{"query_echo":{"q":"","filters":{"analysis_type":["problem tree analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'problem tree analysis' 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=problem+tree+analysis","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":"gclifun-005216","url":"https://climateinsightsdirectory.org/document/gclifun-005216","title":"Climate Investor 2: A Gender Assessment","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2022-09-05","source_url":"https://www.greenclimate.fund/sites/default/files/document/fp190-ga.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report assesses how climate change exacerbates gender inequalities in three infrastructure sectors: WASH, coastal/marine ecosystems, and ports. It finds that women and girls bear a disproportionate burden of inadequate WASH services and are largely excluded from formal employment and decision-making in the blue economy and port operations. The document proposes a Gender Action Plan for Climate Fund Managers (CFM) to improve access, amplify women's voices in planning, create formal employment opportunities, and implement robust gender-disaggregated monitoring.","ai_generated":true,"unit":"gclifun-005216#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Women and girls are disproportionately affected by inadequate WASH infrastructure due to their domestic and care-giving roles, which often require them to travel long distances to collect water, increasing their risk of violence and limiting time for education or productive activities.","ai_generated":true,"unit":"gclifun-005216#insight-1","date_modified":"2026-10-23"},{"text":"Climate change exacerbates WASH challenges by reducing water availability and damaging infrastructure, which increases the domestic burden on women and heightens risks of waterborne diseases and mental health stressors like anxiety and depression.","ai_generated":true,"unit":"gclifun-005216#insight-2","date_modified":"2026-10-23"},{"text":"In the fishery and ocean-based industries, women are concentrated in informal, unregulated economies and less profitable parts of the value chain, often earning significantly less than men for the same work.","ai_generated":true,"unit":"gclifun-005216#insight-3","date_modified":"2026-10-23"},{"text":"Women are largely excluded from the formal operation and management of port infrastructure, with female trainees representing only 6% of participants in 2021.","ai_generated":true,"unit":"gclifun-005216#insight-4","date_modified":"2026-10-23"},{"text":"Gender norms frequently silence women's voices in the planning and management of WASH and marine initiatives, even when formal consultation mechanisms exist.","ai_generated":true,"unit":"gclifun-005216#insight-5","date_modified":"2026-10-23"},{"text":"There is a systemic lack of women in technical and managerial roles within the WASH sector, partly due to low rates of secondary and tertiary education completion for girls in several focal countries.","ai_generated":true,"unit":"gclifun-005216#insight-6","date_modified":"2026-10-23"},{"text":"National policies in the 19 focal countries often reference gender as a cross-cutting issue but frequently lack concrete, practical actions to operationalize gender-inclusive environments in the WASH sector.","ai_generated":true,"unit":"gclifun-005216#insight-7","date_modified":"2026-10-23"},{"text":"Climate change is expected to disproportionately impact women's food security and livelihoods through rising sea temperatures, sea levels, and ocean acidity, as women often have fewer resources to adapt.","ai_generated":true,"unit":"gclifun-005216#insight-8","date_modified":"2026-10-23"},{"text":"The report identifies four primary opportunity areas for promoting gender equality: improving access to climate-smart WASH, giving women a voice in planning, providing formal employment, and building a gender-responsive evidence base.","ai_generated":true,"unit":"gclifun-005216#insight-9","date_modified":"2026-10-23"},{"text":"CFM intends to implement a monitoring framework using gender-disaggregated KPIs linked to UN SDGs, including the number of female employees and those in management positions.","ai_generated":true,"unit":"gclifun-005216#insight-10","date_modified":"2026-10-23"}],"climate_tags":["coastal ecosystem","gender mainstreaming","gender equality","climate finance","blue economy","circular economy"],"geography_discussed":["Bangladesh","Botswana","Brazil","Colombia","Djibouti","Ecuador","India","Indonesia","Kenya","Madagascar","Maldives","Morocco","Namibia","Nigeria","Philippines","Uganda"],"frame_perspective":[],"analysis_type":["gender assessment","policy review","problem tree analysis","stakeholder mapping"]},{"id":"gclifun-005207","url":"https://climateinsightsdirectory.org/document/gclifun-005207","title":"Gender Analysis and Assessment","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2021-03","source_url":"https://www.greenclimate.fund/sites/default/files/document/fp179-gender-assessment.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report assesses gender inequalities in Tanzania, specifically within the agriculture sector, identifying four primary barriers for women: land ownership, labor access, technical/technological gaps, and financial constraints. It reviews national and international policy frameworks and proposes how the TACATDP project will address these barriers through adaptation credits, guarantee support, and technical assistance.","ai_generated":true,"unit":"gclifun-005207#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Tanzania has established a comprehensive legal and policy framework for gender, including the ratification of the Convention on the Elimination of All Forms of Discrimination against Women (1979) and the Beijing Platform for Action (1995), as well as national policies like the Women and Gender Development Policy (2000) and the National Strategy for Gender Development (2008).","ai_generated":true,"unit":"gclifun-005207#insight-1","date_modified":"2026-10-23"},{"text":"Despite national policies, gender inequalities persist in Tanzania, with women facing higher unemployment rates and lower incomes than men. The Gender Development Index is 0.948 and the Gender Inequalities Index is 0.556.","ai_generated":true,"unit":"gclifun-005207#insight-2","date_modified":"2026-10-23"},{"text":"Women in the agriculture sector experience lower productivity and higher vulnerability due to four main barriers: land ownership, labor access, technical/technological barriers, and financial barriers. The annual cost of the gender gap in agricultural productivity is estimated at $105 million.","ai_generated":true,"unit":"gclifun-005207#insight-3","date_modified":"2026-10-23"},{"text":"Land ownership is heavily skewed toward men, who make up 73% of landholders compared to 27% for women. Women typically hold smaller, lower-quality plots (averaging 0.6 hectares versus 1 hectare for men) and often lack secure property rights due to customary tenure norms.","ai_generated":true,"unit":"gclifun-005207#insight-4","date_modified":"2026-10-23"},{"text":"Labor access is unbalanced as women perform significant unpaid care and domestic work, and often provide unpaid labor on their husbands' plots. The inability to acquire adequate male family labor accounts for 97.3% of the gender gap in agricultural productivity, approximately US$102 million.","ai_generated":true,"unit":"gclifun-005207#insight-5","date_modified":"2026-10-23"},{"text":"Women face significant technical and technological barriers, including limited access to mechanical irrigation, pesticides, and fertilizers. 92% of women's plots are irrigated by flooding, compared to 63% for men.","ai_generated":true,"unit":"gclifun-005207#insight-6","date_modified":"2026-10-23"},{"text":"Financial barriers are severe for women, who earn lower incomes and lack the formal property rights required for bank collateral. CRDB Bank has attempted to mitigate this through the Malkia Account, which offers reduced lending interest rates of 14% compared to the previous 24%.","ai_generated":true,"unit":"gclifun-005207#insight-7","date_modified":"2026-10-23"},{"text":"The TACATDP project aims to address these gender barriers through three main components: adaptation credits to increase financial inclusion for smallholders, a guarantee facility to alleviate collateral requirements, and technical assistance to provide training and climate-resilient tools.","ai_generated":true,"unit":"gclifun-005207#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","Climate-smart agriculture","gender equality","gender mainstreaming","climate finance","smallholder","land tenure","agricultural productivity","greenhouse gas emissions"],"geography_discussed":["Uganda","East Africa"],"frame_perspective":[],"analysis_type":["gender analysis","policy review","problem tree analysis"]},{"id":"cdkn-000730","url":"https://climateinsightsdirectory.org/document/cdkn-000730","title":"Problem Tree Analysis: Ethiopia Micro-Finance Case Study","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"case study","language":"en","date_published":null,"source_url":"https://cdkn.org/sites/default/files/2024-03/Problem-tree_Ethiopia_Example.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document outlines a problem tree analysis for Ethiopia, identifying the lack of micro-finance and credit for pastoralist women as a central problem. This issue is driven by root causes such as gender-blind social norms, lack of institutional frameworks for gender integration in climate programs, and limited capacity of gender departments. The immediate consequences include financial dependence, food insecurity, and limited education. Long-term impacts include increased poverty, gender inequality, and low community and national resilience to climate shocks, leading to frequent migration as livestock are impacted by climate change.","ai_generated":true,"unit":"cdkn-000730#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The central problem identified is the lack of micro-finance and access to credit, which causes women to remain financially dependent and limits the development opportunities of the community.","ai_generated":true,"unit":"cdkn-000730#insight-1","date_modified":"2026-10-23"},{"text":"Root causes of the problem include gender-blind social and cultural norms, a lack of policy-level gender intervention, and an institutional failure to integrate gender into climate and development programs.","ai_generated":true,"unit":"cdkn-000730#insight-2","date_modified":"2026-10-23"},{"text":"The long-term consequences of these systemic failures include increased poverty, gender inequality, and reduced national and community resilience to climate shocks, which triggers frequent migration.","ai_generated":true,"unit":"cdkn-000730#insight-3","date_modified":"2026-10-23"}],"climate_tags":["microfinance","gender equality","climate resilience","climate migration"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["problem tree analysis","case study"]}]}