{"query_echo":{"q":"","filters":{"analysis_type":["panel data analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'panel data 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=panel+data+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":"prio-001598","url":"https://climateinsightsdirectory.org/document/prio-001598","title":"Nature as Patronage? Exploring The Effects of Democratization and Support Coalition Identity on Forest Loss","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2022","source_url":"https://cdn.cloud.prio.org/files/7f42acbe-ff1a-4eba-899d-7c0805fc6d55/Nature as Patronage Exploring The Effects of Democratization and Support Coalition Identity on Forest Loss.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study examines the relationship between political institutions, support coalition identity, and deforestation. Using satellite data and expert-coded regime data, the author finds that while democratization is generally associated with forest loss, this effect is moderated by the support base: democracies with rural supporters are associated with reforestation. Conversely, regimes relying on urban supporters are linked to higher-than-average forest loss globally and in the tropics, potentially reflecting the consumption demands of urbanizing populations.","ai_generated":true,"unit":"prio-001598#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Democratization is generally associated with higher rates of forest loss, but this effect is heterogeneously moderated by the identity of the regime's support coalition.","ai_generated":true,"unit":"prio-001598#insight-1","date_modified":"2026-10-23"},{"text":"Democratic regimes that rely on rural supporters are associated with an average increase in forest cover globally, indicating reforestation.","ai_generated":true,"unit":"prio-001598#insight-2","date_modified":"2026-10-23"},{"text":"Regimes that rely on support from urban groups are associated with higher-than-average forest loss across both global forests and tropical forests.","ai_generated":true,"unit":"prio-001598#insight-3","date_modified":"2026-10-23"},{"text":"Neither democratization nor its interaction with various support coalitions had a statistically significant effect on forest change within the tropical forest sub-sample.","ai_generated":true,"unit":"prio-001598#insight-4","date_modified":"2026-10-23"},{"text":"Regimes dominated by urban business elites are associated with higher-than-average forest loss, with some evidence suggesting a sequential effect where deforestation peaks a few years after these elites enter the coalition.","ai_generated":true,"unit":"prio-001598#insight-5","date_modified":"2026-10-23"},{"text":"Economic size (per capita GDP) is positively associated with forest regrowth globally, supporting the Environmental Kuznets Curve (EKC) hypothesis, although economic growth is associated with deforestation in tropical forests.","ai_generated":true,"unit":"prio-001598#insight-6","date_modified":"2026-10-23"},{"text":"The geographical location of the support coalition (rural vs. urban) is a less salient predictor of forest cover change than the identity of the support groups themselves.","ai_generated":true,"unit":"prio-001598#insight-7","date_modified":"2026-10-23"}],"climate_tags":["deforestation","reforestation","climate change","carbon sink","urbanization"],"geography_discussed":["Indonesia","Kenya","Brazil","Mexico","Morocco","Ethiopia","People's Republic of China"],"frame_perspective":[],"analysis_type":["quantitative","panel data analysis","two-way fixed effects","Mahalanobis distance matching"]},{"id":"prio-001789","url":"https://climateinsightsdirectory.org/document/prio-001789","title":"The conflict – inequality trap? How internal armed conflict affects horizontal inequality","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2019-12-12","source_url":"https://cdn.cloud.prio.org/files/d6348de7-ee47-440b-89e9-d794d051622d/The Conflict-Inequality Trap How Internal Armed Conflict Affects Horizontal Inequality.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The paper examines the relationship between internal armed conflict and horizontal inequality, using regional disparities in human development as a proxy. The authors find that high-intensity, long-duration conflicts (over 1,000 battle deaths and lasting more than 5 years) are associated with significantly higher levels of horizontal inequality in infant mortality, wealth, and education. This inequality persists for many years, with declines only appearing 10-15 years after conflict termination. Sub-national analysis suggests that regions directly exposed to fighting suffer more, further widening the gap. Preliminary findings indicate that neither peace agreements nor UN peacekeeping operations significantly mitigate these increases in horizontal inequality.","ai_generated":true,"unit":"prio-001789#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"High-intensity, long-duration conflicts—defined as those with more than 1,000 battle deaths lasting over five years—are associated with substantially higher levels of horizontal inequality in the post-conflict phase.","ai_generated":true,"unit":"prio-001789#insight-1","date_modified":"2026-10-23"},{"text":"Low-intensity and short-lived conflicts (lasting 1-5 years) do not show a systematic link to increased levels of horizontal inequality.","ai_generated":true,"unit":"prio-001789#insight-2","date_modified":"2026-10-23"},{"text":"The increase in horizontal inequality following high-intensity conflict is observed across multiple human development indicators, including infant mortality, wealth, and education, though not significantly for access to electricity.","ai_generated":true,"unit":"prio-001789#insight-3","date_modified":"2026-10-23"},{"text":"Increases in horizontal inequality are enduring; declines in infant mortality inequality are only statistically significant in the late post-conflict stage, 10-15 years after the conflict ends.","ai_generated":true,"unit":"prio-001789#insight-4","date_modified":"2026-10-23"},{"text":"Sub-national analysis indicates that regions directly exposed to armed conflict experience higher infant mortality rates than regions not affected, suggesting that localized destruction and disruption drive horizontal inequality.","ai_generated":true,"unit":"prio-001789#insight-5","date_modified":"2026-10-23"},{"text":"Preliminary evidence suggests that peace agreements, including comprehensive peace accords, do not effectively alleviate horizontal inequality in the late post-conflict phase.","ai_generated":true,"unit":"prio-001789#insight-6","date_modified":"2026-10-23"},{"text":"The presence of UN peacekeeping operations (PKOs), regardless of mandate size or budget, does not show a discernible mediating effect on reducing post-conflict horizontal inequality.","ai_generated":true,"unit":"prio-001789#insight-7","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Colombia","Sri Lanka","South Sudan"],"frame_perspective":[],"analysis_type":["cross-national study","panel data analysis","sub-national analysis"]},{"id":"clipolin-000455","url":"https://climateinsightsdirectory.org/document/clipolin-000455","title":"Deforestation Slowdown in the Brazilian Amazon: Prices or Policies?","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2015-03","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2012/03/Deforestation-Slowdown-in-the-Brazilian-Amazon-Prices-or-Policies-Technical-Paper.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study finds that while agricultural prices drive deforestation, conservation policies implemented in 2004 and 2008 significantly curbed forest loss. Counterfactual simulations estimate that these policies avoided approximately 73,000 square kilometers of deforestation from 2005 to 2009, equivalent to 2.7 billion tonnes of stored carbon dioxide. The analysis indicates that the deforestation slowdown did not result in a major downturn for the local agricultural sector or municipal GDP per capita.","ai_generated":true,"unit":"clipolin-000455#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Conservation policies introduced in 2004 and 2008 were effective in reducing deforestation in the Brazilian Amazon, avoiding approximately 73,000 square kilometers of forest clearings between 2005 and 2009.","ai_generated":true,"unit":"clipolin-000455#insight-1","date_modified":"2026-10-23"},{"text":"The avoided deforestation is estimated to be equivalent to a store of 2.7 billion tonnes of carbon dioxide, with a calculated monetary value of USD 13.2 billion based on a price of 5 USD/tCO2.","ai_generated":true,"unit":"clipolin-000455#insight-2","date_modified":"2026-10-23"},{"text":"Agricultural output prices are significant drivers of deforestation; specifically, a one standard deviation increase in the crop price index leads to a 0.31 standard deviation increase in municipal deforestation.","ai_generated":true,"unit":"clipolin-000455#insight-3","date_modified":"2026-10-23"},{"text":"Crop prices exhibit a specific timing relationship with deforestation, where clearings are positively associated with price variations occurring before the sowing season (specifically January through September of the previous year).","ai_generated":true,"unit":"clipolin-000455#insight-4","date_modified":"2026-10-23"},{"text":"Cattle prices show a complex dynamic: current price variations are negatively associated with deforestation, while lagged prices are positively associated, consistent with cattle ranching cycles.","ai_generated":true,"unit":"clipolin-000455#insight-5","date_modified":"2026-10-23"},{"text":"The 2004 and 2008 policy turning points—including the PPCDAm, the creation of protected areas, and conditional rural credit—reduced deforestation more significantly in municipalities with tighter land constraints.","ai_generated":true,"unit":"clipolin-000455#insight-6","date_modified":"2026-10-23"},{"text":"The reduction in deforestation did not cause a significant negative impact on local development, with no negative effects found on population trends or municipal GDP per capita.","ai_generated":true,"unit":"clipolin-000455#insight-7","date_modified":"2026-10-23"},{"text":"The agricultural sector did not experience a major downturn during the deforestation slowdown, although the 2004 policy turning point was associated with a 2.1 percentage point decline in the ratio of sowed to municipal area.","ai_generated":true,"unit":"clipolin-000455#insight-8","date_modified":"2026-10-23"}],"climate_tags":["deforestation","carbon dioxide emissions","carbon sink","land-use change","agricultural production"],"geography_discussed":["Amazonas","Mato Grosso","Pará","Rondônia","Brazil"],"frame_perspective":[],"analysis_type":["counterfactual simulation","fixed-effects model","cost-benefit analysis","panel data analysis"]}]}