27 January 2026

• India and the European Union concluded official-level negotiations on the India–EU Free Trade Agreement (FTA).
• Negotiations were originally launched in 2007, stalled multiple times, frozen during 2014– 2022, and relaunched with a pragmatic approach.
• FTA announcement coincided with the India– EU Summit and EU leadership’s participation in India’s 77th Republic Day celebrations.

Key Facts

• Final steps include legal scrubbing, translation into EU languages, and ratification by the European Parliament and all 27 EU member states.
• The FTA is among the largest bilateral trade agreements globally by economic size.
• Parallel agreements expected in defence & security, maritime cooperation, energy transition, and mobility.
• EU leaders publicly stated that a “successful India” contributes to global stability and security.
• India–EU partnership framed as part of shaping a new global order.

Static Linkages

• FTAs aim at trade liberalisation through tariff reduction and regulatory cooperation (WTO- compatible).
• Trade creation vs trade diversion effects relevant for assessing FTA outcomes.
• Strategic autonomy: India’s multi-alignment and EU’s “open strategic autonomy”.
• Indo-Pacific framework: maritime security, freedom of navigation, UNCLOS principles.
• Sanctions regimes: EU sanctions on Russia affecting defence cooperation dynamics.

Significance

• Enhances market access for Indian goods and services, especially in manufacturing and services.
• Supports supply-chain diversification (China+1) for EU economies.
• Strengthens India’s role in global value chains.
• Anchors economic engagement to a broader strategic and security partnership.

Challenges / Concerns

• Sensitive sectors such as agriculture and dairy largely excluded.
• Stringent EU norms on environment, labour, carbon standards may increase compliance costs.
• Investment protection and regulatory sovereignty remain contentious.
• Ratification risks due to EU domestic political processes.

Way Forward

• Gradual expansion of FTA scope through review and upgrade clauses.
• Capacity building for Indian exporters to meet EU regulatory standards.
• Align trade cooperation with energy transition and digital trade frameworks.
• Use FTA as a base for deeper technology, defence, and maritime collaboration.

CANADA PM DENIES CHINA FTA PLAN

KEY HIGHLIGHTS

• Mark Carney ruled out any FTA with China.
• Statement followed Donald Trump’s threat of 100% tariff on Canadian imports.
• Clarification that Canada’s China engagement was sector-specific tariff correction, not an FTA.
• Obligations cited under United States–Mexico– Canada Agreement regarding non-market economies.

Key Points

• Canada had imposed 100% tariff on Chinese EVs; 25% on steel & aluminium.
• China retaliated with 100% tariffs on canola oil & meal; 25% on pork & seafood.
• Canada partially reduced EV tariffs after talks to secure agricultural tariff relief.
• US warned against Canada becoming a trans- shipment route for Chinese goods.
• Canadian auto sector heavily dependent on US market access.

Static Linkages

• Non-Market Economy: State control over prices/production; special trade remedies allowed.
• Trade Diversion: Preferential trade can shift imports from efficient to inefficient sources.
• Rules of Origin: Prevent tariff circumvention in FTAs.
• Strategic Protectionism: Tariffs used as geopolitical tools.
• Primary Sector Vulnerability: Agriculture most exposed to retaliatory tariffs.

Critical Analysis

• Advantages
  • Safeguards US market access for Canada.  
  • Limits tariff circumvention risks.
  • Protects domestic manufacturing.
• Disadvantages
  • Constrains trade policy autonomy.  
  • Agriculture exposed to retaliation.  
  • Weakens multilateral trade norms.
• Challenges
  • Asymmetric dependence in FTAs.
  • Managing geopolitics–economics trade-off.

Way Forward

• Tighten rules of origin enforcement.  
• Diversify export destinations.
• Strengthen domestic manufacturing capacity.
• Use sectoral engagement instead of comprehensive FTAs.
• Provide export risk mitigation for farmers.

CASTE COUNT METHOD UNDECIDED

• Methodology for caste enumeration in Census 2027 not finalised yet; preparatory exercise for PE phase likely by July.
• Debate over absence of explicit OBC/general caste column in HLO questionnaire (Phase-1).
• Government clarified caste enumeration will be part of Phase-2 (Population Enumeration).
• First Census after Independence to enumerate castes beyond SC/ST.
• Caste count to be conducted within Census framework, unlike Socio-Economic Caste Census 2011.

Key Points

• Census conducted in two phases:
  • Houselisting & Housing Census (HLO): April–September 2026
  • Population Enumeration (PE): February 2027 (earlier in snow-bound states)
• Caste details collected only in PE phase, not HLO.
• Digital Census: data collection via smartphones, mobile apps; self-enumeration portal proposed.
• Question 12 of HLO asks only SC/ST/Others (same as 2011 HLO format).
• Final caste questionnaire expected in September 2026.
• SC/ST lists centrally notified; OBC lists maintained by Centre and States.
• Central lists: ~2,650 OBCs, ~1,170 SCs, ~890 STs.
• Decision pending on whether “Other” category will merge Central & State OBC lists.

Static Linkages

• Census conducted under Census Act, 1948.
• Article 15(4), 15(5), 16(4): constitutional basis for affirmative action.
• Article 340: provision for identifying backward classes.
• Delimitation, reservation, and welfare policy rely on Census data.
• 1931 Census: last full caste enumeration (4,147 castes recorded).

Critical Analysis

• Pros:
  • Statutory backing improves credibility and usability of data.
  • Enables evidence-based policy for reservations and welfare schemes.
  • Corrects outdated caste population estimates.
• Cons/Challenges:
  • Risk of data inflation due to self- identification.
  • Administrative complexity due to multiplicity of caste names.
  • Potential politicisation of caste data.
  • Harmonisation of Central and State OBC lists unresolved.

Way Forward

• Finalise uniform, transparent caste classification methodology.
• Extensive pre-testing and standardisation of caste nomenclature.
• Consultation with States, political parties, and experts.
• Robust data anonymisation and privacy safeguards.
• Clear policy roadmap on use of caste data post-enumeration.

• VB–G RAM G Act proposed as a replacement for MGNREGA, 2005.
• Government claims expansion of employment guarantee and improved fiscal discipline.
• Critics argue dilution of rights-based employment guarantee and centralisation of control.

Key Provisions / Changes

• Increases maximum entitlement to 125 days per household per year.
• Employment guarantee applicable only in rural areas notified by Central government.
• Replaces demand-driven funding with normative (pre-determined) allocations.
• Strong statutory push for digital technology- based implementation.
• Wage payment timelines and social audit provisions largely borrowed from MGNREGA.

Core Issues Identified

• Conditional notification undermines the legal guarantee of employment.
• Enhanced entitlement could have been achieved under existing MGNREGA framework.
• Normative funding likely to operate as de facto expenditure ceiling.
• Weak empirical basis for claim that MGNREGA disproportionately benefits richer States.
• Poor States constrained by lower administrative and fiscal capacity.
• Excessive digital reliance risks exclusion errors and informal corruption.

Static Linkages

• Rights-based welfare vs scheme-based welfare approach.
• Fiscal federalism and Centre–State relations.
• Employment generation as a counter- cyclical social protection tool.
• Governance capacity as determinant of welfare outcomes.

Critical Analysis

• Arguments in Favour
  • Predictable fiscal outlay through normative funding.
  • Higher nominal employment entitlement.
  • Administrative uniformity and central monitoring.
• Arguments Against
  • Employment guarantee incompatible with capped funding.
  • Centralised notification weakens State autonomy.
  • No evidence that budget caps improve inter-State equity.
  • Digital rigidity may worsen worker participation and trust.
  • Rebranding risks prioritising political credit over workers’ rights.

Way Forward

• Retain demand-driven funding as non- negotiable principle.
• Remove discretionary notification clauses.
• Raise wage rates in poorer States to improve uptake.
• Strengthen implementation capacity rather than impose caps.
• Use technology as facilitative, with robust grievance redressal.
• Preserve rights-based legal architecture of employment guarantee.

INDIA’S CLIMATE GAP IS LANGAUGE

Context of the News

• ‘Loss and Damage’ has gained prominence in global climate negotiations post COP27– COP28.
• It addresses climate impacts beyond adaptation capacity, especially for developing countries.
• In India, the concept is largely interpreted through the lens of disaster relief and compensation, creating a governance gap.

Key Points

• Loss and Damage includes:
  • Economic losses: crops, housing, infrastructure, livelihoods.
  • Non-economic losses: biodiversity, culture, identity, traditional knowledge.
•  International framing covers:
  • Sudden-onset events (cyclones, floods).  
  • Slow-onset processes (sea-level rise, desertification, glacial retreat).
• Indian administrative understanding:
  • Loss = damage assessment (nuksaan aaklan).
  • Damage = compensation (haani purti).
  • Crisis handled under disaster management norms.
• Result:
  • Climate loss reduced to post-event relief.
  • Irreversible and non-quantifiable losses ignored.

Static Linkages

• Disaster Management Act, 2005 focuses on response, relief, and rehabilitation, not irreversible loss.
• IPCC recognises limits to adaptation and residual climate risk.
• Sendai Framework emphasises risk communication and preparedness.
• Economic Survey highlights climate impacts on health, labour productivity, and agriculture.
• Second ARC stresses citizen-centric communication in governance.

Critical Analysis

• Issues
  • Conceptual dilution of Loss and Damage at implementation level.
  • Over-reliance on technical jargon and indices.
  • Weak translation of climate science into administrative decisions.
  • Exclusion of livelihood realities and social vulnerabilities.
  • Limited institutional capacity for climate risk communication.
• Implications
  • Narrow policy responses.
  • Underestimation of long-term climate risks.
  • Ineffective utilisation of climate finance.
  • Low community trust in advisories and warnings.

Way Forward

• Create a distinct national framework for Loss and Damage.
• Integrate non-economic losses into climate assessments.
• Institutionalise climate communication within district administration.
• Localise climate information by language, occupation, and region.
• Co-produce advisories with frontline workers and local institutions.
• Strengthen media partnerships for trusted risk messaging.