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GS Paper: GS3

  • Tsunami Ready Recognition Programme 

    Why in the News?

    India is expected to have more than 100 tsunami ready villages under the Tsunami Ready Recognition Programme in the Indian Ocean region.

    About Tsunami Ready Recognition Programme

    • An international community based recognition programme
    • Developed by the Intergovernmental Oceanographic Commission of UNESCO
    • Focuses on coastal communities vulnerable to tsunami hazards

    Objectives

    • Build resilient coastal communities
    • Enhance awareness and preparedness against tsunamis
    • Protect life, livelihoods and property
    • Reduce loss and damage during tsunami events

    Prelims Pointers

    • Programme is recognition based, not funding based
    • Focus is on last mile preparedness
    • Applies to coastal and island communities
    • Part of global efforts for tsunami risk reduction
    • India is a member of the Indian Ocean tsunami preparedness framework
    The 2004 Tsunami made people realize that mangroves can serve as a reliable safety hedge against coastal calamities. How do mangroves function as a safety hedge? (2011)

    (a) Mangrove swamps separate human settlements from the sea by a wide zone in which people neither live nor venture out. 

    (b) Mangroves provide both food and medicines which people are in need of after any natural disaster. 

    (c) Mangrove trees are tall with dense canopies and serve as an excellent shelter during a cyclone or Tsunami. 

    (d) The mangrove trees do not get uprooted by storms and tides because of their extensive roots.

  • Why manufacturing has lagged in India

    Introduction

    Manufacturing has historically been the backbone of structural transformation, productivity growth, and mass employment. While economies such as China and South Korea used manufacturing to transition from agrarian to industrial societies, India’s manufacturing share in GDP has stagnated and, in recent years, declined relative to services. 

    Why in the News?

    India’s manufacturing sector has recently lost relative ground to services, despite decades of policy emphasis on industrialisation. This is significant because manufacturing traditionally absorbs surplus labour and drives productivity convergence. The article highlights a sharp contrast with China and South Korea, where manufacturing shares expanded rapidly. A key concern raised is that high public sector wages, limited technological upgrading, and reliance on services-led growth have made Indian manufacturing less competitive, contributing to wage stagnation, inequality, and weak employment outcomes.

    Why has India lagged behind China and South Korea in manufacturing growth?

    1. Relative manufacturing performance: Shows India’s manufacturing share in GDP remaining stagnant while China and South Korea experienced sustained expansion.
    2. Structural divergence: Reflects different growth models, with India relying on services while East Asia leveraged labour-intensive manufacturing.
    3. Growth consequences: Results in weaker productivity growth and limited mass employment creation.

    How do public sector wages distort manufacturing competitiveness?

    1. High government salaries: Raise economy-wide wage benchmarks beyond productivity levels in manufacturing.
    2. Cost escalation: Increases prices of non-tradable services, raising input costs for manufacturing firms.
    3. Labour diversion: Pulls skilled workers away from manufacturing into public employment.
    4. Competitiveness impact: Makes Indian manufactured goods less competitive in global markets.

    What is the role of the ‘Dutch disease’ mechanism in India’s case?

    1. Conceptual framework: Explains how income windfalls distort relative prices across sectors.
    2. Indian variant: Public sector wage expansion acts as a de facto windfall similar to natural resource booms.
    3. Real exchange rate appreciation: Makes imports cheaper and exports less competitive.
    4. Manufacturing crowding-out: Reduces incentives for domestic industrial production.

    Why has technological upgrading in manufacturing remained weak?

    1. Limited productivity pressure: Firms rely on cheap labour rather than innovation.
    2. Absence of induced innovation: High wages have not translated into capital-intensive or technology-driven growth.
    3. Contrast with East Asia: China and South Korea used competitive pressures to upgrade technology.
    4. Outcome: Indian manufacturing remains trapped in low productivity equilibrium.

    How has services-led growth shaped income distribution and employment?

    1. Skewed wage growth: Benefits high-skill workers disproportionately.
    2. Inequality expansion: Concentrates income gains among elite service sector employees.
    3. Employment mismatch: Services fail to absorb surplus labour from agriculture.
    4. Structural imbalance: Weakens broad-based economic transformation.

    Why has private sector dynamism not translated into manufacturing expansion?

    1. Sectoral allocation: Private investment favours services over manufacturing.
    2. Technological complacency: Growth driven by labour abundance rather than innovation.
    3. Limited spillovers: Services growth generates fewer backward and forward linkages.
    4. Long-term constraint: Manufacturing stagnation limits sustained productivity gains.

    Conclusion

    India’s manufacturing stagnation is best understood as a structural political-economy outcome rather than a cyclical or policy-intent failure. The article demonstrates that high public sector wages, acting as an economy-wide benchmark, have raised costs, appreciated the real exchange rate, and weakened manufacturing competitiveness. Simultaneously, services-led growth has generated productivity and income gains without inducing technological upgrading or mass employment, unlike East Asian manufacturing-led transitions. In the absence of sustained productivity pressure and induced innovation, Indian manufacturing has remained trapped in a low-productivity equilibrium. Reversing this trajectory requires addressing wage–productivity mismatches, technology incentives, and structural distortions, without which manufacturing cannot play its intended role in employment generation and inclusive growth.

    PYQ Relevance

    [UPSC 2017] Account for the failure of the manufacturing sector in achieving the goal of labor-intensive exports. Suggest measures for more labor-intensive rather than capital-intensive exports. 

    Linkage: The article directly explains manufacturing failure through public sector wage distortions, weak technological upgrading, real exchange rate appreciation, and services-led growth. This offers a structural political-economy explanation to this question.

  • The great wall in the North: Why the Aravallis matter

    Introduction

    The Aravalli range, dating back over a billion years to the Precambrian era, stretches approximately 700 km across Gujarat, Rajasthan, Haryana, and Delhi. Despite being one of the most degraded mountain systems in India, it remains central to water security, climate regulation, biodiversity conservation, and livelihood support in north and north-western India. The current policy moment exposes tensions between mineral exploitation, urbanisation, and ecological protection.

    Why in the News

    The Aravalli range has returned to public debate following a new definition notified by the Centre in October 2023, subsequently accepted by the Supreme Court in November, which excludes nearly 90% of the Aravalli landscape from protection against mining and development. This marks a sharp departure from earlier judicial and administrative approaches, which treated large parts of the range as ecologically sensitive regardless of formal forest classification.

    How extensive is the Aravalli range and why does its geography matter?

    1. Spatial spread: Extends across four states and 37 districts, underscoring inter-state ecological interdependence.
    2. Length and distribution: Covers about 700 km, with 560 km located in Rajasthan alone, indicating uneven conservation pressures.
    3. Topographical role: Forms a physical barrier separating the Thar Desert from the Indo-Gangetic plains, limiting eastward sand movement.

    Why are the Aravallis described as a natural sand and climate barrier?

    1. Desertification control: Blocks desert sand from advancing into Delhi, Haryana, and western Uttar Pradesh, reducing dust storms and land degradation.
    2. Air quality protection: Prevents sand ingress that worsens air pollution episodes in urban centres such as Delhi-NCR.
    3. Climate moderation: Acts as a climatic shield for north-west India, similar in function to the Western Ghats for peninsular India.

    What role do the Aravallis play in groundwater recharge and river systems?

    1. Aquifer recharge: Rocky, fractured, and porous formations allow rainwater to percolate underground instead of surface runoff.
    2. Water security: Supports groundwater reserves for rapidly expanding urban centres such as Gurugram, Faridabad, and Sohna.
    3. River origins: Forms part of the watershed for rivers flowing into both the Arabian Sea and the Bay of Bengal, including tributaries linked to the Chambal system.

    How does the Aravalli ecosystem support biodiversity and wildlife?

    1. Habitat diversity: Supports dry deciduous, semi-arid, and savanna ecosystems, enabling species adaptation in arid conditions.
    2. Protected areas: Hosts 22 wildlife sanctuaries, with 16 in Rajasthan alone.
    3. Tiger reserves: Includes Ranthambore, Sariska, and Mukundra, three of India’s critical tiger landscapes.
    4. Species presence: Supports fauna such as leopard, sloth bear, hyena, jackal, desert fox, and diverse avifauna.

    What human activities are driving the degradation of the Aravallis?

    1. Mining and quarrying: Extensive legal and illegal extraction of stone and minerals, weakening hill structures.
    2. Deforestation: Reduces soil stability and accelerates erosion.
    3. Urbanisation: Expansion of cities like Gurugram and Alwar encroaches on hill systems and recharge zones.
    4. Ecological fragmentation: Creation of at least 12 major gaps in the range, enabling desert sand movement eastwards.

    Why has the new Aravalli definition triggered concern?

    1. Regulatory dilution: Redefines Aravallis largely based on elevation and revenue records, excluding large ecologically active areas.
    2. Protection rollback: Removes mining and development restrictions from nearly 90% of the range.
    3. Ecological risk: Weakens safeguards for groundwater recharge zones and wildlife corridors.
    4. Governance gap: Shifts focus from ecosystem function to narrow land classification criteria.

    Conclusion

    The Aravalli range functions as a critical ecological infrastructure for northern India by regulating desert expansion, sustaining groundwater recharge, and supporting biodiversity across a densely populated region. The ongoing degradation of the range, driven by mining, deforestation, and regulatory dilution, undermines these life-supporting functions and amplifies risks of desertification, water stress, and ecological fragmentation. Ensuring landscape-level protection of the Aravallis is therefore essential not merely for environmental conservation, but for long-term economic resilience and human security in north and north-western India.
    PYQ Relevance

    [UPSC 2020] The process of desertification does not have climatic boundaries. Justify with examples.

    Linkage: This question is relevant to GS-I (Physical Geography) as it examines desertification as a geomorphological and environmental process driven by both climatic and anthropogenic factors. The Aravalli degradation exemplifies how mining, deforestation, and urbanisation enable desert expansion beyond arid climatic zones, validating the non-climatic spread of desertification.

  • Long-billed Vulture 

    Why in the News?

    The Bombay Natural History Society, along with the Maharashtra Forest Department, successfully tagged 15 long billed vultures at Melghat Tiger Reserve to support conservation and tracking efforts.

    About Long-Billed Vulture

    • An Old World vulture native to the Asian region
    • Also called Indian long billed vulture due to its elongated beak
    • Medium sized, bulky scavenger feeding mainly on animal carcasses
    • Females are smaller than males

    Habitat and Distribution

    • Found in savannas and open landscapes
    • Common near villages, towns, and cultivated areas
    • Native to India, Pakistan, and Nepal

    Conservation Status

    • IUCN Red List: Critically Endangered
    • Population decline mainly linked to diclofenac poisoning, habitat loss, and food scarcity
    Vultures which used to be very common in Indian countryside some years ago are rarely seen nowadays. This is attributed to: (2016)

    (a) the destruction of their nesting sites by new invasive species 

    (b) a drug used by cattle owners for treating their diseased cattle 

    (c) scarcity of food available to them 

    (d) a widespread, persistent and fatal disease among them

  • Samudra Pratap

     Why in the News?

    The Indian Coast Guard inducted Samudra Pratap, the first indigenously built Pollution Control Vessel (PCV), under the 02 PCV project of Goa Shipyard Limited.

    About Samudra Pratap

    • First indigenously designed and built Pollution Control Vessel of the Indian Coast Guard
      • Largest ship in the ICG fleet
      • Built to enhance marine pollution response, firefighting, and high-precision operations

    Advanced Onboard Systems

    • Integrated Bridge System (IBS)
      • Integrated Platform Management System (IPMS)
      • Automated Power Management System (APMS)
      • High capacity external firefighting system

    Prelims Pointers

    • Samudra Pratap is a Pollution Control Vessel, not an offshore patrol vessel
      • Built by Goa Shipyard Limited
      • First ICG ship with Dynamic Positioning DP 1
      • Focused on pollution response and firefighting, not combat dominance
    Which one of the following is the best description of ‘INS Astradharini’, that was in the news recently? (2016)

    (a) Amphibious warfare ship 

    (b) Nuclear-powered submarine 

    (c) Torpedo launch and recovery vessel 

    (d) Nuclear-powered aircraft carrier

  • K 4 Missile  

    Why in the News?

    India successfully tested the K 4 submarine launched ballistic missile from INS Arighaat in the Bay of Bengal, strengthening its sea based nuclear deterrence.

    About K 4 Missile

    • Also known as Kalam 4 (K 4)
      • Nuclear capable intermediate range submarine launched ballistic missile (SLBM)
      • Designed mainly for deployment on Arihant class submarine
      • Indigenously developed by Defence Research and Development Organisation
    • Each Arihant class submarine can carry four K 4 missiles

    Key Features

    • Length about 12 metres
      • Weight around 17 tonnes
      • Two stage solid fuel propulsion system
      • Maximum range around 3,500 km
      • Payload capacity up to 2 tonnes, including nuclear warhead

    Prelims Pointers

    • K 4 is an SLBM, not a cruise missile
      • Operates from nuclear powered submarines
      • Uses NavIC for navigation support
      • Part of India’s indigenous strategic weapons programme
    Consider the following statements: (2023)

    1. Ballistic missiles are jet-propelled at subsonic speeds throughout their flights, while cruise missiles are rocket-powered only in the initial phase of flight. 

    2. Agni-V is a medium-range supersonic cruise missile, while BrahMos is a solid-fuelled intercontinental ballistic missile. 

    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

  • The upskilling gap: why women risk being left behind by AI

    Introduction

    As India moves toward an AI-intensive economic model, access to time for learning and self-development has become a decisive factor in labour market outcomes. Time Use Survey (2019) data reveals that working women in India spend 10 hours less per week on self-development than men, primarily due to disproportionate unpaid care responsibilities. This time deficit risks excluding women from AI-enabled productivity gains, reinforcing occupational segregation and low-wage employment.

    Why in the News?

    The article highlights a first-order structural risk: while AI adoption accelerates, women’s ability to upskill is constrained by time poverty rather than lack of intent or capability. This marks a departure from earlier debates that focused on access to education or labour participation. The scale of the issue is substantial, women work longer total hours per day than men (9.6 vs 8.6 hours) when paid and unpaid work are combined. Yet, women lose out on rest, leisure, and learning time. This creates a persistent disadvantage in an economy increasingly driven by algorithmic efficiency and skill intensity.

    What does India’s Time Use Data reveal about gendered work patterns?

    1. Combined Workload: Working women spend 9.6 hours/day on paid and unpaid work compared to 8.6 hours/day for men.
    2. Unpaid Care Work: Women undertake nearly double the unpaid work of men, especially in childcare, eldercare, cooking, and cleaning.
    3. Age-Specific Burden: The gender gap peaks in the 30-39 age group, coinciding with prime career years and child-rearing responsibilities.

    Why does unpaid work translate into an upskilling disadvantage?

    1. Time Deficit: Women spend 10 fewer hours per week on self-development activities than men.
    2. Opportunity Cost: Reduced time for skill acquisition limits transition to high-value, AI-complementary roles.
    3. Cumulative Effect: Persistent time poverty compounds across years, reinforcing occupational stagnation.

    How does AI intensify existing labour market inequalities for women?

    1. Algorithmic Bias: AI performance metrics penalise career breaks and irregular work histories.
    2. Occupational Traps: Women are overrepresented in low-paid, automation-prone jobs and unpaid family work.
    3. Invisible Labour: Care work remains uncaptured by productivity metrics, excluding women from AI-led recognition systems.

    Why are women more vulnerable to exclusion from AI-led productivity gains?

    1. Skill Transition Barriers: AI rewards continuous learning, which women lack time to pursue.
    2. Sectoral Segregation: Women’s concentration in informal and care-intensive sectors limits AI exposure.
    3. Labour Force Exit: Over 40% of women outside the labour force cite household responsibilities as the primary reason.

    Why is this a macroeconomic and governance challenge, not just a gender issue?

    1. Productivity Loss: Underutilisation of women’s human capital reduces aggregate growth.
    2. Demographic Dividend Risk: Exclusion of women weakens India’s long-term workforce potential.
    3. Inclusive Growth Failure: AI-led growth without gender equity risks widening income and skill inequalities.

    Policy Implications 

    1. Workplace Redesign
      1. Time Recognition: Integrates unpaid care work into productivity assessments.
      2. Flexibility: Supports hybrid work models aligned with care responsibilities.
    2. Infrastructure Support
      1. Care Services: Expands childcare, eldercare, and safe public transport.
      2. Utilities Access: Reduces time spent on water, fuel, and energy collection.
    3. Skill Policy Reorientation
      1. Time-Saving Learning Models: Encourages modular, flexible, and remote upskilling formats.
      2. Targeted AI Skilling: Prioritises women-centric AI and digital training initiatives.
    4. Budgetary Prioritisation
      1. Gender Budgeting: Aligns public expenditure with time-saving social infrastructure.
      2. Outcome Metrics: Tracks women’s skill mobility and wage progression.

    Conclusion:

    An AI-driven growth strategy that overlooks women’s time poverty and unpaid care work risks deepening structural inequalities and weakening India’s human capital base. Integrating care responsibilities into economic planning, skill policy, and public expenditure is essential to ensure that technological progress translates into inclusive, equitable, and sustainable development.

    PYQ Relevance

    [UPSC 2023] Distinguish between ‘care economy’ and ‘monetized economy’. How can care economy be brought into monetized economy through women empowerment?

    Linkage: The question addresses structural issues of inclusive growth, gender inequality, and human capital formation, which are recurring themes in GS-III (Economy) and GS-I (Society).

  • Financial Fraud Risk Indicator (FRI)

    Why in the News?

    The Department of Telecommunications has reported that the Financial Fraud Risk Indicator (FRI) has prevented potential losses of about ₹660 crore across the banking ecosystem within six months of its rollout.

    What is Financial Fraud Risk Indicator (FRI)?

    • A risk based early warning system to detect financial fraud
    • Launched in May 2025
    • Developed by the Digital Intelligence Unit
    • Classifies mobile numbers based on likelihood of financial fraud

    Risk Categories Under FRI

    • Medium Risk
    • High Risk
    • Very High Risk

    Data Sources Used for Classification

    • Indian Cybercrime Coordination Centre via National Cybercrime Reporting Portal
    • DoT’s Chakshu platform
    • Intelligence shared by banks and financial institutions

    How FRI Works

    • Suspected mobile number is flagged by any stakeholder
    • Number undergoes multidimensional risk analysis
    • Classified into Medium, High, or Very High fraud risk
    • Risk status shared instantly with stakeholders through DoT’s Digital Intelligence Platform (DIP)

    Role of Mobile Number Revocation List (MNRL)

    • Issued regularly by DoT’s Digital Intelligence Unit
    • Contains numbers disconnected due to:
    • Cybercrime involvement
    • Failed verification
    • Exceeding permissible usage limits
    • Such numbers are frequently reused for financial fraud

    Why FRI is Effective?

    • Fraudulent numbers are often short lived
    • Traditional verification takes time
    • FRI provides preemptive risk signalling before losses occur

    Use by Banks and Financial Institutions

    • Decline suspicious transactions
    • Delay high risk transactions
    • Send alerts and warnings to customers
    • Strengthen UPI and digital payment security

    Prelims Pointers

    • FRI is a preventive tool, not a law enforcement mechanism
    • Operates in real time
    • Enhances coordination between telecom and financial sectors
    • Supports secure digital payments ecosystem

    Which of the following is a most likely consequence of implementing the ‘Unified Payments Interface (UPI)’? (2017)

    (a) Mobile wallets will not be necessary for online payments

    (b) Digital currency will totally replace physical currency

    (c) FDI inflows will drastically increase

    (d) Direct transfer of subsidies… will become very effective.

  • GhostPairing Cyber Attack

    Why in the News?

    The Indian Computer Emergency Response Team has issued an advisory warning WhatsApp users about a new cyber attack technique called GhostPairing.

    What is GhostPairing?

    • GhostPairing is a WhatsApp account takeover attack
    • Hackers secretly link their own device to a victim’s WhatsApp account
    • No password theft or SIM swap is required
    • Victim often remains unaware of the compromise
    • Gives attackers near complete access to chats and data

    How GhostPairing Works (Modus Operandi)?

    • Victim receives a message from a trusted contact saying “Hi, check this photo”
    • Message contains a malicious link with Facebook style preview
    • Link opens a fake Facebook photo viewer
    • User is prompted to “verify” to view content
    • Victim enters phone number and pairing code
    • Attackers use the code to link their device
    • Full WhatsApp access is granted to attackers

    Advisory and Preventive Measures

    • Do not click suspicious links even from known contacts
    • Never share WhatsApp verification or pairing codes
    • Regularly check Linked Devices in WhatsApp settings
    • Enable two step verification
    • Log out unknown linked devices immediately

    Prelims Pointers

    • GhostPairing exploits human trust, not software vulnerability
    • Uses social engineering and fake web interfaces
    • CERT In is the nodal agency for cyber security advisories in India
    • Linked device feature can be misused if verification codes are shared

    The terms ‘Wanna Cry, Petya and Eternal Blue’ sometimes mentioned in the news recently are related to: (2018)

    (a) Exo-planets 

    (b) Crypto-currency 

    (c) Cyber attacks 

    (d) Mini satellites

  • Aluminium Contamination in Kuttanad Paddy Fields

    Why in the News?

    Soil tests in Kuttanad, known as the rice bowl of Kerala, show aluminium levels far above safe limits, threatening paddy cultivation and farmer livelihoods.

    Key Findings

    • Aluminium concentration: 77.51 to 334.10 ppm
    • Safe limit for rice cultivation: 2 ppm
    • Present levels are 39 to 165 times higher than permissible limits
    • Samples collected from 12 paddy fields

    Cause of Contamination

    • Increasing soil acidity (increasing aluminium solubility)
    • Aluminium becomes toxic when soil pH falls below 5
    • Aluminium availability increases tenfold with each unit drop in pH

    Impact on Crops

    • Damage to plant root systems
    • Reduced absorption of nutrients: phosphorus, calcium, potassium, magnesium
    • Iron toxicity also increases in acidic soils
    • Decline in paddy yield

    Threat to Livelihood

    • Risk to small and marginal farmers
    • Direct impact on Kerala’s food security
    • Described as a grave environmental imbalance

    Prelims Pointers

    • Aluminium toxicity is linked to acidic soils, not alkaline soils
    • Liming reduces aluminium solubility
    • Kuttanad is a below sea level, wetland rice ecosystem
    • Soil health directly affects nutrient uptake and crop productivity

    What can be the impact of excessive/inappropriate use of nitrogenous fertilizers in agriculture? (2015)

    1. Proliferation of nitrogen-fixing microorganisms in soil can occur. 

    2. Increase in the acidity of soil can take place. 

    3. Leaching of nitrate to the ground-water can occur. 

    Select the correct answer using the code given below. 

    (a) 1 and 3 only (b) 2 only (c) 2 and 3 only (d) 1, 2 and 3