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Subject: Economics

  • 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

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

    Why in the News?

    India’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 ₹4,000-5,000 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 operator’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

    India’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 India’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 India’s renewable transition challenges, including grid integration, transmission constraints, and policy reforms.

  • 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.

  • West Asia War May Hit India’s Gem and Jewellery Industry

    Why in the News

    The ongoing conflict involving Iran, Israel and the United States in West Asia is expected to disrupt supply chains and trade for India’s gem and jewellery sector, according to the Gem and Jewellery Export Promotion Council (GJEPC).

    Why the Industry is Vulnerable

    • Heavy Dependence on GCC Region
      • India’s gem and jewellery trade relies strongly on the Gulf Cooperation Council (GCC) countries.
      • GCC share in India’s exports increased from 14% in FY22 to about 22% in FY25.
      • During April–December 2025, the share rose to 36%.
    • Major markets include: United Arab Emirates and Saudi Arabia
    • UAE as a Key Trade Hub
      • The UAE plays a crucial role in India’s jewellery trade.
      • Supplies rough diamonds and bullion to India.
      • Major centre for diamond trade in Dubai.
      • Accounts for a large share of gold bar imports to India.

    Trade Data Highlights

    • India’s gem and jewellery exports to GCC grew from $5.1 billion (FY22) to $8.3 billion (FY25).
    • Imports from GCC rose from $16 billion to $28 billion during the same period.
    • GCC countries supply over 30% of India’s jewellery imports.
    [2016] Which of the following is not a member of ‘Gulf Cooperation Council’? 
    (a) Iran 
    (b) Saudi Arabia 
    (c) Oman 
    (d) Kuwait
  • Centre Directs Refiners to Maximise LPG Production

    Why in the News

    The Government of India invoked the Essential Commodities Act, 1955 to direct oil refiners to maximise production of Liquefied Petroleum Gas (LPG) and prioritise domestic cooking gas supply amid disruptions in global energy supply chains.

    About Essential Commodities Act, 1955 (ECA)The Essential Commodities Act, 1955 (ECA) is a law enacted by the Government of India to ensure the availability of essential goods to consumers at fair prices and prevent hoarding, black marketing, and artificial scarcity.Amendment and Reforms (2020)In 2020, the government introduced reforms to liberalise agricultural markets.Key changes:Cereals, pulses, oilseeds, edible oils, onions, and potatoes were removed from the list of essential commodities under normal circumstances.Stock limits can be imposed only under extraordinary situations such as: War, Famine, and Extraordinary price rise.

    Key Government Directive

    • All oil refining companies must use propane and butane streams primarily for LPG production.
    • Refiners are not allowed to divert propane or butane for:
      • Petrochemical products
      • Other downstream industrial uses.
    • LPG produced must be supplied to public sector oil marketing companies.

    Major public sector oil marketing companies include:

    • Indian Oil Corporation Limited
    • Bharat Petroleum Corporation Limited
    • Hindustan Petroleum Corporation Limited
    • These companies will distribute LPG only to domestic consumers.
    [2010] Consider the following statements: The Union Government fixes the Statutory Minimum Price of sugarcane for each sugar season. Sugar and sugarcane are essential commodities under the Essential Commodities Act. Which of the statements given above is/are correct? (a) 1 only  (b) 2 only  (c) Both 1 and 2  (d) Neither 1 nor 2
  • Why India’s rice production and export strategy requires a rethink

    Why in the News?

    India has retained its position as the world’s largest rice exporter, accounting for over 40% of global rice exports, but recent data reveals a structural imbalance between production, irrigation patterns, and export strategy. While basmati rice earns far higher export value, most irrigation and policy support remains concentrated in water-intensive non-basmati cultivation in Punjab and Haryana. Also there is an intensified debate on climate stress and declining water tables that expose the long-term ecological and economic risks of India’s current rice policy.

    Why is India the world’s largest rice exporter?

    1. Global export dominance: India accounted for 21.69 million tonnes of rice exports in 2024-25, representing over 40% of global rice trade.
    2. Comparative advantage: India produces both basmati and non-basmati rice varieties, allowing access to multiple international markets.
    3. Competitive pricing: Large-scale production and government support through Minimum Support Price (MSP) and procurement policies reduce export costs.
    4. Production scale: India produced around 152 million tonnes of rice, ensuring a large exportable surplus.
    5. Regional specialization:
      1. Basmati rice: Cultivated mainly in Punjab, Haryana, Western Uttar Pradesh, and parts of Jammu & Kashmir.
      2. Non-basmati rice: Produced widely across eastern and southern India.

    Why does rice cultivation create severe environmental stress in India?

    1. Water-intensive crop: Rice cultivation requires 3,000-5,000 litres of water per kilogram of rice produced.
    2. Groundwater depletion: Paddy cultivation in Punjab and Haryana relies heavily on tube wells, causing rapid decline in groundwater levels.
    3. Flood irrigation practices: Traditional transplantation method keeps fields submerged for long periods, increasing water consumption
    4. Monoculture cropping pattern: Government procurement encourages rice-wheat cycles, reducing crop diversification.
    5. Energy consumption: Extensive pumping of groundwater increases electricity consumption and subsidy burden.

    How does India’s rice export composition reveal policy imbalance?

    1. High-value basmati exports: Basmati rice generates higher export value per tonne, mainly exported to West Asia, Europe, and North America.
    2. Lower-value non-basmati exports: Non-basmati rice contributes large volumes but lower revenue.
    3. Export value trends:
      1. Basmati exports: Around $5.8-$6.9 billion annually.
      2. Non-basmati exports: Around $4.5-$6.5 billion annually.
    4. Policy paradox: Most irrigation subsidies and procurement incentives favour non-basmati rice production in water-stressed regions, rather than high-value basmati.

    Why are irrigation and cropping patterns considered inefficient?

    1. Concentration in water-stressed regions: Major rice cultivation occurs in Punjab and Haryana, regions with limited natural rainfall.
    2. Delayed monsoon alignment: Rice transplantation often begins before monsoon arrival, increasing reliance on groundwater.
    3. Procurement bias: Government agencies procure large quantities of rice from north-west India, reinforcing unsustainable cropping patterns.
    4. Limited crop diversification: Farmers hesitate to shift to pulses, maize, or oilseeds due to assured rice procurement.

    What reforms are necessary to ensure sustainable rice production?

    1. Crop diversification: Encourages shift from paddy to maize, pulses, oilseeds, and millets in water-stressed regions.
    2. Promotion of direct seeded rice (DSR): Reduces water usage by 20-30% and lowers labour demand.
    3. Expansion of basmati cultivation: Higher-value exports generate greater income per hectare with comparatively lower water intensity.
    4. Irrigation efficiency: Adoption of micro-irrigation and precision farming reduces water consumption.
    5. Regional redistribution: Promotes rice cultivation in eastern states such as Bihar, West Bengal, Odisha, and Assam, which have higher rainfall.

    Conclusion

    India’s rice export success masks underlying ecological and economic vulnerabilities. Continued expansion of water-intensive rice cultivation in groundwater-stressed regions threatens long-term agricultural sustainability. Reforms must prioritize water-efficient cultivation, crop diversification, and expansion of high-value basmati exports. Aligning agricultural incentives with resource sustainability and market efficiency is essential to ensure that India remains a global rice leader without compromising environmental security.

    PYQ Relevance

    [UPSC 2020] What are the major factors responsible for making the rice-wheat system a success? In spite of this success, how has this system become a bane in India?

    Linkage: This PYQ directly relates to the issue of rice-wheat monoculture driven by MSP, procurement, and irrigation policies, which boosted food security after the Green Revolution. However, the same system has led to groundwater depletion, soil degradation, and unsustainable cropping patterns, highlighting the need to rethink India’s rice production and export strategy.

  • Morbi Ceramic Industry Faces Shutdown Risk

    Why in the News

    The ceramic industry in Morbi, Gujarat may face a shutdown due to disruptions in natural gas and propane supplies following escalating conflict in West Asia and the closure of the Strait of Hormuz.

    Importance of Morbi Ceramic Cluster

    • Morbi is India’s largest ceramic manufacturing hub.
    • Around 600 ceramic units operate in the region.
    • The industry employs 2–4 lakh workers directly and indirectly.
    • Produces tiles, sanitaryware and vitrified products exported globally.

    Why the Industry is Affected

    • Dependence on Gas-Based Fuel
      • Ceramic units rely heavily on propane and natural gas for: Firing kilns and Drying processes. About 80% of units use propane as the main fuel.
    • Disruption of Energy Supplies
      • Gas shipments from Gulf countries are stuck due to tensions involving Iran, Israel, and the United States. Closure or disruption in the Strait of Hormuz, a critical global shipping route, has interrupted supplies.
    • Limited Fuel Stocks
      • Propane stocks: 2–4 days.
      • Natural gas (CNG) supplies: about one week.
      • If supplies do not resume soon, the industry may suspend operations within 7–10 days.
    [2024] Consider the following statements: Statement-I: Sumed pipeline is a strategic route for Persian Gulf oil and natural gas shipments to Europe. Statement-II: Sumed pipeline connects the Red Sea with the Mediterranean Sea. Which one of the following is correct in respect of the above statements? (a) Both Statement-I and Statement-II are correct and Statement-II explains Statement-I (b) Both Statement-I and Statement-II are correct, but Statement-II does not explain Statement-I (c) Statement-I is correct, but Statement-II is incorrect (d) Statement-I is incorrect, but Statement-II is correct
  • New GDP Series: Why Fiscal Targets and $4 Trillion Goal Get Harder

    Why in the News

    The Ministry of Statistics and Programme Implementation released the new GDP series with 2022-23 as base year, lowering nominal GDP by about 3 to 4 percent. This affects fiscal deficit ratios, debt calculations and India’s timeline to become a 4 trillion dollar economy.

    What Changed in the New GDP Series

    • 2023-24 growth revised down from 9.2% to 7.2%.
    • Nominal GDP for 2025-26 reduced by about 3.3%.
    • Real GDP now calculated using double deflation method.
    • Better data sources such as GST, ASUSE, PLFS integrated.
    • Lower nominal GDP means the economy is slightly smaller in rupee terms than previously estimated.

    Impact on Fiscal Deficit

    Fiscal deficit is calculated as a percentage of GDP.

    1. Current Year Impact

    • 2025-26 fiscal deficit moves from 4.4% to 4.5%.
    • Past years’ ratios also rise slightly due to smaller GDP base.

    2. FY27 Target Problem

    • Target: 4.3% of GDP
      Absolute deficit: Rs 16.96 lakh crore
    • To achieve this ratio:
      • Nominal GDP must grow 13 to 14% next year.
      • Budget assumption was only 10% nominal growth.
    • This implies either: Higher growth, or Lower borrowing, or Expenditure compression.

    Impact on Debt to GDP Ratio

    • Debt ratio projected to rise to about 58% in 2025-26.
    • Target is 55.6%.
    • Lower GDP denominator pushes ratio upward.
    • New GDP series makes fiscal consolidation slightly tougher mathematically.

    Impact on $4 Trillion Economy Goal

    • At exchange rate of about Rs 90.98 per dollar: 2025-26 GDP is around 3.8 trillion dollars.
    • If nominal growth is 10% and rupee remains stable: India can cross 4 trillion dollars in 2026-27.
    • However:
      • Rupee depreciation can delay milestone.
      • Dollar GDP depends on both growth and exchange rate.
    • Nigeria example shows how currency depreciation can shrink dollar GDP even if domestic output rises.

    Broader Implications

    • Ratios worsen even without policy slippage.
    • Government may need borrowing recalibration.
    • Fiscal arithmetic becomes tighter.
    • Market expectations on growth become crucial.

    Prelims Pointers

    • GDP can be measured by production, income and expenditure methods.
    • Nominal GDP uses current prices.
    • Real GDP adjusts for inflation.
    • Fiscal deficit equals total expenditure minus total receipts excluding borrowings.
    • Debt to GDP ratio indicates sustainability of public debt.
    [2015] With reference to Indian economy, consider the following statements: 

    1. The rate of growth of Real Gross Domestic product has steadily increased in the last decade. 
    2. The Gross Domestic product at market prices (in rupees) has steadily increased in the last decade. 

    Which of the statements given above is/are correct? 

    (a) 1 only  (b) 2 only  (c) Both 1 and 2  (d) Neither 1 nor 2