{"query_echo":{"q":"","filters":{"analysis_type":["economic appraisal"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'economic appraisal' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":3,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=economic+appraisal","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-001024","url":"https://climateinsightsdirectory.org/document/clipolin-001024","title":"Assessing Climate Risks to India’s Power Sector: A District-Level and Asset-Level Methodology for Climate-Resilient Power Systems","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2026-05","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2026/05/Annexure-Assessing-Climate-Risks-to-Indias-Power-Sector.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report details a framework for assessing climate risks to India's power sector, distinguishing between chronic stresses (e.g., temperature, drought) and acute extremes (e.g., floods, cyclones). It introduces the Asset-Specific Climate Risk Factor (ACRF) for spatial screening and Expected Annual Impact (EAI)—measured as Expected Annual Loss (EAL) for generation and Energy Not Served (ENS) for networks—to quantify operational disruptions in MWh. The methodology includes a cost-benefit analysis (CBA) framework to evaluate the economic viability of resilience measures by comparing investment costs against avoided energy losses and repair expenditures.","ai_generated":true,"unit":"clipolin-001024#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The methodology employs a 'hazard–exposure–vulnerability' construct to generate two primary outputs: the Asset-Specific Climate Risk Factor (ACRF), a dimensionless index for spatial risk mapping, and the Expected Annual Impact (EAI), which quantifies energy losses in MWh per year.","ai_generated":true,"unit":"clipolin-001024#insight-1","date_modified":"2026-10-23"},{"text":"Climate hazards are categorized into chronic and acute pathways based on their physical impact mechanisms. Chronic hazards, including temperature, rainfall, wind speed, and drought-induced water stress, cause gradual performance degradation or operational constraints. Acute hazards, such as floods, cyclones, and landslides, cause sudden physical failures and forced outages.","ai_generated":true,"unit":"clipolin-001024#insight-2","date_modified":"2026-10-23"},{"text":"Asset exposure is defined differently across the power sector: generation assets are mapped to a single district based on rated installed capacity; transmission assets are distributed across districts based on line length; and distribution assets are mapped to a single district based on average load served.","ai_generated":true,"unit":"clipolin-001024#insight-3","date_modified":"2026-10-23"},{"text":"The framework quantifies operational impacts through Expected Annual Loss (EAL) for generation assets and Energy Not Served (ENS) for transmission and distribution assets. ENS incorporates a redundancy/load-transfer factor to account for the grid's ability to reroute power, preventing the overestimation of impacts in meshed networks.","ai_generated":true,"unit":"clipolin-001024#insight-4","date_modified":"2026-10-23"},{"text":"A cost-benefit analysis (CBA) framework is provided to evaluate resilience measures, such as flood protection walls or equipment hardening. It compares the present value of lifecycle costs (CAPEX and O&M) against the discounted stream of avoided energy losses and avoided direct repair and replacement expenditures.","ai_generated":true,"unit":"clipolin-001024#insight-5","date_modified":"2026-10-23"}],"climate_tags":["Climate risk assessment","electric power industry","climate resilience","temperature","flood","tropical cyclone","landslide"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["methodology","risk framework","economic appraisal"]},{"id":"gclifun-005324","url":"https://climateinsightsdirectory.org/document/gclifun-005324","title":"Peru’s Natural Legacy – Amazon & Climate (PdP A&C): Effective Management of Peruvian Amazon Protected Areas for Climate Change Mitigation and Adaptation Peru","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2026-04-17","source_url":"https://www.greenclimate.fund/sites/default/files/document/fp300.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project targets 15.8 million hectares of the Peruvian Amazon across four geographic groups: Loreto, Amazonas-San Martin, Pasco-Junin, and Madre de Dios. It employs a Project Finance for Permanence (PFP) model to address a financial gap of US$5.3 million per annum, transitioning from donor dependence to sustainable domestic funding via tourism fees, water Payments for Ecosystem Services (PES), and environmental compensation. Component 1 focuses on advancing NPAs through SERNANP's management levels (Basic, Structural, and Optimal) to avoid 1.8 million tCO2eq by project completion and 13.4 million tCO2eq over 25 years. Component 2 implements Ecosystem-based Adaptation (EbA) and climate-resilient productive practices for 33,516 direct beneficiaries across 192 Indigenous communities. The total financing is US$74.5 million, with US$37.5 million requested from the GCF as a grant.","ai_generated":true,"unit":"gclifun-005324#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project aims to bring 15.8 million hectares (comprising 25 NPAs and 4 buffer zones) under 'Effective Management' to reduce deforestation and preserve carbon sinks.","ai_generated":true,"unit":"gclifun-005324#insight-1","date_modified":"2026-10-23"},{"text":"The project expects to deliver 1.8 million tCO2eq in avoided emissions by the end of the 7-year implementation period and 13.4 million tCO2eq over its 25-year lifespan.","ai_generated":true,"unit":"gclifun-005324#insight-2","date_modified":"2026-10-23"},{"text":"The project utilizes a Project Finance for Permanence (PFP) model to resolve a long-term annual financial gap of US$5.3 million for the 25 target NPAs.","ai_generated":true,"unit":"gclifun-005324#insight-3","date_modified":"2026-10-23"},{"text":"Three primary sustainable finance mechanisms are targeted to generate long-term revenue: tourism entrance fees, Payments for Ecosystem Services (PES) for water (MERESE schemes), and environmental compensation payments.","ai_generated":true,"unit":"gclifun-005324#insight-4","date_modified":"2026-10-23"},{"text":"Component 2 targets 33,516 direct beneficiaries (16,423 men and 17,093 women) and 605,000 indirect beneficiaries through locally-led adaptation measures.","ai_generated":true,"unit":"gclifun-005324#insight-5","date_modified":"2026-10-23"},{"text":"Adaptation efforts focus on 192 Indigenous communities, with 30 communities serving as demonstration sites for climate-resilient productive practices (CRPPs) and Ecosystem-based Adaptation (EbA).","ai_generated":true,"unit":"gclifun-005324#insight-6","date_modified":"2026-10-23"},{"text":"The project identifies four primary geographic groups in the Peruvian Amazon: Northeast (Loreto), North Central (Amazonas-San Martin), South Central (Pasco-Junin), and Southeast (Madre de Dios).","ai_generated":true,"unit":"gclifun-005324#insight-7","date_modified":"2026-10-23"},{"text":"The project seeks to advance all 25 target NPAs to a 'Structural' level of management, with 12 of them moving further to the 'Optimal' level.","ai_generated":true,"unit":"gclifun-005324#insight-8","date_modified":"2026-10-23"},{"text":"The total project cost is US$74.5 million, consisting of a US$37.5 million GCF grant and US$37 million in co-financing from the Government of Peru, WWF, and Profonanpe.","ai_generated":true,"unit":"gclifun-005324#insight-9","date_modified":"2026-10-23"},{"text":"The project addresses several deforestation drivers, including shifting agriculture, commodity expansion (such as oil palm and coca), and infrastructure development (such as the Inter-Oceanic Highway).","ai_generated":true,"unit":"gclifun-005324#insight-10","date_modified":"2026-10-23"}],"climate_tags":["climate finance","ecosystem-based adaptation","nature-based solutions","deforestation","carbon sink","indigenous people","sustainable tourism","climate risk management"],"geography_discussed":["Loreto Department","Amazonas Department","San Martin Department","Pasco Department","Junín Department","Madre de Dios Department"],"frame_perspective":[],"analysis_type":["funding proposal","economic appraisal","climate vulnerability assessment"]},{"id":"issafri-002735","url":"https://climateinsightsdirectory.org/document/issafri-002735","title":"The art of creating money","publisher":{"name":"Institute for Security Studies","organization":"institute-for-security-studies"},"document_type":"report","language":"en","date_published":"2018-11","source_url":"https://issafrica.s3.amazonaws.com/site/uploads/SAR-18-2.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that Zimbabwe's economic decline is rooted in the conflation of the state with the ZANU-PF party, leading to state capture, patronage, and corruption. It highlights how government profligacy, excessive borrowing through Treasury Bills, and a protectionist import substitution strategy have fueled inflation and foreign exchange shortages. Despite President Emmerson Mnangagwa's 'open for business' rhetoric, the report finds that investment claims are often unsubstantiated and that the government continues to prioritize prestige projects and party loyalty over market-based principles. The author recommends a transition to a market-oriented, export-led economy with an independent central bank and secure property rights.","ai_generated":true,"unit":"issafri-002735#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Inflation is primarily driven by an increase in the money supply resulting from the issuance of Treasury Bills to fund budget deficits and state-owned enterprise debt. By August 2018, Treasury Bills issued totaled US$7.6 billion.","ai_generated":true,"unit":"issafri-002735#insight-1","date_modified":"2026-10-23"},{"text":"The government's overdraft with the Reserve Bank of Zimbabwe (RBZ) reached US$2.3 billion by the end of August 2018, which is three times the statutory limit.","ai_generated":true,"unit":"issafri-002735#insight-2","date_modified":"2026-10-23"},{"text":"Zimbabwe's protectionist import substitution policy, which uses tariffs and import bans to protect local industry, has actually worsened foreign exchange shortages because low local productivity maintains the demand for hard currency on the parallel market.","ai_generated":true,"unit":"issafri-002735#insight-3","date_modified":"2026-10-23"},{"text":"Despite claims of attracting US$16 billion in investment, Zimbabwe has consistently received less than US$500 million in actual Foreign Direct Investment (FDI) between 2012 and 2016.","ai_generated":true,"unit":"issafri-002735#insight-4","date_modified":"2026-10-23"},{"text":"The government's commitment to legal protections for investors is undermined by its failure to honor international court rulings, such as those from the ICSID regarding compensation for seized farms.","ai_generated":true,"unit":"issafri-002735#insight-5","date_modified":"2026-10-23"},{"text":"Fiscal deficits are exacerbated by excessive spending on agricultural subsidies, such as the Command Agriculture programme, and a bloated public wage bill that consumes 90% of tax revenues.","ai_generated":true,"unit":"issafri-002735#insight-6","date_modified":"2026-10-23"},{"text":"The trade gap for goods and services is widening and was expected to reach US$2.15 billion in 2018, contributing to severe foreign exchange shortages.","ai_generated":true,"unit":"issafri-002735#insight-7","date_modified":"2026-10-23"},{"text":"Domestic debt surged from US$442 million in 2013 to US$10.5 billion by February 2018, and total debt could exceed 200% of GDP if compensation for seized farms is included.","ai_generated":true,"unit":"issafri-002735#insight-8","date_modified":"2026-10-23"}],"climate_tags":["fiscal policy","agricultural subsidy","inflation","trade policy"],"geography_discussed":["Namibia","Zambia","Botswana","South Africa"],"frame_perspective":[],"analysis_type":["economic appraisal","policy analysis"]}]}