{"query_echo":{"q":"","filters":{"geography":["Afghanistan"]},"warnings":[]},"total":{"value":290,"relation":"eq"},"page":6,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Afghanistan&page=6","next":"https://climateinsightsdirectory.org/api/v1/search?geography=Afghanistan&page=7","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":"seforall-000126","url":"https://climateinsightsdirectory.org/document/seforall-000126","title":"ENERGIZING FINANCE: MISSING THE MARK","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"executive summary","language":"en","date_published":"2020","source_url":"https://www.seforall.org/system/files/2020-11/EF-2020-MM-ES-SEforALL.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that while energy finance disbursements in high-impact countries grew by over 61% between 2013 and 2018, they still significantly lag behind commitments, with USD 32 billion disbursed against USD 52 billion committed. Between 2002 and 2018, 58% of planned disbursements and 49% of projects experienced delays. These delays are attributed to cumbersome administrative processes, design flaws not adapted to local capacities, and limited access to local financial services.","ai_generated":true,"unit":"seforall-000126#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Energy finance disbursements in high-impact countries (HICs) grew significantly faster than overall development finance disbursements between 2013 and 2018, increasing by more than 61 percent compared to a 12 percent increase for overall development finance.","ai_generated":true,"unit":"seforall-000126#insight-1","date_modified":"2026-10-23"},{"text":"There is a substantial gap between energy finance commitments and disbursements from 2013 to 2018, with USD 32 billion disbursed against USD 52 billion committed. To meet SDG7 energy access targets, annual disbursements of approximately USD 45 billion are required between 2020 and 2030.","ai_generated":true,"unit":"seforall-000126#insight-2","date_modified":"2026-10-23"},{"text":"Disbursement and project delays remain pervasive in HICs. Between 2002 and 2018, 58 percent of planned disbursements to the energy sector and 49 percent of projects were delayed, though this represents a slight improvement over 2017 data.","ai_generated":true,"unit":"seforall-000126#insight-3","date_modified":"2026-10-23"},{"text":"Disbursement delays are driven by project-specific factors, including administrative bottlenecks and design flaws. Examples include federal-level clearance delays for a GEF-UNDP project in India (Jharkhand and Manipur states) and a biodigester sub-project in Rwanda (PREP) that failed to adapt to local consumption habits and capacities.","ai_generated":true,"unit":"seforall-000126#insight-4","date_modified":"2026-10-23"}],"climate_tags":["energy access","clean cooking","renewable energy","climate finance"],"geography_discussed":["Angola","Bangladesh","Burkina Faso","Afghanistan","People's Republic of China","Rwanda","Jharkhand","Manipur"],"frame_perspective":[],"analysis_type":["quantitative analysis","qualitative analysis"]},{"id":"seforall-000138","url":"https://climateinsightsdirectory.org/document/seforall-000138","title":"DYNAMISER LE FINANCEMENT DE L’ACCÈS À L’ÉNERGIE : À CÔTÉ DE L’OBJECTIF","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"report","language":"fr","date_published":"2020","source_url":"https://www.seforall.org/system/files/2021-03/ES-2020-MM-ES-fr-SEforALL.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that while energy financing disbursements in High-Impact Countries grew by over 61% between 2013 and 2018, they still lag significantly behind commitments, with $32 billion disbursed against $52 billion committed. These delays affect 49% of energy projects in HICs, driven by administrative burdens and poor project design. The document argues that an annual increase of $45 billion in disbursements is needed by 2030 to meet SDG7 goals.","ai_generated":true,"unit":"seforall-000138#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Energy financing disbursements in High-Impact Countries (HICs) grew significantly faster than overall development financing disbursements in the same regions between 2013 and 2018, increasing by more than 61% compared to approximately 12% for global development financing.","ai_generated":true,"unit":"seforall-000138#insight-1","date_modified":"2026-10-23"},{"text":"There is a substantial gap between financial commitments and actual disbursements for energy in HICs; from 2013 to 2018, $32 billion was disbursed against $52 billion in commitments.","ai_generated":true,"unit":"seforall-000138#insight-2","date_modified":"2026-10-23"},{"text":"Between 2002 and 2018, 49% of energy sector projects in HICs experienced delays, and 58% of planned disbursements were delayed, though this represents a slight improvement over 2017 figures (52% of projects and 69% of disbursements).","ai_generated":true,"unit":"seforall-000138#insight-3","date_modified":"2026-10-23"},{"text":"Disbursement delays are caused by project-specific factors, including administrative heaviness, capacity gaps in donors and implementing entities, and design flaws that ignore local financial services or end-user habits.","ai_generated":true,"unit":"seforall-000138#insight-4","date_modified":"2026-10-23"},{"text":"Specific examples of project failures include a GEF-UNDP project in the Indian states of Jharkhand and Manipur delayed by federal administrative procedures, and a biodigester sub-project under Rwanda's Promoting Renewable Energy Programme (PREP) delayed by a design that ignored local consumption habits.","ai_generated":true,"unit":"seforall-000138#insight-5","date_modified":"2026-10-23"}],"climate_tags":["energy access","clean cooking","climate finance","renewable energy","greenhouse gas emissions"],"geography_discussed":["World","Jharkhand","Manipur","Rwanda"],"frame_perspective":[],"analysis_type":["financial analysis","policy evaluation","case study"]},{"id":"seforall-000319","url":"https://climateinsightsdirectory.org/document/seforall-000319","title":"THE RECOVER BETTER WITH SUSTAINABLE ENERGY GUIDE FOR SOUTH ASIAN COUNTRIES","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"guide","language":"en","date_published":"2020","source_url":"https://www.seforall.org/system/files/2020-12/RB-SA-SEforALL.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The guide identifies significant energy access gaps in South Asia, with 152 million people lacking electricity and 990 million lacking clean cooking as of 2018. It proposes that governments allocate 25% of stimulus budgets to renewables and target 30% localization of clean energy value chains. Key benefits cited include a GDP multiplier where every USD 1 invested in renewables yields USD 0.93 in additional growth, and the creation of 2 to 2.5 times more jobs than fossil fuel investments. The document recommends eight enablers for this transition, including the elimination of fossil fuel subsidies, a moratorium on new coal-fired power, and the adoption of cost-reflective tariffs.","ai_generated":true,"unit":"seforall-000319#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"As of 2018, South Asia faced substantial energy access deficits, with approximately 152 million people without electricity and 990 million people without access to clean cooking solutions.","ai_generated":true,"unit":"seforall-000319#insight-1","date_modified":"2026-10-23"},{"text":"The guide suggests that South Asian governments target 25% of their stimulus budgets for on-grid and off-grid renewable energy, including solar, hydro, geothermal, and wind.","ai_generated":true,"unit":"seforall-000319#insight-2","date_modified":"2026-10-23"},{"text":"Investment in the renewable energy sector in South Asia between 2018 and 2030 is estimated at USD 411 billion, which could generate an additional GDP impact of USD 382 billion by 2030.","ai_generated":true,"unit":"seforall-000319#insight-3","date_modified":"2026-10-23"},{"text":"Renewable energy and energy efficiency investments create significantly more employment than fossil fuels, with 2 to 2.5 times more jobs created per USD 10 million investment.","ai_generated":true,"unit":"seforall-000319#insight-4","date_modified":"2026-10-23"},{"text":"Energy efficiency offers high potential for economic savings; for example, interventions in Pakistan could yield USD 10 billion in savings by 2030, and Indian SMEs could avoid fuel imports equivalent to 3.5 million tonnes of oil by tapping into a 15% energy savings potential.","ai_generated":true,"unit":"seforall-000319#insight-5","date_modified":"2026-10-23"},{"text":"The guide recommends a 30% target for the localization or regionalization of clean energy investments to develop upstream and downstream value chains and enhance energy security.","ai_generated":true,"unit":"seforall-000319#insight-6","date_modified":"2026-10-23"},{"text":"The document advocates for a moratorium on new coal-fired power, noting that over half of operating coal plants cost more to run than building new renewables, and a global coal exit by 2050 could save 1.5% of global economic output.","ai_generated":true,"unit":"seforall-000319#insight-7","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","clean cooking","energy efficiency","energy access","climate finance","green job","fossil fuel subsidy","coal-fired power station","Paris Agreement","Nationally Determined Contributions"],"geography_discussed":["People's Republic of China","Germany","United Kingdom","France","Indonesia","Philippines","Vietnam","World"],"frame_perspective":[],"analysis_type":["policy guide","economic assessment"]},{"id":"wri-001806","url":"https://climateinsightsdirectory.org/document/wri-001806","title":"The Role of Domestic Budgets in Financing Climate Change Adaptation","publisher":{"name":"World Resources Institute","organization":"world-resources-institute"},"document_type":"research paper","language":"en","date_published":"2019-12-02","source_url":"https://files.wri.org/s3fs-public/uploads/Role_of_Domestic_Budgets_in_Financing_Paper_-_Global_Commission_on_Adaptation.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that domestic budgets are often the largest source of adaptation finance in developing countries but are systematically under-utilised due to technical, institutional, and political barriers. It introduces 'climate budgeting' as a set of interventions across the budget cycle—from preparation and approval to execution and oversight—to prioritise adaptation. Through case studies in the Philippines, Afghanistan, India, and Bangladesh, the paper demonstrates how tools like climate budget tagging and climate change impact appraisal (CCIA) can increase the volume and quality of adaptation spending. It concludes with recommendations for governments to mainstream adaptation into routine public financial management and for international funders to use domestic budgets as a delivery modality for climate finance.","ai_generated":true,"unit":"wri-001806#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Domestic budgets are frequently the primary source of adaptation funding in developing countries, often exceeding international sources, yet they still fall short of projected needs.","ai_generated":true,"unit":"wri-001806#insight-1","date_modified":"2026-10-23"},{"text":"Preventative investments in climate adaptation are linked to higher GDP growth rates compared to taking no action or relying on remedial responses.","ai_generated":true,"unit":"wri-001806#insight-2","date_modified":"2026-10-23"},{"text":"Technical barriers to adaptation financing include definitional ambiguity regarding what constitutes adaptation and the difficulty of quantifying the economic returns of such investments.","ai_generated":true,"unit":"wri-001806#insight-3","date_modified":"2026-10-23"},{"text":"Institutional barriers include the perception of climate change as solely an environmental ministry issue, which leads to insufficient engagement from the ministries of finance and planning that control resources.","ai_generated":true,"unit":"wri-001806#insight-4","date_modified":"2026-10-23"},{"text":"Political counter-incentives exist because adaptation returns often occur in future election cycles, and politicians may gain more political capital from disaster response than from prevention.","ai_generated":true,"unit":"wri-001806#insight-5","date_modified":"2026-10-23"},{"text":"Climate budgeting can be integrated at various stages of the budget cycle, including public investment appraisal (CCIA), macroeconomic forecasting, budget guidelines, and expenditure tracking via tagging systems.","ai_generated":true,"unit":"wri-001806#insight-6","date_modified":"2026-10-23"},{"text":"The Philippines has successfully used 'Programme Convergence Budgeting' to coordinate multiple agencies under a single 'Climate Change Adaptation and Risk Resilience Program', contributing to a 22% compound annual growth rate in national adaptation appropriations from 2016 to 2019.","ai_generated":true,"unit":"wri-001806#insight-7","date_modified":"2026-10-23"},{"text":"In India, the states of Odisha and Chhattisgarh have used Climate Change Impact Appraisal (CCIA) to identify vulnerable investments and redesign programmes to enhance adaptation benefits.","ai_generated":true,"unit":"wri-001806#insight-8","date_modified":"2026-10-23"},{"text":"Afghanistan's Ministry of Finance implemented national climate budgeting guidelines, focusing on a few key ministries to efficiently identify investments that support resilience or are vulnerable to climate risks.","ai_generated":true,"unit":"wri-001806#insight-9","date_modified":"2026-10-23"},{"text":"In Bangladesh, civil society coalitions have used the government's Climate Budget Report to pressure the state for a 5% increase in climate-relevant budget shares and better reporting on the quality of spending.","ai_generated":true,"unit":"wri-001806#insight-10","date_modified":"2026-10-23"},{"text":"Effective climate budgeting requires anchoring reforms in existing public financial management (PFM) processes rather than creating parallel systems, and requires leadership from central bodies like ministries of finance.","ai_generated":true,"unit":"wri-001806#insight-11","date_modified":"2026-10-23"},{"text":"International climate finance should increasingly use domestic budgets as a delivery modality, including through budget support and 'top-ups' to government-financed development expenditure.","ai_generated":true,"unit":"wri-001806#insight-12","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate finance"],"geography_discussed":["Philippines","India","Odisha","Chhattisgarh","Assam","Afghanistan","Bangladesh","Nepal","Samoa","Seychelles","Tanzania","Uganda","Vanuatu","Thailand","Africa","Pakistan","Belize","Saint Lucia"],"frame_perspective":[],"analysis_type":["policy analysis","case study","fiscal assessment"]},{"id":"seforall-000006","url":"https://climateinsightsdirectory.org/document/seforall-000006","title":"Energizing Finance: Understanding the Landscape 2019","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"executive summary","language":"en","date_published":"2019-10-22","source_url":"https://www.seforall.org/publications/energizing-finance-understanding-the-landscape-2019","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies significant funding gaps for universal energy access, noting that 2017 electricity access finance for new households reached only a quarter of the required annual investment. It highlights critically low investment in Sub-Saharan Africa and a severe shortfall in clean cooking finance, which represents less than 1% of the needed amount. Additionally, it argues that continued investment in fossil fuel power plants is incompatible with the Paris Agreement and the SDGs.","ai_generated":true,"unit":"seforall-000006#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2017, total finance for electricity access was USD 36 billion, but only USD 12.6 billion supported new household access, which is only 25% of the USD 51 billion annual investment needed for universal access.","ai_generated":true,"unit":"seforall-000006#insight-1","date_modified":"2026-10-23"},{"text":"Investment in electricity for Sub-Saharan African countries is very low, with the exception of Nigeria; ten of the thirteen high-impact countries in this region received less than USD 300 million each in 2017, and four saw an absolute decline in investment.","ai_generated":true,"unit":"seforall-000006#insight-2","date_modified":"2026-10-23"},{"text":"There is a massive funding gap for clean cooking solutions, with only USD 32 million in tracked finance commitments against an annual requirement of USD 4.4 billion, meaning less than 1% of the finance needed for universal access by 2030 is being provided.","ai_generated":true,"unit":"seforall-000006#insight-3","date_modified":"2026-10-23"},{"text":"Finance for grid-connected fossil fuel power plants, including coal, dropped from USD 8.1 billion in the previous report to USD 6.6 billion, yet the document asserts that financing new non-renewable power contradicts the Paris Agreement, the SDGs, and responsible investing.","ai_generated":true,"unit":"seforall-000006#insight-4","date_modified":"2026-10-23"}],"climate_tags":["clean cooking","fossil fuel","coal","Paris Agreement","Sustainable Development Goals"],"geography_discussed":["sub-Saharan Africa","Nigeria","Afghanistan","Angola","Bangladesh","Burkina Faso","Congo (DR)","Ethiopia","India","Kenya","Korea (DPR)","Madagascar","Malawi","Mozambique","Myanmar","Niger","Philippines","Sudan","Tanzania","Uganda","Yemen","People's Republic of China","Indonesia","Nepal","Pakistan","Vietnam"],"frame_perspective":[],"analysis_type":["financial analysis","gap analysis"]},{"id":"clibonds-000714","url":"https://climateinsightsdirectory.org/document/clibonds-000714","title":"Climate Resilience Principles","publisher":{"name":"Climate Bonds Initiative","organization":"climate-bonds-initiative"},"document_type":"report","language":"en","date_published":"2019-09","source_url":"https://www.climatebonds.net/files/documents/publications/Climate-Resilience-Principles-A-framework-for-assessing-climate-resilience-investments.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Climate Bonds Initiative (CBI) has introduced the Climate Resilience Principles to integrate climate adaptation and resilience into the Climate Bonds Standard. The framework distinguishes between asset-focused investments (ensuring an asset's performance over its lifespan) and system-focused investments (delivering broader systemic benefits). It requires issuers to conduct physical climate risk assessments—covering hazards, exposure, and vulnerability—and demonstrate that investments are 'fit-for-purpose' and do not cause maladaptation. The Principles also address the potential for 'mitigation trade-offs,' where emissions requirements might be relaxed for projects providing exceptional resilience benefits. These Principles will be used by Technical Working Groups to create sector-specific certification criteria.","ai_generated":true,"unit":"clibonds-000714#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The framework identifies two primary categories of resilience investments: asset-focused, which aim to ensure an asset is \"fit-for-purpose over its design lifespan\", and system-focused, which are \"explicitly intended to deliver climate resilience benefits to the broader system\".","ai_generated":true,"unit":"clibonds-000714#insight-1","date_modified":"2026-10-23"},{"text":"Climate change risk is defined as a combination of three dimensions: the climate change hazard (shocks or stresses), climate change exposure (geographical and sectoral position), and climate change vulnerability (sensitivity to losses).","ai_generated":true,"unit":"clibonds-000714#insight-2","date_modified":"2026-10-23"},{"text":"To be eligible for certification, assets must be 'fit-for-purpose' and 'do no significant harm' to climate resilience, meaning they must not increase GHG emissions, increase exposure/vulnerability, reduce incentives to adapt, or create path dependency.","ai_generated":true,"unit":"clibonds-000714#insight-3","date_modified":"2026-10-23"},{"text":"The Principles require the use of multiple climate scenarios for risk assessments, specifically mandating RCP 8.5 at a minimum and RCP 4.5 if available.","ai_generated":true,"unit":"clibonds-000714#insight-4","date_modified":"2026-10-23"},{"text":"The framework proposes a qualitative approach to 'mitigation trade-offs,' where climate mitigation requirements may be lowered for assets whose resilience benefits \"considerably outweigh associated emissions\" or are critical for protecting communities in high-risk regions.","ai_generated":true,"unit":"clibonds-000714#insight-5","date_modified":"2026-10-23"},{"text":"Issuers are required to implement ongoing monitoring and evaluation of climate risks and benefits, with a mandate to \"annually verify this ongoing monitoring and evaluation\" to the Climate Bonds Initiative for the lifespan of the bond.","ai_generated":true,"unit":"clibonds-000714#insight-6","date_modified":"2026-10-23"},{"text":"The document notes a significant funding gap for adaptation, stating that while USD 200 billion globally will be required annually within twenty years to combat losses, historically less than a fifth of public climate finance has been dedicated to adaptation.","ai_generated":true,"unit":"clibonds-000714#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate resilience","climate change adaptation","climate bond","climate finance","Climate risk assessment","maladaptation","infrastructure resilience"],"geography_discussed":["People's Republic of China","France","Netherlands","United States","Benin","Bolivia","Antigua and Barbuda","Morocco","Afghanistan","Ethiopia"],"frame_perspective":[],"analysis_type":["framework","policy guidance"]},{"id":"prio-001353","url":"https://climateinsightsdirectory.org/document/prio-001353","title":"Empirical assessments of the development impacts of migration","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2019-09","source_url":"https://cdn.cloud.prio.org/files/517b4dbe-bb07-4948-8682-06274e5ef9d4/Empirical assessments of the development impacts of migration.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines how 'migration' and 'development' are defined and measured in quantitative research, highlighting a gap in evidence regarding migration aspirations, failed attempts, and involuntary immobility. It discusses the challenges of establishing causal links due to endogeneity—specifically reverse causality, self-selection, and omitted variables—and evaluates experimental and non-experimental methods to address these biases. The paper advocates for a holistic, multi-dimensional approach to development that moves beyond economic metrics to include social, institutional, and environmental outcomes.","ai_generated":true,"unit":"prio-001353#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There is a significant lack of empirical research and data on the development impacts of migration aspirations, failed migration attempts, and involuntary immobility, which represents a gap in the current migration-development nexus literature.","ai_generated":true,"unit":"prio-001353#insight-1","date_modified":"2026-10-23"},{"text":"Involuntary immobility can lead to 'aspiration traps,' where individuals adjust their life expectations downward to avoid unhappiness, potentially hindering long-term investments in education or economic change at the individual, household, and community levels.","ai_generated":true,"unit":"prio-001353#insight-2","date_modified":"2026-10-23"},{"text":"Quantitative empirical literature on migration is heavily biased toward economic and social development outcomes (such as education and health), while institutional and environmental impacts are rarely analyzed.","ai_generated":true,"unit":"prio-001353#insight-3","date_modified":"2026-10-23"},{"text":"Establishing causal impacts of migration on development is complicated by endogeneity, which manifests as reverse causality (where development drives migration), self-selection (migrants differ systematically from non-migrants), and omitted variable bias.","ai_generated":true,"unit":"prio-001353#insight-4","date_modified":"2026-10-23"},{"text":"Experimental methods, including natural experiments (e.g., economic shocks or policy changes) and true randomized field experiments, are effective for addressing self-selection issues, though they may suffer from limited geographical scope or weak external validity.","ai_generated":true,"unit":"prio-001353#insight-5","date_modified":"2026-10-23"},{"text":"Non-experimental methods to address endogeneity include instrumental variables, selection-correction models, and propensity score matching, though finding valid instruments is difficult and matching only addresses observable characteristics.","ai_generated":true,"unit":"prio-001353#insight-6","date_modified":"2026-10-23"},{"text":"The 'triple selectivity problem' occurs when research analyzes return migration, as it involves three layers of selection: who emigrates, who returns, and who engages in labor market activities upon return.","ai_generated":true,"unit":"prio-001353#insight-7","date_modified":"2026-10-23"},{"text":"Remittance data from Balance of Payment (BOP) statistics is often approximately 75% higher than data from household surveys, suggesting significant underreporting in surveys due to recall bias or intentional misreporting.","ai_generated":true,"unit":"prio-001353#insight-8","date_modified":"2026-10-23"},{"text":"To improve future research, the authors recommend oversampling migrant groups because random sampling often fails to produce a sufficient sample size, as many countries have international emigration rates below 2% of the population.","ai_generated":true,"unit":"prio-001353#insight-9","date_modified":"2026-10-23"}],"climate_tags":["economic growth"],"geography_discussed":["Colombia","Fiji","Georgia","Ghana","Jamaica","North Macedonia","Vietnam","Armenia","Burkina Faso","Cambodia","Costa Rica","Ivory Coast","Dominican Republic","Haiti","Morocco","Philippines","Afghanistan","Cape Verde","Ethiopia","Guinea","Nigeria","Pakistan","Somalia","Tunisia","Turkey"],"frame_perspective":[],"analysis_type":["methodological review","conceptual analysis"]},{"id":"prio-001718","url":"https://climateinsightsdirectory.org/document/prio-001718","title":"The Fall and Rise of the Islamic State (IS)","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"briefing","language":"en","date_published":"2019-04","source_url":"https://cdn.cloud.prio.org/files/0c92b46a-57a3-4128-ac41-8009912be3e4/Rustad Tollefsen Gates - The Fall and Rise of the Islamic State IS Conflict Trends 4-2019.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed"],"summary":{"text":"The briefing examines the role of the Islamic State (IS) as a driver of global conflict, noting that IS-related conflicts constituted approximately one third of all civil conflicts over the past five years. It argues that IS increases conflict complexity and polarization, making peace agreements less likely. Analysis of IS in Syria and Iraq reveals a strategy that prioritizes fighting over economic development and targets Sunni-dominated areas and petroleum-rich border regions. The authors conclude that these patterns make IS a persistent threat in other resource-rich countries with uncontrolled hinterlands, such as Libya, Chad, Niger, and Nigeria.","ai_generated":true,"unit":"prio-001718#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Islamic State (IS) has significantly influenced global conflict trends, with IS-related conflicts accounting for roughly one third of all civil conflicts over the last five years. In 2018, 12 out of 52 conflicts involved IS, and these conflicts were responsible for approximately 20% of all battle-related deaths worldwide.","ai_generated":true,"unit":"prio-001718#insight-1","date_modified":"2026-10-23"},{"text":"IS involvement in existing civil conflicts typically increases polarization and complexity, which hinders the possibility of peace agreements. This is exemplified by the Mindanao conflict in the Philippines, where IS's goal of incorporating the area into a global Caliphate makes negotiations with the government less likely than they would be with local groups having specific territorial claims.","ai_generated":true,"unit":"prio-001718#insight-2","date_modified":"2026-10-23"},{"text":"Analysis of nightlight emissions in Syria and Iraq indicates that IS prioritizes military expenditure over the production of collective economic goods. This suggests that IS can sustain asymmetric warfare for extended periods even with limited military power, provided they have the resource capacity to continue fighting.","ai_generated":true,"unit":"prio-001718#insight-3","date_modified":"2026-10-23"},{"text":"IS territorial expansion between 2013 and 2015 was driven by the targeting of Sunni-dominated areas where recruitment was easier and resistance lower. The group also strategically focused on border areas to facilitate the entry of foreign militants and the smuggling of resources.","ai_generated":true,"unit":"prio-001718#insight-4","date_modified":"2026-10-23"},{"text":"The financial viability of the IS Caliphate was heavily dependent on the seizure of petroleum fields and the subsequent sale of oil, making the group one of the wealthiest terrorist organizations in history.","ai_generated":true,"unit":"prio-001718#insight-5","date_modified":"2026-10-23"},{"text":"Despite the loss of its primary stronghold in Syria and Iraq by August 2018, IS remains a threat in other countries with similar conditions, specifically those with petroleum resources, uncontrolled hinterlands, and excluded groups, such as Libya, Chad, Niger, and Nigeria.","ai_generated":true,"unit":"prio-001718#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Syria","Iraq","Mali","Afghanistan","Burkina Faso","Nigeria","Bangladesh","Philippines","Mindanao","Algeria","Mauritania","Somalia","Kenya","Libya","Chad","Niger"],"frame_perspective":[],"analysis_type":[]},{"id":"prio-001509","url":"https://climateinsightsdirectory.org/document/prio-001509","title":"How Does Political Violence Target Women?","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"policy brief","language":"en","date_published":"2019-02","source_url":"https://cdn.cloud.prio.org/files/08fd6c57-da25-46ad-90c1-69cfed5e1061/Kishi Roudabeh and Louise Olsson - How Does Political Violence Target Women GPS Policy Brief 2-2019.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed"],"summary":{"text":"The document introduces ACLED data on political violence targeting women (PVTW), defining it as the use of physical force by groups with political motivations in the public sphere. The analysis reveals that while sexual violence is a significant threat, non-sexual attacks are the most commonly reported type of PVTW globally. The brief highlights regional variations in both the types of violence and the perpetrators, noting that anonymous armed groups are the most frequent offenders overall, while state forces, political militias, and mobs dominate in specific regions. The authors argue that understanding these patterns is essential for evidence-based Women, Peace and Security (WPS) policies and for achieving 'security equality' by recognizing women as active political agents rather than mere victims.","ai_generated":true,"unit":"prio-001509#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Non-sexual attacks are the most frequently reported form of political violence targeting women (PVTW) globally, contrary to common assumptions that such violence is primarily sexual. This type of violence accounts for more than two-thirds of PVTW in Latin America and the Caribbean, the Middle East, the Caucasus and Central Asia, and Southeastern and Eastern Europe and the Balkans.","ai_generated":true,"unit":"prio-001509#insight-1","date_modified":"2026-10-23"},{"text":"Sexual violence represents a substantial proportion of PVTW in specific regions, comprising more than one-third of reported cases in both Southeast Asia and Africa.","ai_generated":true,"unit":"prio-001509#insight-2","date_modified":"2026-10-23"},{"text":"Anonymous or unidentified armed groups are the most common perpetrators of PVTW, accounting for over one-third of all reported cases. This anonymity may be a strategic choice by perpetrators to avoid responsibility or a result of reporting limitations.","ai_generated":true,"unit":"prio-001509#insight-3","date_modified":"2026-10-23"},{"text":"Perpetrator types vary significantly by region: state forces (military or police) are the primary perpetrators in the Middle East, Southeast Asia, and the Caucasus and Central Asia; political militias are highly active in Africa; and mobs are the primary perpetrators in South Asia.","ai_generated":true,"unit":"prio-001509#insight-4","date_modified":"2026-10-23"},{"text":"Mob violence and abductions/forced disappearances are often under-analyzed in Women, Peace and Security (WPS) settings. Mob violence is particularly prevalent in South Asia and Africa, while abductions and forced disappearances are most commonly reported in Africa.","ai_generated":true,"unit":"prio-001509#insight-5","date_modified":"2026-10-23"},{"text":"Political violence targeting women is a strategic tool used to hinder women's political participation, and it occurs both within war-time contexts and in non-war environments where political processes are contested.","ai_generated":true,"unit":"prio-001509#insight-6","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Middle East","Southeastern and Eastern Europe and the Balkans","Caucasus and Central Asia","Latin America and the Caribbean","Africa","Southeast Asia","South Asia","Syria","South Sudan","Myanmar","Zimbabwe","India","Nigeria","Sudan","Democratic Republic of the Congo","Afghanistan","Greece","Philippines","Burundi","West Bank"],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000642","url":"https://climateinsightsdirectory.org/document/cdkn-000642","title":"The IPCC’s Special Report on Climate Change and Land","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"guide","language":"en","date_published":"2019","source_url":"https://cdkn.org/sites/default/files/files/IPCC-Land_S-Asia_WEB_20Nov2019.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the reciprocal relationship between climate change and land in South Asia, highlighting the region's high vulnerability to desertification and land degradation. It details how these processes act as 'threat multipliers' for poverty and food insecurity, specifically citing crop yield declines in India and Pakistan. The guide proposes integrated governance, sustainable land management (SLM), and gender-responsive policies as essential strategies for resilience. It emphasizes that while land-based mitigation (like afforestation) is valuable, it must be balanced with emissions reductions in other sectors to avoid increasing competition for land and jeopardizing food security.","ai_generated":true,"unit":"cdkn-000642#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Climate change and land have a reciprocal influence; while climate change alters land cover, biodiversity, and nutrient cycles, land conditions—including human management like deforestation and urbanisation—affect regional climates and the frequency of extreme weather events.","ai_generated":true,"unit":"cdkn-000642#insight-1","date_modified":"2026-10-23"},{"text":"South Asia is highly vulnerable to desertification, with significant impacts already observed in India and Pakistan. In India, satellite mapping indicates 81.4 million hectares are suffering from desertification processes, and 7 million hectares are subject to salinisation.","ai_generated":true,"unit":"cdkn-000642#insight-2","date_modified":"2026-10-23"},{"text":"Global warming is actively reducing agricultural productivity in South Asia. Between 1981 and 2009, wheat yields in India decreased by 5.2% despite adaptation efforts, and in Pakistan, maize growing periods have shifted by several days per decade.","ai_generated":true,"unit":"cdkn-000642#insight-3","date_modified":"2026-10-23"},{"text":"Land degradation and climate change function as 'threat multipliers' for the most vulnerable, including women and youth. The World Bank projects an 18% reduction in the mean yields of 11 major global crops in South Asia by 2046–2055.","ai_generated":true,"unit":"cdkn-000642#insight-4","date_modified":"2026-10-23"},{"text":"Sustainable land management (SLM) and agroforestry can reverse degradation and provide positive economic returns, though adoption varies by household wealth. In South India, 97% of relatively rich households that adopted agroforestry continued the practice six to eight years later.","ai_generated":true,"unit":"cdkn-000642#insight-5","date_modified":"2026-10-23"},{"text":"Gender inequality and insecure property rights significantly hinder progress in sustainable land management. Women often face barriers to credit, agricultural advisory services, and decision-making power, despite possessing vital knowledge for adaptation.","ai_generated":true,"unit":"cdkn-000642#insight-6","date_modified":"2026-10-23"},{"text":"Integrated governance across sectors and scales is necessary to maximize the co-benefits of development and climate adaptation. This includes combining crop insurance, sustainable land management, and water infrastructure programmes.","ai_generated":true,"unit":"cdkn-000642#insight-7","date_modified":"2026-10-23"},{"text":"Relying solely on land-based mitigation, such as large-scale bioenergy crops or afforestation, can create dangerous competition for land, potentially jeopardizing food security and the Sustainable Development Goals.","ai_generated":true,"unit":"cdkn-000642#insight-8","date_modified":"2026-10-23"}],"climate_tags":["land degradation","desertification","food security","climate change adaptation","climate change mitigation","Sustainable land management","agroforestry","carbon sequestration","bioenergy","afforestation","gender equality","climate finance","crop yield"],"geography_discussed":["India","Pakistan","Bangladesh","Nepal","Afghanistan","World"],"frame_perspective":[],"analysis_type":["policy guide","regional assessment","synthesis of scientific reports"]},{"id":"iisd-003125","url":"https://climateinsightsdirectory.org/document/iisd-003125","title":"Regards sur les incitations : Concurrence fiscale dans le secteur minier","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"fr","date_published":"2019","source_url":"https://www.iisd.org/system/files/2025-02/insights-incentives-tax-competition-mining-fr.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes tax incentives across 104 mining projects in 21 developing countries, finding that while legislation is the primary source of incentives, African countries rely more heavily on discretionary contracts. The most common incentives are fiscal stabilization clauses and corporate income tax breaks, both of which pose significant revenue risks. The study notes that the use of these incentives peaked in the late 1990s and again during the 2014-2016 commodity price crash, suggesting a correlation between low commodity prices and more generous tax terms.","ai_generated":true,"unit":"iisd-003125#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Governments are more likely to grant tax incentives through primary legislation than through individual contracts. This is generally viewed positively as laws are public and subject to legislative review, whereas contracts are often \"discretionnaire, secret et susceptible d’être corrompu\".","ai_generated":true,"unit":"iisd-003125#insight-1","date_modified":"2026-10-23"},{"text":"Regional differences exist in how incentives are granted; African countries provide more incentives via contracts compared to countries in Asia and Latin America.","ai_generated":true,"unit":"iisd-003125#insight-2","date_modified":"2026-10-23"},{"text":"Fiscal stabilization and corporate income tax incentives are the most frequent types of incentives in both primary law and contracts. These are identified as high-risk for public revenues, as they can limit a government's ability to correct errors or address unexpected revenue losses.","ai_generated":true,"unit":"iisd-003125#insight-3","date_modified":"2026-10-23"},{"text":"Incentives related to withholding tax are common and increase the risk of base erosion and profit shifting (BEPS), as they encourage investors to transfer profits to foreign affiliates in low-tax jurisdictions.","ai_generated":true,"unit":"iisd-003125#insight-4","date_modified":"2026-10-23"},{"text":"Cost-based incentives, such as investment deductions and tax credits, are rare, appearing only in the legislation of Colombia, Mongolia, and the Philippines, despite being better suited for mining investments than profit-based incentives.","ai_generated":true,"unit":"iisd-003125#insight-5","date_modified":"2026-10-23"},{"text":"Royalty-based incentives are frequently found in contracts but are rarely present in primary legislation. This is concerning because royalties provide a regular and predictable revenue stream for governments.","ai_generated":true,"unit":"iisd-003125#insight-6","date_modified":"2026-10-23"},{"text":"Fiscal stabilization clauses are nearly universal, with an average duration of 20 years. In some countries, such as Guinea, Burkina Faso, Burundi, Madagascar, and Mali, these clauses average 30-34 years, which the report suggests may be \"outils de recherche de rente\" rather than necessary financial guarantees.","ai_generated":true,"unit":"iisd-003125#insight-7","date_modified":"2026-10-23"},{"text":"Corporate tax holidays are offered by more than half of the analyzed countries, with an average duration of nine years. These are considered inefficient because mining is site-specific and they may encourage investors to accelerate production or shift profits abroad during the exemption period.","ai_generated":true,"unit":"iisd-003125#insight-8","date_modified":"2026-10-23"},{"text":"The use of tax incentives peaked in the late 1990s (averaging 4.7 per contract) and again after 2014, coinciding with the collapse of commodity prices, suggesting countries offer more generous terms to attract investment when prices are low.","ai_generated":true,"unit":"iisd-003125#insight-9","date_modified":"2026-10-23"}],"climate_tags":["mining industry","tax incentive"],"geography_discussed":["Africa","Asia","Latin America"],"frame_perspective":[],"analysis_type":["comparative analysis","database analysis"]},{"id":"prio-001550","url":"https://climateinsightsdirectory.org/document/prio-001550","title":"The Effects of Internal Armed Conflict on Women’s Labour Rights","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"research paper","language":"en","date_published":"2019","source_url":"https://cdn.cloud.prio.org/files/aa918ec3-de57-473e-af96-a1b602a4750b/Masters thesis_Natalie M Dyvesether.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The study finds that internal armed conflict generally leads to a net negative change in women's labour rights during and immediately after conflict. While some qualitative literature suggests conflicts can create opportunities for women's employment, this large-n analysis indicates that negative mechanisms—such as post-conflict insecurity, violence, and a return to traditional gender roles—outweigh potential gains.","ai_generated":true,"unit":"prio-001550#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Internal armed conflict is associated with a negative change in women's labour rights in the aftermath of conflict, specifically during the conflict itself and for a post-conflict period of up to five years.","ai_generated":true,"unit":"prio-001550#insight-1","date_modified":"2026-10-23"},{"text":"The negative impact on women's labour rights is persistent, remaining significant when the post-conflict period is extended to ten years.","ai_generated":true,"unit":"prio-001550#insight-2","date_modified":"2026-10-23"},{"text":"While both minor conflicts and wars negatively affect women's labour rights, ongoing internal wars have a larger negative impact on the level of these rights than minor internal conflicts.","ai_generated":true,"unit":"prio-001550#insight-3","date_modified":"2026-10-23"},{"text":"The intensity of the conflict (whether it is a minor conflict or a war) does not significantly affect the change in women's labour rights during the five-year post-conflict period; the mere occurrence of conflict is the decisive factor.","ai_generated":true,"unit":"prio-001550#insight-4","date_modified":"2026-10-23"},{"text":"Higher levels of GDP per capita and women's political rights are both positively and significantly associated with strengthened labour rights for women.","ai_generated":true,"unit":"prio-001550#insight-5","date_modified":"2026-10-23"},{"text":"The relationship between internal conflict and women's labour rights is sensitive to geographic region; while negative and significant in Asia and the Middle East, the association in the Americas was positive but non-significant.","ai_generated":true,"unit":"prio-001550#insight-6","date_modified":"2026-10-23"},{"text":"The study suggests that negative mechanisms, such as the normalization of violence and the 'male breadwinner bias' where employers prioritize male employment, outweigh potential positive ripple effects like increased female labour force participation during conflict.","ai_generated":true,"unit":"prio-001550#insight-7","date_modified":"2026-10-23"},{"text":"Post-conflict insecurity and the relocation of gender-based violence from the public to the private sphere act as significant barriers to women's economic participation.","ai_generated":true,"unit":"prio-001550#insight-8","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Rwanda","Bangladesh","Sri Lanka","Cambodia","Nepal","Kosovo","Colombia","Tajikistan","Timor-Leste","Bosnia and Herzegovina","Georgia","Guatemala","Afghanistan","Liberia","Burundi","Europe","Africa","Americas"],"frame_perspective":[],"analysis_type":["quantitative","panel analysis","ordered probit","pooled OLS"]},{"id":"sei-001429","url":"https://climateinsightsdirectory.org/document/sei-001429","title":"Kas Eesti täidab Pariisi kliimakokkulepet?","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"et","date_published":"2018-11","source_url":"https://www.sei.org/wp-content/uploads/2018/11/kas-eesti-täidab-pariisi-kliimakokkulepet-23.11.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that Estonia is likely to meet its 2020 climate and energy commitments, though it faces significant challenges for 2030. While the 2020 renewable energy target for overall consumption was met as early as 2013, the transport sector's renewable energy share remained critically low at 0.4% in 2016. Greenhouse gas emissions are heavily dominated by the energy sector (approximately 70%), with high per capita emissions compared to the EU average. The report concludes that achieving 2030 targets will require additional measures across all sectors, particularly in reducing non-ETS emissions and increasing energy efficiency.","ai_generated":true,"unit":"sei-001429#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Estonia's greenhouse gas (GHG) emissions are heavily concentrated in the energy sector, which accounts for approximately 70% of total emissions, followed by transport (13%) and agriculture (9%).","ai_generated":true,"unit":"sei-001429#insight-1","date_modified":"2026-10-23"},{"text":"Estonia has significantly higher GHG emissions per capita and per unit of GDP than the EU average; in 2016, per capita emissions were 14.7 kg CO2e compared to the EU average of 8.7 kg CO2e.","ai_generated":true,"unit":"sei-001429#insight-2","date_modified":"2026-10-23"},{"text":"Estonia met its EU target of 25% renewable energy in final energy consumption for 2020 as early as 2013, reaching 28.8% by 2016.","ai_generated":true,"unit":"sei-001429#insight-3","date_modified":"2026-10-23"},{"text":"The transport sector is failing to meet renewable energy targets; in 2016, the share of renewable energy in transport was only 0.4%, far below the EU target of 10% for 2020.","ai_generated":true,"unit":"sei-001429#insight-4","date_modified":"2026-10-23"},{"text":"Estonia is close to meeting its 2020 energy efficiency target (limiting final energy consumption to 2010 levels), but current data suggests 2030 targets will not be met without increased efficiency.","ai_generated":true,"unit":"sei-001429#insight-5","date_modified":"2026-10-23"},{"text":"While 2020 GHG targets are likely to be met, the 2030 targets for the non-ETS sector (a 13% reduction compared to 2005) will likely not be achieved based on current projections.","ai_generated":true,"unit":"sei-001429#insight-6","date_modified":"2026-10-23"},{"text":"Estonia has implemented the solidarity principle of the Paris Agreement by contributing 200,000 euros to the Green Climate Fund in 2016 and establishing support for transferring climate technologies to developing countries.","ai_generated":true,"unit":"sei-001429#insight-7","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","renewable energy","energy efficiency","Paris Agreement","Villevocance","bioenergy","electric vehicle","climate finance","Green Climate Fund"],"geography_discussed":["European Union","Bhutan","Afghanistan"],"frame_perspective":[],"analysis_type":["policy assessment","progress report"]},{"id":"iisd-001745","url":"https://climateinsightsdirectory.org/document/iisd-001745","title":"Local Content Policies in the Mining Sector: Stimulating direct local employment","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2018-10","source_url":"https://www.iisd.org/system/files/publications/local-content-policies-mining-direct-local-employment.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines how host governments can stimulate direct local employment in mining to drive socioeconomic growth and maintain a social licence to operate. It outlines a five-step process for developing local employment policies: assessing the sector's role in national development, evaluating labour supply and demand, setting goals, formulating policies, and monitoring outcomes. The report categorizes interventions into regulatory 'stick' policies—such as employment quotas, mandated training, and visa restrictions—and facilitative 'carrot' policies, including bidding preferences, fiscal incentives, and support for training facilities. It emphasizes the need for context-specific strategies that address gender inequality and the inclusion of Indigenous Peoples, while warning that automation and technological trends may shift future workforce requirements.","ai_generated":true,"unit":"iisd-001745#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Mining's contribution to direct employment is relatively small, estimated at around 1–2 per cent of total direct employment in a country, though this can increase to 3–15 per cent when indirect and induced employment are included.","ai_generated":true,"unit":"iisd-001745#insight-1","date_modified":"2026-10-23"},{"text":"Governments use local employment policies to achieve several objectives: responding to political pressure for job creation, maintaining a \"social licence to operate,\" increasing tax revenues, developing the national labour force, progressing gender equality and social inclusion, and maximizing fiscal revenues by reducing project costs.","ai_generated":true,"unit":"iisd-001745#insight-2","date_modified":"2026-10-23"},{"text":"Regulatory approaches to local employment typically involve mandatory, compliance-based policies such as minimum employment quotas, which are common in developing states but can stifle investment if targets are unrealistic.","ai_generated":true,"unit":"iisd-001745#insight-3","date_modified":"2026-10-23"},{"text":"Facilitative approaches use incentives to encourage local hiring, such as giving preference in the bidding process to companies with strong local employment strategies or providing tax deductions for training expenses.","ai_generated":true,"unit":"iisd-001745#insight-4","date_modified":"2026-10-23"},{"text":"Succession or localization plans are used to transition technical or management roles from expatriates to locals; for example, Nigeria's law allows a local to understudy an expatriate for a maximum of four years before the position is \"Nigerianized.\"","ai_generated":true,"unit":"iisd-001745#insight-5","date_modified":"2026-10-23"},{"text":"Women are significantly under-represented in the global extractives workforce, estimated at only 10 per cent, and policies must address workplace culture and safety beyond simple recruitment to be effective.","ai_generated":true,"unit":"iisd-001745#insight-6","date_modified":"2026-10-23"},{"text":"Local content policies can be used to facilitate the participation of Indigenous Peoples through formal agreements, such as Impact and Benefit Agreements (IBAs) in Canada or the Argyle ILUA Management Plan in Australia.","ai_generated":true,"unit":"iisd-001745#insight-7","date_modified":"2026-10-23"},{"text":"Technological trends, particularly automation, are expected to impact the number and types of jobs available in the future, potentially reducing the overall number of positions and changing skill requirements.","ai_generated":true,"unit":"iisd-001745#insight-8","date_modified":"2026-10-23"}],"climate_tags":["mining industry","employment","gender equality","indigenous people","economic diversity"],"geography_discussed":["Nigeria","Ghana","Angola","Indonesia","Kazakhstan","South Africa","Chile","Canada","Papua New Guinea","Philippines","Norway","Malaysia","Qatar","Afghanistan","Tanzania","Brazil","Thailand","Azerbaijan","Zambia","Botswana"],"frame_perspective":[],"analysis_type":["policy review","framework development"]},{"id":"iisd-003218","url":"https://climateinsightsdirectory.org/document/iisd-003218","title":"Local Content Policies in the Mining Sector","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2018-10","source_url":"https://www.iisd.org/system/files/publications/local-content-policies-mining-downstream-linkages.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines downstream beneficiation—the domestic processing of raw materials—noting that policies are often driven by political goals rather than economic analysis. It identifies key prerequisites for success, including guaranteed market demand, infrastructure, and inexpensive energy, while arguing that proximity to raw materials is increasingly less important than proximity to consumers. The document analyzes five policy options: incentives, prescriptive measures, negotiations, bidding, and government-led investments, highlighting that without a strong business case, these can lead to inefficient 'white elephant' projects. It concludes with recommendations for governments to use market and cost-benefit analyses, including considerations for environmental externalities and the risk of stranded assets in the oil and gas sector due to global decarbonization targets.","ai_generated":true,"unit":"iisd-003218#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Downstream beneficiation policies in resource-rich developing countries are frequently motivated by short-term political goals and a desire to reverse colonial-era extractive patterns rather than by rigorous economic or cost-benefit analyses, often leading to unsustainable long-term outcomes.","ai_generated":true,"unit":"iisd-003218#insight-1","date_modified":"2026-10-23"},{"text":"The viability of downstream investments depends on several critical prerequisites: stable market demand, strategic location with strong infrastructure, access to low-cost energy (especially for power-intensive processes like aluminum smelting), a competitive and skilled labour force, and macroeconomic stability.","ai_generated":true,"unit":"iisd-003218#insight-2","date_modified":"2026-10-23"},{"text":"Proximity to raw materials is not a primary determinant of downstream sector viability; instead, falling transport costs and trade barriers have shifted the advantage toward locations close to consumer markets.","ai_generated":true,"unit":"iisd-003218#insight-3","date_modified":"2026-10-23"},{"text":"Governments employ various policy mechanisms to encourage beneficiation, each with distinct trade-offs: incentives can make marginal projects viable but risk revenue loss and corruption; prescriptive measures (like export bans) can force investment but may deter future mining and violate trade agreements; and negotiations are effective only when the government holds significant bargaining power.","ai_generated":true,"unit":"iisd-003218#insight-4","date_modified":"2026-10-23"},{"text":"Government-led investments in downstream sectors, such as Nigeria's refineries, often fail due to mismanagement, corruption, and a lack of commercial mandates, resulting in low production levels and continued reliance on imports.","ai_generated":true,"unit":"iisd-003218#insight-5","date_modified":"2026-10-23"},{"text":"In the oil and gas sector, downstream investments face a significant risk of becoming stranded assets as the world seeks to meet the 2°C global warming target of the Paris Agreement; for example, 22% of Nigerian oil value chain capital expenditure until 2025 may be unnecessary in a decarbonizing world.","ai_generated":true,"unit":"iisd-003218#insight-6","date_modified":"2026-10-23"}],"climate_tags":["mining industry","stranded asset","decarbonization","Paris Agreement","energy transition"],"geography_discussed":["Australia","Botswana","Nigeria","Indonesia","Singapore","Mozambique","Norway","Ghana","Paraguay","India","Spain","Antwerp","People's Republic of China","Afghanistan","Timor-Leste"],"frame_perspective":[],"analysis_type":["policy evaluation","economic analysis","case study"]},{"id":"iisd-001558","url":"https://climateinsightsdirectory.org/document/iisd-001558","title":"Local content policies","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"guide","language":"en","date_published":"2018-07","source_url":"https://www.iisd.org/system/files/publications/igf-guidance-for-governments-local-content.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines a four-step process for governments to leverage mining investments for national development: aligning with national objectives, taking stock of current capabilities, crafting specific policies, and establishing monitoring mechanisms. It details five types of local content policies: local procurement, direct employment, horizontal linkages (infrastructure and capabilities), downstream beneficiation, and the fostering of national mining firms. The guide emphasizes that policies must be context-specific, gender-equitable, and compliant with international trade and investment laws, while warning that automation may reduce future employment and procurement opportunities.","ai_generated":true,"unit":"iisd-001558#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Local content policies are highly context-specific, and there is no universal template for success because countries differ in resource endowments, local skill sets, infrastructure, and investment environments.","ai_generated":true,"unit":"iisd-001558#insight-1","date_modified":"2026-10-23"},{"text":"Governments should follow a four-step sequence to implement local content: first, ensure fit with national development objectives; second, take stock of the sectoral context and gaps; third, craft specific policies; and fourth, establish monitoring, review, and enforcement mechanisms.","ai_generated":true,"unit":"iisd-001558#insight-2","date_modified":"2026-10-23"},{"text":"Local procurement policies can increase national GDP more than taxes and royalties and can serve as a gateway to economic diversification if suppliers eventually move into non-mining sectors.","ai_generated":true,"unit":"iisd-001558#insight-3","date_modified":"2026-10-23"},{"text":"Local direct employment policies are often the first step in local content strategies because they build the foundational skills necessary for more complex horizontal and downstream linkages.","ai_generated":true,"unit":"iisd-001558#insight-4","date_modified":"2026-10-23"},{"text":"Horizontal linkages can be developed through two channels: infrastructure-led (where mining infrastructure like roads or power benefits other sectors) and capabilities-led (where technology and skills from mining are applied elsewhere).","ai_generated":true,"unit":"iisd-001558#insight-5","date_modified":"2026-10-23"},{"text":"Downstream linkages (beneficiation) aim for diversification within the mining sector but are risky; success depends on whether a country can remain globally competitive in processing, which is often driven by cost factors and energy access rather than just proximity to raw materials.","ai_generated":true,"unit":"iisd-001558#insight-6","date_modified":"2026-10-23"},{"text":"Policies to foster national mining firms, including state-owned enterprises (SOEs), can provide sovereign control and social development mandates but risk inefficiency, corruption, and political interference if not managed with commercial independence.","ai_generated":true,"unit":"iisd-001558#insight-7","date_modified":"2026-10-23"},{"text":"Technological evolution, specifically automation, is expected to reduce employment per unit of value, particularly for low- and mid-level skilled jobs, and decrease domestic procurement for employee-linked services like food and housing.","ai_generated":true,"unit":"iisd-001558#insight-8","date_modified":"2026-10-23"},{"text":"Local content requirements may conflict with international trade and investment law, specifically WTO rules on trade-related investment measures (TRIMS) and bilateral investment treaties that prohibit performance requirements or forced joint ventures.","ai_generated":true,"unit":"iisd-001558#insight-9","date_modified":"2026-10-23"}],"climate_tags":["mining industry","economic diversity","greenhouse gas emissions","gender equality","social inclusion"],"geography_discussed":["South Africa","Ghana","Canada","Australia","Botswana","Kazakhstan","Indonesia","Chile","Norway","Brazil","Nigeria","Tanzania","Angola","Philippines","Mozambique","Singapore","Afghanistan"],"frame_perspective":[],"analysis_type":["policy guide","strategic framework"]},{"id":"iisd-001559","url":"https://climateinsightsdirectory.org/document/iisd-001559","title":"Guide IGF pour les gouvernements : Les politiques de contenu local","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"guide","language":"fr","date_published":"2018-07","source_url":"https://www.iisd.org/system/files/publications/igf-guidance-for-governments-local-content-fr.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines a four-step process for governments to integrate the mining sector into national development plans through local content policies. It categorizes these policies into five main types: local procurement, direct local employment, horizontal linkages (infrastructure and capacity), downstream linkages (product enrichment), and the strengthening of national mining companies. The guide emphasizes that there is no one-size-fits-all model, as success depends on a country's specific industrial base, skills availability, and business climate. It also addresses cross-cutting challenges, such as the impact of automation on employment and the potential conflicts between local content requirements and international trade and investment laws.","ai_generated":true,"unit":"iisd-001559#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Local content policies are widely adopted, with an estimated 90% of resource-rich countries, including both developed and developing nations, implementing some form of such policy.","ai_generated":true,"unit":"iisd-001559#insight-1","date_modified":"2026-10-23"},{"text":"The guide proposes a four-step methodology for governments: ensuring compatibility with national development goals, conducting a situational analysis (fact-finding), policy formulation, and establishing monitoring, control, and enforcement mechanisms.","ai_generated":true,"unit":"iisd-001559#insight-2","date_modified":"2026-10-23"},{"text":"Local procurement policies can significantly increase the mining industry's contribution to national GDP, often possessing greater potential than taxes and royalties.","ai_generated":true,"unit":"iisd-001559#insight-3","date_modified":"2026-10-23"},{"text":"Direct local employment policies are often the starting point for local content strategies because they build the basic skills and capacities necessary for more complex horizontal and downstream linkages.","ai_generated":true,"unit":"iisd-001559#insight-4","date_modified":"2026-10-23"},{"text":"Horizontal linkages are divided into two channels: infrastructure-based (shared-use assets like roads and power) and capacity-based (transferring technology and skills to non-mining sectors).","ai_generated":true,"unit":"iisd-001559#insight-5","date_modified":"2026-10-23"},{"text":"Downstream linkages aim for economic diversification by encouraging local processing and value addition, though success is difficult and depends on international competitiveness and access to cheap energy.","ai_generated":true,"unit":"iisd-001559#insight-6","date_modified":"2026-10-23"},{"text":"Policies to strengthen national mining companies include mandatory joint ventures, the promotion of state-owned enterprises (SOEs), and technology transfer requirements, though these can conflict with international investment laws.","ai_generated":true,"unit":"iisd-001559#insight-7","date_modified":"2026-10-23"},{"text":"Automation in mining is expected to reduce employment per unit of value, particularly affecting low- and medium-skilled jobs and reducing national procurement for employee-related services like housing and food.","ai_generated":true,"unit":"iisd-001559#insight-8","date_modified":"2026-10-23"},{"text":"Local content requirements may violate international trade obligations, specifically the WTO's Agreement on Trade-Related Investment Measures (TRIMS), which prohibits advantages conditional on local content.","ai_generated":true,"unit":"iisd-001559#insight-9","date_modified":"2026-10-23"},{"text":"Effective monitoring requires standardized reporting models for mining companies and independent review mechanisms to ensure that failure leads to policy revision rather than just punishment.","ai_generated":true,"unit":"iisd-001559#insight-10","date_modified":"2026-10-23"}],"climate_tags":["mining industry","economic diversity","industrial policy","employment","technology transfer","infrastructure","gender equality","social inclusion","greenhouse gas emissions"],"geography_discussed":["South Africa","Ghana","Kazakhstan","Australia","Canada","Brazil","Mozambique","Indonesia","Botswana","Nigeria","Chile","Afghanistan","Norway","Philippines"],"frame_perspective":[],"analysis_type":["policy guide","strategic framework"]},{"id":"prio-001340","url":"https://climateinsightsdirectory.org/document/prio-001340","title":"CONFLICT TRENDS 2017","publisher":{"name":"Peace Research Institute Oslo","organization":"peace-research-institute-oslo"},"document_type":"report","language":"en","date_published":"2018-05","source_url":"https://cdn.cloud.prio.org/files/1dce3b35-6fa7-43d9-aaa8-d4efe4bcbd36/Dupuy Rustad- Trends in Armed Conflict 1946-2017 Conflict Trends 5-2018.pdf?inline=true","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","geography_discussed","analysis_type"],"summary":{"text":"The report finds that while the number of state-based armed conflicts and total casualties declined in 2017, non-state conflicts increased significantly. Syria remained the deadliest conflict, and the Islamic State (IS) was involved in 31% of all conflicts. The authors note a long-term general decline in warfare since the 1950s, though they warn that internationalized intrastate conflicts and religious extremism continue to pose major threats to global peace.","ai_generated":true,"unit":"prio-001340#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"State-based armed conflicts decreased slightly from 53 in 2016 to 49 in 2017, with 34 countries experiencing conflict in their territories. Only one conflict was a dispute between two countries: India and Pakistan over Kashmir.","ai_generated":true,"unit":"prio-001340#insight-1","date_modified":"2026-10-23"},{"text":"Conflict casualties saw a significant decline in 2017, with nearly 69,000 people killed as a direct consequence of state-based armed conflicts. This is a 22% decrease from 2016 and a 32% decrease from 2014, primarily driven by reduced violence in Syria.","ai_generated":true,"unit":"prio-001340#insight-2","date_modified":"2026-10-23"},{"text":"Syria remained the deadliest conflict globally in 2017, accounting for 29% of the world's conflict-related deaths, although this was the lowest fatality count for the country since 2011.","ai_generated":true,"unit":"prio-001340#insight-3","date_modified":"2026-10-23"},{"text":"Non-state conflicts increased dramatically from 62 in 2016 to 82 in 2017, with deaths rising from nearly 10,000 to 13,662. The most lethal non-state conflicts occurred in Syria and the Central African Republic.","ai_generated":true,"unit":"prio-001340#insight-4","date_modified":"2026-10-23"},{"text":"The Islamic State (IS) was a central driver of conflict in 2017, involved in 16 conflicts (31% of the total) across 15 countries. IS was also responsible for approximately 35% of all one-sided violence deaths in 2017.","ai_generated":true,"unit":"prio-001340#insight-5","date_modified":"2026-10-23"},{"text":"Intrastate conflicts are increasingly internationalized; in 2017, external states contributed troops to 19 of the 48 intrastate conflicts (40%). The United States was the most involved country, with troops in seven such conflicts involving Islamist extremist groups.","ai_generated":true,"unit":"prio-001340#insight-6","date_modified":"2026-10-23"},{"text":"Long-term trends since 1946 show a decline in colonial and interstate conflicts, with internal state conflicts becoming predominant. While there have been recent up-surges, the general pattern of battle casualties since the 1950s is one of decline.","ai_generated":true,"unit":"prio-001340#insight-7","date_modified":"2026-10-23"}],"climate_tags":[],"geography_discussed":["Syria","Iraq","Afghanistan","India","Pakistan","Central African Republic","United States","Mali","Libya","Somalia","Chad","Lebanon","Iran","Jordan","Cameroon","Tunisia","Bangladesh","Philippines","Mexico","Brazil","Democratic Republic of the Congo","Ukraine","Yemen","Myanmar","Venezuela","Middle East","Africa","Sahel region of Africa"],"frame_perspective":[],"analysis_type":["statistical analysis","trend analysis"]},{"id":"wwf-000543","url":"https://climateinsightsdirectory.org/document/wwf-000543","title":"Conservation and Adaptation in Asia’s High Mountain Landscapes and Communities","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"report","language":"en","date_published":"2018-02-28","source_url":"https://www.worldwildlife.org/documents/740/500k8e27el_WWF_2018_AHM_Final_Report_2018.02.28_Final.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The AHM Project implemented an integrated model of biodiversity conservation and climate adaptation across 10 demonstration sites in Bhutan, India, the Kyrgyz Republic, Mongolia, Nepal, and Pakistan. Key achievements include bringing 1.4 million hectares of land under improved management, training 26,966 people in conservation and adaptation, and supporting the 12-nation Global Snow Leopard and Ecosystem Protection (GSLEP) Program. The project focused on reducing threats like poaching and pasture degradation while addressing climate-driven risks to water security and rural livelihoods through interventions such as water-smart irrigation, predator-proof corrals, and alternative income generation.","ai_generated":true,"unit":"wwf-000543#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The AHM Project brought 1.4 million hectares of land under improved management across its high mountain demonstration sites.","ai_generated":true,"unit":"wwf-000543#insight-1","date_modified":"2026-10-23"},{"text":"The project provided conservation awareness and climate adaptation training to 26,966 people, totaling 146,078 person-hours over five years.","ai_generated":true,"unit":"wwf-000543#insight-2","date_modified":"2026-10-23"},{"text":"The project supported the establishment of 421,721 hectares of local and national-level protected areas in Mongolia and the Kyrgyz Republic to improve grassland health and protect snow leopard prey species like ibex and blue sheep.","ai_generated":true,"unit":"wwf-000543#insight-3","date_modified":"2026-10-23"},{"text":"The AHM Project provided technical and financial support to the Global Snow Leopard and Ecosystem Protection (GSLEP) Program, contributing to the development of management plans for 23 Priority Landscapes covering 60,360,000 hectares.","ai_generated":true,"unit":"wwf-000543#insight-4","date_modified":"2026-10-23"},{"text":"In Nepal, the project conducted the first GPS tracking collar study of snow leopards in the Eastern Himalayas, collaring four individuals and documenting transboundary movements between Nepal, India, and China.","ai_generated":true,"unit":"wwf-000543#insight-5","date_modified":"2026-10-23"},{"text":"A TRAFFIC report supported by AHM estimated that between 221 and 450 snow leopards have been poached annually since 2008.","ai_generated":true,"unit":"wwf-000543#insight-6","date_modified":"2026-10-23"},{"text":"In Mongolia, a community-led campaign involving school children resulted in the voluntary exchange of 234 wildlife traps for household utensils in Mankhan and Chandmani Soums, contributing to a national ban on wildlife trapping.","ai_generated":true,"unit":"wwf-000543#insight-7","date_modified":"2026-10-23"},{"text":"The project implemented water security interventions across demonstration sites, including the adoption of water-smart technology by 2,141 households.","ai_generated":true,"unit":"wwf-000543#insight-8","date_modified":"2026-10-23"},{"text":"In the Kyrgyz Republic, the project successfully lobbied the government to expand the Sarychat-Ertash State Reserve from 72,080 hectares to 149,117 hectares and supported the creation of the 278,500 hectare Khan Tengri National Nature Park.","ai_generated":true,"unit":"wwf-000543#insight-9","date_modified":"2026-10-23"},{"text":"In Pakistan, the project established village wildlife guard programs in Hoper, Laspur, and Rumbur Valleys, which contributed to Hoper Valley achieving 'Zero Poaching' of snow leopards from 2014 to 2017.","ai_generated":true,"unit":"wwf-000543#insight-10","date_modified":"2026-10-23"},{"text":"Climate vulnerability assessments were conducted for five key landscapes: Nikka Chu and Kuri Chu River basins (Bhutan), North Sikkim District (India), Central Tian Shan Region (Kyrgyz Republic), Altai Region (Mongolia), and Hoper Valley (Pakistan).","ai_generated":true,"unit":"wwf-000543#insight-11","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","biodiversity conservation","water security","reforestation","ecotourism","glacier lake outburst flood"],"geography_discussed":["Afghanistan","People's Republic of China","Kazakhstan","Russia","Tajikistan","Uzbekistan"],"frame_perspective":[],"analysis_type":["project evaluation","impact assessment"]},{"id":"seforall-000120","url":"https://climateinsightsdirectory.org/document/seforall-000120","title":"ENERGIZING FINANCE: UNDERSTANDING THE LANDSCAPE 2018","publisher":{"name":"Sustainable Energy for All","organization":"sustainable-energy-for-all"},"document_type":"executive summary","language":"en","date_published":"2018","source_url":"https://www.seforall.org/system/files/gather-content/EF-2018-ES_SEforALL.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report finds that while electricity access finance in 20 high-impact countries increased to USD 30.2 billion per year in 2015-16, it remains far below the USD 52 billion needed annually for universal access by 2030. Investment is heavily skewed toward non-residential consumers and grid-connected technologies, including a doubling of fossil fuel investments to USD 8 billion. Clean cooking finance has decreased to USD 30 million per year, a fraction of the USD 4.4 billion required. Geographically, finance is concentrated in a few countries, with Sub-Saharan Africa falling further behind despite having the highest need.","ai_generated":true,"unit":"seforall-000120#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Overall electrification finance commitments in the 20 high-impact countries rose by 56%, increasing from USD 19.4 billion in 2013-14 to USD 30.2 billion in 2015-16. However, this total is significantly lower than the estimated USD 52 billion per year required to achieve universal electricity access by 2030.","ai_generated":true,"unit":"seforall-000120#insight-1","date_modified":"2026-10-23"},{"text":"Electricity finance is predominantly directed toward non-residential consumers, who receive 72% of the funds, while residential consumers receive only 28% (approximately USD 8.6 billion).","ai_generated":true,"unit":"seforall-000120#insight-2","date_modified":"2026-10-23"},{"text":"Investment in grid-connected fossil fuel plants doubled between the reporting periods, reaching USD 8 billion per year in 2015-16. Coal plants specifically saw investment grow from USD 2.8 billion in 2013-14 to USD 6.8 billion in 2015-16, with the Philippines, India, and Bangladesh being the top recipients.","ai_generated":true,"unit":"seforall-000120#insight-3","date_modified":"2026-10-23"},{"text":"Finance for off-grid solutions (OGS) nearly doubled from USD 210 million to USD 380 million per year between 2013-14 and 2015-16, yet it still represents only 1.3% of total tracked electricity finance.","ai_generated":true,"unit":"seforall-000120#insight-4","date_modified":"2026-10-23"},{"text":"There is a severe geographical imbalance in electricity finance; four countries (India, Bangladesh, Philippines, and Kenya) received 86% of annual commitments (USD 26 billion). Conversely, seven high-impact countries—Afghanistan, Angola, Ethiopia, Malawi, Mozambique, Nigeria, and Sudan—saw electricity finance decline by more than 50%.","ai_generated":true,"unit":"seforall-000120#insight-5","date_modified":"2026-10-23"},{"text":"Sub-Saharan Africa is falling further behind in energy access finance. While the IEA estimates that approximately USD 50 billion per year in additional electricity investment is needed in the region, it only received 17% (USD 5 billion) of total electricity finance in 2015-16, a decrease of USD 1 billion from 2013-14.","ai_generated":true,"unit":"seforall-000120#insight-6","date_modified":"2026-10-23"},{"text":"Finance for clean cooking decreased by 5%, falling from USD 32 million in 2013-14 to USD 30 million in 2015-16. This is far below the USD 4.4 billion annual investment needed by 2030. Most of this funding (92%) comes from international sources, with 72% (USD 22 million) going to Sub-Saharan African countries, primarily Ethiopia and Kenya.","ai_generated":true,"unit":"seforall-000120#insight-7","date_modified":"2026-10-23"},{"text":"India and Indonesia serve as case studies demonstrating the impact of domestic public budgets. In India, private domestic investment grew from USD 1.6 billion in 2013-14 to USD 10 billion in 2015-16. In Indonesia, the government spent an annual average of USD 1.8 billion on subsidies to support LPG use between 2015 and 2016.","ai_generated":true,"unit":"seforall-000120#insight-8","date_modified":"2026-10-23"}],"climate_tags":["electrification","clean cooking","renewable energy","photovoltaics","wind power","coal","fossil fuel","Mini-grids","climate finance","energy efficiency"],"geography_discussed":["India","Indonesia","sub-Saharan Africa","Kenya","People's Republic of China","Ethiopia","Nigeria","Tanzania","Afghanistan","Angola","Malawi","Mozambique","Sudan"],"frame_perspective":[],"analysis_type":["financial analysis","trend analysis","case study"]}]}