Social Reporting Using GRI Disclosures: A Case of Apparel Industry

Yadlapalli, A and Rahman, S 2017, 'Social Reporting Using GRI Disclosures: A Case of Apparel Industry' in Muthu S.S. (ed.) Textiles and Clothing Sustainability, Springer, Singapore, pp. 89-107.


Document type: Book Chapter
Collection: Book Chapters

Title Social Reporting Using GRI Disclosures: A Case of Apparel Industry
Author(s) Yadlapalli, A
Rahman, S
Year 2017
Title of book Textiles and Clothing Sustainability
Publisher Springer
Place of publication Singapore
Editor(s) Muthu S.S.
Start page 89
End page 107
Subjects Logistics and Supply Chain Management
Summary The Mistra Future Fashion research programme (2011-2019) is a large Swedish investment aimed at reducing the environmental impact of clothing consumption. Midway into the programme, research results and insights were reviewed with the intent to see what picture appears from this interdisciplinary consortium, developed to address the multiple sustainability challenges in clothing consumption and the tools for intervention. Such tools comprise product design, consumer behaviour changes, policy development, business models, technical development, recycling, life cycle assessment (LCA) and social life cycle assessment (SLCA). This chapter quantifies the extent of the sustainability challenge for the apparel sector, via an analysis of five garment archetypes. It also considers to what extent different interventions for impact reduction can contribute in society's endeavour towards sustainability, in terms of staying within an "environmentally safe and socially just operating space", inspired by the planetary boundaries approach. In particular, the results show whether commonly proposed interventions are sufficient or not in relation to the impact reduction necessary according to the planetary boundaries. Also, the results clarify which sustainability aspects that the clothing industry are likely to manage sufficiently if the proposed interventions are realised and which sustainability aspects that will require more radical interventions in order to reach the targets.
Copyright notice © Springer Science+Business Media Singapore 2017
DOI - identifier 10.1007/978-981-10-2182-4_4
ISBN 9789811021824
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