{"query_echo":{"q":"","filters":{"geography":["Dhaka"]},"warnings":[]},"total":{"value":42,"relation":"eq"},"page":3,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Dhaka&page=3","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":"prio-001715","url":"https://climateinsightsdirectory.org/document/prio-001715","title":"Rural-Urban Migration, Inequality and Urban Social Disorder","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://cdn.cloud.prio.org/files/d966058f-3028-4c7c-b6ad-b3f3ae1eca44/Rural-Urban Migration Inequality and Urban Social Disorder Evidence from African and Asian Cities.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study finds that rural-urban migration itself does not cause urban violence. Instead, lethal urban political violence is associated with the socioeconomic marginalization of rural-urban migrants—specifically relative deprivation in terms of household assets and access to public services—as well as unequal access to education within the city population.","ai_generated":true,"unit":"prio-001715#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The study finds no statistical evidence that the volume of rural-urban migration is associated with an increase in urban social disturbances, whether lethal or non-lethal.","ai_generated":true,"unit":"prio-001715#insight-1","date_modified":"2026-10-23"},{"text":"Socioeconomic marginalization of rural-urban migrants, specifically relative deprivation regarding household assets, is positively associated with an increase in lethal urban political violence.","ai_generated":true,"unit":"prio-001715#insight-2","date_modified":"2026-10-23"},{"text":"Relative deprivation of rural-urban migrants in terms of access to basic public services also shows a positive association with lethal urban disorder.","ai_generated":true,"unit":"prio-001715#insight-3","date_modified":"2026-10-23"},{"text":"Inequality in access to education among city inhabitants is associated with a higher prevalence of lethal urban violence.","ai_generated":true,"unit":"prio-001715#insight-4","date_modified":"2026-10-23"},{"text":"Lower levels of overall education among city inhabitants are linked to a higher likelihood of lethal urban disorder events.","ai_generated":true,"unit":"prio-001715#insight-5","date_modified":"2026-10-23"},{"text":"Semi-autocratic regimes are found to have higher levels of both lethal and non-lethal urban disorder events compared to both full autocracies and democracies.","ai_generated":true,"unit":"prio-001715#insight-6","date_modified":"2026-10-23"},{"text":"Proximity to ongoing armed conflict has a clear negative effect on the frequency of lethal urban events, meaning cities closer to conflict zones experience more lethal disorder.","ai_generated":true,"unit":"prio-001715#insight-7","date_modified":"2026-10-23"},{"text":"Higher national income levels are associated with increased levels of non-lethal political violence, which the author suggests may be because development provides more resources to fight over.","ai_generated":true,"unit":"prio-001715#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change"],"geography_discussed":["India","China","Thailand","South Africa","Bolivia","New Delhi","Karachi","Johannesburg","Dhaka","Jakarta","Lagos","Kinshasa","Nairobi","Bangkok"],"frame_perspective":[],"analysis_type":["quantitative","cross-sectional time-series","regression analysis"]},{"id":"wri-001530","url":"https://climateinsightsdirectory.org/document/wri-001530","title":"Bangladesh’s Comprehensive Approach to Disaster Management","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"case study","language":"en","date_published":null,"source_url":"https://wriorg.s3.amazonaws.com/s3fs-public/uploads/wrr_case_study_bangladesh_comprehensive_disaster_management.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the transition of Bangladesh's disaster management from a reactive model to a proactive, risk-reduction framework through the Comprehensive Disaster Management Programme (CDMP). It details the vulnerabilities of Bangladesh to cyclones, floods, and climate change, and evaluates the institutional mechanisms and specific outputs of CDMP Phase I (2004-2009). Key achievements include the creation of the Climate Change Cell and the Disaster Management Information Centre, though the report notes challenges such as high civil service turnover and the need to mainstream risk reduction beyond a single ministry.","ai_generated":true,"unit":"wri-001530#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Bangladesh is highly susceptible to natural disasters due to its deltaic geography and monsoon climate, with approximately 25% of the country flooded annually and 60% flooded every four to five years.","ai_generated":true,"unit":"wri-001530#insight-1","date_modified":"2026-10-23"},{"text":"Climate change is projected to increase the frequency and severity of hazards in Bangladesh, specifically through more severe tropical cyclones, erratic monsoon rainfall, rising sea levels, and saltwater intrusion, which threaten the agriculture sector that supports over 60% of the population.","ai_generated":true,"unit":"wri-001530#insight-2","date_modified":"2026-10-23"},{"text":"The 1991 tropical cyclone in the Chittagong region, which killed an estimated 140,000 people, served as the primary catalyst for the Government of Bangladesh to move toward a proactive disaster risk reduction approach.","ai_generated":true,"unit":"wri-001530#insight-3","date_modified":"2026-10-23"},{"text":"CDMP Phase I (2004-2009) established several critical institutional components: the Climate Change Cell for converting global forecasts into impact statements, the Disaster Management Information Centre for 24/7 emergency monitoring, and the Livelihood Adaptation to Climate Change program for farmers in drought and saline-prone areas.","ai_generated":true,"unit":"wri-001530#insight-4","date_modified":"2026-10-23"},{"text":"The program implemented a community-led risk management system involving Community Risk Assessments and Risk Reduction Action Plans, funded by a Local Disaster Risk Reduction Fund; by September 2009, this funded 562 projects benefiting over 600,000 people.","ai_generated":true,"unit":"wri-001530#insight-5","date_modified":"2026-10-23"},{"text":"CDMP Phase I faced significant implementation hurdles, including political unrest, flooding, and Cyclone Sidr, which limited its active period to approximately two and a half years. It also struggled with high civil service turnover, with seven different Secretaries of the Ministry of Food and Disaster Management serving during the five-year period.","ai_generated":true,"unit":"wri-001530#insight-6","date_modified":"2026-10-23"},{"text":"While Phase I succeeded in initiating a paradigm shift in thinking, the mainstreaming of disaster risk reduction remained largely confined to the Ministry of Food and Disaster Management, leading Phase II (2010-2014) to target thirteen key ministries.","ai_generated":true,"unit":"wri-001530#insight-7","date_modified":"2026-10-23"}],"climate_tags":["disaster risk reduction","climate change adaptation","tropical cyclone","flood","drought","early warning system","climate finance"],"geography_discussed":["Chittagong","Cox's Bazar District","Dhaka","Sylhet"],"frame_perspective":[],"analysis_type":["case study","policy evaluation","institutional analysis"]}]}