Crest Learning UPSC

➡️Restoring Balance in Copyright Law in the Age of AI The rapid expansion of Artificial Intelligence has intensified the debate between copyright protection and innovation freedom. India must recalibrate its copyright framework to balance creator incentives with technological growth. 👉1. What is Copyright Maximalism? Copyright Maximalism refers to continuous expansion in: • Duration – India: Life + 60 years (Copyright Act, 1957) • Scope – Covers literary, artistic, films, sound recordings • Enforcement – Civil + criminal liability Historical Comparison: • Statute of Anne (1710) → 14 years protection • Today → 60–70 years post-death globally Inference: Protection period has expanded over fourfold, shrinking the Public Domain. 👉2. Core Conflict: AI vs Copyright AI systems require: • Large-scale web crawling • Text and Data Mining (TDM) • Training on massive datasets Legal Issue in India: • No explicit TDM exception under Section 52 (Fair Dealing). • AI training may technically amount to reproduction. Impact: • Legal uncertainty • Risk of litigation • High compliance cost for startups Data: • IndiaAI Mission – ₹10,000+ crore allocation • Digital economy projected at $1 trillion by 2030 • AI sector growing at ~25–35% CAGR Rigid copyright may hinder this growth trajectory. 👉3. Comparative International Position European Union (2019 Directive): • Allows TDM for research purposes. Japan: • Broad AI exception – machine use allowed if not for expressive enjoyment. Singapore (2021 reform): • Flexible data-mining clause. India: • No dedicated AI or TDM exception. Result: India appears relatively restrictive 👉4. Constitutional & Policy Dimension Balancing three constitutional principles: • Article 19(1)(a) – Freedom of expression • Article 21 – Right to education & access to knowledge • Article 300A – Property rights (IPR included) Supreme Court (Entertainment Network v Super Cassettes, 2008): Copyright must balance public interest and private monopoly. National IPR Policy (2016): Emphasises innovation, entrepreneurship, and public interest. 👉5. Risks of Over-Protection • Concentration of power in large publishers • Barriers for AI startups and researchers • Reduced knowledge diffusion • Slower technological development Historical Lesson: Every major technological shift (printing press, photography, internet) initially disrupted industries but later expanded economic opportunities. WAY FORWARD 1. Introduce clear Text & Data Mining exception in Copyright Act. 2. Clarify AI training as non-expressive mechanical use. 3. Expand open-access public datasets. 4. Ensure protection against commercial exploitation. 5. Align copyright reform with Digital India and AI Mission goals CONCLUSION India stands at a pivotal moment where copyright law must evolve alongside AI. A calibrated, flexible regime can simultaneously safeguard creators and foster innovation.

➡️The Supreme Court’s direction to examine recognition of “racial slur” as a hate crime raises questions of constitutional equality, criminal jurisprudence, and India’s international obligation 👉1. Magnitude of the Problem (Data-Backed) • NCRB does not classify “hate crime” separately → institutional invisibility. • 6,401 cases (2022) under promoting enmity show communal/identity tensions. • Repeated incidents involving North-Eastern citizens (Delhi, Bengaluru, Noida). • Parliamentary replies have acknowledged racial attacks on NE citizens. Insight: Absence of data ≠ absence of crime; rather indicates structural under-recognition. 👉2. Legal Gap Analysis Existing Laws: • BNS provisions on promoting enmity • Criminal intimidation • SC/ST Act (identity-based aggravated punishment) Gap: • No statutory definition of hate crime. • No enhanced punishment for bias-motivated violence (except caste-based). • No racial aggravation clause like UK’s Crime and Disorder Act, 1998. Comparative Insight: US Federal Law (Matthew Shepard Act, 2009) enhances penalties if crime motivated by race/ethnicity. 👉3. Constitutional Dimension Substantive Equality vs Formal Equality: Formal equality → Same law for all. Substantive equality → Extra protection for vulnerable groups. SC/ST Act shows India already follows substantive equality model. Dr. B.R. Ambedkar: “Equality may be a fiction but nonetheless one must accept it as a governing principle.” 👉4. Supreme Court’s Caution (Institution balance) CJI Surya Kant warned: • Identity-based crime classification may deepen social divisions. • 75 years after Independence, law must unify citizens. • Risk of excessive criminal categorisation. This reflects judicial restraint and deference to legislature. 👉5. Governance & Security Dimension • Internal Security: Racial targeting can trigger regional alienation. • National Integration: Impacts Act East Policy narrative. • Urbanisation: 35%+ urban population (Census 2011; projected 40%+) increases diversity-based WAY FORWARD 1. Implement Bezbaruah Committee recommendations. 2. NCRB to create hate crime sub-category. 3. Amend BNS to introduce “bias-motivated aggravation clause”. 4. Police reforms (Second ARC recommended sensitisation for social harmony). 5. Community integration programmes in metros. CONCLUSION The issue is not about fragmenting criminal law but about recognising structural discrimination. A calibrated legislative response can uphold fraternity without undermining equality.

19 feb……👇

➡️Snowball Earth During the Cryogenian Period (720–635 million years ago), Earth is believed to have experienced extreme glaciation, with ice possibly covering even tropical regions. This condition is called “Snowball Earth.” Earlier, scientists assumed that if the planet was almost entirely frozen, the climate system would become largely inactive because ocean–atmosphere interactions would weaken. However, a recent study analysing 2,640 annual sediment layers (varves) from the Port Askaig Formation in Scotland found evidence of continued climate variability. The thickness of these layers showed cycles matching: • 9–11 years → Sunspot cycle • 60–150 years → Gleissberg solar cycle • 2–5 years → Short-term variability similar to El Niño This suggests that even during global glaciation, Earth’s climate system remained dynamic and influenced by solar activity. In essence: Snowball Earth was not completely climatically “still”; even under extreme ice cover, natural climate cycles continued to operate.

➡️AI Mission 2.0 AI Mission 2.0 is the expansion phase of India’s national AI programme, approved in 2024 with a ₹10,372 crore outlay. Its core aim is to strengthen India’s AI research and computing capacity. • Addition of 20,000 GPUs The government will add 20,000 Graphics Processing Units (GPUs) to its public “common compute” infrastructure within ~6 months. → GPUs are essential for training advanced AI models (LLMs, medical AI, predictive systems). • Common Compute Model A government-funded shared high-performance computing cluster accessible to startups, researchers, and universities. → Reduces high capital cost of AI infrastructure and democratises access. • Shift to R&D Phase Mission 2.0 moves from infrastructure creation to deeper AI research, indigenous model development, and innovation diffusion. • Strategic Importance AI leadership depends on compute power, currently dominated by US and China. → Expansion reduces dependence on foreign cloud providers and strengthens technological sovereignty. • Policy Linkages Aligned with Digital Public Infrastructure model, Semiconductor Mission, and Digital Personal Data Protection Act, 2023. In essence: AI Mission 2.0 strengthens India’s AI backbone by expanding shared GPU capacity, enabling indigenous AI development, and positioning India competitively in the global AI race.

➡️SAHI & BODH – Strengthening India’s Health AI Ecosystem India has launched SAHI (Secure AI for Health Initiative) and BODH (Benchmarking Open Data Platform for Health AI) to institutionalise safe, ethical, and evidence-based AI deployment in healthcare. The move aligns with India’s push toward a data-driven public health architecture. 👉1. Policy & Institutional Context • National Health Policy (2017) Called for a fully interoperable digital health ecosystem. → SAHI operationalises this vision through AI governance standards. • Ayushman Bharat Digital Mission (ABDM), 2020 Created digital public infrastructure — ABHA IDs, Health Facility Registry, DigiDoctor registry. → Over 50 crore ABHA IDs created (MoHFW data). → Provides large anonymised datasets critical for AI training. • IndiaAI Mission (2024 Budget Allocation: ₹10,372 crore) Signals strategic national priority for AI ecosystem development. Enrichment: Digital Public Infrastructure (DPI) model — similar to UPI success — now extended to health AI. 👉2. SAHI – Governance & Ethical Framework • National Roadmap for Responsible AI in Health Moves beyond pilot projects to structured regulation. • Focus on Safety, Transparency & Accountability Ensures compliance with Digital Personal Data Protection Act, 2023. • Evidence-Based Deployment AI tools must demonstrate clinical validation before adoption in public systems. • Alignment with Global Standards Reflects WHO’s 2021 guidance on Ethics & Governance of AI for Health. Value Addition: AI in radiology and TB screening already used in India — governance ensures accuracy and bias mitigation. 👉3. BODH – Benchmarking & Validation Platform • Structured Evaluation Mechanism Tests AI tools for accuracy, reliability, bias, and scalability before rollout. • Performance Metrics & Real-World Readiness Prevents premature deployment of unvalidated AI models. • Open Data & Collaboration Government–academia partnership promotes innovation while maintaining oversight. • Reduces Algorithmic Bias India-specific datasets ensure AI reflects demographic diversity. Insight: Without benchmarking, AI risks diagnostic errors and legal liabilities in public health systems. 👉4. Strategic Significance • Strengthens Health System Efficiency AI can reduce diagnostic turnaround time and augment doctor shortages (India has ~1 doctor per 834 people; WHO norm 1:1000). • Boosts Global Health AI Positioning India among fastest-growing digital health markets (projected $37 billion by 2030, industry estimates). • Enhances Public Trust in AI Transparent validation reduces ethical and safety concerns. • Supports Universal Health Coverage (UHC) AI-driven telemedicine and disease surveillance improve rural outreach. 👉Way Forward • Establish independent AI audit authority within health regulator. • Integrate SAHI standards into Medical Council & CDSCO approval norms. • Expand indigenous anonymised datasets with strong privacy safeguards. • Promote regulatory sandboxes for startups under BODH framework. Conclusion SAHI and BODH represent a shift from experimental AI adoption to institutionalised, accountable health-tech governance. Their success will determine whether India becomes a global leader in trustworthy health AI.

➡️1946 Royal Indian Navy (RIN) Revolt The RIN Revolt (18–23 February 1946) was a large-scale uprising by Indian naval ratings against British authority. Though termed a “mutiny,” it reflected broader nationalist unrest in the final phase of colonial rule. 👉1. Causes (Why did it happen?) • Service-Related Grievances Ratings at HMIS Talwar protested against poor food quality, low wages, and racist abuse by British officers. → Immediate trigger was humiliation by a British commander. • Political Radicalisation after INA Trials (1945) Public sympathy for INA soldiers created nationalist consciousness within armed forces. → Ratings saw themselves as part of anti-colonial struggle. • Post-War Economic Hardship WWII inflation and uncertainty about future employment increased frustration among servicemen. • Racial Hierarchy in Armed Forces Indians faced limited promotions and discriminatory treatment. → Highlighted structural inequality in colonial military system. 👉2. Nature & Spread (How did it unfold?) • Initial Hunger Strike (18 Feb 1946) ~1,100 ratings in Bombay began strike demanding better conditions and release of INA prisoners. • Rapid Expansion Across India Spread to 78 ships and 20 shore establishments; ~20,000 ratings involved. → Centres: Bombay, Karachi, Madras, Calcutta, Visakhapatnam, Andamans. • Formation of Naval Central Strike Committee Led by M.S. Khan and Madan Singh. → Provided organisational structure and articulated political demands. • Civilian Participation in Bombay Textile mill workers, students, and railway workers joined; city witnessed strikes and barricades. → Movement transcended military barracks. • Symbol of Communal Unity Congress, Muslim League, and Communist flags hoisted together. → Rare Hindu-Muslim solidarity despite rising communal tensions (post-1945). 👉3. British Response (How was it suppressed?) • Heavy Military Deployment British used troops, tanks, and naval ships to encircle rebel ships. • Violent Suppression Street firing in Bombay led to ~200 civilian deaths; hundreds injured. • Political Mediation Sardar Patel (Congress) advised ratings to surrender to prevent escalation. → National leadership did not fully endorse armed insurrection. • Surrender (23 Feb 1946) Ratings laid down arms; demands largely unmet. 👉4. Significance (Why is it important?) • Collapse of Military Reliability British realised loyalty of Indian armed forces could no longer be guaranteed. • Impact on British Decision-Making Along with INA trials and Air Force strikes, it accelerated transfer of power discussions. • Part of Wider 1945–46 Unrest Reflected growing mass dissatisfaction across services and civilian sectors. • Short-Lived Unity before Partition Moment of cross-communal solidarity soon overshadowed by 1946–47 communal violence. Historiographical Insight: Seen as spontaneous and militant but lacking central political direction, limiting its long-term impact. Conclusion The RIN Revolt marked a critical turning point in late colonial India, revealing that British authority had weakened even within the armed forces. It remains a powerful yet under-acknowledged episode in India’s freedom struggle.

➡️Women in AI Worldwide • 30% Representation Only about 30% of AI professionals globally are women (UN Women). • 16% in AI Research Roles Even lower participation in core research positions, where design and decision-making occur. • Implication: Risk of Algorithmic Bias Low female participation may lead to AI systems that inadequately reflect women’s needs in health, finance, climate resilience, and safety. • Structural Gap in STEM Pipeline Despite rising STEM education participation, women remain underrepresented in advanced tech and AI leadership roles. • STEM Pipeline Gap UNESCO: Women represent ~35% of STEM graduates globally, but lower in advanced tech domains. • Policy Need Greater inclusion is essential for ethical AI development, innovation quality, and gender-responsive technology governance. Conclusion The gender gap in AI is not just a workforce issue but a governance and equity challenge that directly shapes how future technologies impact society.

➡️India is the world’s 3rd-largest aviation market, yet its regulatory oversight remains reactive rather than data-driven. The recent fare surge episode highlights the urgent need for institutionalised market monitoring mechanisms. 👉1. Context: Why Reform is Needed • IndiGo Operational Crisis (Dec 2025) Led to nationwide fare surge → triggered temporary fare caps. → Indicates absence of real-time competition monitoring. • Reactive Regulation DGCA & Ministry imposed temporary price caps instead of systemic oversight. → Short-term consumer protection, long-term structural gap remains. • Market Concentration Risks IndiGo holds ~60% domestic market share (approx). → High concentration increases risk of price dominance. Value Addition: Competition Commission of India (CCI) sought fare data → reflects antitrust concerns. 👉2. Core Problem: Lack of Data Architecture • DGCA’s Limited Role Primarily tracks passenger volumes & safety, not pricing behaviour. • Absence of Transaction-Level Data No consistent database of actual fares paid across routes. • Difficulty in Distinguishing Legitimate demand-driven price rise vs abuse of dominance. Concept: Without longitudinal pricing data, regulators cannot detect algorithmic or tacit collusion. 👉3. International Best Practice – U.S. Model • Bureau of Transportation Statistics (BTS) Maintains Airline Origin & Destination Survey (DB1B database). • 10% Random Ticket Sample Collects real transaction-level fare data quarterly since 1995. • Digital Trail Creation Allows study of competition, entry-exit impact, and price dispersion. Example: “Southwest Effect” – Entry of Southwest Airlines led to fare reduction and traffic growth. Enrichment: Over 30 years of public fare data available → strengthens research and antitrust enforcement. 👉4. How Data Improves Market Discipline • Route-Level Fare Comparison Monopoly routes vs competitive routes reveal pricing power. • Entry-Exit Analysis Fare spikes after competitor exit signal dominance. • Peak Demand Behaviour Monitoring Excessive surge pricing may indicate market leverage. • Algorithmic Self-Regulation Transparency encourages airlines to embed compliance guardrails. Insight: Transparency acts like a “speed camera” — not punitive by default but deterrent. 👉5. Addressing Industry Concerns • Protection of Proprietary Algorithms 10% sampling monitors “what” (price), not “how” (code logic). • Risk of Collusion via Transparency Quarterly data release reduces real-time alignment risk. • Minimal Compliance Burden Limited dataset reduces technical load on airlines. 👉6. Implications for India • Shift from Ad Hoc Price Caps to Data-First Regulation Move from crisis management to preventive governance. • Strengthening CCI & DGCA Coordination Integrate competition economics into aviation oversight. • Enhancing Consumer Welfare Lower risk of exploitative pricing during emergencies. • Improving Market Efficiency Data transparency reduces information asymmetry. Data Insight: India’s aviation sector expected to handle over 500 million passengers annually by 2030 (MoCA projections). Oversight must scale accordingly. Way Forward • Establish Indian Aviation Fare Database (IAFD) with 10% sampling. • Expand DGCA mandate to include market analytics division. • Integrate CCI competition tools with aviation regulation. • Use AI-based anomaly detection for surge pricing patterns. • Publish periodic transparency reports for accountability. Conclusion As India’s aviation market expands, regulatory capacity must evolve from reactive control to analytical supervision. Data-driven oversight is essential to balance competition, consumer welfare, and market efficiency.

➡️The post-1945 liberal international order was built to restrain power through law and institutions. Today, rising geopolitics and weakened multilateralism signal a shift toward a more power-centric global order. 👉1. Foundations of the Rules-Based Order • UN Charter (1945) Established principles of sovereign equality and non-aggression to prevent another world war. → Article 2(1): Legal equality of all states. • Collective Security Mechanism UNSC empowered to maintain peace under Chapter VII. → Designed to replace balance of power with shared security responsibility. • Multilateral Institutions (IMF, World Bank, WTO, WHO) Created to manage finance, trade, development, and health collectively. → Example: WTO dispute settlement ensured rule-based trade until 2019 paralysis. • Liberal Economic Interdependence Trade openness reduces war incentives (Commercial Peace Theory). → Global trade rose from ~20% of global GDP (1960) to ~60% (pre-2008). Value Addition: San Francisco Conference institutionalised this cooperative framework after WWII devastation. 👉2. Signs of Erosion • Unilateralism & Withdrawal Politics Major powers bypass institutions when inconvenient. → US blocked WTO Appellate Body appointments (2019). • Weaponisation of Trade & Technology Sanctions, export controls, supply chain decoupling. → US-China semiconductor restrictions reflect techno-strategic rivalry. • UNSC Veto Paralysis Frequent veto use weakens collective security credibility. → Ukraine conflict exposed limitations of UNSC action. • Rising Military Expenditure Global spending crossed $2.2 trillion (SIPRI). → Indicates return of hard power politics. • Fragmentation into Minilateralism Rise of Quad, AUKUS, BRICS expansion. → Issue-based coalitions replacing universal multilateralism. 👉3. Structural Causes • Outdated Power Distribution UNSC P5 reflects 1945 realities, not emerging powers (India, Africa absent). → Africa has 54 nations but no permanent representation. • Shift to Multipolarity Decline of unipolar US dominance; rise of China. → China now contributes ~18% of global GDP (PPP higher). • Decline in Norm Compliance Selective application of international law reduces legitimacy. → International law increasingly contingent on power balance. • “Problems Without Passports” (Kofi Annan) Climate change, pandemics, cyber threats transcend borders. → COVID-19 exposed gaps in coordinated response. 👉4. Consequences • Erosion of Global Public Goods Provision Climate finance gap: Developed nations failed $100 billion annual pledge (initial delay). • Proliferation of Regional Conflicts Instead of world war, multiple sustained regional wars. • Balance of Power Revival Return to realist geopolitics over liberal institutionalism. • Legitimacy Crisis of Institutions Institutions exist legally but lack enforcement capacity without political will. Quote: “The UN was not created to take mankind to heaven, but to save humanity from hell.” – Dag Hammarskjöld 👉5. Implications for India • Strategic Autonomy 2.0 Flexible engagement in multipolar system. • Advocacy of Reformed Multilateralism India pushes UNSC reform and Global South inclusion. • G20 Leadership & Global South Voice India emphasised inclusive development and climate justice. • Balancing Major Powers Simultaneous engagement with US (Quad) and BRICS partners. Way Forward • UNSC & WTO Reform for legitimacy restoration. • Strengthening International Law Compliance Mechanisms. • Complementing Multilateralism with Responsible Minilateralism. • Reviving Trust Through Confidence-Building Measures. Conclusion The global order is undergoing structural transition, not sudden collapse. The central challenge is ensuring that power remains moderated by rules rather than replacing them.

18 feb……👇

➡️Lake Suwa (Japan) & Climate Change Location • Lake Suwa, Nagano Prefecture, central Japan. • Mountain lake in Honshu Island. What is “Omiwatari” (God’s Crossing)? • Traditional Shinto belief of a deity crossing the frozen lake. • Occurs when: • Lake freezes fully. • Ice cracks form a raised ridge due to temperature fluctuations. • Requires several consecutive days below –10°C. Historical Data • Records maintained since 1443 (over 500 years). • Event has not appeared since 2018. • 2024–25 winter again failed to produce full freeze. Climate Significance • Rising winter temperatures preventing full freezing. • Indicates regional warming trend. • Lake ice acts as a long-term climate proxy indicator. Core Insight The disappearance of Omiwatari reflects measurable warming trends and highlights how traditional ecological events provide scientific evidence of climate change.

• Unemployment Rate: % of labour force actively seeking work but unemployed. • LFPR: % of working-age population either working or seeking work. • WPR: % of working-age population employed. 🔹A fall in LFPR with rising unemployment may indicate labour market stress. 1️⃣ Employment Elasticity Concern Economic growth not translating proportionately into jobs → “Jobless Growth” debate.

➡️NPCI Extends ‘UPI One World’ to AI Summit Visitors What is the Update? • NPCI extended the UPI One World wallet facility to foreign visitors from 40+ countries attending the India AI Impact Summit 2026 (Feb 16–20, New Delhi). • Enables seamless Person-to-Merchant (P2M) real-time UPI payments in India. What is UPI One World? • A special prepaid digital wallet for inbound international travellers. • Allows foreign visitors to: • Load money • Make QR-based UPI payments • Does not require Indian bank account. Context & Data • UPI processes billions of transactions monthly (globally recognised as largest real-time payment system). • India is exporting UPI infrastructure to countries like: • Singapore • UAE • France • Sri Lanka • UPI internationalisation part of India’s digital public infrastructure (DPI) model. Significance 1️⃣ Digital Diplomacy • Enhances India’s fintech soft power. • Strengthens India’s role as global DPI leader. 2️⃣ Tourism & Ease of Doing Business • Simplifies payments for foreign delegates. • Promotes cashless ecosystem. 3️⃣ Financial Inclusion Model Export • UPI seen as scalable digital public good. • Aligns with G20 digital finance agenda. Strategic Insight UPI One World reflects India’s transition from being a digital adopter to a global digital infrastructure exporter, strengthening economic diplomacy and fintech leadership.

➡️Transition to Green Steel Steel is one of India’s most carbon-intensive sectors and critical to achieving Net Zero 2070. Transitioning to green steel is both a climate necessity and a strategic economic reform. 1️⃣ Why Green Steel Matters • India is the 2nd largest steel producer globally. • Imports 50+ million tonnes of coking coal annually → energy vulnerability. • EU’s Carbon Border Adjustment Mechanism (CBAM) may penalise high-carbon exports. 🔹Green steel protects export competitiveness and energy security. 2️⃣ The Green Premium – Is It Manageable? • Steel forms ~18% of large infrastructure project cost. • Even a 30% green premium increases total project cost by only ~5.5%. • Partial adoption (~20%) raises cost by just ~1.1%. 🔹Fiscal impact is limited, especially in public infrastructure. 3️⃣ Policy Measures Emerging • Green Steel Taxonomy (3–5 star rating based on emission intensity). • Public procurement as demand driver. • Alignment with PLI & Green Hydrogen Mission. Global parallels: • Japan’s Green Procurement model. • California’s Buy Clean policy. 4️⃣ Key Challenges • Certification & verification gaps. • Coordination between Steel, Finance & Environment ministries. • Need for anchor buyers (e.g., Railways, CPSEs). Conclusion Green steel is a strategic industrial transition, not just an environmental reform. Coordinated policy, procurement power, and credible certification can make the shift economically viable and globally competitive.

➡️Rebalancing India’s Financial System: Moving Risk from Banks to Markets Budget 2026 signals a structural shift in India’s financial architecture by attempting to reduce excessive reliance on banks and deepen corporate bond markets. The goal is to improve financial stability and long-term capital allocation. 👉Structural Problem: Bank-Centric Financial System 1️⃣ Overburdened Banks • Banks carry 60–65% of non-financial corporate debt in India. • In contrast: • ~30% in the U.S. • ~40% in Europe. Explanation In advanced economies, bond markets absorb long-term credit risk. In India, banks act as the primary risk bearers, increasing systemic vulnerability. 2️⃣ Weak Corporate Bond Market • Corporate bonds outstanding ≈ 15–16% of GDP. • Comparison: • U.S. ≈ 80%+ of GDP • Germany ≈ 55–60% • China ≈ 45–50% Insight Shallow bond markets mean long-term infrastructure financing depends heavily on banks. 👉Duration Mismatch & Financial Fragility 1️⃣ Asset–Liability Mismatch • Banks fund themselves through short-term deposits. • But finance long-term projects (15–20 years). Explanation This maturity transformation increases vulnerability during liquidity stress. 2️⃣ Fiscal Cost of Recapitalisation • Since 2017, government injected ₹3.2 lakh crore+ into PSBs. Insight Losses from poor credit allocation ultimately transfer to the public exchequer — a hidden fiscal burden. 👉Impact on Monetary Policy Transmission • Concentrated credit risk weakens interest rate transmission. • Banks burdened with NPAs reluctant to pass on rate cuts. Insight Deep bond markets adjust yields more smoothly across maturities, improving policy effectiveness. 👉Opportunity Cost • Capital locked in large corporate loans reduces lending to: • MSMEs • First-time borrowers • Exporters Explanation Crowding-out effect reduces financial inclusion and growth potential. 👉Budget 2026 Reform Measures 1️⃣ Market-Making Framework for Corporate Bonds • Improves secondary market liquidity. 2️⃣ Introduction of Derivatives (Total-Return Swaps, Bond-Index Derivatives) • Enables hedging of credit risk. 3️⃣ Infrastructure Risk Guarantee Fund • Partial credit guarantees to de-risk projects. 4️⃣ Expansion of REITs for CPSE Assets • Recycles capital tied in public assets. 👉Broader Economic Significance • Aligns with goal of making India a $5 trillion economy. • Essential for funding: • Infrastructure • Energy transition • Manufacturing scale-up • Supports financial resilience amid global shocks. 👉Way Forward • Strengthen institutional investor base (insurance, pension funds). • Improve bankruptcy resolution under IBC. • Reduce regulatory fragmentation. • Enhance transparency in bond issuance. Conclusion A shift from a bank-dominated model toward deeper capital markets is critical for sustainable growth. Rebalancing risk allocation will strengthen financial stability and reduce fiscal vulnerability.

Rationale: States need predictable, flexible funding to design context-specific solutions. 2️⃣ Revitalise Inter-State Council (Article 263) • Institutionalise structured consultation. Insight: Dialogue prevents adversarial federalism. 3️⃣ Respect Legislative Domains • Avoid excessive use of Concurrent List override. Explanation: Restores constitutional balance. Conclusion A structural reset in Indian federalism means right-sizing the Union and empowering States. Strong States complement, not weaken, national unity and democratic accountability.

➡️India’s Federalism: Why a Structural Reset is Needed India adopted a federal structure with a strong Union to preserve unity after Partition. However, changing economic scale (~$4 trillion GDP), political maturity, and administrative complexity now require recalibrating Centre–State relations. “Federalism is part of the Basic Structure.” — S.R. Bommai (1994) 👉Constitutional Centralisation – Design & Rationale 1️⃣ Distribution of Powers (Seventh Schedule) • Union List (~100 subjects) larger and more strategic (defence, foreign affairs, currency). • Residuary powers with Union (Article 248). Explanation: The framers feared fragmentation in a newly independent nation. Giving more powers to the Centre ensured national integration and uniform policy in critical areas. 2️⃣ Expansion of Concurrent List (42nd Amendment) • Subjects like education, forests shifted to Concurrent List. Insight: This allows Parliament to override State laws, increasing central influence in areas that were once primarily State responsibilities. 3️⃣ Emergency Provisions (Articles 352, 356, 360) • Article 356 used over 100 times historically. Explanation: Though intended as a safeguard, frequent use weakened State autonomy until judicial safeguards (Bommai case) restricted misuse. 👉Fiscal Federalism Imbalance 1️⃣ Revenue–Expenditure Mismatch • States manage health, police, agriculture, education. • Major taxation powers remain with Centre. Insight: States bear higher expenditure responsibilities but depend heavily on central transfers, reducing fiscal autonomy. 2️⃣ GST & Centralisation (101st Amendment) • States surrendered key indirect tax powers. • GST compensation ended in 2022. • Cess & surcharge (~20%+ of gross tax revenue) not shareable. Explanation: While GST promotes “One Nation, One Tax,” it increases fiscal centralisation and dependency on the GST Council. 3️⃣ Finance Commission Devolution • 15th FC recommended 41% vertical devolution. Insight: Although headline devolution appears high, growth in centrally sponsored schemes reduces States’ untied spending space. 👉Administrative Overreach & Governance Impact 1️⃣ Centrally Sponsored Schemes (CSS) • Schemes often come with rigid guidelines. Explanation: Uniform templates may ignore regional diversity (e.g., agriculture patterns differ across States). 2️⃣ Governor’s Role Controversies • Delays in assent to Bills. • Perceived political friction. Insight: Raises questions about federal neutrality and constitutional morality. 👉Judicial Safeguards & Federal Doctrine 1️⃣ S.R. Bommai (1994) • Federalism part of Basic Structure. • President’s Rule subject to judicial review. Explanation: Court acted as constitutional corrector against central misuse. 2️⃣ Cooperative Federalism Model • GST Council as example of shared decision-making. Insight: Shows consensus-based governance possible within federal framework. 👉Why Reset is Rational Today 1️⃣ Political Maturity • Rise of regional parties. • Stable democratic consolidation. Explanation: India no longer faces 1950-level integration risks; stronger States no longer imply national disunity. 2️⃣ Diversity Demands Decentralisation India has: • Agro-climatic diversity • Linguistic plurality • Economic disparities Insight: Centralised “one-size-fits-all” policies may fail in heterogeneous contexts. 3️⃣ Innovation Through States Examples: • Tamil Nadu Noon Meal Scheme → National food policy inspiration. • Kerala’s public health → Effective pandemic response. • Maharashtra EGS → Model for MGNREGA. Explanation: Federalism enables policy experimentation; successful models scale nationally. 👉Risks of Continued Centralisation • Administrative overload at Union level. • Blurred accountability (Centre designs, States implement). • Fiscal stress on States. • Erosion of local innovation. Insight: Over-centralisation weakens both Centre and States by misaligning responsibility and authority. 👉Reform Pathway 1️⃣ Strengthen Fiscal Federalism • Reduce non-shareable cess. • Increase untied transfers.