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Subject: Governance

Important aspects of Society

  • SabhaSaar Initiative

    Why in the News?

    • Union Minister informed the Rajya Sabha about the SabhaSaar initiative

    About the Initiative

    • AI enabled voice to text meeting summarisation tool
     • Launched by the Ministry of Panchayati Raj
     • Implemented across States and Union Territories
     • Adopted by Gram Panchayats for Gram Sabha and Panchayat meetings
     • Operates on AI and cloud infrastructure
     • Provisioned through India AI Compute Portal
     • Part of the India AI Mission under MeitY

    Key Features

    • Structured minutes of meetings from video and audio recordings
     • Ensures uniformity in Gram Sabha documentation
     • Upload via e GramSwaraj login credentials
     • Built on Bhashini platform
     • Speech to text transcription, language translation, and automated summarisation
     • Supports Hindi, Bengali, Tamil, Telugu, Marathi, Gujarati, and English

    Significance

    • Strengthens grassroots governance
     • Improves transparency and accountability
     • Bridges language, literacy, and digital divides
     • Enables efficient rural administration and instant access to meeting insights

    Consider the following: (2022)

    1. Aarogya Setu 

    2. CoWIN 

    3. DigiLocker 

    4. DIKSHA 

    Which of the above are built on top of open-source digital platforms? 

    (a) 1 and 2 only (b) 2, 3 and 4 only (c) 1, 3 and 4 only (d) 1, 2, 3 and 4

    This 2022 PYQ demonstrates the UPSC’s interest in the underlying technology stack of government initiatives. SabhaSaar is “built on the Bhashini platform” and is “part of the India AI Mission under MeitY”.

  • PM Vishwakarma Scheme  

    Why in the News?

    The National Steering Committee for the PM Vishwakarma scheme has approved several proposals and policy measures to improve loan sanctioning and disbursement under the scheme.

    About PM Vishwakarma Scheme

    • Central Sector Scheme of the Ministry of Micro, Small and Medium Enterprises
     • Launched to support artisans and craftspeople engaged in traditional, family based occupations
     • Focuses on strengthening the Guru Shishya parampara and preserving traditional skills

    Objectives

    • Nurture traditional artisans working with hands and tools
     • Improve skill levels, access to credit, and market linkage
     • Promote digital transactions among artisans

    Time Period

    • Five years
     • From FY 2023 24 to FY 2027 28

    Eligibility and Coverage

    • Available to both rural and urban artisans across India
     • Minimum age: 18 years
     • Must be engaged in a traditional trade
     • Beneficiary should not have availed similar government loans in the last five years
     • Covers 18 traditional crafts including Boat Maker, Armourer, Blacksmith, Hammer and Tool Kit Maker, and others

    Pradhan Mantri Jan-Dhan Yojana’ has been launched for (2015)

    (a) providing housing loan to poor people at cheaper interest rates 

    (b) promoting women’s Self-Help Groups in backward areas 

    (c) promoting financial inclusion in the country 

    (d) providing financial help to the marginalized communities

    The PM Vishwakarma Scheme is a targeted intervention aimed at marginalized craftspeople, providing them access to credit, digital transaction support, and market linkages. These components are crucial mechanisms of financial inclusion.

  • Onboarding of MTNL Pensioners onto SAMPANN  

    Why in the News?

    The Controller General of Communication Accounts (CGCA) has inaugurated the onboarding of all Mahanagar Telephone Nigam Limited (MTNL) pensioners onto the SAMPANN portal, marking a major step in modernizing pension administration under the Department of Telecommunications (DoT).

    About the MTNL Pensioners

    • The onboarding covers 45,939 MTNL pensioners from Delhi and Mumbai.
    • Includes both current retirees (November 2025) and past pensioners.
    • Event held at the Office of Principal CCA, Delhi.
    • Pensioners received E-PPOs (Electronic Pension Payment Orders) during the event.

    About SAMPANN

    System for Accounting and Management of Pension (SAMPANN)

    • A centralized, comprehensive telecom pension management platform of the DoT.
    • Enables fully digital processing of pension cases.

    Key Features of SAMPANN

    • Accurate, rule-based pension calculations.
    • Integrated case processing with end-to-end digital workflow.
    • PFMS-linked timely pension disbursements.
    • Multi-modal grievance redressal system.
    • Mobile app support (Android and iOS).
    • Real-time dashboards for monitoring and transparency.
    • Reduction of paperwork and delays.
    Consider the following statements: (2020)

    1. Aadhaar metadata cannot be stored for more than three months. 

    2. State cannot enter into any contract with private corporations for sharing of Aadhaar data. 

    3. Aadhaar is mandatory for obtaining insurance products. 

    4. Aadhaar is mandatory for getting benefits funded out of the Consolidated Fund of India. 

    Which of the statements given above is/ are correct? 

    (a) 1 and 4 only (b) 2 and 4 only (c) 3 only (d) 1, 2 and 3 only

  • [8th December 2025] The Hindu OpED: Surveillance apps in welfare, snake oil for accountability

    UPSC RELEVANCE

    [UPSC 2023] E-governance, as a critical tool of governance, has ushered in effectiveness, transparency and accountability in governments. What inadequacies hamper the enhancement of these features?

    Linkage: This question links to GS-2 themes of e-governance, transparency, and accountability. The article’s examples of NMMS, Poshan Tracker, and PDS apps directly show how design flaws and exclusion hinder these very objectives.

    Mentor’s Comment

    Surveillance-driven governance is expanding rapidly across India’s welfare programmes. Mobile apps promising “real-time monitoring” and “perfect accountability” are being deployed at scale, often without adequate evidence, capacity, or safeguards. This article critically evaluates the growing reliance on tech fixes in welfare delivery. For UPSC aspirants, it offers an analytical understanding of digital governance, state capacity, accountability frameworks, and ethical concerns, key themes across GS-2 and GS-4.

    Introduction

    Digital tools entered India’s welfare architecture as instruments to modernise attendance, prevent leakages, and strengthen accountability. Over time, however, their use expanded without evaluating field conditions such as connectivity, device access, literacy, and administrative capacity. Surveillance apps have produced limited gains, created new exclusion risks, and shifted the burden of accountability onto frontline workers instead of programme designers and administrators.

    Why in the news

    Welfare programmes across India are increasingly mandating surveillance apps, ranging from biometric attendance to compulsory photo uploads, to improve accountability. But a series of recent failures, especially in schemes like the National Mobile Monitoring System (NMMS) and the Poshan Tracker, has exposed deep flaws. For the first time, governments are publicly acknowledging that these apps are producing unreliable data, penalising genuine beneficiaries, and overburdening frontline workers.

    How did biometric attendance become a dominant tool in welfare programmes?

    1. Biometric punctuality enforcement: Introduced to ensure staff attendance; absenteeism led governments to mandate digital attendance, even threatening punitive action. Example: Block in Uttarakhand where nurses faced punishments for late biometric attendance.
    2. Competing administrative tasks: Conscientious officials stayed back late to complete computerised work, leading to poor next-day biometric compliance.
    3. Impact on health workers: In Rajasthan, RCT evidence showed biometric attendance increased absenteeism, not punctuality.
    4. MGNREGA experience: Wage expenditure tied to digital attendance meant workers paid for tasks they did not perform if supervisors manipulated records.

    Why did the National Mobile Monitoring System (NMMS) generate controversy?

    1. Mandatory photo uploads: Required two geotagged photos daily; failure resulted in wages withheld.
    2. Unrealistic conditions: Poor connectivity in remote areas made uploads impossible.
    3. Limited deterrence of fraud: The app could not confirm whether workers were present all day; supervisors were still able to manipulate attendance.
    4. Excessive burden on workers: Workers anxious about upload deadlines; many were forced to return to worksites simply to capture photos.

    How did the Poshan Tracker create disruptions in nutrition schemes?

    1. Mandatory recognition technology: Ministry required Face Recognition Technology (FRT) for THR pack distribution to children and mothers.
    2. Connectivity problems: Anganwadi worker in Haryana, crowd waiting; app warning: “those who want to eat will continue”, meaning refusal impossible.
    3. Risk of exclusion: Adivasi worker unable to upload photos; THR packs denied to her centre’s beneficiaries.
    4. Extra documentation: Ministry insisted FRT photos must match recorded photographs, adding further layers of control.

    How did ration distribution apps worsen inclusion errors for vulnerable households?

    1. App-based authentication: Some States required biometric or photograph-based verification for the full ration quota.
    2. Penalties for errors: In Jharkhand, uploaded photo mismatch led to partial ration denial.
    3. Burden on elderly/disabled beneficiaries: Those unable to stand for photographs or travel to ration shops lost access entirely.

    Do tech fixes improve accountability in welfare implementation?

    1. Accountability diversion: Apps target frontline workers (anganwadi workers, nurses, teachers) instead of programme designers who control budgets and logistics.
    2. Narrow definition of accountability: Focus limited to procedural compliance rather than service quality.
    3. Over-reliance on automation: Governments assume apps can “prove” honesty or dishonesty; instead, structural gaps remain untouched.
    4. Manipulation persists: Despite apps, fraud, delays, and ghost entries continue, because the administrative ecosystem, not workers, drives corruption patterns.

    Limited effect of tech surveillance

    1. User rejection: Nurses in several states stopped using apps mandated by NHM due to technical and workload issues.
    2. False confidence in data: Administrators felt the ANA tool provided proof of malnutrition despite underlying measurement problems.
    3. Infrastructure mismatch: Apps needed smartphones, servers, data connectivity, conditions often absent in rural welfare ecosystems.
    4. Shifting blame: When NMMS and Poshan Tracker failed, ministries blamed “misuse” instead of app design flaws.

    Accountability Without Capacity: A Flawed Approach

    1. Fragmented accountability: Failures frequently attributed to workers; rarely to poor programme design.
    2. Blame-shifting: Ministries argued NMMS failures were due to workers manipulating apps.
    3. Overproduction of technology: Industries push surveillance apps and governments adopt them without field-testing.
    4. Cost to welfare: Data obsession overshadows quality of service delivery, including nutrition, health outreach, and ration reliability.

    Conclusion

    Surveillance apps in welfare promise transparency but frequently deliver exclusion, burden frontline workers, and create a false sense of accountability. The article shows that technological solutions, when applied without understanding field realities, act like “snake oil”, seductive yet ineffective. Real accountability requires strengthening administrative capacity, improving worker conditions, and focusing on welfare outcomes rather than digital compliance rituals.

  • IndiGo Flight Disruptions and DGCA Temporary FDTL Exemptions

    Why in the news?

    India’s largest airline IndiGo faced severe flight disruptions in early December 2025 due to shortage of flight crew under revised Flight Duty Time Limitation rules, prompting regulatory intervention.

    What is FDTL?

    Rules that regulate pilot duty hours, night operations, number of landings, and mandatory rest periods to manage pilot fatigue and ensure safety.

    New FDTL Norms

    Implemented in two stages:

    1. July 1 — Extended weekly rest for pilots to 48 hours from 36
    2. November 1 — Major changes for night operations
      • Extended definition of night hours
      • Capped night landings to two

    Restricted consecutive night duties to two days a week

    Why IndiGo was hit hardest

    • Very large scale of operations with lean staffing
    • High proportion of night and early morning flights

    Temporary Relief by DGCA (till February 10, 2026)

    • Night defined as midnight to 5 am instead of midnight to 6 am for IndiGo A320 pilots
    • Night landings allowed up to six instead of two
    • Clause restricting substitution of mandatory weekly rest withdrawn
    • 12 DGCA-deputed flight operations inspectors allowed to fly for IndiGo temporarily
    • Exemption reviewed every two weeks with progress report requirements

    UPSC Prelims Pointers

    • DGCA functions: regulatory oversight of civil aviation safety including FDTL norms
    • Pilot fatigue: identified by ICAO as a significant aviation safety hazard
    • IndiGo market share: over 60 percent in domestic aviation

  • [6th December 2025] The Hindu OpED: A growing shadow over digital constitutionalism

    PYQ Relevance

    [UPSC 2024] e-governance is not just about the routine application of digital technology in the service delivery process. It is as much about multifarious interactions for ensuring transparency and accountability. In this context evaluate the role of the ‘Interactive Service Model’ of e-governance.

    Linkage: It links to the article’s focus on transparent, accountable digital systems instead of opaque, surveillance-heavy governance. The Interactive Service Model reflects the need for citizen-centric, rights-based e-governance highlighted in the article.

    Mentor’s Comment

    Digital technologies now shape governance, welfare, and everyday life. But with this convenience comes an unprecedented rise in state and corporate power over personal data. This article analyses the emerging concerns around digital constitutionalism in India. This debate has been triggered by the government’s recent move to mandate the “Sanchar Saathi” app on all mobile devices, an order later rolled back amid public pushback

    Introduction

    India’s digital ecosystem is expanding rapidly, with AI, surveillance systems, and automated governance tools becoming central to state-citizen interaction. While these technologies promise efficiency, they also raise profound constitutional concerns regarding liberty, dignity, privacy, rule of law, accountability, and protection against arbitrary state power. The rollback of the Sanchar Saathi mandate has intensified public scrutiny of the balance between security and rights in the digital age.

    Digital constitutionalism:

    1. It is the application of constitutional principles to the digital age, aiming to adapt and extend protections for rights like privacy and freedom of speech in the online world. 
    2. It involves re-examining how constitutional law operates in an “algorithmic society.” 
    3. Essentially, it’s about reframing constitutionalism to address the unique challenges posed by digital technology, rather than creating a completely new system. 

    Understanding Digital Constitutionalism

    1. Constitutional Principles at Stake: Includes liberty, dignity, equality, accountability, and rule of law in a data-driven world.
    2. Invisible Surveillance Systems: Automated processes like KYC verification, welfare distribution, police databases, and algorithmic decision-making operate with limited transparency.
    3. Risk of Arbitrary Power: Technology enables governance without adequate accountability, transforming everyday life into a monitored ecosystem.

    Why is the Surveillance Infrastructure Expanding?

    1. Growing Cybercrimes: Cyber-offences increased sharply (5.9 lakh to 20.4 lakh), pressuring the state to tighten digital security mechanisms.
    2. Dependence on Private Entities: Telecom, social media, and fintech companies mediate critical citizen services, increasing exposure to opaque data practices.
    3. State-led Technological Governance: Tools like digital ID systems, police databases, and AI-based profiling are becoming integral to governance.

    Efficiency Gains vs Loss of Personal Control

    1. Behavioural Analytics: Hospitals, insurers, schools, and government platforms profile individuals, determining access to services.
    2. Voluntary vs Forced Choice: “Click-through” consent is often unavoidable, reducing privacy to a formal checkbox rather than meaningful choice.
    3. Data-Driven Governance: Decisions affecting rights increasingly rely on opaque algorithms, weakening personal autonomy.

    Surveillance Technologies and Public Life

    1. Digital CCTV & Biometric Systems: Widely deployed across public spaces for administrative efficiency.
    2. Facial Recognition Misuse: Cases abroad show wrongful arrests based on faulty technology; biases against minorities, women, and children documented.
    3. Indian Context: Facial recognition is used frequently without clear legal safeguards; no comprehensive national law limits abuse.

    The Legal System’s Inadequacy

    1. Outdated IT Act, 2000: Not designed for modern surveillance or data-driven governance.
    2. Weak Judicial Enforcement: Privacy guidelines exist but enforcement is inconsistent, making citizens vulnerable.
    3. Delayed Remedies: Courts, tribunals, and oversight bodies do not provide timely relief against digital rights violations.

    Way Forward Rooted in Constitutionalism

    1. Independent Digital Regulator: Needed for adequate oversight on state and private surveillance.
    2. Mandatory Transparency: State and private devices must undergo regular audits.
    3. Limiting Facial Recognition: Clear rules restricting its use; ban for discriminatory or non-essential functions.
    4. Strengthening Rule of Law: Accountability tools, proportionality standards, and judicial review must govern technological deployments.

    Conclusion

    India stands at a crucial crossroads: digital innovation is reshaping governance, but without strong constitutional safeguards, it risks expanding unchecked state and corporate power. Digital constitutionalism must ensure that technology enhances democratic freedoms rather than eroding them. The path forward requires transparent regulation, enforceable rights, and independent institutional oversight to preserve the constitutional promise of dignity, liberty, and equality in the digital era.

     

  • Decoding personality rights in the age of AI

    Introduction

    Personality rights, traditionally rooted in privacy, dignity, and control over one’s identity—are facing unprecedented stress due to generative AI. Deepfake technologies, synthetic media, and AI-generated impersonation are creating new risks of deception, reputational harm, financial loss, and large-scale identity exploitation. Recent legal disputes involving celebrities highlight widening vulnerabilities and the absence of a robust legal framework in India.

    Why in the News? 

    Amitabh Bachchan and Aishwarya Rai recently approached the Delhi High Court seeking protection against AI-generated videos that imitated their identity, voice, and catchphrases. This marks a major turning point because AI deepfakes are now powerful enough to replicate personalities at scale and for commercial misuse, something never seen before. The case exposes how India lacks a unified personality-rights legislation even as misuse grows rapidly, contrasting sharply with the stricter frameworks in the US, EU, and China.

    Erosion of Personality Rights in the AI Era

    1. AI Deepfakes: Enable face swaps, voice clones, and synthetic content that manipulate identity and support misinformation, malice, extortion, and erosion of trust.
    2. Unchecked AI Use: Generates mass commodification of human identity, intensifying reputational and financial vulnerabilities.
    3. Technological Trigger: The rise of generative AI tools has amplified impersonation risks and blurred lines between authenticity and deception.

    How Does Indian Law Currently Address Personality Rights?

    1. Fragmented Framework: India relies on privacy principles, constitutional protection, and selective case law but lacks a dedicated statute.
    2. Judicial Protection:
      1. Justice K.S. Puttaswamy case (2017) upheld privacy as a fundamental right.
      2. Amitabh Bachchan v. Rajat Nagi (2022) recognised personality rights.
      3. Anil Kapoor v. Simply Life India (2023) banned misuse of his catchphrase “jhakaas” and likeness for diluted brand value.
      4. Arijit Singh v. Golden Ventures LLP (2024) protected his voice from AI replication.
    3. Regulatory Limits: IT Act 2000 and Intermediary Guidelines 2021 address impersonation and deepfakes but lack enforcement clarity, especially for cross-border misuse.

    How Do Global Jurisdictions Handle Personality Rights?

    1. United States
      1. Right of Publicity: Treated as transferable property.
      2. Tennessee’s ELVIS Act (2024) bans unauthorized AI voice cloning and deepfake performances.
      3. Character.AI Cases: Highlight how AI models create digital personas that blur reality.
      4. First Amendment Constraints: Free speech limits over-regulation.
    2. European Union
      1. GDPR: Provides dignity-based protection over personal and biometric data.
      2. EU AI Act (2024): Classifies deepfakes as high risk, mandates transparency and labelling.
    3. China
      1. Internet Court Rulings (2024): AI-generated synthetic voices must not deceive consumers.
      2. AI-related cases treat voice actors and media workers as harmed individuals needing redress.

    Why Does India Need a Comprehensive Personality-Rights Law?

    1. Legal Vacuum: No dedicated statute addressing AI impersonation, deepfakes, monetisation of likeness, and cross-border exploitation.
    2. AI Platforms’ Liability: Lack of clear obligations for watermarking, transparency, and algorithmic accountability.
    3. Global Pressure: AI’s transnational nature demands compliance with international standards.
    4. Growing Harm: Cases of identity theft, synthetic celebrity endorsements, and psychological impact from digital cloning are rising.

    What Should India’s Legal Framework Include?

    1. Explicit Definition: Clear categorisation of personality rights, covering image, voice, likeness, name, gestures, and distinctive traits.
    2. Platform Accountability: Mandatory watermarking, AI content labelling, and traceability.
    3. Consent Architecture: Requirement of explicit consent for any AI-generated replication.
    4. Civil and Criminal Remedies: Compensation mechanisms and penalties for willful impersonation.
    5. Cross-Border Enforcement: Harmonisation with EU, US, and global regulatory practices.
    6. Ethical AI Standards: Transparency norms, audit trails, and safeguards against dataset misuse.

    Conclusion

    AI has radically transformed the nature of identity and personhood, challenging traditional legal doctrines surrounding privacy and personality rights. India must move from fragmented protections to a comprehensive, future-ready framework that secures individual autonomy while supporting responsible AI innovation. Without such reform, the risks of impersonation, exploitation, and identity erosion will only multiply.

    PYQ Relevance

    [UPSC 2024] Right to privacy is intrinsic to life and personal liberty and is inherently protected under Article 21 of the Constitution. Explain.

    Linkage: This question directly links to personality rights and AI deepfakes, as both derive from the privacy-autonomy framework under Article 21. It is relevant because the erosion of digital identity through AI impersonation tests the very constitutional protection the Puttaswamy judgment established.

  • Centre notifies four new Labour Codes

    Why In The News?

    The Centre notified all four Labour Codes, introducing major reforms and replacing 29 outdated labour laws dating back to the 1930s.

    1)Introduction to the Labour Codes Notification:

    • Major Reform Announcement: The Centre notified all four Labour Codes, introducing wide-ranging changes in India’s labour framework.
    • Key Focus Areas: The reforms expand social security to gig workers, ensure gender pay parity, enhance women’s workplace rights, and introduce fixed-term employment.
    • Replacement of Old Laws: The Codes replace 29 fragmented labour laws dating back to the 1930s–1950s.

    2)Government’s Stance:

    • Prime Minister’s View: PM Modi described the reforms as one of the most comprehensive labour transformations since Independence.
    • Worker Empowerment: The government highlights that the Codes aim to ensure universal social security, timely wage payments, and safer workplaces.
    • Simplified Compliance: The reforms are expected to promote ease of doing business through simplified compliance mechanisms.
    • Minister’s Statement: Labour Minister Mansukh Mandaviya said the Codes will formalise employment and make the labour ecosystem globally aligned.
    • State-Level Readiness: Most States have already issued draft rules; the Centre is supporting those still finalising rules.

    3)Key Provisions:

    • Women’s Safety and Rights: Expanded rights, including permission for night shifts and enhanced workplace safety.
    • Health and Social Security: Free annual health check-ups for workers above 40 and nationwide ESIC coverage, including hazardous units.
    • Simplified Procedures: A single registration, licensing, and return system for employers.
    • Wage and Safety Standards: Introduction of a national floor wage and creation of a National OSH Board for uniform safety standards.
    • Fixed-Term Employment: Allows fixed-term workers to receive all benefits equivalent to permanent workers.
    • New Work Categories: Gig workers, platform workers, and aggregators are legally defined for the first time.
    • Universal Account Number: Aadhaar-linked UAN ensures portability and easy access to welfare benefits.
    • Inclusion of Plantation Workers: Plantation workers brought under OSHWC and Social Security Codes.

    4)Responses from Stakeholders:

    Trade Union Concerns:

    • Opposition to Codes: Several central trade unions reject the Labour Codes, labelling them anti-worker and pro-employer.
    • Issues with Timing: CTUs argue implementing the Codes amid rising unemployment and inflation will worsen workers’ hardships.
    • Protest Plans: Unions have announced nationwide protests on November 26 and cite earlier strikes against the Codes.
    • Fear of Exploitation: Trade unions warn the reforms could revive a “master-servant” relationship, reducing worker protections.

    BMS Standpoint: The Bharatiya Mazdoor Sangh supports implementation but seeks amendments to remove perceived anti-worker provisions in OSH and Industrial Relations Codes.

    Industry View: CII praises the reforms as a transformative step towards a modern and simplified labour ecosystem.

    [UPSC 2021] With reference to casual workers employed in India, consider the following statements: 1.All casual workers are entitled to Employees Provident Fund coverage.

    2.All casual workers are entitled to regular working hours and overtime payment.

    3.The government can, by notification, specify that an establishment or industry shall pay wages only through its bank account. Which of the above statements are correct? Options: (a) 1 and 2 only (b) 2 and 3 only* (c) 1 and 3 only (d) 1, 2, and 3

     

  • 75th anniversary of National Sample Survey (NSS)

    Why in the News?

    The Ministry of Statistics and Programme Implementation (MoSPI) is conducting the 75th-anniversary culmination ceremony of the National Sample Survey (NSS) along with World Statistics Day on 18 November 2025.

    About National Sample Survey (NSS):

    • Origins: Started in 1950 to fill gaps in national income data; expanded into India’s largest multi-topic socio-economic survey system.
    • Institutional Home: Conducted by NSSO (set up 1970), now merged into the National Statistical Office (NSO) under MoSPI.
    • Organisational Structure: Four key divisions – SDRD (Kolkata) for survey design, FOD (Delhi/Faridabad) for fieldwork, DPD (Kolkata) for data processing, and SCD (New Delhi) for coordination.

    Survey Design and Coverage:

    • Rounds Structure: Includes large thick rounds every five years (≈1.2 lakh households) and thin rounds on specialised themes.
    • Geographic Coverage: Expanded from 1,833 villages in 1950–51 to over 14,000 rural villages and urban blocks in recent rounds.
    • Scope: Generates national and state-level estimates on consumption, employment, migration, health, education, disability, housing, agriculture, elderly conditions, and more than 50 socio-economic themes over 75 years.
    • Representativeness: Provides robust national and regional estimates but does NOT offer district-level granularity.

    Major Surveys Under NSS / NSO:

    1. Periodic Labour Force Survey (PLFS): Launched 2017; India’s key source on employment, unemployment, labour force participation, and quarterly urban labour indicators.
    2. Annual Survey of Industries (ASI): Tracks organised manufacturing — output, inputs, employment, productivity, structural change.
    3. Price Surveys: Produce CPI-Rural, CPI-Urban, CPI-AL/RL, and contribute to WPI, forming the backbone of inflation monitoring.
    4. Urban Frame Survey (2022–27): Updates the sampling frame for all urban socio-economic surveys.
    5. Agriculture and Crop Surveys: Estimate crop yields and support state agricultural statistics systems.

    Significance of the NSS:

    • Policy Backbone: Critical for designing and evaluating programmes such as MGNREGA, PDS reforms, Ayushman Bharat, labour policies, rural development, and welfare targeting.
    • Macroeconomic Relevance: Supports GDP estimation, poverty assessment, consumption tracking, and inflation analysis.
    • Long-Term Value: Provides the most reliable, comparable household-level datasets in India, enabling analysis of structural change over decades.
    [UPSC 2018] As per the NSSO 70th Round “Situation Assessment Survey of Agriculture Households”, consider the following statements:

    1. Rajasthan has the highest percentage share of agriculture households among its rural households.

    2. Out of the total households in the country, a little over 60 percent being to OBCs.

    3. In Kerala, a little over 60 percent of agriculture households reported to have received maximum income from sources other than agriculture activities.

    Which of the statements given above is/are correct?

    Options: (a) 2 and 3 only (b) 2 only (c) 1 and 3 only* (d) 1, 2 and 3

     

  • What is Animal Birth Control (ABC) Program?

    Why in the News?

    The Supreme Court has ordered all States and Union Territories to remove stray dogs from public areas and relocate them to shelters after sterilisation and vaccination under the Animal Birth Control Rules, 2023.

    About Animal Birth Control (ABC) Program:

    • Purpose: Humane, scientifically proven method to control stray dog populations and reduce rabies.
    • Legal Basis: First under Animal Birth Control (Dogs) Rules, 2001 (under the Prevention of Cruelty to Animals Act, 1960); updated as Animal Birth Control Rules, 2023.
    • Development: Created with support from the World Health Organization (WHO).
    • Core Method: “Catch–sterilise–vaccinate–release” model; prohibits relocation or culling.
    • Implementation: Managed by municipalities, municipal corporations, and panchayats.
    • Authorisation: Only organisations recognised by the Animal Welfare Board of India (AWBI) can conduct programs.
    • Animal Birth Control Rules, 2023:
      • Implemented to comply with Supreme Court guidelines in Writ Petition No. 691 of 2009.
      • Assigns responsibility to local bodies (municipalities, corporations, panchayats) to conduct ABC programs for sterilisation and immunisation of stray dogs.
      • Prohibits relocation of stray dogs as a means of population control; instead, they must be sterilised and returned to the same area.
      • Only organisations recognised by the Animal Welfare Board of India (AWBI) can conduct ABC programs.

    Key Features:

    • Sterilisation Target: Minimum 70% of stray dogs in an area within one reproductive cycle (~6 months).
    • Focus: Female sterilisation at a 70:30 female-to-male ratio.
    • Rabies Control: Mandatory rabies vaccination (ABC–ARV) for every sterilised dog.
    • Infrastructure: Kennels, veterinary facilities, vehicles, and hygienic shelters required.
    • Recordkeeping: Detailed records for catching, surgery, vaccination, and release.
    • Monitoring: State and local committees ensure compliance and handle complaints.
    • Legal Protection: Mass relocation or killing prohibited under the Prevention of Cruelty to Animals (PCA) Act, 1960.
    [UPSC 2010] Consider the following statements:

    1. Every individual in the population is equally susceptible host for Swine Flu.

    2. Antibiotics have no role in the primary treatment of Swine Flu

    3.To prevent the future spread of Swine Flu in the epidemic area, the swine (pigs) must all be culled.

    Which of the statements given above is/are correct?

    Options: (a) 1 and 2 only* (b) 2 only  (c) 2 and 3 only (d) 1, 2 and 3