{"query_echo":{"q":"","filters":{"analysis_type":["econometric modeling"]},"warnings":[]},"total":{"value":23,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=econometric+modeling","next":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=econometric+modeling&page=2","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":"zca-000076","url":"https://climateinsightsdirectory.org/document/zca-000076","title":"Climate extremes in the UK are driving up lamb prices for consumers","publisher":{"name":"Zero Carbon Analytics","organization":"zero-carbon-analytics"},"document_type":"briefing","language":"en","date_published":"2026-04-03","source_url":"https://zerocarbon-analytics.org/insights/climate-extremes-in-the-uk-are-driving-up-lamb-prices-for-consumers/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Analysis by Zero Carbon Analytics indicates that consecutive climate extremes in the UK—including the 2022 drought, the 2023/2024 wet winter, and the 2025 drought—have repeatedly driven up farmgate lamb prices. The 2023/2024 wet winter had the most significant impact, increasing prices by an estimated 25%. For the 2.6 million UK households that regularly purchase lamb, these events added up to GBP 168 to their grocery bills. The report highlights a 'climate premium' on traditional Easter lamb roasts since 2023, with price increases ranging from 7% to 21%. The findings suggest that while biological grass systems show some recovery, the market buffer of hay stocks has been progressively depleted, increasing the sensitivity of prices to new climate shocks.","ai_generated":true,"unit":"zca-000076#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The UK experienced three consecutive seasonal climate extremes between 2022 and 2025: a summer drought in 2022, an unusually wet winter-autumn storm season in 2023/2024, and the warmest spring and summer on record in 2025.","ai_generated":true,"unit":"zca-000076#insight-1","date_modified":"2026-10-23"},{"text":"Farmgate lamb prices in Great Britain rose significantly following each extreme weather event: the 2022 drought increased prices by approximately 11%, the 2023/2024 wet winter by about 25%, and the 2025 drought by an additional 13%.","ai_generated":true,"unit":"zca-000076#insight-2","date_modified":"2026-10-23"},{"text":"Climate extremes have had a substantial financial impact on the 2.6 million UK households that regularly buy lamb (averaging 24.3 kg per year), adding a cumulative estimated GBP 168 to their grocery bills across the three events.","ai_generated":true,"unit":"zca-000076#insight-3","date_modified":"2026-10-23"},{"text":"Traditional 2 kg Easter lamb roasting joints have carried a 'climate premium' every year since 2023, with additional costs of GBP 1.8 (6.5%) in 2023, GBP 5 (17.5%) in 2024, GBP 6.8 (21%) in 2025, and a projected GBP 4 (13.2%) for 2026.","ai_generated":true,"unit":"zca-000076#insight-4","date_modified":"2026-10-23"},{"text":"The resilience of the UK hay market has been eroded by successive climate shocks, with hay prices in 2025 running approximately 20% higher than current climate conditions alone would predict due to the depletion of carryover buffer stocks.","ai_generated":true,"unit":"zca-000076#insight-5","date_modified":"2026-10-23"},{"text":"Climate-driven production costs and supply constraints are contributing to broader food inflation in the UK; beef and veal were identified as two of six food products most strongly driving UK food inflation since 2020.","ai_generated":true,"unit":"zca-000076#insight-6","date_modified":"2026-10-23"}],"climate_tags":["extreme weather event","food system","agricultural production","drought"],"geography_discussed":["Ireland","England","Scotland","Wales","Northern Ireland"],"frame_perspective":[],"analysis_type":["econometric modeling","impact assessment"]},{"id":"zca-000114","url":"https://climateinsightsdirectory.org/document/zca-000114","title":"Technical appendix for Climate extremes in the UK are driving up lamb prices for consumers","publisher":{"name":"Zero Carbon Analytics","organization":"zero-carbon-analytics"},"document_type":"research paper","language":"en","date_published":"2026-03","source_url":"https://zerocarbon-analytics.org/wp-content/uploads/2026/03/Technical-Appendix-Climate-extremes-in-the-UK-are-driving-up-lamb-prices-for-consumers-2026-03.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document details a rolling-window ordinary least squares (OLS) regression model used to analyze the impact of climate extremes on UK lamb prices. It finds that both short-term drought (6-month window) and prolonged wet conditions (12-month window) drive prices up, while a 'pork falsification test' confirms this mechanism is specific to grass-fed lamb. Robustness checks, including CPI deflation and out-of-sample prediction, support the validity of the climate transmission signal. The analysis specifically isolates a 'drought premium' of 92p/kg farmgate for the 2025 drought and notes that the hay market's sensitivity to rainfall anomalies has strengthened over time.","ai_generated":true,"unit":"zca-000114#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The core model identifies two distinct rainfall-driven price pressures: drier conditions over a 6-month horizon push prices up (coefficient -0.00644, NW P = 0.006), while prolonged wet conditions over a 12-month horizon also increase prices (coefficient +0.00852, NW P = 0.010).","ai_generated":true,"unit":"zca-000114#insight-1","date_modified":"2026-10-23"},{"text":"A 'pork falsification test' used as a negative control demonstrated that rainfall has no statistically significant predictive power for pork prices, confirming that the observed price increases in lamb are linked to the grass-fed supply chain rather than general economic trends.","ai_generated":true,"unit":"zca-000114#insight-2","date_modified":"2026-10-23"},{"text":"The UK lamb market is largely self-contained, as the addition of the FAO global ovine meat price index to the model resulted in the index being non-significant (P = 0.50) and had negligible impact on rainfall coefficients.","ai_generated":true,"unit":"zca-000114#insight-3","date_modified":"2026-10-23"},{"text":"Analysis of the 2025 drought, using a counterfactual to isolate its effect from the preceding wet winter, found a mean drought premium of 92p/kg farmgate from March to October 2025, which equates to GBP 2.47 per household over that period.","ai_generated":true,"unit":"zca-000114#insight-4","date_modified":"2026-10-23"},{"text":"While there is no evidence that grass growth sensitivity to rainfall is worsening over time (P = 0.63), the hay market shows a significant rainfall x year interaction (P = 0.007), indicating that hay price responses to rainfall anomalies have strengthened.","ai_generated":true,"unit":"zca-000114#insight-5","date_modified":"2026-10-23"}],"climate_tags":["drought","extreme weather event","food price"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["econometric modeling","robustness testing","counterfactual analysis"]},{"id":"eninnova-000046","url":"https://climateinsightsdirectory.org/document/eninnova-000046","title":"Clean Energy as Economic Development: An Analysis of the Greenhouse Gas Reduction Fund","publisher":{"name":"Energy Innovation","organization":"energy-innovation"},"document_type":"research paper","language":"en","date_published":"2025-05-12","source_url":"https://energyinnovation.org/wp-content/uploads/An-Analysis-of-the-Greenhouse-Gas-Reduction-Fund.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report evaluates the $27 billion Greenhouse Gas Reduction Fund (GGRF) as an economic development tool. Using the Energy Policy Simulator, Energy Innovation estimates that the fund's $24 billion in financial assistance will generate 36,000 to 41,000 annual jobs, $21.3 to $23.9 billion in wages (2025-2031), and $52 billion in consumer energy savings over 20 years. The GGRF operates through national-scale 'Green Banks' via the National Clean Investment Fund and local-level initiatives like the Solar For All and Clean Communities Investment Accelerator programs to mobilize private capital and support disadvantaged communities.","ai_generated":true,"unit":"eninnova-000046#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Econometric modeling of the $24 billion in GGRF funding targeted for project financial assistance predicts an average annual increase of 36,000 to 41,000 jobs compared to current policies. This includes 9,500 to 10,800 manufacturing jobs and 7,700 to 8,800 construction jobs.","ai_generated":true,"unit":"eninnova-000046#insight-1","date_modified":"2026-10-23"},{"text":"The GGRF is estimated to generate between $21.3 billion and $23.9 billion in additional wages earned from 2025 to 2031 and provide consumers with $52 billion in energy cost savings over the next 20 years.","ai_generated":true,"unit":"eninnova-000046#insight-2","date_modified":"2026-10-23"},{"text":"The fund's total projected investment in the U.S. economy is $65.5 billion, with new solar projects expected to generate enough power for up to 2.2 million homes annually.","ai_generated":true,"unit":"eninnova-000046#insight-3","date_modified":"2026-10-23"},{"text":"The GGRF implements its goals through three primary programs: the $14 billion National Clean Investment Fund (NCIF) to create national-scale 'Green Banks', the $7 billion Solar For All program for low-income residential solar, and the $6 billion Clean Communities Investment Accelerator (CCIA) to support local lenders.","ai_generated":true,"unit":"eninnova-000046#insight-4","date_modified":"2026-10-23"},{"text":"Early implementation reports indicate over $4 billion in local investments are already on track across all 50 states, including a $31.8 million commercial solar project in Arkansas and $39 million for green affordable housing in New York and Oregon.","ai_generated":true,"unit":"eninnova-000046#insight-5","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions reduction","renewable energy","energy efficiency","solar energy","rooftop photovoltaic system","Community solar farm","Green bank","climate finance","industrial policy","workforce development"],"geography_discussed":["Arkansas","Oregon","New York","Connecticut"],"frame_perspective":[],"analysis_type":["econometric modeling","policy analysis"]},{"id":"clipolin-000013","url":"https://climateinsightsdirectory.org/document/clipolin-000013","title":"The Value of Tropical Forests to Hydropower","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2024-06-24","source_url":"https://www.climatepolicyinitiative.org/working-papers/the-value-of-tropical-forests-to-hydropower/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research establishes a method to quantify the impact of tropical deforestation on hydropower capacity. Using the Teles Pires plant in Brazil as a case study, the author analyzes the value of restoring deforested Amazon regions and the potential costs associated with deforesting Indigenous Territories, demonstrating the critical link between forest preservation and energy sector stability.","ai_generated":true,"unit":"clipolin-000013#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Tropical forests influence water supply for hydropower energy generation by significantly impacting rainfall patterns on a continental scale.","ai_generated":true,"unit":"clipolin-000013#insight-1","date_modified":"2026-10-23"},{"text":"The study applies a new valuation method to the Teles Pires hydropower plant in Brazil, which is among the ten largest plants in a nation where hydropower serves as the primary energy source.","ai_generated":true,"unit":"clipolin-000013#insight-2","date_modified":"2026-10-23"},{"text":"The research provides evidence for the energy sector's reliance on tropical forest ecosystem services through ex-post mapping of restoration values in the Amazon and ex-ante mapping of the costs of deforesting Indigenous Territories.","ai_generated":true,"unit":"clipolin-000013#insight-3","date_modified":"2026-10-23"}],"climate_tags":["hydropower","ecosystem service","rain"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["econometric modeling","ex-post analysis","ex-ante analysis"]},{"id":"clipolin-000748","url":"https://climateinsightsdirectory.org/document/clipolin-000748","title":"Desafios do Seguro Rural no Contexto das Mudanças Climáticas","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"pt","date_published":"2023-04","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2023/04/PB-Desafios-do-Seguros-Rural-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the gap between soybean production and rural insurance coverage in Brazil, highlighting how climate change exacerbates risks through extreme events. Using LASSO machine learning models, researchers demonstrate that while insurance data is scarce in regions like the North and Northeast, agricultural yield data can effectively identify climate variables—primarily precipitation, fire risk, and wind—that drive production losses. The brief argues for expanding insurance to vulnerable regions like MATOPIBA and improving the solvency of insurers through reinsurance and public-private funds to support a low-carbon agricultural transition.","ai_generated":true,"unit":"clipolin-000748#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change is increasing the frequency of extreme events in Brazil, such as prolonged droughts, hail, and frost, which has led to a substantial rise in rural insurance claims. In the 2021/2022 agricultural year, severe drought caused insurance indemnities to increase more than fourfold compared to the previous harvest.","ai_generated":true,"unit":"clipolin-000748#insight-1","date_modified":"2026-10-23"},{"text":"Rural insurance in Brazil is highly concentrated in the South and Midwest regions, failing to keep pace with the expansion of soybean production in other areas. For example, in the MATOPIBA region (Maranhão, Tocantins, Piauí, and Bahia), the growth of insurance coverage has not been proportional to the increase in production.","ai_generated":true,"unit":"clipolin-000748#insight-2","date_modified":"2026-10-23"},{"text":"Machine learning models (LASSO) reveal that precipitation, fire risk, and wind are the most relevant climate variables for explaining agricultural losses across Brazil. The models show that the correlation between these variables and losses varies by region according to planting and harvesting cycles; for instance, the South shows higher correlation in September and November (planting), while the Midwest peaks in March (harvest).","ai_generated":true,"unit":"clipolin-000748#insight-3","date_modified":"2026-10-23"},{"text":"There is a significant data gap in the North and Northeast regions that hinders the ability of insurance-based models to predict claims. However, when using average yield data from PAM/IBGE instead of insurance records, the models can effectively explain production losses in the Northeast, suggesting that the lack of insurance is due to high risk and low data availability rather than an inability to model the climate impact.","ai_generated":true,"unit":"clipolin-000748#insight-4","date_modified":"2026-10-23"},{"text":"The Brazilian reinsurance market is growing but remains highly concentrated. While IRB Brasil held 89% of premiums in the 2011/12 harvest, this dropped to 38% by 2021/22 as foreign companies increased their participation, which helps dilute risks globally.","ai_generated":true,"unit":"clipolin-000748#insight-5","date_modified":"2026-10-23"}],"climate_tags":["climate change","extreme weather event","drought","climate change adaptation","climate change mitigation"],"geography_discussed":["MATOPIBA","South","Northeast","Southeast"],"frame_perspective":[],"analysis_type":["policy brief","econometric modeling","geographic mapping"]},{"id":"clipolin-000667","url":"https://climateinsightsdirectory.org/document/clipolin-000667","title":"MINING ROYALTIES AND SOCIOECONOMIC DEVELOPMENT IN PARÁ","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2022-07","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2022/06/METHODOLOGY_MINING-ROYALTIES-PARA_EN.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research employs a Fixed Effect design to analyze how mining royalties per capita correlate with socioeconomic indicators (health, education, employment, and income) and homicide rates, as well as municipal fiscal spending. While simple correlations suggest mining royalties improve socioeconomic outcomes and increase violence, the application of municipality and year fixed effects removes the statistical significance for economic outcomes and reveals a negative correlation with homicide rates. In terms of fiscal impact, an increase of R$ 1 in mining royalties is associated with a corresponding R$ 1 increase in total expenditures, primarily affecting public sector wages and pensions, followed by health and education. The study also notes that mining royalties are not associated with increased urban property tax (IPTU) revenue, suggesting a potential reduction in fiscal effort by benefited municipalities.","ai_generated":true,"unit":"clipolin-000667#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"When using a methodology that does not account for fixed characteristics of municipalities, mining royalties show positive and statistically significant correlations with health, education, employment, income, and violence. However, after netting out municipality and year fixed effects, no statistical significance is found for economic outcomes, and the correlation with the homicide rate becomes negative.","ai_generated":true,"unit":"clipolin-000667#insight-1","date_modified":"2026-10-23"},{"text":"An increase of R$ 1 in mining royalties is associated with an equal increase of R$ 1 in total expenditures, split evenly between current and capital expenses. The areas most affected by these increases are public sector wages and pensions, followed by health and education expenses.","ai_generated":true,"unit":"clipolin-000667#insight-2","date_modified":"2026-10-23"},{"text":"Mining royalties do not correlate with an increase in fiscal revenue from the urban property tax (IPTU), which the authors suggest may indicate that these royalties reduce the fiscal effort of the municipalities receiving them.","ai_generated":true,"unit":"clipolin-000667#insight-3","date_modified":"2026-10-23"}],"climate_tags":["public finance"],"geography_discussed":["Brazil"],"frame_perspective":[],"analysis_type":["statistical analysis","econometric modeling"]},{"id":"clipolin-000502","url":"https://climateinsightsdirectory.org/document/clipolin-000502","title":"GOVERNANCE, AREA OF INFLUENCE, AND ENVIRONMENTAL RISKS OF TRANSPORT INFRASTRUCTURE INVESTMENTS: CASE STUDIES IN THE STATE OF PARÁ","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"case study","language":"en","date_published":"2021-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2021/09/Estudos-de-Caso-EN-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes four federal transport projects in Pará: Ferrogrão, BR-155/158, BR-163/230/MT/PA, and BR-230. Using a 'market access approach,' the authors quantify the risk of deforestation and the associated costs of mitigation. The findings highlight a systemic lack of transparency in project documentation and a significant environmental risk, with the four projects potentially endangering nearly 7,000 square kilometers of native Amazon vegetation. The study argues that the state of Pará should engage with the Federal Government to incorporate deforestation control funding into project designs.","ai_generated":true,"unit":"clipolin-000502#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The four analyzed federal infrastructure projects—Ferrogrão, BR-155/158, BR-163/230/MT/PA, and BR-230—collectively risk nearly 7,000 square kilometers of native Amazon vegetation, with 3,800 square kilometers located within the state of Pará.","ai_generated":true,"unit":"clipolin-000502#insight-1","date_modified":"2026-10-23"},{"text":"Mitigating the deforestation risks for these four projects would require an annual investment of US$ 43 million, with US$ 23 million specifically for actions in Pará, based on a mitigation cost of US$ 5/tCOe.","ai_generated":true,"unit":"clipolin-000502#insight-2","date_modified":"2026-10-23"},{"text":"There is a significant transparency problem regarding federal infrastructure projects, as socio-environmental studies and documents were often unavailable or difficult to access, even when requested via the Information Access Law (LAI).","ai_generated":true,"unit":"clipolin-000502#insight-3","date_modified":"2026-10-23"},{"text":"The BR-163/230/MT/PA project presents the highest individual deforestation risk among the cases, with a projected loss of 3,670 square kilometers over 30 years, including 1,857 square kilometers in Pará.","ai_generated":true,"unit":"clipolin-000502#insight-4","date_modified":"2026-10-23"},{"text":"The BR-155/158 project is in its initial phase and shows a higher rate of compliance with the DNIT manual (83%) compared to the average of other analyzed projects (54%), and it is the only one to consider 'riverine communities' in its Terms of Reference.","ai_generated":true,"unit":"clipolin-000502#insight-5","date_modified":"2026-10-23"},{"text":"The Ferrogrão railroad project is currently suspended by a court decision regarding the boundaries of Jamanxim National Park, which provides an opportunity for the state of Pará to propose demands during project re-analysis.","ai_generated":true,"unit":"clipolin-000502#insight-6","date_modified":"2026-10-23"}],"climate_tags":["deforestation","greenhouse gas emissions","climate finance"],"geography_discussed":["Brazil","Mato Grosso","Q43695","Amazonas"],"frame_perspective":[],"analysis_type":["case study","econometric modeling","policy analysis"]},{"id":"iejza-000253","url":"https://climateinsightsdirectory.org/document/iejza-000253","title":"FISCAL POLICY IN SOUTH AFRICA: CLOSED INPUT-OUTPUT INCOME AND EMPLOYMENT MULTIPLIERS","publisher":{"name":"Institute for Economic Justice","organization":"institute-for-economic-justice"},"document_type":"research paper","language":"en","date_published":"2020-03-03","source_url":"https://iej.org.za/wp-content/uploads/2020/04/Multipliers-for-income-and-employment-Research-note-IEJ-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research paper calculates fiscal multipliers for South Africa using a closed input-output model based on 2018 data. It finds that the average income multiplier is 1.68 and the employment multiplier is 6.9, suggesting that public spending has a significant positive impact on GDP and job creation. The authors argue that the South African government's 2020 Budget, which proposes spending reductions of approximately R48 billion, will likely reduce GDP by R81 billion and destroy approximately 330,000 jobs due to these high multipliers and the existing negative output gap.","ai_generated":true,"unit":"iejza-000253#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The estimated average income multiplier for South Africa in 2018 is 1.68, meaning R1 billion of extra spending generates R1.68 billion in extra income.","ai_generated":true,"unit":"iejza-000253#insight-1","date_modified":"2026-10-23"},{"text":"The average employment multiplier is 6.9, indicating that an increase of R1 million in expenditure leads to the creation of approximately 7 jobs.","ai_generated":true,"unit":"iejza-000253#insight-2","date_modified":"2026-10-23"},{"text":"Including both induced consumption and induced investment effects raises the income multiplier to 1.87, while considering only the induced consumption effect results in a multiplier of 1.50.","ai_generated":true,"unit":"iejza-000253#insight-3","date_modified":"2026-10-23"},{"text":"The authors predict that the proposed R48 billion reduction in public spending in the 2020 Budget will reduce South Africa's GDP by R81 billion between 2020 and 2022, representing a decline of about 0.5 percentage points.","ai_generated":true,"unit":"iejza-000253#insight-4","date_modified":"2026-10-23"},{"text":"The 2020 austerity measures are projected to result in the loss of approximately 330,000 jobs.","ai_generated":true,"unit":"iejza-000253#insight-5","date_modified":"2026-10-23"},{"text":"South Africa's economy is characterized by a significant negative output gap, with actual growth (0.4-0.8% per annum) consistently lower than potential growth (estimated at 1.9%-2.3%).","ai_generated":true,"unit":"iejza-000253#insight-6","date_modified":"2026-10-23"}],"climate_tags":["fiscal policy","economic growth","infrastructure investment"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["impact analysis","econometric modeling"]},{"id":"clipolin-000760","url":"https://climateinsightsdirectory.org/document/clipolin-000760","title":"Os impactos ambientais da Ferrogrão: Uma avaliação ex-ante dos riscos de desmatamento","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"pt","date_published":"2020-03","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2020/03/PB_Os-impactos-ambientais-da-Ferrograo-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The policy brief estimates that the construction of the EF-170 Ferrogrão railway will induce the deforestation of 2,043 square kilometers of native vegetation in Mato Grosso if no mitigation measures are implemented. This land-use change is projected to release 75 million tonnes of carbon, representing an environmental cost of approximately US$ 1.9 billion, which is about 60% of the project's estimated implementation cost of US$ 3.1 billion. The analysis uses a 'market access' approach to show how improved logistics for grain producers will increase demand for land, specifically affecting 38 municipalities.","ai_generated":true,"unit":"clipolin-000760#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The construction of the EF-170 Ferrogrão railway is projected to induce the deforestation of 2,043 square kilometers of native vegetation in the state of Mato Grosso under a 'business-as-usual' scenario without mitigation.","ai_generated":true,"unit":"clipolin-000760#insight-1","date_modified":"2026-10-23"},{"text":"The projected deforestation will result in carbon emissions of 75 million tonnes, which, at a price of US$ 25 per tonne of carbon equivalent, equates to an environmental cost of nearly US$ 1.9 billion.","ai_generated":true,"unit":"clipolin-000760#insight-2","date_modified":"2026-10-23"},{"text":"The environmental cost associated with carbon emissions from deforestation represents approximately 60% of the railway's estimated total implementation cost of US$ 3.1 billion.","ai_generated":true,"unit":"clipolin-000760#insight-3","date_modified":"2026-10-23"},{"text":"The railway is expected to improve market access for 38 municipalities by an average of 8%, which incentivizes farmers and ranchers to expand production and increase demand for land.","ai_generated":true,"unit":"clipolin-000760#insight-4","date_modified":"2026-10-23"},{"text":"The deforestation estimate of 2,043 km² is considered conservative because the model may underestimate current export costs via the Miritituba port, ignore freight reductions in competing corridors (such as BR-163), and overlook potential population growth in benefited municipalities.","ai_generated":true,"unit":"clipolin-000760#insight-5","date_modified":"2026-10-23"},{"text":"The analysis establishes a 95% confidence interval for the induced deforestation between 1,671 square kilometers (US$ 1.55 billion in carbon costs) and 2,416 square kilometers (US$ 2.24 billion in carbon costs).","ai_generated":true,"unit":"clipolin-000760#insight-6","date_modified":"2026-10-23"}],"climate_tags":["deforestation","carbon dioxide emissions","carbon price","land-use change","rail transport","ecosystem service","biodiversity","climate bond","green infrastructure"],"geography_discussed":["Amazon rainforest","Pará","Sinop","Itaituba","Miritituba","Santos","Paranaguá"],"frame_perspective":[],"analysis_type":["ex-ante assessment","econometric modeling","cost-benefit analysis"]},{"id":"clipolin-000761","url":"https://climateinsightsdirectory.org/document/clipolin-000761","title":"The Environmental Impacts of the Ferrogrão Railroad","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"en","date_published":"2020-03","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2020/03/PB_The-Environmental-Impacts-of-the-Ferrograo-Railroad-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document evaluates the environmental risks of the EF-170 Ferrogrão railroad, estimating that without mitigation, the project will induce 2,043 square kilometers of deforestation in Mato Grosso. This land-use change is projected to release 75 million tons of carbon, creating an environmental cost of approximately US$1.9 billion, which represents about 60% of the railroad's estimated US$3.1 billion implementation cost.","ai_generated":true,"unit":"clipolin-000761#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The construction of the EF-170 Ferrogrão railroad is projected to increase deforestation by 2,043 square kilometers in the state of Mato Grosso under a 'business-as-usual' scenario without mitigation measures.","ai_generated":true,"unit":"clipolin-000761#insight-1","date_modified":"2026-10-23"},{"text":"The projected deforestation is estimated to raise carbon emissions by 75 million tons, which, at a price of US$25 per ton, results in an environmental cost of approximately US$1.9 billion.","ai_generated":true,"unit":"clipolin-000761#insight-2","date_modified":"2026-10-23"},{"text":"The estimated environmental cost of US$1.9 billion corresponds to roughly 60% of the railroad's total projected implementation cost of US$3.1 billion.","ai_generated":true,"unit":"clipolin-000761#insight-3","date_modified":"2026-10-23"},{"text":"The railroad's impact is driven by improved market access, which is expected to generate an average improvement of 8% in market access for 38 benefited municipalities, inducing farmers and ranchers to expand production.","ai_generated":true,"unit":"clipolin-000761#insight-4","date_modified":"2026-10-23"},{"text":"The deforestation estimate of 2,043 square kilometers is considered conservative because the model may underestimate Miritituba port export costs, ignore freight reductions on competing corridors like BR-163, and overlook potential population increases in benefited municipalities.","ai_generated":true,"unit":"clipolin-000761#insight-5","date_modified":"2026-10-23"},{"text":"The analysis suggests that the environmental footprint could be reduced through mitigation measures such as the implementation of the forest code, command and control efforts, and payment for ecosystem services (PES) schemes.","ai_generated":true,"unit":"clipolin-000761#insight-6","date_modified":"2026-10-23"}],"climate_tags":["deforestation","carbon dioxide emissions","land use","carbon price","ecosystem service","biodiversity"],"geography_discussed":["Amazon rainforest","Pará","Sinop","Itaituba","Miritituba","Santos","Paranaguá"],"frame_perspective":[],"analysis_type":["ex-ante evaluation","econometric modeling","cost-benefit analysis"]},{"id":"clipolin-000959","url":"https://climateinsightsdirectory.org/document/clipolin-000959","title":"The Forest Awakens: Amazon Regeneration and Policy Spillover","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2019-10","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2021/12/WP002-The-Forest-Awakens.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The research analyzes the relationship between satellite-based law enforcement (DETER) and the growth of secondary vegetation in the Brazilian Amazon from 2004 to 2014. It finds that increased enforcement in a cell's neighborhood significantly increases the probability and area of forest regeneration, supporting a 'deterrence channel' where illegal land use is abandoned. The study suggests that improving monitoring systems to detect secondary vegetation could further increase forest cover.","ai_generated":true,"unit":"clipolin-000959#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Secondary vegetation in the Brazilian Amazon grew by more than 70% between 2004 and 2014, increasing from less than 10 million hectares to more than 17 million hectares.","ai_generated":true,"unit":"clipolin-000959#insight-1","date_modified":"2026-10-23"},{"text":"Environmental law enforcement targeting primary forest loss had a positive spillover effect on tropical regeneration; specifically, increasing the intensity of enforcement in a pixel's neighborhood by one standard deviation increased the regenerated area in that pixel by 6% of the sample mean.","ai_generated":true,"unit":"clipolin-000959#insight-2","date_modified":"2026-10-23"},{"text":"The spillover effect of law enforcement on regeneration is most significant within a 20km radius of a cell, but becomes insignificant beyond that distance.","ai_generated":true,"unit":"clipolin-000959#insight-3","date_modified":"2026-10-23"},{"text":"The results support the 'deterrence channel' over the 'displacement channel', suggesting that stricter enforcement inhibits illegal activity and leads to the abandonment of deforested lands, allowing natural regrowth.","ai_generated":true,"unit":"clipolin-000959#insight-4","date_modified":"2026-10-23"},{"text":"Counterfactual simulations indicate that improving the monitoring system to detect all deforestation patches recorded by the measuring system (PRODES) could increase secondary vegetation cover in the benchmark sample by approximately 280 thousand hectares.","ai_generated":true,"unit":"clipolin-000959#insight-5","date_modified":"2026-10-23"},{"text":"The expansion of secondary vegetation occurred primarily over pasture areas; 65% of cells in the baseline sample with regeneration expansion greater than 10% saw a reduction in pasture area, while cropland saw reductions in only a tiny fraction of cells.","ai_generated":true,"unit":"clipolin-000959#insight-6","date_modified":"2026-10-23"},{"text":"The spillover effect is most pronounced in areas with moderate levels of deforestation; in areas with very high deforestation, land use is too consolidated for regrowth, and in areas with very low deforestation, there is insufficient cleared land for the forest to grow back into.","ai_generated":true,"unit":"clipolin-000959#insight-7","date_modified":"2026-10-23"}],"climate_tags":["deforestation","carbon sequestration","land use"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["spatial analysis","counterfactual simulation","econometric modeling"]},{"id":"clipolin-000333","url":"https://climateinsightsdirectory.org/document/clipolin-000333","title":"A DINÂMICA DA ADOÇÃO DE TECNOLOGIAS AGRÍCOLAS NO BRASIL","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"pt","date_published":"2018-10","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2018/12/A-Dinamica-da-Adocao-de-Tecnologias-Agricolas-no-Brasil.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the adoption of no-till farming, tractors, and fertilizers in Brazil from 2006 to 2017. It finds that while no-till farming has become more spatially decentralized, tractor use has become more concentrated in wealthy, urbanized regions, and fertilizer use has increased without a clear spatial pattern.","ai_generated":true,"unit":"clipolin-000333#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The adoption of no-till farming (Plantio Direto) in Brazil showed a trend of spatial convergence between 2006 and 2017. The percentage of crops using this technique rose from 17.4% to 38.8%, with significant growth in grain-producing municipalities in the Center-West and Matopiba, as well as in parts of southern Rio Grande do Sul.","ai_generated":true,"unit":"clipolin-000333#insight-1","date_modified":"2026-10-23"},{"text":"Tractor use in Brazil experienced spatial divergence between 2006 and 2017, becoming more concentrated in the wealthiest and most urbanized regions of the South and Southeast. The density of tractors per square kilometer increased from 0.25 to 0.35, and the gap in density between high-use (75th percentile) and low-use (25th percentile) municipalities grew by approximately 20%.","ai_generated":true,"unit":"clipolin-000333#insight-2","date_modified":"2026-10-23"},{"text":"The use of fertilizers increased from 25% to 35% of farmers nationwide between 2006 and 2017, but unlike no-till farming or mechanization, this growth did not follow a clear spatial pattern. Growth was observed in diverse areas, including the Cerrado in Mato Grosso and irrigated Caatinga areas on the borders of Bahia, Pernambuco, and Sergipe.","ai_generated":true,"unit":"clipolin-000333#insight-3","date_modified":"2026-10-23"}],"climate_tags":["fertilizer","agricultural productivity","deforestation","carbon sequestration"],"geography_discussed":["Center-West","MATOPIBA","Rio Grande do Sul","South","Southeast","Mato Grosso","Bahia","Q40942","Sergipe"],"frame_perspective":[],"analysis_type":["spatial analysis","econometric modeling"]},{"id":"clipolin-000953","url":"https://climateinsightsdirectory.org/document/clipolin-000953","title":"Developing Brazil’s Market for Distributed Solar Generation","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2017-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2017/10/Working_Paper_-_Distributed_Solar_Photovoltaic_Generation_in_Brazil.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research finds that demand-side factors are the primary drivers of distributed solar PV adoption in Brazil, often outweighing the availability of solar resources. Analysis shows that municipalities with higher GDP, larger populations, and higher electricity tariffs have more PV units, while solar radiation only becomes a significant positive predictor when comparing municipalities within the same electricity distributor's concession area. The authors argue that current subsidy policies in the Northeast region artificially lower tariffs, hindering PV growth in areas with the highest solar potential. They conclude that climate mitigation policies must address demand-side frictions and tariff structures rather than focusing solely on natural resource availability.","ai_generated":true,"unit":"clipolin-000953#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Demand-side factors such as municipal GDP, population size, and electricity tariffs are the primary determinants of distributed solar PV penetration in Brazil, outweighing the influence of solar radiation.","ai_generated":true,"unit":"clipolin-000953#insight-1","date_modified":"2026-10-23"},{"text":"There is a negative correlation between solar radiation and the number of PV units at a national level, meaning municipalities with lower annual solar radiation often have more distributed solar generation units on average.","ai_generated":true,"unit":"clipolin-000953#insight-2","date_modified":"2026-10-23"},{"text":"Solar radiation only shows a significant positive correlation with PV adoption when the analysis is restricted to municipalities within the same electricity distributor's concession area, accounting for specific company policies.","ai_generated":true,"unit":"clipolin-000953#insight-3","date_modified":"2026-10-23"},{"text":"Electricity tariffs in Brazil's Northeast region are kept artificially low due to sector subsidy policies, which inhibits the adoption of distributed solar generation in the region with the highest solar potential.","ai_generated":true,"unit":"clipolin-000953#insight-4","date_modified":"2026-10-23"},{"text":"As of June 2017, distributed solar PV represents 69% of the total capacity and 99% of the total number of units in Brazil's decentralized energy system, though overall penetration remains low at 0.014% of total consumers.","ai_generated":true,"unit":"clipolin-000953#insight-5","date_modified":"2026-10-23"}],"climate_tags":["distributed generation","photovoltaics","renewable energy policy"],"geography_discussed":["Northeast","Southeast","South","Minas Gerais","Rio Grande do Sul","Rio de Janeiro","Paraná"],"frame_perspective":[],"analysis_type":["empirical analysis","econometric modeling","counterfactual simulation"]},{"id":"clipolin-000366","url":"https://climateinsightsdirectory.org/document/clipolin-000366","title":"ASSENTAMENTOS RURAIS E DESMATAMENTO EM PEQUENA ESCALA","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"executive summary","language":"pt","date_published":"2016-12","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2017/02/Assentamentos_Rurais_e_Desmatamento_em_Pequena_Escala_Resumo_PT_Final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"A study by NAPC/CPI found that rural settlements were responsible for 30% of deforestation in the Amazon region in 2014. Notably, Environmentally Differentiated Settlement Projects (PAADs), designed for sustainable production, accounted for 15% of total Amazon deforestation, representing half of the impact caused by all rural settlements.","ai_generated":true,"unit":"clipolin-000366#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Rural settlements were responsible for 30% of the deforestation in the Amazon region in 2014, accounting for both the deforestation within the settlements and in their surrounding areas.","ai_generated":true,"unit":"clipolin-000366#insight-1","date_modified":"2026-10-23"},{"text":"Environmentally Differentiated Settlement Projects (PAADs), which are intended to support sustainable production and extractive activities, contributed 15% of the total deforestation in the Amazon in 2014, which is half of the total deforestation caused by all rural settlements.","ai_generated":true,"unit":"clipolin-000366#insight-2","date_modified":"2026-10-23"},{"text":"The area covered by rural settlements in the Amazon increased by more than 70% between 2002 and 2014, growing from 220,200 km² (4.8% of the territory) to 376,000 km² (8.3% of the territory).","ai_generated":true,"unit":"clipolin-000366#insight-3","date_modified":"2026-10-23"},{"text":"While large-scale deforestation decreased by 80% between 2004 and 2014 due to the DETER satellite monitoring system, small-scale deforestation increased during the same period because it is more difficult to identify.","ai_generated":true,"unit":"clipolin-000366#insight-4","date_modified":"2026-10-23"}],"climate_tags":["deforestation","low-carbon economy"],"geography_discussed":["Ceará"],"frame_perspective":[],"analysis_type":["econometric modeling","satellite data analysis"]},{"id":"clipolin-000559","url":"https://climateinsightsdirectory.org/document/clipolin-000559","title":"Getting Greener by Going Black: The Priority Municipalities in Brazil","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2014-08","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2014/08/Getting-Greener-by-Going-Black-Technical-Paper.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research finds that the blacklisting of priority municipalities in the Brazilian Amazon significantly reduced deforestation, avoiding the clearing of approximately 11,218 to 11,396 km2 of forest from 2008 to 2011. The authors conclude that this effect was primarily driven by intensified monitoring and law enforcement—specifically an increase in the number of fines—rather than economic sanctions. The study demonstrates that the policy had no significant negative impact on agricultural GDP, crop production, or rural credit concessions, suggesting that forest protection in the region does not necessarily constrain agricultural production.","ai_generated":true,"unit":"clipolin-000559#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Priority Municipalities (MPs) policy significantly reduced deforestation in the Brazilian Amazon, avoiding the clearing of 11,218 km2 of forest area from 2008 through 2011.","ai_generated":true,"unit":"clipolin-000559#insight-1","date_modified":"2026-10-23"},{"text":"The reduction in deforestation was primarily driven by the monitoring and law enforcement channel, as the effect of the MPs policy disappears when controlling for the number of fines applied by Ibama.","ai_generated":true,"unit":"clipolin-000559#insight-2","date_modified":"2026-10-23"}],"climate_tags":["deforestation","land use","agricultural production","climate policy"],"geography_discussed":["Paraná","Paragominas"],"frame_perspective":[],"analysis_type":["causal inference","counterfactual analysis","econometric modeling"]},{"id":"ucs-000407","url":"https://climateinsightsdirectory.org/document/ucs-000407","title":"Climate-Friendly Land Use Paths and policies toward a less wasteful planet","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"report","language":"en","date_published":"2013-11","source_url":"https://www.ucs.org/sites/default/files/2019-09/Climate-Friendly-Land-Use.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies systemic waste in global land use, highlighting beef production as the most inefficient sector in terms of land, biomass, and emissions. It argues that the 'nutrition transition' toward animal products is a primary driver of land demand rather than population growth. Through GTAP modeling, the authors demonstrate that shifting diets from beef to chicken could significantly reduce pastureland and cropland needs, freeing land for reforestation and sustainable bioenergy. The report recommends carbon pricing on land-based products, holistic land use planning, and a move away from inflexible biofuel mandates to achieve a more climate-friendly and less wasteful planet.","ai_generated":true,"unit":"ucs-000407#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Beef production is significantly more inefficient than other animal proteins and plant-based foods, requiring vastly more land and biomass for a small fraction of human calories and protein.","ai_generated":true,"unit":"ucs-000407#insight-1","date_modified":"2026-10-23"},{"text":"Beef production generates disproportionately high global warming emissions compared to other protein sources, largely due to methane emissions from cattle.","ai_generated":true,"unit":"ucs-000407#insight-2","date_modified":"2026-10-23"},{"text":"The primary driver of increasing global food and land demand in the twenty-first century is the 'nutrition transition'—a shift toward animal products, vegetable oils, and sugars—rather than population growth.","ai_generated":true,"unit":"ucs-000407#insight-3","date_modified":"2026-10-23"},{"text":"Econometric modeling (GTAP) indicates that shifting global diets from beef to chicken would reduce the need for pastureland and cropland, particularly in the United States and Latin America.","ai_generated":true,"unit":"ucs-000407#insight-4","date_modified":"2026-10-23"},{"text":"Tropical plantations and young secondary forests are far more efficient at producing wood products than mature natural forests, which should instead be prioritized for carbon sequestration and biodiversity.","ai_generated":true,"unit":"ucs-000407#insight-5","date_modified":"2026-10-23"},{"text":"Bioenergy production often competes with food crops for fertile land, regardless of whether non-food feedstocks are used, which can increase food prices and cause indirect land use change.","ai_generated":true,"unit":"ucs-000407#insight-6","date_modified":"2026-10-23"},{"text":"Palm oil has the potential to be a low-emissions crop if grown on degraded land, but it is currently a major driver of deforestation, especially on high-carbon peat soils.","ai_generated":true,"unit":"ucs-000407#insight-7","date_modified":"2026-10-23"},{"text":"The report recommends implementing carbon pricing on food and wood products to shift consumption toward low-emission alternatives and incentivize sustainable production.","ai_generated":true,"unit":"ucs-000407#insight-8","date_modified":"2026-10-23"},{"text":"To avoid threatening food security, the report suggests that biofuel policies should be flexible and based on certification rather than rigid mandates.","ai_generated":true,"unit":"ucs-000407#insight-9","date_modified":"2026-10-23"}],"climate_tags":["deforestation","carbon sequestration","bioenergy","carbon price","land-use planning","agricultural productivity","methane emissions","food security"],"geography_discussed":["Brazil","People's Republic of China","Germany","United States","Australia","Latin America","India","Africa","European Union","Southeast Asia","Amazon rainforest","Indonesia"],"frame_perspective":[],"analysis_type":["econometric modeling","policy analysis","comparative efficiency analysis"]},{"id":"bc3res-000086","url":"https://climateinsightsdirectory.org/document/bc3res-000086","title":"Households’ WTP for the Reliability of Gas Supply","publisher":{"name":"Basque Centre for Climate Change","organization":"basque-centre-for-climate-change"},"document_type":"research paper","language":"en","date_published":"2011-07","source_url":"https://www.bc3research.org/h6T8Uy8Nm4gFs0O/20110707093028186745005.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study examines how the duration of supply disruptions and the season of occurrence affect the economic valuation of gas reliability among households in three European countries. It finds that WTP varies significantly by country and is generally higher for winter disruptions, with Italian households showing the highest valuation.","ai_generated":true,"unit":"bc3res-000086#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The economic impact of natural gas supply disruptions for domestic consumers depends on the duration of the outage, the season in which it occurs, and individual consumer preferences.","ai_generated":true,"unit":"bc3res-000086#insight-1","date_modified":"2026-10-23"},{"text":"Across France, Italy, and the UK, the estimated willingness to pay (WTP) to secure a unit of gas consumption ranges from €2.65/cubic metre to €41.48/cubic metre.","ai_generated":true,"unit":"bc3res-000086#insight-2","date_modified":"2026-10-23"},{"text":"Italian households exhibit the highest WTP for reliability, particularly for long-duration winter outages, with an annual WTP of €75.43 to avoid a 3-day cut during cold months, which is three times higher than the WTP of UK respondents.","ai_generated":true,"unit":"bc3res-000086#insight-3","date_modified":"2026-10-23"},{"text":"In the UK, households are primarily willing to pay to avoid 3-day disruptions during cold months, but the impact of 1-day cuts or any cuts during warm months is not statistically significant.","ai_generated":true,"unit":"bc3res-000086#insight-4","date_modified":"2026-10-23"},{"text":"French households showed a negative WTP for avoiding 3-day disruptions during cold months, which the authors attribute to a perception that such long outages are unlikely to occur based on their experience.","ai_generated":true,"unit":"bc3res-000086#insight-5","date_modified":"2026-10-23"},{"text":"Providing an advanced warning before a supply disruption reduces the economic impact on households; in France, it reduces the potential welfare impact by €0.07/kWh, and in Italy by approximately €0.36/kWh.","ai_generated":true,"unit":"bc3res-000086#insight-6","date_modified":"2026-10-23"},{"text":"The 'security premium' (WTP as a percentage of total gas expenditure) varies widely by country, ranging from 0.35% to 0.45% in France to 15.68% in Italy for avoiding a 3-day winter outage.","ai_generated":true,"unit":"bc3res-000086#insight-7","date_modified":"2026-10-23"}],"climate_tags":["energy security","energy policy","energy infrastructure"],"geography_discussed":["European Union"],"frame_perspective":[],"analysis_type":["economic valuation","choice experiment","econometric modeling"]},{"id":"iisd-001415","url":"https://climateinsightsdirectory.org/document/iisd-001415","title":"Food Security: The Tanzanian Case","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"research paper","language":"en","date_published":"2011","source_url":"https://www.iisd.org/system/files/publications/food_security_tanzanian.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The 2007–08 international food crisis had a modest impact on Tanzania compared to other poor countries, with an estimated 0.5–1% of the population driven into poverty, primarily in urban areas. While short-term government interventions like export bans and tariff reductions showed limited evidence of effectiveness, long-term economic reforms since the early 2000s helped the country maintain agricultural exports. The study highlights a persistent challenge in stabilizing agricultural output growth and suggests that greater integration with global markets could serve as insurance against domestic production shocks.","ai_generated":true,"unit":"iisd-001415#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 2007–08 international food crisis drove between 0.5% and 1% of the Tanzanian population into poverty, as measured by the national poverty line, with these effects primarily clustered in urban regions.","ai_generated":true,"unit":"iisd-001415#insight-1","date_modified":"2026-10-23"},{"text":"Tanzania's agricultural markets are poorly integrated with international markets, yet the sector remained vulnerable to international price shocks, which caused correlations between domestic and international prices to rise rapidly during crises.","ai_generated":true,"unit":"iisd-001415#insight-2","date_modified":"2026-10-23"},{"text":"The Tanzanian government responded to the crisis with trade-related measures, including temporary export bans and lower import tariffs, followed by domestic incentives such as micro-credits for production and subsidies on food consumption via lower excises and value-added tax.","ai_generated":true,"unit":"iisd-001415#insight-3","date_modified":"2026-10-23"},{"text":"Despite the implementation of an export ban, Tanzania actually increased its crop exports during the crisis period, suggesting the policy may not have been effectively enforced.","ai_generated":true,"unit":"iisd-001415#insight-4","date_modified":"2026-10-23"},{"text":"The impact of the food crisis varied by socioeconomic status: lower-income classes and those engaged in agricultural activity were more likely to benefit from rising food prices, while urban residents and highly educated individuals—who are less likely to produce food—suffered negative income effects.","ai_generated":true,"unit":"iisd-001415#insight-5","date_modified":"2026-10-23"},{"text":"While Tanzania increased agricultural output following reforms in the early 2000s, this growth was accompanied by higher production volatility, increasing the population's vulnerability to domestic shocks.","ai_generated":true,"unit":"iisd-001415#insight-6","date_modified":"2026-10-23"}],"climate_tags":["food security","agricultural productivity","trade policy","poverty reduction","smallholder"],"geography_discussed":["East Africa"],"frame_perspective":[],"analysis_type":["impact assessment","policy evaluation","econometric modeling"]},{"id":"prio-001425","url":"https://climateinsightsdirectory.org/document/prio-001425","title":"Globalization, Women’s Economic Rights and Forced Labor","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2007-02","source_url":"https://cdn.cloud.prio.org/files/91c50824-fcc1-4188-8e85-4a40ae41db77/Globalisation Womens Economic Rights and Forced Labour.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The research finds that increased trade openness is associated with better economic rights for women and a lower incidence of forced labor, both in global and developing country samples. In contrast, the level of foreign direct investment (FDI) penetration generally shows no statistically significant impact on these specific labor rights.","ai_generated":true,"unit":"prio-001425#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Countries with higher levels of trade openness tend to provide better economic rights to women and exhibit a lower incidence of forced labor. This relationship remains consistent when analyzing a sub-sample of developing countries and when using instrumental variable regression to control for feedback effects.","ai_generated":true,"unit":"prio-001425#insight-1","date_modified":"2026-10-23"},{"text":"The extent of an economy's penetration by foreign direct investment (FDI), measured as the ratio of accumulated FDI stocks to GDP, generally has no statistically significant impact on women's economic rights or the incidence of forced labor.","ai_generated":true,"unit":"prio-001425#insight-2","date_modified":"2026-10-23"},{"text":"Women's economic rights are found to be better in countries that are more developed, more democratic, and those where the chief executive belongs to a left-wing party. Conversely, rights are lower in countries with a higher percentage of Muslims.","ai_generated":true,"unit":"prio-001425#insight-3","date_modified":"2026-10-23"},{"text":"The ratification of ILO Conventions 100 and 111 (regarding economic discrimination) generally does not significantly impact actual women's economic rights, although ratification of Convention 111 showed an association with better rights when regional dummy variables were included.","ai_generated":true,"unit":"prio-001425#insight-4","date_modified":"2026-10-23"},{"text":"Regarding forced labor, the results for political regimes were inconsistent across different measures; one measure suggested more democratic countries had a higher incidence of forced labor, but this was not supported by the alternative measure used in the study.","ai_generated":true,"unit":"prio-001425#insight-5","date_modified":"2026-10-23"},{"text":"The study suggests that trade openness may promote the realization of core ILO labor rights, specifically the elimination of forced labor and economic discrimination, even if globalization might otherwise weaken the general bargaining position of labor.","ai_generated":true,"unit":"prio-001425#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Western Europe","Northern America","South Asia","North Africa","Middle East"],"frame_perspective":[],"analysis_type":["empirical study","cross-national analysis","econometric modeling"]},{"id":"prio-001702","url":"https://climateinsightsdirectory.org/document/prio-001702","title":"Resource Wealth and the Risk of Civil War Onset: Results from a New Data Set of Natural Resource Rents, 1970–1999","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2005-11","source_url":"https://cdn.cloud.prio.org/files/a679374e-2891-4cba-9ef9-95a102dbdf24/Resource Wealth and the Risk of Civil War Onset Results from a New Dataset of Natural Resource Rents 1970-1999.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The study finds that energy wealth, but not mineral wealth, increases the risk of civil war onset, provided a lower threshold of 25 annual battle deaths is used. The results provide evidence against the 'looting rebels' model, which predicts a non-linear relationship where very high resource wealth eventually deters rebellion, and instead tentatively support state capacity models suggesting that fossil fuel dependence weakens state institutions.","ai_generated":true,"unit":"prio-001702#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The study found no evidence of a non-linear or curvilinear relationship between natural resource rents and civil war onset, contradicting the 'looting rebels' model which suggests that very high resource wealth eventually enables governments to deter rebellion.","ai_generated":true,"unit":"prio-001702#insight-1","date_modified":"2026-10-23"},{"text":"Energy wealth is associated with an increased risk of civil war onset, whereas mineral wealth does not show a statistically significant effect.","ai_generated":true,"unit":"prio-001702#insight-2","date_modified":"2026-10-23"},{"text":"The significance of the link between energy wealth and civil war onset depends heavily on the definition of conflict; the relationship is evident when using a threshold of 25 annual battle deaths, but disappears when using a higher threshold of 1,000 battle deaths.","ai_generated":true,"unit":"prio-001702#insight-3","date_modified":"2026-10-23"},{"text":"The results tentatively support state capacity models, which argue that resource dependence—particularly oil—weakens state institutions and bureaucratic capacity, thereby increasing the risk of conflict.","ai_generated":true,"unit":"prio-001702#insight-4","date_modified":"2026-10-23"},{"text":"The authors argue that previous findings by Fearon and Laitin (2003) regarding oil exports and civil war onset are not robust when the sample is restricted to the post-1970 period.","ai_generated":true,"unit":"prio-001702#insight-5","date_modified":"2026-10-23"}],"climate_tags":["fossil fuel"],"geography_discussed":["Mauritania","Papua New Guinea","Tajikistan"],"frame_perspective":[],"analysis_type":["quantitative analysis","econometric modeling","comparative study"]}]}