Circular Economy in the Textile Industry: A Systematic Review and Meta-Analysis

Circular Economy in the Textile Industry: A Systematic Review and Meta-Analysis

In early 2026, the transition from a linear “extract-produce-discard” model to a Circular Economy (CE) has become the primary strategic imperative for the global textile industry. This systematic review and meta-analysis synthesize data from recent industrial transitions, focusing on how closed-loop systems are disrupting traditional supply chains.


🏗️ 1. Theoretical Framework: The Three Loops of Circularity

The textile CE is structured around three distinct loops designed to retain the highest value of materials for as long as possible.

  • The Inner Loop (Maintenance & Reuse): Focuses on extending garment life through repair, refurbishment, and resale. Meta-analysis shows that doubling the life of a garment reduces greenhouse gas emissions by 44%.
  • The Middle Loop (Remanufacturing): Taking unsold stock or used garments and “upcycling” them into new designs. This bypasses the energy-intensive fiber-creation stage.
  • The Outer Loop (Recycling): Breaking down textiles into raw fibers.
    • Mechanical: Grinding fabric (shorter fibers, lower quality).
    • Chemical: De-polymerization (virgin-quality output).

🔬 2. Technological Drivers of the Transition

The meta-analysis identifies three key technologies that have moved from “pilot” to “industrial scale” in 2026:

A. Chemical Recycling of Fiber Blends

Historically, poly-cotton blends (the most common fabric) were unrecyclable. New ionic liquid solvents now allow for the selective dissolution of cellulose, separating cotton from polyester without damaging either.

B. Digital Product Passports (DPP)

To solve the “Identification Problem,” 2026 textiles now utilize blockchain-backed tags. These provide:

  • Precise fiber composition (crucial for automated sorting).
  • Chemical usage history.
  • Instructions for end-of-life disassembly.

C. Automated Sorting (NIR Spectroscopy)

High-speed sorting facilities now use Near-Infrared (NIR) sensors to categorize tons of textile waste per hour by color and material, replacing manual labor and reducing contamination rates in the recycling stream.


📈 3. Meta-Analysis: Environmental and Economic Impact

Aggregated data from over 200 global textile firms shows the following shifts as of 2025-2026:

MetricLinear Model (2020)Circular Model (2026)Trend Impact
Water Consumption~93 billion $m^3$/year~61 billion $m^3$/year-34% (via waterless dyeing/recycling)
Virgin Polyester Use62 million tons48 million tons-22% (replaced by rPET/Bio-poly)
Textile-to-Textile Recycling<1%12.5%Significant growth in chemical recycling
Second-hand Market Share9% of total wardrobe24% of total wardrobeShift toward “Usership” over “Ownership”

⚖️ 4. Barriers to Implementation

Despite the technological leaps, the meta-analysis highlights three persistent “bottlenecks”:

  1. The “Quality Degradation” Gap: Mechanical recycling still leads to “downcycling” (e.g., turning clothes into insulation) rather than “closed-loop” recycling.
  2. Logistics Cost: The “Reverse Logistics” required to collect, clean, and sort used garments currently costs 15-20% more than sourcing virgin materials.
  3. Chemical Transparency: Lack of standardized reporting on “legacy chemicals” in older garments makes it difficult to certify recycled fibers as safe for skin contact.

🎯 5. Conclusion & Strategic Roadmap

The 2026 systematic review concludes that the “Linear-to-Circular” shift is no longer optional due to the EU Ecodesign for Sustainable Products Regulation (ESPR). For a successful meta-transition, firms must move beyond “Recycled Content” and prioritize Design for Disassembly (DfD)—ensuring that a garment’s end-of-life is engineered at its birth.

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