{"query_echo":{"q":"","filters":{"analysis_type":["employment impact analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'employment impact analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":3,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=employment+impact+analysis","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"wwfza-000220","url":"https://climateinsightsdirectory.org/document/wwfza-000220","title":"Planning for employment effects of climate change in the mining sector","publisher":{"name":"WWF South Africa","organization":"wwf-south-africa"},"document_type":"report","language":"en","date_published":"2018","source_url":"https://wwfafrica.awsassets.panda.org/downloads/wwf_2018_planning_for_employment_effects_of_cc_in_mining_sector.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The South African mining sector is highly vulnerable to job losses driven by biophysical climate impacts and international trade responses, with coal, gold, and platinum being the most at risk. While biophysical impacts could lead to 14,700 job losses across all sectors, international trade responses could cause between 9,400 and 52,800 losses by 2030. The report highlights that coal and lignite mining is particularly vulnerable, with expected job losses of approximately 6% by 2030. However, the transition to a low-carbon economy creates opportunities for job growth in the extraction of minerals required for clean energy technologies, such as manganese and platinum group metals. To manage this transition, the report recommends a two-pronged approach to inventory and match transferable skills to non-mining sectors and new mining sub-sectors.","ai_generated":true,"unit":"wwfza-000220#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The entire South African mining sector is susceptible to job losses resulting from biophysical climate impacts, international trade responses, and mitigation/adaptation efforts. Coal and lignite mining is identified as the most vulnerable sub-sector, with an expected job loss of nearly 6% by 2030.","ai_generated":true,"unit":"wwfza-000220#insight-1","date_modified":"2026-10-23"},{"text":"Biophysical impacts—including drought, temperature changes, and extreme weather—could result in up to 14,700 job losses across all South African sectors. Within mining, the energy-intensive gold and platinum sectors are expected to lose the most direct jobs, with platinum losing 4,900 and gold 3,500, while coal is expected to lose 2,200.","ai_generated":true,"unit":"wwfza-000220#insight-2","date_modified":"2026-10-23"},{"text":"International trade responses to climate change represent the primary source of vulnerability for the mining sector. These responses, driven by a shift toward clean energy technologies and away from carbon-intensive activities, could lead to between 9,400 and 52,800 job losses by 2030. In the worst-case scenario, platinum would lose 16,800 jobs, gold 11,900, and coal 9,900.","ai_generated":true,"unit":"wwfza-000220#insight-3","date_modified":"2026-10-23"},{"text":"Mitigation and adaptation interventions can create new employment opportunities, particularly in the platinum sector, which could generate nearly 1,000 new jobs. Potential job-creating activities include building resilient infrastructure, developing operational procedures for natural disasters, and using alternative fuels like biofuels.","ai_generated":true,"unit":"wwfza-000220#insight-4","date_modified":"2026-10-23"},{"text":"The transition to a low-carbon economy increases demand for specific minerals and metals used in clean energy technologies. South Africa is well-positioned to benefit from this due to its significant reserves, including 80% of identified manganese resources and over 40% of global production of ferrochromium, PGMs, and vanadium.","ai_generated":true,"unit":"wwfza-000220#insight-5","date_modified":"2026-10-23"},{"text":"Addressing job losses requires strategic investment in skills development, as 70% of the workforce in the hardest-hit coal and gold sub-sectors are semi-skilled. The report proposes a two-pronged approach: creating an inventory of transferable and non-transferable skills and matching that inventory with the requirements of non-mining sectors.","ai_generated":true,"unit":"wwfza-000220#insight-6","date_modified":"2026-10-23"}],"climate_tags":["mining industry","employment","climate change adaptation","climate change mitigation","low-carbon economy","international trade","renewable energy","carbon capture and storage","Emissions trading","critical minerals"],"geography_discussed":["Limpopo","Mpumalanga","North West","People's Republic of China","India","France","Sweden","Norway"],"frame_perspective":[],"analysis_type":["vulnerability assessment","employment impact analysis","strategic planning"]},{"id":"eninnova-000194","url":"https://climateinsightsdirectory.org/document/eninnova-000194","title":"ACHIEVING AN 80% CARBON FREE ELECTRICITY SYSTEM IN CHINA BY 2035","publisher":{"name":"Energy Innovation","organization":"energy-innovation"},"document_type":"report","language":"en","date_published":null,"source_url":"https://energyinnovation.org/wp-content/uploads/China-2035_English.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that achieving an 80% non-fossil electricity share by 2035 is technically feasible and would lower wholesale electricity costs compared to current policy trajectories. This transition would be driven by the declining costs of wind, solar, and battery storage, which the authors argue are now more cost-effective than new coal generation. The 'Clean Energy' scenario would significantly reduce CO2 emissions and premature deaths from air pollution, while resulting in a net increase in employment, despite losses in the coal mining sector. Reliability analysis suggests the system can maintain a 10% operating reserve margin even with high variable renewable penetration and the retirement of 250 to 300 GW of coal capacity.","ai_generated":true,"unit":"eninnova-000194#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A combination of wind, solar, and battery storage is now more cost-effective for meeting electricity demand growth than building new coal generation.","ai_generated":true,"unit":"eninnova-000194#insight-1","date_modified":"2026-10-23"},{"text":"The Clean Energy scenario would reduce electricity sector CO2 emissions by 50% (approximately 1,660 MtCO2) and reduce premature deaths from fossil fuel power generation by 47% (around 50,000 deaths) by 2035 relative to current policies.","ai_generated":true,"unit":"eninnova-000194#insight-2","date_modified":"2026-10-23"},{"text":"The transition to an 80% non-fossil system is projected to create a net increase of 1.9 million cumulative job-years from 2020 to 2035, as gains in wind, solar, and storage sectors offset 1.7 million job-years lost in coal mining.","ai_generated":true,"unit":"eninnova-000194#insight-3","date_modified":"2026-10-23"},{"text":"Reliability simulations indicate that China's electricity system could maintain a 10% operating reserve margin in 2035 with an 80% non-fossil mix, even during periods of low renewable generation or a 10% demand shock.","ai_generated":true,"unit":"eninnova-000194#insight-4","date_modified":"2026-10-23"},{"text":"The system could support the retirement of 250 to 300 GW of existing coal generation without compromising reliability, as storage and other resources would fill the capacity gap.","ai_generated":true,"unit":"eninnova-000194#insight-5","date_modified":"2026-10-23"},{"text":"To reach the 80% target, wind and solar capacity would need to grow to 3,069 GW by 2035, requiring average annual additions of 215 GW between 2030 and 2035.","ai_generated":true,"unit":"eninnova-000194#insight-6","date_modified":"2026-10-23"},{"text":"Battery storage capacity would need to increase rapidly, reaching 414 GW by 2035 in the Clean Energy scenario compared to 244 GW under current policies.","ai_generated":true,"unit":"eninnova-000194#insight-7","date_modified":"2026-10-23"},{"text":"Offshore wind represents a high-quality resource that could reduce the need for higher-cost onshore resources; in a sensitivity scenario, its share of generation increases to 15% by 2035.","ai_generated":true,"unit":"eninnova-000194#insight-8","date_modified":"2026-10-23"}],"climate_tags":["photovoltaics","offshore wind power","battery energy storage system","carbon neutrality","electric power transmission","electricity market","climate finance","air quality","greenhouse gas emissions","Resource adequacy","land-use planning"],"geography_discussed":["United States"],"frame_perspective":[],"analysis_type":["capacity expansion modeling","production simulation","economic analysis","health impact assessment","employment impact analysis"]},{"id":"iisd-002026","url":"https://climateinsightsdirectory.org/document/iisd-002026","title":"Application d’une évaluation des actifs durables (SAVi) au projet « Bus Rapid Transit » au Sénégal","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"case study","language":"fr","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/savi-senegal-bus-rapid-transit-brochure-fr.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document applies the SAVi methodology to the Dakar BRT project, demonstrating that while conventional financial analysis suggests the project is not viable, the integration of external effects—such as time saved and avoided pollution—reveals substantial net benefits for Senegalese society. The analysis covers four scenarios, including variations in passenger demand, and predicts a net job loss of 14% in the transport sector, offset by a 15.6% increase in discretionary spending across the wider economy.","ai_generated":true,"unit":"iisd-002026#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Conventional financial analysis indicates that the BRT project is not financially viable regardless of passenger demand levels. However, integrating external effects significantly improves performance indicators, with the total net benefits across scenarios ranging from 1,700 billion to nearly 2,700 billion CFA francs (approximately 2.94 billion to 4.61 billion US dollars).","ai_generated":true,"unit":"iisd-002026#insight-1","date_modified":"2026-10-23"},{"text":"The project is expected to cause a net loss of 14% in employment within the transport sector, as job creation within the project does not fully compensate for losses in other modes of transport. Despite this, the wider economy is projected to see a 15.6% increase in discretionary spending due to improved mobility in other sectors.","ai_generated":true,"unit":"iisd-002026#insight-2","date_modified":"2026-10-23"},{"text":"The SAVi evaluation for the BRT project specifically analyzes six external effects: discretionary spending from labor income, value of time saved, avoided transport costs, avoided pollution costs (PM2.5, SO2, and NOx), avoided greenhouse gas (CO2) emission costs, and avoided accident costs.","ai_generated":true,"unit":"iisd-002026#insight-3","date_modified":"2026-10-23"},{"text":"The BRT project, managed by the Conseil Exécutif des Transports Urbains de Dakar (CETUD) and estimated to cost 369,490,000 euros, is projected to transport 300,000 passengers daily upon completion in 2023. Funding is provided by the World Bank, the European Bank, the government of Senegal, and the Green Climate Fund.","ai_generated":true,"unit":"iisd-002026#insight-4","date_modified":"2026-10-23"}],"climate_tags":["bus rapid transit","public transport","urban transport","greenhouse gas emissions","air pollution","climate finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["cost-benefit analysis","financial simulation","employment impact analysis"]}]}