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Type: Explained

These Newscards correspond to the explained section of various newspapers. They become immensely important for both prelims and mains and special attention needs to be paid to them

  • Minister seeks fundamental shift in fight against drought

    Minister seeks fundamental shift in fight against drought

    Why in the News

    The Union Environment Minister has called for a fundamental shift in the global approach to droughts, from reactive relief to proactive, technology-enabled resilience. He made the appeal at the Ministerial Dialogue on Accelerating Drought Resilience during the 17th Conference of Parties (COP17) of the United Nations Convention to Combat Desertification (UNCCD), held in Ulaanbaatar, Mongolia.

    What did the Minister’s statement propose?

    1. Drought is reframed as a development challenge: The Minister said drought is no longer an occasional event but a defining development challenge, citing its compounding disruptions to global water security, agricultural food systems, biodiversity, and economic stability.
    2. India’s own model was presented as a template: He highlighted India’s coordinated, multi-institutional approach integrating early warning, mitigation, relief and community resilience, where rainfall monitoring and satellite-based drought assessments trigger preparedness at the inter-ministerial and State levels.
    3. Land restoration was linked directly to water security: He called for restoring the forest before restoring the flow, underscoring India’s focus on catchment and riverscape forestry to reduce erosion, improve water retention, and recharge groundwater.
    4. The Minister called for a shift from relief to prediction: He advocated integrating predictive technologies, localised early-warning monitoring, and proactive land management policies, so vulnerable communities can anticipate and absorb environmental shocks rather than depending primarily on post-disaster relief.

    Back2Basics

    1. United Nations Convention to Combat Desertification (UNCCD): Adopted in 1994 following the 1992 Rio Earth Summit, it is one of the three Rio Conventions, alongside the United Nations Framework Convention on Climate Change (UNFCCC) and the Convention on Biological Diversity (CBD).
    2. It is the sole legally binding international agreement linking environment and development to sustainable land management. COP17, held in Mongolia under the theme “Restoring Land. Restoring Hope,” is its 17th Conference of Parties.

    Conclusion

    The Minister’s intervention at COP17 sets out India’s preparedness-first model as its negotiating position within the UNCCD process, positioning predictive, land-restoration-based resilience as the alternative to a relief-centred global response to drought.

    “[2014, GS3, 12 marks] Drought has been recognised as a disaster in view of its party expense, temporal duration, slow onset and lasting effect on various vulnerable sections. With a focus on the September 2010 guidelines from the National disaster management authority, discuss the mechanism for preparedness to deal with the El Nino and La Nina fallouts in India.”

  • Our Central Asia strategy needs less romance, more realism

    Our Central Asia strategy needs less romance, more realism

    Why in the News

    Prime Minister Modi visits Uzbekistan and the SCO summit in Kyrgyzstan this week, entering a Central Asia that bears little resemblance to the region he toured in 2015. Central Asia has gained independent geopolitical agency and diversified its great-power relationships, exposing the gap between India’s ambition for strategic reconnection and its actual capacity for access and investment.

    How has Central Asia’s regional coherence altered its position between competing powers?

    • Central Asian Five consolidation: Since 2018 the five states have met regularly at summit level and signed a friendship treaty, moving toward organisational substance as a Central Asian community.
    • C-6 expansion: The Central Asian Five invited Azerbaijan to form the C-6, linking the region more closely to the Caucasus and Türkiye.
    • Fergana Valley settlement: Uzbekistan, Kyrgyzstan and Tajikistan settled long-running border disputes in the Fergana Valley, removing a structural source of intra-regional friction.
    • Intra-regional trade growth: Rising intra-regional trade has reinforced political cooperation, converting Central Asia into a region in its own right rather than the sum of five post-Soviet republics.

    What do recent institutional realignments show about Central Asia’s shift toward the Greater Middle East and the West?

    • Kazakhstan–Abraham Accords: Kazakhstan announced accession to the Abraham Accords at the Washington summit with the US in November 2025.
    • Board of Peace charter: Azerbaijan, Kazakhstan and Uzbekistan signed the charter of Trump’s Board of Peace at Davos in January 2026.
    • Organisation of Turkic States: Türkiye converted the OTS from a cultural forum into an instrument for political, economic and defence cooperation across Central Asia.
    • US bureau reorganisation: Washington restructured the State Department in 2006 to group Central Asia with Afghanistan and the Subcontinent, an earlier connectivity bet that Afghan instability defeated.

    What geographic constraints continue to block India’s direct access to Central Asia?

    • Land route blockage: Pakistan blocks India’s overland route, and Afghan instability rules out an alternate land corridor.
    • Chabahar disruption: The Iran–US conflict has complicated Chabahar and the International North-South Transport Corridor, leaving India’s one built connectivity node idle.
    • Emerging unaddressed issues: Central Asian states have moved toward pragmatic engagement with the Taliban, but new problems like Amu Darya water-sharing are arising in areas where India has no established role.

    Why can India not replicate other external powers’ approaches in Central Asia?

    • Diplomatic precondition unmet: Delhi has not resolved whether to extend diplomatic flexibility toward Pakistan, Türkiye and Azerbaijan, flexibility that would expand its room for manoeuvre.
    • Capability gap: India cannot match China’s infrastructure spending, Russia’s geographic advantages, Europe’s financial resources, or Türkiye’s Caspian access.
    • Multi-vector environment: Central Asian states engage all major powers and commit exclusively to none, closing off the option of an exclusive partnership regardless of capability.

    Conclusion

    India’s Central Asia policy should replace romantic historical framing with a realistic assessment of its access constraints and capabilities, and build engagement incrementally from that assessment rather than from renewed aspiration.

    Back2Basics

    1. Central Asian Republics (CARs): The five states that emerged from the dissolution of the Soviet Union in 1991: Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan, sharing historic trade and cultural links with India through the Silk Route.

    “[2024, GS2, 10 marks] Critically analyse India’s evolving diplomatic, economic and strategic relations with the Central Asian Republics (CARs) highlighting their increasing significance in regional and global geopolitics.”

  • NITI Aayog: Degrees like BA, B.Sc, B.Com have ‘weak job linkages’, need reforms

    NITI Aayog: Degrees like BA, B.Sc, B.Com have ‘weak job linkages’, need reforms

    Why in the News

    NITI Aayog has flagged that unemployment among graduates remains far higher than the national average, and that over-reliance on generic degrees such as BA, B.Sc and B.Com is contributing to the problem. The finding comes amid a renewed push to redesign India’s skilling architecture toward specialised, job-linked programmes.

    What does NITI Aayog’s assessment find?

    1. Most graduates work outside their field of study: Over 90% of India’s graduates are employed in roles not aligned with their qualifications.
    2. The disconnect is curriculum level: NITI Aayog states that curriculum in most institutions remains outdated and misaligned with evolving industry needs, producing degrees and diplomas with weak job linkages.
    3. The proposed direction is sector specific: The think tank makes the case for moving toward specialised, job-linked programmes in high-growth sectors such as green industries and electric vehicles, with greater emphasis on apprenticeships.

    Conclusion

    NITI Aayog’s assessment reframes graduate unemployment as a curriculum design problem rather than only a labour demand problem, and its recommendation is a shift from generic degrees toward sector-specific, apprenticeship-linked training in high-growth industries.

    “[2015, GS3, 12 marks] The nature of economic growth in India in recent times is often described as a jobless growth. Do you agree with this view? Give arguments in favour of your answer.”

  • Why Indian cities flood after heavy rain and overheat in summer

    Why in the News

    A 2025 amendment to Section 41A of the Disaster Management Act, 2005 has created Urban Disaster Management Authorities, a governance response to the recurring pattern of Indian cities flooding after heavy rain and overheating in summer. World Bank cost estimates on urban flood damage and a NITI Aayog assessment of the gap between master-plan provisions and their actual implementation frame the same underlying problem: cities are being planned for climate conditions they no longer experience, and the governance structures meant to close that gap have themselves lagged.

    Why do Indian cities flood after heavy rainfall?

    1. Unplanned urbanisation over natural drainage channels: Rapid, often unauthorised urban expansion has built over natural drainage channels, lakes, and wetlands that previously absorbed and carried away excess rainwater, removing the city’s own natural flood buffer.
    2. Storm-water drainage systems designed for outdated rainfall intensity: Much of urban India’s storm-water drainage infrastructure was designed decades ago for rainfall intensities lower than what cities now experience during concentrated, high-intensity rain events.
    3. Impervious surface cover reduces natural absorption: The replacement of open, permeable ground with concrete and asphalt across expanding cities means a much larger share of rainfall runs off immediately rather than being absorbed into the soil, overwhelming drainage systems built for lower runoff volumes.
    4. Fragmented civic responsibility for drainage maintenance: Responsibility for different components of urban drainage, roads, sewers, and stormwater channels, is often split across separate municipal, water-board, and public-works departments, leaving no single body accountable for the full drainage system’s maintenance.

    Why do the same cities overheat in summer?

    1. Loss of urban green cover and water bodies: The same unplanned urbanisation that removes natural drainage also removes the tree cover and water bodies that moderate local temperature, contributing to the urban heat island effect, the pattern by which built-up urban areas run measurably hotter than surrounding rural areas due to concrete and asphalt absorbing and re-radiating heat.
    2. Building density without ventilation planning: Dense, closely packed construction without adequate spacing or ventilation corridors traps heat at street level and limits the natural air movement that would otherwise help dissipate it.
    3. Overheating and flooding share the same root cause: Both problems stem from urban master plans that have not kept pace with the density and climate conditions cities actually face, meaning a plan built around outdated rainfall and temperature assumptions fails on both fronts simultaneously.

    What does the Section 41A amendment change?

    1. Creates dedicated Urban Disaster Management Authorities: The 2025 amendment to Section 41A of the Disaster Management Act, 2005 mandates the creation of Urban Disaster Management Authorities specifically for cities, distinct from the district-level disaster management authorities the original 2005 Act established.
    2. Intended to close the urban-specific governance gap: The amendment responds to the recognition that urban flooding and heat risks require a governance structure focused specifically on city-level infrastructure and planning, rather than being folded into a district authority that also covers rural areas with different risk profiles.
    3. Implementation still depends on State-level rules: Like other provisions of the Disaster Management Act, 2005, the practical functioning of Urban Disaster Management Authorities depends on rules and staffing decisions each State government must still put in place.

    What is the scale of the cost, and the implementation gap?

    1. World Bank cost estimates on urban flood damage: World Bank assessments have placed a substantial recurring economic cost on urban flood damage in India each year, covering infrastructure repair, business disruption, and health impacts, a cost that provides the economic case for investing in the governance and infrastructure fixes the amendment aims at.
    2. NITI Aayog’s master-plan implementation gap: A NITI Aayog assessment has flagged a persistent gap between what city master plans formally provide for, including drainage, green cover, and building density norms, and what is actually implemented on the ground, identifying weak enforcement rather than a lack of planning provisions as the core problem.

    Conclusion

    Urban flooding and summer overheating in Indian cities share a common origin in master plans that have not kept pace with actual urban density and climate conditions, and the 2025 Section 41A amendment creating Urban Disaster Management Authorities is a governance response to that gap. Whether the new authorities close the NITI Aayog-flagged implementation gap will depend on the staffing and enforcement powers States actually give them, not on the amendment’s existence alone.

    Back2Basics: Urban heat island effect

    1. The pattern by which densely built urban areas record measurably higher temperatures than their surrounding rural or less-developed areas, caused primarily by concrete and asphalt surfaces absorbing and re-radiating heat.
    2. Intensified by the loss of urban tree cover, water bodies, and open green space that would otherwise moderate local temperature.
    3. Compounds public health risk during heatwaves, since urban residents, especially in dense, low-income settlements with limited cooling access, face higher effective temperatures than official city-wide readings suggest.
    4. Addressed in India through urban greening and cool-roof initiatives under various city climate action plans, alongside the disaster-management governance changes covered above.

    Matching Previous Year Question

    “[2024, GS3, 15 marks] Flooding in urban areas is an emerging climate-induced disaster. Discuss the causes of this disaster. Mention the features of two such major floods in the last two decades in India. Describe the policies and frameworks in India that aim at tackling such floods.”

  • The other ‘NEET’ that India needs to address

    Why in the News

    Fresh Periodic Labour Force Survey (PLFS) data on the Usual Employment and Unemployment Rate shows nearly 40 percent of Indian graduates aged 25 are unemployed, alongside an estimated 9.2 crore Indian youth falling into the Not in Employment, Education or Training (NEET) category. The State of Working India 2026 report situates this alongside India’s demographic dividend, the working-age population bulge the country has counted on as a growth advantage. A youth cohort large enough to drive growth is instead showing a graduate unemployment rate high enough to raise doubts about whether that dividend is being converted into productive work.

    What does the NEET measure capture that the unemployment rate does not?

    1. NEET counts withdrawal, not just joblessness: The unemployment rate only counts people actively seeking work; NEET (Not in Employment, Education or Training) also captures young people who have stopped searching or never entered education or the labour force, a group the standard unemployment rate misses entirely.
    2. 9.2 crore youth estimated in the NEET category: The State of Working India 2026 report’s estimate of 9.2 crore places the scale of youth disengagement well above what headline unemployment figures alone would suggest.
    3. Graduate unemployment concentrated among the young: Nearly 40 percent of 25-year-old graduates are unemployed, a rate far higher than unemployment among the working-age population as a whole, showing that a degree has not translated into a job for this cohort at the pace the labour market absorbs less-educated job seekers.
    4. Gender skew within the NEET population: Young women make up a disproportionate share of the NEET category, reflecting caregiving responsibilities and mobility constraints that keep them out of both education and paid work even when jobs exist locally.

    Why does graduate unemployment run higher than overall unemployment?

    1. Skill mismatch between degrees and job requirements: Employers report that a large share of graduates are not employable in the roles the formal sector is creating, because curricula have not kept pace with industry requirements.
    2. Weak absorption capacity in manufacturing: Manufacturing’s share of GDP has stayed well below the level needed to absorb a growing pool of educated job seekers into formal, better-paid work, pushing graduates toward informal or underemployed roles instead.
    3. Aspirational mismatch with available jobs: A graduate degree raises the reservation wage and the kind of work a job seeker will accept, so graduates wait longer for a suitable formal-sector opening rather than take the informal work a non-graduate would accept immediately.
    4. Delayed labour market entry compounds the count: Prolonged job searches by graduates keep them in the unemployed count for longer than less-educated job seekers, who exit into informal work faster even at lower wages.

    Conclusion

    The NEET count of 9.2 crore and the near-40 percent graduate unemployment rate among 25-year-olds point to a mismatch between what India’s education system produces and what its labour market currently absorbs. Closing that gap over the remaining years of India’s demographic dividend, rather than after it starts to narrow, is the reform window the data points to.

    Back2Basics: Periodic Labour Force Survey

    1. Conducted by the National Sample Survey Office (NSSO) under the Ministry of Statistics and Programme Implementation, the principal source of employment and unemployment data in India.
    2. Uses the Usual Status approach, based on a person’s activity over the preceding 365 days, alongside the Current Weekly Status approach for more recent snapshots.
    3. Was redesigned to provide quarterly urban estimates in addition to the earlier annual survey, though rural high-frequency coverage remains thinner.
    4. Feeds the official Unemployment Rate and Worker Population Ratio figures cited in Parliament and used for policy design.

    Matching Previous Year Question

    “[2023, GS3, 15 marks] Most of the unemployment in India is structural in nature. Examine the methodology adopted to compute unemployment in the country and suggest improvements.”

  • Investment question has a political answer

    Investment question has a political answer

    Why in the News

    Private corporate investment in India remains considerably lower than the peak seen in the mid 2000s, even as large corporates hold substantial cash. Firms are deploying funds in financial assets rather than building physical assets such as factories, and are taking money out of the country rather than investing it here. The standard explanations offered for this are subdued domestic demand and global uncertainty. A political economy explanation is now advanced instead, locating the cause in how political power structures affect investment decisions. Centralisation of political power has been unmistakable after 2014, accompanied by fiscal centralisation and a reconfiguration of federal structures. The contested claim is that market concentration around a handful of “national champions” is not an accident of policy but is politically useful, which would make an investment revival costly to the current political settlement.

    What are “national champions”?

    • Definition: A national champion is a large domestic business group that a government treats as the preferred vehicle for building strategic capacity, and that is favoured in policy design as a result.
    • How the status is conferred: Preference operates through the terms of auctions, tariffs, incentive eligibility, clearances and access to public contracts rather than through an announced designation.
    • The economic consequence: A handful of such groups now command far greater sway over the economy than before, which raises the entry barrier facing any firm attempting to compete with them.

    What does the investment slowdown actually look like?

    • Cash-rich firms are not building: Large corporates hold funds but are not committing them to new capacity in India.
    • Capital is leaving: Companies are taking money out of the country rather than investing it domestically.
    • Investment is below its own peak: Private corporate investment remains considerably lower than the level reached in the mid 2000s.
    • Financial assets over physical assets: Corporate India is more keen to deploy funds in financial assets than to use them for factories and plant.
    • The standard explanations are incomplete: Subdued domestic demand and global uncertainty have been put forward, and neither accounts for why firms with the means to invest choose not to.

    Why does the concentration of political and market power deter private investment?

    • Political and fiscal centralisation: Centralisation of political power after 2014 has been accompanied by greater fiscal centralisation and a reconfiguration of federal structures, including attempts to restrict the powers of states and, as a consequence, of regional parties. Eg. The Mines and Minerals (Development and Regulation) Amendment Act, 2026, amending the 1957 law under which the State owns the mineral and signs the lease while the Centre sets the rules and the royalty rate.
    • Market concentration has moved in step: The rise of a handful of large companies, aided by policy, has given them far greater sway over the economy than ever before.
    • One, patronage for smaller firms has dried up: The concentration of political power and the decline in the relative power of regional parties has ended the patronage and protection that were afforded to smaller and regional firms, who could rise up and become national players.
    • Two, policy uncertainty and an uneven playing field: Higher barriers to entry and terms tilted towards larger corporates make it harder for new players to emerge, and firms will not invest if they fear the rules of the game can be arbitrarily changed or that they can be caught on the wrong side of policies. Policy credibility is what is at stake.
    • Three, the fear of being muscled out: Investors fear that business success will be met by a hostile takeover by a national champion, so the question is not whether they are allowed to operate but whether they can stay in business and remain competitive over the next 10 to 20 years.

    Why would dispersing economic power be politically costly?

    • Competition requires a rethink of the strategy: For the larger corporate sector to ramp up investment and for competition to emerge, the strategy of relying on a few national champions needs to be reconsidered.
    • Dispersed economic power funds political opposition: A larger number of big private players would disperse rather than concentrate economic power, which would in turn increase the funding avenues available to Opposition parties.
    • Economic competition feeds political competition: Weakening the concentration of economic power would possibly weaken the concentration of political power, so greater economic competition could lead to greater political competition.
    • The two open questions: It is unsettled whether the current political structure creates the space for new players to safely invest and emerge as competitors to the national champions, or whether market concentration is itself politically useful.

    Why do the ingredients of an investment boom not produce one?

    • The macroeconomic conditions are present: An undervalued exchange rate, depressed real wages and sustained public sector investment in infrastructure are all in place, alongside the demographic dividend.
    • The same mix powered East Asia: This combination powered the rise of countries such as China and South Korea, where firms responded to it with large capacity additions.
    • India’s firms are not responding: Firms are likely to remain hesitant and unsure about investing without a change in the approach, despite those conditions.
    • Confidence, not capability, is binding: Investment decisions are taken only when investors think they have a fair chance of benefiting from them.
    • The end state if nothing changes: The consequent absence of competition raises the possibility of an uncompetitive, high-cost economy.

    Challenges to the national champions strategy

    • Concentration raises consumer and input costs: Dominant firms in a sector face little pressure to hold prices down, which raises costs for every downstream user. Eg. Telecom tariffs rose sharply after the sector consolidated into three private operators. Fix. Use the deal value threshold introduced by the Competition (Amendment) Act, 2023 to review acquisitions that current turnover tests miss.
    • Policy-created advantage is hard to withdraw: Once a group builds capacity on the strength of an incentive, removing the incentive becomes a shock the government is reluctant to deliver. Eg. Most approved incentive under the Production Linked Incentive scheme for large-scale electronics manufacturing has flowed to a small group of mobile phone assemblers. Fix. Publish sunset dates and firm-level disbursement data with each incentive scheme so withdrawal is scheduled rather than negotiated.
    • Concentrated bank exposure transmits firm risk to the system: Lending concentrated in a few large groups converts a single group’s distress into a banking problem. Eg. The corporate loan losses that produced the non-performing asset build-up of the 2010s were concentrated in a handful of infrastructure and metals groups. Fix. Enforce large exposure limits at group rather than borrower level and publish group-wise banking exposure.
    • Bidding rules can favour incumbents: Net worth, prior experience and bank guarantee conditions in auctions and tenders can exclude new entrants before price is considered. Eg. Critical mineral block auctions have repeatedly failed for want of qualified bidders. Fix. Set qualification thresholds proportionate to block or contract size and allow consortium bidding for first-time entrants.
    • Competition enforcement is slow relative to market speed: Investigations concluded years after conduct occurs cannot restore a market that has already tipped. Eg. Appeals against Competition Commission of India orders routinely run for several years before finality. Fix. Fund a dedicated appellate bench for competition matters with statutory disposal timelines.

    Conclusion

    The reluctance of cash-rich Indian firms to invest is being read as a political economy problem rather than a demand or global uncertainty problem. Concentrated political power, an uneven playing field and the fear of being displaced by a national champion together deny new entrants confidence in a 10 to 20 year horizon. Reversing that requires dispersing economic power, which carries political costs the current settlement has no incentive to accept. What remains unresolved is whether market concentration will be treated as a cost to growth or retained as a political asset.

  • What young want, and why creating good jobs is no longer optional

    Why in the News

    Almost 70 per cent of urban job seekers surveyed in Delhi said they were looking for a job that would place them on their ideal career path from the start, instead of settling for any job. The survey covered over 3,000 randomly sampled men and women, 24 years of age on average, living in middle-class residential areas of the capital, and was conducted in the summer of 2023. Their stated career goal was predominantly salaried or formal-sector employment. The Periodic Labour Force Survey (PLFS) for the same year records an urban labour market that cannot supply that goal, with less than 50 per cent of the urban workforce in salaried jobs. A follow-up experiment then exposed a random subset of the same job seekers to real-world job openings and salaries, and re-surveyed them a year later. Correcting their information lowered their expectations and left their aspirations untouched, so the contest is over who adjusts, the young or the labour market.

    What is the Periodic Labour Force Survey (PLFS)?

    • Purpose: The PLFS is the official household survey that estimates how many people are working, seeking work or outside the labour force, and in what kind of work they are engaged.
    • Nodal body: The National Sample Survey Office under the Ministry of Statistics and Programme Implementation conducts it and is the principal source of employment estimates in India.
    • Activity status measures: Usual Status classifies a person by activity over the preceding 365 days, while Current Weekly Status treats a person as unemployed if they did not work even one hour in the reference week.

    What do young urban job seekers actually want from work?

    • A career path, not a job: Almost 70 per cent said they wanted an opening that put them on their ideal career path from the start rather than any available job, and more men said this than women.
    • Formal salaried work is the goal: The stated career goal was predominantly salaried or formal-sector employment rather than casual or own-account work.
    • Women lean harder towards salaried jobs: More women job seekers aspired to salaried positions than men did.
    • Only 14 per cent of women prefer self-employment: Just 14 per cent of the women interviewed said they would rather work for themselves.
    • A third of men want to run enterprises: More than a third of the men wanted to start their own businesses.
    • Public sector preference is a myth: A comparable share of these men and women were looking for private-sector salaried jobs, which cuts against the dominant narrative of a strong preference for government jobs.

    How far does the urban labour market fall short of those preferences?

    • Salaried work is a minority outcome: Less than 50 per cent of India’s urban workforce holds a salaried job.
    • It is scarcer still for the young: Merely one in every three employed 24-year-olds holds a salaried job, a lower share than for the workforce as a whole.
    • Government jobs are a tenth of the market: No more than 10 per cent of the urban workforce is in the public sector or government jobs.
    • The formal private sector is barely larger: Only about 15 per cent of the urban workforce is in the formal private sector.
    • Self-employment is the largest single category: Of those working, 40 per cent are self-employed.
    • Most self-employment is subsistence, not enterprise: An overwhelming majority of these businesses hire no worker at all and report an annual turnover of less than Rs 10 lakh, so the aspiration to build a firm meets a market of one-person shops.

    Why do salary expectations diverge from what these jobs actually pay?

    • The occupations tested: Respondents were asked what they expected to earn as an accounts keeper, a primary school teacher, a data entry operator, a hospital attendant and an electrician, and each expectation was measured against actual PLFS earnings for the same occupation.
    • Expectations run up to 40 per cent above reality: Job seekers expect up to 40 per cent higher salary than the earnings the PLFS records for the same work.
    • Men are the more over-optimistic: Male job seekers expect almost Rs 8,000 more per month than the actual average earnings for these jobs.
    • The gap widens for salaried work: For salaried jobs specifically, male job seekers expect Rs 8,500 more per month than actual earnings.
    • The aggregate divergence exceeds 30 per cent: Taken together, salary expectations sit more than 30 per cent above reality, and the skew is sharper still among job seekers below 25 years of age, especially young men.
    • Information and inexperience explain the gap: A lack of information or outright misinformation about openings and pay, combined with inexperience of the job market, are the two obvious sources of the misalignment.

    What did correcting job seekers’ information change, and what did it leave untouched?

    • The design: A random subset of the 3,000 job seekers was informed about real-world job opportunities and salaries, and both the informed and the non-informed groups were re-surveyed twelve months later.
    • Expectations fell: Accurate information significantly dampened labour-market expectations of landing the ideal job, relative to those who were not informed.
    • Men disengaged first: Men in particular became less likely to report that they were on their ideal career path.
    • Search effort fell with belief: That disillusionment was accompanied by a decline in men’s job-search intensity.
    • The two exits from a failed search: As preferred job offers fail to materialise, job seekers adjust expectations downwards and either remain in the same jobs or leave the labour market and enrol at educational institutions.
    • Aspirations did not move: The answer on whether aspirations changed is a clear no, since these men and women continued to aim for formal-sector jobs or dynamic entrepreneurship a year later, because aspirations are long-term goals and not easily malleable.
    • High education costs make the expectation rational: Good-quality education is increasingly bought from private institutions at rising cost, so a high expected salary is not only aspirational but necessary to recover that outlay.

    Challenges to the Periodic Labour Force Survey

    • Informal work is under-captured: Household surveys do not fully record home-based, gig and platform work in a workforce that is about 90 per cent informal. Eg. Delivery and ride-hailing riders working across two aggregators are frequently recorded as ordinary self-employed workers. Fix. Align the activity definitions with International Labour Organization and System of National Accounts practice so multi-job holders, freelancers and platform workers are counted separately.
    • No skill mapping against job requirements: The survey does not match worker skills to the requirements of available jobs, so structural unemployment cannot be measured from it. Eg. The India Skills Report finding that only about half of graduates are employable has no counterpart in official survey data. Fix. Add a skills and job-requirement module so mismatch is measured rather than inferred.
    • Rural data has been low frequency: Rural estimates were historically produced only once a year, so rural distress is visible with a long lag. Eg. A monsoon failure that pushes workers back into farm labour shows up only in the following annual round. Fix. Extend high-frequency quarterly or monthly rounds to rural areas rather than confining them to towns.
    • Urban bias in the high-frequency rounds: The quarterly bulletins have been confined to urban areas, which under-measures the larger rural workforce. Eg. Quarterly urban unemployment rates are debated publicly while comparable rural numbers are unavailable. Fix. Publish a single integrated quarterly series covering both sectors on the same reference period.
    • New job categories are missing: Gig, digital, start-up and green jobs are not adequately represented in the occupational classification the survey uses. Eg. Solar installation and battery recycling roles have no distinct occupational code. Fix. Integrate Employees’ Provident Fund Organisation, National Career Service and PLFS records so emerging job creation is tracked from administrative data as well.

    Conclusion

    Young urban job seekers want formal salaried careers and dynamic enterprise, and correcting their information about the market lowers what they expect to earn without changing what they want. That asymmetry places the burden of adjustment on the economy rather than on the young, and realising these aspirations requires a structural transformation that creates jobs with regular pay and benefits. The four Labour Codes are a step in that direction, and creating good jobs and genuine career paths, rather than jobs alone, is no longer optional. Failure carries a specific cost, which is the squandered potential of an entire generation.

  • The personalised vaccine that could cut skin cancer death risk

    The personalised vaccine that could cut skin cancer death risk

    Why in the News

    A new personalised cancer vaccine, intismeran, administered alongside the immunotherapy drug Keytruda, has been shown in Phase 3 results to reduce the risk of death from the recurrence and spread of skin cancer.

    How does intismeran work?

    1. Step one, read the tumour: The therapy begins by identifying the mutations, called neoantigens, in a sample of the patient’s own tumour.
    2. Step two, build the instruction set: A vaccine is then made of synthetically developed messenger RNA (mRNA), a single stranded molecule that carries genetic instructions from DNA in the cell nucleus and tells the cell which proteins to make. Each treatment consists of mRNA coding for 34 such neoantigens.
    3. Step three, administer and translate: Once administered, the body generates these proteins from the mRNA instructions.
    4. Step four, present to the immune system: The body then presents those proteins to the immune system, which is trained to recognise them as belonging to the cancer.

    Why must a cancer vaccine be personalised?

    1. Neoantigens exist only on cancer cells: Neoantigens are proteins found only on the cancerous cells, which the body’s immune system can be trained to recognise.
    2. They differ from patient to patient: These neoantigens vary from person to person, so they become an identifier for that individual’s cancer and cannot be mass produced as a single formulation.
    3. The principle is the same as any vaccine: A vaccine for an infectious disease contains the antigen from a pathogen, the proteins or lipids that train the immune system to recognise and fight it, and this therapy contains cancer neoantigens instead.
    4. The benefit is immunological memory: The cancer’s fingerprint enters the immune system’s memory, so if the cancer returns the body can recognise it immediately and mount a response, prolonging recurrence free survival.
    5. A decade of work behind one result: Work on this approach has run for around a decade, and this is the first clinical breakthrough.

    What did the Phase 3 study find?

    1. Death risk from recurrence fell: When the vaccine was given with Keytruda, the risk of death owing to recurrence of skin cancer went down by 49 per cent.
    2. Death risk from spread fell further: The risk of death owing to the cancer spreading went down by 59 per cent.
    3. The comparison arm matters: Both results are measured against treatment with Keytruda alone, not against no treatment.
    4. The comparison arm is already strong: Keytruda (pembrolizumab, a checkpoint inhibitor that blocks the PD-1 receptor cancer cells use to switch off the immune response against them) has over the years been shown to be much more effective in treating certain cancers than traditional chemotherapy, so the gain sits on top of an established benchmark.
    5. Side effects were mild: The most common side effects noted in the study were fatigue, injection site pain and chills.

    What does this mean for India?

    1. Reason one, the disease is rare here: Melanoma is one of the most common types of cancer in the caucasian population, and is not commonly seen among Indians.
    2. The share is a fraction of a per cent: Globocan, short for Global Cancer Observatory, an online platform that maintains cancer statistics, shows that melanoma accounts for only 0.26 per cent of all cancer cases in India and 0.17 per cent of deaths.
    3. Reason two, cost: Most patients in India are unable to afford Keytruda even with patient assistance programmes, and a combination therapy compounds a barrier that already exists for the immunotherapy alone.
    4. Access to immunotherapy is already narrow: A real world study from Tata Memorial Hospital showed that only 1.6 per cent of the patients who need such immunotherapy are able to access it.

    Challenges to personalised mRNA cancer vaccines

    1. Every dose is a separate manufacturing run: The vaccine must be sequenced, designed and produced per patient, so the process cannot be batched and the turnaround competes with tumour progression. Eg. Each treatment encodes 34 neoantigens specific to one person’s tumour. Fix. Build automated, closed-system manufacturing units co-located with cancer centres, on the model already used for cell therapy production.
    2. Cost scales with individualisation: A therapy that cannot be mass produced carries no volume discount, so the price gap over a standard drug widens rather than narrows with adoption. Eg. Even the standard companion immunotherapy reaches only 1.6 per cent of Indian patients who need it. Fix. Negotiate outcome linked pricing, where payment is tied to recurrence free survival achieved rather than to doses supplied.
    3. Cold chain requirements restrict reach: mRNA products require ultra-low temperature storage and transport, which most Indian district level oncology facilities do not have. Eg. Covid-19 mRNA vaccines were never widely deployed in India partly for this reason. Fix. Extend the cold chain built for the universal immunisation programme with ultra-low temperature capacity at regional cancer centres before such therapies are introduced.
    4. Tumours can escape the target: Cancer cells can lose the targeted antigen over time, which is the known failure mode of antigen directed immunotherapy. Eg. Relapse through antigen escape is documented in CAR-T cell therapy for blood cancers. Fix. Design vaccines against multiple conserved neoantigens and pair them with checkpoint inhibitors, so escape from one target does not end the response.
    5. Regulatory pathways assume a fixed product: Approval systems are built to assess an identical formulation across a trial population, while each dose here differs by design. Eg. India’s biotechnology approvals are already split across the Department of Biotechnology, the drug regulator and the environment ministry. Fix. Create a platform approval route that licenses the manufacturing process and the design algorithm rather than each individual product.
    6. The evidence is disease specific: The result is established for melanoma alone, and benefit in the cancers that dominate India’s burden is not demonstrated. Eg. Melanoma is 0.26 per cent of Indian cancer cases while breast, oral and cervical cancers account for the bulk. Fix. Prioritise Indian participation in trials of the same platform for oral, breast and cervical cancers, so approval evidence is generated on the local disease profile.

    Conclusion

    A personalised mRNA vaccine has for the first time produced a meaningful clinical benefit in cancer, cutting the risk of death from recurrence by 49 per cent and from spread by 59 per cent when added to an existing immunotherapy. The result validates the principle that a therapy can be built against each patient’s own tumour mutations rather than against a disease in general. For India the immediate impact is limited, because melanoma is rare here and the companion drug reaches under two per cent of the patients who need it. The question that remains open is whether the platform is extended to the cancers that actually dominate India’s disease burden.

    “[2022, GS3, 15 marks] What is the basic principle behind vaccine development? How do vaccines work? What approaches were adopted by the Indian vaccine manufacturers to produce COVID-19 vaccines?”

  • What India can learn from EU’s AI reset

    What India can learn from EU’s AI reset

    Why in the News

    The European Union’s Artificial Intelligence (AI) Omnibus entered into force on 27 July 2026 and changes parts of the European Union Artificial Intelligence Act, 2024 (EU AI Act). It extends some deadlines, simplifies some compliance requirements and gives regulators and companies more time to prepare for the high-risk AI rules.

    What is the EU AI Act’s risk-based framework?

    1. The organising principle: The Act sorts AI systems by the level of risk they pose and attaches obligations to each tier. The regulatory burden rises with the potential for harm rather than with the technology used.
    2. The prohibited tier: Some AI practices are prohibited outright under the Act. No compliance route is available for a practice in this category.
    3. The high-risk tier: High-risk systems face strict obligations before and during deployment. These are the obligations whose preparation deadlines the Omnibus has extended.
    4. General-purpose models: General-purpose AI models, meaning models trained broadly and adaptable to many downstream tasks rather than built for one application, came under a specific set of rules. They are governed separately from the risk tiers that apply to particular deployments.

    What does the AI Omnibus change, and why now?

    1. The instrument and its date: The AI Omnibus entered into force on 27 July 2026. It amends parts of the AI Act rather than replacing the framework.
    2. Deadlines extended: Some compliance deadlines under the Act have been pushed back. Regulators and companies have more time to prepare for the high-risk AI rules.
    3. Compliance simplified: Some compliance requirements have been simplified. The obligations themselves remain in place at their existing levels.
    4. The reason stated: Implementation of the original framework proved difficult in practice. The Omnibus is the EU’s response to that implementation experience rather than to a change in the risk assessment.
    5. How it is characterised: The change is an admission that AI is changing faster than laws can normally change. It demonstrates that even a carefully designed regulation must be capable of adjustment.

    What are the five lessons for India?

    1. Regulation must be capable of learning: Technology changes and risks change, so regulators must have the ability to review and adjust rules. Regulation should be treated as a continuing process rather than a single enactment.
    2. Regulation needs an escape valve: Rules work only where regulators and companies have the capacity to implement them. India should consider regulatory sandboxes and regular reviews of AI rules, and sunset mechanisms could make regulation more responsive.
    3. Compliance cost decides who can compete: Large technology companies can hire lawyers, engineers and auditors, and start-ups cannot always do so. Excessive compliance costs could unintentionally favour large companies and reduce competition.
    4. Simplification must not mean deregulation: Reducing paperwork is different from reducing safeguards. AI can create serious risks involving privacy, discrimination, manipulation and opaque decision-making, and simpler regulation must not mean weaker protection.
    5. Institutional maturity is the fifth lesson: The EU has shown that even a major regulatory framework can be revised after enactment. Regulatory maturity means recognising when rules are not working and changing them.

    Where does India’s AI governance currently stand?

    1. A different path so far: India has focused on responsible AI, innovation and sector-specific governance rather than creating a comprehensive AI law. Sectoral regulators apply existing mandates to AI within their own domains.
    2. Flexibility carries a cost: Flexibility can be useful and it should not become uncertainty. Businesses need clarity, citizens need protection and regulators need clear responsibilities.
    3. The proportionality principle India would need: The regulatory burden should depend on potential harm. The greater the risk to people and society, the stronger the safeguards should be.
    4. The assets India brings: India has a large digital population and experience with digital public infrastructure. It also has a growing technology sector and experience in deploying digital services at scale.
    5. The institutions available to build on: The IndiaAI Mission can play an important role in an adaptive Indian model of AI governance. Regulatory sandboxes, sectoral regulators, research institutions and industry bodies can carry the rest.

    Is regulation genuinely a trade-off against innovation?

    1. The framing the debate defaults to: The debate over AI is often presented as a choice between regulation and innovation. That framing treats every safeguard as a cost to be traded away.
    2. Why the framing is wrong: The choice is false because unregulated deployment carries its own costs in privacy, discrimination and opaque decision-making. The challenge is to design regulation that makes innovation safer and more trusted.
    3. What the EU revision actually demonstrates: The EU relaxed timelines and paperwork and did not relax the substantive safeguards. The revision therefore tests the trade-off framing and does not confirm it.
    4. The asymmetry the framing hides: Compliance cost falls hardest on the smallest firms, so heavy regulation reduces competition and light regulation reduces protection. India must create a framework that protects citizens while allowing experimentation, and be capable of changing as technology changes.

    Challenges to a risk-based AI law in India

    1. Risk tiers age faster than statutes: A fixed list of prohibited and high-risk uses is overtaken by capabilities that did not exist when the list was drawn. Eg. General-purpose models required a separate rule set in the EU Act after the original risk-tier design was settled. Fix. Place the risk classification in delegated rules subject to a mandatory periodic review rather than in the parent statute.
    2. Regulatory capacity is the binding constraint: Enforcement requires auditors and technical staff who can inspect model behaviour, and those skills are scarce in the public sector. Eg. Implementation difficulty is the stated reason the EU extended its own high-risk deadlines. Fix. Build a shared technical audit facility under the IndiaAI Safety Institute that sectoral regulators can draw on.
    3. Algorithmic bias reproduces existing exclusion: Models trained on historical data encode the patterns of that data, including patterns of discrimination. Eg. An automated recruitment system built at Amazon was found to downgrade applications from women. Fix. Mandate pre-deployment bias testing and published audit results for any system used in employment, credit or welfare decisions.
    4. The accountability gap in automated decisions: It is often unclear who is answerable for an AI-driven decision, the developer, the deployer or the administrator. Eg. A welfare eligibility system can deny a benefit without producing a reason the applicant can contest. Fix. Impose a statutory right to an explanation and to human review for any automated decision affecting a legal right or entitlement.
    5. Compute and data concentration: AI capability is concentrated in a few advanced economies, which leaves other countries as consumers rather than creators of the technology. Eg. India’s response has been a national compute grid of over 38,000 graphics processing units under the IndiaAI Mission. Fix. Treat compute, datasets and models as shared developmental resources with subsidised access for start-ups and researchers.

    Conclusion

    The EU has demonstrated that a comprehensive AI framework can be enacted and then revised when implementation shows it is not working, and the AI Omnibus of 27 July 2026 is that revision. Its lesson for India is not that regulation should be lighter but that it should be capable of learning, proportionate to harm, affordable for small firms and explicitly separate from deregulation. India has no comprehensive AI law and has the digital public infrastructure, the sectoral regulators and the IndiaAI Mission to build an adaptive one. What remains unresolved is whether India converts its current flexibility into a stated framework with clear responsibilities, or leaves it as uncertainty that businesses and citizens both bear.

    Government Initiatives on Artificial Intelligence

    1. IndiaAI Mission, 2024: Approved with an outlay of ₹10,371 crore and implemented by IndiaAI under the Ministry of Electronics and Information Technology. Its stated vision is making AI in India and making AI work for India, delivered through seven pillars.
    2. IndiaAI Compute and AIKosh: The compute pillar operates a national AI compute grid with over 38,000 graphics processing units at up to 40 per cent lower cost for eligible users. AIKosh is the national dataset repository with over 3,000 datasets and 243 models across 20 sectors.
    3. IndiaAI Foundation Models and FutureSkills: The foundation models pillar supports indigenous multimodal models built by entities including Sarvam AI and Gnani AI. FutureSkills funds fellowships and AI labs with a focus on Tier-2 and Tier-3 cities.
    4. Safe and Trusted AI: This pillar covers bias mitigation, privacy, explainability and AI governance, and it established the IndiaAI Safety Institute as a national trust framework. NITI Aayog’s Responsible AI for All initiative runs alongside it on public discourse and ethical audits.
    5. Language and access platforms: Digital India Bhashini provides speech and translation tools across 22 Indian languages, and Project Vaani has assembled a 150,000 hour Indian speech dataset. India hosted the India AI Impact Summit 2026 at Bharat Mandapam, the first major global AI summit in the Global South.

    “[2026] Which of the following statements with regard to Large Language Models (LLMs) used in machine learning is/are correct?

    1. LLMs assign probabilities to the next possible words and then pick the one with the highest probability.

    2. LLMs process data through mathematical optimization to minimise prediction errors.

    3. LLMs produce unbiased outputs.

    (a) 1 only

    (b) 1 and 2 only

    (c) 2 and 3 only

    (d) 1, 2 and 3

  • Importance of elephant corridors in reducing conflict

    Importance of elephant corridors in reducing conflict

    Why in the News

    A Supreme Court Bench led by the Chief Justice of India directed the Centre to conduct a fresh survey of elephant corridors. The Bench held that these corridors cannot be blocked out of a fear of crop damage, because elephant herds by nature travel long distances. The Bench was hearing a writ petition on managing human-elephant conflict, which had earlier sought to prevent the use of fireballs, spikes and similar materials to drive elephants away. In its order the Bench asked the Centre to indicate the steps taken to prohibit those methods and any other “coercive measure” used to divert the natural movement of elephants. The direction sets a conservation requirement against the immediate economic loss of farmers whose fields lie along those routes.

    What is an elephant corridor?

    1. Definition: An elephant corridor is a movement pathway connecting two natural habitats, allowing herds to pass between them without entering settled land.
    2. The mapped stock: The government’s last major mapping exercise, in 2023, documented 150 elephant corridors across 15 states.
    3. Why they carry legal weight: Disrupting a corridor both sparks human-elephant conflict and poses a direct threat to the animals, which is why blockage is treated as a conservation failure rather than a land use choice.

    Why do elephants need to move over long distances?

    1. They are highly mobile mammals: Asian elephants are highly mobile and social animals, and a male elephant’s average home range, the area it typically uses for food, water and shelter, extends between 50 and 300 sq km.
    2. Movement takes more than one form: Elephants move through their range in herds or individually, so a corridor must accommodate both group and solitary passage.
    3. Home ranges are not fixed: Ranges extend or contract depending on habitat type, food availability, water sources, population density and human disturbance.
    4. Movement is seasonal: Elephant movement is strongly influenced by the seasonal and spatial distribution of food, water and habitat.
    5. A documented seasonal pattern: Seasonal migrations into Kerala are common during the dry months, as elephants seek water and food in the relatively moist forests of the Western Ghats, according to a recent Environment Ministry report.
    6. Climate has driven movement historically: Climate change and drought have both played a role in forcing elephant migration.

    What does an intact corridor actually deliver?

    1. Genetic exchange: Corridors allow elephants genetic exchange or dispersal, which maintains diversity in their population pool and prevents isolated herds from inbreeding.
    2. Seasonal resource access: Well conserved corridors give elephants access to food and water in natural habitats during seasonal changes.
    3. Fewer crop encounters: That access is what prevents elephants entering crop lands, so the corridor is the mechanism that reduces the crop damage farmers fear.
    4. Reduced mortality: A functioning pathway removes the need for herds to cross highways, railway lines and settlements, which is where non natural elephant deaths occur.

    What is fragmenting the corridors?

    1. Infrastructure construction: The major issues in recent disruptions are infrastructure construction and industrial and mining activity along or across corridor routes.
    2. Linear infrastructure specifically: Highways, existing and new railway lines, canals and power lines push elephants towards farmlands and human settlements, triggering conflict.
    3. Land use change on the fringes: Changing land use, plantations and farmland fencing fragment habitat at its edges, which closes off the approaches to a corridor even where the corridor itself survives.
    4. Mining pressure drives displacement: Habitat loss and mining pressure have pushed elephants out of established ranges and into new ones over the past two decades.

    Where is the fragmentation worst?

    1. India has four principal elephant landscapes: These are the Western Ghats; the North-Eastern Hills and Brahmaputra floodplains; the Shivalik Hills and Gangetic plains; and Central India and the Eastern Ghats.
    2. Western Ghats: The habitat of the Western Ghats population is rapidly fragmenting owing to changing land use, plantations and farmland fencing, as noted in the last all-India elephant population estimation report released in 2025.
    3. Shivalik and Brahmaputra: The same report recorded similar disruptions in the Shivalik and Brahmaputra plains.
    4. Central India and Eastern Ghats: This landscape carries the biggest challenge, with Chhattisgarh receiving elephants arriving from Jharkhand and Odisha over two decades owing to habitat loss and mining pressures.
    5. The range is still expanding: Elephants have also expanded their range into parts of Madhya Pradesh and Maharashtra, creating conflict in states with no history of managing elephant populations.

    What has the Court asked the Centre to do?

    1. A fresh survey: The Centre must conduct a fresh survey of elephant corridors, which resets the 2023 mapping exercise as the operative baseline.
    2. Crop damage is not a ground for blockage: Corridors cannot be blocked out of a fear of crop damage, since elephant herds by nature travel long distances.
    3. An account of prohibition steps: The Centre must indicate the steps taken to prohibit the use of fireballs, spikes and similar materials to drive elephants away.
    4. A wider category of prohibited action: The order extends to any other “coercive measure” used to divert the natural movement of elephants, which covers methods the petition did not name.

    Challenges to protecting elephant corridors

    1. Corridors have no independent legal status: A mapped corridor is not a notified protected area, so land inside it can be diverted for a project without triggering the safeguards that apply to a sanctuary. Eg. The 150 corridors mapped in 2023 span forest, revenue and private land with differing tenure rules. Fix. Notify identified corridors as conservation reserves or ecologically sensitive areas so diversion requires the same clearance as protected area land.
    2. The mapping baseline is dated and voluntary: The last major mapping was completed in 2023 and carries no requirement that project appraisals check against it. Eg. The Court had to direct a fresh survey rather than rely on a periodic statutory exercise. Fix. Fix a statutory five year corridor survey cycle and make the corridor layer a mandatory input to environmental clearance appraisals.
    3. Linear projects are cleared one at a time: Each highway, railway line, canal and power line is assessed on its own merits, so the cumulative severance of a corridor never appears in any single appraisal. Eg. Elephant movement in Central India was reshaped by two decades of accumulated mining and infrastructure pressure rather than any one project. Fix. Mandate landscape level cumulative impact assessment for all linear infrastructure crossing a mapped corridor.
    4. Mitigation structures are built to the wrong specification: Underpasses and overpasses are often sized for smaller species and sited for engineering convenience rather than on observed elephant crossing points. Eg. Corridors carry herds as well as solitary bulls, whose passage needs differ. Fix. Tie animal passage design to radio collar and camera trap movement data for that specific corridor before construction is approved.
    5. Corridors cross state boundaries with no joint manager: Elephants moving between Jharkhand, Odisha and Chhattisgarh pass through three forest administrations with separate budgets and separate priorities. Eg. Chhattisgarh has absorbed elephants displaced from two neighbouring states over two decades. Fix. Constitute statutory inter-state elephant landscape authorities with a pooled budget and a single management plan for each of the four landscapes.
    6. Farmers carry the cost of a conservation decision: A ruling that a corridor cannot be blocked leaves the crop losses on the cultivator who farms beside it. Eg. Seasonal migration into Kerala during the dry months moves herds through cultivated valleys. Fix. Link corridor notification to guaranteed, time bound crop compensation through direct benefit transfer, so protection and compensation are notified together.

    Conclusion

    The Court has established that an elephant corridor is not negotiable against crop protection. The binding constraint is that the network was last mapped in 2023, while infrastructure, mining and land use change have continued to cut across it in all four elephant landscapes. The next step is the Centre’s response to the two directions recorded above, on the fresh survey and on prohibition.

    Back2Basics: The Asian Elephant

    1. Status: The Asian elephant is listed as Endangered on the IUCN Red List and is placed in Appendix I of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES).
    2. Domestic protection: It is listed in Schedule I of the Wildlife (Protection) Act, 1972, the highest level of protection available under Indian law.
    3. Range: India holds the largest wild population of the species, distributed across the four elephant landscapes covering the Western Ghats, the North East, the Shivaliks and Central India with the Eastern Ghats.

    “[2022] With reference to Indian laws about wildlife protection, consider the following statements :

    1. Wild animals are the sole property of the government.

    2. When a wild animal is declared protected, such animal is entitled for equal protection whether it is found in protected areas or outside.

    3. Apprehension of a protected wild animal becoming a danger to human life is sufficient ground for its capture or killing.

    Which of the statements given above is/are correct ?

    (a) 1 and 2

    (b) 2 only

    (c) 1 and 3

    (d) 3 only