{"query_echo":{"q":"","filters":{"analysis_type":["index construction"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'index construction' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=index+construction","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"clipolin-001330","url":"https://climateinsightsdirectory.org/document/clipolin-001330","title":"An Assessment of India’s Energy Choices","publisher":{"name":"Climate Policy Initiative","organization":"climate-policy-initiative"},"document_type":"report","language":"en","date_published":"2018-05","source_url":"https://www.climatepolicyinitiative.org/wp-content/uploads/2018/05/What-it-Means-for-the-Economy-Jobs-and-Energy-Security_Technical-Report-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The report analyzes the relationship between renewable energy (RE) and macroeconomic factors in India, finding that RE growth is positively associated with GDP, interest rates (call rates), and remunerative tariffs, while negatively correlated with fiscal deficits, energy imports, and unemployment. Using an ARDL model, the authors project three scenarios (business as usual, optimistic, and pessimistic) for RE capacity through 2042. They conclude that India's target of 175 GW by 2022 is overly ambitious and likely to be achieved between 2027 and 2033. The report also estimates that an optimistic scenario could add up to 4.52 million jobs by 2042 and improve India's Energy Security Index (ESI) from 0.41 to 0.58.","ai_generated":true,"unit":"clipolin-001330#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Renewable energy (RE) penetration in India is positively associated with GDP, call rates, and RE-to-fossil fuel tariffs, while it is negatively associated with fiscal deficits, net energy imports, population, population energy access, and unemployment.","ai_generated":true,"unit":"clipolin-001330#insight-1","date_modified":"2026-10-23"},{"text":"The Government of India's target of 175 GW of renewable energy by 2022 is unlikely to be met on time; the report projects achievement in 2027-28 (optimistic), 2029-30 (business as usual), or 2032-33 (pessimistic).","ai_generated":true,"unit":"clipolin-001330#insight-2","date_modified":"2026-10-23"},{"text":"Under an optimistic scenario, India's renewable energy capacity could reach 615 GW by 2042, with energy generation reaching 115.83 MTOE.","ai_generated":true,"unit":"clipolin-001330#insight-3","date_modified":"2026-10-23"},{"text":"Renewable energy expansion has significant job creation potential, with cumulative employment reaching 4.52 million by 2042 under the optimistic scenario, 3.985 million under business as usual, and 2.054 million under the pessimistic scenario.","ai_generated":true,"unit":"clipolin-001330#insight-4","date_modified":"2026-10-23"},{"text":"India's Energy Security Index (ESI), which currently stands at 0.41, is projected to rise across all scenarios, reaching a moderate value of 0.58 by 2042 in the optimistic scenario.","ai_generated":true,"unit":"clipolin-001330#insight-5","date_modified":"2026-10-23"},{"text":"Higher interest rates (call rates) are found to be pro-cyclical with RE generation, suggesting that the higher return on capital investment outweighs the increased cost of capital at a macro level.","ai_generated":true,"unit":"clipolin-001330#insight-6","date_modified":"2026-10-23"},{"text":"Increased renewable energy generation is correlated with a decrease in the fiscal deficit, as RE penetration reduces the share of fossil energy generation and the associated financial support or subsidies.","ai_generated":true,"unit":"clipolin-001330#insight-7","date_modified":"2026-10-23"},{"text":"The report identifies several barriers to RE growth in India, including a shift from feed-in-tariffs to auction-based purchases, inadequate grid infrastructure, evacuation constraints, and payment delays by distribution companies (DISCOMS).","ai_generated":true,"unit":"clipolin-001330#insight-8","date_modified":"2026-10-23"}],"climate_tags":["renewable energy","solar energy","wind power","bioenergy","energy security","climate finance","employment","energy infrastructure","feed-in tariff","energy access"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["macro-econometric time series analysis","scenario forecasting","index construction"]},{"id":"sei-000296","url":"https://climateinsightsdirectory.org/document/sei-000296","title":"Transnational Climate Impacts Index","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2016-06-28","source_url":"https://www.sei.org/publications/transnational-climate-impacts-index/","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The paper presents the Transnational Climate Impacts Index, a tool designed to shift the perspective of climate adaptation from a purely local or regional focus to an international one. It identifies nine specific indicators to measure how globalized economies and interconnections expose countries to climate impacts originating elsewhere.","ai_generated":true,"unit":"sei-000296#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The authors argue that while climate mitigation is seen as a global issue, impacts and adaptation are often incorrectly viewed as only regional or local, ignoring the interconnections of a globalized economy.","ai_generated":true,"unit":"sei-000296#insight-1","date_modified":"2026-10-23"},{"text":"The paper establishes a framework to quantify country-level exposure to transnational climate impacts using nine distinct indicators and a composite Transnational Climate Impacts Index.","ai_generated":true,"unit":"sei-000296#insight-2","date_modified":"2026-10-23"},{"text":"The framework utilizes nine specific indicators to measure exposure: Transboundary water dependency ratio, Bilateral climate-weighted foreign direct investment, Remittance flows, Openness to asylum, Migration from climate vulnerable countries, Trade openness, Cereal import dependency ratio, Embedded water risk, and the KOF Globalization Index.","ai_generated":true,"unit":"sei-000296#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate migration"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["framework development","index construction"]},{"id":"saiia-001923","url":"https://climateinsightsdirectory.org/document/saiia-001923","title":"Building Macroeconomic Resilience Through Counter-Cyclical Policy in Sub-Saharan Africa","publisher":{"name":"South African Institute of International Affairs","organization":"south-african-institute-of-international-affairs"},"document_type":"report","language":"en","date_published":null,"source_url":"https://saiia.org.za/wp-content/uploads/2024/02/SAIIA_CoMPRA-PI_26_.BuildingMacroeconomicResiliencepdf-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines macroeconomic resilience in 12 sub-Saharan African countries, focusing on the use of monetary and fiscal instruments to stabilise production and inflation cycles. It identifies commodity price downcycles as the most consistent trigger for economic crises and argues that currency regimes significantly influence a nation's ability to absorb shocks. The author develops the CoMPRA-MERI index to track resilience across seven dimensions: fiscal, monetary, external debt, trade, investment, governance, and human capital. Findings suggest that most countries exhibit procyclical outcomes due to structural constraints, though Uganda is noted as a successful exception in applying countercyclical tools. The report recommends trade diversification and a shift toward more flexible exchange rate regimes to enhance structural resilience.","ai_generated":true,"unit":"saiia-001923#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Commodity price downcycles are the most frequent trigger for socio-economic crises or GDP growth decelerations across the studied cohort, particularly for countries dependent on single exports like Nigeria (oil), Botswana (diamonds), and Mali (gold).","ai_generated":true,"unit":"saiia-001923#insight-1","date_modified":"2026-10-23"},{"text":"Currency regimes significantly impact growth and stability; members of the West African Economic and Monetary Union (WAEMU) with a fixed peg to the euro experienced suppressed per capita GDP growth compared to the rest of the cohort, as the structurally over-valued currency incentivises imports over domestic production.","ai_generated":true,"unit":"saiia-001923#insight-2","date_modified":"2026-10-23"},{"text":"Most countries in the cohort experience procyclical fiscal and monetary outcomes, meaning they lack the capacity or willingness to resist market forces or use tools to counter the business cycle. Uganda is identified as the only country that successfully uses both monetary and fiscal tools countercyclically.","ai_generated":true,"unit":"saiia-001923#insight-3","date_modified":"2026-10-23"},{"text":"There is a general lack of coincidence between production and inflation cycles over the short term across the cohort, which complicates the sequencing of policy measures intended to achieve internal macroeconomic balance.","ai_generated":true,"unit":"saiia-001923#insight-4","date_modified":"2026-10-23"},{"text":"External debt accumulation generally acts as a net drag on GDP growth, with a positive correlation between external debt resilience and GDP growth found in eight of the 12 countries.","ai_generated":true,"unit":"saiia-001923#insight-5","date_modified":"2026-10-23"},{"text":"Governance is a critical driver of resilience, with positive correlations to GDP growth in 10 of the 12 countries in the short term, as it influences investor confidence and policy consistency.","ai_generated":true,"unit":"saiia-001923#insight-6","date_modified":"2026-10-23"},{"text":"While all 12 countries show a structural trend of building generational resilience through human capital formation, in countries with decelerating growth (Nigeria, South Africa, Uganda, and Rwanda), this is negatively correlated with GDP growth, suggesting social spending may contribute to fiscal drag via debt accumulation.","ai_generated":true,"unit":"saiia-001923#insight-7","date_modified":"2026-10-23"}],"climate_tags":["fiscal policy","governance"],"geography_discussed":["Nigeria","South Africa","Tanzania","Uganda","Senegal","Benin","Ghana","Botswana","Kenya","Rwanda","Mali","Togo"],"frame_perspective":[],"analysis_type":["comparative analysis","correlation analysis","index construction","longitudinal study"]},{"id":"saiia-001925","url":"https://climateinsightsdirectory.org/document/saiia-001925","title":"COVID-19 and Socioeconomic Vulnerability","publisher":{"name":"South African Institute of International Affairs","organization":"south-african-institute-of-international-affairs"},"document_type":"research paper","language":"en","date_published":null,"source_url":"https://saiia.org.za/wp-content/uploads/2024/01/SAIIA_CoMPRA_PI_22_COVID-19Socioeconomic.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research introduces a multidimensional index to measure socioeconomic vulnerability to COVID-19, incorporating macroeconomic exposure, healthcare coverage, financial inclusion, social protection, and gender inclusivity. Using data from 83 countries, the study finds that African nations are among the most vulnerable, with gender inequality acting as a primary driver. Regression analysis confirms that higher vulnerability scores and more stringent containment measures were associated with more significant per capita income losses in 2020. The author argues that pandemic response strategies must move away from 'one-size-fits-all' containment measures and instead prioritize gender inclusion, social protection, and financial inclusion to build resilience.","ai_generated":true,"unit":"saiia-001925#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The study created a socioeconomic vulnerability index based on five dimensions: macroeconomic exposure, healthcare coverage, financial inclusion, social protection, and gender inclusivity. In the weighting of this index, gender inclusivity was the most significant factor at 25.71%, followed by financial inclusion (25.2%) and social protection (24.26%).","ai_generated":true,"unit":"saiia-001925#insight-1","date_modified":"2026-10-23"},{"text":"African countries exhibit high levels of socioeconomic vulnerability to COVID-19, with all 17 sub-Saharan African countries in the sample scoring above the world average of 0.426. Kenya was the least vulnerable in this group with a score of 0.471.","ai_generated":true,"unit":"saiia-001925#insight-2","date_modified":"2026-10-23"},{"text":"There is a strong correlation between high vulnerability scores and adverse economic outcomes. Regression analysis shows that high vulnerability and the stringency of containment measures were both associated with more drastic drops in per capita income during 2020.","ai_generated":true,"unit":"saiia-001925#insight-3","date_modified":"2026-10-23"},{"text":"Gender inequality is a major driver of vulnerability in Africa. The 2019 African Gender Index estimated that women in Africa are only 51.4% as equal as men, with a particularly large gap in economic empowerment, where they are only 38.3% as equal as men.","ai_generated":true,"unit":"saiia-001925#insight-4","date_modified":"2026-10-23"},{"text":"Comparing specific African economies, Nigeria showed higher socioeconomic vulnerability than South Africa, which correlated with Nigeria having the lowest gender equality score among the six case study countries.","ai_generated":true,"unit":"saiia-001925#insight-5","date_modified":"2026-10-23"},{"text":"The pandemic exacerbated global poverty and food insecurity, with extreme poverty increasing for the first time in 20 years. In Africa, the number of extremely poor people reached approximately 500 million in 2020, and the number of undernourished people reached 250 million.","ai_generated":true,"unit":"saiia-001925#insight-6","date_modified":"2026-10-23"}],"climate_tags":["social protection","food insecurity"],"geography_discussed":["South Africa","Nigeria","Tanzania","Uganda","Senegal","Benin","Norway","Iraq","Kenya"],"frame_perspective":[],"analysis_type":["index construction","regression analysis","comparative case study"]}]}