{"query_echo":{"q":"","filters":{"geography":["Odisha"]},"warnings":[]},"total":{"value":83,"relation":"eq"},"page":3,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Odisha&page=3","next":"https://climateinsightsdirectory.org/api/v1/search?geography=Odisha&page=4","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":"iisd-002195","url":"https://climateinsightsdirectory.org/document/iisd-002195","title":"How to Target Electricity and LPG Subsidies in India","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2019-12","source_url":"https://www.iisd.org/system/files/publications/target-electricity-lpg-subsidies-india-step-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the high cost and regressive nature of India's energy consumption subsidies, which totaled INR 87,830 crore (USD 13.1 billion) in 2017. It highlights a critical knowledge gap, as the last comprehensive distributional analysis is based on 2011 census data. The document proposes several targeting mechanisms, including opt-out schemes, volumetric quotas, categorical targeting based on social or geographic criteria, and the use of proxy means testing via income and asset data. It specifically analyzes the Ujjwala scheme's success in connection targeting and the challenges of sustained LPG usage among the poor due to ongoing consumption costs.","ai_generated":true,"unit":"iisd-002195#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"In 2017, India's electricity and LPG consumption subsidies cost INR 87,830 crore (USD 13.1 billion).","ai_generated":true,"unit":"iisd-002195#insight-1","date_modified":"2026-10-23"},{"text":"Electricity consumption subsidies are the largest energy subsidies in India, representing 49 per cent of all quantifiable central government energy subsidies in FY 2017/18, totaling INR 74,925 crore (USD 11.2 billion).","ai_generated":true,"unit":"iisd-002195#insight-2","date_modified":"2026-10-23"},{"text":"Historical data from 2010 indicates that electricity subsidies in India were regressive, with the poorest quintile receiving only 14 per cent of the benefits.","ai_generated":true,"unit":"iisd-002195#insight-3","date_modified":"2026-10-23"},{"text":"The PAHAL cash transfer scheme is the largest single petroleum product subsidy in India, estimated at INR 12,905 crore (USD 1.9 billion) in FY 2017/18.","ai_generated":true,"unit":"iisd-002195#insight-4","date_modified":"2026-10-23"},{"text":"The Ujjwala scheme has been relatively successful in targeting the poorest for LPG connections, with 48 per cent of beneficiaries falling within the poorest 40 per cent of households based on self-reported income in Jharkhand and Chhattisgarh.","ai_generated":true,"unit":"iisd-002195#insight-5","date_modified":"2026-10-23"},{"text":"Despite LPG ownership, fuel stacking remains prevalent; in a 2018 survey of rural households in Bihar, Madhya Pradesh, Rajasthan and Uttar Pradesh, 73 per cent of those with LPG stoves still used traditional chulha stoves for some or all cooking.","ai_generated":true,"unit":"iisd-002195#insight-6","date_modified":"2026-10-23"},{"text":"The 'Give It Up' opt-out campaign for LPG has had limited impact on targeting, with only around 5 per cent of active connections de-registering.","ai_generated":true,"unit":"iisd-002195#insight-7","date_modified":"2026-10-23"},{"text":"Income-based targeting for LPG, which excludes households with an annual income above INR 1 million, has restricted less than 1 per cent of active connections.","ai_generated":true,"unit":"iisd-002195#insight-8","date_modified":"2026-10-23"},{"text":"There is a significant data gap in India's energy policy, as the last comprehensive distributional analysis of energy consumption subsidies is based on the 2011 census.","ai_generated":true,"unit":"iisd-002195#insight-9","date_modified":"2026-10-23"},{"text":"The report suggests that volumetric targeting for LPG could be improved by reducing the current annual quota of 12 cylinders, noting that the median purchase for Ujjwala households is five cylinders per year.","ai_generated":true,"unit":"iisd-002195#insight-10","date_modified":"2026-10-23"}],"climate_tags":["energy access","clean cooking","fossil fuel subsidy","social protection","energy transition","energy efficiency","poverty reduction"],"geography_discussed":["Jharkhand","Chhattisgarh","Odisha","Andhra Pradesh","West Bengal","Delhi","Mizoram","Nagaland","Thailand","Indonesia"],"frame_perspective":[],"analysis_type":["policy review","distributional analysis","fiscal assessment"]},{"id":"iisd-001638","url":"https://climateinsightsdirectory.org/document/iisd-001638","title":"Policy Approaches for a Kerosene to Solar Subsidy Swap in India","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2019-04","source_url":"https://www.iisd.org/system/files/publications/india-kerosene-solar-swap.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that shifting subsidies from kerosene to off-grid solar is economically viable and socially beneficial for India's rural poor. It details three primary subsidy pathways—targeting households, manufacturers, or financial institutions—and provides a framework for administration, funding, and beneficiary targeting to achieve '24x7 Power for All'.","ai_generated":true,"unit":"iisd-001638#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Off-grid solar products are more cost-effective than subsidized kerosene over their lifespan. For example, a solar lantern has a levelized monthly cost of INR 54, compared to a total cost of INR 183 for subsidized kerosene (including household expenditure and government subsidy), resulting in a net swap saving of INR 129 per month per household.","ai_generated":true,"unit":"iisd-001638#insight-1","date_modified":"2026-10-23"},{"text":"Despite near-universal grid connection, significant gaps in electricity access persist. A survey found that 86 per cent of grid-connected households use another source of electricity or lighting, and in some village surveys, the majority of connected households received only one to five hours of electricity per day.","ai_generated":true,"unit":"iisd-001638#insight-2","date_modified":"2026-10-23"},{"text":"Continued reliance on kerosene poses health and fiscal risks. Kerosene produces pollutants exceeding World Health Organization guidelines and is subject to volatile international oil prices; in FY 2018/19, central government spending on cooking gas and kerosene subsidies was 84 per cent higher than budget estimates.","ai_generated":true,"unit":"iisd-001638#insight-3","date_modified":"2026-10-23"},{"text":"There is strong consumer demand for the transition. The ACCESS survey indicated that 84 per cent of households support government subsidies for solar lanterns even if it means reducing kerosene subsidies.","ai_generated":true,"unit":"iisd-001638#insight-4","date_modified":"2026-10-23"},{"text":"Kerosene subsidies are prone to significant leakage, with an estimated 45 per cent of subsidized kerosene diverted to the black market for use in transport or irrigation.","ai_generated":true,"unit":"iisd-001638#insight-5","date_modified":"2026-10-23"},{"text":"The report identifies three viable subsidy pathways: direct payments to households (maximizing choice), subsidies to manufacturers (reducing administrative costs and ensuring quality), or subsidies to banks and microfinance institutions (improving affordability of loans).","ai_generated":true,"unit":"iisd-001638#insight-6","date_modified":"2026-10-23"},{"text":"A subsidy swap would support India's climate and energy goals, specifically its target of 175 GW of renewable energy by 2022. Kerosene accounted for approximately one quarter of all energy-related residential greenhouse gas emissions in 2013.","ai_generated":true,"unit":"iisd-001638#insight-7","date_modified":"2026-10-23"}],"climate_tags":["energy transition","greenhouse gas emissions","household air pollution","energy access","climate finance"],"geography_discussed":["Odisha","Uttar Pradesh","Madhya Pradesh","Assam","Rajasthan","Tripura","Karnataka","Telangana","Haryana","Gujarat","Jharkhand","Chhattisgarh","Bihar"],"frame_perspective":[],"analysis_type":["policy analysis","economic assessment","case study"]},{"id":"iisd-003094","url":"https://climateinsightsdirectory.org/document/iisd-003094","title":"India’s Energy Transition: Stranded coal power assets, workers and energy subsidies","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"briefing","language":"en","date_published":"2019-04","source_url":"https://www.iisd.org/system/files/publications/india-energy-transition-stranded-coal-power-assets_0.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document examines the crisis of 'stressed' coal power assets in India, where approximately 21% of operational capacity was identified as non-performing in 2018. It identifies current drivers of stranding, such as the financial distress of distribution companies (DISCOMs) and coal shortages, alongside future risks including water scarcity, air pollution regulations, and the increasing cost-competitiveness of renewable energy. The authors argue that government subsidies and preferential financing have artificially dampened market signals, prolonging the life of unviable assets. Finally, the brief advocates for a 'just transition' framework to prevent the burden of asset stranding from falling on the millions of workers in the coal value chain, particularly in states like Jharkhand, Odisha, and Chhattisgarh.","ai_generated":true,"unit":"iisd-003094#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"As of 2018, approximately 21% of India's total operational coal capacity—consisting of 34 plants with a combined capacity of 40 GW—was identified as 'stressed' or 'non-performing'. Some estimates suggest the affected capacity could be as high as 75 GW, or 39.5% of operational capacity.","ai_generated":true,"unit":"iisd-003094#insight-1","date_modified":"2026-10-23"},{"text":"The stranding crisis is heavily concentrated in the states of Chhattisgarh, Odisha, and Jharkhand, where 58%, 55%, and 27% of state capacity was categorized as stressed, respectively. These three states account for 22% of all operational coal power plants in India.","ai_generated":true,"unit":"iisd-003094#insight-2","date_modified":"2026-10-23"},{"text":"The vast majority of stressed coal assets are privately owned, representing 88% of stressed capacity, while central government institutions operate the remaining 12%.","ai_generated":true,"unit":"iisd-003094#insight-3","date_modified":"2026-10-23"},{"text":"Current drivers of asset stranding include the financial inability of state-owned distribution companies (DISCOMs) to pay generation companies and systemic coal shortages. Only about one quarter of currently stressed assets had an assured supply of coal via fuel supply arrangements (FSAs).","ai_generated":true,"unit":"iisd-003094#insight-4","date_modified":"2026-10-23"},{"text":"Future financial pressures on coal power will likely be driven by water scarcity, air pollution regulations, and the cost-competitiveness of renewables. By 2050, all six major water basins supplying Chhattisgarh, Jharkhand, and Odisha are expected to be stressed, with some reaching 'absolute scarcity'.","ai_generated":true,"unit":"iisd-003094#insight-5","date_modified":"2026-10-23"},{"text":"Government interventions, including subsidies estimated at INR 13,850 crore (USD 2.15 billion) in FY 2018, preferential loan rates, and the delay of air pollution regulations, have masked financial stress and prolonged the life of unviable assets.","ai_generated":true,"unit":"iisd-003094#insight-6","date_modified":"2026-10-23"},{"text":"New air pollution regulations, such as those from the Central Pollution Control Board, may require retrofits with an estimated total capital cost of around INR 75,000 crore (USD 11.6 billion).","ai_generated":true,"unit":"iisd-003094#insight-7","date_modified":"2026-10-23"},{"text":"The transition away from coal poses significant risks to employment. There are an estimated 1.2 million workers in the coal mining industry, and coal accounts for approximately 30% of India's rail network revenue, which employs 1.3 million people.","ai_generated":true,"unit":"iisd-003094#insight-8","date_modified":"2026-10-23"},{"text":"While the renewable energy sector is creating jobs—with 432,000 direct jobs in 2017—these are not geographically aligned with coal jobs. Most coal reserves are in central states (Jharkhand, Odisha, Chhattisgarh, West Bengal, Madhya Pradesh, and Andhra Pradesh), while renewables are concentrated in South, West, and North Indian states.","ai_generated":true,"unit":"iisd-003094#insight-9","date_modified":"2026-10-23"},{"text":"The document recommends implementing 'just transition' policies, such as voluntary retirement schemes, retraining, and cash transfers, potentially funded by the existing cess on coal intended to account for GHG emissions.","ai_generated":true,"unit":"iisd-003094#insight-10","date_modified":"2026-10-23"}],"climate_tags":["coal power","stranded asset","energy subsidy","just transition","renewable energy","air pollution","water scarcity","greenhouse gas emissions","carbon price"],"geography_discussed":["Chhattisgarh","Odisha","Jharkhand","West Bengal","Madhya Pradesh","Andhra Pradesh","Karnataka","Tamil Nadu","Maharashtra","Gujarat","Rajasthan"],"frame_perspective":[],"analysis_type":["policy analysis","economic assessment","social impact assessment"]},{"id":"iisd-000346","url":"https://climateinsightsdirectory.org/document/iisd-000346","title":"Kerosene to Solar PV Subsidy Swap: The business case for redirecting subsidy expenditure from kerosene to off-grid solar","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2018-07-18","source_url":"https://www.iisd.org/publications/report/kerosene-solar-pv-subsidy-swap-business-case-redirecting-subsidy-expenditure","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document proposes redirecting government expenditure from kerosene subsidies to off-grid solar PV products to support India's goal of universal household electrification. It argues that kerosene subsidies are inefficient and cause negative health impacts, while solar power offers a reliable replacement. The paper evaluates available pico solar PV products, existing business models, and the suitability of Uttar Pradesh and Odisha for pilot studies to assess the impact of reducing kerosene consumption in favor of solar energy.","ai_generated":true,"unit":"iisd-000346#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Kerosene subsidies in India are considered inefficient due to the ease of illegal fuel diversion in the distribution system and are associated with household pollution and negative health impacts.","ai_generated":true,"unit":"iisd-000346#insight-1","date_modified":"2026-10-23"},{"text":"The Government of India has attempted to lower kerosene subsidy spending by restricting the volume of subsidized fuel and increasing prices, creating an opportunity to reinvest those savings into off-grid solar technologies for vulnerable households.","ai_generated":true,"unit":"iisd-000346#insight-2","date_modified":"2026-10-23"},{"text":"The paper identifies Uttar Pradesh and Odisha as potential locations for pilot studies to measure the real-world effects of increasing solar adoption and decreasing kerosene use.","ai_generated":true,"unit":"iisd-000346#insight-3","date_modified":"2026-10-23"}],"climate_tags":["energy transition"],"geography_discussed":["Uttar Pradesh","Odisha"],"frame_perspective":[],"analysis_type":["policy analysis","business case"]},{"id":"iisd-001726","url":"https://climateinsightsdirectory.org/document/iisd-001726","title":"Kerosene to Solar PV Subsidy Swap","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"executive summary","language":"en","date_published":"2018-07","source_url":"https://www.iisd.org/system/files/publications/kerosene-solar-subsidy-swap-executive-summary.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that India can accelerate universal household electrification by redirecting kerosene subsidies toward pico solar PV products. It identifies a surfeit of market-ready, certified solar lanterns that can replace kerosene lamps at a lower or equal cost. Analysis of Uttar Pradesh and Odisha suggests that while Odisha presents a strong market scenario due to high kerosene dependence, challenges include the use of kerosene for cooking and government opposition to quota reductions. In Uttar Pradesh, the report notes that kerosene subsidies are often poorly targeted, with fuel being diverted for transport.","ai_generated":true,"unit":"iisd-001726#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Government expenditures on kerosene subsidies are significant enough to fund the full capital cost of either 350 million entry-level solar lanterns over 1.5 years or 97 million mid-level solar lanterns over two years.","ai_generated":true,"unit":"iisd-001726#insight-1","date_modified":"2026-10-23"},{"text":"There is a wide availability of market-ready pico PV products capable of replacing kerosene lamps; the study identified nearly 200 products, with 15 meeting specific price, quality, and performance criteria to be affordable and reliable replacements.","ai_generated":true,"unit":"iisd-001726#insight-2","date_modified":"2026-10-23"},{"text":"In Odisha, the high proportion of unelectrified households and their dependence on kerosene create a favorable market for pico PV products, and the existing Public Distribution System (PDS) could be used to facilitate the transition.","ai_generated":true,"unit":"iisd-001726#insight-3","date_modified":"2026-10-23"},{"text":"A subsidy swap in Odisha is complicated by the fact that kerosene is used for both lighting and cooking, and the solar PV solution only addresses lighting. Additionally, the state government opposes reductions in kerosene quotas.","ai_generated":true,"unit":"iisd-001726#insight-4","date_modified":"2026-10-23"},{"text":"Consultations in the Bijnor district of western Uttar Pradesh revealed that kerosene subsidies are poorly targeted, as the fuel is frequently used for transport rather than lighting or cooking.","ai_generated":true,"unit":"iisd-001726#insight-5","date_modified":"2026-10-23"}],"climate_tags":["fossil fuel subsidy","clean cooking"],"geography_discussed":["Uttar Pradesh","Odisha","Bijnor district","People's Republic of China"],"frame_perspective":[],"analysis_type":["policy analysis","market assessment","feasibility study"]},{"id":"iisd-003195","url":"https://climateinsightsdirectory.org/document/iisd-003195","title":"Kerosene to Solar PV Subsidy Swap","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2018-07","source_url":"https://www.iisd.org/system/files/publications/kerosene-solar-subsidy-swap.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that redirecting kerosene subsidies toward pico PV solar products can provide a cleaner, cost-effective lighting alternative for marginalized Indian households. It identifies a robust market of internationally verified products and diverse B2C business models, particularly those leveraging microfinance institutions (MFIs). While the swap is technically feasible, the report notes challenges such as the use of kerosene for cooking in Odisha and the prevalence of substandard, unverified products in Uttar Pradesh.","ai_generated":true,"unit":"iisd-003195#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Government expenditures on kerosene subsidies are estimated to be sufficient to fund the full capital cost of either 350 million entry-level solar lanterns over 1.5 years or 97 million mid-level solar lanterns over two years.","ai_generated":true,"unit":"iisd-003195#insight-1","date_modified":"2026-10-23"},{"text":"The Indian pico PV market is segmented by quality: internationally verified products (adhering to Lighting Global/IEC standards), Indian-verified products (following MNRE specifications), and unverified products. Internationally verified products are estimated to hold at least 25% of the total market share.","ai_generated":true,"unit":"iisd-003195#insight-2","date_modified":"2026-10-23"},{"text":"Microfinance institutions (MFIs) are the dominant distribution channel for quality pico PV products, accounting for an estimated 75% of the total sales portfolio for leading internationally verified brands.","ai_generated":true,"unit":"iisd-003195#insight-3","date_modified":"2026-10-23"},{"text":"In western Uttar Pradesh, the potential for a subsidy swap is limited because subsidized kerosene is primarily used as a motor fuel or cooking backup rather than for lighting, and many households use grid-connected backup systems.","ai_generated":true,"unit":"iisd-003195#insight-4","date_modified":"2026-10-23"},{"text":"Odisha is a highly suitable market for a subsidy swap due to high rates of unelectrified households and a strong MFI network, although the fact that households use kerosene for both lighting and cooking complicates the transition.","ai_generated":true,"unit":"iisd-003195#insight-5","date_modified":"2026-10-23"},{"text":"The Pay-As-You-Go (PAYG) model is in its infancy in India, hindered by a lack of consumer confidence in mobile technology, regulatory uncertainty, and low rural consumer appetite for digital payment platforms.","ai_generated":true,"unit":"iisd-003195#insight-6","date_modified":"2026-10-23"},{"text":"Market spoilage is a significant challenge, particularly in Uttar Pradesh and Bihar, where cheap, unverified, and substandard imported products lead to poor consumer experiences and mistrust in solar technology.","ai_generated":true,"unit":"iisd-003195#insight-7","date_modified":"2026-10-23"}],"climate_tags":["energy access","microfinance","renewable energy policy"],"geography_discussed":["People's Republic of China"],"frame_perspective":[],"analysis_type":["policy assessment","market analysis","feasibility study"]},{"id":"iisd-002808","url":"https://climateinsightsdirectory.org/document/iisd-002808","title":"Perceptions of Electricity Sector Reform in Uttar Pradesh","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2018-03","source_url":"https://www.iisd.org/system/files/publications/electricity-sector-reform-uttar-pradesh.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report analyzes the financial instability of electricity distribution companies (discoms) in Uttar Pradesh, where a significant revenue gap of INR 21,486 crores existed in FY16. It examines consumer attitudes toward tariff hikes, revealing that while most expect increases, there is strong opposition to them unless linked to service improvements. The report also evaluates the UDAY scheme, finding that while it has reduced interest costs through bond issuance, progress on key operational milestones like smart metering and feeder segregation has been limited. Recommendations include improving rural metering, implementing targeted compensation for vulnerable users, and enhancing communication strategies to build public support for cost-reflective tariffs.","ai_generated":true,"unit":"iisd-002808#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Electricity distribution companies (discoms) in Uttar Pradesh are financially unsustainable, with a revenue gap of INR 21,486 crores (USD 3.2 billion) in FY16.","ai_generated":true,"unit":"iisd-002808#insight-1","date_modified":"2026-10-23"},{"text":"Metering and billing efficiency are critically low in rural areas, with only 25% of rural households having a meter installed compared to 85% of urban households; consequently, less than 10% of the rural population pays for grid electricity based on meter readings.","ai_generated":true,"unit":"iisd-002808#insight-2","date_modified":"2026-10-23"},{"text":"There is a strong consensus among both rural and urban households (over 80%) that the government should provide free electricity to poor people, although there is no general sense of entitlement to free electricity for all consumers.","ai_generated":true,"unit":"iisd-002808#insight-3","date_modified":"2026-10-23"},{"text":"Industrial and commercial consumers strongly oppose the current cross-subsidy system, with 81% of industrial and 68% of commercial interviewees against paying higher tariffs to keep agriculture and household rates lower.","ai_generated":true,"unit":"iisd-002808#insight-4","date_modified":"2026-10-23"},{"text":"Most consumers across all groups expect electricity tariffs to increase over the next five years, and a majority of residential households prefer a one-time immediate increase over gradual monthly hikes.","ai_generated":true,"unit":"iisd-002808#insight-5","date_modified":"2026-10-23"},{"text":"The UDAY scheme has provided financial relief by saving the state INR 3,323 crore (USD 506 million) in interest costs through the issuance of bonds totaling INR 49,847 crores (USD 7.5 billion).","ai_generated":true,"unit":"iisd-002808#insight-6","date_modified":"2026-10-23"},{"text":"Progress on UDAY operational milestones in Uttar Pradesh has been limited; while feeder metering and LED distribution have seen success, there has been little to no progress in smart metering, feeder segregation, or consumer indexing.","ai_generated":true,"unit":"iisd-002808#insight-7","date_modified":"2026-10-23"},{"text":"Agricultural consumers using electric pumps are largely unaware of their subsidies, with only 7 out of 67 interviewed farmers knowing their tariffs were subsidized.","ai_generated":true,"unit":"iisd-002808#insight-8","date_modified":"2026-10-23"},{"text":"Industrial and commercial consumers report that absorbing the costs of tariff hikes is their only available coping mechanism due to locked-in production cycles and the lack of competitive open-market power options in the state.","ai_generated":true,"unit":"iisd-002808#insight-9","date_modified":"2026-10-23"}],"climate_tags":["energy subsidy","energy access","rooftop photovoltaic system","wide area synchronous grid","energy efficiency"],"geography_discussed":["India","Uttarakhand","Rajasthan","Karnataka","Odisha"],"frame_perspective":[],"analysis_type":["political economy analysis","interim evaluation","stakeholder mapping","consumer perception survey"]},{"id":"climstra-000155","url":"https://climateinsightsdirectory.org/document/climstra-000155","title":"Coal transition in India","publisher":{"name":"Climate Strategies","organization":"climate-strategies"},"document_type":"report","language":"en","date_published":"2018","source_url":"https://climatestrategies.org/wp-content/uploads/2019/08/Coaltransitions_finalreport_India_2018.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines India's coal dependency and the challenges of transitioning to a low-carbon economy. Using the AIM/Enduse model, it compares the Intended Nationally Determined Contribution (INDC) scenario with two 2°C pathways: a 'conventional' one relying on Carbon Capture Utilization and Storage (CCUS) and a 'sustainable' one shifting toward renewables, gas, and nuclear power. Key findings highlight the risk of significant stranded assets—including approximately 220 billion tonnes of unutilized coal reserves valued at USD 6.7 trillion—and the increasing vulnerability of coal power plants to water shortages, which already cause substantial generation losses. The report argues that while coal remains a mainstay until 2030, a managed phase-out is necessary to meet global climate targets, requiring synchronized actions in energy efficiency, renewable scaling, and the retirement of inefficient sub-critical plants.","ai_generated":true,"unit":"climstra-000155#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"India's current energy system is heavily dependent on coal, which provides 70% of its power generation and accounts for 65% of its CO2 emissions.","ai_generated":true,"unit":"climstra-000155#insight-1","date_modified":"2026-10-23"},{"text":"Under a 2°C sustainable scenario, coal in the power sector is phased out by 2038, replaced by natural gas, renewables, and nuclear power, leading to a 59% reduction in steam coal demand compared to the INDC scenario.","ai_generated":true,"unit":"climstra-000155#insight-2","date_modified":"2026-10-23"},{"text":"A significant volume of coal reserves is at risk of becoming stranded assets; approximately 220 billion tonnes may remain unutilized, with a notional value of roughly USD 6.7 trillion.","ai_generated":true,"unit":"climstra-000155#insight-3","date_modified":"2026-10-23"},{"text":"Approximately 100 GW of coal-based capacity added in the last decade is vulnerable to techno-economic-regulatory shocks, as roughly 70% of this capacity uses inefficient sub-critical PC technology.","ai_generated":true,"unit":"climstra-000155#insight-4","date_modified":"2026-10-23"},{"text":"Water scarcity is a critical risk for coal-fired power plants, with 45% of plants stranded during certain times of the year located in water-stressed regions; a one-day shutdown of a 1 GW plant results in revenue losses of approximately INR 4-10 Crores (USD 0.6-1.5 million).","ai_generated":true,"unit":"climstra-000155#insight-5","date_modified":"2026-10-23"},{"text":"Despite a 'zero-import' policy for thermal coal, India would still require at least 50 to 100 million tonnes of steam coal imports to satisfy demand from import-based power plants.","ai_generated":true,"unit":"climstra-000155#insight-6","date_modified":"2026-10-23"},{"text":"To achieve 2°C-compatible transitions, India must scale up renewables—targeting 175 GW of solar by 2030—and increase nuclear capacity to 30 GW by 2030 and 50 GW by 2050 in the sustainable scenario.","ai_generated":true,"unit":"climstra-000155#insight-7","date_modified":"2026-10-23"},{"text":"The 2°C conventional scenario relies heavily on the deployment of Carbon Capture Utilization and Storage (CCUS) in power and industry sectors to achieve a cumulative emission reduction of 6 Gt by 2050.","ai_generated":true,"unit":"climstra-000155#insight-8","date_modified":"2026-10-23"}],"climate_tags":["Coal phase-out","stranded asset","renewable energy","nuclear power","natural gas","energy efficiency","Nationally Determined Contributions","greenhouse gas emissions","carbon tax"],"geography_discussed":["Jharkhand","Odisha","Chhattisgarh","West Bengal","Madhya Pradesh","Telangana","Maharashtra","Indonesia","South Africa","Australia"],"frame_perspective":[],"analysis_type":["techno-economic modelling","scenario analysis","policy assessment"]},{"id":"cdkn-000900","url":"https://climateinsightsdirectory.org/document/cdkn-000900","title":"Heat action plans: Scaling up India’s ambition to protect the climate-vulnerable","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"guide","language":"en","date_published":"2017-11","source_url":"https://cdkn.org/sites/default/files/files/CDKN_Heatwave-Guide_FINAL-WEB.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details the implementation of South Asia's first Heat Action Plan in Ahmedabad, which has since influenced 17 cities and 11 Indian states. It outlines the multifaceted threats of heat waves—including health risks, economic productivity loss, and infrastructure damage—and provides a framework for preparedness through early warning systems, public awareness, medical capacity building, and long-term urban adaptation like 'cool roofs'. The guide emphasizes the roles of political will, inter-agency partnerships, and scientific evidence in successfully scaling these interventions.","ai_generated":true,"unit":"cdkn-000900#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Heat waves are a significant cause of mortality in India, ranking as the second most deadly disaster event after floods over the last decade, with 3,547 known deaths.","ai_generated":true,"unit":"cdkn-000900#insight-1","date_modified":"2026-10-23"},{"text":"The threat of extreme heat is amplified in urban environments by the 'urban heat-island effect', caused by a lack of vegetation, higher air pollution, and heat-absorbent building materials.","ai_generated":true,"unit":"cdkn-000900#insight-2","date_modified":"2026-10-23"},{"text":"Ahmedabad implemented South Asia's first Heat Action Plan in 2013 following research that revealed 1,344 excess deaths during a 2010 heat wave, a figure significantly higher than the 47 officially reported deaths.","ai_generated":true,"unit":"cdkn-000900#insight-3","date_modified":"2026-10-23"},{"text":"The Ahmedabad model has demonstrated effectiveness; during a major 2015 heat wave that caused 2,300 deaths across India, Ahmedabad reported fewer than 20 heat-related deaths.","ai_generated":true,"unit":"cdkn-000900#insight-4","date_modified":"2026-10-23"},{"text":"By June 2017, the heat action planning approach had scaled up to include 17 cities and 11 states in India, supported by the Indian Meteorological Department (IMD), which expanded five-day maximum temperature forecasts to over 300 cities.","ai_generated":true,"unit":"cdkn-000900#insight-5","date_modified":"2026-10-23"},{"text":"Heat Action Plans consist of four central components: early warning systems and inter-agency coordination, public awareness and community outreach, medical capacity building, and long-term adaptation measures to reduce the urban heat-island effect.","ai_generated":true,"unit":"cdkn-000900#insight-6","date_modified":"2026-10-23"},{"text":"A 'cool roofs' initiative in Ahmedabad's slums, which involved painting roofs with white reflective paint, surpassed its initial goal of 500 roofs to reach 3,000.","ai_generated":true,"unit":"cdkn-000900#insight-7","date_modified":"2026-10-23"}],"climate_tags":["heat wave","urban heat island","climate change adaptation","early warning system","public health","urban planning","climate change vulnerability","disaster risk reduction"],"geography_discussed":["Ahmedabad","Gujarat","Odisha","Telangana","Andhra Pradesh","Delhi","Pakistan","Karachi","Maharashtra","Rajasthan"],"frame_perspective":[],"analysis_type":["case study","policy guide"]},{"id":"iisd-001633","url":"https://climateinsightsdirectory.org/document/iisd-001633","title":"India Energy Subsidy","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"briefing","language":"en","date_published":"2017-10","source_url":"https://www.iisd.org/system/files/publications/india-energy-subsidy-briefing-note-october-2017.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Indian government is implementing a series of reforms to reduce its petroleum subsidy bill, including daily price revisions for petrol and diesel and the gradual elimination of LPG and kerosene subsidies by March 2018. Simultaneously, the government is expanding electricity access through the Saubhagya scheme and restructuring distribution company debt via UDAY. There is also a proposal to integrate petroleum products into the unified Goods and Services Tax (GST) mechanism to simplify the current dual-taxation system.","ai_generated":true,"unit":"iisd-001633#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Indian government intends to reduce its petroleum subsidy expenditure by more than 50% by 2019/20, projecting a decrease from INR 25,000 crore (USD 3,825 million) in 2017/18 to INR 10,000 crore (USD 1,530 million).","ai_generated":true,"unit":"iisd-001633#insight-1","date_modified":"2026-10-23"},{"text":"To align retail prices with international crude oil prices and increase transparency, India introduced a policy in June 2017 allowing for the daily revision of petrol and diesel retail prices, replacing the previous fortnightly setting by oil marketing companies.","ai_generated":true,"unit":"iisd-001633#insight-2","date_modified":"2026-10-23"},{"text":"The government is pursuing the elimination of subsidies for liquefied petroleum gas (LPG) and kerosene by March 2018 through gradual price increases. For LPG, this involves monthly price hikes of INR 4 per 14.2kg cylinder; for kerosene, monthly hikes of INR 0.5 per litre are used to bring prices closer to market rates and prevent diesel adulteration.","ai_generated":true,"unit":"iisd-001633#insight-3","date_modified":"2026-10-23"},{"text":"The Saubhagya (Pradhan Mantri Sahaj Bijli Har Ghar Yojana) scheme, with an allocation of INR 16,320 crore (USD 2.5 billion), aims to achieve universal household electrification by December 2018 by subsidizing last-mile connectivity equipment such as meters, wires, and transformers.","ai_generated":true,"unit":"iisd-001633#insight-4","date_modified":"2026-10-23"},{"text":"The Minister of Petroleum and Natural Gas has proposed moving petroleum products into the Goods and Services Tax (GST) mechanism to replace the current system where products are taxed twice: first by a central excise tax and then by a state-level value-added tax.","ai_generated":true,"unit":"iisd-001633#insight-5","date_modified":"2026-10-23"}],"climate_tags":["energy transition"],"geography_discussed":["Odisha","Maharashtra","Delhi"],"frame_perspective":[],"analysis_type":["policy analysis","fiscal assessment"]},{"id":"iisd-001020","url":"https://climateinsightsdirectory.org/document/iisd-001020","title":"A Solar Journey: Reaching the remotest villages","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"research paper","language":"en","date_published":"2017-03-15","source_url":"https://www.iisd.org/articles/policy-analysis/solar-journey-reaching-remotest-villages","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document reports on the deployment of solar energy in Sarda Village, Odisha, India, highlighting how the village's remote location in a dense forest hinders market linkages and the accessibility of electricity and basic services such as healthcare, education, and lighting.","ai_generated":true,"unit":"iisd-001020#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Sarda Village's remote location within a dense forest creates barriers to market linkages and complicates the provision of electricity and other essential services, including transportation, education, healthcare, cooking, and lighting.","ai_generated":true,"unit":"iisd-001020#insight-1","date_modified":"2026-10-23"}],"climate_tags":["solar energy","energy access","energy subsidy","clean energy"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study"]},{"id":"gclifun-005515","url":"https://climateinsightsdirectory.org/document/gclifun-005515","title":"Consideration of funding proposals – Addendum VIII Funding proposal package for FP045","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2017-03-14","source_url":"https://www.greenclimate.fund/sites/default/files/document/gcf-b16-07-add08.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The proposal outlines a project to enhance groundwater recharge in 10,000 community ponds using structural adaptation measures and the installation of 1,000 solar pumps for irrigation in Odisha, India. The project aims to benefit 5.2 million vulnerable people, particularly SC-ST communities and women, by improving water tables and food security. With a total investment of 166.297 million USD, the project requests 34.357 million USD in GCF grants, complemented by co-financing from the Government of Odisha and the World Bank. Key expected outcomes include the avoidance of 2,614 tonnes of CO2 per year and the stabilization of up to 1 million agricultural jobs over four years.","ai_generated":true,"unit":"gclifun-005515#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project targets 5.2 million vulnerable people in 15 priority districts of Odisha, including 1.5 million from SC-ST communities, with women making up 50.1% of the direct beneficiaries.","ai_generated":true,"unit":"gclifun-005515#insight-1","date_modified":"2026-10-23"},{"text":"The primary adaptation measure involves installing Ground Water Recharge Systems (GWRS) in 10,000 tanks to bypass low-permeable soil layers and establish connectivity with underlying aquifers.","ai_generated":true,"unit":"gclifun-005515#insight-2","date_modified":"2026-10-23"},{"text":"The project includes a mitigation co-benefit through the installation of 1,000 solar pumps, which is expected to save 3.27 million kWh of energy per year and avoid 2,614 tonnes of CO2 emissions annually.","ai_generated":true,"unit":"gclifun-005515#insight-3","date_modified":"2026-10-23"},{"text":"The total project financing is 166.297 million USD, with 34.357 million USD requested as a GCF grant and the remainder provided via the State Convergence fund, community contributions, and a 7.064 million USD loan from the World Bank (IBRD).","ai_generated":true,"unit":"gclifun-005515#insight-4","date_modified":"2026-10-23"},{"text":"Climate projections for Odisha indicate that temperatures may breach the 2°C barrier by the end of the 21st century, with the highest rises expected in north-western, western, and south-western regions.","ai_generated":true,"unit":"gclifun-005515#insight-5","date_modified":"2026-10-23"},{"text":"The project aims to stabilize approximately 1 million agricultural jobs over four years by reducing distress migration among the SC-ST and marginal worker populations.","ai_generated":true,"unit":"gclifun-005515#insight-6","date_modified":"2026-10-23"},{"text":"A single recharge unit is estimated to replenish 13 hectare meters of groundwater annually, potentially raising the water table by 4.17 meters within a 500-meter radius.","ai_generated":true,"unit":"gclifun-005515#insight-7","date_modified":"2026-10-23"},{"text":"The project will implement a three-level monitoring system involving Pani Panchayats, a satellite-based system via the Odisha Remote Sensing Application Centre (ORSAC), and a project monitoring cell.","ai_generated":true,"unit":"gclifun-005515#insight-8","date_modified":"2026-10-23"}],"climate_tags":["groundwater recharge","food security","water security","climate change adaptation"],"geography_discussed":["Bargarh district","Balangir district","Boudh district","Gajapati district","Kalahandi district","Kandhamal district","Kendujhar district","Koraput district","Malkangiri district","Mayurbhanj district","Nabarangpur district","Nuapada district","Rayagada district","Sambalpur district","Subarnapur district"],"frame_perspective":[],"analysis_type":["funding proposal","technical design","economic analysis","social impact assessment"]},{"id":"cdkn-000063","url":"https://climateinsightsdirectory.org/document/cdkn-000063","title":"How the people of India live with climate change and what communication can do","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2017-01-24","source_url":"https://cdkn.org/resource/report-people-india-live-climate-change-communication-can","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed"],"summary":{"text":"The report uses data from the Climate Asia study, which surveyed 33,500 people across seven Asian countries, to examine how residents of India perceive and respond to climate change. In India, research was conducted between May and August 2012 across five states—Gujarat, Madhya Pradesh, Odisha, Tamil Nadu, and Uttarakhand—and the city of Mumbai, representing diverse geographies and socio-economic groups. The study utilized surveys, 24 focus group discussions, 8 community assessments, and 30 expert interviews. The report identifies three priority audiences for communication: farmers, the urban poor, and housewives.","ai_generated":true,"unit":"cdkn-000063#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The research in India was conducted from May to August 2012 across five states (Gujarat, Madhya Pradesh, Odisha, Tamil Nadu, and Uttarakhand) and the city of Mumbai to represent diverse geographic areas including coasts, mountains, a delta, plains, and a large city.","ai_generated":true,"unit":"cdkn-000063#insight-1","date_modified":"2026-10-23"},{"text":"The study population in India is characterized by significant economic vulnerability, with approximately 70% of the participants living on less than $2 (£1.30) per day.","ai_generated":true,"unit":"cdkn-000063#insight-2","date_modified":"2026-10-23"},{"text":"The report identifies farmers, housewives, and the urban poor as three priority audiences with specific communication needs to support their response to climate change.","ai_generated":true,"unit":"cdkn-000063#insight-3","date_modified":"2026-10-23"}],"climate_tags":["climate change communication","climate change adaptation","food security","water security","energy access"],"geography_discussed":["Gujarat","Madhya Pradesh","Odisha","Tamil Nadu","Uttarakhand","Mumbai"],"frame_perspective":[],"analysis_type":[]},{"id":"cdkn-000906","url":"https://climateinsightsdirectory.org/document/cdkn-000906","title":"Climate attribution science: a useful tool to plan for extreme heat events","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"policy brief","language":"en","date_published":"2017","source_url":"https://cdkn.org/sites/default/files/files/CDKN_RRA_HeatWave_PB_Pr2Final_WEB.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document discusses the increasing frequency and magnitude of extreme heat events in India, highlighting the role of climate attribution science in identifying the human-induced causes of these events. It emphasizes that such science helps decision-makers create targeted heat action plans that account for vulnerability, exposure, and local factors like the urban heat island effect, air pollution, and humidity. The brief notes that while aerosols can temporarily lower peak temperatures, their reduction through clean energy policies may increase heat wave intensity. It advocates for coordinated government responses, early warning systems, and capacity building to protect marginalized populations, such as slum dwellers and outdoor workers, who are most at risk.","ai_generated":true,"unit":"cdkn-000906#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Extreme heat events in India are increasing in frequency and magnitude, causing severe health issues like heat stroke and dehydration, particularly among marginalized urban communities. Between 1992 and 2015, the human death toll exceeded 22,500 people.","ai_generated":true,"unit":"cdkn-000906#insight-1","date_modified":"2026-10-23"},{"text":"Climate attribution science allows researchers to determine if specific heat waves are caused by human-induced climate change. For example, the 2015 heat events in Andhra Pradesh and Telangana were found to be twice as likely due to anthropogenic climate change.","ai_generated":true,"unit":"cdkn-000906#insight-2","date_modified":"2026-10-23"},{"text":"Local factors such as the 'urban heat island effect'—where metropolitan areas are warmer than rural surroundings due to human activity and lack of green space—increase the exposure and vulnerability of city residents to peak temperatures.","ai_generated":true,"unit":"cdkn-000906#insight-3","date_modified":"2026-10-23"},{"text":"Air pollution and aerosols (such as dust and smoke) can reflect sunlight and lower ground temperatures, but their reduction through the adoption of clean fuels and pollution standards may lead to an increase in the intensity and frequency of heat waves.","ai_generated":true,"unit":"cdkn-000906#insight-4","date_modified":"2026-10-23"},{"text":"Increased relative humidity, often linked to higher irrigation cover in northern and central India, can lower actual heat wave temperatures by using solar heat for evaporation, but it also masks the trend of rising pre-monsoon maximum temperatures and increases the health risk to humans.","ai_generated":true,"unit":"cdkn-000906#insight-5","date_modified":"2026-10-23"},{"text":"Effective heat action plans, such as those pioneered in Ahmedabad and Odisha, should integrate real-time attribution studies, early warnings from the Indian Meteorological Department, and coordinated inter-departmental efforts to protect high-risk groups like outdoor workers, children, and the elderly.","ai_generated":true,"unit":"cdkn-000906#insight-6","date_modified":"2026-10-23"}],"climate_tags":["extreme event attribution","anthropogenic climate change","urban heat island","air pollution","aerosol","climate change adaptation","public health"],"geography_discussed":["Andhra Pradesh","Telangana","Phalodi","Rajasthan","Ahmedabad","Odisha"],"frame_perspective":[],"analysis_type":["policy analysis","scientific review"]},{"id":"natjust-000128","url":"https://climateinsightsdirectory.org/document/natjust-000128","title":"BALANCING THE SCALES","publisher":{"name":"Natural Justice","organization":"natural-justice"},"document_type":"report","language":"en","date_published":"2016-12","source_url":"https://naturaljustice.org/wp-content/uploads/2017/02/Balancing_the_Scales.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the use of community protocols in four countries to address the impacts of extractive industries. It finds that while the processes are time-consuming and context-dependent, they can empower communities through legal training, the formation of advocacy groups, and the creation of frameworks for free, prior and informed consent (FPIC). The report highlights that early engagement is generally more effective, though protocols can still yield results during active mining operations, as seen in Zimbabwe. Key challenges include internal community conflicts, power imbalances with corporations, and the need for strong local partnerships to ensure community ownership.","ai_generated":true,"unit":"natjust-000128#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Community protocols can help communities prepare for engagement with extractive companies by providing information on projects, understanding rights, and developing negotiation techniques, which helps address \"significant imbalances of power\".","ai_generated":true,"unit":"natjust-000128#insight-1","date_modified":"2026-10-23"},{"text":"In Zimbabwe, the protocol process enabled the Marange community to negotiate with mining companies to designate sacred sites and ancestral graves as \"off-limits for mining\" and secure compensation for the relocation of other graves.","ai_generated":true,"unit":"natjust-000128#insight-2","date_modified":"2026-10-23"},{"text":"The Argentinian process resulted in the public protocol document \"Kachi Yupi: Tracks in the Salt\", which was recognized by the Argentinian National Ombudsman in May 2016, recommending that authorities \"recognise and respect\" the FPIC process it defines.","ai_generated":true,"unit":"natjust-000128#insight-3","date_modified":"2026-10-23"},{"text":"Protocol processes can lead to the creation of community-based organisations to coordinate advocacy, such as the formation of Save Lamu in Kenya and the Mining Communities Coalition in Zimbabwe.","ai_generated":true,"unit":"natjust-000128#insight-4","date_modified":"2026-10-23"},{"text":"Early engagement is typically more effective for influencing project plans, but the Zimbabwe case shows protocols can be productive even after mining has been in progress for several years.","ai_generated":true,"unit":"natjust-000128#insight-5","date_modified":"2026-10-23"},{"text":"Legal empowerment training provided during the protocol processes has enabled communities to use domestic laws to demand compensation or access resources, such as Munda community members in India successfully demanding government compensation for elephant-caused damage to farmland.","ai_generated":true,"unit":"natjust-000128#insight-6","date_modified":"2026-10-23"},{"text":"The process in India demonstrated that attempting to create a single protocol for different tribal groups (Paudibhuyan and Munda) can fail if dominant social positions prevent equal participation, suggesting that separate processes may be necessary to avoid exacerbating tensions.","ai_generated":true,"unit":"natjust-000128#insight-7","date_modified":"2026-10-23"},{"text":"Developing a comprehensive public protocol document is a resource-intensive, multi-year effort; the fastest process in the study (Argentina) took approximately 21 months.","ai_generated":true,"unit":"natjust-000128#insight-8","date_modified":"2026-10-23"}],"climate_tags":["extractive industry","Free, Prior and Informed Consent","land tenure","environmental degradation","indigenous people","mining","human rights","community engagement"],"geography_discussed":["Jujuy Province","Salta Province","Odisha","Lamu County","Manicaland Province","Colombia","South Africa"],"frame_perspective":[],"analysis_type":["action research","case study"]},{"id":"gclifun-004765","url":"https://climateinsightsdirectory.org/document/gclifun-004765","title":"Access to Clean Energy (ACE) Fund for Off-grid Energy India","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2016-08-31","source_url":"https://www.greenclimate.fund/sites/default/files/document/17490-access-clean-energy-ace-fund-grid-energy.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The proposal outlines a 25-year program to address financing gaps for off-grid energy (OGE) companies in India. It seeks US$31 million from the Green Climate Fund (GCF) to create a first-loss capital pool and provide technical assistance, complementing a US$100 million revolving credit line anchored by the Indian Renewable Energy Development Agency (IREDA). The facility aims to reduce the high perceived risk of OGE lending, lower interest rates for companies, and replace kerosene use with clean energy in underserved rural and urban areas.","ai_generated":true,"unit":"gclifun-004765#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Approximately 77 million Indian households have little or no grid-based power access, and 20 million more are underserved, with kerosene serving as the primary lighting fuel and causing indoor air pollution.","ai_generated":true,"unit":"gclifun-004765#insight-1","date_modified":"2026-10-23"},{"text":"Off-grid energy (OGE) companies in India struggle to scale due to high upfront capital requirements, high domestic financing costs, and a 'high risk' perception from banks, with current interest rates ranging between 13-18%.","ai_generated":true,"unit":"gclifun-004765#insight-2","date_modified":"2026-10-23"},{"text":"The proposed finance facility consists of two main components: a financial support mechanism featuring a revolving concessional credit facility and a first-loss capital pool, and a technical assistance component for financial institutions.","ai_generated":true,"unit":"gclifun-004765#insight-3","date_modified":"2026-10-23"},{"text":"The financial structure involves a US$100 million revolving credit line, with US$70 million provided as an anchor contribution by IREDA and US$30 million from other domestic investors, supported by a US$30-50 million first-loss capital pool jointly funded by the GCF and the Ministry of New and Renewable Energy (MNRE).","ai_generated":true,"unit":"gclifun-004765#insight-4","date_modified":"2026-10-23"},{"text":"The program aims to address three primary barriers: information asymmetries regarding borrower creditworthiness, limited institutional capacity for risk assessment in the new OGE sector, and restrictive financing structures characterized by short tenors and high rates.","ai_generated":true,"unit":"gclifun-004765#insight-5","date_modified":"2026-10-23"},{"text":"The project targets a mitigation impact where a solar PV based micro grid could avoid 680tCO2e annually per MW of capacity, with each MW of additional capacity serving approximately 834 households.","ai_generated":true,"unit":"gclifun-004765#insight-6","date_modified":"2026-10-23"}],"climate_tags":["distributed generation","photovoltaics","biomass","climate finance","energy access","household air pollution"],"geography_discussed":["Bihar","Madhya Pradesh","Odisha","Uttar Pradesh","West Bengal","Africa"],"frame_perspective":[],"analysis_type":["proposal","financial design"]},{"id":"cdkn-000600","url":"https://climateinsightsdirectory.org/document/cdkn-000600","title":"Hand in Hand for Urban Transformation","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"guide","language":"en","date_published":"2016-08","source_url":"http://cdkn.org/wp-content/uploads/2016/11/Hand-in-Hand-for-Urban-Transformation-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document outlines a multi-level governance approach to urban climate action, emphasizing that while cities are primary sites of emissions and vulnerability, they require supportive national policy frameworks and international financing to achieve transformative change. It details local jurisdictional powers, national enabling environments, and specific access modalities for the Green Climate Fund.","ai_generated":true,"unit":"cdkn-000600#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Cities are critical to global climate action as they emit more than 70% of global emissions and consume approximately the same proportion of the world's primary energy, while generating 80% of global GDP.","ai_generated":true,"unit":"cdkn-000600#insight-1","date_modified":"2026-10-23"},{"text":"Local governments possess significant jurisdictional authority to implement climate measures, including managing drainage systems, water retention areas, transport sectors, and building energy efficiency.","ai_generated":true,"unit":"cdkn-000600#insight-2","date_modified":"2026-10-23"},{"text":"A comprehensive urban transformation process typically involves six steps: preparation and analysis, stakeholder identification, objective organization, priority ranking, finalization of plans and financing, and implementation followed by monitoring.","ai_generated":true,"unit":"cdkn-000600#insight-3","date_modified":"2026-10-23"},{"text":"Local governments can utilize various internal revenue sources for climate action, such as property taxes, development charges, tax increment financing (TIF), and user fees.","ai_generated":true,"unit":"cdkn-000600#insight-4","date_modified":"2026-10-23"},{"text":"National governments are essential for providing the strategic policy frameworks and predictable finance streams that enable cities to undertake large-scale transformative projects.","ai_generated":true,"unit":"cdkn-000600#insight-5","date_modified":"2026-10-23"},{"text":"The Green Climate Fund (GCF) offers four primary modalities for cities to access funding: as part of a standard project procedure, as Executing Entities (EEs), as accredited Implementing Entities (IEs), or through a programmatic approach using Enhanced Direct Access (EDA).","ai_generated":true,"unit":"cdkn-000600#insight-6","date_modified":"2026-10-23"},{"text":"Guarantees from international bodies like the GCF can improve the creditworthiness of municipal green bonds for cities in the Global South, attracting investors who would otherwise avoid these markets due to perceived risk.","ai_generated":true,"unit":"cdkn-000600#insight-7","date_modified":"2026-10-23"},{"text":"Climate adaptation planning in cities risks causing forced evictions of the urban poor in informal settlements if human rights and participatory processes are not prioritized.","ai_generated":true,"unit":"cdkn-000600#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate finance","climate change mitigation","climate change adaptation","climate bond","Green Climate Fund","Low carbon development","climate resilience","urban planning","greenhouse gas emissions","public transport","renewable energy","human rights"],"geography_discussed":["Kigali","Rwanda","Copenhagen","Denmark","Philippines","India","Indonesia","Gurgaon","Haryana","Odisha"],"frame_perspective":[],"analysis_type":["policy guide","case study analysis","framework synthesis"]},{"id":"cdkn-000237","url":"https://climateinsightsdirectory.org/document/cdkn-000237","title":"Strengthening disaster risk management in India: A review of five state disaster management plans","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2016-07-11","source_url":"https://cdkn.org/resource/strengthening-disaster-risk-management-india-review-state-disaster-management-plans","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The research reviews the SDMPs of Assam, Bihar, Gujarat, Odisha, and Uttarakhand, finding that while they provide a foundation for coordination, they overemphasize response and relief over prevention and risk reduction. The report recommends clarifying institutional responsibilities, innovating financing models, mainstreaming risk reduction across state departments, and better incorporating socioeconomic vulnerabilities and climate change risks into assessments.","ai_generated":true,"unit":"cdkn-000237#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The reviewed state disaster management plans (SDMPs) generally prioritize post-disaster response and relief over the other stages of the disaster management cycle.","ai_generated":true,"unit":"cdkn-000237#insight-1","date_modified":"2026-10-23"},{"text":"To improve disaster risk management, SDMPs need to better integrate the socioeconomic vulnerabilities of marginalized groups, including women and the extreme poor, and account for the escalating risks posed by climate change.","ai_generated":true,"unit":"cdkn-000237#insight-2","date_modified":"2026-10-23"},{"text":"The research identifies several systemic gaps in current SDMPs, including a lack of clear institutional responsibilities, insufficient mainstreaming of risk reduction across state sectors, and a need for better alignment with the Sendai Framework.","ai_generated":true,"unit":"cdkn-000237#insight-3","date_modified":"2026-10-23"}],"climate_tags":["disaster risk reduction","climate change","vulnerability assessment","climate finance"],"geography_discussed":["Assam","Bihar","Gujarat","Odisha","Uttarakhand","Chennai","Tamil Nadu","Phalodi","Rajasthan"],"frame_perspective":[],"analysis_type":["policy review"]},{"id":"cdkn-000945","url":"https://climateinsightsdirectory.org/document/cdkn-000945","title":"Strengthening disaster risk management in India","publisher":{"name":"Climate and Development Knowledge Network","organization":"climate-and-development-knowledge-network"},"document_type":"report","language":"en","date_published":"2016-07","source_url":"http://cdkn.org/wp-content/uploads/2016/07/India-disaster-management-web.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report reviews the SDMPs of Assam, Bihar, Gujarat, Odisha, and Uttarakhand, finding that while they are sophisticated in disaster response, they lack sufficient focus on risk reduction, socioeconomic vulnerability, and climate change integration. It recommends clarifying institutional roles, operationalising risk-reduction funds, and aligning state plans more closely with the Sendai Framework for Disaster Risk Reduction 2015–2030.","ai_generated":true,"unit":"cdkn-000945#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"State disaster management plans (SDMPs) in the reviewed states are highly sophisticated regarding disaster response and relief but are significantly weaker in risk reduction and prevention.","ai_generated":true,"unit":"cdkn-000945#insight-1","date_modified":"2026-10-23"},{"text":"There is a lack of clarity in the division of responsibilities at the national level, specifically regarding overlaps between the National Disaster Management Authority, the Ministry of Home Affairs, and the National Institute of Disaster Management in areas of research and relief standards.","ai_generated":true,"unit":"cdkn-000945#insight-2","date_modified":"2026-10-23"},{"text":"Funding for disaster management is heavily skewed toward response; while state disaster response funds are operational, mandated disaster management funds for risk reduction have largely failed to materialise.","ai_generated":true,"unit":"cdkn-000945#insight-3","date_modified":"2026-10-23"},{"text":"Vulnerability assessments in the SDMPs rely heavily on the Vulnerability Atlas of India, which identifies geographic hazard exposure but fails to adequately address the socioeconomic drivers of vulnerability.","ai_generated":true,"unit":"cdkn-000945#insight-4","date_modified":"2026-10-23"},{"text":"Most SDMPs largely ignore climate change projections and the impact of climate variability, with Assam being the only state to substantively reference climate studies and variability in its plan.","ai_generated":true,"unit":"cdkn-000945#insight-5","date_modified":"2026-10-23"},{"text":"Mainstreaming of disaster risk management across government departments is primarily limited to emergency response contingency planning rather than long-term risk reduction.","ai_generated":true,"unit":"cdkn-000945#insight-6","date_modified":"2026-10-23"},{"text":"While SDMPs acknowledge the needs of women and marginalised groups, these considerations are almost exclusively limited to post-disaster response and relief rather than integrated into the full disaster management cycle.","ai_generated":true,"unit":"cdkn-000945#insight-7","date_modified":"2026-10-23"},{"text":"The reviewed SDMPs show general alignment with the objectives of the Sendai Framework for Disaster Risk Reduction 2015–2030, but they lack the baseline data and quantitative targets necessary to measure actual progress.","ai_generated":true,"unit":"cdkn-000945#insight-8","date_modified":"2026-10-23"}],"climate_tags":["disaster risk reduction","climate change adaptation","climate variability","climate finance","social inclusion","early warning system"],"geography_discussed":["New Delhi","Philippines","Gorakhpur","Uttar Pradesh"],"frame_perspective":[],"analysis_type":["policy review","gap analysis"]},{"id":"iisd-003398","url":"https://climateinsightsdirectory.org/document/iisd-003398","title":"Reforming Kerosene Subsidies in India","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2016-04","source_url":"https://www.iisd.org/system/files/publications/reforming-kerosene-subsidies-india.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report argues that India's kerosene subsidy program is highly inefficient due to significant leakages and poor service quality. It proposes replacing these subsidies with targeted support for solar-based lighting in rural areas and liquefied petroleum gas (LPG) for urban-poor households, asserting that such a transition would be economically beneficial for both the government and the beneficiaries.","ai_generated":true,"unit":"iisd-003398#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The distribution of subsidized kerosene through the Public Distribution System (PDS) is marred by high leakage, with only 49 per cent of the fuel actually reaching households at the subsidized price and about 34 per cent never reaching them at all.","ai_generated":true,"unit":"iisd-003398#insight-1","date_modified":"2026-10-23"},{"text":"Kerosene use differs significantly by geography: in rural India, it is primarily used for lighting, while in urban areas, it is predominantly used for cooking.","ai_generated":true,"unit":"iisd-003398#insight-2","date_modified":"2026-10-23"},{"text":"Transitioning rural households from kerosene to alternative lighting solutions could result in net annual savings for the government between INR 8,000 and 12,000 crore over the lifetime of the alternatives.","ai_generated":true,"unit":"iisd-003398#insight-3","date_modified":"2026-10-23"},{"text":"Shifting urban-poor households from subsidized kerosene to subsidized LPG for cooking would increase government expenditure by approximately INR 600 crore per year, but would improve overall social welfare and eliminate the health risks of kerosene.","ai_generated":true,"unit":"iisd-003398#insight-4","date_modified":"2026-10-23"},{"text":"Direct Benefit Transfer for Kerosene (DBT-K) is viewed as limited in its potential because it does not address the inefficiency of the fuel itself and may exclude low-income households who lack access to banking services.","ai_generated":true,"unit":"iisd-003398#insight-5","date_modified":"2026-10-23"},{"text":"The adoption of alternative lighting in rural areas is hindered by high upfront costs, poor after-sale service, and a market-driven approach that excludes the poorest households.","ai_generated":true,"unit":"iisd-003398#insight-6","date_modified":"2026-10-23"},{"text":"Urban-poor households face specific barriers to LPG adoption, including bureaucratic hurdles regarding address proof in unauthorized slums, high connection costs, and the unaffordability of large 14.2 kg cylinders for daily wage earners.","ai_generated":true,"unit":"iisd-003398#insight-7","date_modified":"2026-10-23"},{"text":"A successful transition would require the rehabilitation of kerosene wholesale dealers and retailers, such as granting urban dealers licenses for small (2-5 kg) LPG cylinders or providing rural dealers with training to enter the off-grid sector.","ai_generated":true,"unit":"iisd-003398#insight-8","date_modified":"2026-10-23"}],"climate_tags":["energy access","clean cooking","household air pollution"],"geography_discussed":["Kanpur","Bengaluru","Uttar Pradesh","Bihar","Jharkhand","Odisha","West Bengal","Madhya Pradesh","Maharashtra","Manipur","Assam","Nagaland","Gujarat","New Delhi","Karnataka"],"frame_perspective":[],"analysis_type":["economic analysis","policy assessment","field study"]}]}