Rebound Effects of Digital Textile Microfactories in Fashion, a System Dynamics Study of CO <sub>2</sub> Emissions

ABSTRACT The fashion industry's high resource use and globalised supply chains generate environmental degradation through overproduction, waste and pollution. Digital Textile Microfactories (DTMFs) are promoted as a more sustainable alternative because they enable fast, digitalised and often localised production, but lower costs and a greener image may also trigger rebound effects. We develop a stylised system dynamics model of a T‐shirt market in a fictional city to analyse how DTMF diffusion may affect market behaviour and CO 2 ‐eq emissions over time. The model represents feedbacks between production capacity, prices, sustainability perception, overconsumption and emissions and is used to simulate a baseline diffusion scenario and policy variants with price competition and an introductory subsidy. The results show that a technology shift towards DTMFs alone is insufficient to reduce emissions, because increased demand and overconsumption can outweigh per unit efficiency gains, which underscores the need for complementary demand side measures.

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Publication Details

Journal
Systems Research and Behavioral Science
Published
2026-02-25
DOI
https://doi.org/10.1002/sres.70030
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
0.00
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article

Rebound Effects of Digital Textile Microfactories in Fashion, a System Dynamics Study of CO 2 Emissions

Meike Tilebein, Luís Carlos Stutz, Juan Esteban Martinez‐Jaramillo
Systems Research and Behavioral Science
Innovation Diffusion and Forecasting
article

Rebound Effects of Digital Textile Microfactories in Fashion, a System Dynamics Study of CO 2 Emissions

Meike Tilebein, Luís Carlos Stutz, Juan Esteban Martinez‐Jaramillo
article en

Abstract

ABSTRACT The fashion industry's high resource use and globalised supply chains generate environmental degradation through overproduction, waste and pollution. Digital Textile Microfactories (DTMFs) are promoted as a more sustainable alternative because they enable fast, digitalised and often localised production, but lower costs and a greener image may also trigger rebound effects. We develop a stylised system dynamics model of a T‐shirt market in a fictional city to analyse how DTMF diffusion may affect market behaviour and CO 2 ‐eq emissions over time. The model represents feedbacks between production capacity, prices, sustainability perception, overconsumption and emissions and is used to simulate a baseline diffusion scenario and policy variants with price competition and an introductory subsidy. The results show that a technology shift towards DTMFs alone is insufficient to reduce emissions, because increased demand and overconsumption can outweigh per unit efficiency gains, which underscores the need for complementary demand side measures.

Systems Research and Behavioral Science
University of Stuttgart (DE)
Openalex Percentile: Top 36%
Innovation Diffusion and Forecasting
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