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GS Paper: Indian Economy

  • LPG Consumption in India

    Why in the News

    Recent data from the Petroleum Planning and Analysis Cell shows that although India has over 34 crore LPG consumers, the average household consumption is only about half a cylinder per month, especially in rural areas.

    Key Data Highlights

    LPG Consumers in India

    • Total LPG consumers: ≈33.37 crore households
    • Connections under Pradhan Mantri Ujjwala Yojana: 10.56 crore

    Growth in LPG Consumption

    • LPG consumption increased six-fold: 446 TMT in 1998–99 and 2,754 TMT in 2025–26
    • Major growth occurred during the 2000s and 2010s (8–11% annually).
    • A sharp rise happened in 2016–17 after the launch of PMUY.

    Household Consumption Pattern

    Average LPG Use per Household

    • Delhi (mostly urban): ~ 11.4 kg per month
    • Bihar (mostly rural): ~ 6.7 kg per month
    • Uttar Pradesh: ~ 7.7 kg per month

    States with Highest LPG Consumers

    • Uttar Pradesh – 4.87 crore consumers (highest)
    • Maharashtra – 3.2 crore
    • West Bengal – 2.72 crore
    • Tamil Nadu – 2.4 crore
    • Bihar – 2.33 crore

    Key Insight

    • Urban households rely almost entirely on LPG, leading to higher monthly usage.
    • Rural households often combine LPG with traditional fuels, resulting in lower consumption despite having connections.
    [2009] With which one of the following has the B.K. Chaturvedi Committee dealt? (a) Review of Centre-States relation (b) Review of Delimitation Act (c) Tax reforms and measures to increase revenues (d) Price reforms in the oil sector

  • Economic Stabilisation Fund to Tackle Global Headwinds

    Why in the News

    The Government of India has created an Economic Stabilisation Fund of ₹57,381 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 ₹2.81 lakh crore.
    • Estimated savings and receipts: around ₹80,000 crore.
    • Net additional cash outgo: about ₹2.01 lakh crore.

    2. Economic Stabilisation Fund

    • Allocation: ₹57,381 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 India’s fiscal deficit target for FY 2025–26 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

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

    Why in the News

    India’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?

    India’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 India’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 India’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 India’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 India’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 India’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 India’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 countries’ economic statistics assigned India a ‘C’ 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 India’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 India’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 India’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 India’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. 
    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 Sen’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 Sen’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 “people are the wealth of nations”

    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 individuals’ ability to participate meaningfully in democratic governance.
    3. Institutional weakening: Declining governance standards limit the state’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 Sen’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 Sen’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 Smith’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 “father of modern economics”.

    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 “Invisible Hand”: 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 “economic liberalization” 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 ₹50,000 crore to inject liquidity into the banking system. Another tranche of ₹50,000 crore is scheduled shortly.

    Key Highlights

    • Amount purchased: ₹50,000 crore worth of Government Securities (G-Secs).
    • Total planned purchase: ₹1,00,000 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 ₹6,309 crore of G-Secs and issuing ₹6,431 crore of new bonds.
    • These operations help manage the government’s debt maturity profile.
    [2013] In the context of Indian economy, ‘Open Market Operations’ 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

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

    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- “Observed Exposure”: Introduces a framework combining LLM technical capabilities with real-world usage data from Claude AI systems, enabling more accurate estimation of AI’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 “Roadmap for Job Creation in the AI Economy” 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 Anthropic’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: India’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 2026–27 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 ₹35,000 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: ~₹35,000 crore
    • Beneficiaries: ~30 lakh farmers
      • 20 lakh non-defaulters will receive an ₹50,000 incentive for timely repayment.
    • Cost breakdown:
      • ₹20,000 crore for loan waiver of defaulters
      • ₹15,000 crore incentive for regular borrowers

    Why Governments Announce Farm Loan Waivers

    • Reduce farmers’ 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 ₹10,000 per farmer.
    2. Agricultural Debt Waiver and Debt Relief Scheme (ADWDRS), 2008
      • Covered banks and cooperative credit institutions.
      • Focus on small and marginal farmers (≤5 acres).

    Total spending on waivers in last 35 years: over ₹3 lakh crore.

    Trend Since 2014

    • Farm loan waivers increased significantly after 2014–15.
    • 10 states announced waivers worth about ₹2.4 lakh crore.
    • Many announcements occurred close to elections, according to RBI.

    RBI’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 3–5 years, affecting budgets.

  • Recognizing invisible labour of care is a national priority

    Why in the News

    The issue of recognizing invisible labour of care has gained prominence due to renewed policy focus on women-led development and the care economy in India’s recent budgetary and policy initiatives. This is coinciding with International Women’s Day discussions on gender equity and economic participation. A striking indicator of change is the rise in India’s Female Labour Force Participation Rate (FLFPR) from 23.3% in 2017-18 to 41.7% in 2023-24, highlighting increasing female participation in the workforce. However, this progress coexists with a massive burden of unpaid care work carried primarily by women, which remains outside formal economic accounting. The Union Budget 2026-27 reportedly crossed ₹5 lakh crore under gender budgeting for the first time, reflecting policy recognition of women’s contribution.

    What is the invisible care economy?

    1. It refers to the massive volume of unpaid, uncounted, and undervalued labor; primarily cooking, cleaning, child care, and elder care; performed mostly by women and girls. 
    2. It acts as a “hidden” backbone of society, essential for sustaining the workforce and households but largely absent from GDP, formal economic metrics, and policy discussions.

    Why is the care economy considered the hidden foundation of national development?

    1. Social reproduction: Care work ensures the reproduction of human capital by nurturing children, supporting working adults, and maintaining social well-being.
    2. Economic multiplier: Effective care systems enable women to participate in the workforce, thereby increasing productivity and household incomes.
    3. Cultural dimension: Indian civilisation traditionally reveres Shakti, acknowledging women’s nurturing and leadership roles across social spaces.

    How has India’s policy framework shifted from welfare to women-led development?

    1. Developmental shift: Policies increasingly recognise women not merely as beneficiaries but as drivers of development.
    2. Institutional reforms: Governance frameworks incorporate gender-sensitive policy design across sectors such as health, education, and social welfare.
    3. Political recognition: Women’s contributions are acknowledged in public discourse and development planning.
    4. Leadership emphasis: The idea of women-led development has emerged as a guiding principle in policy discussions.

    What does recent data reveal about women’s workforce participation in India?

    1. FLFPR increase: India’s Female Labour Force Participation Rate rose from 23.3% in 2017-18 to 41.7% in 2023-24, indicating increasing female economic engagement.
    2. Care constraint: Despite rising participation, women continue to shoulder the majority of unpaid domestic responsibilities.
    3. Economic barrier: Lack of accessible childcare and care infrastructure limits women’s sustained participation in the workforce.
    4. Labour productivity: Supporting care services can unlock millions of economic opportunities for women.

    What policy initiatives aim to strengthen India’s care ecosystem?

    1. Gender Budgeting expansion: Gender Budget crossed ₹5 lakh crore for the first time, indicating substantial financial commitment toward women-related programmes.
    2. Caregiver skill development: Initiatives aim to train 1.5 lakh caregivers, strengthening the professional care workforce.
    3. Working women hostels: Expansion of residential facilities supports women migrating for employment.
    4. Anganwadi strengthening: Upgradation of Anganwadi centres improves early childhood care and nutrition services.
    5. Inter-sectoral convergence: Integration of health, nutrition, and childcare services improves social protection.

    How are legal reforms supporting childcare and worker welfare?

    1. Labour law reforms: The Code on Social Security strengthens social protection frameworks.
    2. Workplace welfare: The Occupational Safety, Health and Working Conditions Code improves workplace conditions and supports welfare provisions.
    3. Creche facilities: Legal frameworks encourage workplace childcare infrastructure.
    4. Social protection: Labour codes integrate worker welfare and family-support mechanisms.

    Why is the demand for formal care services increasing in India?

    1. Urbanisation: Rapid urban expansion weakens extended family support systems.
    2. Migration: Labour mobility separates families from traditional caregiving networks.
    3. Nuclear households: Smaller families reduce the availability of informal caregivers.
    4. Ageing population: Increasing life expectancy raises the demand for elderly care services.

    What policy measures are essential to strengthen the care economy in India? (Way Forward)

    1. 5R Framework for Care Economy: Adopting the Recognise – Reduce – Redistribute – Reward – Represent framework ensures a comprehensive policy approach.
      1. Recognition through time-use surveys and national accounting; 
      2. Reduction through care infrastructure like childcare centres; 
      3. Redistribution by encouraging shared household responsibilities and state-supported services; 
      4. Reward by ensuring fair wages, training, and social security for care workers;
      5. Representation by including care workers in labour dialogues and policymaking forums.
    2. Recognition through statistical accounting: Institutionalise regular Time Use Surveys and develop satellite accounts in national income accounting to measure the economic value of unpaid domestic and caregiving labour.
    3. Expansion of childcare and care infrastructure: Strengthen Anganwadi centres, promote workplace crèche facilities, and establish community-based childcare and elder-care services to reduce the unpaid care burden on women.
    4. Professionalisation and formalisation of care work: Expand care-sector skilling programmes, certify caregivers, and extend social security benefits to domestic workers, caregivers, and informal care providers.
    5. Learning from global best practices:
      1. Nordic countries (Sweden, Norway): Provide universal childcare services and gender-neutral parental leave, which significantly increases women’s labour force participation.
      2. Canada: Introduced a national affordable childcare programme, reducing childcare costs and enabling greater workforce participation among mothers.
      3. Japan: Expanded public elder-care services under its Long-Term Care Insurance system to address ageing population challenges and reduce family caregiving burdens.

    Conclusion

    Recognising and strengthening the care economy is essential for achieving inclusive and sustainable development in India. Institutional support for caregiving, through childcare infrastructure, social security, and gender-responsive policies, can transform unpaid labour into a recognised pillar of economic growth. A development model that values care work not only empowers women but also strengthens the foundations of a resilient and equitable society.

    PYQ Relevance

    [UPSC 2021] Though women in post-Independent India have excelled in various fields, the social attitude towards women and feminist movement has been patriarchal.” Apart from women education and women empowerment schemes, what interventions can help change this milieu?

    Linkage: This PYQ directly relates to the care economy, unpaid domestic labour, and gender-responsive policymaking, which are central to recognising women’s invisible work in society and the economy. The article’s focus on gender budgeting, childcare infrastructure, and redistribution of care work aligns with UPSC themes of women empowerment, social justice, and inclusive development.