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Subject: Economics

  • Economic Stabilisation Fund to Tackle Global Headwinds

    Why in the News

    The Government of India has created an Economic Stabilisation Fund of ā‚¹57,381 crore through the Second Supplementary Demand for Grants to manage economic shocks arising from global crises such as the West Asia conflict and rising oil prices.

    Key Highlights

    1. Supplementary Demand for Grants

    • The Lok Sabha approved the Second Supplementary Demand for Grants.
    • Gross additional expenditure: about ā‚¹2.81 lakh crore.
    • Estimated savings and receipts: around ā‚¹80,000 crore.
    • Net additional cash outgo: about ā‚¹2.01 lakh crore.

    2. Economic Stabilisation Fund

    • Allocation: ā‚¹57,381 crore.
    • Purpose: Provide fiscal space to address global economic uncertainties, including
      • Oil price shocks
      • Supply chain disruptions
      • External economic crises
      • Sector-specific shocks.
    • According to Nirmala Sitharaman, the fund will help the government respond quickly to unexpected global developments.

    3. Context: Global Economic Pressures

    • Rising crude oil prices (around $100 per barrel).
    • Disruptions due to West Asia conflict affecting energy supply chains.
    • Risk of broader global economic instability.

    4. Fiscal Deficit Assurance

    • The government reiterated that Indiaā€™s fiscal deficit target for FY 2025ā€“26 will remain at 4.4% of GDP, even after these additional expenditures.

    Significance

    • Acts as a buffer mechanism against external economic shocks.
    • Enhances fiscal flexibility for emergency responses.
    • Helps maintain macroeconomic stability without deviating from the fiscal consolidation roadmap.
    [2012] Which of the following are the methods of Parliamentary control over public finance in India? 1. Placing Annual Financial Statement before the Parliament. 2. Withdrawal of moneys from Consolidated Fund of India only after passing the Appropriation Bill. 3. Provisions of supplementary grants and vote-on-account. A periodic or at least a mid-year review of programmes of the Government against macroeconomic forecasts and expenditure by a Parliamentary Budget Office. Introducing Finance Bill in the Parliament. Select the correct answer using the code given below: (a) 1, 2, 3 and 5 only (b) 1, 2 and 4 only (c) 3, 4 and 5 only (d) 1, 2, 3, 4 and 5

  • Electrifying industrial heat as a path for thermal independence

    Why in the News?

    Rising tensions in West Asia, particularly around the Strait of Hormuz, have raised concerns about disruptions in global natural gas supplies. Since India imports nearly half of its natural gas, recent supply cuts have reduced gas allocation to industries to about 65-80% of contracted volumes, affecting manufacturing clusters such as Morbi (ceramics) and Ludhiana (textiles) that depend heavily on gas-based industrial heat. The situation has revived discussions on reducing industrial dependence on imported fuels for heat generation and moving toward electrified heat systems and concentrated solar thermal (CST) to achieve greater thermal independence and energy security.

    What is Industrial Heat?

    1. Industrial heat refers to the thermal energy required for manufacturing processes like melting, drying, and refining, accounting for ~74% of industrial energy demand.
    2. Primarily generated by burning fossil fuels, this sector contributes ~18% of global greenhouse gases. Transitioning to electrification, green hydrogen, and thermal storage is crucial for decarbonization.

    Key Aspects of Industrial Heat:

    1. Temperature Ranges:
      1. Low (<150Ā°C): Food/beverage, paper/pulp (drying, pasteurization)
      2. Medium (150-400Ā°C): Chemical separation, refining
      3. High (>400Ā°C): Steel (up to 1,600Ā°C), cement (1,400-1,500Ā°C), glass.
    2. Primary Sources: Mostly natural gas, coal, and oil.
    3. Common Applications: Process heat is used for steam production, drying, calcining, and smelting.

    Why Does Industrial Heat Represent a Strategic Energy Challenge for India?

    1. Industrial Energy Demand: Industrial heat accounts for nearly 25% of Indiaā€™s total energy consumption, making it a major driver of fossil-fuel demand.
    2. Fossil Fuel Dependence: Manufacturing sectors rely heavily on coal, natural gas, and LPG to produce process heat.
    3. Geopolitical Vulnerability: Heavy dependence on imported natural gas exposes India to global supply disruptions and price volatility.
    4. Industrial Clusters: Manufacturing hubs such as Morbi (ceramics) and Ludhiana (textiles) rely on gas-based boilers for steam generation.
    5. High Temperature Requirements: Industrial processes often require temperatures exceeding 1000Ā°C, limiting easy substitution with conventional renewable electricity.

    How Does Electrification of Industrial Heat Improve Efficiency and Sustainability?

    1. Electromagnetic Heating: Electric heating technologies generate heat using electromagnetic fields and plasma, improving energy conversion efficiency.
    2. Higher Efficiency Levels: Electric heating systems achieve efficiency levels exceeding 90%, significantly higher than fossil-fuel boilers.
    3. Reduced Heat Loss: Conventional gas boilers lose 20-30% of energy through exhaust gases, reducing system efficiency.
    4. Direct Heat Generation: Technologies such as induction heating transfer heat directly into materials rather than heating an intermediary fluid like steam.
    5. Process Precision: Plasma torches enable controlled high-temperature heating, reducing overheating and improving manufacturing quality.

    Can Concentrated Solar Thermal (CST) Technologies Support Industrial Heat Requirements?

    Concentrated Solar Thermal (CST) technology, often known as Concentrated Solar Power (CSP), uses mirrors or lenses to focus a large area of sunlight onto a small receiver, generating high temperatures (often > 500 degree celcius). This thermal energy is captured by fluids (like oil or molten salt) to produce steam, driving turbines for electricity or providing direct industrial heat

    1. Solar Heat Generation: CST uses mirrors to concentrate sunlight onto receivers, heating fluids such as molten salts or water to temperatures up to 400Ā°C.
    2. Suitable Industrial Applications: Textile processes like scouring and bleaching require temperatures between 100Ā°C and 180Ā°C, which CST can supply.
    3. Large National Potential: India possesses approximately 15 GW CST potential, indicating significant scalability.
    4. Declining Payback Period: Rising gas prices have reduced the payback period for CST installations from seven years to less than three years.
    5. On-site Energy Generation: CST enables industries to generate heat directly at factory premises, reducing reliance on external fuel supply.

    What Infrastructure Constraints Limit the Electrification of Industrial Heat?

    1. Grid Capacity Constraints: If large industrial clusters shift simultaneously to electric heating, existing power grids may face severe load pressure.
    2. Industrial Electricity Demand: Industrial heat already accounts for about 25% of total energy consumption, creating high electricity demand if electrified.
    3. Storage Limitations: Indiaā€™s energy storage capacity remains underdeveloped, limiting round-the-clock renewable electricity supply.
    4. Distribution Network Stress: Studies indicate that up to one-third of transformers in industrial clusters operate near peak load, leaving minimal capacity for additional demand.
    5. High Voltage Requirements: Electric heating systems require high-capacity substations and reinforced transmission networks.

    How Can Thermal Storage Strengthen Industrial Electrification?

    1. Thermal Energy Storage: Heat generated during daytime can be stored in insulated tanks or molten salts for later industrial use.
    2. Lower Cost Advantage: Thermal storage systems are significantly cheaper than lithium-ion battery storage for industrial heat applications.
    3. Grid Independence: Stored heat enables factories to operate without continuous grid electricity supply.
    4. Peak Load Management: Thermal storage reduces electricity demand spikes during peak industrial operations.
    5. Round-the-Clock Operation: Industries can maintain 24Ɨ7 production cycles despite intermittent renewable energy generation.

    What Policy Measures Are Required to Accelerate Industrial Heat Electrification?

    1. National Thermal Policy: Establishes a coordinated framework for industrial heat decarbonisation and energy security.
    2. Targeted Subsidies: Extends production-linked incentives to CST mirror manufacturing, similar to solar photovoltaic incentives.
    3. Carbon Market Integration: Enables industries to trade avoided emissions through carbon credit markets, improving financial viability.
    4. Industrial Cluster Upgradation: Strengthens distribution infrastructure in manufacturing clusters to support electric heating.
    5. Energy Market Reform: Facilitates heat purchase agreements, allowing industries to buy heat as a service.

    What Global Experiences Offer Lessons for Indiaā€™s Industrial Heat Transition?

    1. Hybrid Industrial Systems: Solar thermal systems operate during the day while gas-based systems provide backup at night.
    2. Oman Solar Thermal Project: Integration of large CST plants with gas-fired industrial operations reduces gas consumption by nearly 80%.
    3. Plug-and-Play Solar Systems: Modular solar thermal units allow quick installation in factory rooftops or parking areas.
    4. Energy Service Companies: External providers install and operate solar heat infrastructure, supplying heat at fixed prices.
    5. Market Reform Models: Liberalized energy markets allow heat supply contracts similar to electricity power purchase agreements.

    Conclusion

    Achieving greater thermal independence in industrial heat generation is essential for strengthening Indiaā€™s energy security, industrial competitiveness, and climate commitments. Electrification of industrial heat and the adoption of concentrated solar thermal technologies can significantly reduce dependence on imported fossil fuels while improving efficiency and lowering emissions. However, this transition requires grid strengthening, thermal storage development, supportive policy frameworks, and targeted incentives for industries. A coordinated strategy integrating technology adoption, infrastructure expansion, and market reforms will be crucial to enable a resilient and sustainable industrial energy system in India.

    PYQ Relevance

    [UPSC 2020] Describe the benefits of deriving electric energy from sunlight in contrast to the conventional energy generation. What are the initiatives offered by our Government for this purpose?
    Linkage: Concentrated Solar Thermal (CST) highlights the role of solar energy in industrial heat generation and energy transition, linking directly with UPSC questions on renewable energy and decarbonisation. CST is important for Prelims MCQs as UPSC frequently asks about types of solar technologies (Solar PV vs Solar Thermal) and their applications.

  • CPI Inflation Rises to 10-Month High in February 2026

    Why in the News

    Indiaā€™s retail inflation, measured by the Consumer Price Index, rose to 3.2% in February 2026, the highest in ten months. The data was released by the Ministry of Statistics and Programme Implementation.

    Key Highlights

    1. Increase in Inflation

    • CPI inflation increased from January 2026 levels to 3.2% in February.
    • The last time inflation was higher was April 2025 (3.3%).

    2. Major Drivers of Inflation

    The rise was mainly driven by:

    • Food and Beverages
    • Inflation increased to 3.35% in February from 2.1% in January.
    • This segment contributed 44 basis points of the 47-basis-point increase in overall inflation.
    • Paan, Tobacco and Intoxicants: Inflation rose to 3.5% from 2.9%.
    • Personal Care and Miscellaneous Goods
      • Inflation remained very high at around 19.6%, largely due to rising gold and silver prices.

    Core Inflation

    • Core inflation (excluding food and fuel) remained stable at 3.4% between January and February.

    Impact of Global Factors

    Economists warn inflation may rise further due to:

    • Energy supply disruptions caused by the West Asia conflict.
    • Higher prices in electricity, gas, fuel, restaurants, and accommodation.
    • Depreciation of the Indian rupee.
    [2020] Consider the following statements: The weightage of food in Consumer Price Index (CPI) is higher than that in Wholesale Price Index (WPI). The WPI does not capture changes in the prices of services, which CPI does. Reserve Bank of India has now adopted WPI as its key measure of inflation and to decide on changing the key policy rates. Which of the statements given above is/are correct? (a) 1 and 2 only (b) 2 only (c) 3 only (d) 1, 2 and 3

  • A revision of GDP and its implications

    Why in the News?

    Indiaā€™s National Statistical Office (NSO) has released a new GDP series with 2022-23 as the base year, revising earlier national income estimates. The revision reduces the absolute size of Indiaā€™s GDP by around 3-4% compared with estimates based on the 2011-12 base year and introduces changes in sectoral and institutional shares of output.

    What is Gross Domestic Product (GDP)?

    1. Gross Domestic Product (GDP): Measures the total monetary value of all final goods and services produced within the geographical boundaries of a country during a specific period, usually one year.
    2. Indicator of Economic Performance: Serves as the primary measure of economic size, growth rate, and overall economic activity used in national and international comparisons.
    3. Measurement Methods: Calculated through three approaches, Production (Value Added) Method, Income Method, and Expenditure Method to estimate economic output.
    4. Policy Relevance: Guides macroeconomic policy, fiscal planning, investment decisions, and development assessment.

    How is GDP Revision Done?

    1. Base Year Revision: Updates the reference year for calculating GDP at constant prices to reflect current economic structure and price levels.
    2. Data Source Updating: Incorporates new surveys, administrative datasets, enterprise records, and sectoral statistics for more accurate estimation.
    3. Methodological Improvements: Adopts updated statistical techniques and classifications aligned with the UN System of National Accounts (SNA).
    4. Sectoral Reclassification: Revises sectoral contributions (agriculture, industry, services) and institutional sectors such as households and corporations.
    5. Institutional Responsibility: Conducted by the National Statistical Office (NSO) under the Ministry of Statistics and Programme Implementation (MoSPI) to maintain credible national accounts.

    Why is the Revision of Indiaā€™s GDP Series Significant?

    1. Fiscal Indicator Recalibration: Revises key macroeconomic ratios such as Fiscal Deficit-to-GDP, Debt-to-GDP, and Tax-to-GDP, influencing budgetary planning, fiscal responsibility targets, and macroeconomic stability assessments.
    2. Reassessment of Past Economic Performance: Recomputes historical GDP estimates using the new base year, enabling more accurate evaluation of growth trends, policy outcomes, and economic cycles during the previous decade.
    3. Global Economic Standing: Alters Indiaā€™s comparative GDP size, affecting its position among major economies and influence within international institutions such as the IMF, World Bank, and G20.
    4. Policy Planning Baseline: Establishes a new benchmark for long-term economic planning, including projections related to development targets, productivity growth, and sectoral policy frameworks.
    5. Investor and Market Signalling: Provides updated macroeconomic indicators for investors, rating agencies, and financial markets, shaping perceptions about Indiaā€™s growth potential, economic resilience, and investment attractiveness.

    What Does Re-basing the GDP Series Mean and Why is it Necessary?

    1. Base Year Revision: Updates the reference year for calculating GDP to reflect contemporary economic structure. The new base year is 2022-23, replacing 2011-12.
    2. Structural Updating: Captures changes in production patterns, prices, and sectoral contributions within the economy.
    3. Methodological Revision: Incorporates new datasets, surveys, and statistical techniques to improve accuracy.
    4. Periodic Exercise: Conducted roughly every 5-10 years under the System of National Accounts (SNA) framework.
    5. Institutional Responsibility: Managed by the National Statistical Office (NSO) under the Ministry of Statistics and Programme Implementation (MoSPI).

    How Has the Revision Changed the Estimated Size of Indiaā€™s Economy?

    1. GDP Contraction: Shows a 3-4% reduction in the absolute size of GDP compared with the 2011-12 series.
    2. Growth Rate Differences: Indicates minor variations in growth rates, generally within one percentage point between the two series.
    3. Revised Growth Estimates:
      1. 2022-23 to 2023-24: Earlier series estimated 12% growth, revised series estimates 11%.
      2. 2023-24 to 2024-25: Earlier estimate 9.8%, revised estimate 9.7%.
    4. Interpretation: Suggests the earlier GDP series may have slightly overstated economic expansion.

    How Has the Sectoral Composition of the Economy Changed?

    1. Agriculture: Share increased from 18.1% to 20% of Gross Value Added (GVA).
    2. Industry: Share increased marginally from 27.7% to 28.1%.
    3. Manufacturing: Share increased from 14.3% to 14.7%.
    4. Services: Share declined from 54.3% to 51.8%.
    5. Interpretation: Indicates a modest shift toward primary and industrial sectors, while services appear slightly smaller in the revised structure.

    What Changes Have Occurred in Institutional Classification of Output?

    1. Private Non-Financial Corporations (PNFCs): Share declined from 35.4% to 33.9% of GVA.
    2. Household Sector: Share increased from 44.3% to 45% of GVA.
    3. Interpretation: Suggests greater recognition of informal and household economic activity in the revised dataset.

    Does the Revision Address Earlier Concerns About Indiaā€™s GDP Estimates?

    1. Overestimation Debate: Concerns existed that growth rates under the 2011-12 series were overstated.
    2. International Evaluation: IMF review of member countriesā€™ economic statistics assigned India a ā€˜Cā€™ grade for NAS quality.
    3. Partial Correction: Reduction in GDP size suggests a possible statistical correction.
    4. Remaining Uncertainty: Lack of detailed methodological explanation leaves questions about the reliability of the revised estimates.

    What Are the Policy Implications of the GDP Revision?

    1. Economic Benchmarking: Revises the baseline for measuring economic performance and growth trajectories.
    2. Policy Planning: Affects macroeconomic planning, fiscal projections, and development targets.
    3. International Comparisons: Influences Indiaā€™s global economic ranking and comparisons with other economies.
    4. Development Targets: May impact timelines for achieving goals such as the $5 trillion economy target.
    5. Statistical Credibility: Emphasizes the need to strengthen statistical transparency and methodological clarity.

    Conclusion

    The revision of Indiaā€™s GDP series with 2022-23 as the base year represents a necessary statistical update to align national income estimates with the evolving structure of the economy. While the revised estimates moderately alter the size and sectoral composition of GDP, the exercise underscores the importance of robust data systems, transparent methodology, and credible statistical institutions for sound economic policymaking. Strengthening Indiaā€™s statistical architecture, expanding high-quality datasets, and ensuring institutional independence of statistical agencies will be critical to improving the reliability of macroeconomic indicators and enabling evidence-based governance and development planning.

    PYQ Relevance

    [UPSC 2020] Define potential GDP and explain its determinants. What are the factors that have been inhibiting India from realizing its potential GDP?

    Linkage: The revised GDP series directly relates to debates on accurate measurement of GDP and assessment of Indiaā€™s real growth potential. This makes statistical revisions crucial for understanding true economic performance and policy planning.

  • Development means expansion of choices in Amartya Sen’s ‘capabilities approach’

    Why in the News?

    The debate on development has increasingly shifted from income growth to human freedom. This increases the relevance of the Capability Approach developed by Amartya Sen, especially in an era marked by AI-driven economic change, weakening democratic deliberation, and rising economic reductionism. According to this approach, development must be understood as an expansion of human capabilities and freedoms, rather than merely economic growth indicators such as GDP.

    What is the Capability Approach developed by Amartya Sen?

    1. The Capability Approach, articulated by Amartya Sen, redefines development as the expansion of substantive freedoms that enable individuals to lead lives they value.Ā 
    2. The framework challenges the dominance of purely economic indicators such as GDP or per capita income, emphasizing human agency, equality of autonomy, and access to social opportunities.

    What Is the Core Idea Behind Amartya Senā€™s Capability Approach?

    1. Capabilities: Represents the substantive freedoms individuals possess to lead lives they value. Unlike traditional development metrics, it focuses on opportunities available to individuals rather than economic output.
    2. Functionings: Denotes the actual achievements or states of being, such as being educated, healthy, or socially active.
    3. Freedom-centred development: Defines development as expansion of real freedoms, not merely accumulation of wealth.
    4. Human agency: Positions individuals as active agents of development rather than passive beneficiaries of economic growth.

    Why Does the Capability Approach Challenge Economic Reductionism?

    1. GDP limitations: GDP measures economic production but ignores inequality, well-being, and access to opportunities.
    2. Human-centred evaluation: Evaluates development based on education, health, autonomy, and participation rather than only income growth.
    3. Policy implications: Encourages governments to invest in social infrastructure such as education, healthcare, and democratic institutions.
    4. Intellectual influence: Inspired global frameworks such as the Human Development Index (HDI) developed by the United Nations Development Programme.

    How Did Amartya Senā€™s Collaboration with Mahbub ul Haq Transform Development Measurement?

    1. Human Development paradigm: Collaboration between Amartya Sen and Mahbub ul Haq reshaped development thinking.
    2. Human Development Index: Introduced by the United Nations Development Programme to measure development through health, education, and income indicators. In 1990, the pair introduced the HDI as an alternative to GDP. The index, which Haq championed and designed, measures average achievement across three key dimensions: health (life expectancy), knowledge (education), and standard of living (income).
    3. Redefining “Poverty”: Their work transformed the definition of poverty from a simple lack of income to a broader “capability deprivation”.
    4. Policy shift: Encouraged global policy discourse to move beyond income-centric growth models.
    5. Normative foundation: Positioned human dignity and opportunity expansion as the core objective of development.
      1. Challenging Economic Consensus: The collaboration successfully challenged the World Bank-IMF consensus that focused almost exclusively on macroeconomic growth. They argued that growth is only a means to development, not the end goal itself, and that ā€œpeople are the wealth of nationsā€

    Why Are Capabilities Often Reduced to Employability in Modern Policy Discourse?

    1. Skill-centric education: Increasing emphasis on skills for employment rather than holistic human development.
    2. Labour-market orientation: Education policies often prioritise market demand over critical thinking and civic participation.
    3. Instrumental approach: Capabilities are treated as tools for economic productivity instead of intrinsic human freedoms.
    4. Policy challenge: Requires balancing economic productivity with intellectual freedom and democratic participation.

    How Do Declining Democratic Standards Affect the Capability Framework?

    1. Erosion of critical thinking: Post-truth politics weakens reasoned debate and evidence-based policy making.
    2. Shrinking civic space: Reduces individualsā€™ ability to participate meaningfully in democratic governance.
    3. Institutional weakening: Declining governance standards limit the stateā€™s ability to nurture enabling conditions for capabilities.
    4. Impact on development: Development becomes economic growth without empowerment.

    What Is the Concept of Equality of Autonomy in Senā€™s Thought?

    1. Equality of autonomy: Emphasizes that individuals must have equal capability to pursue their chosen life paths.
    2. Justice framework: Links capability expansion to broader theories of justice and fairness.
    3. Institutional role: Requires both formal institutions and lived social experiences to enable human freedom.
    4. Democratic participation: Ensures individuals can think independently, reason critically, and contribute to society.

    Conclusion

    The capability approach reframes development as the expansion of human freedoms, opportunities, and agency. In a rapidly transforming world shaped by technological disruption and democratic challenges, the framework reminds policymakers that economic growth without empowerment is incomplete development. Sustainable progress requires strengthening education, public reasoning, social equity, and democratic participation, ensuring that development truly expands the choices and freedoms available to people.

    PYQ Relevance

    [UPSC 2023] The crucial aspect of the development process has been the inadequate attention paid to Human Resource Development in India. Suggest measures that can address this inadequacy.

    Linkage: This question links to Amartya Senā€™s Capability Approach, which views development as expansion of human capabilities through education, health, and skill formation, rather than mere GDP growth. It is also relevant to GS-2 (Social Justice) themes such as human development, poverty alleviation, and strengthening social sector outcomes.

  • 250 Years of The Wealth of Nations: Adam Smithā€™s Lessons

    Why in the News

    The famous economics book An Inquiry into the Nature and Causes of the Wealth of Nations completed 250 years on March 9, 2026. The work by Adam Smith continues to influence debates on free trade, taxation, monopolies, and economic inequality.

    About The Wealth of Nations

    • Published in 1776, during the Scottish Enlightenment.
    • Considered the foundational text of classical economics.
    • Analyses the sources of national wealth, labour productivity, trade, and markets.
      • Smith is often called the ā€œfather of modern economicsā€.

    Key Economic Ideas of Adam Smith

    • Division of Labour: Specialisation improves productivity.
      • Example used by Smith: pin factory, where each worker performs a specific task to increase output.
    • Free Markets: Economic activity works best when individuals pursue self-interest within competitive markets.
    • The ā€œInvisible Handā€: Individuals pursuing their own interest can unintentionally benefit society as a whole. Markets allocate resources efficiently without heavy government intervention.
    • Free Trade: Smith criticised mercantilism, the idea that countries should maximise exports and minimise imports.
    • He argued that:
    • Trade allows nations to specialise in what they produce efficiently.
    • Greater trade leads to mutual prosperity.
    [2011] What does the term ā€œeconomic liberalizationā€ refer to in the context of the Indian economy? (a) Expansion of the public sector (b) Restriction of foreign investment (c) Removal of restrictions on private sector and encouragement of free market policies (d) Increase in trade barriers

  • RBI Conducts OMO Purchase to Inject Liquidity

    Why in the News

    The Reserve Bank of India (RBI) conducted Open Market Operations (OMO) purchase of Government Securities worth ā‚¹50,000 crore to inject liquidity into the banking system. Another tranche of ā‚¹50,000 crore is scheduled shortly.

    Key Highlights

    • Amount purchased: ā‚¹50,000 crore worth of Government Securities (G-Secs).
    • Total planned purchase: ā‚¹1,00,000 crore in two tranches.
    • Maturity range of securities:
      • 6.01% G-Sec maturing 2030
      • 7.30% G-Sec maturing 2053

    Purpose:

    • Inject liquidity into the banking system.
    • Offset liquidity shortage caused by advance tax payments.
    • Ensure banks have sufficient funds for lending.

    What are Open Market Operations (OMO)?

    • Open Market Operations are a key monetary policy tool used by the RBI.
    • Definition: Buying or selling government securities in the open market to regulate money supply and liquidity.
    • If RBI buys G-Secs
      • Injects liquidity
      • Increases money supply
      • Encourages lending
    • If RBI sells G-Secs
      • Absorbs liquidity
      • Reduces money supply

    Additional Measures

    • The Government of India conducted a switch auction, buying back ā‚¹6,309 crore of G-Secs and issuing ā‚¹6,431 crore of new bonds.
    • These operations help manage the governmentā€™s debt maturity profile.
    [2013] In the context of Indian economy, ā€˜Open Market Operationsā€™ refers to: (a) borrowing by scheduled banks from the RBI (b) lending by commercial banks to industry and trade (c) purchase and sale of government securities by the RBI (d) None of the above

  • India’s renewable transition caught between stranded power and institutional inertia

    Why in the News?

    Indiaā€™s renewable energy push is facing a major challenge as large amounts of renewable power remain unused due to grid congestion. In Rajasthan, over 4,000 MW of operational renewable capacity cannot supply electricity during peak hours despite the state having 23 GW installed capacity and only 18.9 GW evacuation margin. Even costly 765 kV transmission corridors designed for 6,000 MW are operating below 20% utilisation, highlighting serious institutional and grid management gaps as India targets 500 GW non-fossil capacity by 2030.

    Why is India facing stranded renewable power despite large transmission investments?

    1. Transmission congestion: More than 4,000 MW of renewable capacity in Rajasthan remains unable to evacuate power during peak hours due to grid bottlenecks despite being fully commissioned.
    2. Mismatch between capacity and evacuation margin: Rajasthan has approximately 23 GW of renewable capacity but only 18.9 GW evacuation margin, creating structural congestion.
    3. Underutilized transmission corridors: High-capacity 765 kV double-circuit corridors designed for about 6,000 MW evacuation are operating at only 600-1,000 MW, representing utilisation levels below 20%.
    4. High infrastructure costs: These corridors require ā‚¹4,000-5,000 crore investment, yet deliver only a fraction of intended value due to conservative grid operation.
    5. Delayed connectivity readiness: Many commissioned renewable plants cannot inject power due to gaps in transmission infrastructure readiness.

    How does institutional conservatism affect grid operations?

    1. Grid security prioritisation: The grid operatorā€™s mandate focuses primarily on maintaining system stability, leading to conservative operational decisions that limit utilisation of transmission assets.
    2. Absence of utilisation benchmarks: Transmission infrastructure lacks automatic utilisation benchmarks or performance review triggers, allowing persistent underutilisation.
    3. Limited accountability: Institutional frameworks do not assign clear responsibility for inefficiencies in transmission utilisation.
    4. Static security frameworks: Grid operations rely on static security rules rather than dynamic risk assessment mechanisms, restricting operational flexibility.
    5. Commercial burden on generators: Renewable generators bear the financial impact of congestion and curtailment, despite planning failures occurring elsewhere in the system.

    Why is there a structural disconnect between planning and grid operations?

    1. Planning assumptions vs operational reality: The Central Transmission Utility (CTU) plans corridors based on projected renewable capacity under General Network Access (GNA) assumptions.
    2. Mismatch in actual power flows: Transmission planning may assume 6,000 MW capacity evacuation, while operational permissions allow only about 1,000 MW of actual flow.
    3. Investment decisions based on approvals: Developers invest billions of rupees based on connectivity approvals and expected transmission timelines.
    4. Operational restrictions: When the grid becomes operational, physical infrastructure limitations prevent full capacity utilisation.
    5. Planning-operation misalignment: This creates a credibility gap between regulatory approvals and operational outcomes.

    How does the current curtailment mechanism create inequity in the power sector?

    1. Curtailment concentration: Current practices impose curtailment disproportionately on projects with Temporary General Network Access (T-GNA).
    2. Unequal risk allocation: Projects with Permanent GNA continue uninterrupted operation, while temporary access projects absorb most congestion impacts.
    3. Investment uncertainty: Developers that completed projects in good faith face unpredictable shutdowns during peak hours.
    4. Financial stress on renewable developers: Congestion leads to lost generation revenue and lower project viability.
    5. Regulatory alignment vs commercial outcome: While the policy framework aligns with regulatory categories, commercial outcomes remain inequitable across generators.

    What technological and operational solutions already exist but remain underused?

    1. Reactive power management technologies: Devices such as STATCOMs and advanced reactive-power equipment can stabilise voltage fluctuations and increase grid utilisation.
    2. Grid support equipment: Modern renewable plants increasingly include Static VAR generators and harmonic filters, enabling improved system stability.
    3. Dynamic security assessment: Advanced grid operators globally employ real-time contingency management and probabilistic risk evaluation to improve utilisation.
    4. Adaptive operational frameworks: Flexible operational protocols allow higher transmission utilisation while maintaining reliability.
    5. Global best practices: Many advanced grids have moved beyond static security frameworks to dynamic grid management systems.

    What institutional reforms are necessary to improve renewable grid integration?

    1. Expanded grid mandate: The national grid operator must balance both stability and infrastructure utilisation within safe operational limits.
    2. Performance-based evaluation: Grid performance metrics should include efficiency indicators alongside reliability indicators.
    3. Proportional curtailment mechanisms: Curtailment in constrained regions should be distributed proportionally across generators rather than targeting specific access categories.
    4. Dynamic GNA reallocation: Unused transmission capacity should be reallocated in real time through transparent operational protocols.
    5. Automatic review mechanisms: Major transmission assets should undergo automatic operational reviews if utilisation falls below expected capacity.
    6. Transparency in grid governance: Public disclosure of performance assessments can strengthen accountability and stakeholder confidence.

    Conclusion

    Indiaā€™s renewable energy transition cannot succeed solely through capacity addition or infrastructure expansion. The Rajasthan example demonstrates that institutional governance, grid operation practices, and regulatory accountability are equally critical. Ensuring that transmission infrastructure operates efficiently, equitably, and transparently will determine whether Indiaā€™s clean energy expansion results in actual electricity generation or stranded renewable capacity. Aligning planning, regulation, and operations is therefore essential to build a credible and resilient renewable energy system.

    PYQ Relevance

    [UPSC 2022] Do you think India will meet 50 percent of its energy needs from renewable energy by 2030? Justify your answer. How will the shift of subsidies from fossil fuels to renewables help achieve the above objectives? Explain.

    Linkage: This PYQ is directly linked to Indiaā€™s renewable transition challenges, including grid integration, transmission constraints, and policy reforms.

  • AI’s impact on labour market: Anthropic’s report flags high exposureĀ 

    Why in the News?

    Artificial Intelligence is increasingly reshaping labour markets worldwide. A recent report by Anthropic shows that jobs involving digital tasks, cognitive work, and routine analysis face higher automation risks due to large language models (LLMs). This shift has implications for skills, education, and employment policies, especially for countries like India, where millions work in IT, services, and BPO sectors.

    What does the Anthropic report reveal about AI exposure in labour markets?
    The Anthropic report marks one of the first systematic attempts to measure real-world labour market exposure to AI rather than relying only on theoretical predictions.

    1. New Measurement Metric- ā€œObserved Exposureā€: Introduces a framework combining LLM technical capabilities with real-world usage data from Claude AI systems, enabling more accurate estimation of AIā€™s impact on jobs.
    2. High Exposure in Digital Occupations: Identifies sectors such as business and finance, management, computer science, engineering, legal services, and office administration as highly exposed to AI-driven automation.
    3. Striking Capability Statistic: Finds that LLMs are theoretically capable of performing up to 94% of tasks performed by computer and mathematics workers.
    4. Real Adoption Gap: Notes that despite this capability, Claude currently performs only about 33% of such tasks, indicating that technological potential exceeds current adoption.
    5. Declining Hiring Trends: Observes a 14% decline in hiring for younger professionals (22-25 years) in highly exposed occupations.
    6. Gender Dimension: Highlights that women constitute 54.4% of high-exposure roles compared to 38.8% of low-exposure roles, indicating potential gendered labour market impacts.
    7. Indian Context: A NITI Aayog report titled ā€œRoadmap for Job Creation in the AI Economyā€ warns that over 60% of formal-sector jobs, particularly in IT services and BPO sectors employing over 6 million people, could face automation risks by 2030.

    How does the report measure AI exposure in the labour market?

    1. Observed Exposure Metric: Measures the extent to which AI is actually used in real work tasks by analysing usage patterns of Anthropicā€™s Claude AI model.
    2. Combination Approach: Integrates theoretical capability of LLMs with empirical usage data, creating a realistic understanding of labour market disruption.
    3. Correlation with Job Trends: Tests exposure levels against US government employment projections and unemployment survey data to identify links between AI exposure and labour market trends.
    4. Evidence-Based Findings: Establishes that higher AI exposure correlates with weaker job growth and rising job losses in certain occupations.

    Which sectors face the highest AI disruption risks?

    1. Business and Finance: AI systems can perform financial analysis, data interpretation, and report generation, increasing automation potential in financial services.
    2. Management Occupations: AI supports strategic planning, data analytics, and decision-support tools, reducing reliance on routine managerial tasks.
    3. Computer and Mathematical Jobs: LLMs show the highest capability in coding, debugging, and software documentation tasks, with theoretical capability covering 94% of such tasks.
    4. Legal Sector: AI assists in contract analysis, legal research, and document drafting, increasing exposure in legal professions.
    5. Office and Administrative Work: Routine administrative functions such as documentation, scheduling, and record management are highly susceptible to automation.

    Why are digital and knowledge-sector jobs more vulnerable than manual jobs?

    1. Digitisation of Work: Tasks performed in digital environments are easier for AI systems to replicate using algorithms and machine learning models.
    2. Routine Cognitive Tasks: AI excels in pattern recognition, data processing, and repetitive analytical tasks.
    3. Physical Constraints: Manual occupations involving physical movement, craftsmanship, or real-world interaction remain difficult for AI systems to automate.
    4. Lower AI Applicability in Manual Sectors: Industries such as construction, agriculture, protective services, and personal care show relatively lower AI exposure.

    How could AI affect employment patterns and demographics?

    1. Impact on Young Workers: Hiring in highly exposed occupations for workers aged 22-25 years has declined by 14%, suggesting reduced entry-level opportunities.
    2. Gender Disparity: Women represent 54.4% of high-exposure jobs, indicating disproportionate vulnerability in AI-driven labour market changes.
    3. Highly Educated Workforce Exposure: AI disruption is concentrated in graduate-level occupations, highlighting risks for knowledge workers rather than low-skilled labour.
    4. Occupational Polarisation: AI may lead to growth in high-skill innovation roles and low-skill manual jobs, while shrinking middle-skill occupations.

    What implications does AI disruption have for India?

    1. IT and BPO Sector Risks: Over 60% of formal-sector jobs in IT services and BPO industries may face automation pressures by 2030.
    2. Employment Scale: These sectors currently employ over 6 million people in India, making AI disruption economically significant.
    3. Stock Market Response: Shares of TCS, Wipro, and Infosys declined nearly 20% over the past year, reflecting investor concerns about AI-driven automation.
    4. Skill Gap Challenge: Limited mathematical and scientific skill levels among large segments of the population could hinder adaptation to AI-driven economies.
    5. Low R&D Investment: Indiaā€™s low spending on research and development compared to the US and China reduces its capacity to lead in AI innovation.

    Can AI also create opportunities in traditional sectors?

    1. Precision Agriculture: AI-enabled analysis of satellite imagery, weather forecasts, soil data, and crop patterns enables farmers to optimise sowing and harvesting decisions.
    2. Agricultural Risk Reduction: AI systems provide early warnings about pests and diseases, improving crop protection.
    3. Resource Optimisation: AI helps farmers determine fertiliser use, irrigation requirements, and input efficiency.
    4. Policy Initiatives: The Union Budget 2026ā€“27 proposed the Bharat-VISTAAR system (Virtually Integrated System to Access Agricultural Resources) to integrate AgriStack platforms with ICAR research data.

    Conclusion

    Artificial Intelligence is reshaping the nature of work by transforming how tasks are performed rather than simply eliminating jobs. The Anthropic report highlights that occupations involving digital and cognitive tasks face the greatest exposure to AI-driven automation. For India, where millions depend on knowledge-sector employment, the challenge lies in strengthening skills, promoting AI innovation, and ensuring that technological progress complements rather than displaces human labour.

    PYQ Relevance

    [UPSC 2023] Introduce the concept of Artificial Intelligence (AI). How does AI help clinical diagnosis? Do you perceive any threat to privacy of the individual in the use of AI in healthcare?

    Linkage: This question directly relates to the applications and societal implications of AI, similar to how the article discusses AI transforming labour markets and professional work.

  • Farm Loan Waivers Return: Impact on Credit Culture

    Why in the News

    The Maharashtra government has announced a ā‚¹35,000 crore farm loan waiver scheme, raising concerns from economists and the Reserve Bank of India (RBI) about its impact on credit culture and state finances.

    Key Features of the Maharashtra Scheme

    • Total cost: ~ā‚¹35,000 crore
    • Beneficiaries: ~30 lakh farmers
      • 20 lakh non-defaulters will receive an ā‚¹50,000 incentive for timely repayment.
    • Cost breakdown:
      • ā‚¹20,000 crore for loan waiver of defaulters
      • ā‚¹15,000 crore incentive for regular borrowers

    Why Governments Announce Farm Loan Waivers

    • Reduce farmersā€™ debt burden
    • Provide relief during agrarian distress
    • Enable farmers to restart productive investment
      • However, economists argue that such schemes often fail to provide long-term solutions.

    Major Farm Loan Waiver Schemes in India

    National Schemes

    1. Agricultural and Rural Debt Relief Scheme (ARDRS), 1990
      • Covered loans from public sector banks and regional rural banks.
      • Maximum relief ā‚¹10,000 per farmer.
    2. Agricultural Debt Waiver and Debt Relief Scheme (ADWDRS), 2008
      • Covered banks and cooperative credit institutions.
      • Focus on small and marginal farmers (ā‰¤5 acres).

    Total spending on waivers in last 35 years: over ā‚¹3 lakh crore.

    Trend Since 2014

    • Farm loan waivers increased significantly after 2014ā€“15.
    • 10 states announced waivers worth about ā‚¹2.4 lakh crore.
    • Many announcements occurred close to elections, according to RBI.

    RBIā€™s Concerns

    • Weakening of Credit Culture: Farmers may delay repayment expecting future waivers. Creates moral hazard in the credit system.
    • Reduced Agricultural Lending: Banks become reluctant to provide fresh loans.
    • Rise in NPAs: Agricultural sector gross NPAs reached about 8.44% (2019).
    • Fiscal Burden on States: Waiver costs can reach 0.1% to 2% of state GSDP. Payments often spread over 3ā€“5 years, affecting budgets.