{"query_echo":{"q":"","filters":{"analysis_type":["economic impact analysis"]},"warnings":[]},"total":{"value":88,"relation":"eq"},"page":5,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=economic+impact+analysis&page=5","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":"eesi-000244","url":"https://climateinsightsdirectory.org/document/eesi-000244","title":"South Carolina’s Path to an Energy-Efficient Future","publisher":{"name":"Environmental and Energy Study Institute","organization":"environmental-and-energy-study-institute"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.eesi.org/files/Energy_Efficiency_Fact_Sheet_030116_SC.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document outlines the economic and environmental benefits of energy efficiency in South Carolina, asserting that specific policies could help the state meet nearly half of its carbon pollution goals under the EPA's Clean Power Plan. It highlights that combining private sector energy service contracts, national model building codes, and 100 MWs of new combined heat and power could avoid over 4.8 million tons of CO2 by 2030 and save residents $1.2 billion by the same date.","ai_generated":true,"unit":"eesi-000244#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Implementing a small number of popular energy efficiency policies could enable South Carolina to achieve 49% of its carbon pollution reduction goal established by the EPA’s Clean Power Plan.","ai_generated":true,"unit":"eesi-000244#insight-1","date_modified":"2026-10-23"},{"text":"By 2030, the combination of national model building codes, private sector energy service contracts, and 100 MWs of new combined heat and power is projected to save more than 8.5 million MWh of electricity and avoid over 4.8 million tons of carbon dioxide (CO2).","ai_generated":true,"unit":"eesi-000244#insight-2","date_modified":"2026-10-23"},{"text":"Energy efficiency policies are estimated to save South Carolinians $1.2 billion by 2030, while also reducing nitrogen oxide (NOx) by 28,000 tons and sulfur dioxide (SO2) by 74,000 tons.","ai_generated":true,"unit":"eesi-000244#insight-3","date_modified":"2026-10-23"}],"climate_tags":["energy efficiency","carbon dioxide emissions","Clean Power Plan","building code"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy assessment","economic impact analysis"]},{"id":"eesi-000250","url":"https://climateinsightsdirectory.org/document/eesi-000250","title":"Wisconsin’s Path to an Energy-Efficient Future","publisher":{"name":"Environmental and Energy Study Institute","organization":"environmental-and-energy-study-institute"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.eesi.org/files/Energy_Efficiency_Fact_Sheet_030116_WI.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"This fact sheet outlines the economic and environmental benefits of implementing energy efficiency policies in Wisconsin. It asserts that such measures can help the state meet a significant portion of its carbon pollution goals under the EPA's Clean Power Plan while providing substantial financial savings for residents and government entities.","ai_generated":true,"unit":"eesi-000250#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Implementing popular energy efficiency policies could enable Wisconsin to achieve 83% of its carbon pollution reduction target established by the EPA's Clean Power Plan.","ai_generated":true,"unit":"eesi-000250#insight-1","date_modified":"2026-10-23"},{"text":"By 2030, a combination of 1% annual energy savings, national model building codes, and 500 MWs of new combined heat and power would allow Wisconsin to avoid approximately 11 million tons of carbon dioxide and save over 14 million MWh of electricity.","ai_generated":true,"unit":"eesi-000250#insight-2","date_modified":"2026-10-23"},{"text":"Energy efficiency policies are projected to save the people of Wisconsin $2.5 billion by 2030 and reduce air pollution by 98,000 tons of nitrogen oxide and 405,000 tons of sulfur dioxide by the same year.","ai_generated":true,"unit":"eesi-000250#insight-3","date_modified":"2026-10-23"}],"climate_tags":["energy efficiency","carbon dioxide emissions","Clean Power Plan","building code","air pollution"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy assessment","economic impact analysis"]},{"id":"eesi-000252","url":"https://climateinsightsdirectory.org/document/eesi-000252","title":"Wyoming’s Path to an Energy-Efficient Future","publisher":{"name":"Environmental and Energy Study Institute","organization":"environmental-and-energy-study-institute"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.eesi.org/files/Energy_Efficiency_Fact_Sheet_030116_WY.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document outlines the economic and environmental benefits of energy efficiency in Wyoming, specifically highlighting how an annual energy savings target of 1.5%, national model building codes, and 40 MWs of new combined heat and power could avoid 2.6 million tons of CO2 and save residents over $2 billion by 2030.","ai_generated":true,"unit":"eesi-000252#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Implementing specific energy efficiency policies can assist Wyoming in meeting 14% of its carbon pollution reduction goal under the EPA’s Clean Power Plan.","ai_generated":true,"unit":"eesi-000252#insight-1","date_modified":"2026-10-23"},{"text":"By 2030, a combination of a 1.5% annual energy savings target, national model building codes, and 40 MWs of new combined heat and power would result in avoiding over 2.6 million tons of carbon dioxide and saving more than 4.2 million MWh of electricity.","ai_generated":true,"unit":"eesi-000252#insight-2","date_modified":"2026-10-23"},{"text":"The proposed efficiency policies are projected to save Wyoming residents more than $2 billion on utility bills by 2030, while also reducing nitrogen oxide (NOx) by 24,600 tons and sulfur dioxide (SO2) by 22,000 tons.","ai_generated":true,"unit":"eesi-000252#insight-3","date_modified":"2026-10-23"}],"climate_tags":["energy efficiency","carbon dioxide emissions","Clean Power Plan","building code","electricity price"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy assessment","economic impact analysis"]},{"id":"eninnova-000079","url":"https://climateinsightsdirectory.org/document/eninnova-000079","title":"Advanced Diesel Internal Combustion Engines","publisher":{"name":"Energy Innovation","organization":"energy-innovation"},"document_type":"case study","language":"en","date_published":null,"source_url":"https://energyinnovation.org/wp-content/uploads/diesel-engines-case-study.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document examines how U.S. government-led research, simulation tools, and public-private partnerships between 1981 and 2011 drove significant improvements in diesel engine efficiency and emissions. It highlights the economic benefits of these investments, noting that less than $1 billion in funding generated over $70 billion in economic returns, while reducing heavy-duty truck emissions and increasing fuel economy.","ai_generated":true,"unit":"eninnova-000079#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Government-supported research led to a measurable increase in the efficiency of heavy-duty diesel trucks, rising from 37% in 1981 to 42% in 2007. Additionally, truck fuel economy improved from 5.4 miles per gallon in 1981 to 6.4 miles per gallon in 2010.","ai_generated":true,"unit":"eninnova-000079#insight-1","date_modified":"2026-10-23"},{"text":"Between 1990 and 2009, the U.S. heavy truck fleet saw dramatic reductions in per-mile emissions of carbon monoxide, particulate matter, and nitrogen oxides, with declines ranging from 67% to 81%.","ai_generated":true,"unit":"eninnova-000079#insight-2","date_modified":"2026-10-23"},{"text":"The U.S. government's investment in the Combustion Research Facility (CRF) and the Advanced Combustion Engine R&D (ACE R&D) programs between 1986 and 2007 yielded a high return on investment, with less than $931 million in inflation-adjusted funding generating over $70.2 billion in economic benefits.","ai_generated":true,"unit":"eninnova-000079#insight-3","date_modified":"2026-10-23"},{"text":"The development of government-funded simulation tools, specifically the KIVA codes and the Cross-Cut Lean Exhaust Emissions Reduction Simulation (CLEERS), allowed private manufacturers to reduce development costs and meet EPA standards more quickly. For example, Cummins used KIVA software to reduce development time and cost for its 2007 ISB 6.7-L engine by 10–15%.","ai_generated":true,"unit":"eninnova-000079#insight-4","date_modified":"2026-10-23"},{"text":"The U.S. Department of Energy (DOE) coordinated several major public-private partnerships to accelerate vehicle efficiency and energy security, including the Partnership for a New Generation of Vehicles (1993), the 21st Century Truck Partnership (2000), the FreedomCAR and Fuel Partnership (2002), and US Drive (2011).","ai_generated":true,"unit":"eninnova-000079#insight-5","date_modified":"2026-10-23"},{"text":"The DOE has set specific efficiency goals for 2015, aiming to increase the efficiency of diesel-powered passenger vehicles to 45% and commercial vehicles to 50%.","ai_generated":true,"unit":"eninnova-000079#insight-6","date_modified":"2026-10-23"}],"climate_tags":["fuel efficiency","particulates","energy security","public–private partnership"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study","economic impact analysis","technological assessment"]},{"id":"transfor-000050","url":"https://climateinsightsdirectory.org/document/transfor-000050","title":"PRODUCCIÓN AGROALIMENTARIA EN COLOMBIA","publisher":{"name":"Transforma","organization":"transforma"},"document_type":"policy brief","language":"es","date_published":null,"source_url":"https://transforma.global/wp-content/uploads/2025/05/CARTILLA-3-PRODUCCION-AGROALIMENTARIA.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"This policy brief by Transforma provides recommendations for the recovery of Colombia's agri-food production sector following the COVID-19 pandemic. It argues that the pandemic exacerbated historical vulnerabilities, such as low rural associativity and inefficient resource use, and advocates for a transition toward sustainable production systems, improved rural digitalization, and more inclusive financial mechanisms to ensure long-term food sovereignty and resilience.","ai_generated":true,"unit":"transfor-000050#summary","date_modified":"2026-08-17"},"key_insights":[{"text":"The COVID-19 pandemic intensified pre-existing challenges in Colombia's agricultural sector, particularly the lack of associativity among small and medium producers, which hindered their ability to adapt to market changes. The document recommends strengthening programs like 'Alianzas Productivas' and 'Agricultura por Contrato' to improve coordinated planting and sales.","ai_generated":true,"unit":"transfor-000050#insight-1","date_modified":"2026-08-17"},{"text":"Colombia's agricultural productivity is low compared to international benchmarks; in 2013, the country produced only 75% of the output per square kilometer of arable land compared to Pacific Alliance countries and 39% compared to high-middle income countries. Additionally, only 6% of potentially irrigable land is connected to irrigation systems, leaving the sector vulnerable to climate variability.","ai_generated":true,"unit":"transfor-000050#insight-2","date_modified":"2026-08-17"},{"text":"The pandemic negatively impacted rural youth, increasing the risk of school dropout and the loss of skilled labor. Only 17% of the more than 2.4 million rural students have access to a computer and the internet, and 71.7% of the occupied rural population earns less than the minimum monthly wage.","ai_generated":true,"unit":"transfor-000050#insight-3","date_modified":"2026-08-17"},{"text":"Financial aid provided through Finagro's Special Credit Lines (LEC) saw a 22% increase in demand compared to 2019, but the distribution was uneven. The Comptroller General of the Republic (CGR) noted that approximately 90% of the 'LEC Colombia Agro Produce' resources were captured by large agro-industrialists and commercializers, while small producers accessed only 10%.","ai_generated":true,"unit":"transfor-000050#insight-4","date_modified":"2026-08-17"},{"text":"There is a significant risk of over-indebtedness among small producers. By October 2020, 28.5% of Finagro's placements were for portfolio normalization (up 14 percentage points from the previous year), with small producers accounting for 92.8% of these operations.","ai_generated":true,"unit":"transfor-000050#insight-5","date_modified":"2026-08-17"},{"text":"The document highlights a critical lack of associativity in the sector; according to the 2014 National Agricultural Census, 73.7% of producers do not belong to any association.","ai_generated":true,"unit":"transfor-000050#insight-6","date_modified":"2026-08-17"},{"text":"To support sustainable production, the Ministry of Finance has a loan from the Inter-American Development Bank (IDB) for USD $850 million aimed at enhancing sustainable production.","ai_generated":true,"unit":"transfor-000050#insight-7","date_modified":"2026-08-17"}],"climate_tags":["climate change","sustainable production","agroecology","climate resilience","water management"],"geography_discussed":["Bogotá","Pacific"],"frame_perspective":[],"analysis_type":["policy recommendation","economic impact analysis"]},{"id":"trendas-000064","url":"https://climateinsightsdirectory.org/document/trendas-000064","title":"DAFTAR HITAM 20 PLTU PALING BERBAHAYA DI INDONESIA","publisher":{"name":"Trend Asia","organization":"trend-asia"},"document_type":"report","language":"id","date_published":null,"source_url":"https://trendasia.org/wp-content/uploads/2026/06/FINAL-INDO-Buku_TOXIC-20.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies the 'Toxic Twenty' coal-fired power plants in Indonesia, estimating that between 2026 and 2050, they will cause 156,000 premature deaths and USD 109 billion in health-related economic losses. It argues that these plants create a net economic drain, reducing regional GDP and destroying livelihoods in agriculture and fisheries, while criticizing the government's reliance on 'false solutions' like biomass co-firing to extend the life of fossil fuel infrastructure.","ai_generated":true,"unit":"trendas-000064#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The 'Toxic Twenty' coal-fired power plants are projected to cause at least 156,000 premature deaths due to air pollution between 2026 and their final operational year in 2050.","ai_generated":true,"unit":"trendas-000064#insight-1","date_modified":"2026-10-23"},{"text":"The economic cost of health losses resulting from the 20 most dangerous power plants is estimated at USD 109 billion (approximately Rp1,813 trillion) from 2026 to 2050.","ai_generated":true,"unit":"trendas-000064#insight-2","date_modified":"2026-10-23"},{"text":"The operational impact of these 20 plants leads to an annual aggregate reduction in community income of Rp48.4 trillion and an overall economic loss of Rp52.4 trillion per year.","ai_generated":true,"unit":"trendas-000064#insight-3","date_modified":"2026-10-23"},{"text":"Approximately 1.45 million jobs have been lost or negatively impacted due to the operation of these 20 plants, primarily affecting workers in the agriculture, plantation, and fisheries sectors due to environmental pollution.","ai_generated":true,"unit":"trendas-000064#insight-4","date_modified":"2026-10-23"},{"text":"The report argues that biomass co-firing is used as a 'false green solution' or 'green mask' to extend the operational life of old coal plants rather than facilitating a genuine energy transition.","ai_generated":true,"unit":"trendas-000064#insight-5","date_modified":"2026-10-23"},{"text":"Financing for these dangerous plants is dominated by foreign entities, with Japan recorded as the largest funder (63,328 MW), followed by China (18,815 MW) and the UK (10,325 MW).","ai_generated":true,"unit":"trendas-000064#insight-6","date_modified":"2026-10-23"},{"text":"The report criticizes the government's use of the Analytical Hierarchy Process (AHP) for determining plant retirement, noting that funding is weighted at 27.1%, while environmental factors like greenhouse gas emissions and energy transition are weighted significantly lower at 9.3% and 10.1% respectively.","ai_generated":true,"unit":"trendas-000064#insight-7","date_modified":"2026-10-23"}],"climate_tags":["coal-fired power station","energy transition","air pollution","public health","climate finance","Cofiring","decarbonization","just transition","economic loss","carbon dioxide emissions"],"geography_discussed":["Banten","East Java","West Java","Central Java","South Sumatra","West Sumatra","North Sumatra","Bali"],"frame_perspective":[],"analysis_type":["economic impact analysis","health impact assessment","policy critique"]},{"id":"wri-000828","url":"https://climateinsightsdirectory.org/document/wri-000828","title":"The Economic Benefits of the New Climate Economy in Rural America","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://www.wri.org/research/benefits-federal-investment-rural-america","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"Federal investment of $55 billion annually in the new climate economy could direct nearly $15 billion per year to rural US counties, supporting approximately 260,000 rural jobs annually for at least five years. This investment is estimated to generate $21.7 billion in annual value added to rural economies, with 45 percent of created jobs benefiting economically disadvantaged rural areas.","ai_generated":true,"unit":"wri-000828#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"An annual federal investment of $55 billion nationwide would result in nearly $15 billion flowing to rural counties, supporting nearly 260,000 rural jobs annually for at least five years, totaling 1.3 million job-years.","ai_generated":true,"unit":"wri-000828#insight-1","date_modified":"2026-10-23"},{"text":"The proposed federal rural investments would generate $21.7 billion in annual overall value added to rural economies, which includes $12.9 billion in rural employee compensation and $1.6 billion in local, state, and federal tax revenue.","ai_generated":true,"unit":"wri-000828#insight-2","date_modified":"2026-10-23"},{"text":"Every $1 million invested in the analyzed new climate economy pathways would create 17.5 jobs and $1.5 million in value added for rural economies. Furthermore, 45 percent of all jobs created in rural counties would benefit economically disadvantaged rural areas.","ai_generated":true,"unit":"wri-000828#insight-3","date_modified":"2026-10-23"}],"climate_tags":["reforestation","climate finance","job creation","carbon dioxide removal"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["economic impact analysis"]},{"id":"wri-000975","url":"https://climateinsightsdirectory.org/document/wri-000975","title":"Bottom Line on International Trade","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.wri.org/research/bottom-line-international-trade","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document examines the intersection of climate policy and international trade, noting that non-uniform costs for greenhouse gas emissions can lead to 'emissions leakage' where industries relocate to countries with lower standards. It identifies energy-intensive sectors like steel, cement, and chemicals as most vulnerable and evaluates three policy responses: cost containment mechanisms, trade measures such as border price adjustments, and coordinated international actions.","ai_generated":true,"unit":"wri-000975#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"While a patchwork of global climate policies may disadvantage certain industries, U.S. policy leadership could improve long-term competitiveness by signaling rising fossil fuel costs and encouraging a shift to low-carbon business models.","ai_generated":true,"unit":"wri-000975#insight-1","date_modified":"2026-10-23"},{"text":"The relocation of manufacturing from countries with strict climate policies to those with lower costs can cause 'emissions leakage,' which may undermine the net environmental effectiveness of domestic policies by shifting emission sources to countries without absolute caps.","ai_generated":true,"unit":"wri-000975#insight-2","date_modified":"2026-10-23"},{"text":"Industry sensitivity to climate policy costs is driven by energy intensity of production, the potential for fuel switching or efficiency gains, and the availability of substitutes. Consequently, the most adversely impacted sectors are nonmetallic mineral products (such as glass and cement), nonferrous and ferrous metals, chemicals, and paper.","ai_generated":true,"unit":"wri-000975#insight-3","date_modified":"2026-10-23"},{"text":"Modeling by Resources for the Future suggests that if the United States alone imposed a $10 per ton charge for CO2, domestic output in vulnerable industries would decline by between 0.5 and 6 percent.","ai_generated":true,"unit":"wri-000975#insight-4","date_modified":"2026-10-23"},{"text":"Three primary policy options exist to harmonize compliance costs: cost containment mechanisms (like allowance allocations), trade measures (such as border price adjustments), and coordinated international actions. Trade measures are noted for potential flaws, including increasing raw material costs for downstream manufacturers like the automobile industry and potentially damaging multilateral climate negotiations.","ai_generated":true,"unit":"wri-000975#insight-5","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","carbon price","climate policy","international trade"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy assessment","economic impact analysis"]}]}