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Subject: Economics

  • Rural India needs jobs, not wage guarantees

    Why in the News

    An opinion piece argues that a new rural wage-guarantee scheme has recorded low uptake among the rural workforce, and contends this shows rural India needs durable, income-generating employment rather than a guaranteed-wage safety net. The scheme pays a guaranteed wage for a fixed number of days, which the piece contrasts with sectors such as food processing, renewable energy and small and medium enterprises (SMEs), which it argues could generate sustained employment rather than a temporary income floor. The tension is between a safety-net approach to rural distress and a growth-oriented approach that builds durable non-farm jobs.

    Why has the wage-guarantee scheme seen low uptake?

    1. Wage ceiling below market rates: Where the scheme’s guaranteed wage sits below prevailing local market wages for casual labour, workers have limited incentive to enrol, since informal market work pays more for the same effort.
    2. Seasonal mismatch: A fixed-day guarantee does not align well with the seasonal peaks in rural labour demand during sowing and harvest, when private demand for labour already absorbs much of the available workforce.

    What alternative does the piece propose?

    1. Food processing: Expanding food processing capacity near production zones can absorb rural labour in agro-processing roles that persist beyond a single season.
    2. Renewable energy: Rural solar and biomass energy projects can generate sustained local employment in installation, operation and maintenance roles.
    3. Small and medium enterprises: Supporting rural SMEs with credit and market access can create employment that grows with demand, rather than being capped at a fixed number of guaranteed days.

    Conclusion

    The piece argues that a wage-guarantee scheme with low enrolment is evidence that rural India’s underlying problem is a shortage of durable jobs, not a shortage of a temporary income floor, and that policy should shift resources toward sectors capable of generating sustained rural employment.

    Unemployment in India

    1. The International Labour Organization (ILO) defines an unemployed person as someone of working age, without work, currently available to work and actively seeking work in a reference period.
    2. India’s unemployment carries several distinct types: frictional, structural (a mismatch between workers’ skills and market demand), cyclical, seasonal, disguised (as in agriculture, where more people are employed than the work requires), and chronic.
    3. Over 90 percent of India’s workforce remains informal, which limits meaningful, secure job creation regardless of headline employment growth.
    4. Manufacturing contributes only about 16 to 18 percent of GDP, well below China’s roughly 26 percent, constraining the sector’s capacity to absorb surplus labour.

    Government Initiatives for Employment Generation

    1. Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA), 2005: Guarantees 100 days of rural wage employment a year to any adult member of a rural household, and is the specific scheme this op-ed’s wage-guarantee critique concerns.
    2. PM Vishwakarma: Provides collateral-free loans, skilling and toolkits to artisans across 18 traditional trades.
    3. PM Vishwakarma Rozgar Yojana / Employment Linked Incentive (ELI) scheme: Approved with an outlay of about 99,446 crore rupees, targeting 3.5 crore jobs over two years.
    4. e-Shram Portal: A national database that issues unorganised workers a Universal Account Number and links them to social security schemes.
    5. DAY-NRLM: Mobilises the rural poor into Self-Help Groups to build self-sustained livelihoods.

    Challenges in Unemployment

    1. Survey design undercounts informal and rural work: Household surveys do not fully capture home-based, gig or platform work within the roughly 90 percent informal workforce, and rural labour force surveys have historically run at a lower frequency than urban ones. Eg. Rural Periodic Labour Force Survey (PLFS) data was measured only annually for years, while urban data was collected quarterly, understating rural distress in real time. Fix. Move rural PLFS to the same quarterly frequency as urban surveys and explicitly incorporate underemployment into the headline definition.
    2. Capital-intensive growth limits absorption: Investment has flowed disproportionately toward information technology and infrastructure rather than labour-intensive sectors capable of absorbing low and semi-skilled workers. Eg. Services now drive the largest share of GDP growth while employing under 30 percent of the workforce, the jobless growth pattern this op-ed’s wage-guarantee critique responds to. Fix. Direct incentive schemes toward labour-intensive sectors such as textiles, leather, food processing and electronics assembly rather than capital-intensive ones alone.

    Back2Basics: Periodic Labour Force Survey (PLFS)

    1. The PLFS is India’s principal household survey for estimating employment and unemployment, conducted by the National Sample Survey Office (NSSO) under the Ministry of Statistics and Programme Implementation (MoSPI).
    2. It reports unemployment on three measures: Usual Status (activity over the preceding year), Current Weekly Status, and Current Daily Status, the last of which best captures underemployment.
    3. It has historically surveyed urban areas quarterly but rural areas only annually, a frequency gap that limits its ability to track rural distress as it develops.

    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.”

  • Gross FDI hit 15-year high of $30.7 billion in April-June 2026

    Why in the News

    Reserve Bank of India (RBI) data shows gross Foreign Direct Investment (FDI) inflows reached $30.7 billion in April-June 2026, the highest quarterly figure in fifteen years. Net FDI, which nets out repatriation and disinvestment by existing foreign investors, turned positive again in June 2026 at $1.3 billion, after a period of elevated repatriation had kept it depressed. Singapore, the Netherlands, the United States and Canada led the inflows, concentrated in manufacturing. The tension is between the strength of the gross inflow figure and the much smaller net figure, since heavy repatriation by existing foreign investors has been offsetting fresh inflows for several preceding quarters.

    What does the data show?

    1. Fifteen-year high in gross inflows: Gross FDI of $30.7 billion in a single quarter is the highest recorded in fifteen years, reversing a period of relatively subdued inflows.
    2. Net FDI turns positive: Net FDI turned positive in June 2026 at $1.3 billion, after running negative or near zero in preceding months.
    3. Source and sector concentration: Singapore, the Netherlands, the United States and Canada were the leading source countries, with manufacturing the leading destination sector.

    Why does the gap between gross and net FDI matter?

    1. Repatriation pressure: A large gap between gross and net FDI signals that existing foreign investors have been exiting or repatriating profits at a pace close to new inflows. This is a different signal from headline inflow growth alone.
    2. Policy implication: A durable improvement in net FDI, not gross inflows alone, is the more reliable indicator of investor confidence in staying invested in India over the medium term.

    Conclusion

    The fifteen-year high in gross FDI and the return to positive net FDI together mark a genuine improvement in India’s investment climate for the quarter. The scale of prior repatriation means sustained monitoring of the net figure, not the gross headline alone, will show whether the trend holds.

    Back2Basics: Gross versus Net FDI

    1. Gross FDI counts every fresh foreign investment inflow into India in a period, without netting out any outflow.
    2. Net FDI subtracts repatriation, disinvestment and outward FDI by residents from the gross inflow figure, so it reflects the actual capital that remained invested in India.
    3. RBI publishes both figures monthly as part of India’s Balance of Payments data.

    Matching Previous Year Question

    “[2022] Which one of the following situations best reflects “Indirect Transfers” often talked about in media recently with reference to India ?
    (a) An Indian company investing in a foreign enterprise and paying taxes to the foreign country on the profits arising out of its investment
    (b) A foreign company investing in India and paying taxes to the country of its base on the profits arising out of its investment
    (c) An Indian company purchases tangible assets in a foreign country and sells such assets after their value increases and transfers the proceeds to India
    (d) A foreign company transfers shares and such shares derive their substantial value from assets located in India
    ANSWER: (d)”

  • Fair pricing could help sustain UPI network

    Fair pricing could help sustain UPI network

    Why in the News

    The op-ed, by a NITI Aayog consultant, argues that the zero-Merchant Discount Rate (MDR) regime underpinning Unified Payments Interface (UPI)‘s free-to-use model is financially unsustainable, and proposes a differentiated pricing structure as the Department of Financial Services examines whether to restore MDR for high-threshold transactions or merchants. The piece is pegged to a Parliamentary Standing Committee on Finance report tabled this month, which cited an industry estimate of about Rs 20,700 crore in annual UPI operating costs against a Rs 2,000 crore government allocation under the zero-MDR regime.

    What is the fiscal problem with UPI’s current pricing model, and what does the op-ed propose?

    1. The cost-subsidy gap is large and quantified: The Parliamentary Standing Committee on Finance’s report cited industry estimates of roughly Rs 20,700 crore in annual UPI operating costs, against a government allocation of only Rs 2,000 crore under the zero-MDR regime, with banks and payment companies absorbing the balance.
    2. Two restructuring options are formally under examination: The Department of Financial Services is examining restoring MDR for certain high-threshold transactions or merchants, and separately, phasing out government support through a tiered incentive structure.
    3. The op-ed’s proposed principle is differentiated, not uniform, pricing: It argues for keeping UPI free for consumers and small merchants while allowing a capped MDR for larger commercial users and higher-value transactions, on the basis that a uniform rate would be negligible for a large retailer but consequential for a street vendor.
    4. The author’s own research links merchant ecosystem formalisation to UPI adoption: Citing research with Sharon Buteau, the op-ed states that more formalised merchant ecosystems are associated with higher UPI use, and that MDR design should be calibrated to where acceptance networks are still developing rather than applied uniformly.
    5. Aggregated payment data is proposed as a second, non-MDR revenue and policy tool: The op-ed cites PhonePe’s PulsePro and a recent MoU with the Ministry of Electronics and Information Technology (MeitY) to integrate UPI transaction metrics into PM GatiShakti for infrastructure and economic planning, arguing that privacy-safe aggregated payment signals have public value independent of any pricing decision.

    Conclusion

    The op-ed’s position is that UPI’s zero-MDR model has reached a fiscal limit documented by Parliament’s own Standing Committee, and that a threshold-based, differentiated MDR, protecting small merchants and consumers while pricing larger commercial transactions, is a more sustainable path than either continuing an unfunded subsidy or imposing a uniform fee that would slow onboarding in less-formalised markets.

    Back2Basics

    1. Merchant Discount Rate (MDR): The fee a merchant pays to their bank or payment service provider for accepting digital payments, historically waived to zero on UPI and RuPay debit card transactions in India since January 2020 to encourage adoption.
    2. Unified Payments Interface (UPI): A real-time payment system developed by the National Payments Corporation of India (NPCI) that enables instant interbank transactions through a single mobile application.

    “[2023, GS3, 10 marks] What is the status of digitalization in the Indian economy? Examine the problems faced in this regard and suggest improvements.”

  • 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.”

  • India’s youth crisis is about the absence of jobs, not just examination reform

    India’s youth crisis is about the absence of jobs, not just examination reform

    Question (2023, GS3): Most of the unemployment in India is structural in nature. Examine the methodology adopted to compute unemployment in the country and suggest improvements.
    Linkage: The editorial contends that youth agitations and demand for cheaper coaching address only the symptoms of the crisis, whereas the foundational issue is structural unemployment—the deep-seated absence of final job opportunities for qualified youths at the end of their preparation.

    Mentor comment

    The Hindu’s editorial argues that India’s youth unemployment problem is a jobs crisis, not merely an examination reform problem. The youth agitation that forced the resignation of the then Union Education Minister produced a government commitment to examination reform, including free online coaching for competitive examinations using India’s Digital Public Infrastructure. The editorial contends that cheaper coaching addresses only the preparation stage of the crisis, while the deeper problem is the absence of jobs at the end of that preparation.

    What does the data show about the scale of the crisis?

    1. Coaching costs have risen, not fallen: Private coaching now costs 16% of what an average Indian family spends on a child’s education, up from 12.5% in 2018. Nearly a quarter of that spending occurs during the higher secondary years, when students prepare for competitive examinations.
    2. Seat scarcity dwarfs coaching costs: Over 22 lakh candidates appeared for this year’s medical entrance examination for about 1.4 lakh undergraduate seats, with fewer than 10,000 of those seats at the top 50 colleges. The Joint Entrance Examination for engineering colleges shows a similar pattern.
    3. Undergraduate enrolment has fallen for the first time: For the first time since the All India Survey on Higher Education began in 2011, undergraduate enrolment fell by 93,322 in 2023-24, sharpest among young men.
    4. The fall is regionally concentrated: Uttar Pradesh recorded the steepest decline, with undergraduate enrolment down 1.53 lakh even as diploma enrolment rose 1.38 lakh, suggesting students are substituting away from degrees that do not lead to jobs.
    5. Formal, secure jobs remain rare among graduates: Periodic Labour Force Survey unit level data shows that of every 100 graduates aged 15 to 29 in 2025, only 26 held regular salaried employment, and only four held a salaried job with both a contract and social security.

    Why has growth not translated into jobs?

    1. Manufacturing has not absorbed graduates: Manufacturing, the sector best placed to absorb India’s college graduates, remains at around a sixth of gross value added, well short of the quarter of the economy the government has long promised.
    2. Private investment has retreated: Corporate investment fell from 17.3% of GDP in 2007-08 to 10.3% in 2024-25, unmoved by the cut in the corporate tax rate from 30% to 22% in 2019.
    3. Regulatory enforcement has turned selective: The editorial states that a regulatory and enforcement zeal that selectively targets enterprises has disproportionately affected medium sized companies, the segment best placed to generate jobs.

    Conclusion

    The youth employment crisis has two distinct ends: preparation for jobs, and the jobs themselves. Free coaching addresses only the first. The editorial’s position is that public investment in industrial capacity, export-disciplined industrial support, and a less selective regulatory posture toward medium sized enterprises would do more for youth employment than examination reform alone, citing Vietnam as a comparator that has used this route.

  • The fact is youth unemployment has a household cost

    Why in the News

    Periodic Labour Force Survey (PLFS) 2025 data records youth unemployment at 14.8 percent and a Not in Employment, Education or Training (NEET) rate of 40.1 percent among the tertiary-educated, and the argument advanced from this data is that graduate joblessness is a household-level economic cost, not only an individual setback. A young person’s inability to find work does not only reduce that person’s own income, it removes an income the household had budgeted around, often after the household had itself financed the degree that produced no job.

    What is the household cost, distinct from the individual one?

    1. Sunk cost of financing the degree: Households that borrow or spend savings to fund a graduate’s education absorb that cost with no return if the graduate cannot find matching work, a loss the individual unemployment rate does not price in.
    2. Deferred contribution to household income: A household budgets around the expectation that an educated young adult will begin contributing income at a certain age; unemployment past that age forces the household to keep supporting a wage-earner it had expected to become a net contributor.
    3. Compounding effect on savings for other dependants: Money a household would have redirected toward a younger sibling’s education, a parent’s healthcare, or retirement savings instead continues to support an unemployed graduate.
    4. Psychological and bargaining costs within the household: Prolonged dependence on parents past the expected age of self-sufficiency affects a young adult’s standing and decision-making power within the household, a dimension PLFS-style employment data cannot itself measure but that the 40.1 percent NEET rate among the tertiary-educated makes newly visible.

    How does the tertiary-educated NEET rate compare with the general NEET pattern?

    1. Tertiary-educated NEET rate far exceeds the general rate: At 40.1 percent, the NEET rate among India’s tertiary-educated youth is markedly higher than the NEET rate among youth without a degree, inverting the usual expectation that more education reduces the risk of disengagement from work.
    2. Concentration in urban, aspirational households: The households most likely to have financed a tertiary degree, and to therefore carry the sunk cost described above, are disproportionately urban and lower-middle income, the segment for whom a graduate’s income was budgeted as a route out of that bracket.

    Conclusion

    Youth unemployment at 14.8 percent and a 40.1 percent NEET rate among the tertiary-educated do not describe an individual labour market outcome alone. They describe a household that financed an investment in education and is not yet receiving the income return it planned around, a cost that persists in household budgets even where it does not appear in an individual’s own unemployment statistic.

    Youth unemployment in India

    1. About: Youth unemployment measures joblessness among the working-age population, typically 15 to 29 years, whose job search outcomes diverge sharply from the adult labour force.
    2. Rationale for tracking it separately: Youth unemployment behaves differently from the aggregate rate because young workers are more likely to be first-time job seekers with no accumulated informal-sector fallback, so a downturn hits them earliest and hardest.
    3. Recognised typology: Unemployment among India’s youth spans frictional joblessness during the transition from education to work, structural joblessness from a skills mismatch, and disguised underemployment in low-productivity family enterprises and agriculture.
    4. Jobless growth in services: Services drive the largest share of GDP growth but employ under 30 percent of the workforce, limiting the sector’s capacity to absorb new entrants.
    5. Skill deficit at graduation: Only about half of India’s graduates are assessed as readily employable, per employability surveys, pointing to a curriculum gap rather than a shortage of degree holders.
    6. Weak manufacturing absorption: Manufacturing contributes only 16 to 18 percent of GDP, well below the roughly 26 percent contribution in China, limiting the formal, labour-intensive job creation India’s youth bulge needs.
    7. Informality as the default outcome: Over 90 percent of India’s workforce remains informal, so even youth who do find work often find it without security, benefits, or a written contract.
    8. Female youth workforce deficit: Caregiving duties, domestic responsibilities, and mobility constraints keep young women out of paid employment at a much higher rate than young men.

    Challenges in addressing youth unemployment

    1. Survey methodology undercounts informal and gig work: PLFS-style surveys do not fully capture home-based, gig, or platform work within India’s overwhelmingly informal workforce. Eg. Platform-based delivery and ride-hailing work is not consistently classified in the survey’s job categories. Fix. Update survey instruments to explicitly capture gig, platform, and digital work categories, aligned with International Labour Organization and System of National Accounts definitions.
    2. Low-frequency rural data delays policy response: Rural employment data has historically been measured only annually, compared with quarterly urban estimates, masking rural distress in real time. Eg. A poor monsoon’s effect on rural non-farm employment often does not show up in national data until the following year’s release. Fix. Extend the quarterly PLFS survey design to rural areas at the same frequency as urban areas.
    3. Capital-intensive investment bias: Investment continues to flow toward capital-intensive sectors such as information technology and infrastructure rather than the labour-intensive sectors that absorb semi-skilled youth. Eg. Automation in manufacturing has reduced the labour intensity of new capacity even as output has grown. Fix. Direct production-linked incentives toward labour-intensive sectors such as textiles, leather, and food processing, alongside the existing electronics-focused schemes.
    4. Demographic dividend at risk of becoming a demographic trap: A youth bulge that cannot find work stops being an economic asset and starts becoming a fiscal and social liability as the cohort ages without having built savings or skills. Eg. State of Working India 2026 estimates 9.2 crore youth in the NEET category nationally. Fix. Expand the government’s employment-linked incentive schemes and apprenticeship mandates specifically targeted at the 21 to 29 age cohort.
    5. Weak coordination across employment data systems: Employees’ Provident Fund Organisation payroll data, the National Career Service portal, and PLFS survey data are not integrated, making it hard to track whether a given policy intervention is actually creating net new jobs. Eg. The Employment Linked Incentive scheme announced in 2025 tracks payroll additions but not whether they represent new jobs or reclassified existing ones. Fix. Build a single integrated employment data dashboard drawing on EPFO, NCS and PLFS data for real-time tracking.

    Back2Basics: NEET (Not in Employment, Education or Training)

    1. An internationally used labour-market indicator that counts young people who are neither working, studying, nor undergoing any training, distinct from the unemployment rate, which only counts those actively seeking work.
    2. Captures discouraged job seekers and those who have withdrawn from the labour force entirely, a population the standard unemployment rate does not measure.
    3. The State of Working India 2026 report estimates roughly 9.2 crore Indian youth in this category.

    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.”

  • 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.”

  • Did Press Note 3 relaxations help attract more FDI?

    Why in the News

    The government’s March 2026 relaxation of Press Note 3 (2020) now allows the automatic route for foreign investors from land-border-sharing countries where the resulting stake is below 10 percent. Press Note 3 (2020) had required prior government approval for any foreign direct investment from an entity based in, or beneficially owned by, a country sharing a land border with India, a restriction imposed after India’s border tensions with China. Since the relaxation, 29 Foreign Direct Investment (FDI) projects together worth ₹4,895.65 crore have been reported as raised through the automatic route. The scale of that inflow is now being tested against whether it represents genuine new investment or capital that was already structured to qualify.

    What is Press Note 3 and why was it imposed?

    1. Origin in 2020 border tensions: The Department for Promotion of Industry and Internal Trade issued Press Note 3 in April 2020 requiring government approval for FDI from any country sharing a land border with India, a category that in practice targets China.
    2. Stated rationale of opportunistic acquisition: The measure was framed as a safeguard against opportunistic takeovers of Indian companies whose valuations had fallen sharply during the COVID-19 pandemic.
    3. No de minimis threshold in the original rule: The 2020 version applied government-approval scrutiny regardless of the size of the resulting stake, so even a marginal shareholding increase by an investor linked to a bordering country required clearance.
    4. Applied to beneficial ownership, not just direct investment: The restriction reaches an investment structured through a third country if the ultimate beneficial owner is based in a bordering country, closing a routing loophole.

    What has the March 2026 relaxation changed?

    1. Automatic route restored below a 10 percent threshold: Investment from a bordering-country-linked entity resulting in a stake below 10 percent in the Indian company no longer requires prior government approval.
    2. Retains approval requirement above the threshold: Any investment crossing the 10 percent stake mark, or any greenfield or strategic-sector investment, continues to require case-by-case government clearance.
    3. 29 projects reported since relaxation: ₹4,895.65 crore in FDI has been reported as raised through the automatic route across 29 projects since the relaxation took effect.

    Did the relaxation actually attract more FDI?

    1. Reported inflow is modest against India’s total FDI base: ₹4,895.65 crore is a small fraction of India’s annual FDI inflow, so a Press Note 3 relaxation limited to sub-10 percent stakes has not shifted aggregate FDI in a way that will show clearly in headline balance-of-payments data.
    2. The 10 percent cap limits which capital responds: A relaxation confined below the threshold attracts portfolio-style minority stakes rather than the strategic or controlling investment that would signal deeper industrial commitment.
    3. Difficult to isolate the relaxation’s own effect: FDI flows respond to multiple factors simultaneously, including global interest rates and India’s own growth outlook, making it hard to attribute the 29 reported projects solely to the policy change.
    4. Sectoral destination of the reported inflow remains the open question: Whether the ₹4,895.65 crore has gone into manufacturing capacity or into financial and services stakes shapes how much the relaxation has actually served its stated industrial goal.

    Conclusion

    The Press Note 3 relaxation has produced a measurable but modest reported inflow, ₹4,895.65 crore across 29 projects, since March 2026. Whether this represents a genuine widening of investor participation from land-border-sharing countries or capital that was already positioned to enter below the new threshold will become clearer as more reporting cycles pass.

    Back2Basics: Press Note 3 (2020)

    1. Issued by the Department for Promotion of Industry and Internal Trade under the Foreign Direct Investment policy framework, not a standalone statute.
    2. Requires government approval for FDI from, or beneficial ownership traced to, any country sharing a land border with India: China, Pakistan, Bangladesh, Nepal, Bhutan, Myanmar, and Afghanistan.
    3. Applies to both fresh investment and a change in beneficial ownership of an existing investment resulting from a transfer.
    4. Enforced through the Reserve Bank of India’s foreign exchange reporting framework under the Foreign Exchange Management Act, 1999.

    Matching Previous Year Question

    “[2022] Which one of the following situations best reflects “Indirect Transfers” often talked about in media recently with reference to India ?
    (a) An Indian company investing in a foreign enterprise and paying taxes to the foreign country on the profits arising out of its investment
    (b) A foreign company investing in India and paying taxes to the country of its base on the profits arising out of its investment
    (c) An Indian company purchases tangible assets in a foreign country and sells such assets after their value increases and transfers the proceeds to India
    (d) A foreign company transfers shares and such shares derive their substantial value from assets located in India
    ANSWER: (d)”

  • How the Supreme Court ruling redefined ‘industry’

    Why in the News

    A nine-judge Constitution Bench of the Supreme Court revisited the definition of “industry” laid down in Bangalore Water Supply and Sewerage Board v. A. Rajappa (1978), examining how that definition interacts with the term “industry” as newly defined under the Industrial Relations Code, 2020. The 1978 ruling had given “industry” a wide, functional definition covering any organised activity involving cooperation between employer and employee for producing goods or services, regardless of profit motive. The Industrial Relations Code, 2020 narrows this definition by carving out specific exclusions. The Bench’s majority and minority opinions diverge on whether Parliament’s narrower statutory definition can override the Bangalore Water Supply test for constitutional purposes.

    What did the Bangalore Water Supply test originally hold?

    1. Triple test for “industry”: The 1978 ruling held that any activity involving systematic cooperation between an employer and workers to produce or distribute goods or services qualifies as an industry, irrespective of whether the entity is charitable, religious, sovereign, or run by the government.
    2. Sovereign function exception, narrowly read: The 1978 Bench exempted only inalienable sovereign functions of the State, such as legislation, defence, and the administration of justice, from the definition.
    3. Wide coverage of welfare and professional bodies: The test brought hospitals, educational institutions, and clubs employing staff within the definition of “industry,” extending industrial-dispute protections to their employees.
    4. Persistent legislative attempts to narrow it: Parliament had earlier attempted to codify a narrower definition through an amendment that was never brought into force, leaving the 1978 test operative for over four decades.

    What does the Industrial Relations Code, 2020 change?

    1. Statutory definition narrows the exclusions: The Industrial Relations Code, 2020 (the law consolidating the Trade Unions Act 1926, the Industrial Employment (Standing Orders) Act 1946 and the Industrial Disputes Act 1947 into a single code) defines “industry” with specific carve-outs for institutions engaged in charitable, social, or philanthropic services not for profit.
    2. Government departments performing sovereign functions excluded: The Code writes into statute an exclusion for departments discharging sovereign functions, aligning more closely with a narrower reading than the 1978 test.
    3. Domestic and hospital work carved out selectively: The Code excludes certain categories, such as purely domestic service, while leaving other categories, including some hospitals, to be decided case by case.

    Where do the majority and minority views diverge?

    1. Majority view on legislative competence: The majority holds that Parliament may legislatively define “industry” for the purposes of a labour statute, and that a narrower statutory definition prevails over the judicially evolved 1978 test within the Code’s own field of operation.
    2. Minority view on protective intent: The minority holds that a legislative narrowing of “industry” risks excluding workers in charitable, educational, and welfare institutions from industrial-dispute protections that the 1978 Bench extended to them.
    3. Divergence on precedent’s continuing force: The majority treats Bangalore Water Supply as persuasive but non-binding once Parliament legislates a definition, while the minority treats it as continuing to bind interpretation of undefined terms outside the Code’s specific carve-outs.

    Conclusion

    The ruling settles, for now, that Parliament’s statutory definition of “industry” under the Industrial Relations Code, 2020 governs disputes falling within the Code, narrowing the wide protective sweep the Bangalore Water Supply test had given workers across charitable, educational and welfare institutions for over four decades. Litigation over which specific institutions fall inside or outside the Code’s carve-outs is expected to continue as the Code is implemented.

    Back2Basics: Industrial Relations Code, 2020

    1. One of the four labour codes consolidating 29 central labour laws, this one merging the Trade Unions Act, 1926, the Industrial Employment (Standing Orders) Act, 1946, and the Industrial Disputes Act, 1947.
    2. Raises the threshold for prior government permission before layoffs, retrenchment or closure from 100 to 300 workers in an establishment.
    3. Introduces a statutory recognition mechanism for trade unions and a two-member negotiating council where no single union has majority membership.
    4. Notified but implemented in phases, with States framing their own rules under it.

    Matching Previous Year Question

    “[2024, GS3, 15 marks] Discuss the merits and demerits of the four ‘Labour Codes’ in the context of labour market reforms in India. What has been the progress so far in this regard?”

  • Centre plans to cap number of airports a single bidder can win in next privatisation round

    Why in the News

    The Ministry of Civil Aviation plans to cap the number of airports a single private bidder can win in the third round of airport privatisation. The round covers 11 airports grouped into five bundles: Amritsar-Kangra, Varanasi-Gaya-Kushinagar, Bhubaneswar-Hubballi, Raipur-Aurangabad, and Tiruchirapalli-Tirupati. The first two privatisation rounds concentrated a large share of India’s privatised airport traffic in two private groups. The cap sets up a tension between preventing bidder concentration and keeping the auction attractive to the handful of infrastructure players with the balance sheet to run an airport.

    What does the third privatisation round cover?

    1. Bundled bidding across five circuits: The Airports Authority of India (AAI) (the statutory body that owns, manages and privatises Indian civil airports) has grouped the 11 airports into five bundles rather than auctioning each separately, so a bidder wins or loses an entire regional cluster in one bid.
    2. Mix of trunk and regional airports: The bundles combine a higher-traffic anchor airport with smaller regional airports, so an operator absorbs a loss-making regional airport as part of winning the more viable one.
    3. Continuation of the Public-Private Partnership route: The round extends the Operation, Management and Development Agreement (OMDA) (the concession contract structure under which AAI leases an airport’s operations to a private developer for a fixed term while retaining ownership) model used in the first two rounds.
    4. Follows two prior privatisation rounds: Six airports were privatised in the first round and further airports in the second, before this third round was structured.

    Why is the Centre capping bidder concentration?

    1. Two private groups dominate the privatised airport map: One conglomerate operates several of India’s highest-traffic privatised airports won across the earlier rounds, while a second group holds a smaller cluster, leaving few large private operators outside these two.
    2. Concentration weakens the Centre’s post-award leverage: Where one bidder holds most privatised capacity, AAI has fewer credible alternative operators to discipline service standards or renegotiate terms.
    3. A cap widens the bidder base for smaller circuits: Limiting how many bundles a single group can win is intended to draw in operators who would otherwise not bid against an incumbent with deeper resources.
    4. Precedent from other infrastructure sectors: Sector regulators in ports and telecom have used similar concentration limits to prevent a single operator from controlling bottleneck infrastructure across regions.

    Challenges to the airport bidder cap

    1. Fewer bidders may qualify at all: Airport concessions require large upfront capital and aviation operating experience, a pool already limited to a handful of Indian infrastructure conglomerates. Eg. Only two or three consortia bid seriously in each of the first two rounds. Fix. Allow joint ventures and foreign strategic partners to combine capital and aviation expertise so more consortia can qualify.
    2. Regional airports could go unsold: A bundle pairing a loss-making regional airport with a viable one may see no bidder if the cap forces bidders away from the bundles they actually want. Eg. Kushinagar and Gaya carry limited passenger traffic and depend on the Varanasi bundle for viability. Fix. Offer viability gap funding for the weaker airport in each bundle rather than relying on cross-subsidy alone.
    3. Cap design risks being circumvented through related entities: A promoter group can bid through separate subsidiaries or affiliates that appear unconnected on paper. Eg. Beneficial-ownership opacity has complicated concentration limits in the telecom spectrum auctions. Fix. Define the cap by ultimate beneficial ownership, not by the bidding entity’s name.
    4. Slower privatisation pace: Restricting the largest, most capable bidders could stretch out the time needed to complete the round, delaying the capacity upgrades the smaller airports need.
    5. Revenue realisation may fall: A cap that keeps the highest bidder from taking every bundle it wants could produce lower aggregate concession fees than an uncapped auction would.

    Conclusion

    The Ministry of Civil Aviation is finalising the bidding norms for the third privatisation round, with the airport-count cap intended to correct the concentration that followed the first two rounds. The bid documents for the five bundles are expected to be released once the cap’s exact threshold is settled.

    Back2Basics: Airports Authority of India

    1. Statutory body under the Ministry of Civil Aviation, constituted under the Airports Authority of India Act, 1994.
    2. Owns, develops, and manages the majority of India’s civil airports, and leases select airports to private operators through the OMDA route.
    3. Also provides air navigation services across Indian airspace, a function it retains even at privatised airports.
    4. Earns revenue from aeronautical and non-aeronautical charges at the airports it directly operates.

    Matching Previous Year Question

    “[2024, GS3, 15 marks] What is the need for expanding the regional air connectivity in India? In this context, discuss the government’s UDAN Scheme and its achievements.”