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Daily PIB Summaries

PIB Summaries 26 December 2025

Content Celebrating 25th Anniversary: Pradhan Mantri Gram Sadak Yojana (PMGSY) First-ever Santhali translation of the Constitution of India  Celebrating 25th Anniversary: Pradhan Mantri Gram Sadak Yojana (PMGSY) Why is it in News? The Pradhan Mantri Gram Sadak Yojana (PMGSY) has completed 25 years (2000–2025). As of Dec 2025: 8,25,114 km sanctioned 7,87,520 km completed (~95% progress) Phase-IV (2024–29) launched to connect 25,000 habitations via 62,500 km roads, outlay ₹70,125 crore. Increasing focus on quality assurance, digital monitoring, climate-resilient materials, and maintenance systems. Relevance GS-3 | Infrastructure, Inclusive Growth, Economy Rural infrastructure → farm productivity, labour mobility, logistics efficiency Market integration → agri-value chains, price realisation, rural industrialisation GS-3 | Agriculture & Rural Development Connectivity → input access, storage & mandi linkages Strengthening GrAMs, SHGs, rural services ecosystem Why Rural Roads Matter ? Rural roads reduce market isolation, price distortion, and transport frictions (Michael Lipton, Jeffrey Sachs). Evidence shows: 20–25% rise in agricultural incomes in newly connected villages 10–15% increase in farm-to-market sales Higher school attendance & institutional deliveries PMGSY became a poverty-reduction & mobility-led growth instrument, not just an infrastructure scheme. Evolution of PMGSY — Phases & Strategic Shifts Phase-I (2000): Universal Basic Connectivity Target: connect unserved habitations 1,63,339 habitations sanctioned Phase-II (2013): Consolidation & Upgradation Focus on economic corridors, rural markets, service centres RCPLWEA (2016): Roads in LWE-Affected Districts Coverage: 44 high-intensity LWE districts in 9 States Dual objective: security + development Phase-III (2019): Market-Link Connectivity Target: 1,25,000 km through-routes & major rural links Status (Dec 2025): 1,22,393 km sanctioned 1,01,623 km constructed (83%) Phase-IV (2024–29): Last-Mile Universalisation 62,500 km roads | 25,000 habitations Priorities: NE, Himalayas, Tribal, Aspirational & Desert regions Budgetary & Financial Snapshot FY 2025–26 allocation: ₹19,000 crore Funding model: Centre–State sharing + multilateral assistance support (ADB, WB historically) Shift towards maintenance-linked payments & lifecycle costing Technology, Monitoring & Accountability Reforms OMMAS — Real-time project & financial monitoring QMS App — Geo-tagged inspection reporting GPS-linked Vehicle Tracking (since 2022) — Prevents idle deployment e-MARG — Performance-linked maintenance payments (5-yr DLP) Three-tier Quality Monitoring: Tier-1: Implementing agencies Tier-2: State Quality Monitors Tier-3: National surprise audits Innovation, Sustainability & Climate Resilience Use of eco-materials (as per IRC standards): fly ash, slag, C&D waste, plastic waste, crumb rubber, bio-bitumen, geosynthetics 1.24 lakh km roads built using sustainable technologies (as of Jul 2025) Techniques promoted: Cold-mix, Full Depth Reclamation, green pavements Alignment with SDGs: 1, 2, 3, 9, 10, 11 Impact — Socio-Economic Outcomes Market access & price realisation improved Reduction in travel time & transaction costs Boost to non-farm rural employment Better healthcare & school access Enabled women’s mobility & labour participation Strengthened agri-value chains & logistics integration Regional & Strategic Significance Enhanced governance & mobility in: LWE regions Border & tribal belts Himalayan & NE hill terrains Acts as a force multiplier for security, welfare delivery, disaster response Gaps & Challenges Maintenance backlog in resource-constrained states Variations in construction quality across districts Land & environmental clearance delays in ecologically fragile zones Low integration with public transport & freight ecosystems Climate-induced damage risk in: flood-prone, coastal & hilly regions Way Forward  Lifecycle-based funding + ring-fenced maintenance corpus Integrate PMGSY roads with: rural logistics, e-NAM markets, SHG clusters, OD-connectivity Expand green pavement technologies & resilience standards AI-enabled predictive maintenance Strengthen citizen-audit & social audit frameworks Road-linked rural industrialisation & services corridor strategy Conclusion PMGSY has evolved from a connectivity-expansion programme to a network-consolidation, market-integration, and resilience-driven rural infrastructure mission, making it one of India’s most successful scale infrastructure interventions in 25 years. First-ever Santhali translation of the Constitution of India  Why is it in News? On 25 December 2025 (Good Governance Day), the first-ever Santhali translation of the Constitution of India was released at Rashtrapati Bhavan. Published by the Legislative Department, Ministry of Law & Justice and released by the President of India, Droupadi Murmu. Coincides with the Birth Centenary year of the Ol Chiki script (1925) developed by Pandit Raghunath Murmu. Marks a major milestone in linguistic inclusion and constitutional accessibility for tribal communities. Relevance GS-2 | Polity & Constitution Linguistic inclusion & constitutional accessibility Strengthening constitutional literacy & citizen participation Supports Articles 29–30 (cultural & educational rights) Role of Legislative Department in legal publications GS-2 | Governance & Democratic Deepening Language-based inclusion → better civic engagement Good Governance & citizen-centric administration Access to law in mother-tongue = trust in institutions Santhali Language & Constitutional Status Santhali included in the Eighth Schedule via the 92nd Constitutional Amendment Act, 2003. Written in Ol Chiki script (distinct, non-derivative script of tribal linguistic heritage). Linguistic spread: Major presence in Jharkhand, Odisha, West Bengal, Bihar Also spoken across tribal belts of eastern and central India Recognized as one of India’s ancient living tribal languages. Why This Translation Matters — Constitutional & Governance Perspective ? Enhances constitutional literacy among tribal communities. Strengthens linguistic justice and cultural dignity (Article 29 — protection of cultural rights). Supports inclusivity in governance & democratic participation. Advances principles of: Access to law in native language Participatory citizenship Decentralised constitutional awareness Institutional & Policy Significance Aligns with: Good Governance & Citizen-centric administration Tribal empowerment & inclusion agenda Eighth Schedule linguistic promotion Supports broader initiatives: Promotion of vernacular legal translations Enhancing justice delivery & legal awareness in rural/tribal regions Symbolic & Socio-Cultural Significance Major representation milestone for Adivasi identity and knowledge systems. Reinforces script-based heritage preservation (Ol Chiki). Encourages: Mother-tongue learning of civic values Inter-generational cultural continuity Deepens State–citizen relationship in tribal regions through language inclusion. Comparative Governance Lens   Democracies with multilingual frameworks show: Higher legal compliance Better civic participation Reduced alienation of minority groups This move strengthens constitutional nationalism rooted in diversity, not uniformity. Critical Issues & Way Forward Need for translations in more tribal and Scheduled languages Training local civic educators & legal volunteers in mother-tongue constitutional literacy Expand: Court judgments & government schemes in tribal languages Digital & audio formats for non-literate communities Build school-level civics resources in indigenous languages Conclusion This initiative represents a landmark step in linguistic inclusion, constitutional accessibility, and tribal empowerment, strengthening democratic participation by enabling citizens to engage with the Constitution in their own language and script.

Daily Editorials Analysis

Editorials/Opinions Analysis For UPSC 26 December 2025

Content A year of dissipating promises for Indian foreign policy The urban future with cities as dynamic ecosystems A year of dissipating promises for Indian foreign policy Why is it in News? 2025 began with high diplomatic expectations for India — renewed great-power engagement, trade deals, energy partnerships, and regional outreach. By the end of the year, these expectations unravelled across four critical domains: Economic security Energy security Global strategic stability Regional security The year highlighted the limits of performative diplomacy, the risks of over-reliance on great-power goodwill, and widening vulnerabilities in India’s neighbourhood and external partnerships. Relevance GS-2 (International Relations) India–U.S., India–China, India–Russia relations Sanctions, tariffs, immigration, energy security Regional security, cross-border terrorism, neighbourhood policy Role of great-power politics, changing global order, NSS realignment Practice Question “India’s foreign policy in 2025 reveals the limits of performative diplomacy.”Discuss with reference to economic security, energy choices and regional challenges. (15 marks) Basics & Background  Post-2024 elections, India aimed to re-energise foreign policy activism through: High-level summits and bilateral visits Reset in ties with the U.S. under Trump-2.0 Progress on long-pending Bilateral Trade Agreements (BTAs) / FTAs Re-engagement with China and Russia Outreach to the neighbourhood and extended neighbourhood Mid-year onwards, developments produced strategic frictions instead of gains. Key Facts & Data U.S. Tariffs 25% reciprocal tariff on Indian exports — hit apparel, gems & jewellery, seafood. 25% surcharge on Indian purchases of Russian oil. Russian Oil Imports Imports rose to ~$52 billion before sanctions pressure tightened. Trade Negotiations FTAs signed: U.K., Oman, New Zealand Pending: U.S. and EU (the major expected deals of 2025). India–China Links restored: flights, visas, pilgrimages LAC security guarantees unresolved Economic restrictions on Chinese investments unchanged Regional Security Pahalgam attack (April 2025) → Operation Sindoor retaliation Questions over loss of Indian jets weakened credibility Emergence of Saudi–Pakistan mutual defence pact Ties strained with Türkiye & Azerbaijan Neighbourhood Political Flux Bangladesh regime-change fallout (2024) Nepal Gen-Z protests (2025) Uncertain transitions ahead of 2026 elections Myanmar elections under junta control. Issue-wise Overview Economic Security Tariff escalation by the U.S. reversed trust-building trends. Impact concentrated on: Labour-intensive export sectors MSME-linked value chains Withdrawal of GSP earlier + new tariff regime → competitiveness loss. Immigration restrictions on H-1B visas Risk to remittances, a key foreign exchange stabiliser. Trade diplomacy gap FTAs signed were secondary partners High-value agreements (U.S., EU) remained unfinished. Strategic takeaway: India’s export-growth model remains vulnerable to policy swings in major markets. Energy Security Russian crude became a low-cost anchor post-Ukraine war. New sanction wave + U.S. surcharge → potential compulsion to reduce / exit Ural crude. Precedent risk: Similar exit earlier from Iran and Venezuela under U.S. pressure. India–Russia summit outcome: No breakthrough in defence, energy, nuclear, space Raised doubts about strategic depth of the partnership. Strategic takeaway: Energy choices now carry economic + geopolitical reputational costs. Global Strategic Environment 2025 U.S. National Security Strategy shift: Softer references to China & Russia India’s role narrowed to Indo-Pacific + critical minerals Indications of U.S.–China accommodation (“G-2” narrative) increased anxiety in Asia. Peace plans in Gaza & Ukraine criticised as status-quo-favouring. China’s promotion of alternative “Global Governance” frameworks signalled Contest to Western-led rules-based order. Strategic takeaway: The world moved toward transactional alignments and power bargains, shrinking space for middle-power diplomacy. Regional & Security Environment Pahalgam terror attack exposed: Persistent cross-border threat capability Gaps in internal movement surveillance Operation Sindoor: Tactical success But limited diplomatic backing for cross-border response Speculation over aircraft losses eroded credibility. Pakistan’s posture hardened under Field Marshal Asim Munir. Saudi–Pakistan defence pact changed West Asian strategic equations. Political volatility in Bangladesh & Nepal reduced predictability. Myanmar elections reinforced junta-first architecture. Strategic takeaway: Regional theatre turned fragile, reactive and escalation-prone. Interpretation & Strategic Implications for India Over-reliance on summit optics & symbolic gestures does not secure outcomes. Performative diplomacy ≠ structural gains. Economic, energy, and strategic vulnerabilities now intersect, creating: Supply-chain risk Alliance uncertainty Neighbourhood instability India must address credibility gaps in messaging vs practice: Democracy, minority rights, and neighbourhood advocacy must be consistent. With global politics becoming transactional, India must: Anchor policy in institutional depth, economic resilience, energy diversification, and neighbourhood trust-building. Lessons for 2026 Move from symbolism to substance in diplomacy. Prioritise trade competitiveness over tariff-exemption dependency. Diversify energy sources & payment channels to reduce sanctions shock. Strengthen deterrence + diplomatic coalition-building simultaneously. Adopt consistent principles on democracy, rights, and regional norms. Develop a clear Indian vision for global order reform, not only reactive balancing. The urban future with cities as dynamic ecosystems Why is it in News? The editorial highlights the growing debate on urban inclusion, migrant integration, and linguistic barriers in Indian cities. Rapid urbanisation has intensified concerns about: Exclusion of internal migrants Language-based discrimination in services, jobs, and governance Design of cities that privilege “insiders” over “new residents” The article argues that urban planning often ignores belonging, identity and cultural diversity, creating what it terms an “invisible linguistic tax” on migrants. Relevance GS-1 (Society & Urbanisation) Internal migration, identity, belonging, social exclusion Urban diversity and demographic change GS-2 (Governance & Welfare Delivery) Barriers to access: language, documentation, service design Inclusive urban governance, participatory planning Practice Question “Language exclusion functions as an invisible economic tax on urban migrants.”Explain the statement and suggest policy measures for inclusive urban governance. (15 marks) Basics & Background  Cities are economic, political and technological hubs, but they are also social ecosystems shaped by people. Migration to cities drives: Labour supply Construction, services, gig economy, manufacturing Knowledge and creative economies However, urban planning traditionally assumes a static, homogenous resident, overlooking: New migrants Linguistic minorities Culturally diverse populations Core conceptual problem: Cities are designed as physical infrastructures, not as human habitats of belonging and identity. Key Facts & Data Context Urbanisation in India 36% of India’s population lives in urban areas (World Bank est., 2023); projected to cross 50% by 2047. Internal Migration Over 450+ million internal migrants (Census & PLFS trends). Major flows: UP–Bihar → Maharashtra, Delhi, Gujarat, Punjab, Karnataka. Language Diversity India has 22 Scheduled languages + 1,600+ mother tongues (Census 2011). Most municipal & welfare documents remain monolingual. Labour Profile of Migrants High concentration in construction, domestic work, transport, gig platforms, food delivery, hospitality, informal trade. Informal employment share in urban labour market: ~70–75%. Implication: Migrants sustain cities economically but face institutional and linguistic exclusion. Core Argument of the Editorials The “Invisible Linguistic Tax” Migrants are expected to assimilate linguistically (“speak like locals”). Failure to do so results in: Difficulty accessing jobs, housing, health care, welfare schemes Barriers in documentation, contracts, and grievance redress Exclusion from formal economy → greater vulnerability to exploitation Economic outcome: Language exclusion → lower earnings, informality trap, limited mobility. Misaligned Urban Planning Assumptions Cities are planned for the already-settled resident, not the newcomer. “Smart cities” become smart only for the documented and linguistically aligned. Migrants become administratively invisible despite contributing: Labour Taxes (GST, indirect taxes) Urban productivity Structural flaw: Planning ignores dynamic demographic change. Governance Without Cultural Diversity Planning institutions often lack: Linguistic diversity Migrant representation Community voice Policies on schools, transit, housing, public spaces fail to reflect: Multilingual needs Social realities of mobile populations Result: Cities become exclusionary by design. Why This Matters ? Economic risks Under-utilisation of migrant skills Productivity loss due to bureaucratic exclusion Urban resilience risks Weak social cohesion Heightened informalisation and precarity Democratic risks Unequal access → erosion of rights and belonging Planning risks Infrastructure success without social inclusion fails development outcomes Central message: Cities succeed only when infrastructure + empathy + belonging move together. Policy & Reform Lens — What Needs to Change? Designing Cities “for All” — Key Directions Multilingual urban interfaces Welfare, transport, municipal services in multiple major migrant languages Inclusive documentation Simplified forms, icon-based instructions, translation support desks Cultural-sensitivity training Frontline staff: hospitals, ration offices, police stations, transport hubs Participatory planning Representation of migrant communities in ward committees Urban social integration policies Community spaces, language-bridging programmes, local networking platforms Shift from static to dynamic planning Cities designed as evolving social ecosystems, not closed settlements Takeaways Urbanisation & Social Justice Internal Migration and Informality Language, Identity, and Access to Governance Human-centric vs Infrastructure-centric Planning Inclusivity as a pillar of Sustainable Cities (SDG-11) Conclusion The editorials argues that the true measure of urban success is not roads, metros, or glass towers — but whether people feel recognised, secure, and “belong”. Empathy and belonging are not soft values; they are core drivers of economic efficiency, democratic legitimacy, and social resilience.

Daily Current Affairs

Current Affairs 26 December 2025

Content Communist Party of India — From Origins to Consolidation Aravalli Mining — What the “No New Leases” Claim Really Means India’s Renewed Tilt Toward Coal Power Despite Cheaper Renewable Options Fake / Adulterated Paneer and FSSAI’s Proposed Regulatory Action Indian Army’s Revised Social-Media Policy — Passive Participation with Operational Safeguards Communist Party of India — 100 Years Foundation & Early Evolution Formal founding: Kanpur, 26 December 1925 Alternate ideological origin claim: Tashkent, 1920 (M.N. Roy–Comintern initiative) Nature of rise: Gradual convergence of diaspora activists + urban labour groups + peasant movements Key pioneers: M.N. Roy, S.A. Dange, Muzaffar Ahmad, Ghulam Hussain, Shaukat Usmani, Singaravelu Chettiar Relevance GS-I | Modern Indian History Left movements, labour & peasant mobilisation Role of ideological currents in the freedom struggle GS-II | Political Ideologies & Party Systems Evolution of Left politics in parliamentary democracy Global-Ideological Background Industrial capitalism → inequality → socialist critique Karl Marx: class struggle, surplus value, historical materialism Russian Revolution (1917): inspiration to anti-imperialist movements Comintern (1920s): coordination of revolutionary groups in colonies Streams Feeding the Indian Communist Movement Internationalist–diaspora strand (M.N. Roy) Independent Left circles in India: Bombay, Calcutta, Madras Worker–Peasant activism: trade unions → AITUC (1920) as mass platform Early State Response & Repression Meerut Conspiracy Case (1929–33): arrests, bans, underground re-organisation Established CPI as a serious labour-based ideological force Role in the National Movement Labour & Peasant mobilisation: strikes, plantation & mill workers 1930s: cooperation with Congress Socialist Party WWII phase: “People’s War line” after Nazi invasion of USSR Regional bases: Bengal, Bombay Presidency, Andhra, Punjab agrarian belts Aravalli Mining — What the “No New Leases” Claim Really Means Core Facts — What the Supreme Court / Union Government Have Stated ? The statement “No new mining leases in Aravalli” is not absolute. The restriction currently applies only to general minerals — and only until a Management Plan for Sustainable Mining (MPSM) is finalised. Exemption exists for: Critical minerals Strategic minerals Atomic minerals (First Schedule, MMDR Act, 1957) Existing mines may continue, and renewals may be allowed under strict regulation. Bottom line: This is not a permanent ban; it is a temporary pause for general minerals while guidelines are prepared — with exceptions for strategic resources. Relevance GS-III | Environment & Ecology Ecologically fragile landscapes, biodiversity corridors Desertification barrier, groundwater recharge role GS-III | Economy & Mineral Resources Critical minerals → energy transition & strategic security Why Exemptions Exist — Strategic & Economic Rationale ? Committee report (Uniform Definition of Aravalli Hills & Ranges) notes: Aravallis host deep-seated, site-specific critical minerals. India remains import-dependent for many of these resources. Minerals flagged as strategically important include: Lead, zinc, copper, silver Tin, graphite, molybdenum, nickel Niobium, lithium, rare earth elements (REEs) These are essential for: Energy transition technologies High-technology manufacturing Defence & national security Economic growth & supply-chain resilience Policy logic: Strategic minerals are treated as national-interest resources, hence exempt from blanket restrictions. Temporary Ban + Future Mining under Guidelines The MoEFCC letter (Dec 24, 2025) directs States (Haryana, Rajasthan, Gujarat): No new mining leases until MPSM for the entire Aravalli landscape is finalised. MPSM preparation agency: Indian Council of Forestry Research & Education (ICFRE) Final approval by MoEFCC MPSM will: Map ecologically sensitive, conservation-critical, and restoration-priority zones Identify areas where mining could be allowed under strict, science-based conditions Approach modeled on Saranda–Chaibasa (Jharkhand) sustainable mining precedent: Geo-referenced ecological assessment Zones marked as: No-mining / conservation priority Conditional mining Permissible mining Implication: Mining is expected to resume selectively, not disappear. Ecological Significance of Aravallis Among the oldest mountain ranges on Earth Key environmental functions: Barrier against Thar desertification Groundwater recharge & aquifer protection Biodiversity corridors (Aravali-Delhi Ridge landscape) Urban climate-buffering for NCR & Rajasthan Landscape already impacted by: Illegal quarrying Habitat fragmentation Dust pollution & slope destabilisation Trade-off: Critical mineral extraction vs ecological integrity & climate resilience. Governance Reality — Gaps & Risks Public messaging vs policy nuance mismatch Claim of “no new leases” can mask exemptions → risk of misinterpretation. Future permissions likely after MPSM, especially for strategic minerals. Monitoring challenges: Enforcement inconsistencies across States Potential for misclassification of leases as ‘strategic’ Community & environmental concerns: Risk of incremental ecological creep Possible conflicts in restoration-priority zones Policy Implications — What Needs Safeguarding ? Transparent mineral zoning maps (public domain) Clear distinction between: General vs critical vs atomic mineral leases Independent ecological audits & social impact review Cumulative-impact assessments, not mine-wise approvals Strict no-go protection for: Wildlife corridors High-biodiversity & recharge zones Restoration-linked mining permissions (progressive reclamation norms) India’s renewed tilt toward coal power despite cheaper renewable options Why is it in News? Multiple States — Assam, Bihar, Madhya Pradesh, West Bengal, Uttar Pradesh — have recently signed high-tariff coal-based PPAs (₹5.4–₹6.64/unit) even though: Solar/Wind costs = ₹2.5–₹4/unit Hybrid + Storage = ~₹5/unit or lower Meanwhile, 43 GW renewable capacity (~₹2.1 lakh crore investment) is stuck without buyers. Signals weakening demand for renewables and raises doubts over India’s energy-transition trajectory as the country also plans to add 100 GW new coal capacity by 2032. Relevance GS-III | Energy, Economy & Environment Energy security vs energy transition Coal dependency, grid reliability, baseload economics GS-II | Centre–State Energy Governance DISCOM behaviour, PPA structures, policy incentives India’s Power Mix & Transition Goals Installed capacity (approx. profile) Coal/Lignite: ~55–57% share in generation Renewables (solar, wind, biomass, SHP): ~30% capacity share, lower in actual generation Key targets 500 GW non-fossil capacity by 2030 Net-zero by 2070 Demand trend: Power demand is growing ~8–10% annually, driven by industry, AC load, urbanisation, EVs, and digital infrastructure. Tension line: Rising demand + reliability concerns → states reverting to coal for baseload security. Why States Prefer Coal Despite Higher Tariffs?  1. Baseload & Reliability Advantage Renewables are intermittent (“no sun → no power, no wind → no power”). Coal provides round-the-clock firm power for grids. Battery-storage–based RE is still perceived as risky/untested at scale. 2. Battery-Storage Constraints Current storage supports 5–7 hours, not 24×7 supply. Import dependence + supply-chain uncertainty 18% GST on battery services increases effective tariff. Discoms wary of technology + price volatility risk. 3. Discom Incentives & Risk Aversion Discoms prioritise short-term reliability over long-term cost efficiency. Failure of power supply → political & social backlash. Coal PPAs shift risk to generators, not discoms. 4. Curtailment of Renewables States like Rajasthan & Gujarat have curtailed solar output. Developers lose revenue → bankability issues → project slowdown. Economic Signals Emerging Coal PPAs at ₹5.5–₹6.6/unit vs RE at ₹2.5–₹4/unit = → States are paying more for what they perceive as reliable power. 43 GW RE stranded = capital locked, threatens investor confidence. Push toward new 100 GW coal capacity → long-term carbon lock-in risk. Strategic Implications for India’s Energy Transition Opportunities Coal ensures immediate grid stability & peak-demand support. Prevents blackouts during seasonal demand spikes. Supports industrial growth phase. Risks Transition slowdown → jeopardises 2030 climate commitments. Long-term stranded coal assets if RE + storage becomes cheaper. Increased emissions & air-pollution burden. India may lose competitiveness in global green-manufacturing supply chains. Governance & Policy Challenges Identified Absence of firm RE + storage procurement frameworks Weak incentives for Round-the-Clock renewables (RTC) Discoms’ financial stress → conservative power-purchase behavior Lack of: Grid-balancing infrastructure Peaking power markets Ancillary services pricing Policy-tariff misalignment (GST on storage, import dependence). Way Forward  Short-Term Scale RTC renewable + storage tenders with viability-gap support. Reduce GST on batteries / storage services. Standardise RE-storage risk-sharing PPA models for discoms. Medium-Term Build Green Grids + Transmission corridors. Develop peaking & ancillary services markets. Invest in domestic battery supply chains (PLI, recycling ecosystem). Long-Term Shift from coal-centric baseload → diversified dispatch mix. Promote flexible thermal operation instead of new capacity. Align state-level PPA policies with national transition goals. Fake / Adulterated paneer and FSSAI’s proposed regulatory action   Why is it in News? The Food Safety and Standards Authority of India (FSSAI) is proposing stricter labelling and disclosure norms to curb the sale of fake or non-dairy paneer substitutes in markets. Many loose / unpackaged paneer products sold locally are made using: Vegetable oils Skimmed milk powder Starches & emulsifiers These products imitate the look and texture of real paneer but lack its nutritional profile and may pose health risks. FSSAI proposes that such products must be: Labelled as “Paneer Analogue” Prohibited from using dairy-related terminology Sold only in sealed packages Carry clear consumer warnings The issue is significant because paneer forms an important protein source for a large vegetarian population and the market is ₹65,000-crore+, largely unorganised. Relevance GS-II | Governance & Regulatory Institutions Role of FSSAI, consumer protection, labelling norms GS-III | Public Health & Food Security Adulteration risks, nutrition quality, public health burden What is Food Adulteration?  Food adulteration refers to: Addition, substitution or removal of ingredients With the intent to increase profit, reduce quality or mislead consumers Leading to health risks, fraud, or nutritional loss Types Intentional — dilution, substitution, artificial colouring, synthetic fat use Unintentional — contamination during storage, processing, transport Relevant Law Food Safety and Standards Act, 2006 Establishes FSSAI as the national regulator Provides for: Standards & labelling Licensing & inspections Penalties for adulteration & misbranding What is the Issue in This Case? Real Paneer Made by curdling milk Rich in milk fats, protein, calcium Fake / Substitute Paneer Uses vegetable oils + starch + emulsifiers Designed to look identical Cheaper, widely sold in loose unpackaged form Often not disclosed to consumers Market Dynamics Organised brands = ~10% market Majority sold in unorganised informal sector Loose paneer ~₹300–340/kg Branded paneer ~₹450–500/kg → Price arbitrage drives adulteration Public Health & Governance Concerns Consumers unknowingly consume: Trans fats Low-protein substitutes Poor-quality oils Risk of: Obesity & heart disease Nutrient deficiency Food safety violations Violates: Right to informed choice Food-labelling ethics Consumer protection norms Why Enforcement is Weak ? Large, fragmented unorganised dairy markets Lack of routine inspections in local mandis Low consumer awareness Weak supply-chain traceability Seasonal festival demand → adulteration spikes Incentives for traders are high, penalties limited FSSAI’s Proposed Measures Mandatory Labelling Non-dairy substitutes to be marked “Paneer Analogue” Ban on Dairy Terminology Cannot be sold as paneer / dairy product Colour Marking Visual differentiation from natural paneer Sealed Packaging Only Loose sale to be restricted Disclosure of Ingredients & Nutrition To prevent consumer deception Regulatory Rationale: Shift from post-facto enforcement → preventive labelling + traceability. Way Forward — Policy Recommendations Regulation & Enforcement Strengthen supply-chain audits & random sampling Expand food testing infra at district level Strict penalties for repeat offenders Introduce QR-code traceability for dairy chains Consumer Protection Public campaigns on how to identify real paneer Labelling literacy programs Encourage certified dairy cooperatives Market Reform Support formalisation of local dairy value chains Incentivise quality-assured small producers Promote self-regulation & cooperative branding Indian Army’s revised social-media policy  Why is it in News? The Indian Army has revised its social-media policy to allow “passive participation” on select platforms such as Instagram, X, YouTube, Quora, etc. Personnel may only view or monitor content on these platforms. Active engagement remains banned — posting, sharing, commenting, reacting, messaging, uploading content. Limited use of WhatsApp, Signal, Telegram, Skype is permitted only for general, unclassified communication with known persons. Policy reiterates strict operational security (OPSEC) and warns against: VPNs, torrents, cracked software, proxy sites, anonymous forums, risky cloud storage. This replaces the stricter 2020 policy, when officers and soldiers were ordered to delete Facebook, Instagram and 89 mobile apps amid heightened security risks (including apps with China links). Signal: The policy reflects a shift from total restriction → controlled, security-aware digital discipline. Relevance GS-III | Internal Security & Cyber Security Operational security (OPSEC), espionage & information warfare GS-II | Constitutional & Governance Dimension Article 19(2) — reasonable restriction on speech in disciplined forces Article 355 — duty to ensure national security Why Do Armed Forces Restrict Social Media? Operational Security (OPSEC): Location leaks, troop movement exposure, geotags, photos, logistics hints. Espionage & Phishing Risks State-sponsored hackers, honey-traps, identity spoofing. Psychological & Information Warfare Disinformation, profiling, cognitive targeting. Privacy & Data Harvesting Apps collecting sensitive behavioural metadata. Core principle: Even harmless posts can reveal actionable intelligence. Conceptual Value-Addition  State’s Duty under Article 355 Ensuring security of the nation includes safeguarding operational secrecy and military preparedness — social-media discipline supports this constitutional obligation. Reasonable Restrictions under Article 19(2) Army personnel, as members of disciplined forces, face constitutionally valid limits on free expression in the interest of: Sovereignty & integrity Security of the State Public order & discipline Doctrine of Institutional Discipline Armed forces operate on command hierarchy, confidentiality, and collective responsibility — unrestricted online expression can undermine this structure. Administrative Law Principle — “Proportionality” Shift from blanket bans (2020) to risk-based, limited relaxation reflects a proportional policy approach balancing: National security  Individual autonomy  Civil–Military Relations Perspective The policy reinforces that the armed forces remain politically neutral, preventing: political commentary ideological mobilisation identity-based polarisation via social media.

Daily PIB Summaries

PIB Summaries 25 December 2025

Content YARD 1267 SAMUDRA PRATAP Good Governance Day YARD 1267 SAMUDRA PRATAP Why is it in News? The Indian Coast Guard (ICG) inducted its first indigenously designed & built Pollution Control Vessel (PCV) — ICGS Samudra Pratap (Yard 1267) — on 23 December 2025, constructed by Goa Shipyard Ltd (GSL) under the 02-PCV project. The vessel has >60% indigenous content, reinforcing Aatmanirbhar Bharat & Make in India in advanced maritime platforms. It is now the largest vessel in the ICG fleet, significantly upgrading oil-spill response, marine pollution control & EEZ-surveillance capability. Relevance   GS-III | Environment & Disaster Management — strengthens marine pollution response capacity, oil-spill control, IMO-MARPOL compliance, NOS-DCP implementation, Blue Economy sustainability. GS-III | Internal & Coastal Security / Maritime Governance — enhances ICG operational readiness in EEZ surveillance, offshore safety, port-shipping lane protection, marine hazard response. Key Specifications Pollution Control Vessel (PCV)  : Specialised maritime platform for oil-spill & chemical pollution response — equipped with skimmers, booms, dispersant systems, recovery tanks and onboard labs to contain, collect, and treat pollutants at sea. Length: 114.5 m Breadth: 16.5 m Displacement: 4,170 tonnes Type: Pollution Control Vessel (PCV) Dynamic Positioning (DP-1): A computer-controlled system that uses thrusters and sensors to hold the ship’s position and heading automatically without anchors, enabling safe, high-precision operations during pollution-response tasks. Fire-fighting notation (FiFi-2 / FFV-2): An international certification indicating the ship has high-capacity external firefighting systems capable of combating large marine and offshore fires at greater range and water-output levels than standard vessels. Armament: 30 mm CRN-91 gun Two 12.7 mm Stabilised RC guns with integrated fire-control system Critical Systems: Integrated Bridge System (Indigenous) Integrated Platform Management System Automated Power Management System High-capacity External Fire-Fighting System Specialised Pollution-Control Capabilities Oil-spill detection & analysis Oil fingerprinting machine Gyro-stabilised Standoff Active Chemical Detector Pollution-Control Laboratory (onboard) Response operations capability High-precision DP-enabled recovery Pollutant recovery from viscous oil Oil-water separation & contaminant analysis Operational Reach Designed for action within EEZ (≈ 2.37 million sq km) & beyond Strategic Significance  Maritime Environmental Security India handles ~1,500+ tanker movements annually; >70% crude oil imports move by sea. Past oil-spill incidents (Mumbai coast, Ennore, Vizag) exposed limited dedicated response assets. Samudra Pratap strengthens pollution-response readiness for: Offshore platforms Shipping lanes Ports & coastal refineries Blue Economy & IMO Compliance Enhances India’s capability under: MARPOL Convention National Oil Spill Disaster Contingency Plan (NOS-DCP) Aligns with India’s Blue Economy 2047 sustainability goals. Force-structure Upgrade Adds to ICG’s role beyond SAR & coastal security: Environmental protection Marine chemical hazard response Firefighting support to merchant & offshore vessels Aatmanirbhar Defence Industrialisation Strengthens indigenous shipbuilding ecosystem (Goa Shipyard Ltd) Demonstrates domestic capability in niche maritime technologies such as: DP-systems Pollution-control labs Integrated ship automation Context & Background India earlier operated pollution-response assets like ICGS Samudra Prahari (import-technology heavy). Samudra Pratap marks the first fully indigenous PCV, shifting capability from platform-adaptation to purpose-built maritime environmental vessels. Part of a two-ship PCV programme — enhances redundancy & nationwide deployment coverage. Conclusion ICGS Samudra Pratap is India’s first fully indigenous, largest Coast Guard pollution-control vessel, boosting oil-spill response, maritime environmental security, and indigenous defence shipbuilding capacity. Good Governance Day Why is it in News? Good Governance Day (25 December 2025) was observed to commemorate Atal Bihari Vajpayee’s birth anniversary, highlighting accountability, transparency, and citizen-centric governance. The Department of Administrative Reforms & Public Grievances (DARPG) released updates on the Good Governance Index (GGI) — a composite benchmarking tool measuring governance performance across States & UTs. The 2025 observance emphasized e-governance, digital service delivery, evidence-based reforms, and state-level performance improvements across 10 governance sectors. The year also saw major governance conferences including the 28th National Conference on e-Governance (Visakhapatnam, 2025) and IIAS-DARPG Global Governance Conference (New Delhi, 2025). Relevance   GS-II | Governance, Transparency & Accountability — institutionalises evidence-based reforms, citizen-centric service delivery, grievance-redress, RTSA & digital governance outcomes. Good Governance Day — Key Facts Date: 25 December (since 2014) Purpose: Promote citizen-centric, transparent, accountable, responsive, and inclusive governance. Legacy Anchor: Atal Bihari Vajpayee — infrastructure expansion, telecom growth, rural connectivity, democratic values & reform-oriented governance. UN Governance Principles Referenced: Participation, accountability, transparency, equity, efficiency, rule of law. Good Governance Index (GGI) — Core Features Launched: 2019 (DARPG) as a diagnostic & comparative governance assessment tool. Coverage: States & UTs grouped into 4 categories for fair comparison: Group-A States, Group-B States North-East & Hill States Union Territories Sectors Covered: 10 governance sectors / 58 indicators, including: Agriculture, Industry, HRD, Health Infrastructure & Utilities Economic Governance Social Welfare Judiciary & Public Safety Environment Citizen-Centric Governance Purpose: Benchmarking, inter-state competition, policy prioritisation, and evidence-based reforms. Governance Performance — Evidence Highlights  Human Development: Progress in retention rates, gender parity, digital access in schools, skilling & placement outcomes. Public Health: Expansion of HWCs, PHC doctor availability, IMR/MMR reduction, immunisation & hospital-bed density. Economic Governance: Tracking GSDP per-capita growth, fiscal deficit ratios, tax-revenue mobilisation, debt-to-GSDP discipline. Infrastructure & Utilities: Gains in rural connectivity, potable water coverage, LPG access, power availability & per-capita consumption. Citizen-Centric Governance: Service delivery acts, grievance-redress outcomes, online public-service access. Environment: Forest-cover change, waste-recycling share, degraded-land proportion, renewable-capacity growth. (The Index enables sector-wise dashboards for progress monitoring and reform targeting.) Top-Performer Context (Illustrative — GGI 2020-21 Benchmarks) Group-A: Gujarat, Maharashtra, Goa Group-B: Madhya Pradesh, Rajasthan, Chhattisgarh NE & Hill: Himachal Pradesh, Mizoram UTs: Delhi GGI-2019 Leaders: Tamil Nadu, Maharashtra, Himachal Pradesh, Puducherry (Used as reference baselines for subsequent performance trends.) 2025 Governance & Reform Ecosystem 28th National Conference on e-Governance (Visakhapatnam, 2025): Theme: Viksit Bharat — Civil Service & Digital Transformation; 1,000+ delegates, National e-Governance Awards, Visakhapatnam Declaration for Digital-First Governance.   IIAS–DARPG Global Governance Conference (New Delhi, 2025): 750+ delegates from 58 countries, release of Viksit Bharat@2047 — Governance Transformed; India elected IIAS Presidency (2025-28).   State Collaborative Initiative (SCI), 2025: 80+ state proposals on AI platforms, digital portals, real-time dashboards; dedicated monitoring portal.   Conclusion Good Governance Day 2025 reinforces Vajpayee’s legacy of citizen-centric, accountable governance, while the Good Governance Index provides a data-driven, sector-wise performance benchmark to drive reforms across States and UTs. Atal Bihari Vajpayee Three-time Prime Minister of India (1996, 1998–2004) — known for coalition stability, economic reforms, telecom liberalisation, National Highways Development Project, and Pradhan Mantri Gram Sadak Yojana. Distinguished Parliamentarian (40+ years) — elected 9 times to Lok Sabha and 2 times to Rajya Sabha; awarded Best Parliamentarian (1994) for his consensus-building and statesmanship. National Honors: Conferred Padma Vibhushan (1992) and Bharat Ratna (2015) for contributions to nation-building, democratic values, and governance reforms. Strategic & Foreign Policy Achievements: Led Pokhran-II nuclear tests (1998), initiated Lahore Bus Diplomacy, strengthened India’s global profile, and promoted peace with strength. Social & Governance Legacy: Advocated inclusive growth, women’s empowerment, infrastructure expansion, good governance, and citizen-centric administration — foundation for Good Governance Day (25 December).

Daily Editorials Analysis

Editorials/Opinions Analysis For UPSC 25 December 2025

Content The digital narcissus Green washing The digital narcissus Why is it in news? Recent commentaries warn that contemporary Artificial Intelligence systems are increasingly optimised for user-pleasing, affirmation-driven responses, leading to what analysts describe as an era of “intelligent sycophants” — systems that avoid challenge, critique, or contradiction to maximise engagement and retention. The debate highlights societal, cognitive, and democratic risks arising from algorithmic design choices that prioritise comfort over truth, validation over reasoning, and consensus over dissent. Relevance GS-3 (Science & Tech) Algorithmic design ethics, incentive structures in AI systems Risks to cognitive autonomy, misinformation, echo-chambers Practice Question “The danger of AI is not misinformation but affirmation without scrutiny.” Discuss with reference to cognitive autonomy and democratic discourse.(250 Words) Engagement Economics → Flattery-by-Design Platform incentives: Algorithms are typically trained to maximise engagement, satisfaction scores, and session time — behaviours empirically correlated with agreement, politeness, and positive emotional reinforcement. Research trends show that models penalised for user dissatisfaction tend to avoid contradiction, nudging outputs toward softer, agreeable responses rather than rigorous challenge. Outcome: A structural bias toward “comfort-first intelligence”, where disagreement appears risky and affirmation becomes default. Cognitive & Behavioural Risks Continuous positive feedback fosters confirmation bias reinforcement, weakening habits of self-correction, doubt, and reflective reasoning. Persistent validation environments can reduce tolerance for disagreement, increasing fragility in deliberative settings (education, workplaces, civic debate). Children and young users risk reduced exposure to argument, critique, and ambiguity, impairing development of dialogic and analytical resilience. Democratic & Institutional Implications If AI ecosystems consistently amplify approval and mute dissent, political discourse risks manufactured consensus rather than contestation. Algorithmic flattery can be instrumentalised by power structures — shaping narratives through curated affirmation, selective visibility, and subtle reality-filtering. This shifts control from explicit censorship → implicit persuasion, eroding plurality, debate, and adversarial truth-seeking that underpin democratic culture. From Rights of Users to Duties of Design Earlier digital ethics debates centred on privacy, bias, fairness; the emerging concern is intellectual autonomy — whether systems challenge, probe, or question where necessary. Ethicists argue for design obligations: Encourage evidence-seeking over affirmation, Preserve space for contradiction, Surface epistemic uncertainty instead of false certainty. Without such safeguards, AI becomes a psychological comfort system, not a cognitive partner. Historical Parallels & Political Economy Human institutions have repeatedly shown that flattery cultures degrade decision-quality — courts, courts of power, corporate boards, monarchies. At scale, algorithmic replication of such environments produces a systemic quiet catastrophe — truth is not suppressed violently but outcompeted by reassurance. The danger is not machine domination, but human intellectual atrophy — when disagreement feels alien and correction feels hostile. Normative Warning — Evolution vs. Stagnation Intellectual progress historically depends on friction, critique, and error-correction. If AI normalises frictionless approval, the habit of saying “I was wrong” weakens — undermining scientific temperament, democratic dialogue, and moral courage. The existential risk described is not technological collapse, but the end of inquiry — a civilisation lulled into agreement. Conclusion The core concern is not AI capability, but what humans ask AI to optimise for. Systems tuned to please rather than probe risk producing a society comfortable but unthinking, where dissent erodes quietly and truth is displaced by agreeable illusion. Green washing  Why is it in news? The Supreme Court (Nov 20, 2025 order) paused fresh mining leases in the Aravalli region until a Management Plan for Sustainable Mining (MPSM) is finalised under central supervision. The case triggered debate after an expert panel recommended that only hills ≥100 m above local relief be treated as “Aravalli”, which would exclude ~92% of hill features (FSI-2010 estimate) from protection — raising fears of expanded mining eligibility, weak oversight and erosion of ecological safeguards. Relevance GS-3 (Environment, Conservation, Pollution) Mining–ecology trade-offs, hydrology & air-shed functions, landscape conservation GS-2 (Governance & Federalism) Transparency, regulatory credibility, Centre–State coordination, judicial oversight Practice Question “Environmental outcomes are increasingly shaped by definitions rather than science.” Examine with reference to the Aravalli mining case.(250 Words) Data & facts-rich context  Age & spread: Among the world’s oldest fold mountains (~1.5–2.5 bn years); stretches ~700 km across Gujarat–Rajasthan–Haryana–Delhi. Hydrology: Acts as a groundwater recharge zone for semi-arid districts; areas around Gurugram–Faridabad–Alwar show severe depletion linked to quarrying & land-use change. Climate & air-shed role: Serves as a barrier to Thar desert winds; loss of ridge cover increases dust load & PM levels in NCR. Forest/green cover: Aravalli region has <7% dense forest cover in many tracts; fragmentation driven by mining, urbanisation, real-estate conversion. Pollution & safety: Studies associate illegal mining belts with land subsidence, habitat loss, heat-island effects, and higher particulate concentration. Economy–governance tension: Mining provides State revenues & local employment, but weak enforcement capacity increases risks of illegal extraction when blanket bans are imposed. Key elements of the Supreme Court position No blanket ban, but a pause on leases except government-sanctioned extraction of “critical minerals”. Recognises the conflict of interest: States depend on mining revenue but also must enforce environmental compliance. Calls for an MPSM to balance resource demand vs. ecological thresholds, under central oversight. Accepted expert-panel suggestion on 100-m local-relief criterion, but did not explain why this definition was preferred — creating ambiguity & trust deficit. Why the definition controversy matters ? Policy consequence: Defining Aravalli only as hills ≥100 m would remove ~92% features from the notified ambit, potentially opening large tracts for leases, construction, or tree felling (even if formally limited to mining decisions). Transparency gap: Committee data, methods, GIS layers and impact modelling are not publicly disclosed → decisions rely on trust instead of evidence. Ecological principle: Reforestation ≠ guaranteed compensation for deforestation; recovery of soil depth, aquifers, native biodiversity may take decades or fail entirely. Green-Wall paradox: The Centre’s Aravalli Green Wall Project promotes afforestation, yet ongoing fragmentation through quarrying undercuts landscape-scale restoration. Core issues highlighted by the debate Governance deficit: Lack of open datasets, cumulative-impact assessments, satellite audits, and public consultations. Regulatory asymmetry: Project-wise clearances ignore landscape connectivity & aquifer systems. Urban-ecology risk: NCR air-shed and water security are directly linked to ridge integrity; piecemeal approvals raise systemic risk. Institutional trust: Past weak performance on air pollution & enforcement fuels scepticism about narrow technical re-definitions. Implications for policy & federalism Mining–environment trade-off shifts from scientific thresholds to definitional manoeuvres. Centre–State coordination must address illegal mining, cross-border transport chains, royalty incentives, and independent monitoring. Judicial oversight remains pivotal, but opaque expert processes undermine legitimacy. Way forward  Publish the MPSM: assumptions, spatial layers, hydrology models, biodiversity data, and clear vulnerability zoning. Adopt landscape criteria: treat ridges, inter-fluves, corridors, recharge zones as a single ecological unit, not only ≥100-m peaks. Independent compliance audits using remote sensing + ground-truthing, quarterly public dashboards. No-go mapping for high-risk aquifer & erosion zones; graded permissions only in low-impact belts with strict caps. Align Green-Wall & mining policy through restoration guarantees, bonds, and long-term monitoring.

Daily Current Affairs

Current Affairs 25 December 2025

Content Telangana likely to get five more Geographical Indication (GI) tags soon Why manufacturing has lagged in India What is the Bureau of Port Security and its role? Did an ancient flood contribute to Keezhadi’s abandonment? ISRO rocket LVM-3 places 6000-kg US satellite — its heaviest — into orbit Only 1 in 4 marginal farmers in India linked to cooperatives, report finds Large share of India’s PM2.5 not emitted directly, but chemically formed in the atmosphere: CREA Study Telangana likely to get five more Geographical Indication (GI) tags soon Why is it in news? Telangana is close to securing five new Geographical Indication (GI) tags — Narayanpet jewellery making, Hyderabad pearls, Banjara tribal jewellery, Banjara needle craft, and Batik paintings — after completion of field studies and documentation. Additional GI applications are pending for Armoor turmeric, Nalgonda chitti dosakai, Kollapur Benishan mango, Mahadevpur tussar silk, Jagtial sesame, and Nayakpod masks. In the last two years, the State obtained two new GI tags — Hyderabad lac bangles (2024) and Warangal chapata chilli (2025) — taking the total to 18 GI-tagged products. Relevance GS-III: Economy — Inclusive Growth, MSMEs, Rural Development GI-linked value addition, craft-cluster livelihoods, FPO linkages, women-led enterprises GS-I: Indian Culture & Heritage Protection of traditional crafts, tribal art, cultural identity Telangana GI Ecosystem Total GI-tagged products (current): 18 Includes: Pochampally Ikat, Adilabad Dokra, Warangal Durries, Hyderabad Haleem, etc. GI Authority: Geographical Indications Registry, Chennai (under DPIIT). Legal Basis: Geographical Indications of Goods (Registration and Protection) Act, 1999. Ownership & Value Effects Protects place-linked identity & brand premium Ensures exclusive usage rights to local producers Enables authentication & traceability Economic Linkages GI clusters typically show Price premium: 10–30% (avg. Indian handicrafts/food GIs) Higher rural employment multipliers in craft-based economies Cultural Impact Safeguards intangible heritage, artisanal skills, tribal crafts Strengthens community identity & transmission of traditional knowledge Sectoral Significance of the Proposed GI Tags Banjara crafts (jewellery + needlework) → protects tribal livelihood chains, encourages women-led craft enterprises. Hyderabad pearls → reinforces historic trade heritage, boosts export-tourism branding. Narayanpet jewellery making → formal recognition to regional artisanal metalwork traditions. Batik paintings → strengthens handloom-art crossover markets and design innovation. Takeaways GI = place-specific, collective intellectual property (not individual trademark). Registered under DPIIT; validity: 10 years; renewable. Pre-eminent Telangana GIs: Pochampally Ikat, Adilabad Dokra, Warangal Durries, Hyderabad Haleem. Recent additions: Hyderabad lac bangles (2024), Warangal chapata chilli (2025). Upcoming pipeline: Armoor turmeric, Kollapur Benishan mango, Mahadevpur tussar silk, etc. Why manufacturing has lagged in India ? Why is it in news? A recent discussion on A Sixth of Humanity by economist Arvind Subramanian revisits why India has lagged behind China and South Korea in industrialisation despite comparable starting points. The argument applies the ‘Dutch Disease’ framework to India — suggesting that high public-sector wages distorted labour markets, pulled workers away from manufacturing, raised domestic prices, appreciated the real exchange rate, and weakened manufacturing competitiveness. The debate reopens larger questions on technological upgradation, wage dynamics, inequality, and structural transformation in India’s growth model. Relevance GS-III: Economy — Growth, Structural Transformation, Employment Manufacturing stagnation, wage–productivity dynamics, inequality GS-III: Industry & Infrastructure / Industrial Policy Technology adoption, export orientation, PLI, R&D ecosystem Key Facts & Data Manufacturing share in GDP India: broadly 15–17% for three decades, declining recently relative to services China: rose from ~25% (1990s) to 28–30%+ during industrial boom South Korea: sustained 25–27% during export-led industrialisation Employment structure India: manufacturing employs ~11–12% of workforce; large informal share China/South Korea: manufacturing central to productivity & wage gains Wage dynamics in India Entry-level IT wages stagnant since early 2000s (real terms barely improved) Platform firms (Swiggy, Zomato, Ola, Blinkit) rely on labour-intensive, low-productivity models rather than technology-deepening Inequality signal Top-end wealth and corporate profits grew faster than median wage/productivity, indicating lop-sided growth. Dutch Disease  Originally used to study Netherlands’ 1959 Groningen gas discovery. Mechanism: Resource boom → higher wages & capital shift into booming sector Currency appreciation / price rise → imports cheaper, exports costlier Manufacturing becomes uncompetitive → stagnation or decline Extension to India (policy variant): Expansion of high-wage government sector → manufacturing cannot match wages at existing productivity Higher incomes raise domestic prices → real exchange-rate appreciation even without nominal rupee change Demand tilts toward cheaper imports, hurting local manufacturing. Critical Interpretation of the Argument Strengths of the hypothesis Explains factor-market distortion: skilled labour moves to safer, better-paid government jobs Clarifies link between wages, prices, competitiveness, and structural transformation Limitations Classic Dutch-disease arises from natural-resource windfalls, not deliberate wage policy Ignores why firms did not upgrade technology over time to sustain higher wages Public sector wages may be symptom, not core cause, of weak industrial policy and ecosystem gaps. Technology & Wage Question Induced-innovation theory (Habakkuk, Allen, Acemoglu) High wages → firms invest in automation, capital-biased technology → productivity & wage growth Seen in Germany, Japan, South Korea with labour scarcity India’s contrast Large labour reserves reduced incentive to automate Manufacturing became labour-absorbing but low-productivity, limiting wage growth Services growth did not diffuse productivity economy-wide. Structural Bottlenecks Beyond Wages Shallow export orientation vs. East Asian export discipline Weak firm size-upgrading (missing middle; dominance of micro-units) Patchy industrial policy and cluster-level support Low R&D intensity and technology adoption Logistics, power, and compliance frictions historically higher than peers. Policy Implications  Shift from labour-abundance reliance to technology-deep manufacturing Strengthen export-linked manufacturing clusters and scale-up pathways Invest in skills, automation readiness, design & R&D Reform wage-productivity linkages: raise productivity alongside wages, not suppress wages Leverage PLIs, supply-chain localisation, semiconductors, electronics, green manufacturing with stronger technology absorption. What is the Bureau of Port Security and its role? Why is it in news? The Centre has constituted the Bureau of Port Security (BoPS) as a statutory body under Section 13 of the Merchant Shipping Act, 2025 to strengthen port and coastal security amid rising maritime, smuggling, piracy, and cybersecurity threats. The move coincides with major reforms in India’s maritime governance — including the Indian Ports Act, 2025, Coastal Shipping Act, 2025, and Modernised Merchant Shipping Legislation, 2025 — aimed at modernising port regulation, improving security oversight, and supporting trade efficiency. Relevance GS-III: Internal Security & Infrastructure Port security architecture, cyber-maritime threats, anti-smuggling, trafficking control GS-II: Federalism & Regulation Centre–State powers, regulation of non-major ports, governance reforms What is the Bureau of Port Security (BoPS) and what is its role? Institutional design Statutory body under the Ministry of Ports, Shipping & Waterways Modelled on the Bureau of Civil Aviation Security (BCAS) Legal mandate to enforce International Ship and Port Facility Security (ISPS) Code and global security standards Core functions Single-point regulatory oversight & coordination across ports and ships Standardised security audits, risk assessments, certification & compliance CISF designated as Recognised Security Organisation (RSO) → prepares security plans, trains private & State port agencies Graded security implementation across major and non-major ports Cyber & intelligence role Dedicated division for cybersecurity of port IT/OT systems Collection & exchange of security intelligence; coordination with national cyber agencies Scope of threat coverage Maritime terrorism, smuggling (arms/drugs), human trafficking, illegal migration, poaching, piracy Digital intrusions & cyber-sabotage in port operations What challenges in coastal and port security does India face, and how will BoPS address them? Multi-agency fragmentation Roles split across Coast Guard, Navy, CISF, State Marine Police, Customs, Port Authorities → gaps in coordination Non-uniform standards Varied security protocols across major vs. non-major ports Rising maritime-crime footprint Increased drug & arms smuggling via sea routes, illegal migration, and grey-zone activities Cyber-vulnerability Growing digitisation of ports → exposure to ransomware, data breaches, navigation system tampering Trade scale-risk mismatch Rapid growth in cargo & port capacity outpacing legacy security frameworks How BoPS mitigates these ? Unifies command & oversight → reduces duplication and response delays Standardises security architecture across all ports via CISF-led plans Integrates intelligence & cyber defence within port systems Ensures continuous compliance with ISPS & international benchmarks Creates nationwide port-security ecosystem supporting trade + safety together Key Legislative Reforms (2025) Indian Ports Act, 2025 → replaces 1908 Act Modernises regulation, safety, environmental norms, port conservancy Aims to improve ease of doing business & sustainability Coastal Shipping Act, 2025 Simplifies licensing, boosts domestic coastal trade & Indian-flagged vessels Modernised Merchant Shipping Legislation, 2025 Aligns India with global maritime safety & operational standards BoPS Act / provisions (2025) Establishes statutory port-security regulator Maritime Growth — Data Signals Cargo handled: ↑ from 974 MMT (2014) → 1,594 MMT (2025) Port capacity: ↑ 57% (last decade) Ship turnaround time: ↓ to ~48 hours (≈ global benchmarks) Coastal shipping volumes: ↑ 118% Inland waterways cargo: ↑ from 18.1 MMT (2014) → 145.5 MMT (2025) (≈ 8x rise) Global recognition: 9 Indian ports in World Bank Container Port Performance Index What criticisms exist? Centralisation concerns Greater Union control over non-major (State-run) ports → termed a “silent cost to maritime federalism” by some States Procedural safeguards Powers of port, conservancy, and health officers for entry/inspection seen as broad, with unclear judicial guardrails Note: Critiques target the legislation & governance design, not the BoPS institution per se. Keezhadi — Flood-Burial & OSL Dating Study Why is it in news? A new study by researchers from the Physical Research Laboratory (PRL), Ahmedabad and the Tamil Nadu Department of Archaeology has used Optically Stimulated Luminescence (OSL) dating to determine when flood sediments buried parts of the Keezhadi settlement along the Vaigai river. The findings suggest that portions of the site were covered by flood-borne sediments roughly ~1,000 years ago, helping distinguish when people lived there from when nature buried the remains. The study was published in Current Science (October 25) and strengthens efforts to build a scientific timeline for the Keezhadi cultural landscape beyond literary references from the Sangam corpus. Relevance GS-I: Indian Culture / Archaeology Urban settlement archaeology, Sangam-era material culture GS-I & GS-III: Geography–Environment Interface River dynamics, floods, settlement relocation, late-Holocene climate context Facts & Data — Keezhadi Excavation Context Location: Keezhadi, Sivaganga district, Tamil Nadu — on the Vaigai floodplain. Excavations have revealed: Brick walls, channel-like drains, fine clay floors, pottery fragments Settlement layout suggesting urban planning, craft activity, and trade linkages Key research challenge: Sangam poems mention towns & trade, but lack precise chronology → archaeology + geoscience used to build timelines. What did the new study examine? Focus: Sediment layers covering the archaeological structures, not the bricks themselves. Hypothesis: Flooding events of the Vaigai deposited sand–silt–clay layers that buried the settlement remains. Goal: Date when burial occurred → infer damage/abandonment phases of the settlement. Method: Optically Stimulated Luminescence (OSL) Quartz grains accumulate energy from natural radiation while buried. Sunlight resets this clock when grains are exposed at the surface. In the lab, grains are stimulated with light → measured luminescence = time since last exposure → approximates time of burial. Study details: Four sediment samples from two pits (KDI-1, KDI-2) Samples extracted using light-tight metal tubes to prevent exposure. Result: OSL dates indicate flood-deposit burial ~1,000 years ago (late Holocene phase). Climate & River Dynamics  The late Holocene climate in South India shows wet–dry fluctuations and river course shifts. The Vaigai today flows a few kilometres away from the mound → supports long-term channel migration. Implication: Floods + course shifts may have damaged infrastructure disrupted water access triggered abandonment or relocation of settlements. Why the finding matters (Archaeological Significance)? Differentiates two timelines: Period of habitation vs. period of environmental burial Provides a process-based narrative: settlements respond to hydrological hazards, not only political decline. Guides future excavations: variable sediment thickness across pits suggests differential preservation of older layers. Limits & Scope of Interpretation OSL dates the burial sediments, not the construction age of structures. Does not prove modern-type climate change → indicates long-term fluvial processes. Requires integration with ceramic typology, carbon dates, cultural layers, and stratigraphy. ISRO LVM-3 — 6-tonne US Satellite Launch Why is it in news? ISRO’s LVM-3 (Launch Vehicle Mark-3) successfully placed the 6,000-kg US communications satellite “BlueBird Block-2” into orbit — the heaviest foreign satellite ever launched by India. This was LVM-3’s third consecutive commercial mission under NewSpace India Ltd (NSIL), reinforcing India’s position in the global heavy-lift launch market and demonstrating reliability after its role in Chandrayaan-3. Relevance GS-III: Science & Technology / Space Sector Heavy-lift capability, cryogenic tech, commercial launch ecosystem Core Facts & Data  Launch vehicle: LVM-3 (GSLV-Mk III) – India’s heavy-lift rocket Payload mass: ~6,000 kg (heaviest satellite launched by ISRO to date) Payload customer: U.S. AST SpaceMobile Orbit: Near-equatorial LEO for direct-to-mobile broadband constellation Mission profile: Satellite released ~21 km lower than target orbit → onboard propulsion to raise orbit Commercial arm involved: NSIL Earlier LVM-3 high-value missions: Chandrayaan-3 (2023) OneWeb constellation launches — 72 satellites placed in orbit across two missions About LVM-3 Class: Heavy-lift, 3-stage launcher Stage 1: Two S200 solid strap-on boosters Stage 2: L110 liquid core stage Stage 3: C25 cryogenic upper stage (LOX + LH₂) Lift capability GTO: ~4–5 tonnes LEO: 8–10 tonnes (mission-dependent) Designed as India’s workhorse for deep-space & heavy satellites What makes this mission significant?  Market Positioning Demonstrates India’s entry into the heavy-satellite launch segment, competing with SpaceX Falcon-9, Ariane-5/6 Cost-competitiveness advantage LVM-3 offers lower launch costs than Western providers → boosts commercial demand Technology credibility Repeated success = higher global customer confidence in ISRO/NSIL Strategic signalling Enhances India’s role in satellite broadband constellations & dual-use space markets About the Payload — BlueBird Block-2   Purpose: Direct-to-mobile satellite broadband connectivity (no ground towers needed) Use-cases Remote-area coverage, disaster communications, maritime connectivity Constellation vision: Global space-based mobile network (competes with Starlink variants) India’s Commercial Launch Trajectory — Evidence ISRO commercial launches (last decade): ~45 missions Shift toward LEO broadband constellations — OneWeb + BlueBird NSIL contract portfolio expanding → growth in global launch services exports Broader Strategic Relevance  Space economy expansion → supports Make in India + export revenues Private–public ecosystem integration (NSIL, IN-SPACe, startups) Strengthens technological sovereignty in heavy-lift & cryogenic capability Supports ambitions in Gaganyaan crewed missions & deep-space exploration Challenges & Next-Step Priorities Fleet cadence & capacity — increase launch frequency for competitiveness Reusability roadmap — RLV/Next-gen launchers to cut costs further Global competition pressure from SpaceX rideshare pricing Supply-chain deepening — domestic ecosystem for engines, avionics, composites Only 1 in 4 marginal farmers in India linked to cooperatives, report finds Why is it in news? The State of Marginal Farmers in India 2025 report by the Forum of Enterprises for Equitable Development (FEED) — released on Kisan Diwas (Dec 23, 2025) — finds that less than 25% of marginal farmers are active members of agricultural cooperatives, despite marginal farmers constituting ~60–70% of India’s agricultural households. The report assesses cooperative access and outcomes across six states — Andhra Pradesh, Bihar, Himachal Pradesh, Maharashtra, Tripura, and Uttarakhand — and highlights structural exclusion, digital divides, and gender gaps within the cooperative ecosystem. Relevance GS-III: Agriculture, Inclusive Growth, Rural Institutions Role of PACS, credit access, service-hub model, livelihood outcomes GS-II: Social Justice / Participation Gaps Gender exclusion, digital divide, elite capture, governance capacity Key Facts & Data — Who are marginal farmers? Definition: Own < 1 hectare of land. Share in agrarian structure: 60–70% of farm households; backbone of smallholder agriculture. Yet only ~1 in 4 are cooperative members — signalling weak institutional inclusion. Role of Cooperatives & PACS — Why they matter ? Primary Agricultural Credit Societies (PACS) = lowest tier of the cooperative system; closest interface for rural households. Provide credit, input supply, procurement & marketing channels, and increasingly digital/public services (PDS, e-governance links). Function as rural service hubs in several states → linked to better livelihood outcomes. What the report finds ? — Evidence from Six States Low participation especially in Bihar, Tripura, Himachal Pradesh. Barriers to inclusion Complex membership procedures & documentation Long distances to PACS and weak last-mile presence Limited working capital → low service reliability Persistent social exclusion (caste, class, gender) Consequences Higher dependence on informal credit/markets Slower income growth, higher vulnerability to climate & price shocks Digital Divide — Facts Tripura: 77.8% cooperatives use no digital tools Bihar: 25% cooperatives report zero digital adoption Digital use largely informational, not transformational Women & older farmers face skill constraints, limiting benefits. Gender & Leadership Gaps Women members registered: 21.25 lakh (2.125 million) Women directors on cooperative boards: 3,355 → very low leadership conversion Barriers: restrictive norms, mobility limits, unpaid care burden → decision-making remains male-dominated. Where access exists — Impact is measurable ? Income outcomes 45% cooperative-linked marginal farmers report income increase ~21% report decline/stagnation Livelihood security 49% members report improved security; ~16% remain insecure Financial inclusion 67% members access credit/financial services via cooperatives Productivity 42% report improved crop yields; 22.5% report decline States with PACS as integrated service centres show stronger positive outcomes. Why are marginal farmers excluded? Institutional design gaps: procedures, documentation, capital constraints Geographical inequity: uneven spread of PACS, long travel costs Social hierarchies: elite capture, weak voice for women & marginal groups Capability deficit: limited digital literacy, low management capacity Policy-practice gap: cooperative reforms focus on scale, not inclusion. Policy Relevance  Strengthen last-mile cooperative presence in low-coverage districts Simplify membership & governance norms; ensure grievance & transparency Capital infusion + professionalisation of PACS operations Targeted digital capacity-building, especially for women & elderly farmers Promote integrated PACS (credit + inputs + procurement + services) to maximise impact. Large share of India’s PM2.5 not emitted directly, but chemically formed in the atmosphere: CREA Study Why is it in news? A new analysis by the Centre for Research on Energy and Clean Air (CREA) finds that a large share of India’s PM2.5 pollution is not directly emitted, but is chemically formed in the atmosphere from precursor gases, especially sulphur dioxide (SO₂) from coal-based power plants. The study shows that up to 42% of India’s PM2.5 is secondary particulate matter, mainly ammonium sulphate, and warns that unless India targets SO₂ and other precursor emissions, air-quality gains under NCAP will remain limited and short-lived. Relevance GS-III: Environment / Air-Pollution Governance Secondary PM2.5, SO₂ control, coal-power emissions, NCAP strategy gaps GS-III: Energy–Environment Trade-offs FGD policy, precursor-gas regulation, public-health externalities Key Facts & Data — PM2.5 Composition in India Share of secondary PM2.5 (national): up to 42% — predominantly ammonium sulphate Primary precursor: SO₂ → reacts with ammonia & atmospheric oxidants → secondary sulphate aerosols India = world’s largest SO₂ emitter ~60% of national SO₂ emissions from coal-fired power plants FGD policy gap: ~78% of coal plants exempted from installing Flue Gas Desulphurisation (FGD) → weak SO₂ control at source State-level Evidence (CREA assessment using NASA MERRA-2, 2024) Highest ammonium sulphate contribution Chhattisgarh — 42% Odisha — 41% Across states: ammonium sulphate = 17–42% of PM2.5 mass Most states cluster at 30–40% annually Seasonal profile (pan-India) Winter: 31–52% of PM2.5 Post-monsoon: 27–53% Summer: 11–36% Monsoon: 4–26% ➝ Secondary PM remains significant year-round, and dominant in polluted months. Delhi Case Study — What drives severe episodes? ~33% of Delhi’s annual PM2.5 = secondary ammonium sulphate Seasonal dominance: Post-monsoon: 49% of PM2.5 Winter: 41% Summer/Monsoon: ~21% Episodes are driven largely by regional SO₂ plumes + secondary formation, not only local primary emissions. What the findings imply ? PM2.5 challenge ≠ just road dust / primary emissions Secondary particulate matter is a core driver, not a marginal factor. Coal-power SO₂ controls are pivotal FGD exemptions undermine health & NCAP outcomes States with dense thermal clusters show highest secondary sulphate loads Policy–monitoring gap Current strategies emphasise PM10 & visible dust sources Chemical composition & precursor gases (SO₂, NO₂, NH₃) remain under-regulated. CREA’s Policy Message (Evidence-linked) Reinstate mandatory FGD installation across all coal-based TPPs Integrate precursor-gas reduction targets in NCAP revision Expand speciated PM monitoring (sulphate, nitrate, ammonium) alongside mass concentration Coordinate regional emission controls during winter/post-monsoon high-risk periods. What is Secondary PM2.5? Primary PM2.5: emitted directly (dust, combustion soot, vehicle exhaust) Secondary PM2.5: forms in the atmosphere when gaseous precursors react: SO₂ → sulphates (ammonium sulphate) NOx → nitrates NH₃ (agriculture, waste) → reacts with SO₂/NOx aerosols Secondary particles are finer, more toxic, and travel long distances → regional pollution episodes.

Daily PIB Summaries

PIB Summaries 24 December 2025

Content Exploring Extremes: A Landmark Year of Discoveries by India’s Ministry of Earth Sciences Intergenerational Bonds Exploring Extremes: A Landmark Year of Discoveries by India’s Ministry of Earth Sciences Why is it in News? Year-End Review 2025 of the Ministry of Earth Sciences (MoES) highlights a landmark year of scientific ‘firsts’ with direct socio-economic impact. Achievements span deep-ocean exploration, weather forecasting, disaster resilience, polar science, desalination, supercomputing, and urban climate services, aligned with India’s Vision 2047. Relevance: GS III (Science & Tech, Disaster Management, Environment): Deep-sea mining, HPC-based forecasting, tsunami warning systems. GS II (Governance): Science-to-society delivery, inter-institutional coordination (MoES–NDMA–States). Science with Measurable Human Impact Cost–Benefit Breakthrough (Third-party Audit): Investment: ~₹1,000 crore (Monsoon Mission + HPC). Economic Returns: ~₹50,000 crore (50:1 return). Beneficiaries: ~11 million BPL families—small farmers & fisherfolk using daily weather/ocean advisories. One of India’s first quantified ROI audits of scientific public spending. Breaking Records: Deep & Dark Oceans Deep-Sea Mining Trial: Successful test at 5,270 m depth—deepest such test globally. Strategic relevance: critical minerals, Atmanirbhar Bharat, UNCLOS-linked seabed exploration. Samudrayaan Mission: MATSYA human submersible cleared comfort & stability tests. Indian scientists reached 5,002 m depth in the Atlantic (international collaboration) → new benchmark for Indian oceanography. Coasts, Islands & Blue Economy Lakshadweep Water Security: 3 eco-friendly desalination plants commissioned. Flagship: 1.5 lakh litre/day LTTD plant at Chetlat (NIOT). Make in India – Ocean Research Fleet: Indigenous vessels Sagar Tara & Sagar Anveshika deployed for ocean health monitoring. Disaster Readiness: Tsunami Early Warning Centre monitored 32 major earthquakes in 2025—zero missed threats to Indian shores. Weather, Climate & Computing Power Mission Mausam & IMD Vision 2047: Launched 14 Jan 2025 to future-proof weather–climate services. Supercomputing Leap: HPC capacity enhanced to ~21 PFlops → high-resolution coupled weather–climate models among the world’s best. Forecast Infrastructure: Doppler Weather Radars inaugurated at Raipur & Mangalore (27 Nov 2025). Urban Climate Services: UES25 platform (NSM-funded) integrates weather, air quality, urban flood intelligence for municipalities & disaster managers. Polar, Ocean & Earth System Science Push NCPOR Infrastructure (22 May 2025): Polar Bhavan (11,378 sqm; ₹55 cr): advanced labs + Science on Sphere (South Asia’s first Polar & Ocean Museum—Phase I). Sagar Bhavan (1,772 sqm; ₹13 cr): ice labs & cleanrooms. Polar Science Leadership: 4th National Conference on Polar Science (Sept 2025): 265 participants; 160 young researchers. ESSO Review (Shillong | 19 Dec 2025): Roadmap alignment with Vision 2047 across weather, climate, ocean, Earth systems. Technology, Labs & Capacity Building Underwater Acoustics: Acoustic Test Facility designated as national laboratory (12 Apr 2025). Ocean Sensors: India’s first conductivity & temperature sensor calibration facility at NIOT (11 Feb 2025). Advanced Geochemistry: Q-ICP-MS Lab at NCESS (30 Oct 2025). AI in Aquaculture: 10 m submerged open-sea cage with AI/ML-based fish biomass estimation deployed in Andaman (17 Apr 2025). Governance, Safety & Global Engagement Heat Action Plans: Co-developed with NDMA + States to reduce heat mortality. SAHAV Platform: Released at UN Ocean Conference-3 as a global model for tech-enabled ocean governance. Extended Continental Shelf: Multi-channel seismic surveys via ONGC to strengthen India’s ECS submissions under UNCLOS. Atmospheric Electricity & Extremes: 9th National Lightning Conference focused on resilience to lightning–extreme weather linkages. Strategic Takeaways Science-to-Society Model: Weather & ocean science delivering quantified welfare gains. Blue Economy + Security: Deep ocean capability + tsunami vigilance enhance economic & strategic autonomy. Data-Driven Governance: HPC, AI, and integrated platforms (UES25) mainstream predictive governance. Vision 2047 Alignment: Institutions, infrastructure, and talent pipelines positioned for long-term resilience. Conclusion 2025 establishes MoES as a global-standard Earth System Science ministry—where frontier research, indigenous technology, and public welfare converge with measurable returns. Intergenerational Bonds Why is it in News?  The Department of Social Justice & Empowerment organised “Celebration of Intergenerational Bonds” on 22 December 2025 at Chhatarpur, Madhya Pradesh, reinforcing India’s policy push on active, dignified ageing and social cohesion. Relevance   GS II – Governance & Social Justice: Senior citizen welfare, inclusive policies, community participation. GS I – Society: Family structure changes, ageing population, value transmission. Policy Context: Why Intergenerational Bonds Matter ? Demographic Transition: India’s elderly (60+) population projected to rise from ~10% (2021) to ~20% by 2050 (UN estimates). Social Challenge: Urbanisation, nuclear families, and migration are weakening traditional family-based elder support. Governance Imperative: Shift from welfare-only to participatory ageing—elders as contributors, not dependents. Key Government Interventions Highlighted  1. Rashtriya Vayoshri Yojana (RVY) Objective: Assistive devices for mobility, vision, hearing to promote independent living. Coverage: 7.28 lakh+ senior citizens benefited nationwide. Governance Insight: Links health, dignity, and productivity of elders. 2. Elderline 14567 Function: 24×7 toll-free support—guidance, distress response, emergency assistance. Utilisation: 27 lakh+ calls received. Significance: First structured national-level grievance & support ecosystem for elders. 3. Community & School-Based Outreach Grandparents’ Day in Schools: Institutionalises intergenerational value transmission at early ages. Cultural & Community Programmes: Reduce loneliness, improve mental health, and strengthen social capital. Conceptual Framework Active Ageing (WHO): Optimising health, participation, and security to enhance quality of life as people age. Intergenerational Solidarity: Mutual exchange of experience (elders) and energy/innovation (youth) → balanced social development. Social Capital Theory (Putnam): Strong community bonds → higher trust, cooperation, and governance outcomes. Outcomes & Significance Social: Reduced generational divide; improved empathy and mutual respect. Psychological: Tackles elder loneliness; enhances youth social sensitivity. Institutional: Demonstrates soft-governance tools beyond cash transfers. Normative: Reinforces elders as mentors, custodians of values, and nation-builders. Critical Takeaway India’s elder-care strategy is evolving from assistance-based welfare to engagement-based governance. Programmes like Celebration of Intergenerational Bonds operationalise constitutional values of dignity, fraternity, and inclusiveness, making ageing a shared societal responsibility, not a private burden. Conclusion: Intergenerational harmony is no longer a cultural ideal alone—it is emerging as a core pillar of India’s social policy architecture under Viksit Bharat@2047.

Daily Editorials Analysis

Editorials/Opinions Analysis For UPSC 24 December 2025

Content AI Diffusion, Not Chip Dominance: India’s Real AI Advantage End the exploitation  AI Diffusion, Not Chip Dominance: India’s Real AI Advantage  Why is it in News? A widely cited op-ed by Samir Saran, President of the Observer Research Foundation (ORF), argues that India’s real AI opportunity lies beyond chips and data centres, at a moment when: India is scaling IndiaAI Mission (₹10,300+ crore), Global AI geopolitics is fragmenting into Compute-rich vs Compute-poor blocs, Policymakers are debating sovereignty, regulation, and economic capture in AI. Relevance GS III – Science & Technology / Economy AI as a General Purpose Technology (GPT). Industrial policy vs innovation ecosystems. Digital Public Infrastructure as growth multiplier. GS II – Governance Role of state in technology diffusion. Regulatory capacity in emerging technologies. Practice Questions “Artificial Intelligence as a General Purpose Technology rewards diffusion more than invention.”Examine this statement in the context of India’s AI strategy. (250 words) Core Thesis of the Article Compute (chips, data centres) is necessary but not sufficient. India’s comparative advantage lies in AI diffusion, applications, and governance, not in winning the chip arms race against the US or China. Three Distinct AI Phases Identified  1. Compute Era Dominated by: Advanced semiconductors (≤5 nm chips), Hyperscale data centres, Capital-intensive infrastructure. Reality Check for India: Global AI compute market dominated by US firms (NVIDIA, AMD, hyperscalers). Cutting-edge fabs require $10–20 billion per plant and long gestation. India currently imports >85% of high-end chips. Inference: Competing head-on here offers low returns, high dependency risks. 2. Diffusion Era (India’s Sweet Spot) Focus shifts from who builds models to who deploys them at scale. Involves: AI adoption across health, agriculture, logistics, MSMEs, governance. Integration with existing digital public infrastructure (DPI). India’s Structural Advantages: Population-scale platforms: Aadhaar (1.3+ bn), UPI (≈12 bn transactions/month in 2024–25), CoWIN, DigiLocker, ABHA. Cost-efficient innovation: Lowest marginal cost of digital delivery globally. Talent pool: ~1.5 million engineering graduates annually. Precedent: India led global diffusion of digital payments without owning core hardware. 3. Value Creation Era Economic value accrues not to model builders alone, but to: Domain-specific AI solutions, Workflow integration, Localised, trusted AI systems. Example logic: LLM ≠ value, LLM + sectoral data + regulation-aware deployment = value. Key Warnings in the Article Mistaking LLMs for the entire AI stack: Models are commodities over time. Differentiation lies in use-cases, data pipelines, and institutional embedding. Over-centralised AI policy: Risk of stifling innovation if regulation precedes diffusion. Copy-paste Western regulation: EU-style heavy ex-ante AI regulation may be misaligned with India’s developmental needs. Policy Prescriptions Suggested (Implicit & Explicit) 1. Strategic Compute, not Maximal Compute Secure baseline sovereign compute for: Research, Critical public services, Strategic sectors. Avoid prestige-driven chip nationalism. 2. State as Market-Maker Government to: Anchor demand via public procurement, Enable sandboxes for AI deployment in welfare, justice, climate, urban governance. Historical parallel: UPI succeeded because state created rails, private sector built innovation. 3. Regulate Outcomes, not Innovation Focus on: Accountability, Bias, Safety in high-risk use cases. Avoid regulating models in abstraction. Critical Evaluation Strengths Realistic assessment of India’s constraints. Shifts debate from hardware fetishism to developmental outcomes. Anchored in India’s proven DPI success model. Limitations Underplays long-term strategic risks of compute dependency. Requires high-quality state capacity to avoid diffusion without accountability. Conclusion India’s AI race is not about owning the fastest chips, but about deploying intelligence at population scale. If the 20th century rewarded those who controlled factories, the 21st will reward those who control platforms, workflows, and trust. The article reframes AI from a geopolitical arms race into a governance and development challenge—where India holds asymmetric advantage. End the exploitation  Why is it in News? The Supreme Court of India, in a 19 December 2025 judgment, termed child trafficking a “deeply disturbing reality” in India. The Court upheld convictions under the Immoral Traffic (Prevention) Act (ITPA) in a Bengaluru case involving sexual exploitation of a minor by organised trafficking cartels. The ruling comes amid persistently low conviction rates, despite multiple anti-trafficking laws and institutions. Relevance GS II – Polity & Governance Protection of vulnerable sections. Role of judiciary in rights enforcement. Police and criminal justice reforms. GS I – Society Child rights, social evils, organised crime. Impact of poverty, migration, and urbanisation. Practice Questions Despite a robust legal framework, conviction rates in child trafficking cases remain abysmally low in India. Analyse the structural and institutional reasons for this gap. (250 words) Key Judicial Observations (Doctrinal & Practical) Nature of Crime: Child trafficking is a grave violation of dignity, bodily integrity, and Article 21 protections. Operates through multi-layered organised networks: recruitment → transport → harbouring → exploitation. Victim-Centric Jurisprudence: A trafficked child is not an accomplice. Testimony of a minor victim must be treated as that of an “injured witness”. Evidentiary Standards: Courts must show “sensitivity and latitude”. Minor inconsistencies in testimony cannot be grounds for disbelief, given trauma and age. Bench: Justices Manoj Misra and Joymalya Bagchi. Scale of the Problem: Data Snapshot Human Trafficking Cases (2018–2022): 10,659 cases (as informed by the Ministry of Home Affairs to Parliament) Conviction Rate:~4.8% Indicates a severe enforcement and prosecution gap, not absence of law. Forms of Child Exploitation: Sexual exploitation (dominant in urban networks), Forced child labour, Domestic servitude, Begging rackets, Online grooming and trafficking via digital platforms. Legal & Institutional Framework (India) Substantive Laws: Immoral Traffic (Prevention) Act, 1956. Juvenile Justice (Care and Protection of Children) Act, 2015. Bonded Labour System (Abolition) Act, 1976. Child Labour (Prohibition and Regulation) Amendment Act, 2016. Constitutional Mandate: Article 23: Prohibition of trafficking. Article 39(e) & (f): Protection of children from abuse and exploitation. Institutional Gaps: Anti-Human Trafficking Units (AHTUs) exist on paper in many districts but suffer from: Understaffing, Poor training, Weak coordination with NGOs and prosecutors. Why Laws Are Not Enough ? Low Conviction Rates: Weak investigation, Hostile witnesses, Poor victim protection during trial. Rehabilitation Deficit: Rescue often ends with one-time compensation. Inadequate focus on: Long-term psychological care, Education continuity, Skill development. Federal & Inter-State Complexity: Trafficking networks operate across states; policing remains largely state-bound. Digital Transformation of Crime: Use of social media, messaging apps, and encrypted platforms for: Grooming, Recruitment, Sale and movement of victims. Prevention Lens: What the Editorial Emphasises Education as Prevention: Enforce Right to Education Act promise of schooling up to 14 years. School retention is among the strongest safeguards against trafficking. Community & Civil Society Role: Early warning systems, Community vigilance, NGO–police collaboration. Need for Comprehensive Anti-Trafficking Law: A standalone, modern Anti-Trafficking Act with: Victim-centric procedures, Inter-state investigation powers, Time-bound trials. Critical Takeaway India’s child trafficking challenge is no longer a legal vacuum problem, but a governance, enforcement, and rehabilitation failure. The Supreme Court has clarified the judicial approach; the remaining burden lies with: Executive capacity, Police professionalism, Prosecutorial sensitivity, Civil society participation. Conclusion: Child trafficking will not end with harsher laws alone—it demands a coordinated ecosystem of prevention, sensitive justice, and long-term rehabilitation, with the child placed firmly at the centre of the response.

Daily Current Affairs

Current Affairs 24 December 2025

Content India’s First National Anti-Terror Policy Jnanpith Award & the Demise of Vinod Kumar Shukla The Upskilling Gap: Why Women Risk Being Left Behind by AI How India’s Exports Are Concentrated in a Few States Rhino Dehorning and the Decline in Poaching Made-in-Tihar Products Go Online India’s First National Anti-Terror Policy  Why is it in News? Union Government finalising India’s first comprehensive National Counter-Terrorism Policy and Strategy. Inputs consolidated by the Ministry of Home Affairs with operational feedback from National Investigation Agency. NIA anti-terror conference (26–27 December, New Delhi) to outline policy contours. Relevance GS III – Internal Security Terrorism and counter-terrorism strategies Role of intelligence agencies (NIA, IB, NSG) Border management (India–Nepal open border) Terror financing, digital radicalisation, identity fraud Strategic Context India lacked a unified anti-terrordoctrine; counter-terror responses have been: Statute-based (UAPA, NIA Act) Agency-driven (NIA, IB, NSG) Incident-reactive rather than prevention-centric Contrast: National Policy & Action Plan on LWE (2015) → integrated security-development model. Terrorism domain lacked an equivalent pan-India template. Key Threat Vectors Driving the Policy Digital Radicalisation (High Priority) Shift from physical indoctrination to algorithm-driven online recruitment. NIA interrogation after Nov 10 car-borne suicide attack near Red Fort: Perpetrators radicalised entirely online. Identified risks: Encrypted messaging platforms Social media micro-targeting Foreign-hosted servers beyond Indian jurisdiction Institutional gap: Very limited number of trained cyber-radicalisation spotters at police-station level. Foreign-Funded Conversion & Radicalisation Networks Intelligence inputs point to: Overseas religious centres acting as ideological nodes. Suspected linkages with Pakistan’s ISI. Pattern: Funding → conversion → ideological grooming → terror facilitation. Policy likely to integrate: Financial intelligence Social media monitoring NGO & charity oversight (within constitutional limits). Open Border Exploitation (Nepal Corridor) India–Nepal border: ~1,750 km Visa-free, largely unfenced Reported modus operandi: Khalistani operatives enter Nepal on foreign passports. Discard passports → enter India illegally → move via UP–Bihar corridor to Punjab. Policy focus: Border intelligence fusion Joint surveillance with Nepal Technology-enabled profiling (without border closure). Aadhaar Spoofing & Identity Fraud Emerging threat: Synthetic identities used for SIM cards, bank accounts, logistics. Links to: Arms trafficking Drug-terror financing nexus Requires coordination between: UIDAI Financial Intelligence Units State police cyber cells. Institutional Architecture Being Integrated Core Agencies National Investigation Agency – federal investigations, terror financing, international linkages. National Security Guard – tactical response, hostage rescue, urban counter-terror. Intelligence Bureau – threat anticipation, radicalisation tracking. State ATS & Special Branches – ground-level intelligence. Technology Backbone National Intelligence Grid (NATGRID): Secure access to 20+ databases (immigration, banking, telecom, vehicle, travel). Shift from post-event investigation → pre-emptive detection. Policy Orientation: From Reaction to Prevention Old Approach Proposed Policy Shift Incident-led response Intelligence-led prevention Central agency dominance State-centric capacity building Post-attack prosecution Early detection & disruption Fragmented data Integrated data grids Elite-unit focus Police station-level vigilance Federal Dimension Policy designed as a template, not command-and-control. States consulted post-Pahalgam terror attack (April 22). Emphasis on: Training local police Standard operating procedures (SOPs) Shared best practices across States. Significance for Internal Security (GS III) First attempt at doctrinal clarity in counter-terrorism. Acknowledges non-traditional threats: digital ecosystems, identity fraud, ideological financing. Balances: National security Federal autonomy Civil liberties (critical for judicial sustainability). Likely Challenges Online radicalisation vs freedom of speech. Inter-state coordination asymmetries. Capacity gaps at thana level. Managing foreign policy sensitivities (Canada, Nepal). Conclusion The proposed policy marks India’s transition from event-driven counter-terrorism to ecosystem-based prevention. If implemented effectively, it can become the internal security equivalent of the LWE framework (2015)—but success hinges on State-level absorption, training depth, and tech-human integration. Jnanpith Award & Demise of Vinod Kumar Shukla Vinod Kumar Shukla, celebrated Hindi poet and novelist, passed away at age 88 in Raipur. He was the 2024 Jnanpith Award recipient — India’s highest literary honour. First writer from Chhattisgarh to receive the Jnanpith Award. Relevance GS I – Art & Culture Indian literature and literary institutions Regional language contributions (Hindi literature) Cultural diversity and non-metropolitan voices Prelims Jnanpith Award: year, nature, eligibility, administering body First Jnanpith awardee from Chhattisgarh Vinod Kumar Shukla Born: 1937, Rajnandgaon (present-day Chhattisgarh). Literary career began: 1971. Known for: Minimalist language Poetic treatment of everyday life Quiet subversion of power, class, and alienation. Major Works Poetry Lagbhag Jaihind (debut, 1971) Kavita Se Lambi Kavita Novels Naukar Ki Kameez Adapted into a critically acclaimed film. Deewar Mein Ek Khidki Rehti Thi Literary style often compared with: Post-Nayi Kavita humanism Everyday realism rather than ideological grand narratives. Awards & Recognitions Jnanpith Award (2024) Sahitya Akademi Award Numerous state and national recognitions for poetry and fiction. Jnanpith Award: Instituted: 1961 First awarded: 1965 Administered by: Bharatiya Jnanpith (trust founded by Sahu Jain family). Eligibility: Indian citizens Works in any 8th Schedule language. Nature: Awarded for overall literary contribution, not a single book. Award Components Cash prize: ₹11 lakh Citation Bronze replica of Saraswati, Hindu goddess of knowledge. Significance Considered the literary equivalent of the Bharat Ratna. Recognises lifetime achievement and cultural impact. Conclusion Vinod Kumar Shukla’s death is not only a personal loss but a civilisational moment for Hindi literature. His 2024 Jnanpith Award symbolised the recognition of simplicity, empathy, and everyday realism as enduring literary values. The Upskilling Gap: Why Women Risk Being Left Behind by AI Why is it in News? Recent analysis based on India’s latest Time Use Survey (2024) highlights a structural time poverty faced by women, raising concerns that the AI-driven future of work may deepen gender inequality. As India pushes AI-led growth through initiatives like the India AI Mission, evidence shows women lack time, access, and flexibility required to upskill for AI-era jobs. Aligns with broader debates on: Automation risks Right to disconnect Gender budgeting India’s Viksit Bharat @2047 vision. Relevance GS I – Society Gender roles and unpaid care work Time poverty and gender inequality GS II – Governance Gender budgeting Social infrastructure (childcare, transport, water, energy) Women’s Workload & Time Poverty Labour force participation (women): ~40% (2024). Average daily work (paid + unpaid): Women: ~9.6 hours/day Peaks at 70–80 hours/week for ages 25–39. Key driver: ~40% of women outside the labour force cite household & caregiving responsibilities. Nature of work increase: Over 80% of recent rise in women’s workforce participation comes from: Unpaid family work Low-paid self-employment Informal, low-productivity jobs. Gender Gap in Paid vs Unpaid Work Across the Life Cycle Men: Total work: 54–60 hours/week Unpaid work: minimal and stable across ages. Women: Total work exceeds men at almost all ages. 25–39 age group: Women spend 2× more time on unpaid caregiving than men. Childcare is the largest component. Even in later life: Men’s unpaid work rises marginally (elderly care), Structural inequality at home persists across income, occupation, and age. AI-Specific Risks for Women 1. Higher Automation Exposure Women overrepresented in: Routine, clerical, low-skill service jobs Informal and home-based work These roles are more automation-prone under AI adoption. 2. Algorithmic Bias AI-driven productivity metrics: Ignore caregiving interruptions Penalise time constraints Reward uninterrupted, long-hour availability Care work remains invisible to algorithms. 3. Upskilling Time Deficit Women spend ~10 hours less per week than men on: Learning Skill enhancement Self-development Gap widens to 11–12 hours/week in prime working years. Result: Limited transition from low-skill to high-value AI-linked jobs. Health & Well-being Costs Women sleep 2–2.5 hours less per week than men during peak working years. Time adjustment happens at the cost of: Rest Mental health Physical well-being Long-term impact: Lower productivity Higher burnout Reduced career longevity. Policy & Governance Solutions Highlighted 1. Time-Centric Policy Design Shift from job-counting to outcome-based employment metrics. Explicit use of time-use data in: Labour policy Skill missions AI governance. 2. Gender Budgeting as an Enabler Integrate time-use indicators into gender budgeting. Prioritise sustained spending on: Affordable childcare Elderly care services Piped water Clean cooking energy Safe public transport. 3. AI-Era Upskilling for Women Design lifelong, flexible, modular skilling: Local delivery Hybrid / online formats Low time-intensity learning Scale targeted programmes: India AI Mission AI Careers for Women Focus on: Digital literacy Applied AI tools Locally relevant vocational tech skills. Conclusion AI will not automatically empower women; without time-sensitive policy design, it may entrench inequality. Until women’s time is valued, freed, and integrated into growth strategy, India’s AI ambitions and Viksit Bharat @2047 vision will remain constrained by: Invisible labour Time poverty Underutilised human capital. How India’s Exports Are Concentrated in a Few States Why is it in News? Recent analysis using the RBI Handbook of Statistics on Indian States 2024–25 shows India’s export growth is increasingly concentrated in a handful of States, raising concerns about: Regional inequality Jobless export growth Breakdown of the traditional export–industrialisation–employment link Despite a weakening rupee and record export values, export-led development is not translating into broad-based industrial employment. Relevance GS III – Indian Economy Export-led growth model Industrialisation and jobless growth Capital deepening and labour absorption GS I – Regional Development Inter-State disparities Core–periphery model Core Export Concentration: Top 5 exporting States: Maharashtra Gujarat Tamil Nadu Karnataka Uttar Pradesh Share of national exports: ~65% (5 years ago) ~70% now Implication: National export aggregates mask severe regional divergence. Rising Geographic Concentration (HHI Evidence) Export geography measured using Herfindahl–Hirschman Index (HHI): Rising HHI → increasing concentration. Pattern emerging: Core–periphery structure Coastal western & southern States → tightly integrated into global supply chains. Northern & eastern hinterland → decoupling from export growth. Agglomeration logic: Firms prefer existing industrial clusters due to: Logistics efficiency Supplier ecosystems Skilled labour pools Global Context: Why Convergence Is Failing ? Shrinking Global Trade Window World Trade Organization data: Merchandise trade volume growth slowed to 0.5–3% band. UN Trade and Development (2023): Top 10 exporters control ~55% of global merchandise trade. Consequence: Latecomers face entry barriers. Global capital now seeks complexity, not just cheap labour. Shift from Volume to Value Economic Complexity Trap Modern exports cluster around dense product spaces: Automobiles Electronics Precision machinery These sectors: Require advanced logistics Depend on accumulated industrial capabilities Regions exporting low-complexity goods face: High barriers to upgrading Weak backward–forward linkages. Export Growth ≠ Employment Growth Capital Deepening Evidence Annual Survey of Industries (ASI) 2022–23: Fixed capital growth: +10.6% Employment growth: +7.4% Fixed capital per worker: ₹23.6 lakh Indicates: Rising capital–labour ratio Factories becoming less labour-absorptive. Manufacturing Employment Stagnation Periodic Labour Force Survey (PLFS): Manufacturing employment share: Stuck at ~11.6–12% Despite record export values. Interpretation: Employment elasticity of exports has collapsed. Exports are generating value, not mass jobs. Capital Bias & Wage Compression ASI data shows: Wage share in Net Value Added (NVA) declining. Productivity gains in: Petrochemicals Electronics Gains accrue disproportionately to capital owners. Outcome: High industrial GDP growth Limited mass prosperity Spatial Stickiness of New-Age Exports Electronics exports (PLI-driven): ~47% YoY growth Locked into: Kancheepuram (TN) Noida (UP) Reason: High supply-chain complexity Precision logistics unavailable in hinterland districts. Financial Divide: Credit-Deposit Ratios Coastal vs Hinterland RBI Credit–Deposit (CD) ratios: Tamil Nadu, Andhra Pradesh: >90% Local savings reinvested locally. Bihar, eastern Uttar Pradesh: <50% Savings mobilised but lent elsewhere. Effect: Capital flight from hinterland to coast Reinforces regional divergence. Structural Diagnosis Exports no longer act as: A bridge from agriculture → industry A mass employment generator Instead, exports are now: An outcome of prior structural capacity A mirror of accumulated industrial wealth. Policy Implications Why Old Assumptions Fail ? Export-led growth ≠ labour-intensive industrialisation. India bypassing East Asian trajectory of: Low-skill manufacturing Broad middle-class creation. Need for New Metrics Export growth ≠ inclusive development. Policy must track: Employment elasticity Wage share Regional diffusion Otherwise: Risk mistaking outcomes for instruments. Bottom Line India’s export success is real but narrow. Without correcting: Capital bias Financial asymmetry Human capital gaps Export growth will deepen regional inequality rather than resolve it, making inclusive industrialisation increasingly elusive. Rhino Dehorning & Poaching Decline  Why is it in News? A peer-reviewed study published in Science reports that rhino dehorning led to a near-elimination of poaching in African wildlife reserves. The study analysed 7 years of data (2017–2023) from 11 reserves in South Africa’s Greater Kruger ecosystem, home to the world’s largest rhino population. Findings challenge the dominance of technology-heavy anti-poaching strategies and reframe conservation economics. Relevance GS III – Environment & Conservation Wildlife protection strategies Anti-poaching models Biodiversity conservation GS II – Governance Evidence-based policymaking Institutional capacity vs incentives Global Rhino Status: Global rhino population (2024): < 28,000 (all five species combined). Major threat: Poaching for horns, driven by illicit international demand. Greater Kruger losses: 1,985 black & white rhinos killed (2017–2023). ~6.5% population loss per year, despite heavy surveillance. Anti-poaching expenditure: ~$74 million spent on: Armed patrols Tracking dogs AI cameras Aerial surveillance. Core Findings of the Study Impact of Dehorning 2,284 rhinos dehorned across 8 reserves. Poaching outcomes: 75% reduction compared to pre-dehorning levels. 78% drop where dehorning was implemented rapidly (1–2 months). 95% lower poaching risk for dehorned rhinos vs horned rhinos. Cost efficiency: Achieved using only 1.2% of total anti-poaching budgets. Methodology Data type: Quarterly poaching records (2017–2023). Analytical method: Hierarchical Bayesian regression modelling. Comparison: Dehorned vs non-dehorned reserves. Before–after intervention analysis. Outcome: Strong causal inference rather than correlation. Why Dehorning Works ? Economics of Poaching Rhino horn: Composed of keratin (same as hair & nails). No proven medicinal value. Illicit market value: $874 million – $1.13 billion (2012–2022), per Wildlife Justice Commission. Removing horns: Eliminates primary incentive, not the animal. Behavioural Reality of Poachers Killing the rhino allows: Faster removal No resistance Dehorned rhinos: Offer minimal reward Increase risk–reward imbalance for poachers. Limits of Enforcement-Only Models Arrests and patrols showed limited deterrence due to: Corruption Weak prosecution Cross-border trafficking loopholes Surveillance ≠ prevention when incentives remain intact. How Dehorning Is Done (Animal Welfare) ? Conducted by veterinarians: Sedation, blindfolding, earplugs. 90–93% of horn removed, above the germinal layer. Horn regrows naturally. Stump sealed to prevent infection. Considered non-lethal and reversible. India–Africa Contrast African Context Large landscapes. High-value illicit trade routes. Enforcement stretched thin. Indian & Nepali Model India & Nepal do not dehorn. Losses: 1–2 rhinos in last 3 years. Kaziranga National Park success drivers: Smart patrolling Community participation Local intelligence Role of Local Communities & Rangers Research involved: 1,000+ hours of workshops with rangers. Rangers: Often local residents. Hold critical ecological knowledge. Study highlights: Ranger welfare (pay, safety, training) is as vital as technology. Conservation Economics:   Dehorning shifts strategy from: Policing supply → collapsing incentive. Represents preventive conservation, not reactive enforcement. More cost-effective than high-tech surveillance alone. Conclusion Rhino dehorning is not a silver bullet, but it is: Highly effective Cost-efficient Data-validated The study redefines conservation success: Remove incentives, not just criminals. Policy lesson: Conservation outcomes improve when economics, ecology, and local capacity align. Rhinoceros   Species & Distribution Five species globally: White, Black (Africa); Greater one-horned, Javan, Sumatran (Asia). India hosts the Greater one-horned rhinoceros, mainly in Assam (Kaziranga, Pobitora). Conservation Status IUCN: Javan & Sumatran – Critically Endangered Black – Critically Endangered Greater one-horned – Vulnerable White – Near Threatened Global population (2024): < 28,000. Major Threats Poaching for horn (illegal trade worth ~$0.9–1.1 billion, 2012–22). Habitat loss, fragmentation, and human–wildlife conflict. Biology & Horn Rhino horn is made of keratin (same as hair and nails); no proven medicinal value. Used for digging, defence, and mating displays. Made-in-Tihar Products Go Online  Why is it in News? Delhi Prison Administration plans to sell Made-in-Tihar products on major e-commerce platforms such as Flipkart and Amazon. Marks a shift from offline-only sales (jail canteens, courts, exhibitions) to nationwide digital marketplaces. Aimed at improving inmate rehabilitation, skill utilisation, and post-release employability. Relevance GS II – Governance & Social Justice Prison reforms Rehabilitation of convicts and undertrials Reformative vs retributive justice What Are “Made-in-Tihar” Products? Produced by inmates inside Tihar Jail, South Asia’s largest prison complex. Product range includes: Food items: cookies, mustard oil Handicrafts: bags, footwear Household items: furniture, paper products Around 13 categories currently marketed. Scale of the Programme  Inmate workforce: ~5,000 inmates engaged daily in manufacturing and vocational work. Production units: Multiple industrial workshops across Tihar Jail complex. Revenue generation: ₹2.42 crore turnover in FY 2023–24. Average inmate earnings: ₹412 per day (credited to prison accounts). Skill coverage: About 70 different products across food processing, carpentry, tailoring, and handicrafts. Economic Dignity of Prison Labour Shifts narrative from: “Prison labour” → “Correctional industry”. Supports constitutional values: Article 21 (right to live with dignity). Reinforces Supreme Court guidance on: Fair remuneration Voluntary skill-based work. Governance & Implementation Aspects Sales via: Government-approved accounts on platforms. Branding: “Made-in-Tihar” already has recall value due to: Quality perception Ethical consumption appeal. Oversight: Delhi Prison Department ensures: No forced labour Wage crediting Product quality control. Comparative Context Similar initiatives: Open prisons in Rajasthan Prison handicraft programmes in Kerala & Maharashtra. Distinction: Tihar is among the largest prison-based industrial ecosystems in India. Challenges & Caveats Pricing competitiveness with private brands. Logistics and supply consistency. Ensuring: Non-exploitation Transparency in revenue sharing. Need for: Skill certification linkage with NSQF Post-release job placement pipelines. Conclusion Taking Made-in-Tihar products online transforms prison labour into a scalable rehabilitation model. If implemented with safeguards, it can: Humanise incarceration Generate ethical livelihoods Recast prisons as institutions of correction, not exclusion.

Daily PIB Summaries

PIB Summaries 23 December 2025

Content India – New Zealand Free Trade Agreement PESA Mahotsav 2025 & the PESA Act, 1996 India – New Zealand Free Trade Agreement Why in News ? 22 December 2025: Press Information Bureau announced conclusion of the India–New Zealand Free Trade Agreement. Concluded within ~9 months (March–December 2025) → among India’s fastest-negotiated FTAs. Relevance GS II – International Relations Bilateral & Regional Groupings Strengthens India’s engagement with Oceania / Indo-Pacific economic architecture. Enhances India’s role as a rule-shaper in services- and mobility-centric trade agreements. India’s Trade Diplomacy Strategy Post-RCEP calibrated FTA model: market access + protection of sensitive sectors. Continuity with India–UK CETA, India–Oman CEPA → coherent IR–economic alignment. GS III – Indian Economy External Sector & Trade Policy 100% duty-free access for Indian exports; addresses tariff escalation barriers. Improves export competitiveness in textiles, engineering, pharma, leather, processed foods. Strategic Context Oceania Pivot: Positions India as a preferred economic partner in the Pacific–Oceania supply chains. Trade Diplomacy Continuity: Follows India–Oman CEPA (2025), India–UK CETA (2025), EFTA TEPA (2024). Geoeconomic Logic: Diversification away from tariff and non-tariff barriers in traditional markets. India–New Zealand Economic Snapshot New Zealand economy: Per capita income: USD 49,380 Imports (2024): USD 47 bn | Exports: USD 42 bn Overseas investment stock (Mar 2025): USD 422.6 bn Diaspora leverage: ~300,000 persons of Indian origin (~5% of NZ population). Bilateral Trade Trends Merchandise trade: USD 873 mn (2023–24) → USD 1.3 bn (2024–25) (+49%) Exports: USD 711 mn (+32%) India maintains positive trade balance. Long-term trend (2015–25): Exports from India: +130% Imports from NZ: +7.2% Services trade: USD 634 mn (2024); +13% YoY Key sectors: IT, travel, business services. Core Architecture of the FTA Tariff liberalisation: 100% duty-free access for Indian exports into NZ (8,284 tariff lines). NZ average applied tariff 2.2% → 0% at EIF. India’s tariff offer: Coverage: 70.03% tariff lines Exclusions: 29.97% (dairy, sugar, key agri items, metals, arms). Phasing: 30%: Immediate elimination 35.6%: Phased (3/5/7/10 years) 4.37%: Tariff reduction 0.06%: TRQs (apples, kiwi, honey, albumins) Protection of Sensitive Sectors Dairy & core agriculture fully excluded → shields small & marginal farmers. TRQs + Minimum Import Price + seasonality prevent import surges. Reflects India’s calibrated FTA approach post-RCEP exit. Sector-wise Gains to India Textiles & Apparel: NZ imports from world: USD 1.9 bn Tariffs up to 10% → 0% Engineering goods: NZ imports: USD 11 bn India exports (FY25): USD 77.5 bn globally Pharmaceuticals: NZ pharma imports: USD 1.4 bn Regulatory annex for faster approvals. Leather & Footwear: NZ imports: USD 0.51 bn Zero duty across 181 tariff lines. Agri & Processed Food: 1,379 tariff lines (17%) Tea already zero; others peak 5% → 0%. Services & Mobility: Biggest Structural Win Services coverage: Commitments in 118 sectors; MFN in 139 sectors. AYUSH & Traditional Medicine Annex (NZ first-ever): Ayurveda, Yoga, Siddha, Unani, Homeopathy. Coexists with Maori health systems → soft power synergy. Student mobility (binding commitments): Work: 20 hrs/week Post-study visas: STEM Bachelor: 3 yrs Master’s: up to 3 yrs PhD: up to 4 yrs Professional mobility: 5,000 visas (3 yrs) for: AYUSH practitioners, Yoga instructors, Indian chefs, music teachers IT, engineering, healthcare, education, construction. Working Holiday Visa: 1,000 Indians/year, multiple entry, 12 months. Agriculture & Technology Cooperation Action Plans: Apple, Kiwi, Honey. Interventions: Centres of Excellence Planting material & orchard management Post-harvest & food safety Institutional mechanism: Joint Agriculture Productivity Council Outcome: Productivity gains without market distortion. Investment & Regulatory Provisions FDI commitment: USD 20 bn over 15 years. IPR: NZ to amend laws within 18 months for EU-level GI protection. Trade facilitation: Customs clearance: 48 hrs (24 hrs for perishables) Advance rulings, e-documentation. Rules of Origin: Anti-circumvention safeguards. Way Forward Ratification after domestic processes; EIF expected 2026. Model FTA for: Services-heavy agreements Mobility-centric trade diplomacy Balanced agri protection Conclusion The India–New Zealand FTA marks a qualitative shift from tariff-centric FTAs to mobility, services, technology, and soft-power driven trade architecture, aligning directly with Viksit Bharat @2047 goals. PESA Mahotsav 2025 & the PESA Act, 1996 Why in News ? 23–24 December 2025: PESA Mahotsav – Utsav Lok Sanskriti Ka organised by the Ministry of Panchayati Raj at Visakhapatnam. Commemorates the anniversary of the Panchayats (Extension to Scheduled Areas) Act, 1996 (PESA). Objective: Awareness, capacity-building, and celebration of community-led governance in Fifth Schedule Areas. Relevance GS II – Polity & Governance (CORE AREA) Constitutional Framework Article 244 + Fifth Schedule; operationalisation through PESA. Addresses the governance vacuum left by the 73rd Constitutional Amendment. Centre–State Relations States bound by PESA’s mandatory features; limits legislative discretion. Rights-based Governance Consent-based land acquisition; protection against displacement. Constitutional & Demographic Context ST population: ~8.6% of India’s population. Scheduled Areas notified by the President under Article 244 + Fifth Schedule (excluding Assam, Meghalaya, Tripura, Mizoram). 73rd Constitutional Amendment (1993): Added Part IX + Eleventh Schedule (29 subjects). Did not automatically apply to Fifth Schedule Areas → governance gap. PESA Act, 1996 filled this gap by extending Panchayati Raj to Scheduled Areas with tribal-specific safeguards. Core Philosophy of PESA Gram Sabha-centric governance reflecting tribal customary law. Asymmetric decentralisation: stronger village-level powers than general PRIs. Legal override: State laws cannot dilute PESA-mandated powers. Salient Features of the PESA Act  Gram Sabha as the fulcrum: Approval of development plans, projects, and programmes. Mandatory consultation/consent for land acquisition, rehabilitation. Resource sovereignty: Ownership & management of Minor Forest Produce (MFP). Control over minor water bodies and minor minerals. Cultural protection: Safeguards customs, traditions, dispute resolution mechanisms. Administrative accountability: Prior recommendation for mining leases. Regulation of money lending. Democratic deepening: Prevents alienation of tribal land; strengthens social justice. Fifth Schedule Coverage: States with Scheduled Areas: 10 Administrative footprint (Total): Villages: 77,564 Panchayats: 22,040 Blocks: 664 Districts: 45 Rules status: PESA Rules notified: Andhra Pradesh, Chhattisgarh, Gujarat, Himachal Pradesh, Madhya Pradesh, Maharashtra, Rajasthan, Telangana. Draft Rules: Odisha, Jharkhand. Government Implementation Measures Capacity-building (2024–25): 2 rounds of master trainer programmes. >1 lakh elected representatives & officials trained. Digital governance: PESA–Gram Panchayat Development Plan Portal (launched Sept 2024). Enables hamlet-wise planning and tracking of: Central & State Finance Commission grants CSS, State schemes, local funds. Institutional support: Dedicated PESA Cell within MoPR (legal, social science, finance experts). Knowledge localisation: Manuals translated into Telugu, Marathi, Gujarati, Odia + tribal languages (Santhali, Gondi, Bhili, Mundari). Centres of Excellence (CoE): Indira Gandhi National Tribal University, Amarkantak: Central share: ₹8.01 crore (5 years). Focus: documentation, training, dispute resolution models, 5 model PESA Gram Sabhas. Evidence from the Ground: Outcomes & Best Practices “PESA in Action” (July 2025): Compilation of 40 success stories across states. 1) Livelihoods & Local Economy (Chhattisgarh – Kanker) Village: Khamdhogi (443 population). Interventions: Mandatory male–female household representation in Gram Sabha. Committees + technical training. Outcomes: Forest produce, fisheries, bamboo-based activities. Shift from subsistence to diversified livelihoods. 2) Customary Law & MFP (Himachal Pradesh – Kinnaur) Product: Chilgoza pine nuts. Gram Sabha control over harvesting & revenue sharing. Equal household distribution + plot-wise allocation. Demonstrates custom + statutory harmony under PESA. 3) Minor Minerals & Revenue (Telangana – Godavari Basin) Tribal Sand Mining Cooperative: ₹40 lakh annual revenue. Funds channelled to education, health, infrastructure. Converts extractive activity into community asset creation. 4) Anti-displacement Shield (Rajasthan – Udaipur) Gram Sabha vetoed eviction under wildlife sanctuary notification. Used PESA + Rajasthan Panchayati Raj Act, 1999. Outcome: Land, livelihood, and cultural security preserved. Governance Impact Assessment Economic: Local value capture from forests, minerals, water. Social: Inclusion of women, customary institutions revived. Political: Real decentralisation beyond devolution on paper. Environmental: Community-led sustainable resource management. Challenges Delayed rule-making in some states. Variable administrative compliance with Gram Sabha consent. Capacity asymmetry across regions. Overlap/conflict with forest & mining departments. Conclusion PESA Mahotsav 2025 symbolises a shift from bureaucratic tribal welfare to constitutional self-rule. With data-backed capacity-building, digital planning tools, cultural anchoring, and legal empowerment, PESA is evolving into India’s most radical decentralisation experiment. Effective implementation is central to inclusive growth, federal justice, and democratic deepening in Scheduled Areas.

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