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PIB Summaries 28 November 2025

  1. From Growth Engine to Global Edge: Supercharging India’s Logistics
  2. Tex-RAMPS


What Is Logistics?

  • Movement, storage, and flow of goods from producer to consumer.
  • Includes transport, warehousing, cold chain, inventory mgmt, and information systems.
  • Efficiency of logistics directly affects GDP, export competitiveness, supply chain resilience, and cost of doing business.

Relevance

GS2 – Governance

  • Centre–State coordination under GatiShakti.
  • Institutional reforms: DPIIT, MOSPI, GSTN data integration.
  • Regulatory clarity through HSN mapping.
  • Urban governance for freight mobility under SMILE.

GS3 – Economy / Infrastructure

  • Logistics cost reduction → competitiveness.
  • Multimodal transport, freight corridors.
  • Industrial parks & EoDB improvements.
  • Green corridors, sustainability metrics.
  • Impact on exports, FDI, value chains.

Global benchmarks:

  • Logistics cost for advanced economies: 7–8% of GDP.
  • For India, old estimates: 13–14% (unscientific); new estimate: 7.97% of GDP (2023–24).

Big Picture: Why Logistics Is a Strategic Sector for India

  • Determines India’s competitiveness in global value chains.
  • Critical for Make in India, manufacturing exports, agri-produce movement, and e-commerce.
  • Logistics reforms can increase GDP by 5–7% (World Bank estimates).
  • India targets being a global logistics hub under National Logistics Policy + PM GatiShakti.

Key Data & Findings (PIB 2025)

  • Logistics cost: 7.97% of GDP, 9.09% of non-services output.
  • Total cost: ₹24.01 lakh crore.
  • Study by DPIIT + NCAER using hybrid methodology (3,500+ firms + MOSPI + RBI + GSTN).
  • Smaller firms incur disproportionately higher logistics costs → competitiveness gap.
  • Cost-saving lever: Multimodal integration + last-mile improvements.

Structural Transformation Underway

  • Shift from fragmented ecosystem → integrated, multimodal, digital logistics.
  • Removal of frictions: GST, e-Way Bill, FASTag, digital freight platforms.
  • Dedicated freight corridors, revitalized waterways, modern warehousing clusters.
  • Plug-and-play industrial parks → lower entry barriers, faster setup.

Digital Backbone of India’s Logistics

  • ULIP: integrates 30+ departments; single API interface for logistics data.
  • LDB 2.0: real-time multimodal shipment visibility (road/rail/sea/high seas).
  • HSN Code Mapping: 12,167 codes → 31 ministries → accountability, trade precision.
  • National Master Plan dashboards → evidence-based infrastructure planning.

Multimodal Logistics along the Gangetic Plain (Case Study)

Eastern Dedicated Freight Corridor (EDFC):

  • Turnaround time of wagons: 15–16 days → 2–3 days.
  • Long-haul transit time: 60+ hours → 35–38 hours.
  • Digital command centre at Prayagraj.
  • Cargo shift to rail = lower cost + lower emissions + reduced congestion.
  • Linked to Ganga Waterway at Varanasi → multimodal synergy.

Investments:

  • WB funding: $1.96 bn (EDFC + Rail Logistics) + $375 mn (Ganga Waterway).

Impacts:

  • Efficient movement to Haldia, Kolkata ports.
  • New warehousing clusters → jobs + better inventory management.
  • Lower carbon footprint; enhanced eastern India competitiveness.

National Level Reform Pillars (2025)

A. PM GatiShakti: Integrated Infrastructure Planning

  • District Master Plans in 112 aspirational districts.
  • PM GatiShakti Offshore → geospatial integration for wind farms, marine infra.
  • PM GatiShakti Public: access to 230 datasets for industry + researchers.
  • National Master Plan dashboard + decentralized data uploading → transparency.

B. SMILE: City-Level Logistics Planning

  • Pilot in 8 cities + 8 states, ADB-supported.
  • State level → links hubs to corridors.
  • City level → integrates freight with master plans and mobility policies.
  • Targets: urban decongestion, low/no-emission freight, automated processes.

Outcomes:

  • National model for coordinated urban freight.
  • Cleaner cities, faster movement, lower logistics cost, more jobs.

C. LEADS 2025: Ranking States on Logistics

  • Mix of perception + objective data (32.5% objective share, rising).
  • Tracks 5–7 major corridors.
  • APIs capture truck speeds, delays, bottlenecks.
  • Drives competitive federalism in logistics reforms.

D. LDB 2.0: Real-Time Visibility

  • Syncs with ULIP APIs.
  • Tracks via container number, vehicle number, rail FNR.
  • Live heatmap → identify delay zones.
  • Benefits MSMEs + exporters with predictable supply chains.

E. IPRS 3.0: Rating Industrial Parks

  • Grades: Leader, Challenger, Aspirer.
  • Indicators: connectivity, digital readiness, green infra, skills, tenant satisfaction.
  • 20 plug-and-play NICDC parks: 4 completed, 4 under construction.

F. HSN Guidebook

  • 12,167 codes mapped to 31 ministries.
  • Improves regulatory clarity, sector-specific oversight, negotiation leverage.

Why Logistics Matters More Than Ever ?(Strategic Lens)

  • Accurate cost data → targeted policy → global credibility.
  • Multimodal shift reduces dependence on trucking (currently ~70% freight share).
  • Green logistics aligns with global carbon-neutral supply chain norms.
  • Better logistics → lower inflation (supply-side efficiencies).
  • Direct impact on export competitiveness (cost-to-export).

Strengths of India’s Emerging Logistics Architecture

  • Unified digital stack unmatched globally (ULIP + LDB + e-Waybill).
  • Multimodal infrastructure, especially rail + waterways synergy.
  • Competitive federalism via LEADS + IPRS.
  • Evidence-based planning under PM GatiShakti.
  • Urban freight mainstreamed through SMILE.

Challenges That Still Need Addressing

  • High variability of logistics efficiency across states.
  • MSMEs disproportionately affected by high logistics costs.
  • Skill gaps in supply-chain management, digital freight ops, cold chain.
  • First-mile (farm/industry clusters) and last-mile (urban) still weak.
  • Need for green truck fleets, EV freight, and clean inland container movement.
  • Limited multimodal transport adoption by small firms.


What Is Tex-RAMPS?

  • Full form: Textiles-Focused Research, Assessment, Monitoring, Planning & Start-up Scheme.
  • Central Sector Scheme — fully funded by Ministry of Textiles.
  • Outlay: ₹305 crore (FY 2025-26 to FY 2030-31).
  • Aligned with next Finance Commission cycle — ensures continuity of funding and planning.
  • Designed to future-proof Indias Textiles & Apparel (T&A) sector.

Relevance  

GS3 – Economy / Manufacturing / Infrastructure

  • Strengthens competitiveness of a major industrial sector contributing ~12% of manufacturing GVA.
  • Drives industrial upgrading: smart textiles, technical textiles, circularity, digital manufacturing.
  • Enhances export competitiveness through higher quality, sustainability, and innovation capacity.
  • Boosts MSME productivity via data systems, diagnostics, and state-level capacity building.
  • Supports Atmanirbhar Bharat, Make in India 2.0, and integration into global value chains.
  • Enables evidence-based economic policymaking through ITSS, supply chain mapping, employment datasets.
  • Complementary to PLI, PM MITRA, National Technical Textiles Mission → builds a 360° ecosystem.

Why Was Tex-RAMPS Needed? (Structural Gaps + Global Context)

  • India’s textile sector contributes ~2.3% of GDP, ~12% of manufacturing GVA, and is a top forex earner.
  • Sector suffers from:
    • Low R&D spending (<1% of sectoral output).
    • Fragmented data systems → weak policymaking, inaccurate employment estimates.
    • Limited innovation in high-value segments: smart textiles, technical textiles, sustainable fibres.
    • Weak academia–industry collaboration.
    • Low start-up penetration in textile tech (compared to China, EU, Vietnam).
  • Global shift toward sustainable, traceable, circular textiles → India must upgrade to remain competitive.
  • Tex-RAMPS responds to these by building a research–data–innovation tripod.

Key Components (PIB + Policy Significance)

A. Research & Innovation

  • Funds advanced research in:
    • Smart textiles, wearable tech.
    • Sustainability & circularity.
    • High-performance fibres (geo-textiles, agro-textiles, medical textiles).
    • Process efficiency (zero-discharge dyeing, digital printing).
  • Aim: Move India up the value chain from low-cost producer → technology-intensive leader.

B. Data, Analytics & Diagnostics

  • Creates robust national datasets:
    • Employment census, supply chain mapping, cluster diagnostics.
    • India-Size study → industry standard body-size database (benefits apparel fit, exports).
  • Supports evidence-based policymaking, correcting long-standing data deficits.

C. Integrated Textiles Statistical System (ITSS)

  • Real-time data + analytics platform for:
    • Monitoring prices, production, logistics.
    • Tracking global trends and domestic supply-demand gaps.
  • Enables predictive modelling, risk alerts, and better export planning.

D. Capacity Development & Knowledge Ecosystem

  • Strengthens State-level planning, cluster management, and skill systems.
  • Creates a pipeline of:
    • Best practices, planning templates, case studies.
    • Workshops, summits, policy dialogues.
  • Helps align state textile missions with national goals.

E. Start-up & Innovation Support

  • Grants for:
    • Incubators, accelerators, hackathons.
    • Academia–industry R&D projects.
    • High-value tech start-ups (AI in fashion, traceability tech, recycling).
  • Builds an innovation pipeline akin to PM MITRA parks.

Expected Outcomes

  • Global competitiveness:
    • Boost in productivity, quality, sustainability → improved export share.
  • R&D ecosystem strengthening:
    • More patents, prototypes, industry-academia projects.
  • Data-driven policymaking:
    • Reduced information asymmetry; better cluster-level interventions.
  • Employment creation:
    • Especially in high-value, innovation-driven segments.
  • Stronger federal collaboration:
    • Centre–state alignment; national standardization of metrics.

How Tex-RAMPS Fits Into India’s Larger Textile Strategy ?

  • Complements existing flagship interventions:
    • PM MITRA Parks (infrastructure).
    • PLI for Textiles (production & scale).
    • National Technical Textiles Mission (high-value segments).
    • SAMARTH (skill development).
  • Tex-RAMPS fills the missing pillar: R&D + Data + Innovation.
  • Together, they build a 360-degree textile modernisation ecosystem.

Economy & Manufacturing

  • Moves India toward higher-value exports (technical textiles), reducing reliance on commodity apparel.
  • Supports India’s goals under:
    • Sustainable fashion, circular economy,
    • Net-zero pathways,
    • Global supply chain integration.
  • Strengthens India’s pitch in trade negotiations through better data, standards, traceability.
  • Aligns with Atmanirbhar Bharat and Make in India 2.0.

Comparison with Global Best Practices

  • EU: Circularity mandates + green tech standards
  • China: State-funded textile R&D institutes + digital manufacturing
  • US: Industry–university fibre innovation hubs
  • Tex-RAMPS brings India closer to these models by:
    • Funding R&D,
    • Creating integrated data systems,
    • Linking research to markets.

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