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GS Paper: GS3

  • Atmanirbharta in fuel must strengthen, not undermine, India’s food security

    Atmanirbharta in fuel must strengthen, not undermine, India’s food security

    Why in the News

    The all India modal retail price of sugar has climbed from around Rs 45 a kg to about Rs 65 a kg within a month, an increase of nearly 44 per cent. The Union government has attributed the rise to hoarding by traders and millers and has threatened strict action. The rise follows a tightening of supply on three counts at once, arriving just before the festive season when sugar demand typically rises. The tension is that the same government fixes cane prices, sugar sales, imports, exports and the allocation of feedstock to ethanol, so a price spike inside a fully administered chain is a policy outcome rather than a market one.

    What is the Ethanol Blended Petrol Programme?

    1. What it requires: Oil marketing companies blend a mandated share of ethanol into the petrol they sell, which substitutes domestically produced fuel for imported crude.
    2. What it runs on: Ethanol is produced from sugarcane juice, syrup and molasses, and from surplus foodgrain such as rice and maize.
    3. How fast it scaled: Blending stood at 1.53 per cent in 2013-14, reached around 5 per cent by 2019-20 and 20 per cent in 2025-26, and feedstock supply did not keep pace with that trajectory.

    Why did sugar prices spike?

    1. The opening cushion had halved: Stocks at the start of the current sugar year, which runs October to September, were 5 million tonnes against 8 million tonnes a year earlier, leaving little room to absorb a fresh shock.
    2. Production came in below estimate: The 2025-26 output estimate was cut from about 34.3 million tonnes to 30.6 million tonnes on damage from red rot, a fungal disease that rots the cane stalk and destroys sucrose, and from top borer. About 27.35 million tonnes had been produced by June, so 3.25 million tonnes would have to arrive between July and September against a six season average of only 0.38 million tonnes for those months, pointing to a further cut to between 28 and 29 million tonnes.
    3. Ethanol removed supply at the worst moment: The ethanol programme diverted about 2.75 million tonnes of sugar at a time when supplies were already tight. That diversion is what turns energy policy into a competitor of the food market.

    Why can the market not correct the shortage on its own?

    1. Price signals are not allowed to act: In a more open economy a production shortfall corrects itself as higher prices pull in imports and trim consumption.
    2. Every step is administered: Sugarcane pricing, sugar sales, imports, exports and ethanol feedstock allocation are all decided by the government, so a correction has to be ordered rather than triggered.
    3. The calendar closes the escape route: Fresh cane will not reach mills in significant quantity until mid October, so the market must run on existing stocks through the festive demand peak.

    What correction does the assessment call for?

    1. Imports opened too narrowly: One million tonnes of duty free raw sugar has been allowed, against an assessed requirement of at least 3 to 4 million tonnes of refined sugar reaching the open market before and during the festive season. The 100 per cent import duty on refined sugar should be cut to zero or to 5 per cent.
    2. Shift the ethanol feedstock temporarily: Sugar based ethanol should be reduced sharply, with rice from Food Corporation of India (FCI) stocks held far above buffer norms taking its place. FCI should charge ethanol plants at least the procurement price of rice, if not its full economic cost.
    3. Import ethanol or lower the mandate: Ethanol can be imported directly when domestic feedstock is pushing up food prices, or the blending share can be brought down from 20 per cent to about 15 per cent.

    Does switching feedstock end the food versus fuel trade off?

    1. Maize is the least thirsty option: Maize does not consume as much water as rice or sugarcane, and it is already being used as a primary ethanol feedstock.
    2. Yield is the binding constraint: Maize productivity in India hovers around 3.5 tonnes per hectare against about 11 tonnes per hectare in the United States, so the surplus that fuel demand needs does not exist.
    3. The pressure moves to protein: Diverting more maize without a matching rise in output raises maize prices, and that passes into poultry meat, eggs and milk, where maize is the main feed.
    4. The trade off relocates rather than ends: Moving from sugar to rice or maize shifts the food versus fuel choice to a different crop, and closing it requires a large maize surplus, which raises the question of whether India will permit the genetically modified maize that drives United States yields.

    How should the ethanol programme be recalibrated?

    1. The basic number is missing: The net energy balance of each feedstock, meaning the energy returned against the energy spent producing it, has not been established, so allocation is being decided without it.
    2. Let the buyer choose the feedstock: Oil marketing companies could be given flexibility to source ethanol from the most economical feedstock, subject to safeguards for food security, farmers and the environment, in place of a rigid allocation from sugar, rice and maize.
    3. The state’s role narrows to the buffer: Government should hold strategic buffers and enforce food security safeguards rather than manage every feedstock allocation, and the programme itself needs a full evaluation of its design.

    Challenges to the Ethanol Blended Petrol Programme

    1. Capacity was financed against a fixed mandate: Distillery capacity was built on the assurance of a fixed blending share and long term offtake, so any temporary cut leaves loans outstanding against idle plants. Eg. The Ethanol Interest Subvention Scheme financed new and expanded distilleries through soft loans carrying a 6 per cent interest subvention. Fix. Convert the fixed target into a band with a stated floor, so capacity is financed against the floor rather than against a single number.
    2. The efficiency cost sits with the vehicle owner: Ethanol carries lower energy density than petrol, so mileage falls in engines not calibrated for the blend. Eg. Vehicles built before E20 compatibility became standard draw the same blend at the pump with no compensating price difference. Fix. Retain a lower blend grade at outlets serving older fleets, and publish blend specific mileage data at the pump.
    3. Two administered prices move at different speeds: The government fixes both the cane price and the ethanol procurement price, and only the cane price has been revised upward in successive seasons. Eg. Mills carrying distillation capacity report underutilisation as the margin on ethanol narrows. Fix. Index the ethanol procurement price to the cane price fixed under the same control order.
    4. The gains cluster geographically: Distillery capacity follows cane and grain surpluses, so the income the programme creates concentrates in a few States. Eg. Uttar Pradesh and Maharashtra, the two largest cane producing States, hold the bulk of cane based distillation capacity. Fix. Weight new capacity approvals toward maize growing districts, where the water saving is also largest.

    Conclusion

    Fuel self reliance and food security are traded against each other because the blending target was fixed as a number and the feedstock left to catch up. What to watch is whether the correction stops at emergency imports or reaches the design: a blending band replacing a fixed share, and feedstock chosen by the buyer against a stated food security safeguard. The maize yield gap decides whether the trade off can be closed at all rather than merely moved.

    The Sugar Industry in India

    1. Scale and geography: India is the second largest sugarcane producer, with output of 454.61 million tonnes in 2024-25, drawn mainly from Uttar Pradesh and Maharashtra.
    2. The dependent population: About five crore cane farmers and their families depend on the crop, alongside mill and ancillary unit workers.
    3. Mills are multi product units: Beyond sugar, a mill earns from ethanol, bagasse co-generated power, and press mud biogas and bio-fertiliser.

    Laws and Rules Governing the Sugar and Ethanol Sector

    1. Essential Commodities Act, 1955: Sugar is a scheduled commodity under it, so the Centre can impose stock limits and regulate sale and distribution.
    2. Sugarcane (Control) Order, 1966: Issued under that Act, it is how the Centre fixes the Fair and Remunerative Price payable by mills to cane growers.
    3. National Policy on Biofuels, 2018: Sets ethanol blending targets and permits cane juice, syrup, molasses and surplus foodgrain as feedstock, its 2022 amendment advancing the 20 per cent target.
    4. Foreign Trade (Development and Regulation) Act, 1992: Sugar exports are regulated through notifications issued under it, which placed raw, white and refined sugar in the prohibited category.

    Government Initiatives for the Sugar Sector

    1. Sugar Development Fund: Provides concessional loans for mill modernisation, crushing capacity expansion, co-generation and cane development.
    2. Pradhan Mantri JI-VAN Yojana: Supports second generation ethanol from crop residue rather than food grade feedstock.

    Challenges in the Sugar Sector

    1. Cane price and sugar price move independently: The Fair and Remunerative Price rose from Rs 285 a quintal in 2020-21 to Rs 340 in 2024-25 and Rs 355 for 2025-26, and the minimum selling price of sugar has stayed at Rs 31 a kg since 2019. Eg. Cane arrears recur in Uttar Pradesh whenever mill realisation lags the obligatory cane price. Fix. Adopt the Rangarajan Committee’s revenue sharing formula, linking cane payment to realisation from sugar and by-products.
    2. Export policy doubles as an inflation tool: Raw, white and refined sugar sit in the prohibited export category to protect domestic stocks and ethanol feedstock, costing mills global market access. Eg. Exporters lose long term contracts each time the category is switched mid season. Fix. Announce an export quota at the start of each sugar season against a stated closing stock norm, letting mills contract ahead.
    3. The highest recovery belt is the most water stressed: Maharashtra, Karnataka and Tamil Nadu record higher sucrose recovery and face the sharpest groundwater depletion. Eg. El Nino years have cut cane availability in Maharashtra and Karnataka and closed crushing seasons early. Fix. Make drip irrigation and fertigation under the Pradhan Mantri Krishi Sinchayee Yojana a condition for cane area expansion, with early maturing drought resistant varieties.
    4. The northern belt crushes longer and recovers less: Uttar Pradesh and Bihar run longer crushing seasons on lower sucrose recovery, with fragmented landholdings raising cane aggregation costs. Eg. A single national recovery benchmark treats a Bihar mill and a Kolhapur mill as comparable. Fix. Set belt specific recovery, crushing and payment benchmarks rather than one national norm.

    “[2025] Consider the following statements:

    Statement I: Of the two major ethanol producers in the world, i.e., Brazil and the United States of America, the former produces more ethanol than the latter.

    Statement II: Unlike in the United States of America, where corn is the principal feedstock for ethanol production, sugarcane is the principal feedstock for ethanol production in Brazil.

    Which one of the following is correct in respect of the above statements?

    (a) Both Statement I and Statement II are correct and Statement II explains Statement I

    (b) Both Statement I and Statement II are correct but Statement II does not explain Statement I

    (c) Statement I is correct but Statement II is not correct

    (d) Statement I is not correct but Statement II is correct

  • [31st August 2026] The Hindu OpED: Adopt policies for reuse of treated water

    [31st August 2026] The Hindu OpED: Adopt policies for reuse of treated water

    Question (2025, GS3): “Examine the factors responsible for depleting groundwater in India. What are the steps taken by the government to mitigate such depletion of groundwater?
    Linkage: The safe reuse of treated water is a critical step in mitigating groundwater depletion. By directing treated wastewater to agricultural fields (“farms”) and industrial units (“factories”), states can significantly reduce their dependence on fresh groundwater extraction.

    Mentor Comment

    Uttar Pradesh and Uttarakhand have notified treated wastewater reuse policies built for their own geography rather than on a single national template. Both were framed through an extensive consultative process, and both separate the needs of hill communities from those of densely populated plains. They follow the National Framework on Safe Reuse of Treated Water (SRTW), 2022, which made reuse a stated national priority and required States to frame reuse policies of their own. The tension is that sewage treatment capacity has already been built at scale under the Atal Mission for Rejuvenation and Urban Transformation (AMRUT), the central urban mission that funds water supply and sewerage, and a plant discharging into a drain rather than into a farm or a factory returns no water to the system.

    What is the National Framework on Safe Reuse of Treated Water, 2022?

    1. What it establishes: It sets the national position that reuse of treated water is a priority rather than a peripheral option, which is a policy signal as much as a guidance document.
    2. How it devolves: It requires States to develop their own reuse policies, on the reasoning that water solutions are local even where the ambition is national.

    What makes the two State policies a departure from template policymaking?

    1. Geography is written into the policy: Each policy accounts for the stark internal diversity of its State, treating hill settlements and dense plains as different reuse problems.
    2. Reuse is matched to purpose: Both embed fit for purpose reuse, so water is treated to the standard its end use needs rather than to a single quality for every user.
    3. Reuse is tied to other plans: Both integrate reuse with urban planning and with river rejuvenation, instead of running it as a standalone sanitation activity.
    4. Financing and monitoring are built in: Both carry community participation, blended finance and public private partnership pathways, and digital monitoring systems that make reuse accountable.

    Why does built treatment capacity not become reuse?

    1. A plant without an offtake is idle capacity: National missions have scaled treatment infrastructure, and pipes and plants alone do not close the loop when the output goes into a drain.
    2. Departments do not work together: Utilities, urban departments, irrigation agencies and industries operate in silos, and reuse succeeds only where they operate as one chain.
    3. There is no price signal: Reuse becomes economically rational only when pricing reflects what freshwater actually costs the system.
    4. End users have no assurance: Quality standards are what give a farmer or a factory confidence to take treated water as an input.
    5. National ambition has no local plan: City level roadmaps are what convert a national framework into action by a specific municipal body.

    What is the economic case for reuse?

    1. A supply that does not fail: Treated wastewater offers agriculture, industry, urban landscaping and ecological restoration a reliable and drought proof supply, which is increasingly rare.
    2. It reduces a costly dependence: Reuse cuts expenditure on sourcing fresh water and builds climate resilience into a city’s water balance.
    3. It removes a ceiling on growth: Industrial and urban expansion can proceed without straining existing freshwater supplies, and it supports low carbon urban development at scale.
    4. The case has not been made to the decision maker: Until this computable value is put clearly to State governments and planners, the policy remains an aspiration rather than a budget line.

    What decides whether a State actually adopts reuse?

    1. Money comes from convergence, not new allocations: The financial momentum for reuse targets is unlocked by identifying synergies with already funded schemes rather than by fresh budgetary provision.
    2. Public resistance is the deeper constraint: Misconceptions about the safety of treated water run deep, which is why the national framework and both State policies name treated water Apna Jal, our water.
    3. The shift required is psychological: No document can produce acceptance on its own, and the naming choice is an attempt to change how the resource is perceived before it is used.
    4. Delay compounds: States without a clear reuse plan for water security are not merely behind others, they are running out of time to catch up.

    Challenges to the National Framework on Safe Reuse of Treated Water, 2022

    1. The Framework carries no enforceable target: It directs States to frame reuse policies and fixes no volume any State must actually reuse, so a policy can be notified without a single litre changing hands. Eg. Maharashtra’s obligation to reuse 20 per cent of effluent comes from its own State water regulator rather than from any national instrument. Fix. Attach a reuse share to the consent to discharge issued under the Water (Prevention and Control of Pollution) Act, 1974, so the obligation sits on the discharger.
    2. Supply is continuous and demand is seasonal: A treatment plant produces a steady flow around the clock and agricultural offtake follows the cropping calendar, and the storage that bridges the two is rarely built. Eg. Chennai contracted its tertiary treatment output to industrial users in the Manali belt precisely because industry draws a steady year round volume. Fix. Contract an anchor buyer before a plant is commissioned rather than after it is built.
    3. Reuse in food crops carries a health exposure: Irrigation with partially treated sewage moves pathogens and heavy metals into the food chain, and the risk falls on consumers who never chose the input. Eg. The Musi river corridor downstream of Hyderabad has long been irrigated with untreated and partially treated sewage. Fix. Enforce end use specific quality tiers, with the strictest limits for crops eaten raw.
    4. The certifier is also the enforcer: State Pollution Control Boards must certify effluent quality and simultaneously prosecute the dischargers they certify, and they are thinly staffed for either task. Eg. Central Pollution Control Board reviews have repeatedly found a large share of sewage treatment plants operating outside discharge norms. Fix. Separate reuse quality certification from the enforcement function, and staff the certification arm to the number of plants it must clear.

    Conclusion

    The variable that decides reuse is not how much treatment capacity exists but who has contracted to take the output. What to watch is whether the States that have notified policies convert a stated reuse target into signed offtake agreements with irrigation agencies and industry, since that is the point at which a policy becomes a volume of water. The measure worth tracking is the share of treated sewage actually reused, not the share treated.

    Reuse of Treated Water in India

    1. What the activity is: Sewage or industrial effluent is processed to a defined quality standard and then supplied for a use that does not require freshwater.
    2. How little is recovered: Around 28 per cent of India’s sewage is treated and barely 3 per cent of that is beneficially reused, per the Central Pollution Control Board (CPCB).
    3. The resource ahead: Over 35,000 million cubic metres of treated wastewater is expected to be available by 2050.
    4. Why the resource matters: India holds around 18 per cent of the world’s population and about 4 per cent of its freshwater, and per capita availability had fallen to 1,486 cubic metres by 2021, below the 1,700 cubic metre stress threshold.

    Laws and Rules Governing Reuse of Treated Water

    1. Water (Prevention and Control of Pollution) Act, 1974: Created the Central Pollution Control Board and the State Pollution Control Boards, and made the discharge of sewage or trade effluent into a water body subject to their consent.
    2. Water (Prevention and Control of Pollution) Amendment Act, 2024: Rationalised the penalty regime, replacing prosecution for a set of minor offences with monetary penalties decided by an adjudicating officer.
    3. Environment (Protection) Act, 1986: The source of the effluent discharge standards a treatment plant must meet before its output is discharged or supplied to a reuse customer.
    4. Entry 17 of the State List: Water supply, irrigation and drainage are State subjects, which is why a national framework can direct States to act but cannot itself operate a reuse policy.

    Government Initiatives for Reuse of Treated Water

    1. Namami Gange Programme: Funds sewage treatment across the Ganga basin, including colony level decentralised plants and the reuse of treated water for irrigation.
    2. National Water Mission: Targets a 20 per cent improvement in water use efficiency, with reuse counted as a demand side measure alongside conservation.
    3. Maharashtra Water Resources Regulatory Authority mandate: The State regulator requires 20 per cent effluent reuse, a model NITI Aayog has endorsed for wider adoption.
    4. Water Reuse Certificates: Developed by the World Bank hosted 2030 Water Resources Group, these are tradable permits on a cap and trade model, with higher quality treated water earning more credits.
  • Why regulators are tightening the cybersecurity net around India’s financial sector

    Why regulators are tightening the cybersecurity net around India’s financial sector

    Why in the News

    The Securities and Exchange Board of India (SEBI) has introduced an IT Resilience Index for Market Infrastructure Institutions, converting cyber preparedness into a periodically computed score rather than a one time compliance certificate. The same circular aligns the regulator’s cyber incident reporting portal for regulated entities with a standardised Format for Incident Reporting Exchange (FIRE), a common template that lets an incident be reported in stages as it unfolds. This follows the Reserve Bank of India (RBI) framework for banks and financial institutions issued last month, which mandates board level oversight, a dedicated information technology risk committee and a six hour window to report a cyber incident. Both regulators are responding to artificial intelligence lowering the cost of committing fraud at scale, including deepfake voices used to bypass Know Your Customer (KYC) verification. The tension is that resilience is now scored by the institution being scored, on a six monthly cycle, against threats that move in hours.

    What is the IT Resilience Index?

    1. What it covers: It quantifies the information technology readiness of Market Infrastructure Institutions, meaning the stock exchanges, clearing corporations and depositories through which trading and settlement actually happen.
    2. The nine parameters: Availability and security carry a weight of 20 per cent each, and integrity, governance, reliability and monitoring, modularity and flexibility, and business continuity carry 10 per cent each. Scalability and a residual “others” parameter carry 5 per cent each.
    3. The reporting cycle: Each institution computes the index half yearly and files it within 60 days of the end of each half year. The filing carries a comparative analysis of two consecutive half years on a rolling basis together with the corrective action taken.
    4. When it applies: The framework takes effect from early 2027 and carries an early warning system with continuous monitoring to flag risks before they mature.

    Why is cyber readiness being converted into a score?

    1. The stated risk: Disruption, degraded performance or compromise of these systems can hit critical market operations and damage trust in the securities market itself.
    2. A score reaches the board: Resilience expressed as a number can be measured and benchmarked, which moves it from the technology function into boardroom accountability.
    3. Direction matters more than a snapshot: A comparative filing across two consecutive half years shows whether an institution is improving or slipping, which a point in time audit cannot establish.

    How is incident reporting being standardised?

    1. One template across regulated entities: The reporting portal now follows the FIRE format, so incidents arrive in a comparable structure rather than in each entity’s own narrative.
    2. Reporting follows the incident life cycle: The format carries initial reporting, intermediate updates and a final closure, and it accepts that some information will not be available at the first report.
    3. Two regulators, two clocks: The banking regulator fixes a hard outer deadline for reporting by banks, and the market regulator fixes a staged format for its own regulated entities.

    How is artificial intelligence changing both the threat and the response?

    1. Fraud now scales cheaply: Synthetic voice is being used to defeat customer verification, and complex scams are being run against critical financial services institutions rather than only against individuals.
    2. Breaches have already landed: Cybersecurity threats infiltrated a number of banks during 2026.
    3. Guidelines are pending: The market regulator has said it will shortly issue guidelines for the responsible use of artificial intelligence and machine learning.
    4. The regulator is also a user: Artificial intelligence models already flag suspicious trading patterns, and a team has been constituted to build models covering corporate investigations, extending surveillance from trade data to filed quarterly results.

    Why is the response shifting into the account holder’s own hands?

    1. The killswitch idea: The banking regulator has flagged a mechanism allowing a user to freeze all financial transactions in their accounts during an ongoing fraud.
    2. The securities market is examining the same tool: The market regulator is evaluating a comparable mechanism as part of its artificial intelligence guidelines.
    3. Compensation was widened first: In June the banking regulator revised its fraud compensation mechanism, enlarging the set of victims who can claim and bringing newer digital scams into the definition of fraud.

    Challenges to the IT Resilience Index

    1. The score is self computed: An institution scores its own controls and files the result, so a weak control can be scored generously without an independent check. Eg. Lapses in access and system controls at a Market Infrastructure Institution surfaced in the co-location proceedings against the National Stock Exchange, not through its own reporting. Fix. Require third party assurance of the score before it is filed, in the same way financial statements are audited.
    2. A half yearly cadence cannot track a live intrusion: An index computed twice a year describes a posture, not an event that unfolds within a trading session. Eg. The National Stock Exchange outage of February 2021 halted cash and derivatives trading for close to four hours. Fix. Pair the half yearly score with a continuous telemetry feed to the regulator’s monitoring desk.
    3. The riskiest dependencies sit outside the perimeter: Cloud providers, data centres and software vendors are shared across institutions, and their failure is not captured by any single institution’s score. Eg. The CrowdStrike update failure of July 2024 disabled Windows systems at banks and airlines across several countries at once. Fix. Score vendor and cloud concentration explicitly, and require a tested failover to an alternative provider.
    4. Disclosure competes with reputation: An institution’s first instinct in a breach is containment, and a reporting clock runs against that instinct. Eg. The 2016 malware compromise of a payment switch led to about 32 lakh debit cards being recalled, and it surfaced weeks after the breach began. Fix. Make timeliness and completeness of incident reporting a scored parameter, so silence costs the institution its index.

    Conclusion

    Cyber readiness has been turned into a score, on the reasoning that a number reaches a board in a way an audit finding does not. The weakness is that the entity being scored computes its own score. The marker to watch is the first round of comparative filings, since that is when it becomes clear whether the index is measuring behaviour or documentation.

    Matching Previous Year Question

    “[2022, GS3, 10 marks] What are the different elements of cyber security? Keeping in view the challenges in cyber security, examine the extent to which India has successfully developed a comprehensive National Cyber Security Strategy.”

  • In a first, Rlys to build 6 freight lines with pvt firms using highways’ hybrid funding model

    Why in the News

    The Public Private Partnership Appraisal Committee under the Ministry of Finance has approved six railway lines spanning 647 km along freight corridors, to be built under the Hybrid Annuity Model. This is the first time Indian Railways will implement a project under the model, which was developed for the highways sector to split project costs and risks between the government and the private builder. The Committee had earlier given in principle approval to the same projects under the Design, Build, Finance, Operate and Transfer (DBFOT) model, and switched to the Hybrid Annuity Model after market feedback. The tension is that attracting private capital required Indian Railways to keep the traffic and tariff risk on its own books, so the financing burden moves. The demand risk does not move with it.

    How does the Hybrid Annuity Model work here?

    1. The construction cost is split: Indian Railways pays 40 percent of the bid project cost as a grant during the construction period. The private party finances the remaining 60 percent.
    2. Repayment begins after commissioning: Once the line is operational, Indian Railways repays the private party’s 60 percent through annuity instalments, plus interest on the annuity.
    3. Maintenance is paid separately: Indian Railways also makes regular payments to the concessionaire for maintenance of stations, tracks and other assets.
    4. Operations stay public: Indian Railways operates the trains and collects all freight revenue.

    Which lines were cleared and what will they carry?

    1. Four of the six lines are in Odisha: These are the 49.58 km Balaram-Putgadia-Tentuloi inner corridor, the 112.56 km Budhapank-Tentuloi-Luburi outer corridor, the 101.26 km Jajpur-Keonjhar Road-Aradi-Dhamara Port line, and the 48.96 km line from Tikiri Station to the Waltair bauxite mines.
    2. Telangana carries the longest line: The 207.80 km Manuguru to Ramagundam line is the single largest of the six.
    3. Jharkhand carries the sixth: The 126.52 km Pakur to Godda line completes the set.
    4. Coal dominates the freight mix: The key commodities on these routes are primarily coal, along with iron ore, bauxite, coke, chemical manure, cement and food grains.

    What does the switch away from DBFOT change?

    1. Risk allocation moved to the public side: The Ministry of Railways would bear the traffic and tariff risks under the proposed structure, per the minutes of the Committee meeting held on 1 August.
    2. The private party is insulated from demand shortfalls: If freight loading or revenue falls below target, the private party is not penalised.
    3. Bid conditions remain to be fixed: The request for proposal will specify the minimum tenure of the agreement, the roles of the engineering, procurement and construction contractor, and the circumstances in which such arrangements are permitted.

    What is the money and the sequence?

    1. Two cost figures govern the projects: The total bid project cost of the six lines is Rs 15,976 crore, and the total capital cost covering the entire concession period is Rs 40,866 crore.
    2. The concession runs 17 to 19 years: That period covers construction, operation and the annuity repayments.
    3. Approval is not yet final: The projects go to the Union Cabinet before bids are invited.
    4. The build starts at the end of the decade: Bidding is expected in the 2027-28 financial year and construction of all six projects is proposed to commence from April 2028.

    Where does this sit in the Railways’ private investment record?

    1. Completed projects are modest in value: 18 projects worth Rs 16,686 crore have been completed through the public private partnership model in Indian Railways.
    2. Seven are under implementation: These are worth Rs 16,362 crore and include coal and port connectivity projects.
    3. The pipeline is far larger than the record: 49 other projects, costing around Rs 1.80 lakh crore, await execution under the partnership mode.
    4. The policy menu was widened deliberately: Indian Railways recently added the Hybrid Annuity Model and the Development Partner Model to its participative policy, to overcome financial bottlenecks and attract long term private capital.

    Challenges to the Hybrid Annuity Model in railways

    1. Annuity payments create long dated committed liabilities: Deferring 60 percent of the cost converts a capital expenditure decision into a fixed claim on operating revenue for nearly two decades. Eg. The National Highways Authority of India’s annuity and deferred payment obligations under its hybrid annuity projects have become a standing charge on its balance sheet. Fix. Publish a consolidated annuity liability statement alongside the Railway budget so the future claim is visible when the project is sanctioned.
    2. Freight demand is concentrated in a single commodity: Corridors built primarily for coal are exposed to a policy driven decline in thermal coal movement over the concession period. Eg. Coal accounts for roughly half of Indian Railways’ freight tonnage and a larger share of its freight earnings. Fix. Structure the corridors for multi commodity handling and terminal access rather than dedicated colliery to plant movement.
    3. Land acquisition and forest clearance drive the delay risk: Mineral corridors in Odisha and Jharkhand cross forest land and scheduled areas where consent and clearance timelines are unpredictable. Eg. Rail connectivity projects to mining belts have run past a decade waiting on forest clearance and rehabilitation settlements. Fix. Make financial closure conditional on prior possession of a defined share of the alignment, as the highways sector now requires.
    4. Dispute resolution has been the weak link in the highways precedent: Disagreements over cost variation, change of scope and delay attribution have taken years in arbitration. Eg. Arbitration claims against the highways authority have run into tens of thousands of crore rupees across concession disputes. Fix. Provide for a standing independent engineer with binding interim determinations written into the concession agreement.

    Conclusion

    The design question the model leaves open is whether shifting the financing burden to private balance sheets actually reduces the state’s exposure or merely reschedules it. Demand risk is retained on the public balance sheet either way. What to watch is the bid response once the Union Cabinet clears the projects and the request for proposal is issued, since the number of qualified bidders is the only real test of whether the risk split is priced as attractive.

    Back2Basics

    1. Location: It functions under the Department of Economic Affairs in the Ministry of Finance.
    2. Mandate: It appraises and approves central sector public private partnership projects above a specified cost threshold.
    3. Composition: It is chaired by the Secretary, Department of Economic Affairs, with the sponsoring ministry and the planning and legal departments represented.
    4. Process: It grants in principle approval at the project structuring stage and final approval before the project is placed before the Union Cabinet.

    Matching Previous Year Question

    “[2022, GS3, 10 marks] Why is Public Private Partnership (PPP) required in infrastructural projects? Examine the role of PPP model in the redevelopment of Railway Stations in India.”

  • Worries behind India’s robust GDP, inflation data

    Why in the News

    Six months into the West Asia war, India’s headline macroeconomic numbers have held up against the deterioration forecast for them. Gross Domestic Product (GDP) growth for the first quarter is put at 7 to 7.5 percent, retail inflation sits near the Reserve Bank of India (RBI) target of 4 percent, and the current account deficit is 0.3 percent of GDP. The forecasts had assumed the opposite, since the war was expected to raise crude oil prices and cut foreign investment, and El Nino conditions (a periodic warming of the eastern Pacific that shifts monsoon rainfall over India) threatened food production. The tension is that each of the three headline numbers rests on a support that can reverse within a quarter, so the resilience is a matter of composition rather than of structure.

    Why were the macro numbers expected to deteriorate?

    1. The war was expected to work through crude and capital: Higher crude oil prices and a reduction in foreign investment were the two channels analysts identified after the United States and Israel went to war with Iran.
    2. Inflation was projected to triple: The rate was expected to rise from 2 percent in 2025-26 to near 6 percent, moving from the lower end of the RBI’s comfort zone to its upper limit.
    3. The rupee carried the visible damage: The war exposed persistent weaknesses in the economy, expressed most sharply in the fall of the rupee’s exchange rate.
    4. Household consumption was asked to adjust: The Prime Minister appealed to citizens to stop gold purchases and reduce fuel consumption, among other measures.

    What is actually holding up the growth number?

    1. Monetary easing has begun to transmit: The repo rate, the rate at which the RBI lends to commercial banks, was cut by 125 basis points between December 2024 and December 2025, and transmission into faster growth typically takes a couple of quarters.
    2. Indirect tax cuts raised purchasing power: Cuts in the Goods and Services Tax in 2025 lowered prices and lifted economic activity.
    3. Exports to the United States recovered: India’s exports rose as the tariffs imposed by the United States were removed.
    4. Manufacturers produced ahead of demand: Firms front loaded production because they were anxious about future energy availability.
    5. The estimates cluster above 7 percent: A research database of 100 growth indicators points to 7 to 7.5 percent for April, May and June, and one domestic bank’s research team projects 8 percent.

    Why is headline inflation low, and what does the average conceal?

    1. The headline rate is contained but rising: Monthly retail inflation has moved up since October and remains near the RBI’s 4 percent target level.
    2. The restraint is not the usual kind: Inflation ordinarily stays muted because growth is muted, and here it has stayed muted despite supply pressures and with demand holding up.
    3. Goods inflation is already at 5.4 percent: Food inflation and non food goods inflation together averaged 5.4 percent year on year in July.
    4. Services inflation is doing the masking: Services inflation is at 2.5 percent, and a rise from that level, reflecting growth better, would push the headline number up quickly.

    How is the current account deficit being held at 0.3 percent of GDP?

    1. The current account measures net flows on trade: It is the net amount of money moving in or out of India as it trades goods and services with the world, and a country importing more than it exports runs a deficit on it.
    2. The goods side is deteriorating: The goods trade deficit is growing, which is the normal consequence of fast growth and costlier imports.
    3. Services and remittances are funding the gap: Rising services exports and remittances from Indians working abroad are offsetting the increase in the goods deficit.
    4. The funding source is itself uncertain: Services exports have grown at a softer pace this year, and the effect of artificial intelligence on services export growth is unsettled.

    What do the credit numbers signal beneath the growth rate?

    1. Credit growth is partly guaranteed rather than commercial: A new government credit guarantee scheme for small firms accounts for part of the rise in loans.
    2. Working capital demand reflects costlier inputs: Borrowing has risen because higher commodity prices have raised working capital needs.
    3. Gold loan growth is a stress marker: The proliferation of gold loans functions as an indicator of household financial distress rather than of expansion.
    4. Front loading borrows from the next quarter: Manufacturing brought forward can be followed by a lull, and agricultural growth can weaken if El Nino strengthens.

    Challenges to sustaining India’s growth and inflation mix

    1. Import dependence on crude oil transmits every external shock: India imports the large majority of the crude oil it consumes, so a price shock lands directly on the trade balance and on the fuel component of retail inflation. Eg. The 2022 crude price surge after the Ukraine war pushed retail inflation above the RBI’s 6 percent upper tolerance band for three consecutive quarters. Fix. Expand the strategic petroleum reserve and diversify long term crude contracts away from a single supplier region.
    2. Exchange rate depreciation feeds imported inflation: A weaker rupee raises the domestic price of imported fuel, edible oil, fertiliser and electronics regardless of domestic demand conditions. Eg. Edible oil prices in India track palm oil import costs from Indonesia and Malaysia, where India buys the bulk of its supply. Fix. Deepen the domestic oilseed and fertiliser production base so that the depreciation pass through covers a smaller import basket.
    3. Services led growth generates limited employment: The sector’s share of output far exceeds its share of jobs, so a growth rate driven by services does not translate into proportionate hiring. Eg. Information technology services contribute a large share of exports. They employ a small fraction of the non farm workforce. Fix. Tie production and export incentives to verified employment creation rather than to output or investment alone.
    4. Private capital expenditure has not led the cycle: Growth supported by rate cuts, tax cuts and front loaded production rests on policy stimulus rather than on a durable investment upturn. Eg. Central government capital expenditure has carried the investment cycle since the pandemic, with private corporate investment recovering later and unevenly. Fix. Resolve land, contract enforcement and clearance delays that raise the fixed cost of a new private project.

    Conclusion

    The headline numbers are steady because one sector is covering for the others. That is a composition rather than a structure, and a composition can change inside a quarter. The marker to watch is whether services inflation rises at the same time as services exports weaken, since that pairing would force the central bank to raise rates and take the growth number with it.

    Matching Previous Year Question

    “[2021, GS3, 10 marks] Explain the difference between computing methodology of India’s Gross Domestic Product(GDP) before the year 2015 and after the year 2015.”

  • Pradhan Mantri Fasal Bima Yojana crop insurance record

    Why in the News

    PIB set out the coverage and claims record of the Pradhan Mantri Fasal Bima Yojana (PMFBY). PMFBY is the national crop insurance scheme.

    Core facts

    1. What it is: PMFBY provides crop insurance against non preventable natural risks. Cover runs from pre sowing to post harvest.
    2. Coverage record: About 56.96 crore farmer applications were insured since inception.
    3. Claims paid: About Rs 1,54,469 crore was paid in claims since inception.
    4. Farmer premium: Farmers pay 2 percent for Kharif crops, 1.5 percent for Rabi crops and 5 percent for commercial and horticultural crops. The government pays the balance premium.
    5. Design principle: The scheme follows a One Nation, One Crop, One Premium approach. It removed premium capping so full admissible claims are paid.
    6. Technology: Loss assessment uses remote sensing, drones and smartphones. Key systems are YES-TECH (Yield Estimation System based on Technology) and CROPIC (Collection of Real time Observations and Photographs of Crops).

    Static Context

    1. Launch: PMFBY was launched in 2016. It replaced earlier crop insurance schemes.
    2. Voluntary since 2020: Enrolment became voluntary for all farmers from the 2020 revamp. It was earlier compulsory for loanee farmers.
    3. Delivery platform: The National Crop Insurance Portal (NCIP) digitises enrolment, premium flow and claims.
    4. Implementing ministry: The scheme is run by the Ministry of Agriculture and Farmers Welfare.

    Prelims angle

    1. Premium hook: Farmer premium is 2 percent Kharif, 1.5 percent Rabi, 5 percent commercial and horticultural. A uniform 2 percent for all crops is incorrect.
    2. Scope hook: The scheme covers post harvest losses from cyclones and unseasonal rain, and localised risks such as hailstorm and landslide.
    3. Tech hook: YES-TECH for yield estimation and CROPIC for photograph based crop verification.
    4. Year hook: Launched in 2016, voluntary since 2020.

    Mains angle

    GS3 (agricultural risk, crop insurance, subsidies). A question can ask how crop insurance protects small and marginal farmers against climate risk.

    Matching Previous Year Question

    “[2016, GS3, 12.5 marks] Give the vulnerability of Indian agriculture to vagaries of nature, discuss the need for crop insurance and bring out the salient features of the Pradhan Mantri Fasal Bima Yojana (PMFBY). [2016] With reference to ‘Pradhan Mantri Fasal Bima Yojana’, consider the following statements: 1. Under this scheme, farmers will have to pay a uniform premium of two percent for any crop they cultivate in any season of the year. 2. This scheme covers post-harvest losses arising out of cyclones and unseasonal rains. Which of the statements given above is/are correct? (a) 1 only (b) 2 only (c) Both 1 and 2 (d) Neither 1 nor 2 Answer: (b)”

  • Per Drop More Crop expands water efficient micro irrigation

    Why in the News

    PIB detailed the reach of the Per Drop More Crop (PDMC) component of national irrigation policy. Revised guidelines widen the water management activities that states can fund.

    Core facts

    1. What it is: Per Drop More Crop promotes drip and sprinkler irrigation. The aim is higher water use efficiency at the farm.
    2. Coverage record: About 83.06 lakh hectares were brought under micro irrigation from 2015-16 to 2023-24. About 30.55 lakh hectares of that were added in the last three years.
    3. Central assistance: About Rs 18,714.69 crore was released to states since inception.
    4. Subsidy pattern: Assistance is 55 percent for small and marginal farmers and 45 percent for other farmers. Northeastern and Himalayan states get 25 percent higher unit cost support.
    5. Revised guidelines: States can now plan micro level water management works such as diggi construction and water harvesting under the scheme.
    6. Figure caveat: Some current media figures cite about 115 lakh hectares and 12.30 lakh farmers. Those could not be verified on a fetchable PIB detail page, so the PIB verified figure of 83.06 lakh hectares is used above.

    Static Context

    1. Parent scheme history: PDMC ran under the Pradhan Mantri Krishi Sinchayee Yojana (PMKSY) from 2015-16 to 2021-22. Since 2022-23 it runs under the Rashtriya Krishi Vikas Yojana (RKVY).
    2. Micro Irrigation Fund: The Micro Irrigation Fund (MIF) was created with the National Bank for Agriculture and Rural Development (NABARD). Its initial corpus was Rs 5,000 crore.
    3. Interest support: The Fund gives states a 3 percent interest subvention on loans for micro irrigation expansion.
    4. PMKSY mandate: PMKSY, launched in 2015, follows the goal of Har Khet Ko Paani and improved on farm water use.

    Prelims angle

    1. Umbrella hook: PDMC now sits under RKVY, earlier under PMKSY.
    2. Fund hook: The Micro Irrigation Fund is with NABARD, corpus Rs 5,000 crore.
    3. Concept hook: Micro irrigation cuts fertiliser and nutrient loss and can check groundwater depletion. It is not the only means of dryland irrigation.

    Mains angle

    GS3 (types of irrigation and irrigation systems). A question can ask how micro irrigation addresses India’s water stress and how coverage can be widened.

    Matching Previous Year Question

    “[2021, GS3, 10 marks] How and to what extent would micro-irrigation help in solving India’s water crisis? [2016, GS3, 12.5 marks] What is water-use efficiency? Describe the role of micro-irrigation in increasing the water-use efficiency. [2011] With reference to micro-irrigation, which of the following statements is/are correct? 1. Fertilizer/nutrient loss can be reduced. 2. It is the only means of irrigation in dry land farming. 3. In some areas of farming, receding of the groundwater table can be checked. (a) 1 only (b) 2 and 3 only (c) 1 and 3 only (d) 1, 2 and 3 Answer: (c)”

  • Indian Standard Time made the single legal time reference through new Legal Metrology rules

    Why in the News

    The Department of Consumer Affairs has notified the Legal Metrology (Indian Standard Time) Rules, 2026. The rules make Indian Standard Time (IST) the single legal time reference for use across sectors.

    Core facts

    1. Notifying body: The rules were notified by the Department of Consumer Affairs, under the Ministry of Consumer Affairs, Food and Public Distribution.
    2. Parent law: The rules are framed under the Legal Metrology Act, 2009. This Act governs weights, measures and standards of measurement in India.
    3. Mandate: The rules mandate use of IST for legal, administrative, commercial and official purposes. Use of any alternative time reference is barred unless expressly permitted.
    4. Synchronisation method: Government offices and public institutions must synchronise clocks using Network Time Protocol (NTP) and Precision Time Protocol (PTP). These are internet protocols that distribute a common reference time to connected devices.
    5. Source of time: IST is maintained by the CSIR National Physical Laboratory (NPL). It is set at Coordinated Universal Time (UTC) plus 5 hours 30 minutes.
    6. Exemptions: Scientific, astronomical and navigational uses are exempt with prior government approval.
    7. Enforcement: Compliance is checked through periodic audits. Penalties apply for violations.

    Static Context

    1. One Nation, One Time: The reform is the operational form of the One Nation, One Time idea. A draft version was first issued for public comment in early 2025.
    2. Legal Metrology institutions: The Legal Metrology wing sits under the Department of Consumer Affairs. It enforces uniform weights, measures and now uniform time.
    3. CSIR National Physical Laboratory: NPL is the national measurement standards laboratory. It keeps India’s atomic time scale and disseminates IST.
    4. Why uniform time matters: Power grid synchronisation, telecom, banking, digital governance and defence need one accurate time base. Many networks earlier drew time from foreign satellite sources such as the Global Positioning System (GPS).

    Prelims angle

    1. Custodian fact: IST is maintained by CSIR NPL, not by the India Meteorological Department or ISRO.
    2. Offset fact: IST equals UTC plus 5:30, based on the 82.5 degree East longitude reference.
    3. Legal base fact: The rules flow from the Legal Metrology Act, 2009, a consumer affairs law, not from a science ministry statute.
    4. Protocol fact: NTP and PTP are the mandated synchronisation protocols.

    Mains angle

    GS3 (Science and Technology in everyday life) and GS2 (government regulation and standardisation). A question can ask how a single national time standard strengthens critical infrastructure security and consumer fairness.

    Matching Previous Year Question

    “No direct PYQ traced in the provided files for legal metrology or Indian Standard Time. Closest tracked Microtheme is Certification/Promotional Bodies (Governance), covering national standards and certification bodies.”

  • A Himalayan tragedy

    Why in the News

    Scientists investigating the flash flood on the Bhotekoshi river in Nepal have attributed it to a sturzstrom, a high speed rock and ice avalanche near Langtang Lirung on the Nepal China border, rather than to a glacial lake outburst flood (GLOF). The reattribution matters because a flood on the same river in July of the previous year, which also occurred without rainfall, was concluded to be a glacial lake outburst flood, and that conclusion shaped what was being watched for. The flood struck at around 8.40 a.m. and has left more than 600 dead and close to 2,500 missing, including foreign nationals, mostly from India. What is now contested is whether a monitoring and warning system built around glacial lakes can see a hazard that begins as a bedrock and ice collapse.

    What is a sturzstrom?

    1. The definition: A massive rock avalanche in which a large volume of rock suddenly collapses and travels at extremely high speed over a long distance.
    2. Its high mountain form: Where the collapsing rock is mixed with ice, snow, firn and frozen soil, the same event is described as a rock and ice avalanche.
    3. Why the runout is so long: Pressure and friction inside the moving mass generate meltwater, which lubricates the mass and its base, reduces resistance and carries the debris much further than a dry rockslide would.
    4. How it ends: As it descends it takes in more ice, snow, rock, soil and water, and can transform into a massive debris flow before depositing its material.

    Why was the glacial lake explanation set aside?

    1. The precedent pointed the other way: A rainless flood on the Bhotekoshi in July of the previous year was concluded by scientists to be associated with a glacial lake outburst flood, so that was the first hypothesis tested.
    2. The velocity did not fit: The speed and ferocity of this flood, which washed away villages across three districts, Rasuwa, Nuwakot and Dhading, prompted experts to examine it from a different angle.
    3. The onset signature differs: A lake breach releases a stored volume over a measurable period, while this flood arrived with no such build up recorded at downstream gauges.
    4. It has no Nepali precedent: No comparable disaster involving a sturzstrom had been recorded in Nepal before this event.

    What does the transboundary geography add to the problem?

    1. The source area straddles the border: Nepalese and Chinese authorities have concluded that the source lay in the Langtang Lirung area, and identifying the exact collapse point and which side of the boundary it sat on may not be possible.
    2. The trigger was a compound event: Satellite imagery shared by the Chinese side pointed to a combination of an ice avalanche, permafrost movement and a rockslide, with the rockslide on the Chinese side and its impact extending into Nepal.
    3. The avalanche began in Nepal: A senior divisional hydrologist at Nepal’s Department of Hydrology and Meteorology states the avalanche originated on Nepalese territory very close to the boundary and induced flooding that crossed into China, damaging both sides.
    4. The channel is itself transboundary: The location identified is the Lhende Khola, a high altitude river rising in Gyirong County in Tibet and flowing south into Nepal as a tributary of the Bhotekoshi and Trishuli systems.
    5. The corridor carries trade and pilgrims: Rasuwagadhi in Rasuwa is the checkpoint through which most of Nepal’s trade with China passes, and from May to September hundreds of pilgrims cross there into Tibet for the Kailash Mansarovar pilgrimage, with Indians the largest share.

    How far did early warning and climate attribution actually get?

    1. The systems worked and still failed: Experts state that early warning systems were activated as intended but were rendered ineffective by the speed of the flood.
    2. The structural difficulty is the terrain: The head of the United Nations Office for Disaster Risk Reduction (UNDRR) has said the event again showed how fragile mountain ecosystems are and how hard it is to build early warning in mountain environments.
    3. Attribution stops short of a direct link: Scientists have not ruled out a role for climate change and point to rising temperatures warming the Himalayas and accelerating glacier melt, without directly linking this disaster to global warming.
    4. Access is limiting the assessment itself: The International Federation of Red Cross and Red Crescent Societies (IFRC) reports that remoteness combined with damaged infrastructure is obstructing both damage assessment and the delivery of assistance, with around 93,000 people estimated to be affected.

    What does the 2021 Chamoli comparison establish?

    1. The mechanism has an Indian precedent: The 2021 Chamoli disaster in Uttarakhand began with a bedrock failure beneath a glacier, which triggered a rock and ice avalanche that transformed into a debris flow and flood.
    2. It is described the same way in the literature: Chamoli has been scientifically described as a rock and ice avalanche and, in some literature, explicitly as a sturzstrom.
    3. The scale of material involved: Research found that more than 25 million cubic metres of rock and ice broke loose high in the Uttarakhand Himalaya before moving rapidly downstream.
    4. The comparison narrows the watch list: Two events of the same mechanism a few years apart in the same mountain system establish an unstable rock and ice slope, not only a moraine dammed lake, as a recurring source of catastrophic flooding.

    Challenges to early warning in high mountain catchments

    1. The monitored hazard is the wrong hazard: Warning networks in the Himalaya are built around glacial lake inventories and lake level telemetry, which observe nothing at an unstable rock and ice face. Eg. Nepal’s national hazard inventories catalogue glacial lakes by area and moraine condition, with no equivalent register of unstable rock and ice faces. Fix. Add slope stability and permafrost monitoring at identified rock and ice faces to the existing glacial lake inventories.
    2. Lead time collapses to minutes: A sturzstrom accelerates and reaches settlements in the time a lake outburst would take to build, so a warning chain designed for hours has nothing to work with. Eg. Riverside towns such as Betrawati in Nuwakot were buried on the same morning the collapse occurred. Fix. Move from advisory dissemination to automatic siren triggering at gauge stations, removing the human decision step from the chain.
    3. The hazard does not respect the border: The collapse zone straddles the Nepal China boundary, so neither state’s monitoring network alone observes the full source area. Eg. The trigger was established only from satellite imagery shared by the Chinese side. Fix. Put the Lhende Khola and comparable transboundary catchments under a standing data sharing arrangement with agreed real time thresholds.
    4. Exposure is concentrated in the valley floor: Trade routes, hydropower works, bazaars and pilgrimage traffic all occupy the same narrow corridor a debris flow uses. Eg. The Rasuwagadhi corridor carries most of Nepal’s China trade and the seasonal Kailash Mansarovar pilgrimage. Fix. Apply a debris flow runout based building line along these corridors rather than a flood return period line drawn from rainfall records.
    5. Assessment capacity fails exactly when it is needed: Remote terrain and destroyed access mean the size of the disaster is unknown for weeks, which delays both relief and reconstruction decisions. Eg. Officials state the full scale of damage may take weeks or months to assess. Fix. Pre position aerial survey and satellite tasking agreements so a post event damage assessment does not depend on ground access.

    Conclusion

    The scientific account of this flood has moved from a glacial lake outburst to a sturzstrom originating on an unstable rock and ice slope near the Nepal China border. That shift changes what has to be monitored, since a lake inventory does not observe a bedrock face, and it places the source area inside a boundary zone neither country monitors alone. Search and rescue continues with more than 15,000 personnel deployed. The next milestone is the joint Nepalese and Chinese determination of the exact collapse point, which will decide whether transboundary monitoring of that catchment is put in place.

    Back2Basics: Glacial Lake Outburst Flood (GLOF)

    1. What it is: The sudden release of water held in a glacial lake, which sends a large volume downstream in a short period.
    2. How the lake forms: Meltwater collects behind a moraine ridge or an ice dam left by a retreating glacier, so the impounding structure is loose debris or ice rather than rock.
    3. What breaches it: Overtopping by an avalanche or landslide into the lake, seepage that erodes the moraine from within, or failure of the ice dam itself.
    4. Why it is tracked in the Himalaya: Glacier retreat is adding to both the number and the volume of these lakes, which is why national inventories monitor them and why they were the first explanation tested for this flood.

    Matching Previous Year Question

    “[2021, GS1, 10 marks] Differentiate the causes of landslides in the Himalayan region and Western Ghats. (150 words) हिमालय क्षेत्र तथा पश्चिमी घाटों में भू-स्खलनों के विभिन्न कारणों का अंतर स्पष्ट कीजिए। (150 शब्दों में उत्तर दीजिए)”

  • ‘No material price hit on CBG on revised offtake framework’

    Why in the News

    The Union Petroleum Ministry has said that the revised compressed biogas (CBG) offtake price will not translate into a material price increase for gas consumers. The assurance answers concerns raised after the Union Cabinet cleared a revised Galvanizing Organic Bio Agro Resources Dhan (GOBARdhan) scheme on 6 August, which introduced a CBG offtake price of Rs 2,110 per metric million British thermal unit (MMBtu). The Ministry states that the full offtake price will not be recovered from consumers, since a government funded affordability cushion and a much larger gas pool absorb the difference. The contested point is whether a producer facing price is being set well above the consumer facing price, and who carries the gap between the two.

    What does the revised offtake framework fix?

    1. A single administered offtake price: The revised scheme sets the price at which compressed biogas is picked up from producers at Rs 2,110 per MMBtu, replacing case by case commercial negotiation.
    2. The stated purpose is producer viability: The Ministry describes the framework as giving CBG producers a “stable and viable” price so that plants can operate “sustainably”.
    3. Two prices, not one: The offtake price and the price billed at the burner tip are set by separate mechanisms, so a movement in one does not carry through to the other.

    How is the consumer insulated from the offtake price?

    1. A direct affordability cushion: The government provides a cushion of Rs 10 per kilogram of CBG, funded from the exchequer rather than recovered in tariffs.
    2. Stacking against a wider gas pool: The biogas volume is blended into a substantially larger pool of natural gas, so its higher unit cost is diluted across the whole pool before reaching the burner tip.
    3. The two work together, not separately: The Ministry’s position rests on the cushion and the pooling operating at the same time, not on either one alone.

    Challenges to the compressed biogas offtake framework

    1. The subsidy is an open ended fiscal commitment: An affordability cushion fixed per kilogram grows in direct proportion to volume, so success in scaling the sector raises the annual outgo rather than reducing it. Eg. The blending obligation for compressed biogas in city gas networks is designed to rise year on year. Fix. Publish a declining glide path for the cushion alongside the offtake price, so producers plan against a known taper.
    2. Pooling only dilutes cost while the biogas share stays small: The wider gas pool absorbs the price difference precisely because compressed biogas is a small fraction of it, and that cushion thins as the mandated share rises. Eg. Domestic gas allocation to city gas distribution is already rationed against demand. Fix. Tie each upward revision of the blending obligation to a reassessed pooled price so the dilution assumption is tested rather than assumed.
    3. Feedstock aggregation remains the binding constraint: Plant economics turn on assured daily supply of cattle dung, press mud and agricultural residue, which no offtake price by itself organises. Eg. Several commissioned compressed biogas plants run below rated capacity for want of steady feedstock. Fix. Contract feedstock aggregation through dairy cooperatives and sugar mills at the plant approval stage, so supply is committed before capital is sunk.
    4. Fermented organic manure has no assured market: A biogas plant produces a large byproduct stream that is only viable when the manure sells, and its offtake is not covered by this price framework. Eg. Fermented organic manure competes against heavily subsidised urea on farm gate price. Fix. Extend the market development assistance already notified for organic manure to the full output of registered compressed biogas plants.

    Conclusion

    The framework sets a producer facing price and leaves the consumer facing price to be settled elsewhere, which is what the Ministry’s assurance rests on. That assurance holds only while compressed biogas remains a small share of the gas pool. The next test is the scheme’s operating guidelines, which will show whether the support is open ended or tapered and how feedstock supply is to be secured.

    Back2Basics: GOBARdhan

    1. What it is: An initiative to convert cattle dung, agricultural residue and other organic waste into biogas, compressed biogas and organic manure.
    2. Where it sits: It runs as a unified registration and monitoring framework across ministries, with the Department of Drinking Water and Sanitation operating its central registration portal.
    3. What it targets: Village level cleanliness, a rural income stream from waste, and a domestic substitute for imported natural gas.
    4. How it links to fuel policy: Compressed biogas produced under it feeds the Sustainable Alternative Towards Affordable Transportation (SATAT) offtake route into city gas distribution networks.

    Matching Previous Year Question

    “[2020] According to India’s National Policy on Biofuels, which of the following can be used as raw materials for the production of biofuels? 1. Cassava 2. Damaged wheat grains 3. Groundnut seeds 4. Horse gram 5. Rotten potatoes 6. Sugar beet Select the correct answer using the code given below: (a) 1, 2, 5 and 6 only (b) 1, 3, 4 and 6 only (c) 2, 3, 4 and 5 only (d) 1, 2, 3, 4, 5 and 6 ANSWER: (a)”