Anglia Ruskin Research Online (ARRO)
Browse
Benton_2022.pdf (374.61 kB)

Using Lifecycle Assessment to evaluate responsible consumption and production (SDG goal 12) in fashion supply chains

Download (374.61 kB)
conference contribution
posted on 2023-08-30, 20:17 authored by Helen M. Benton, Beatriz Acevedo
Fashion supply chains have massive environment impact, producing 2-8% of global carbon emissions (UNEP, 2019), water pollution, waste and using micro-plastics. Fashion growth and the throwaway culture prevails, so how can fashion supply chains respond to the challenges of being responsible in consumption and production (SDG goal 12) by 2030. This paper using lifecycle assessment to examine the challenge for clothing supply chains. Brands were revealed to have made some improvements , e.g. sustainable product lines, reduced packaging and use of sustainable materials. However, a typical garment utilised micro-plastics, was dyed using toxic substances, made by workers treated poorly, over-packaged, generated excessive carbon during transport, laundered with toxic chemicals and releases micro-plastics into the waste water, before disposal. Circular fashion and digital fashion could help stem the tide of environmental destruction, however, it is difficult to envision this enough will be done to achieve responsible consumption and production by 2030.

History

Conference proceeding

BAM 2022 - 36th Annual Conference - Reimagining business and management as a force for good

Name of event

BAM 2022 - 36th Annual Conference - Reimagining business and management as a force for good

Location

Alliance Business School, University of Manchester, Manchester, UK

Event start date

2022-08-31

Event finish date

2022-09-02

File version

  • Accepted version

Language

  • eng

Legacy posted date

2022-10-30

Legacy creation date

2022-10-06

Legacy Faculty/School/Department

Faculty of Business & Law

Usage metrics

    ARU Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC