaged only USD 0.3 billion.","ai_generated":true,"unit":"clipolin-001285#insight-2","date_modified":"2026-10-23"},{"text":"The initiative utilizes a blended finance structure consisting of private debentures with a senior tranche for commercial/impact investors and a subordinated tranche for concessional investors, supported by a philanthropic fund that covers setup costs, operational expenses, and a loan loss reserve.","ai_generated":true,"unit":"clipolin-001285#insight-3","date_modified":"2026-10-23"},{"text":"The initiative is currently in a pilot phase with 17 projects across conservation units and IPLC lands, having deployed USD 2.7 million to test value chains including agroforestry, community-based tourism, NTFPs, indigenous handicrafts, payment for environmental services, and productive infrastructure.","ai_generated":true,"unit":"clipolin-001285#insight-4","date_modified":"2026-10-23"},{"text":"Pilot results demonstrate the effectiveness of using escrow accounts to reduce defaults; in one case study involving 10 rubber tapper associations, eight associations using Impact Bank's escrow accounts had zero defaults.","ai_generated":true,"unit":"clipolin-001285#insight-5","date_modified":"2026-10-23"},{"text":"The market phase of the initiative aims to raise USD 23.12 million, targeting a mix of 50% commercial and impact capital and 15% to 35% concessional debt for the first-loss tranche.","ai_generated":true,"unit":"clipolin-001285#insight-6","date_modified":"2026-10-23"},{"text":"Environmental estimates for the pilot projects include the avoidance of 1,557,839 tCo2eq in land-use emissions and the protection of 647,102 hectares of forest from deforestation.","ai_generated":true,"unit":"clipolin-001285#insight-7","date_modified":"2026-10-23"},{"text":"Socio-economic impacts from the pilot phase include a 136.34% increase in revenue for 1,820 impacted families and a 191.4% revenue increase for 32 local MSMEs.","ai_generated":true,"unit":"clipolin-001285#insight-8","date_modified":"2026-10-23"}],"climate_tags":["Blended Finance","land use","sustainable agriculture","forestry","climate change mitigation","climate change adaptation","indigenous people","deforestation","greenhouse gas emissions"],"geography_discussed":["Peru","Ecuador","Colombia"],"frame_perspective":[],"analysis_type":["instrument analysis","financial modeling","impact assessment"]},{"id":"clipolin-001291","url":"https://climateinsightsdirectory.org/document/clipolin-001291","title":"INSTRUMENT ANALYSIS","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"briefing","language":"en","date_published":"2024-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/09/The-Landbanking-Group_Instrument-Analysis.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Landbanking Group (TLG) is introducing Nature Equity Assets (NEAs), a new asset class that uses real-time Measuring, Reporting, and Verification (MRV) technology to value the ecological uplift of High Integrity Forests (HIFs) and regenerative agriculture. The instrument employs a blended finance approach, providing discounted loans to land stewards—primarily Indigenous Peoples and Local Communities (IPLCs)—who repay the capital through commodity sales and outcome-based payments from corporate or government funders. Initial pilot projects are targeting the soy and cacao value chains in Brazil, with future expansions planned for Africa, Latin America, and Asia. Quantitative modeling suggests that regenerative agriculture is more profitable for land stewards than conventional methods, though standalone conservation projects currently require concessional grants to be viable.","ai_generated":true,"unit":"clipolin-001291#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Landbanking Group is creating a new asset class called Nature Equity Assets (NEAs) that assigns financial value to the uplift of biodiversity, carbon, soil, and water on specific polygons of land, allowing these assets to be held on corporate balance sheets.","ai_generated":true,"unit":"clipolin-001291#insight-1","date_modified":"2026-10-23"},{"text":"The instrument utilizes a blended finance structure consisting of senior (commercial), subordinate (concessional), and first-loss tranches to provide discounted loans to land stewards.","ai_generated":true,"unit":"clipolin-001291#insight-2","date_modified":"2026-10-23"},{"text":"Initial implementation is focused on Brazil, specifically targeting the soy and cacao value chains in the Amazon Biome to create buffer zones between agricultural expansion and High Integrity Forests.","ai_generated":true,"unit":"clipolin-001291#insight-3","date_modified":"2026-10-23"},{"text":"Quantitative analysis indicates that regenerative agriculture is more profitable for land stewards than conventional agriculture, with an illustrative internal rate of return (IRR) of 20-25% compared to 2% to -7% for conventional systems, and a payback period reduced from 14 to 7 years.","ai_generated":true,"unit":"clipolin-001291#insight-4","date_modified":"2026-10-23"},{"text":"While projects integrated with value chains are commercially viable, standalone conservation projects ('full ecosystem services') currently require concessional capital or price subsidies because current NEA pricing is insufficient to support them.","ai_generated":true,"unit":"clipolin-001291#insight-5","date_modified":"2026-10-23"},{"text":"The instrument specifically targets the financial inclusion of Indigenous Peoples and Local Communities (IPLCs), who act as land stewards and currently receive only 1% of climate finance flows.","ai_generated":true,"unit":"clipolin-001291#insight-6","date_modified":"2026-10-23"},{"text":"The Landler Platform provides the technical foundation for the instrument, using earth observation, remote sensing, and in-situ data (such as eDNA and bio-acoustics) to monitor natural capital stocks in real time.","ai_generated":true,"unit":"clipolin-001291#insight-7","date_modified":"2026-10-23"}],"climate_tags":["regenerative agriculture","biodiversity","carbon sequestration","Blended Finance","measurement, reporting, and verification","climate finance","indigenous people","agroforestry","water management"],"geography_discussed":["Africa","Latin America","Malawi","Democratic Republic of the Congo","Republic of the Congo","Chad"],"frame_perspective":[],"analysis_type":["instrument analysis","financial modeling"]},{"id":"clipolin-000391","url":"https://climateinsightsdirectory.org/document/clipolin-000391","title":"Carbon Rating Framework","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-08","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/08/Carbon-Rating-Framework.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that current credit ratings and ESG frameworks fail to adequately measure a company's environmental impact, creating a gap that hinders transition finance for hard-to-abate sectors like steel and cement. To address this, the Climate Policy Initiative proposes a Carbon Rating Framework that evaluates a company's carbon emission intensity over a three-to-five-year horizon. The framework suggests a weighted approach combining past emission intensity (indicatively 70%) and projected future intensity (indicatively 30%), the latter being a function of projected emissions and revenue. The authors propose a 10-point rating scale based on the distribution of carbon intensity among companies reporting under SEBI's Business Responsibility & Sustainability Report (BRSR). The framework focuses on Scope 1 and Scope 2 emissions at the company level and suggests a composite rating system to account for sector-specific challenges in hard-to-abate industries.","ai_generated":true,"unit":"clipolin-000391#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Current credit rating systems are insufficient for enabling transition finance because they focus on debt repayment capacity and do not measure emissions intensity, which can lead to the unintended consequence of discouraging investment in climate-positive businesses due to perceived higher risks associated with new technologies.","ai_generated":true,"unit":"clipolin-000391#insight-1","date_modified":"2026-10-23"},{"text":"Existing climate-related financial products are categorized into risk, alignment, compliance, and impact; however, most current tools focus on the risks climate change poses to a company (single materiality) rather than the company's impact on the environment (double materiality).","ai_generated":true,"unit":"clipolin-000391#insight-2","date_modified":"2026-10-23"},{"text":"India faces a significant investment gap for hard-to-abate sectors such as steel and cement, with total climate action financial flows currently representing only 25% of the estimated USD 2.5 trillion needed by 2030 for its Nationally Determined Contribution (NDC).","ai_generated":true,"unit":"clipolin-000391#insight-3","date_modified":"2026-10-23"},{"text":"The proposed Carbon Rating Framework evaluates companies based on a weighted average of past and projected emission intensity, suggesting an initial split of 70% for past data and 30% for future projections, with the latter potentially discounted by year to reflect the time value of carbon.","ai_generated":true,"unit":"clipolin-000391#insight-4","date_modified":"2026-10-23"},{"text":"Projected future emission intensity is calculated as the ratio of projected future emissions to projected future revenue, where emissions are determined by quantitative factors (e.g., investments in reduction efforts) and qualitative factors (e.g., management commitment and technology availability).","ai_generated":true,"unit":"clipolin-000391#insight-5","date_modified":"2026-10-23"},{"text":"The framework suggests a 10-point rating scale calibrated against the distribution of carbon intensity of Indian companies that publish Business Responsibility & Sustainability Reports (BRSR), where the lowest 5th percentile of emission intensity receives the highest rating.","ai_generated":true,"unit":"clipolin-000391#insight-6","date_modified":"2026-10-23"},{"text":"To prevent hard-to-abate sectors from being unfairly penalized by a common rating scale, the framework considers a composite two-part rating (e.g., CR7-a) that includes a sector-specific sub-scale.","ai_generated":true,"unit":"clipolin-000391#insight-7","date_modified":"2026-10-23"}],"climate_tags":["transition finance","emission intensity","Hard to abate sectors","climate finance","Scope 2","Paris Agreement","Nationally Determined Contributions","Net-zero emissions"],"geography_discussed":["World"],"frame_perspective":[],"analysis_type":["framework proposal","policy analysis"]},{"id":"clipolin-000448","url":"https://climateinsightsdirectory.org/document/clipolin-000448","title":"Managing Currency Risk to Catalyze Climate Finance","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2024-08","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/08/Currency-Risk-Report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies currency risk—specifically the mismatch between local currency revenues and hard currency debt—as a primary barrier to climate investment in EMDEs. It argues that while long-term solutions require macroeconomic reform and deeper local capital markets, immediate needs must be met through innovative hedging mechanisms. The document analyzes five specific models: a TCX donor-funded guarantee, Eco Invest Brasil, the Delta onshore DFI platform, FSD Africa's MDB portfolio transfer, and a CPI FX Hedging Facility for India. It concludes that concessional capital is essential in the short term to make these tools affordable and to catalyze private investment.","ai_generated":true,"unit":"clipolin-000448#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Local capital markets in many EMDEs are insufficient to meet climate transition needs, potentially providing only about 50% of the required funds.","ai_generated":true,"unit":"clipolin-000448#insight-1","date_modified":"2026-10-23"},{"text":"Climate investment needs for EMDEs (excluding China) to reach net zero by 2050 are estimated between USD 1 trillion and USD 2 trillion annually by 2030.","ai_generated":true,"unit":"clipolin-000448#insight-2","date_modified":"2026-10-23"},{"text":"Currency risk creates a financial mismatch because clean energy projects typically generate revenues in local currency but rely on loans denominated in hard currencies like US dollars or euros.","ai_generated":true,"unit":"clipolin-000448#insight-3","date_modified":"2026-10-23"},{"text":"Commercial hedging products are often prohibitively expensive, with costs that can fully offset the lower interest rates of hard currency loans; for example, hedges for clean energy projects in India were estimated at 600 to 700 basis points in 2015.","ai_generated":true,"unit":"clipolin-000448#insight-4","date_modified":"2026-10-23"},{"text":"The Eco Invest Brasil program uses a hard-currency credit line from the IDB to help projects service foreign-currency debt during severe depreciation, relying on the project's ability to raise prices in line with inflation.","ai_generated":true,"unit":"clipolin-000448#insight-5","date_modified":"2026-10-23"},{"text":"The proposed Delta platform aims to increase DFI local-currency lending by borrowing short-term local currency and on-lending it to DFIs over longer terms, using a liquidity pool to manage risk.","ai_generated":true,"unit":"clipolin-000448#insight-6","date_modified":"2026-10-23"},{"text":"FSD Africa proposes an 'originate-to-distribute' model where MDB loan portfolios for operating 'brownfield' assets are transferred to local institutional investors in African markets such as Kenya, Nigeria, and Ghana.","ai_generated":true,"unit":"clipolin-000448#insight-7","date_modified":"2026-10-23"},{"text":"The CPI FX Hedging Facility for India proposes a tranche-based system where project developers absorb the first 4.5% of depreciation, and donor grants cover extreme tail risks beyond a 99.7% confidence level.","ai_generated":true,"unit":"clipolin-000448#insight-8","date_modified":"2026-10-23"},{"text":"A significant disparity exists in climate finance accessibility between high-emitting emerging economies like Brazil and India and least developed countries (LDCs), which have more underdeveloped financial markets and are often left behind.","ai_generated":true,"unit":"clipolin-000448#insight-9","date_modified":"2026-10-23"},{"text":"The cost of capital for solar projects varies drastically by region, with required rates of return around 8% in the EU compared to approximately 22% in major emitting EMDEs.","ai_generated":true,"unit":"clipolin-000448#insight-10","date_modified":"2026-10-23"}],"climate_tags":["climate finance","sustainable finance","Blended Finance","renewable energy","multilateral development bank"],"geography_discussed":["Brazil","India","Kenya","Nigeria","Ghana","Tanzania","Uganda","Ivory Coast","Senegal","Egypt"],"frame_perspective":[],"analysis_type":["policy assessment","financial analysis","comparative study"]},{"id":"clipolin-000715","url":"https://climateinsightsdirectory.org/document/clipolin-000715","title":"O Impacto do Crédito do Programa ABC para a Recuperação de Pastagens: Evidências para o Cerrado","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"pt","date_published":"2024-08","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/08/O-Impacto-do-Credito-do-Programa-ABC-para-a-Recuperacao-de-Pastagens.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study finds that the ABC Recuperação credit line has had modest effects on pasture recovery, with most areas remaining unchanged and severely degraded pastures showing little improvement. While some pasture was converted to agriculture, the program's contribution to the Plano ABC goal of recovering 15 million hectares by 2020 was estimated at a maximum of 2.5%. Technical assistance was identified as a critical factor for success, particularly for severely degraded areas. The report also notes that some areas were deforested immediately prior to receiving credit, suggesting a need for better ex-ante monitoring and the integration of risk management tools.","ai_generated":true,"unit":"clipolin-000715#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The overall impact of the ABC Recuperação credit line on pasture recovery is modest; nearly 75% of the analyzed polygons remained unchanged four years after the credit was granted.","ai_generated":true,"unit":"clipolin-000715#insight-1","date_modified":"2026-10-23"},{"text":"The credit line failed to produce significant improvements in the most severely degraded pastures, characterized as 'low vigor' areas.","ai_generated":true,"unit":"clipolin-000715#insight-2","date_modified":"2026-10-23"},{"text":"Credit access is associated with a marginal reduction in total pasture area (averaging 3 percentage points), primarily through the conversion of higher-vigor pastures into agriculture or agriculture-livestock mosaics.","ai_generated":true,"unit":"clipolin-000715#insight-3","date_modified":"2026-10-23"},{"text":"Technical assistance is a decisive factor for effectiveness; polygons with technical assistance saw a significant reduction of 6 percentage points in degraded pasture area after four years, whereas those without it saw almost no change in vigor.","ai_generated":true,"unit":"clipolin-000715#insight-4","date_modified":"2026-10-23"},{"text":"There is evidence that some areas designated for pasture recovery were partially deforested for agricultural use in the six years preceding the credit grant, though this trend stopped after the credit was accessed.","ai_generated":true,"unit":"clipolin-000715#insight-5","date_modified":"2026-10-23"},{"text":"The ABC Recuperação credit line's contribution to the Plano ABC goal of recovering 15 million hectares of degraded pasture by 2020 is estimated at a maximum of 2.5%, considering the conversion of pasture to other uses.","ai_generated":true,"unit":"clipolin-000715#insight-6","date_modified":"2026-10-23"},{"text":"The success of pasture recovery varies by soil type, with stronger effects observed in areas where Plintossolos are predominant, particularly in Mato Grosso, Tocantins, and Maranhão.","ai_generated":true,"unit":"clipolin-000715#insight-7","date_modified":"2026-10-23"}],"climate_tags":["land-use change","deforestation","climate finance","greenhouse gas emissions"],"geography_discussed":["Mato Grosso","Q43695","Maranhão","Amazon rainforest","Atlantic Forest"],"frame_perspective":[],"analysis_type":["impact evaluation","econometric analysis","satellite imagery analysis"]},{"id":"clipolin-000880","url":"https://climateinsightsdirectory.org/document/clipolin-000880","title":"O Impacto do Crédito do Programa ABC para a Recuperação de Pastagens: Evidências para o Cerrado","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"executive summary","language":"pt","date_published":"2024-08","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2024/08/Sumario-Executivo-Recuperacao-de-Pastagem.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The executive summary evaluates the ABC Recuperação credit program in the Cerrado, finding that it has had very modest impacts on pasture quality and land use. The study highlights that the credit line contributed to at most 2.5% of the 2020 recovery goal and notes a concerning trend where some areas were converted from native vegetation to pasture before receiving credit. It recommends strengthening post-credit monitoring, improving pre-credit evaluations, and integrating technical assistance to enhance environmental outcomes.","ai_generated":true,"unit":"clipolin-000880#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The ABC Recuperação credit line has demonstrated very limited effectiveness, with no significant improvement in general pasture quality and only marginal changes in land use. Approximately 75% of the analyzed areas remained unchanged four years after the credit was obtained, and no significant effects were observed in severely degraded areas. On average, the credit reduced pasture area by 3 percentage points as land was converted to other economic uses.","ai_generated":true,"unit":"clipolin-000880#insight-1","date_modified":"2026-10-23"},{"text":"There is evidence that some areas were converted from native vegetation to pasture prior to the acquisition of the credit, which contradicts the program's goal of preventing deforestation. However, this trend of conversion was interrupted after the resources were obtained.","ai_generated":true,"unit":"clipolin-000880#insight-2","date_modified":"2026-10-23"},{"text":"The integration of technical assistance is a critical factor for success; borrowers who used credit to hire technical assistance saw an average reduction of 6 percentage points in degraded pasture area, whereas those who did not hire such services saw virtually no change in pasture vigor.","ai_generated":true,"unit":"clipolin-000880#insight-3","date_modified":"2026-10-23"},{"text":"The ABC Recuperação credit line is estimated to have contributed to a maximum of 2.5% of the 15 million hectare recovery goal set for 2020, indicating that meeting national targets depends on other policy instruments and spontaneous producer adoption.","ai_generated":true,"unit":"clipolin-000880#insight-4","date_modified":"2026-10-23"},{"text":"Pre-credit evaluations are currently imprecise, as more than 25% of the declared areas were not actually pastures at the time the credit was taken.","ai_generated":true,"unit":"clipolin-000880#insight-5","date_modified":"2026-10-23"}],"climate_tags":["land-use change","deforestation","Nationally Determined Contributions"],"geography_discussed":["Brazil"],"frame_perspective":[],"analysis_type":["impact evaluation","policy analysis"]}]}