{"query_echo":{"q":"","filters":{"analysis_type":["behavioural analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'behavioural analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=behavioural+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":"iisd-002537","url":"https://climateinsightsdirectory.org/document/iisd-002537","title":"Behavioural Science for Climate Change Adaptation","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"case study","language":"en","date_published":"2024-07","source_url":"https://www.iisd.org/system/files/2024-08/behavioural-science-climate-change-adaptation-fiji.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes a failed government-led project to plant vetiver grass for erosion control in Fiji, identifying six behavioural drivers—salience of loss, choice uncertainty, outcome efficacy, collective efficacy, self-efficacy, and material access—that influence adoption. It argues that top-down interventions often fail because they overlook psychological and socio-cultural drivers, recommending that future climate adaptation projects integrate behavioural science and deep community engagement during the design phase.","ai_generated":true,"unit":"iisd-002537#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A government-led project between 2018 and 2020 to plant vetiver grass in the villages of Naveiveiwali, Malabe, and Nabouva failed to achieve sustained adoption; by 2023, direct observation showed \"no uptake of the vetiver along the riverbanks\" and most plants had been \"washed away\".","ai_generated":true,"unit":"iisd-002537#insight-1","date_modified":"2026-10-23"},{"text":"The failure of the intervention is attributed to a design that targeted only two behavioural drivers—material access and self-efficacy—through one-off provisions of seedlings and rudimentary training, while ignoring four other critical drivers: salience of loss, outcome efficacy, collective efficacy, and choice uncertainty.","ai_generated":true,"unit":"iisd-002537#insight-2","date_modified":"2026-10-23"},{"text":"Despite high 'salience of loss'—where villagers expressed strong emotional attachment to land and viewed erosion as a loss of \"cultural identity\"—this driver alone was insufficient to motivate the adoption of vetiver grass.","ai_generated":true,"unit":"iisd-002537#insight-3","date_modified":"2026-10-23"},{"text":"Outcome efficacy was hindered by 'confirmation bias' and a lack of 'social proof', as villagers focused on past failures where vetiver was washed away and expressed a lack of interest because they \"haven’t seen evidence yet that it works\".","ai_generated":true,"unit":"iisd-002537#insight-4","date_modified":"2026-10-23"},{"text":"Gender inequality in project implementation limited the success of the intervention; women, who are \"key custodians of the riverbanks\", were excluded from awareness-raising sessions and instead \"organized the catering for those involved in the planting\".","ai_generated":true,"unit":"iisd-002537#insight-5","date_modified":"2026-10-23"},{"text":"Collective efficacy was undermined by 'pluralistic ignorance', where 93% of surveyed respondents believed the community should plant vetiver, but only 59% believed others in the community expected them to do so.","ai_generated":true,"unit":"iisd-002537#insight-6","date_modified":"2026-10-23"},{"text":"The study demonstrates that the process of behavioural data collection itself can act as an intervention; after the 2023 study, field experts observed in 2024 that awareness had increased and some villagers had started collecting seeds from neighbouring villages.","ai_generated":true,"unit":"iisd-002537#insight-7","date_modified":"2026-10-23"}],"climate_tags":["ecosystem-based adaptation","nature-based solutions","bank erosion","Flood risk management","community engagement","climate change adaptation"],"geography_discussed":["Tailevu"],"frame_perspective":[],"analysis_type":["case study","behavioural analysis"]},{"id":"wwfza-000047","url":"https://climateinsightsdirectory.org/document/wwfza-000047","title":"SOUTH AFRICA FOOD LOSS AND WASTE IN FARMING","publisher":{"name":"WWF South Africa","organization":"wwf-south-africa"},"document_type":"report","language":"en","date_published":"2023","source_url":"https://wwfafrica.awsassets.panda.org/downloads/food_loss_and_waste_report.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines food wastage at the primary production level in South Africa, identifying environmental factors as the primary cause of food loss and behavioural issues as a key driver of food waste. It highlights a critical lack of baseline data, with fewer than 40% of surveyed farmers measuring their waste. While farmers are motivated by financial viability and moral responsibility to reduce waste, they face significant logistical, financial, and regulatory barriers, including high transport costs and strict export standards. The document recommends the development of centralised redistribution contacts and validated waste-tracking tools to help South Africa meet SDG 12.3.","ai_generated":true,"unit":"wwfza-000047#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"South Africa wastes approximately 10.3 million tonnes of edible food annually, with an estimated 34.3% of food wastage occurring at the primary production stage.","ai_generated":true,"unit":"wwfza-000047#insight-1","date_modified":"2026-10-23"},{"text":"Environmental factors are the dominant cause of food loss, with 13 out of 15 surveyed farmers identifying them as the biggest contributor; specific issues include hail, frost, and pests.","ai_generated":true,"unit":"wwfza-000047#insight-2","date_modified":"2026-10-23"},{"text":"Incorrect pesticide use is a significant behavioural contributor to food wastage, often resulting from a lack of knowledge and training among farmers and workers.","ai_generated":true,"unit":"wwfza-000047#insight-3","date_modified":"2026-10-23"},{"text":"High cosmetic and aesthetic standards imposed by retailers and consumers lead to the rejection of edible produce, contributing to primary-level food waste.","ai_generated":true,"unit":"wwfza-000047#insight-4","date_modified":"2026-10-23"},{"text":"Logistical barriers, specifically high transport costs and a lack of reliable contacts for redistribution, prevent farmers from donating surplus food.","ai_generated":true,"unit":"wwfza-000047#insight-5","date_modified":"2026-10-23"},{"text":"Political instability and infrastructure failures, such as riots and loadshedding, cause significant food losses by compromising the cold chain and blocking transport.","ai_generated":true,"unit":"wwfza-000047#insight-6","date_modified":"2026-10-23"},{"text":"Regulatory requirements for exports, such as EuroGap and GlobalG.A.P. audits, as well as specific European import rules for citrus, increase financial burdens and lead to food being discarded.","ai_generated":true,"unit":"wwfza-000047#insight-7","date_modified":"2026-10-23"},{"text":"Financial viability is the primary motivator for reducing food waste, with 80% of farmers stating they are financially driven, though some also cite a moral responsibility to food security.","ai_generated":true,"unit":"wwfza-000047#insight-8","date_modified":"2026-10-23"},{"text":"There is a severe lack of baseline data on food waste at the farm level, as less than 40% of farmers measure their wastage, which hinders the implementation of behavioural strategies.","ai_generated":true,"unit":"wwfza-000047#insight-9","date_modified":"2026-10-23"}],"climate_tags":["Sustainable Development Goals","climate change","renewable energy","biofuel"],"geography_discussed":["Western Cape","Eastern Cape","KwaZulu-Natal","Limpopo","Europe","Spain"],"frame_perspective":[],"analysis_type":["qualitative research","thematic analysis","behavioural analysis"]},{"id":"sei-001404","url":"https://climateinsightsdirectory.org/document/sei-001404","title":"Household waste and the circular economy in Bangkok","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2022-12","source_url":"https://www.sei.org/wp-content/uploads/2022/12/household-waste-bangkok-sei2022.051.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds a significant 'value-action gap' in Bangkok households, where high reported commitment to waste sorting does not match the fact that 75% of household waste is thrown out as trash. Organic waste is the primary contributor to this gap, comprising 90% of waste discarded as trash. The study highlights that economic incentives and collective action are the strongest drivers of behaviour, while a lack of knowledge on composting and perceived futility when municipal collectors mix waste act as barriers. The authors recommend prioritising organic waste management, integrating informal waste workers into formal systems, and implementing Extended Producer Responsibility (EPR) to address economic barriers to recycling.","ai_generated":true,"unit":"sei-001404#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There is a substantial gap in waste management practices in Bangkok, with approximately 75% of all household waste types being discarded as trash rather than being separated, recycled, or reused.","ai_generated":true,"unit":"sei-001404#insight-1","date_modified":"2026-10-23"},{"text":"Organic waste represents the largest portion of household waste by weight (83%) and the vast majority of waste thrown away as trash (90%), yet composting is hindered by a lack of financial incentives, storage facilities, and knowledge.","ai_generated":true,"unit":"sei-001404#insight-2","date_modified":"2026-10-23"},{"text":"A 'value-action gap' exists where a high percentage of households express support for waste sorting—92% agree it should be done by everyone and 72% claim to do it 'every time' or 'mostly'—which contradicts the actual high volume of waste thrown away as trash.","ai_generated":true,"unit":"sei-001404#insight-3","date_modified":"2026-10-23"},{"text":"Economic motivation is a primary driver for waste separation, particularly for lower-income households who earn supplementary income by selling recyclables to informal collectors known as saleng.","ai_generated":true,"unit":"sei-001404#insight-4","date_modified":"2026-10-23"},{"text":"Collective action serves as both a motivator and a deterrent; while the feeling of working together is positive, households feel discouraged when they perceive municipal garbage collectors mixing previously separated waste.","ai_generated":true,"unit":"sei-001404#insight-5","date_modified":"2026-10-23"},{"text":"While 60% of respondents feel they have sufficient knowledge on waste separation and reduction, there are significant knowledge gaps regarding how to reuse materials (49%) and how to compost organic waste (43%).","ai_generated":true,"unit":"sei-001404#insight-6","date_modified":"2026-10-23"},{"text":"The informal waste sector is critical to Thailand's recycling efforts, with estimates suggesting approximately 1.5 million informal waste workers are responsible for about 75% of the country's recycling.","ai_generated":true,"unit":"sei-001404#insight-7","date_modified":"2026-10-23"}],"climate_tags":["circular economy","recycling","organic waste","single-use plastic"],"geography_discussed":["Thailand","Khlong Toei","Bang Kapi","Phitsanulok"],"frame_perspective":[],"analysis_type":["material flow analysis","behavioural analysis"]},{"id":"sei-002425","url":"https://climateinsightsdirectory.org/document/sei-002425","title":"Older People and Climate Change","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2010","source_url":"https://www.sei.org/mediamanager/documents/Publications/Climate-mitigation-adaptation/pr - old people and climate change pr 100826lowres.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the relationship between an ageing population and climate change in the UK, noting that older adults—particularly 'baby boomers'—often have the highest carbon footprints. It identifies a gap in public engagement, as older people frequently feel they are neither affected by climate change nor capable of taking personal action. The document critiques top-down communication strategies and recommends a shift toward peer-to-peer interaction, the use of trusted community brands, and positive framing to encourage sustainable behavioural change among the over-50s.","ai_generated":true,"unit":"sei-002425#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Baby boomers (aged 50-64) have the highest average carbon footprint of any age group in the UK, at 13.5 CO2 tonnes per capita, followed by seniors (65-74) at 12.9 and elders (75+) at 12.0.","ai_generated":true,"unit":"sei-002425#insight-1","date_modified":"2026-10-23"},{"text":"There is a 'replacement effect' where the baby boomer generation, characterized by higher consumption and leisure-oriented lifestyles, is moving into older age groups and replacing previous low-carbon habits.","ai_generated":true,"unit":"sei-002425#insight-2","date_modified":"2026-10-23"},{"text":"Older people are more vulnerable to climate change due to potential physical, financial, and emotional fragility, as well as a higher likelihood of deteriorating health.","ai_generated":true,"unit":"sei-002425#insight-3","date_modified":"2026-10-23"},{"text":"Survey data indicates that older people (over 55s) are less likely than younger people to believe they will be affected by climate change or that they can personally help reduce it through behavioural changes.","ai_generated":true,"unit":"sei-002425#insight-4","date_modified":"2026-10-23"},{"text":"Top-down mass information campaigns are often ineffective for older people; instead, direct peer-to-peer interaction and the use of trusted agencies (such as Age Concern or faith groups) are more successful in promoting sustainable living.","ai_generated":true,"unit":"sei-002425#insight-5","date_modified":"2026-10-23"},{"text":"The report recommends ten specific strategies for engagement, including abandoning stereotypes of older people as passive, using positive messaging instead of guilt, and providing infrastructural support such as improved rural bus services and grants for renewable energy systems.","ai_generated":true,"unit":"sei-002425#insight-6","date_modified":"2026-10-23"}],"climate_tags":["carbon footprint","climate change adaptation","sustainable consumption","climate change vulnerability","transportation","energy efficiency"],"geography_discussed":["Swindon","London Borough of Hackney","Wales"],"frame_perspective":[],"analysis_type":["socio-economic analysis","behavioural analysis","policy recommendations"]}]}