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GS Paper: GS3

  • Ken, Betwa and a Line Drawn on Water

    Why in the News:

    Construction of the Rs 44,605 crore Ken Betwa Link Project, India’s first inter basin river transfer project, has entered a decisive phase requiring nearly 2,000 families across 10 villages to be relocated before river diversion can begin. The accelerated rehabilitation process has triggered disputes over eligibility, compensation, and resettlement.

    • Note: An activist ended an 18-day hunger strike after the Madhya Pradesh government agreed to conduct fresh surveys of families allegedly excluded from rehabilitation under the Ken-Betwa Link Project.

    What is the Ken Betwa Link Project, and what does it promise?

    1. Origins and approval: The project was identified by the National Water Development Agency (NWDA), established in 1982. A Feasibility Report was prepared in 1995, the Detailed Project Report (DPR) was agreed upon by Madhya Pradesh, Uttar Pradesh, and the Centre in 2005, and the Union Cabinet approved the project in December 2021.
    2. Core structure: The project centres on the Daudhan Dam, a 71 metre high dam on the Ken River in Madhya Pradesh with a storage capacity of 2,853 million cubic metres, connected through a 221 km link canal to the Betwa River basin.
    3. Associated works: It also includes the Lower Orr Project, Kotha Barrage, Bina Complex Multipurpose Project, and the restoration of the Ken Canal System in Uttar Pradesh.
    4. Projected benefits: The project is expected to:
      • Irrigate 9.04 lakh hectares across Bundelkhand.
      • Generate 130 MW of hydropower and solar power.
      • Supply 194 million cubic metres of drinking water annually.
    5. Construction status: By February 2026, most heavy machinery had been mobilised, river diversion works had begun, and excavation for the Daudhan Dam foundation was about 70% complete, although the tunnel and Power House II designs remained pending.

    What is the human and ecological cost, and how is it officially being measured?

    1. Submergence scale: The project will submerge around 9,000 hectares, including: 5,258 hectares of forest land, 4,141 hectares of the core Panna Tiger Reserve and Around 2,171 hectares of village land.
    2. Displacement scale: The Resettlement and Rehabilitation (R&R) Plan identifies 1,913 affected families across 10 villages, with a population of 8,339, of whom 33.9% belong to Scheduled Tribes.
    3. Legal precondition: The Environmental Clearance granted by the Ministry of Environment, Forest and Climate Change (MoEFCC) requires that all rehabilitation and resettlement measures be completed before the project is commissioned.
    4. Compensation formula: Under the September 2023 Madhya Pradesh rehabilitation package:
      • Every adult member of an affected family is entitled to Rs 12.5 lakh.
      • A married couple is treated as a single family unit.
      • Housing assistance ranges from Rs 50,000 to Rs 1.5 lakh.
      • Each family receives a resettlement plot at Kawar Karondiya.
    5. Official disbursement figures:
      • Chhatarpur: About 89% land compensation, 96% asset compensation, and over 96% rehabilitation payments completed.
      • Panna: About 90% land compensation and almost all rehabilitation payments released.

    Why do official completion figures and ground conditions diverge?

    1. Contested demolitions: Demolition of houses in Daudhan village began on May 13, 2026. Officials claim only vacant or already relocated houses were demolished, while residents allege inadequate notice and forced demolition.
    2. Undercounted households: Several residents report that family members were excluded from official surveys, leaving them without compensation despite possessing Aadhaar cards as proof of residence.
    3. Scale of unresolved cases: Officials acknowledge only 30 to 35 pending cases, whereas villagers estimate 100 to 150 people continue living amid partially demolished settlements.
    4. Distress land sales: Families outside the formal acquisition zone are selling land for Rs 2 to 5 lakh per plot, often below market value, amid fears of post monsoon demolitions.

    Does relocation replace what is lost, or only what can be priced?

    1. Uncounted livelihoods: Forest based livelihoods, including mahua, tendu leaves, amla, honey, and fuelwood, supported household incomes but are largely absent from formal compensation assessments.
    2. Resettlement colony shortfalls: The Kawar Karondiya resettlement colony lacks a piped water supply, forcing residents to purchase water tankers or travel long distances for drinking water.
    3. Income collapse: Many households report severe reductions in income. One shopkeeper’s earnings reportedly fell from Rs 5,000 per day to Rs 300 to 400 per day, while some children have left school to support family incomes.
    4. Partial gains: Some resettled families acknowledge improvements such as access to electricity, which was unavailable in their original villages.

    Conclusion:

    The Ken Betwa Link Project illustrates the challenge of balancing large scale infrastructure development, environmental conservation, and social justice. While official compensation figures suggest substantial progress, disputes over eligibility, livelihood loss, and resettlement quality reveal significant implementation gaps. The ultimate test of the project will be whether rehabilitation and resettlement are completed in both letter and spirit before river diversion begins, as required under the Environmental Clearance.

  • With a Page Out of China’s Book, TN Maintains Lead in Share of Women Workers

    Why in the News:

    New data from the Ministry of Statistics and Programme Implementation (MoSPI) on India’s 46 most populous cities places Coimbatore and Madurai at the top of the female labour force participation rate (FLFPR) rankings, with Tamil Nadu holding nearly half the country’s women employed in electronics manufacturing. States with comparable industrial investment, such as Karnataka and Maharashtra, show far lower and declining shares, sharpening the question of what specifically converts factory investment into women’s employment.

    What does the MoSPI data show about Tamil Nadu’s lead in female employment?

    1. City rankings: Coimbatore records an FLFPR of 41.3% and Madurai 37%, both above the urban India average of 27.7%; Surat ranks between them at 40.6%.
      • Term: Labour Force Participation Rate (LFPR): The percentage of people either employed or actively looking for work.
    2. Electronics manufacturing share: Tamil Nadu’s share of women employed in computer, electronics and optical products manufacturing rose from 20% to 43% between 2013 to 2014 and 2023 to 2024, as per the Annual Survey of Industries.
    3. Divergent state trends: Gujarat’s women’s share in electronics manufacturing remained at 10% over the same decade; Maharashtra’s fell from 24% to 6%, and Karnataka’s from 11% to 8%.
    4. Overall factory employment: Tamil Nadu accounted for 14,814 of the 34,531 women directly employed nationally in electronics manufacturing in 2023 to 2024, and holds the largest state share of all women employed in factories at 40% in 2023 to 2024, down slightly from 43% in 2021 to 2022.

    Why has housing infrastructure become the deciding factor, not industrial investment alone?

    1. Housing as the binding constraint: Housing is cited as the single issue causing 80% of women to decline job offers, according to the Udaiti Foundation.
    2. Two hostel models: The Tamil Nadu Working Women’s Hostels Corporation runs large SIPCOT linked industrial dormitories alongside smaller Thozhi hostels of 100 to 150 beds. The 19 existing Thozhi hostels operate at 87% occupancy and are expected to expand to 46 within two years.
    3. Housing as economic infrastructure: The state treats women’s hostels as economic infrastructure rather than welfare spending, reducing employers’ need for separate mobility infrastructure and improving retention of migrant labour.
    4. Concentration in two states: Almost half of India’s working women’s hostels are located in Tamil Nadu and Kerala, according to a December 2024 ICRIER paper.

    Is the model being replicated elsewhere, and does hostel capacity alone explain the outcome?

    1. Kerala’s shortfall: Despite similar hostel infrastructure, Kerala’s share of women in electronics manufacturing declined from 8% to 6% between 2013 to 2014 and 2023 to 2024, showing that housing alone does not create an electronics manufacturing base.
    2. Karnataka’s reactive catch up: Foxconn’s Devanahalli plant hired around 30,000 workers, nearly 80% women, and began expanding dormitory facilities only after recruitment.
    3. China comparison unsubstantiated: The comparison with China’s women led electronics manufacturing model is presented as a framing device and is not supported by comparative evidence in the report.

    Does a rising employment share also mean better quality jobs?

    1. Wage gap: The average monthly wage for salaried women in Chennai was Rs 22,919 in 2025, below the average for million plus cities of Rs 23,707. Wages were lower in Coimbatore (Rs 19,149) and Madurai (Rs 18,247).
    2. Sectoral wage gap: The average annual wage per worker in Tamil Nadu’s electronics manufacturing was Rs 2.45 lakh in 2023 to 2024, slightly below the all India average of Rs 2.5 lakh and well below Telangana’s Rs 4.46 lakh.
    3. Fast growth from a low base: Tamil Nadu’s wages increased by 83% between 2013 to 2014 and 2023 to 2024, more than double the all India average growth of 36%, though behind Delhi, Puducherry, Madhya Pradesh, Goa, and Uttarakhand.
    4. Restrictive hostel norms: Hostels are reported to have restrictive rules, and factories have historically been reluctant to hire married women.
    5. Data undercount: The MoSPI dataset covers only cities with populations above 10 lakh as per Census 2011, excluding newer industrial hubs such as Hosur, Erode, and Oragadam.

    Conclusion:

    Tamil Nadu’s leadership is driven by a deliberate policy of treating women’s housing as economic infrastructure rather than welfare, enabling higher female participation in manufacturing. However, employment gains remain concentrated in relatively low wage, hostel based jobs with continuing social restrictions, while official statistics understate the model’s reach by excluding newer industrial centres. Whether this approach can expand beyond electronics manufacturing and improve job quality and wages remains an open question.

  • Why Inflation Is Rising in India

    Why in the News?

    India’s Wholesale Price Index (WPI) inflation climbed to 9.87% by June 2026, after staying negative or near zero for over a year. This reverses more than a decade of relatively low inflation. It appears, on the surface, to confirm the common belief that rising prices signal demand outpacing supply.

    Why has India’s WPI inflation surged sharply, and why does simple demand overheating not explain it?

    1. Wholesale Price Index (WPI): an index tracking price changes of goods at the wholesale stage, split into three sub-categories, primary articles, fuel and power, and manufactured products.
    2. Sharp reversal: WPI inflation stayed negative or close to zero until December 2025, then climbed sharply from March 2026 onward, reaching 9.87% by June 2026.
    3. Popular assumption: Conventional economic intuition treats rising prices as a sign of demand outpacing supply (overheating), and falling prices as the reverse.
    4. Composition of the jump: Fuel and power, and manufactured products, not primary articles, accounted for the dominant share of the WPI rise in the months leading up to June 2026.

    Why do primary commodity prices and manufactured goods prices respond differently to demand and supply?

    1. Kaleckian distinction: Economist Michal Kalecki argued that primary commodity prices are demand-determined, while industrial and manufactured prices are cost-determined.
    2. Primary commodities: Supply is largely fixed in the short run, shown as a vertical supply curve. A supply shock, such as a bad monsoon, shifts this curve and directly raises prices. This is demand-pull inflation.
    3. Manufactured goods: Firms typically operate below full capacity, so the supply curve is flat. A rise in demand is met by higher production, not higher prices.
    4. Markup pricing: Manufactured goods prices are set as a cost markup over production cost. Prices rise only when input costs rise, making this cost-push inflation rather than demand-pull inflation.

    What specifically pushed up food and manufactured goods prices in India’s current surge?

    1. Fuel and power drove manufactured inflation: Fuel and power prices moved almost one-to-one with manufactured goods inflation, confirming a cost-push channel.
    2. Wages ruled out as a driver: Indian workers largely lack bargaining power over wages, so wage costs are not treated as the factor pushing up manufactured prices.
    3. Monsoon failure drove food inflation: An inadequate monsoon, linked to the El Niño effect, hurt agricultural production and pushed up food prices through 2026.
    4. Historical pattern confirmed: Data spanning 1953-54 to 2025-26 show drought years consistently coinciding with sharp spikes in food article inflation, supporting the Kaleckian structuralist explanation.
    5. Not an absolute rule: Food inflation has also occurred in some non-drought years, suggesting demand-side pressure can independently raise food prices. A drought is a sufficient but not a necessary condition for food prices to soar.

    Is India’s current inflation surge purely an external shock, or has government policy made it worse?

    1. A tool that worked: The government previously held domestic pump prices steady despite rising global crude oil prices by cutting customs and excise duties on fuel.
    2. Tool withdrawn: This countercyclical duty-cut measure has since been withdrawn.
    3. Self-inflicted component: The withdrawal is identified as one of the primary reasons for the sharp rise in WPI inflation, turning part of what looks like an external oil-price shock into a domestic policy choice.
    4. Framework critique: The existing inflation-targeting framework is described as ill-suited to managing fuel-driven, cost-push inflation, since it is built to respond to demand-side pressure rather than cost-side pressure.

    What structural policy changes are proposed to control inflation going forward?

    1. Decouple food supply from the monsoon: Heavy investment in irrigation infrastructure is proposed to reduce agriculture’s dependence on rainfall, since continued dependence on the monsoon is called unscientific and anachronistic in the present technological era.
    2. Countercyclical indirect tax policy for fuel: Customs and excise duties on fuel should be systematically lowered when global crude prices rise and restored when prices fall, rather than applied inconsistently.
    3. Move beyond inflation targeting for cost-push inflation: A rule-based countercyclical duty policy is presented as a more effective response to oil-driven, cost-push inflation than the existing inflation-targeting framework, which is tuned to demand-side price pressure.

    Conclusion

    India’s WPI inflation surge is a cost-push and supply-shock phenomenon, not demand overheating. Food prices rose due to an inadequate monsoon, and manufactured goods inflation tracked global fuel costs almost one-to-one. The government’s withdrawal of a countercyclical duty-cut measure on fuel is identified as one of the primary reasons for the sharp WPI rise. This makes part of the current inflation surge a self-inflicted policy outcome rather than a purely external shock. Going forward, food security needs to be decoupled from monsoon dependence through irrigation investment. Also, fuel-price shocks need to be cushioned through a rule-based countercyclical indirect tax policy rather than the existing inflation-targeting approach.

    PYQ Relevance

    [UPSC 2024] What are the causes of persistent high food inflation in India? Comment on the effectiveness of the monetary policy of the RBI to control this type of inflation.

    Linkage: The PYQ asks for the causes of persistent food inflation in India and evaluates whether RBI monetary policy is effective in controlling it. The article gives a structural, non-monetary explanation for food inflation (monsoon-driven supply shocks) and manufactured inflation (fuel cost pass-through). It argues that both are cost-push phenomena rather than demand/monetary phenomena. 

  • India’s Green Transition Is Missing Long-Duration Energy Storage

    Why in the News?

    India recorded its highest-ever electricity peak demand of 270.8 GW on May 21, exposing gaps in the country’s storage architecture during periods of low renewable generation. This has sharpened focus on long-duration energy storage (LDES), a category entirely absent from India’s current national storage planning framework despite its technologies and resource potential already existing.

    Why did India’s existing storage roadmap prove inadequate against actual demand patterns?

    1. Record peak demand: India recorded its highest-ever peak electricity demand of 270.8 GW on May 21. This is an increase of approximately 90 GW over the same period in 2019.
    2. Dual demand peaks: Power generators typically meet India’s summer daytime peak. Demand rises again at night, driven largely by air conditioner use, precisely when solar generation is unavailable.
    3. Roadmap’s duration ceiling: The 2026 Long-Term National Resource Adequacy Plan envisages 80 GW of battery energy storage and 94 GW of Pumped Hydroelectric Energy Storage (PHES) by FY2035-36. These translate to average discharge durations of roughly 4 hours and 6 hours, respectively.
    4. Adverse-weather gap: Four-to-six-hour storage can manage routine daily demand swings. It cannot sustain the grid through prolonged low-generation events such as heatwaves.

    What technologies make up India’s Long-Duration Energy Storage (LDES) landscape, and how do they compare?

    1. Definition: LDES refers to technologies that store energy and discharge it as power or thermal energy over extended periods, ranging from 8 hours to days, weeks, or seasons.
    2. Functional distinction: Short-duration storage systems discharge for under 8 hours and smooth intra-day demand fluctuations. LDES instead balances supply and demand over prolonged periods, eases grid congestion, and adds resilience.
    3. Pumped Hydroelectric Energy Storage (PHES): PHES remains the technology benchmark. It has mature infrastructure and an energy efficiency of 70-80%.
    4. Compressed-Air Energy Storage (CAES): CAES has a similar level of market readiness to PHES. Its efficiency is slightly lower, at 40-70%.
    5. Thermal and hydrogen storage: Thermal storage offers the longest discharge duration among developed technologies, around 200 hours, with 55-90% efficiency. Hydrogen-based storage can discharge for up to 1,000 hours but remains inefficient.
    6. Vanadium flow batteries and emerging tech: Vanadium flow batteries are commercially ready, come in different sizes, and deliver 80-85% efficiency across 10-24 hour durations. Iron-air batteries are an emerging technology still under development.

    Why do cost and site constraints limit LDES deployment despite its technical readiness?

    1. Duration-cost relationship: Longer discharge duration improves a technology’s economics. Storing more energy simultaneously raises total costs, making short-duration systems uncompetitive beyond six hours of discharge.
    2. Cheapest options: PHES and CAES are currently the most cost-effective and commercially viable LDES technologies, at $0.12/kWh and $0.10/kWh respectively, per a Pacific Northwest National Laboratory study.
    3. Site dependency of PHES: PHES needs two water reservoirs at different heights, adequate land, and sufficient height difference for water to generate force when released.
    4. Site dependency of CAES: CAES needs large underground spaces, such as salt caverns or depleted gas fields, that can safely hold high-pressure air without leaking.
    5. Site-flexible alternatives: Where such geological or land conditions are unavailable, hydrogen, thermal storage, or vanadium flow batteries are more suitable, since they depend less on specific land, water, or subterranean conditions.

    What do international institutional and regulatory models demonstrate about accelerating LDES investment?

    1. LDES Council (international industry body): This body brings together industry leaders, technology developers, investors, and policymakers to accelerate LDES innovation and commercialisation. It projects a significant decline in LDES costs by 2030.
    2. United States-Pacific Northwest National Laboratory: This research body, under the U.S. Department of Energy, benchmarked PHES and CAES as the most cost-effective LDES technologies at present.
    3. California-Public Utilities Commission: California’s primary utility regulator has set an LDES procurement target of 2 GW, to be deployed between 2031 and 2037.
    4. United Kingdom- investor revenue guarantee: The U.K. has launched a financial framework guaranteeing LDES projects a minimum revenue even in poor market conditions, to unlock investment and accelerate deployment.

    Where does India currently stand on LDES resource potential and deployment?

    1. PHES potential: A 2026 Central Electricity Authority report placed India’s PHES potential at about 267 GW.
    2. Planned PHES capacity: India plans to install PHES projects with an aggregate capacity of 100.8 GW by 2035-36. Of this, 11.6 GW is currently under construction.
    3. CO2 battery pilot: In early 2025, India launched a 160-MWh carbon dioxide battery storage system at NTPC Kudgi, Karnataka. It cycles carbon dioxide between liquid and gas phases and has an operational life exceeding 25 years.
    4. Vanadium flow pilot: India inaugurated its first MWh-scale vanadium redox flow battery system, a 3-MWh facility at NTPC Greater Noida.

    Why does India’s national storage planning still not recognise LDES as a category?

    1. Resource Adequacy Plan silence: The Long-Term National Resource Adequacy Plan acknowledges the general role of energy storage in grid reliability. It does not specifically recognise the need for LDES.
    2. National Electricity Plan silence: The National Electricity Plan projects capacities for battery energy storage systems and PHES. It provides no technology-specific assessments or deployment pathways for LDES.
    3. Capability-recognition gap: India already has a 267 GW PHES resource base and functioning LDES pilot projects. National planning documents do not treat LDES as a distinct storage category requiring its own targets or provisions.

    What policy and institutional measures would close India’s LDES planning gap?

    1. Framework integration: LDES should be incorporated into the Ministry of Power’s National Framework for Promoting Energy Storage Systems, with guidelines on its deployment and grid integration.
    2. Technology-specific planning: Future planning exercises should estimate LDES requirements and identify technologies suited to India’s extreme weather and geography, rather than treating storage as a single undifferentiated category.
    3. Clearances and regulatory classification: Faster environmental and land clearances, transmission alignment, and clear regulatory classification of LDES technologies are needed to unlock investment.
    4. Technology-agnostic incentives: The incentive structure, including subsidies and viability-gap funding, must be technology-agnostic and incentivise co-location with data centres. As the market matures, the focus must shift to long-term revenue contracts, tariff structures, and procurement frameworks.
    5. Capacity building: Dispatch centres need staff trained in optimal dispatch, multi-day charge-discharge decisions, and state-of-charge management across seasons, supported by clear protocols for LDES.

    Conclusion

    India’s storage roadmap treats energy storage as a short-duration, hourly balancing problem, while a renewables-heavy grid increasingly requires multi-day resilience. LDES technologies and resource potential already exist in India; what is missing is formal policy recognition, technology-specific planning, and an incentive architecture built around them. Unless LDES is written into national storage planning documents, India’s clean energy transition will remain dependent on favourable weather and market conditions rather than assured grid reliability.

  • White Gold: India’s Cotton Story

    Why in News?

    The Government released “White Gold: India’s Cotton Story – From Seed to Shirt”, highlighting India’s global leadership in cotton production and new initiatives to improve productivity, quality, and sustainability.

    Key Highlights

    • India is the only country cultivating all four recognized cotton species.
    • Ranks: 1st in global cotton acreage. 2nd in production and consumption.
    • Cotton production (2025–26, provisional): 290.91 lakh bales.
    • Domestic consumption: 328 lakh bales.
    • Contributes nearly 19% of global fibre production.
    • Supports livelihoods of 6 million farmers and employment for 40–50 million people in allied sectors.

    Four Cotton Species

    • Gossypium arboreum (Asian cotton)
    • Gossypium herbaceum (Asian cotton)
    • Gossypium hirsutum (American upland cotton; ~90% of India’s hybrid cotton)
    • Gossypium barbadense (Egyptian cotton)

    Bt Cotton

    • Genetically modified cotton containing genes from Bacillus thuringiensis (Bt).
    • Commercially introduced in 2002.
    • Resistant to bollworms, reducing insecticide use and improving yields.

    Major Cotton Growing Zones

    • Northern: Punjab, Haryana, Rajasthan
    • Central: Gujarat, Maharashtra, Madhya Pradesh
    • Southern: Telangana, Andhra Pradesh, Karnataka
    • Also cultivated in Tamil Nadu and Odisha.

    Government Initiatives

    Mission for Cotton Productivity (2025–26)

    • Five-year mission with an outlay of ₹5,659.22 crore.
    • Target: Increase production from 297 lakh bales to 498 lakh bales by 2031.
    • Focus on: Climate-resilient varieties, Pest-resistant seeds, Extra-Long Staple (ELS) cotton, and Advanced breeding and biotechnology.

    Minimum Support Price (MSP)

    • Procurement by Cotton Corporation of India (CCI).
    • MSP (2026–27): Medium Staple: ₹8,267/quintal and Long Staple: ₹8,667/quintal

    Special Project on Cotton (NFSM)

    • Promotes: High Density Planting System (HDPS), Closer Spacing Planting System, and ELS cotton technologies.
    • Demonstrations recorded 30–40% yield improvement.

    Kapas Kisan App

    • Digital platform for Farmer registration, MSP procurement slot booking, Aadhaar-linked payments, and SMS updates.

    Kasturi Cotton Bharat

    • National branding and traceability initiative.
    • Features: QR-code certification, Blockchain-based traceability, and NABL-accredited quality testing.
    • Promotes Indian cotton as a premium global brand.

    Economic Importance

    • Cotton is known as “White Gold”.
    • Integral to the textile value chain and India’s export earnings.
    • Cottonseed provides: Edible oil, Animal feed, Biomass fuel, and Surgical cotton and medical products.

    [2020] “The crop is subtropical in nature. A hard frost is injurious to it. It requires at least 210 frost-free days and 50 to 100 centimeters of rainfall for its growth. A light well-drained soil capable of retaining moisture is ideally suited for the cultivation of the crop.” Which one of the following is that crop?

    a) Cotton
    b) Jute
    c) Sugarcane
    d) Tea

  • Core Industries Index (ICI) Revised Series

    Why in News?

    The Index of Core Industries (ICI) grew by 5% in June 2026, the highest growth in the last five months. The government also released a new ICI series with base year 2022–23, replacing the 2011–12 series.

    Key Highlights

    • Growth: ICI increased by 5% (YoY) in June 2026, up from 3.2% in May 2026.
    • Base Year Revised: Updated from 2011–12 to 2022–23.
    • Coverage Expanded: Iron ore has been added as the 9th core industry.
    • Methodology Updated: Sectoral weights and estimation methods have been revised.
    • Fastest Growing Sector: Iron ore (43.9% growth), largely due to a low statistical base.
    • Other sectors recording positive growth: Electricity: 9.8%, Cement: 9.8%, Steel: 4.6%, Coal: 1.4%
    • Sectors recording contraction: Crude Oil: –4.2%, Natural Gas: –7.4%, Refinery Products: –4.7%, Fertilisers: –3.3%

    About the Index of Core Industries (ICI)

    • Published by the Office of the Economic Adviser (OEA) under the Department for Promotion of Industry and Internal Trade (DPIIT).
    • Measures the performance of core industrial sectors.
    • Serves as a leading indicator of the Index of Industrial Production (IIP).
    • Accounts for about 40% of the weight in the IIP.
    • Nine Core Industries (Base Year 2022–23): Coal, Crude Oil, Natural Gas, Refinery Products, Fertilisers, Steel, Cement, Electricity, and Iron Ore (newly added)

      [2016] In the ‘Index of Eight Core Industries’, which one of the following is given the highest weight?

      (a) Coal Production

      (b) Electricity generation

      (c) Fertilizer production

      (d) Steel production.

    1. India Approves First Dengue Vaccine (QDENGA)

      Why in News?

      India has approved its first dengue vaccine, QDENGA (TAK-003), developed by Takeda Biopharmaceuticals, after receiving market authorization from the Drug Controller General of India (DCGI).

      Key Highlights

      • First dengue vaccine approved in India.
      • Approved for individuals aged 4 to 60 years.
      • Type: Live attenuated tetravalent vaccine.
      • Protects against all four dengue virus serotypes (DENV-1, DENV-2, DENV-3, DENV-4).
      • Dosage: Two doses administered 3 months apart.
      • Can be given irrespective of previous dengue infection.
      • No pre-vaccination screening is required.

      Clinical Performance

      • Based on 19 Phase I, II and III clinical trials involving over 28,000 participants.
      • Phase III (TIDES) trial enrolled 20,000+ participants across eight dengue-endemic countries.
      • 80.2% efficacy against confirmed dengue (12 months after second dose).
      • 90.4% efficacy against dengue-related hospitalization (18 months).
      • Long-term studies showed sustained protection for up to 7 years.

      Global Status

      • Approved in 43 countries.
      • WHO recommends its use in high dengue transmission settings.
      • Received WHO prequalification.
      • Included in the national immunization programmes of Brazil and public programmes in Argentina, Colombia, and Indonesia.

      About Dengue

      • Cause: Dengue virus (Flavivirus).
      • Vector: Female Aedes aegypti mosquito (also Aedes albopictus).
      • Transmission: Mosquito-borne (not spread directly from person to person).
      • Symptoms: High fever, severe headache, muscle and joint pain, skin rash, and bleeding in severe cases.
      • Severe Form: Dengue Hemorrhagic Fever (DHF) and Dengue Shock Syndrome (DSS).

      [2023] ‘Wolbachia method’ is sometimes talked about with reference to which one of the following?

      [A] Controlling the viral diseases spread by mosquitoes.

      [B] Converting crop residues into packing material.

      [C] Producing biodegradable plastics.

      [D] Producing biochar from thermo- chemical conversion of biomass

    2. [20th July 2026] The Hindu OpED: The Stark Reality of the Missing Jobs for India’s Gen Z

      PYQ Relevance[UPSC 2014] While we flaunt India’s demographic dividend, we ignore the dropping rates of employability. What are we missing while doing so? Where will the jobs that India desperately needs come from? Explain.
      Linkage: The PYQ asks whether India is ignoring falling employability while flaunting its demographic dividend, and where future jobs will come from. It matches the article’s central tension between the demographic dividend narrative and the graduate unemployment reality.

      Mentor’s Comment

      Periodic Labour Force Survey (PLFS) 2023-24 data shows that unemployment among India’s Gen Z rises, not falls, with higher education. Also, most employed Gen Z workers hold no job contract or social security cover. This has exposed a widening gap between India’s celebrated demographic dividend and the actual quality of work available to its youngest working-age cohort.

      How Wide Is India’s Youth Employment Gap?

      1. Low participation: Labour Force Participation Rate (LFPR) for Gen Z stands at 41.7%, against 75% for Millennials, reflecting continued engagement in education as well as exit from the workforce.
      2. Rural-urban reversal: Rural Gen Z participation (44.1%) exceeds urban participation (37.2%), indicating urban youth delay labour market entry for education and training while rural youth enter earlier out of necessity.
      3. Unemployment gap across cohorts: Overall Gen Z unemployment is 11.9%, compared to just 2% among Millennials, showing the crisis is concentrated in the youngest cohort.
      4. Urban unemployment is sharper: Urban Gen Z unemployment rises to 17.1%, well above the national Gen Z average.
      5. Gender compounds urban unemployment: Urban young women face 22.6% unemployment, the highest among all sub-groups measured.

      How Does Gender Deepen the Employment Crisis for Gen Z?

      1. Domestic duties as exclusion: 27.1% of Gen Z women are engaged only in domestic duties, against just 0.32% of Gen Z men, pulling them out of the labour force altogether.
      2. Low regular wage employment for women: Only 4.7% of Gen Z women hold regular wage jobs, compared to 14.8% of Gen Z men.
      3. Male LFPR advantage: Male labour force participation stands at 59.3% in rural India and 51.3% in urban India, against just 28% and 21.1% respectively for young women.
      4. Structural, not just economic, barriers: Childcare burdens, safety concerns, mobility constraints, and social norms keep women out of paid work, independent of job availability.
      5. Demographic dividend undermined: A large share of young women outside the paid economy weakens the case that India is fully harnessing its demographic dividend.

      Why Does More Education Correlate with Higher Unemployment? 

      1. Graduate unemployment exceeds average: Among Gen Z men with graduate-level education or above, unemployment stands at 29%, and among Gen Z women at 36.9%, both far above the respective cohort averages.
      2. Inverted assumption: Education is expected to lower unemployment; instead, unemployment rises at the highest education levels, contradicting the standard human capital logic.
      3. Persists across cohorts: Millennial graduate unemployment is 5.2% for men and 13.8% for women, confirming the pattern is not unique to Gen Z alone but is sharper for Gen Z.
      4. Root cause is mismatch: The gap reflects a mismatch between what the education system produces and what the labour market demands, not merely a shortage of degree-holders.
      5. Technology reshapes demand: Automation and growing adoption of artificial intelligence are altering the nature of available jobs, widening the skill mismatch further.
      6. Risk of delay compounding: When higher education does not convert quickly into employment, frustration rises, family investment in education comes under strain, and confidence in the growth story weakens.

      Why Is Social Security Coverage a “Mirage” Even for Employed Gen Z?

      1. Low social security coverage: Only 20.1% of Gen Z individuals are covered by social security, leaving the vast majority without protection even when employed.
      2. Job contracts are rare: Just 14.1% of Gen Z workers have a formal job contract; among the 79.9% lacking social security, only 3.2% have a job contract.
      3. Contractual employment is the exception: Only 17.3% of Gen Z workers hold any form of contractual employment, meaning most enter the workforce without either a contract or social protection.
      4. Informalisation within formal employment: Recent years show growing evidence of informalisation of formal employment among Gen Z, meaning even formal-sector jobs are losing security features.
      5. Millennials are only marginally better: Only 26% of Millennials have a job contract and 28.6% are covered by social security, showing the informality problem extends across cohorts, not just Gen Z.
      6. Social cost visible: Large-scale labour protests by industrial and factory workers in Noida, Uttar Pradesh, demanding higher wages and better working conditions, reflect the frustration insecure and poorly protected employment can produce.

      Why Must India Treat Unemployment, Skilling, Women’s Work, and Informality as One Problem?

      1. Debate wrongly siloed: India’s jobs debate is usually discussed separately as unemployment, skilling, women’s work, and labour force participation, obscuring their common origin.
      2. Single connected failure: All four are facets of one connected failure of labour market transition, where education is prolonged but the bridge from education to work remains weak.
      3. Skilling alone is insufficient: Skill programmes have value but cannot substitute for actual job creation, since the binding constraint is demand for labour, not only its quality.
      4. Structural, not motivational, barrier for women: Women face structural barriers that keep them out of work or push them into unpaid roles, and even when employed, work is too often outside formal protection.
      5. Precondition for resolution: Expanding labour-intensive sectors, strengthening school-to-work pathways, aligning training with employer needs, and enabling women’s paid work through apprenticeships, hiring incentives, safe transport, and childcare support are named as the necessary conditions for change.

      Conclusion

      India’s demographic dividend is faltering not from a shortage of young workers but from a labour market unable to convert education into secure, well-paid work; unemployment rises rather than falls with higher education, and even the employed largely lack contracts or social security. Until labour-intensive job creation, skilling-employer linkages, and women’s structural access to work are addressed together rather than in silos, the demographic dividend will remain, in the article’s own words, a promise deferred.

    3. Making Sense of Embodied AI: The Next Frontier in Robotics

      Why in the News?

      On April 14, Boston Dynamics and Google DeepMind gave Spot, a robot dog long confined to scripted routines, an AI brain (Gemini Robotics-ER 1.6). This revived global interest in “embodied AI” as robots moved from labs into real-world settings such as the FIFA World Cup 2026 football field and America’s Got Talent. This has sharpened the debate over whether robotic intelligence is fundamentally a software problem or one rooted in the physical body itself.

      What does ’embodied AI’ actually mean, and why is intelligence not just software placed in a robot body?

      1. Definition: Embodied AI is a paradigm of artificial intelligence where algorithms are integrated into physical systems (such as humanoid robots, robotic arms, and autonomous vehicles) to perceive, learn from, and interact with the physical world through sensory motor control.
      2. Body as computation, not container: Researchers argue a robot’s body is not merely a delivery mechanism for intelligence but part of the computation itself. This claim is advanced by Rolf Pfeifer (Zurich) and Josh Bongard (Vermont) in How the Body Shapes the Way We Think.
      3. Subsumption architecture: Rodney Brooks showed in the late 1980s-90s that layered reflexes coupled directly to sensors and motors can produce robust real-time behaviour without any internal world-model. This challenged the dominant symbolic-AI paradigm of the time.
      4. Morphological computation: Physical body structure offloads work that would otherwise require a brain. A passive-dynamic walker descends a slope using only leg geometry, with no motors or control system.
      5. Adaptive material design: A soft, compliant robotic hand grips oddly shaped objects without an explicit shape model, because the material itself deforms and adapts.
      6. Common thread: Across Pfeifer’s lab, Brooks’s robots, and today’s humanoids, intelligence is distributed between brain, body, and environment, not confined to one part.

      Why does mastering the physical world remain far harder for AI than mastering language and images?

      1. Different learning problem: Unlike chatbots trained on text, images, and video, embodied AI must master gravity and balance across countless physical scenarios a robot may face.
      2. Simulation-to-real gap: Success in simulation rarely translates perfectly to the real world, since simulated environments cannot capture every physical contingency.
      3. Market-performance mismatch: The embodied AI market is projected to reach $23 billion by 2030, yet most humanoid robots still run only about 90 minutes on a charge.
      4. Lab-to-field performance drop: Policies that succeed 95% of the time in the lab drop to roughly 60% in the real world.
      5. Central bottleneck: The gap between demo and deployment remains the field’s unglamorous but defining problem.

      How does embodied AI differ from neuromorphic AI, despite both drawing on biology?

      1. Different questions: Embodied AI asks where intelligence lives, treating cognition as distributed across brain and body; neuromorphic AI asks how the processor itself is built.
      2. Hardware-agnostic: Embodied AI is largely indifferent to processor type; a robot’s “brain” can run on an ordinary GPU cluster.
      3. Spiking neural networks (SNNs): Neuromorphic AI most commonly uses SNNs, where each neuron fires only once incoming signals cross a threshold, suiting time-sensitive tasks like motion sensing.
      4. Power efficiency: Neuromorphic chips consume energy only when neurons are actively spiking, making them notably power-efficient.
      5. Convergence in practice: A growing body of research on “embodied neuromorphic intelligence” places spiking, event-driven chips inside physical robots specifically for their low power draw and fast response.

      How can co-designing body and brain through evolutionary computation address the body-task mismatch?

      1. The design question: If bodies perform computation, the right approach is to design the body for the task, rather than bolting an AI model onto whatever frame engineers have already built.
      2. Jin’s argument: Yaochu Jin, Alexander von Humboldt Professor at Bielefeld University, holds that neural control and physical form must be developed together, not designed separately and combined.
      3. Biological parallel: This mirrors how biological organisms grow nervous systems and bodies in tandem, shaped by continuous environmental feedback.
      4. Research focus: Jin’s work centres on co-evolving nervous systems and morphology, and on how environmental feedback shapes an organism’s sensory distribution.
      5. Practical payoff: Evolutionary computation lets simulated robot populations compete and replicate based on task performance before any physical prototype is built, addressing the costly, slow problem of manually re-engineering hardware whenever a task changes.

      Why is embodied AI a systems challenge that no single breakthrough can resolve?

      1. Persistent sim-to-real gap: Policies trained cheaply in simulation, run millions of times over, still degrade sharply once deployed on real hardware.
      2. Speed-reflex mismatch: Reasoning models are often too slow for robot limbs that must react in milliseconds, forcing a split between heavy “thinking” done off-device and lighter reflexive control on the robot itself.
      3. Hardware fragility: Short battery runtimes and vulnerable components undercut otherwise successful pilots.
      4. Data scarcity: Embodied systems lack an internet-scale training corpus. The Open X-Embodiment dataset and Generalist AI’s GEN-0 are early attempts to build one, but real-world deployment needs at least tens of millions of hours of training data.
      5. A systems problem, not just a software one: Safe deployment depends on sensors, hardware robustness, operational design limits, human interaction, cybersecurity, and organisational processes, not algorithms alone. Regulators must define evidentiary standards for deploying learning-enabled robots.
      6. Form factor as evidence: Boston Dynamics’ Atlas adapting to uneven turf at the FIFA World Cup 2026, and China’s Unitree G1 robots performing alongside professional dancer Wu Yufei on America’s Got Talent Season 21, show gains coming as much from redesigned quadruped and avian-inspired forms as from smarter software.

      Conclusion

      Embodied AI reframes robotic intelligence as something distributed across brain, body, and environment, not a software layer simply installed onto hardware. Progress is bottlenecked not by algorithmic sophistication but by physical constraints, the simulation-to-real gap, data scarcity, actuation-speed mismatches, and bodies poorly matched to their tasks. Closing this gap requires treating embodied AI as a systems-engineering and regulatory challenge, including the evolutionary co-design of body and brain, rather than a problem that better software alone can solve.

      PYQ Relevance

      [UPSC 2015] What are the areas of prohibitive labour that can be sustainably managed by robots ? Discuss the initiatives that can propel research in premier research institutes for substantive and gainful innovation.

      Linkage: The PYQ asks what areas of prohibitive labour can be sustainably managed by robots, and what initiatives can propel research in premier institutes for gainful innovation. It connects to the article’s broader theme of advancing robotics research.

    4. Electronic Gold Receipts: A New Way to Own Gold

      Why in the News?

      The National Stock Exchange (NSE) introduced Electronic Gold Receipts (EGRs) in May 2026, a new exchange-traded segment for buying and selling gold electronically. The launch extends a SEBI-led regulatory push, begun in 2021, to move gold ownership from informal physical custody into standardised market infrastructure.

      What Explains the Shift from Physical Gold Custody to Exchange-Based Receipts?

      1. Definition: An EGR is an exchange-traded security representing ownership of physical gold of a specified purity, held in SEBI-regulated vaults and tradeable electronically through a demat account.
      2. Regulatory foundation laid in 2021: SEBI approved the framework for Gold Exchange and the SEBI (Vault Managers) Regulations, 2021 on September 28, 2021.
      3. Legal status as securities: The Centre notified EGRs as securities under the Securities Contracts (Regulation) Act, 1956 in December 2021.
      4. Risk framework added in 2022: SEBI issued a Comprehensive Risk Management Framework for EGRs on April 1, 2022, completing the regulatory base for EGR trading.
      5. First mover was BSE, not NSE: The Bombay Stock Exchange received SEBI’s final approval in September 2022 and launched EGR trading on October 24, 2022, starting with 995 and 999 purity products traded in multiples of 1 gram.

      How Do EGRs Function as a Market Instrument?

      1. Trading window: EGRs trade Monday to Friday, from 9 a.m. to 11:30 p.m., extended to 11:55 p.m. during the U.S. daylight saving period.
      2. Settlement cycle: EGRs follow a T+1 settlement cycle, with receipts credited to the buyer’s demat account the next trading day.
      3. Eligible participants: Retail investors, jewellers, bullion traders, refiners and institutional investors can all buy EGRs through registered stockbrokers.
      4. Dual account requirement: Both a trading account and a demat account are mandatory to buy and sell EGRs.
      5. Purity and denomination structure: EGRs are available in 999 (99.9% pure) and 995 (99.5% pure) standards, each offered in six denominations from 10 mg to 1 kg.

      What Advantages Does the EGR Structure Offer Over Traditional Gold Ownership?

      1. Transparent price discovery: Exchange trading ensures a uniform gold price across India at any given point in time, unlike fragmented physical jewellery market pricing.
      2. Removal of storage and purity risk: Gold backing an EGR is held in SEBI-regulated vaults, removing the investor’s need to store gold at home or verify its purity independently.
      3. Liquidity and settlement guarantee: EGRs can be bought and sold during market hours with an exchange-backed settlement guarantee.
      4. Flexible entry points: Denominations from 10 mg to 1 kg allow both first-time small investors and larger accumulators to participate.
      5. Portfolio diversification and fungibility: EGRs can be held as a financial asset within a broader investment portfolio while retaining the option of conversion to physical gold.

      Does the Promise of Seamless Convertibility Between Physical and Electronic Gold Hold Up in Practice?

      1. Layered transaction costs: Beyond the purchase cost, investors bear brokerage, demat (depository) charges and vault-storage charges for holding EGRs electronically.
      2. Additional costs on conversion: Investors opting for physical delivery must separately bear purity testing and transportation charges not applicable to those who stay electronic.
      3. Tax asymmetry: EGR trading itself attracts no GST, but converting an EGR into physical gold triggers 3% GST on the gold value, the same as buying physical gold directly.
      4. Practical implication: The cost structure rewards investors who remain within the electronic system and penalises the physical-conversion route, so electronic and physical gold are not fully interchangeable in cost terms even though they are interchangeable in form.

      Conclusion

      EGRs formalise India’s gold market by converting informal physical gold holding into a SEBI-regulated, exchange-traded financial instrument with transparent pricing and vaulted custody. The layered brokerage, storage and conversion charges, particularly the 3% GST triggered only on physical delivery, show that electronic and physical gold remain only partially fungible in cost terms. 

      PYQ Relevance

      [UPSC 2015] Craze for gold in Indians have led to a surge in import of gold in recent years and put pressure on balance of payments and external value of rupee. In view of this, examine the merits of Gold Monetization Scheme.

      Linkage: The PYQ discusses the Gold Monetization Scheme, introduced to channel idle household gold into the formal economy and ease pressure on India’s balance of payments. Both the PYQ and the article concern state efforts to formalise gold within the financial system.