{"query_echo":{"q":"","filters":{"geography":["Kisii County"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'Kisii County' for facet 'geography' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Kisii+County","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-005276","url":"https://climateinsightsdirectory.org/document/gclifun-005276","title":"Annex 8 Gender Assessment For the GCF-FAO Project “Transforming Livelihoods through Climate Resilient, Low Carbon, Sustainable Agricultural Value Chains in the Lake Region Economic Bloc, Kenya”","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2025-02-20","source_url":"https://www.greenclimate.fund/sites/default/files/document/fp255-genderassesment.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report assesses gender inequalities in Kenya's agricultural sector, specifically within the Lake Region Economic Bloc (LREB). It identifies systemic barriers for women, including limited land ownership, restricted access to finance, and a disproportionate domestic work burden, which exacerbate their vulnerability to climate change. The assessment analyzes six priority value chains—coffee, tea, fruit trees, African leafy vegetables, poultry, and dairy—finding that while women provide the majority of labor, they are often excluded from leadership and financial control, particularly in 'masculinized' cash crops. To address this, the project proposes a Gender Action Plan using Gender Transformative Approaches (GTA) and Gender Action Learning Systems (GALS) to shift deep-rooted socio-cultural norms and improve the representation and agency of marginalized groups in agricultural cooperatives.","ai_generated":true,"unit":"gclifun-005276#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Women provide a vast majority of agricultural labor in Kenya, accounting for approximately 75% of the labor force and managing 40% of small-scale farms, yet they face significant barriers to formal market participation due to discriminatory social norms.","ai_generated":true,"unit":"gclifun-005276#insight-1","date_modified":"2026-10-23"},{"text":"Land ownership is heavily skewed toward men, with women holding only about 1% of registered land titles, which prevents them from using land as collateral for credit and limits their decision-making power over high-value cash crops.","ai_generated":true,"unit":"gclifun-005276#insight-2","date_modified":"2026-10-23"},{"text":"Women in Kenya experience a severe 'time poverty' due to a double burden of unpaid care work and agricultural labor; they work an average of 12.9 hours per day compared to 8.2 hours for men.","ai_generated":true,"unit":"gclifun-005276#insight-3","date_modified":"2026-10-23"},{"text":"In the coffee sector, women perform up to 70% of the production labor but hold less than 5% of leadership roles in cooperatives, leading to a gap between their labor contribution and the financial benefits they receive.","ai_generated":true,"unit":"gclifun-005276#insight-4","date_modified":"2026-10-23"},{"text":"Climate change disproportionately affects women because they rely more heavily on natural resources for daily livelihoods and have fewer assets and secure land rights to implement adaptation strategies.","ai_generated":true,"unit":"gclifun-005276#insight-5","date_modified":"2026-10-23"},{"text":"There are distinct gender differences in how climate information services (CIS) are accessed; women show a higher preference for radio and social groups, while men are more likely to use extension officers.","ai_generated":true,"unit":"gclifun-005276#insight-6","date_modified":"2026-10-23"},{"text":"A survey of 321 cooperatives in the LREB revealed that men constitute 70.8% of membership, while women make up only 29.2%, with young women being the least represented group across all six analyzed value chains.","ai_generated":true,"unit":"gclifun-005276#insight-7","date_modified":"2026-10-23"},{"text":"The project will implement Gender Transformative Approaches (GTA) and Gender Action Learning Systems (GALS) to address the root causes of inequality rather than just the symptoms.","ai_generated":true,"unit":"gclifun-005276#insight-8","date_modified":"2026-10-23"},{"text":"Gender-based violence (GBV) is a significant risk for women in Kenya, with 39.4% of women experiencing GBV in their lifetime, and risks can increase when women take on leadership roles or travel longer distances for water due to climate change.","ai_generated":true,"unit":"gclifun-005276#insight-9","date_modified":"2026-10-23"}],"climate_tags":["Climate-smart agriculture","climate change adaptation","climate change mitigation","gender equality","Climate information service","climate finance","smallholder","land tenure"],"geography_discussed":["Bomet County","Bungoma County","Busia County","Homa Bay County","Kakamega County","Kericho County","Kisii County","Kisumu County","Migori County","Nandi","Nyamira county","Siaya County","Trans-Nzoia county","Vihiga County"],"frame_perspective":[],"analysis_type":["gender assessment","situational analysis","policy review"]},{"id":"sei-001498","url":"https://climateinsightsdirectory.org/document/sei-001498","title":"Improving Kenya’s coffee value chain","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"policy brief","language":"en","date_published":"2022-04","source_url":"https://www.sei.org/wp-content/uploads/2022/05/nzuve-kenyas-coffee-value-chain.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that Kenya's coffee sector, which employs 30% of the agricultural workforce, faces existential risks from climate change and declining production. It proposes 17 specific Sustainable Consumption and Production Practices (SCPs) across the value chain—from farm-level organic fertilizers and shade trees to factory-level eco-pulping and the use of renewable energy in milling—to increase yields and reduce environmental impacts. The brief recommends that the Kenyan government incorporate SCPs into national coffee reforms, provide subsidies for sustainable technology, and enhance capacity-building through extension officers.","ai_generated":true,"unit":"sei-001498#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The coffee sector is a vital economic pillar in Kenya, employing approximately 5 million people, which represents 30% of the agricultural labour force, and supporting over 800,000 rural households.","ai_generated":true,"unit":"sei-001498#insight-1","date_modified":"2026-10-23"},{"text":"Kenya's coffee production has seen a significant decline, dropping 40% since the 1980s to approximately 1 million bags per year, with 2020 production totaling 39,000 tons.","ai_generated":true,"unit":"sei-001498#insight-2","date_modified":"2026-10-23"},{"text":"Climate change creates existential risks for the sector through erratic rainfall and shorter growing seasons, which destabilize quality yields and prompt producers to switch to less risky crops.","ai_generated":true,"unit":"sei-001498#insight-3","date_modified":"2026-10-23"},{"text":"At the farm level, the document identifies seven SCPs to improve resilience and reduce emissions, including the use of shade trees to regulate soil temperature and the replacement of synthetic fertilizers with organic composting to lower the estimated 4 kg CO2e emitted per kg of coffee.","ai_generated":true,"unit":"sei-001498#insight-4","date_modified":"2026-10-23"},{"text":"Processing factories can reduce water consumption by 90–100% by switching from traditional wet pulping—which uses up to 20 litres of water per kg of cherries—to eco-pulper technology or sun-drying methods.","ai_generated":true,"unit":"sei-001498#insight-5","date_modified":"2026-10-23"},{"text":"The brief proposes increasing the domestic coffee market, particularly among youth, to hedge against global market risks, as Kenyan coffee is currently primarily an export product.","ai_generated":true,"unit":"sei-001498#insight-6","date_modified":"2026-10-23"},{"text":"To scale SCPs, the authors recommend that the Ministry of Agriculture integrate these practices into government coffee sector reforms and provide financial subsidies for sustainable technology and capacity-building via extension officers.","ai_generated":true,"unit":"sei-001498#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","regenerative agriculture","water management","renewable energy","greenhouse gas emissions","circular economy","precision agriculture"],"geography_discussed":["Kiambu County","Kirinyaga County","Meru","Kisii County","Trans-Nzoia county","Embu County","Muranga County"],"frame_perspective":[],"analysis_type":["policy brief","value chain analysis"]},{"id":"ruralele-000046","url":"https://climateinsightsdirectory.org/document/ruralele-000046","title":"Schneider Electric – Matongo Birthing Clinic Microgrid (Kenya)","publisher":{"name":"Alliance for Renewable Electrification","organization":"alliance-for-renewable-electrification"},"document_type":"case study","language":"en","date_published":"2021-07-02","source_url":"https://renewelec.org/case-study/schneider-electric-matongo-birthing-clinic-microgrid-kenya/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Matongo Birthing Clinic in Kenya installed an 8.7 kW solar and storage microgrid to combat frequent power outages that previously deterred patients. Since August 2020, the facility has seen facility-based deliveries increase to 95%, reduced energy costs, and improved 24-hour operational reliability.","ai_generated":true,"unit":"ruralele-000046#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Matongo Birthing Clinic installed an 8.7 kW solar and storage microgrid provided by Schneider Electric to address frequent blackouts in rural Kenya that previously lasted for hours or days, jeopardising patient health and staff security.","ai_generated":true,"unit":"ruralele-000046#insight-1","date_modified":"2026-10-23"},{"text":"Since the microgrid went online in August 2020, the clinic has experienced a significant increase in facility-based births, with 95% of deliveries now occurring at the health facility with a skilled attendant, compared to a previous state where one in three women preferred home births due to power outage risks.","ai_generated":true,"unit":"ruralele-000046#insight-2","date_modified":"2026-10-23"},{"text":"The project has enabled the facility to operate 24 hours a day and has resulted in monthly energy cost savings from the utility company, allowing the clinic to purchase more hospital supplies.","ai_generated":true,"unit":"ruralele-000046#insight-3","date_modified":"2026-10-23"}],"climate_tags":["solar energy","energy storage","microgrid","energy access"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study"]},{"id":"iisd-002748","url":"https://climateinsightsdirectory.org/document/iisd-002748","title":"CLIMATE RISK MANAGEMENT FOR MALARIA CONTROL IN KENYA: THE CASE OF THE WESTERN HIGHLANDS","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2013-01","source_url":"https://www.iisd.org/system/files/publications/crm_kenya.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the re-emergence of malaria in the western Kenyan highlands, driven by a combination of rising temperatures, rainfall patterns, and socio-economic factors. It finds that the population's vulnerability is very high due to low immunity, high poverty, and limited adaptive capacity at the local level. The document recommends strengthening the health system, improving early-warning systems for epidemics, and enhancing cross-sectoral collaboration between health, climate, and disaster management agencies.","ai_generated":true,"unit":"iisd-002748#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Malaria is the primary cause of disease and mortality in Kenya, and it is re-emerging in the western highlands due to a combination of climate and non-climate factors, specifically unusually high temperatures, rainfall, and humidity.","ai_generated":true,"unit":"iisd-002748#insight-1","date_modified":"2026-10-23"},{"text":"The population of the western Kenyan highlands is highly vulnerable to malaria epidemics because of increasing exposure, high sensitivity, and low adaptive capacity at district and community levels.","ai_generated":true,"unit":"iisd-002748#insight-2","date_modified":"2026-10-23"},{"text":"Climate change is projected to increase temperatures across Kenya, with mean annual temperatures expected to rise by 1.0°C to 3.5°C by 2046 to 2065, though rainfall projections remain uncertain.","ai_generated":true,"unit":"iisd-002748#insight-3","date_modified":"2026-10-23"},{"text":"Socio-economic and land-use changes, such as deforestation and the creation of man-made habitats like brick-making pits and cultivated swamps, have increased exposure to malaria by creating mosquito breeding sites.","ai_generated":true,"unit":"iisd-002748#insight-4","date_modified":"2026-10-23"},{"text":"Population sensitivity is exacerbated by low immunity in highland areas, where case fatality rates during epidemics can be up to 10 times higher than in regions where malaria is endemic.","ai_generated":true,"unit":"iisd-002748#insight-5","date_modified":"2026-10-23"},{"text":"Adaptive capacity is limited by a top-down policy approach, inadequate funding, and an inequitable healthcare system where only 30% of the health care budget was allocated to rural areas in 2007 despite 70% of the population living there.","ai_generated":true,"unit":"iisd-002748#insight-6","date_modified":"2026-10-23"},{"text":"Stakeholders identified five priority actions for malaria control: strengthening the health system, improving epidemic prediction through early-warning systems, developing targeted local interventions, increasing community awareness, and strengthening cross-sectoral collaboration.","ai_generated":true,"unit":"iisd-002748#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate risk management","climate change adaptation","disaster risk reduction","public health","deforestation","early warning system","vector-borne disease","land-use change","climate variability"],"geography_discussed":["Kericho County","Kisii County","Nandi","Trans-Nzoia county"],"frame_perspective":[],"analysis_type":["risk assessment","vulnerability analysis","policy review"]}]}