{"query_echo":{"q":"","filters":{"geography":["MATOPIBA"]},"warnings":[]},"total":{"value":35,"relation":"eq"},"page":2,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=MATOPIBA&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":"clipolin-000999","url":"https://climateinsightsdirectory.org/document/clipolin-000999","title":"Priorities that do not prioritize: The mismatch between the objectives and the application of resources from constitutional funds leads to credit concentration in the rural sector","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"en","date_published":"2022-03-18","source_url":"https://www.climatepolicyinitiative.org/publication/priorities-that-do-not-prioritize-the-mismatch-between-the-objectives-and-the-application-of-resources-from-constitutional-funds-leads-to-credit-concentration-in-the-rural-sector/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The policy brief examines the Constitutional Financing Funds (FCFs) in Brazil's North, Northeast, and Midwest regions. It finds that while FCFs are designed to support small producers and low-income areas, the criteria for 'priority' beneficiaries and geographies have become so broad that they encompass nearly all producers and most municipalities. This lack of strict targeting has led to a concentration of resources in higher-value contracts and a small number of municipalities, particularly in the Matopiba region. Despite this concentration, FCFs remain a critical source of credit for the most underdeveloped municipalities in the North and Northeast, where alternative financing is often unavailable.","ai_generated":true,"unit":"clipolin-000999#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The criteria used to define priority beneficiaries and geographic areas for FCFs are so broad that they fail to effectively prioritize resources. Based on the 2017 Agricultural Census, 99.96% of establishments in FCF regions qualify as priority beneficiaries because they have a gross annual income up to R$ 16 million. Geographically, priority status applies to 97% of municipalities in the Northeast (FNE), 90% in the North (FNO), and 51% in the Midwest (FCO).","ai_generated":true,"unit":"clipolin-000999#insight-1","date_modified":"2026-10-23"},{"text":"Eligibility criteria for priority classes have expanded over time, allowing larger producers more access to funds. For example, until 2010, priority was limited to small-scale producers with gross annual incomes up to R$ 300,000; however, in 2011, a 'small-medium scale' class was created, extending priority status to those with annual gross incomes up to R$ 16 million.","ai_generated":true,"unit":"clipolin-000999#insight-2","date_modified":"2026-10-23"},{"text":"Loose criteria have resulted in the concentration of FCF resources in high-value contracts and specific municipalities. Between the 2013/14 and 2020/21 agricultural years, the top 5% of municipalities receiving rural credit from FCFs held an average of 41% of FNE resources, 36% of FNO resources, and 24% of FCO resources, which exceeds their share of agricultural production value.","ai_generated":true,"unit":"clipolin-000999#insight-3","date_modified":"2026-10-23"},{"text":"The Matopiba region, comprising Tocantins and parts of Maranhão, Piauí, and Bahia, is notable for having municipalities that consistently remained among the top 5% of FCF credit recipients between 2013/14 and 2020/21.","ai_generated":true,"unit":"clipolin-000999#insight-4","date_modified":"2026-10-23"},{"text":"FCFs are vital for producers and municipalities with limited credit market access, especially in the North and Northeast. Between 2013/14 and 2020/21, FCFs were the primary source of rural credit for 78% of FNE municipalities and 59% of FNO municipalities, compared to only 9% in the Midwest (FCO).","ai_generated":true,"unit":"clipolin-000999#insight-5","date_modified":"2026-10-23"},{"text":"Municipalities most dependent on FCFs (where resources account for more than 75% of rural credit) typically exhibit lower development levels, characterized by lower Municipal Human Development Index (MHDI) scores, higher illiteracy rates, and lower average monthly nominal incomes.","ai_generated":true,"unit":"clipolin-000999#insight-6","date_modified":"2026-10-23"}],"climate_tags":["agricultural productivity","deforestation","climate finance","poverty reduction"],"geography_discussed":["MATOPIBA","Q43695","Maranhão","Piauí","Bahia"],"frame_perspective":[],"analysis_type":["policy evaluation","resource allocation analysis"]},{"id":"clipolin-000128","url":"https://climateinsightsdirectory.org/document/clipolin-000128","title":"7 Peculiarities of Rural Credit in the Cerrado: Private resources attracted to finance large producers contrast with scarcity of credit for family farming","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"en","date_published":"2021-08-09","source_url":"https://www.climatepolicyinitiative.org/publication/7-peculiarities-of-rural-credit-in-the-cerrado-private-resources-attracted-to-finance-large-producers-contrast-with-scarcity-of-credit-for-family-farming/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines rural credit in the Cerrado, noting that while the biome accounts for about one-third of Brazil's rural credit and agricultural production, financing is highly concentrated among large producers and public banks. It highlights a growing reliance on private funding sources like Agricultural Credit Notes (LCA) and a significant scarcity of credit for family farming through programs like PRONAF. The authors argue that improving credit access for smaller producers is essential for increasing productivity and reducing deforestation pressures.","ai_generated":true,"unit":"clipolin-000128#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Rural credit in the Cerrado is proportional to its agricultural output, with the biome accounting for approximately one-third of both Brazil's total rural credit and agricultural production. However, this credit is highly concentrated; in the 2019/20 agricultural year, the average contract value in the Cerrado was R$ 224,000, which is 181% higher than the average for other biomes.","ai_generated":true,"unit":"clipolin-000128#insight-1","date_modified":"2026-10-23"},{"text":"Credit access is heavily skewed toward large-scale producers, with 76% of the total credit amount in the 2019/20 agricultural year not tied to any specific program. In contrast, the National Program for Family Farming (PRONAF) only accounted for 4% of the rural credit volume in the biome, significantly lower than the 22% share it holds in the rest of Brazil.","ai_generated":true,"unit":"clipolin-000128#insight-2","date_modified":"2026-10-23"},{"text":"The Cerrado has seen a significant shift toward private funding sources. Agricultural Credit Notes (LCA) and Rural Savings – Unrestricted increased to 19% and 15% of the total credit amount in 2019/20, respectively, having both been close to zero in 2002/03. This indicates the Cerrado attracts more private resources for agriculture than other Brazilian regions.","ai_generated":true,"unit":"clipolin-000128#insight-3","date_modified":"2026-10-23"},{"text":"Public banks dominate the distribution of rural credit in the region, resulting in low market competition. Banco do Brasil was the main credit provider in 72% of the biome's municipalities and responsible for 50% of the total credit volume in 2019/20. Banco do Nordeste was the largest lender in 19% of municipalities, accounting for 5% of the volume.","ai_generated":true,"unit":"clipolin-000128#insight-4","date_modified":"2026-10-23"},{"text":"Agricultural production in the Cerrado is dominated by soy, which accounted for 43% of the total crop value in the biome in 2019 (R$ 63 billion). There is also a notable trend in corn production, where the second crop (safrinha) grew from 37% of total production in 2003 to 82% in 2019, totaling 41 million tons.","ai_generated":true,"unit":"clipolin-000128#insight-5","date_modified":"2026-10-23"},{"text":"There is significant geographic heterogeneity in credit intensity. In 2018, the ratio between rural credit and the Gross Value Added of agriculture was high in São Paulo (0.98), Tocantins (0.88), and Goiás (0.85), but much lower in Maranhão (0.49), Piauí (0.48), and Bahia (0.42).","ai_generated":true,"unit":"clipolin-000128#insight-6","date_modified":"2026-10-23"}],"climate_tags":["agricultural production","deforestation","climate finance","land use"],"geography_discussed":["Brazil","MATOPIBA","Goiás","Mato Grosso","Q43695","São Paulo","Maranhão","Piauí","Bahia","Minas Gerais","Mato Grosso do Sul","Paraná"],"frame_perspective":[],"analysis_type":["policy brief","financial analysis"]},{"id":"clipolin-000330","url":"https://climateinsightsdirectory.org/document/clipolin-000330","title":"PECULIARIDADES DO CRÉDITO RURAL NO CERRADO","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"pt","date_published":"2021-08","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2021/08/7-Peculiaridades-do-Credito-Rural-no-Cerrado.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines rural credit in the Cerrado, noting that while the biome accounts for about one-third of Brazil's rural credit and agricultural production, financing is highly concentrated. Average contract values in the Cerrado are 181% higher than in other biomes, primarily benefiting large-scale soy and cattle producers. While there is a growing trend toward private funding sources like Agribusiness Credit Notes (LCA), public banks—specifically Banco do Brasil—continue to dominate distribution. The study highlights a significant gap in credit access for small and medium producers (Pronaf and Pronamp), arguing that improving this access is essential for increasing productivity and reducing deforestation pressures.","ai_generated":true,"unit":"clipolin-000330#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Rural credit in the Cerrado is proportional to its agricultural output, with the biome representing approximately one-third of both the national rural credit volume and national agricultural production.","ai_generated":true,"unit":"clipolin-000330#insight-1","date_modified":"2026-10-23"},{"text":"Credit is significantly more concentrated in the Cerrado than in other Brazilian biomes; in the 2019/20 agricultural year, the average contract value was R$ 224,000, which is 181% higher than the average in other biomes.","ai_generated":true,"unit":"clipolin-000330#insight-2","date_modified":"2026-10-23"},{"text":"There is a marked disparity in credit access for small and medium producers. In 2019/20, the National Program for Strengthening Family Agriculture (Pronaf) accounted for only 4% of the credit volume in the Cerrado, compared to 22% in the rest of Brazil.","ai_generated":true,"unit":"clipolin-000330#insight-3","date_modified":"2026-10-23"},{"text":"The Cerrado has seen a shift toward private financing sources. Between 2002/03 and 2019/20, the share of Agribusiness Credit Notes (LCA) rose to 19% and Rural Savings - Free (Poupança Rural - Livres) rose to 15% of the total credit value.","ai_generated":true,"unit":"clipolin-000330#insight-4","date_modified":"2026-10-23"},{"text":"Public banks maintain a dominant position in credit distribution with low competition. Banco do Brasil was the primary credit provider in 72% of the biome's municipalities, managing 50% of the credit volume in 2019/20.","ai_generated":true,"unit":"clipolin-000330#insight-5","date_modified":"2026-10-23"},{"text":"Agricultural production in the Cerrado is heavily dominated by soy, which represented 43% of the total agricultural value in the biome in 2019, and 38% of the R$ 50 billion lent to agriculture in the biome in 2019/20.","ai_generated":true,"unit":"clipolin-000330#insight-6","date_modified":"2026-10-23"},{"text":"The Low Carbon Agriculture program (Programa ABC) has experienced significant growth in the Cerrado, with lending increasing from R$ 19 million in 2010/11 to R$ 1 billion in 2019/20.","ai_generated":true,"unit":"clipolin-000330#insight-7","date_modified":"2026-10-23"}],"climate_tags":["sustainable agriculture","deforestation","climate finance","land use"],"geography_discussed":["Brazil","MATOPIBA","Goiás","Mato Grosso","Q43695","Maranhão","Piauí","Bahia","São Paulo","Mato Grosso do Sul","Federal District","Paraná"],"frame_perspective":[],"analysis_type":["financial analysis","policy assessment","geographic analysis"]},{"id":"clipolin-000331","url":"https://climateinsightsdirectory.org/document/clipolin-000331","title":"7 Peculiarities of Rural Credit in the Cerrado","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"policy brief","language":"en","date_published":"2021-08","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2021/08/7-Peculiarities-of-Rural-Credit-in-the-Cerrado.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Cerrado biome accounts for approximately one third of Brazil's rural credit and agricultural production, with a high concentration of financial flows toward large-scale crop production, particularly soy. While the region has attracted more private funding sources like Agricultural Credit Notes (LCA) than other Brazilian biomes, the credit market remains dominated by public banks, specifically Banco do Brasil. There is a significant scarcity of credit for small and medium producers, as programs like PRONAF represent only 4% of the rural credit volume in the biome. The report argues that improving credit access for smaller producers is essential for increasing productivity and reducing deforestation pressures.","ai_generated":true,"unit":"clipolin-000331#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Rural credit in the Cerrado is highly concentrated and proportional to the biome's agricultural output, with the Cerrado accounting for roughly one third of both Brazil's rural credit and agricultural production. Average contract values in the Cerrado were R$ 224,000 in 2019/20, which is 181% higher than the average for other biomes.","ai_generated":true,"unit":"clipolin-000331#insight-1","date_modified":"2026-10-23"},{"text":"Crop production, dominated by soy, receives the bulk of financing. In the 2019/20 agricultural year, 68% of total contract amounts in the Cerrado went to crop production, with soy alone accounting for 38% of the R$ 50 billion loaned for crops.","ai_generated":true,"unit":"clipolin-000331#insight-2","date_modified":"2026-10-23"}],"climate_tags":["deforestation","sustainable agriculture","smallholder","land use"],"geography_discussed":["Brazil","MATOPIBA"],"frame_perspective":[],"analysis_type":["policy analysis","financial analysis"]},{"id":"clipolin-000824","url":"https://climateinsightsdirectory.org/document/clipolin-000824","title":"Gerenciamento de Risco na Agricultura Brasileira: Instrumentos, Políticas Públicas e Perspectivas","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"pt","date_published":"2020-08","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2020/08/Relatorio-Gerenciamento-de-Risco-na-Agricultura-Brasileira-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes Brazil's agricultural risk management landscape, highlighting a significant gap in insurance coverage compared to global peers like the US and China. It examines key programs such as the PSR, Proagro, Garantia-Safra, and PGPM, noting high market concentration and a heavy reliance on credit over insurance. The authors argue that inadequate risk management leads to underinvestment and inefficient land use, recommending a shift in public funding from rural credit to insurance subsidies and the expansion of the Agricultural Climate Risk Zoning (ZARC) system.","ai_generated":true,"unit":"clipolin-000824#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Brazil's agricultural insurance market is underdeveloped compared to other major producers; only 15% of cultivated area is insured, whereas the US covers approximately 90%, China 70%, and India 40%.","ai_generated":true,"unit":"clipolin-000824#insight-1","date_modified":"2026-10-23"},{"text":"The Brazilian rural insurance market is highly concentrated, with only 14 insurers present in 2019 and a single company, Brasilseg Companhia de Seguros, controlling over 52.3% of the market.","ai_generated":true,"unit":"clipolin-000824#insight-2","date_modified":"2026-10-23"},{"text":"Public funding is heavily skewed toward rural credit rather than risk management; for the 2019/20 agricultural year, nearly R$ 225.6 billion was allocated to credit programs (PAP and Pronaf), while the PSR subsidy average between 2010 and 2019 was around R$ 383.6 million.","ai_generated":true,"unit":"clipolin-000824#insight-3","date_modified":"2026-10-23"},{"text":"The Programa de Subvenção ao Prêmio do Seguro Rural (PSR) is heavily concentrated in soybean crops, which accounted for 49% of the insured value between 2006 and 2018.","ai_generated":true,"unit":"clipolin-000824#insight-4","date_modified":"2026-10-23"},{"text":"The Proagro program provides broader geographic and crop coverage than the PSR, covering 58.5% of municipalities compared to the PSR's 38.2%, with a strong concentration in the South region, particularly Rio Grande do Sul.","ai_generated":true,"unit":"clipolin-000824#insight-5","date_modified":"2026-10-23"},{"text":"The Agricultural Climate Risk Zoning (ZARC) system has significantly reduced production risks, generating an estimated economy of R$ 16.8 billion for agribusiness in 2018.","ai_generated":true,"unit":"clipolin-000824#insight-6","date_modified":"2026-10-23"},{"text":"The re-insurance market in Brazil is dominated by two firms, IRB Brasil Resseguros S/A and SCOR Brasil Resseguros S/A, who together held over 80% of the market in 2019.","ai_generated":true,"unit":"clipolin-000824#insight-7","date_modified":"2026-10-23"},{"text":"Market failures in rural insurance lead producers to make inefficient production decisions, such as avoiding high-return technologies or failing to specialize crops to protect against natural and price risks, which negatively impacts productivity and land use.","ai_generated":true,"unit":"clipolin-000824#insight-8","date_modified":"2026-10-23"},{"text":"The Garantia-Safra program serves as a conditional benefit for low-income family farmers in the semi-arid region, paying R$ 850 (in five installments) to eligible producers since the 2013/14 agricultural year.","ai_generated":true,"unit":"clipolin-000824#insight-9","date_modified":"2026-10-23"}],"climate_tags":["climate risk management","agricultural productivity","land use","climate change","sustainable agriculture"],"geography_discussed":["United States","People's Republic of China","India","European Union","France","Spain","Italy","Germany","Turkey","Russia","Japan","Indonesia","Mexico","Rio Grande do Sul","MATOPIBA"],"frame_perspective":[],"analysis_type":["policy evaluation","comparative analysis","empirical analysis"]},{"id":"clipolin-000827","url":"https://climateinsightsdirectory.org/document/clipolin-000827","title":"Risk Management in Brazilian Agriculture: Instruments, Public Policy, and Perspectives","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2020-08","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2020/08/Report-–-Risk-Management-in-Brazilian-Agriculture.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines Brazil's agricultural risk management landscape, focusing on public policies like PSR, PROAGRO, Garantia-Safra, and PGPM. It highlights a market characterized by high concentration, limited geographic reach, and a heavy reliance on soy insurance. The authors argue that inadequate risk management leads to underinvestment and inefficient land use, suggesting a shift in public funding from rural credit toward insurance and the expansion of market-based price risk instruments.","ai_generated":true,"unit":"clipolin-000827#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Brazil's rural insurance market is highly concentrated, with only 14 insurers present in the 2019/20 agricultural year, and one company, Brasilseg Companhia de Seguros, holding a 52.3% market share.","ai_generated":true,"unit":"clipolin-000827#insight-1","date_modified":"2026-10-23"},{"text":"Access to crop insurance is geographically limited; in 2018, only 41.5% of Brazilian municipalities had crop insurance contracts according to SUSEP data.","ai_generated":true,"unit":"clipolin-000827#insight-2","date_modified":"2026-10-23"},{"text":"Crop insurance in Brazil is heavily dominated by soy, which accounted for 57% of the crop insurance premium volume in 2018.","ai_generated":true,"unit":"clipolin-000827#insight-3","date_modified":"2026-10-23"},{"text":"The Rural Insurance Premium Subsidies Program (PSR) primarily benefits small producers, who received 48.5% of the total subsidy in 2018, although less than 1% of all small producers in Brazil actually benefit from the program.","ai_generated":true,"unit":"clipolin-000827#insight-4","date_modified":"2026-10-23"},{"text":"The Agricultural Activity Guarantee Program (PROAGRO) has a broader geographic reach than PSR, covering 58.5% of municipalities compared to PSR's 38.2% in 2018, with a strong concentration in the Southern Region, particularly Rio Grande do Sul.","ai_generated":true,"unit":"clipolin-000827#insight-5","date_modified":"2026-10-23"},{"text":"Garantia-Safra provides a conditional benefit to family farmers in the semiarid region; in the 2016/17 agricultural year, it paid R$444.1 million to 522,425 producers who suffered losses.","ai_generated":true,"unit":"clipolin-000827#insight-6","date_modified":"2026-10-23"},{"text":"The Minimum Price Guarantee Policy (PGPM) has seen a significant decrease in expenditures, dropping to R$47 million in 2018 from a peak of R$4.4 billion in 2009, partly due to Brazilian currency depreciation since 2011.","ai_generated":true,"unit":"clipolin-000827#insight-7","date_modified":"2026-10-23"},{"text":"Agricultural Climate Risk Zoning (ZARC) has significantly reduced risks and provided savings of approximately R$16.8 billion for agribusiness in 2018.","ai_generated":true,"unit":"clipolin-000827#insight-8","date_modified":"2026-10-23"},{"text":"The Brazilian reinsurance market is highly concentrated, with IBR Brasil Resseguros S/A holding 69% of the market share in 2019, and two companies controlling over 80% of the market.","ai_generated":true,"unit":"clipolin-000827#insight-9","date_modified":"2026-10-23"},{"text":"Compared to other major agricultural producers, Brazil's crop insurance market is underdeveloped, with only 15% of its crop area insured, whereas the US, China, and India have rates of nearly 90%, 70%, and 40% respectively.","ai_generated":true,"unit":"clipolin-000827#insight-10","date_modified":"2026-10-23"}],"climate_tags":["climate risk","land use","sustainable agriculture","climate change"],"geography_discussed":["United States","People's Republic of China","India","European Union","France","Spain","Italy","Germany","Turkey","Russia","Japan","Indonesia","Mexico","Rio Grande do Sul","MATOPIBA"],"frame_perspective":[],"analysis_type":["policy analysis","empirical analysis","international comparison"]},{"id":"sei-001618","url":"https://climateinsightsdirectory.org/document/sei-001618","title":"SEI-PCS: Spatially Explicit Information on Production to Consumption Systems","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"briefing","language":"en","date_published":"2019-03","source_url":"https://www.sei.org/wp-content/uploads/2019/03/sei-2019-p2cs-summary-sei-pcs.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document introduces SEI-PCS, a modeling tool designed to overcome the limitations of traditional country-level footprinting by providing spatially explicit data on production-to-consumption systems. By integrating subnational production data, domestic trade flows, and international customs data, SEI-PCS allows for the tracing of commodities back to their origin to assess impacts such as carbon emissions, biodiversity loss, and deforestation. The tool is the foundation for the Trase initiative, which specifically monitors deforestation risks associated with agricultural commodities like soy in Brazil, Indonesia, and Latin America, helping companies and governments evaluate the effectiveness of zero-deforestation commitments and identify policy 'leakage' effects.","ai_generated":true,"unit":"sei-001618#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Traditional footprinting methods available before 2015 were limited because they estimated footprints at the country level using macroeconomic figures and assumptions, failing to capture the localized nature of issues like deforestation or the heterogeneity of landscapes in large countries such as Brazil.","ai_generated":true,"unit":"sei-001618#insight-1","date_modified":"2026-10-23"},{"text":"SEI-PCS enables fine-scale subnational assessments of commodity origins and their embedded socio-environmental impacts, including local pollution, carbon emissions, and biodiversity loss, by recreating supply chains through a combination of subnational production data, domestic trade flows, and international customs data.","ai_generated":true,"unit":"sei-001618#insight-2","date_modified":"2026-10-23"},{"text":"The SEI-PCS model serves as the basis for the Trase (Transparency for Sustainable Economies) initiative, which provides an open-access platform to track forest-risk commodities in Indonesia and Latin America, specifically focusing on Brazilian soy to estimate the 'deforestation risk' for actors in the supply chain.","ai_generated":true,"unit":"sei-001618#insight-3","date_modified":"2026-10-23"},{"text":"SEI-PCS is used to analyze the temporal dynamics of sourcing and the unintended consequences of environmental policies, such as 'leakage' where policies protecting the Amazon rainforest have led to increased soy deforestation rates in neighboring non-Amazonian areas.","ai_generated":true,"unit":"sei-001618#insight-4","date_modified":"2026-10-23"}],"climate_tags":["carbon dioxide emissions","biodiversity loss","deforestation","sustainable consumption","land use","climate change adaptation"],"geography_discussed":["Brazil","People's Republic of China","Indonesia","Latin America","MATOPIBA","Amazon rainforest","Q43695"],"frame_perspective":[],"analysis_type":["modeling","footprinting"]},{"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-000901","url":"https://climateinsightsdirectory.org/document/clipolin-000901","title":"INSIGHTS THE DYNAMICS OF AGRICULTURAL TECHNOLOGY ADOPTION IN BRAZIL","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2018-10","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2018/12/The-Dynamics-of-Agricultural-Technology-Adoption-in-Brazil.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies three distinct patterns of agricultural technology adoption in Brazil from 2006 to 2017. The Direct Planting System (DPS) is converging, becoming more widespread across the country. Tractor use is diverging, with increased concentration in wealthier, urbanized regions of the South and Southeast. Fertilizer use has increased overall but lacks a clear spatial pattern, with growth scattered across diverse regions including the Cerrado and Caatinga.","ai_generated":true,"unit":"clipolin-000901#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The adoption of the Direct Planting System (DPS), a no-till soil conservation technique, is converging across Brazil. The percentage of cropland using this method rose from 17.4% in 2006 to 38.8% in 2017, with the most significant growth occurring in crop-producing municipalities in the Center-West and Matopiba regions, as well as previously underused areas in southern Rio Grande do Sul.","ai_generated":true,"unit":"clipolin-000901#insight-1","date_modified":"2026-10-23"},{"text":"Tractor use is diverging, meaning it is becoming more concentrated in specific areas. While the national average density of tractors increased from 0.25 to 0.35 per square kilometer (an average increase from 315 to 500 tractors per municipality), the largest increases occurred in the already mechanized, wealthier, and more urbanized areas of the South and Southeast. The gap in tractor use between the 75th and 25th percentiles of municipalities grew by approximately 20% between 2006 and 2017.","ai_generated":true,"unit":"clipolin-000901#insight-2","date_modified":"2026-10-23"},{"text":"The share of farmers using fertilizers increased from 25% to 35% between 2006 and 2017, but this growth does not follow a clear spatial pattern. Increases were observed in diverse areas, including the Cerrado lands in central Mato Grosso and irrigated Caatinga lands bordering Bahia, Pernambuco, and Sergipe, and econometric models indicate that growth is not linked to initial levels of fertilizer use.","ai_generated":true,"unit":"clipolin-000901#insight-3","date_modified":"2026-10-23"}],"climate_tags":["carbon sequestration","fertilizer","deforestation"],"geography_discussed":["Center-West","MATOPIBA","Rio Grande do Sul","South","Southeast","Cerrado","Mato Grosso","Caatinga","Bahia","Q40942","Sergipe"],"frame_perspective":[],"analysis_type":["spatial analysis","econometric analysis"]},{"id":"clipolin-001243","url":"https://climateinsightsdirectory.org/document/clipolin-001243","title":"RESPONSIBLE COMMODITIES FACILITY INSTRUMENT ANALYSIS","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"briefing","language":"en","date_published":"2018-09","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2018/10/Responsible-Commodities-Facility_Instrument-Analysis.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Responsible Commodities Facility (RCF) is a proposed debt fund designed to halt agricultural expansion into the Brazilian Cerrado by providing low-interest loans to farmers who produce soy and corn on degraded lands. The facility aims to raise US$ 300 million through green bonds to provide crop financing and land restoration loans, utilizing blockchain for traceability and a dedicated exchange to link producers with international sustainable buyers. Over 10 years, the RCF targets the restoration of 1.2 million hectares of land and the avoidance of 55 million tonnes of carbon emissions.","ai_generated":true,"unit":"clipolin-001243#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The RCF aims to prevent further deforestation in the Brazilian Cerrado by offering crop financing and land restoration loans at better-than-market terms to producers using already cleared and degraded lands.","ai_generated":true,"unit":"clipolin-001243#insight-1","date_modified":"2026-10-23"},{"text":"The facility's financial structure relies on issuing investment grade-rated green bonds, with an initial US$ 300 million note planned for early 2019. This bond is divided into three tranches: a senior tranche (A) for commercial investors, a subordinated tranche (B) for concessional finance providers, and a first-loss tranche (C) provided by a partnering trading company.","ai_generated":true,"unit":"clipolin-001243#insight-2","date_modified":"2026-10-23"},{"text":"To ensure environmental integrity, the RCF implements strict eligibility criteria: land must have been cleared before 2008 and restored for cultivation after 2010, and producers must comply with the Brazilian Forest Code and the Cadastro Ambiental Rural (CAR).","ai_generated":true,"unit":"clipolin-001243#insight-3","date_modified":"2026-10-23"},{"text":"The RCF integrates blockchain technology and satellite-based monitoring to ensure the traceability of commodities and the continuous assessment of producer compliance.","ai_generated":true,"unit":"clipolin-001243#insight-4","date_modified":"2026-10-23"},{"text":"Over a 10-year period, the RCF is projected to provide US$ 3 billion in loans to 600 farms, resulting in over US$ 20 billion worth of deforestation-free soy and corn and the restoration of 1.2 million hectares of land.","ai_generated":true,"unit":"clipolin-001243#insight-5","date_modified":"2026-10-23"},{"text":"The instrument is estimated to avoid 55.4 million tonnes of CO2 emissions over 10 years, derived from avoided conversion of Cerrado forests (27.2 million tonnes), increased soil carbon storage in restored land (17.1 million tonnes), and carbon sequestration in new legal reserves (11 million tonnes).","ai_generated":true,"unit":"clipolin-001243#insight-6","date_modified":"2026-10-23"}],"climate_tags":["sustainable agriculture","deforestation","climate bond","climate finance","nature restoration","blockchain","carbon sequestration"],"geography_discussed":["Goiás","Mato Grosso","Mato Grosso do Sul","Amazon rainforest","MATOPIBA"],"frame_perspective":[],"analysis_type":["instrument analysis","financial modelling","impact assessment"]},{"id":"clipolin-000443","url":"https://climateinsightsdirectory.org/document/clipolin-000443","title":"THE CAUSES AND CONSEQUENCES OF AGRICULTURAL EXPANSION IN MATOPIBA","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2018-01","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2016/08/CPI_UPDATED_Jan_18_Working_Paper_The_Causes_and_Consequences_of_Agricultural_Expansion_in_Matopiba_Working_Paper_CPI.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The paper finds that agricultural expansion in the Matopiba region, driven by soy cultivation, significantly increased GDP per capita and improved access to durable goods and electricity in municipalities within the Cerrado biome. While agricultural and services GDP grew, there were no significant effects on manufacturing GDP, local population, or educational outcomes.","ai_generated":true,"unit":"clipolin-000443#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Agricultural expansion in the Matopiba region was concentrated in the Cerrado biome, with cropland increasing 3.6 percentage points more and the value of agricultural production increasing 140% more in Cerrado municipalities compared to non-Cerrado municipalities between 1999 and 2012.","ai_generated":true,"unit":"clipolin-000443#insight-1","date_modified":"2026-10-23"},{"text":"The expansion was characterized by a shift in crop mix, specifically an increase in the relative importance of soy cultivation and a decrease in the relative importance of rice and cassava.","ai_generated":true,"unit":"clipolin-000443#insight-2","date_modified":"2026-10-23"},{"text":"Agricultural expansion positively impacted economic performance in Cerrado municipalities, with GDP per capita growing 11% more than in non-Cerrado municipalities from 1999 to 2012. This was driven by a 37% relative growth in agricultural GDP per capita and a 10% increase in services GDP per capita.","ai_generated":true,"unit":"clipolin-000443#insight-3","date_modified":"2026-10-23"},{"text":"The growth in services GDP indicates a spillover effect from agricultural expansion to other industries via forward and backward linkages, although no significant effect was found on manufacturing GDP.","ai_generated":true,"unit":"clipolin-000443#insight-4","date_modified":"2026-10-23"},{"text":"Agricultural expansion led to improved access to certain durable consumer goods and basic infrastructure in Cerrado municipalities between 2000 and 2010, specifically for televisions, refrigerators, and electric power.","ai_generated":true,"unit":"clipolin-000443#insight-5","date_modified":"2026-10-23"},{"text":"The expansion did not result in significant changes to the share of households with access to cars, water, or sewage, nor did it affect local population levels or educational outcomes.","ai_generated":true,"unit":"clipolin-000443#insight-6","date_modified":"2026-10-23"}],"climate_tags":["agriculture","economic development","land use","gross domestic product","infrastructure"],"geography_discussed":["India","People's Republic of China","United States"],"frame_perspective":[],"analysis_type":["econometric analysis","differences-in-differences"]},{"id":"mearth-000153","url":"https://climateinsightsdirectory.org/document/mearth-000153","title":"Exposing the Secrets Behind Burger King and Global Meat Production Report","publisher":{"name":"Mighty Earth","organization":"mighty-earth"},"document_type":"report","language":"en","date_published":"2017-02","source_url":"https://www.mightyearth.org/wp-content/uploads/2016/07/MightyEarth_MysteryMeat.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that Burger King lacks transparency and effective policies to prevent deforestation in its supply chain, contrasting it with competitors like McDonald's. Through field investigations and satellite mapping, the authors link Burger King's suppliers—specifically soy traders Cargill and Bunge—to the destruction of the Brazilian Cerrado and Bolivian lowland forests. The document highlights the resulting loss of biodiversity, carbon emissions, and violence against indigenous peoples, while advocating for the expansion of the Brazilian Amazon Soy Moratorium to other Latin American ecosystems.","ai_generated":true,"unit":"mearth-000153#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Burger King is criticized for a lack of transparency and environmental policy, scoring zero on the Union of Concerned Scientists’ 2016 scorecard for beef sellers' deforestation profiles and lagging behind competitors such as McDonald’s and Wendy’s.","ai_generated":true,"unit":"mearth-000153#insight-1","date_modified":"2026-10-23"},{"text":"Industrial soy production, which provides approximately three quarters of the world's soy for animal feed, has led to the conversion of diverse native ecosystems into monocultures across South America, including the Amazon rainforest, the Argentine Chaco, and the Atlantic Forest in Paraguay.","ai_generated":true,"unit":"mearth-000153#insight-2","date_modified":"2026-10-23"},{"text":"In the Brazilian Cerrado, a biodiversity-rich savanna that provides water for half of Brazil's watersheds, more than half of the natural vegetation has been destroyed. Analysis identifies Cargill and Bunge as the two soy traders most closely linked to this deforestation.","ai_generated":true,"unit":"mearth-000153#insight-3","date_modified":"2026-10-23"},{"text":"Between 2011 and 2015, 29 municipalities in the Cerrado where Bunge operated commercial silos saw 567,562 hectares of deforestation, while 24 municipalities with Cargill silos saw 130,000 hectares of deforestation over the same period.","ai_generated":true,"unit":"mearth-000153#insight-4","date_modified":"2026-10-23"},{"text":"In Bolivia, deforestation is heavily concentrated in the Santa Cruz region, with up to 90% of this clearing reported as illegal. Cargill and Archer Daniels Midland (ADM) are identified as the most common buyers of soy in the visited locations.","ai_generated":true,"unit":"mearth-000153#insight-5","date_modified":"2026-10-23"},{"text":"Deforestation for soy and cattle in Brazil and Bolivia has led to severe human rights abuses, including the displacement of indigenous groups like the Ayoreo and the murder of forest defenders by hit men hired by agricultural interests.","ai_generated":true,"unit":"mearth-000153#insight-6","date_modified":"2026-10-23"},{"text":"The Soy Moratorium in the Brazilian Amazon successfully reduced new soy plantations from deforested land from 30% to 1% following the agreement, demonstrating that agricultural growth is possible without deforestation.","ai_generated":true,"unit":"mearth-000153#insight-7","date_modified":"2026-10-23"}],"climate_tags":["deforestation","biodiversity loss","carbon dioxide emissions","sustainable agriculture","Global supply chain governance","indigenous rights"],"geography_discussed":["Amazon rainforest","Argentina","Paraguay","Santa Cruz","MATOPIBA"],"frame_perspective":[],"analysis_type":["supply chain analysis","field investigation","satellite mapping"]},{"id":"clipolin-000632","url":"https://climateinsightsdirectory.org/document/clipolin-000632","title":"INSIGHTS AS AGRICULTURAL PRODUCTION SURGES IN MATOPIBA, WHAT ARE THE CONSEQUENCES FOR THE LOCAL ECONOMY?","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"fact sheet","language":"en","date_published":"2016-08","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2016/08/Insights-As_Agricultural_Production_Surges_in_Matopiba_What_Are_the_Consequences_for_the_Local_Economy.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the surge of agricultural production in Brazil's MATOPIBA region, noting that expansion is heavily concentrated in the Cerrado biome. Between 1995 and 2012, Cerrado municipalities saw a 140% greater increase in agricultural production value than non-Cerrado areas, driven by cropland expansion and a shift from rice to soy. This boom led to an 11% higher increase in GDP per capita in Cerrado municipalities between 1999 and 2012, with gains in agricultural and services GDP, as well as improved access to electricity and durable consumer goods. However, the expansion did not significantly impact manufacturing GDP, population size, migration, or access to water and sewage.","ai_generated":true,"unit":"clipolin-000632#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Agricultural expansion in the MATOPIBA region is primarily concentrated in municipalities within the Cerrado biome. From 1995 to 2012, the share of cropland in these municipalities grew by 3.6 percentage points more than in non-Cerrado municipalities, and the value of agricultural production grew by 140% more.","ai_generated":true,"unit":"clipolin-000632#insight-1","date_modified":"2026-10-23"},{"text":"The increase in agricultural productivity was driven by both the expansion of cropland and a transition in crop types, specifically shifting from rice to soy. This process also resulted in a decline in cattle ranching as pasture land was converted to cropland.","ai_generated":true,"unit":"clipolin-000632#insight-2","date_modified":"2026-10-23"},{"text":"The agricultural boom positively impacted the economic performance of Cerrado municipalities between 1999 and 2012, resulting in an 11% higher increase in GDP per capita compared to non-Cerrado municipalities. This was supported by a 37% increase in agricultural GDP per capita and a 10% increase in services GDP per capita, though manufacturing GDP showed no such effect.","ai_generated":true,"unit":"clipolin-000632#insight-3","date_modified":"2026-10-23"},{"text":"Social indicators in Cerrado municipalities showed an increase of nearly 10% in access to electricity and durable consumer goods like refrigerators and TVs. However, there were no notable effects on access to sewage, water, car ownership, local population size, migration, or investments in schools.","ai_generated":true,"unit":"clipolin-000632#insight-4","date_modified":"2026-10-23"}],"climate_tags":["land use"],"geography_discussed":["Brazil","Maranhão","Q43695","Piauí","Bahia"],"frame_perspective":[],"analysis_type":["economic impact assessment","comparative analysis"]},{"id":"clipolin-000877","url":"https://climateinsightsdirectory.org/document/clipolin-000877","title":"EXPANSÃO DA PRODUÇÃO AGRÍCOLA NO MATOPIBA: CONSEQUÊNCIAS PARA A ECONOMIA LOCAL","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"executive summary","language":"pt","date_published":"2016-08","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2016/08/SUM-Expansao-da-producao-agricola-no-Matopiba-consequencias-para-a-economia-local.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The executive summary details how agricultural expansion in the MATOPIBA region, particularly within the Cerrado biome, has driven economic growth through increased grain production and higher per capita GDP, while having limited impact on social infrastructure and human capital.","ai_generated":true,"unit":"clipolin-000877#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Between 1995 and 2012, agricultural expansion was highly concentrated in Cerrado municipalities, where the planted area grew by 3.6 percentage points more and the value of agricultural production rose 140% more than in other local areas. This growth was driven by both land expansion and a shift in crop composition from rice to soy.","ai_generated":true,"unit":"clipolin-000877#insight-1","date_modified":"2026-10-23"},{"text":"The intensification of agriculture in the Cerrado led to a reduction in cattle ranching as farmers replaced pastures with crops.","ai_generated":true,"unit":"clipolin-000877#insight-2","date_modified":"2026-10-23"},{"text":"Agricultural expansion improved economic performance in Cerrado municipalities between 1999 and 2012, resulting in a 37% increase in agricultural GDP per capita and a 10% increase in the services sector GDP per capita. Consequently, the overall GDP per capita in these municipalities grew 11% more than in municipalities outside the biome, though no similar effect was seen in industrial GDP.","ai_generated":true,"unit":"clipolin-000877#insight-3","date_modified":"2026-10-23"},{"text":"Economic growth in the Cerrado led to an approximate 10% increase in access to electricity and durable consumer goods such as refrigerators and televisions. However, there were no notable impacts on access to water, sewage, car ownership, local population size, migration within MATOPIBA, or investments in human capital like schools.","ai_generated":true,"unit":"clipolin-000877#insight-4","date_modified":"2026-10-23"}],"climate_tags":["low-carbon economy","land use"],"geography_discussed":["Brazil","Maranhão","Q43695","Piauí","Bahia"],"frame_perspective":[],"analysis_type":["economic impact assessment"]},{"id":"clipolin-000913","url":"https://climateinsightsdirectory.org/document/clipolin-000913","title":"THE CAUSES AND CONSEQUENCES OF AGRICULTURAL EXPANSION IN MATOPIBA","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"research paper","language":"en","date_published":"2016-07","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2016/08/The_Causes_and_Consequences_of_Agricultural_Expansion_in_Matopiba_Working_Paper_CPI-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The paper finds that agricultural expansion in Matopiba is concentrated in the Cerrado biome, driven by technological innovations in soil management and soy varieties. This expansion led to significant increases in GDP per capita, particularly through direct agricultural growth and indirect spillovers into the services sector. While it improved access to durable consumer goods and electricity, it had no significant impact on migration or human capital investments.","ai_generated":true,"unit":"clipolin-000913#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Agricultural expansion in the Matopiba region is primarily concentrated in municipalities within the Cerrado biome. Between 1995 and 2012, cropland in these municipalities expanded 3.6 percentage points more than in non-Cerrado municipalities, and the value of agricultural production grew 140% more.","ai_generated":true,"unit":"clipolin-000913#insight-1","date_modified":"2026-10-23"},{"text":"The expansion of agriculture was accompanied by a shift in the crop mix, specifically an increase in the relative importance of soy and a decrease in rice and cassava. The share of cropland for soy grew 18 percentage points more in Cerrado municipalities, while the share for rice fell by nearly 12 percentage points.","ai_generated":true,"unit":"clipolin-000913#insight-2","date_modified":"2026-10-23"},{"text":"Agricultural expansion positively impacted the overall economic performance of Cerrado municipalities. Between 1999 and 2012, total GDP per capita increased 11% more in these areas than in non-Cerrado municipalities, driven by a 37% increase in agricultural GDP per capita and a 10% increase in services GDP per capita.","ai_generated":true,"unit":"clipolin-000913#insight-3","date_modified":"2026-10-23"},{"text":"The growth in the services sector indicates a spillover effect from agricultural expansion, likely due to increased local demand from forward and backward linkages. In contrast, there was no significant effect on manufacturing GDP.","ai_generated":true,"unit":"clipolin-000913#insight-4","date_modified":"2026-10-23"},{"text":"Agricultural expansion led to improved access to basic infrastructure and durable goods in Cerrado municipalities between 2000 and 2010. Specifically, the share of households with electricity increased 7.3 percentage points faster, televisions 5.2 percentage points faster, and refrigerators 4.3 percentage points faster than in non-Cerrado areas.","ai_generated":true,"unit":"clipolin-000913#insight-5","date_modified":"2026-10-23"},{"text":"Unlike other agricultural frontiers, the expansion in Matopiba did not result in significant changes to local population migration or investments in human capital, such as school attendance or adult schooling levels.","ai_generated":true,"unit":"clipolin-000913#insight-6","date_modified":"2026-10-23"}],"climate_tags":["agriculture","land use","economic development"],"geography_discussed":["Maranhão","Q43695","Piauí","Bahia"],"frame_perspective":[],"analysis_type":["empirical analysis","socioeconomic assessment"]}]}