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Hotspot identification in the clothing industry using social life cycle assessment—opportunities and challenges of input-output modelling

  • SOCIAL LCA IN PROGRESS
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Abstract

Purpose

A cradle-to-gate, input/output-based social life cycle assessment (SLCA) was conducted using the Swedish clothing consumption as a case study. The aim was to investigate the influence of the cut-off rule and the definition of “hotspots” in social hotspot assessment. A second aim was to identify social hotspots of Swedish clothing on a national level.

Methods

The case study was based on the SLCA methodology provided in the Guidelines for Social Life Cycle Assessment of Products (Benoît and Mazijn 2009). An input/output model was used to define the product system from cradle to gate. The negative social hotspots were evaluated for a set of social indicators that were selected by consumers. The impact assessment was conducted on a sector and country level by using the Social Hotspots Database. The identified sectors of the economy with high and very high levels of risk were listed for each social indicator.

Results and discussion

The results pinpointed some hotspots throughout the supply chain for Swedish clothing consumption. Some unexpected sectors such as commerce and business services in Bangladesh were identified as important hotspots as well as main sectors in the production phase such as plant fibres, textiles and garments that would be expected also on the bases of a traditional process analysis. A sensitivity analysis on different cut-off values showed the extent to which the choice of cut-off rule can directly affect the results via influence over the number of country-specific sectors (CSSs) in the product system. The influence of the hotspot definition was investigated by evaluating the working hour intensity for low- and medium-risk levels for three different indicators. The results show that for child labour, 92 % of the share of working hours was associated with low- and medium-risk levels. Therefore, the evaluation of risk levels other than high and very high can provide a more complete picture of the hotspots.

Conclusions

The application of input/output-based SLCA on the clothing production supply chain provided a more complete picture of the social hotspots than with traditional process-based SLCA. Some unexpected sectors related to commerce and business appeared as social hotspots in the clothing industry. The study explored some important parameters in applying an input/output-based SLCA. The results show that the cut-off values and definition of hotspots in relation to risk levels can directly influence the results.

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Notes

  1. Country abbreviations:

    AO: Angola, AR: Argentina, BD: Bangladesh, BR: Brazil, CN: China, DZ: Algeria, GH: Ghana, GQ: Equatorial Guinea, ID: Indonesia, IN: India, IR: Iran, IT: Italy, JP: Japan, KR: South Korea, MX: Mexico, MZ: Mozambique, PK: Pakistan, RU: Russia, TL: East Timor, TR: Turkey, TW: Taiwan, UZ: Uzbekistan

References

  • Aparcana S, Salhofer S (2013) Development of a social impact assessment methodology for recycling systems in low-income countries. Int J Life Cycle Assess 18(5):1106–1115

    Article  Google Scholar 

  • Azadeh-Fard N, Schuh A, Rashedi E, Camelio JA (2015) Risk assessment of occupational injuries using Accident Severity Grade. Safety Sci 76:160–167

    Article  Google Scholar 

  • Baumann H, Arvidsson R, Tong H, Wang Y (2013) Does the production of an airbag injure more people than the airbag saves in traffic?: opting for an empirically based approach to social life cycle assessment. J Ind Ecol 17(4):517–527

    Article  Google Scholar 

  • Benoît C, Mazijn B (eds) (2009) Guidelines for social life cycle assessment of products. http://www.unep.org/publications/search/pub_details_s.asp?ID=4102. Accessed June 2015

  • Benoît-Norris C, Cavan DA, Norris G (2012) Identifying social impacts in product supply chains: overview and application of the social hotspots database. Sustainability 4(12):1946–1965

    Article  Google Scholar 

  • Benoît-Norris C, Norris GA, Aulisio D (2015) Efficient assessment of social hotspots in the supply chains of 100 product categories using the social hotspots database. Sustainability 6(10):6973–6984

    Article  Google Scholar 

  • Baskaran V, Nachiappan S, Rahman S (2011) Supplier assessment based on corporate social responsibility criteria in Indian automotive and textile industry sectors. Int J Sustainable Eng 4:359–369

    Article  Google Scholar 

  • Baskaran V, Nachiappan S, Rahman S (2012) Indian textile suppliers’ sustainability evaluation using the grey approach. Int J Prod Econ 135(2):647–658

    Article  Google Scholar 

  • Clifford S. (2013) Some retailers say more about their clothing’s origins, The New York Times. http://www.nytimes.com/2013/05/09/business/global/fair-trade-movement-extends-to-clothing.html?_r=0

  • De Brito MP, Carbone V, Blanquart CM (2008) Towards a sustainable fashion retail supply chain in Europe: organisation and performance. Int J Prod Econ 114:534–553

    Article  Google Scholar 

  • Dreyer LC, Hauschild MZ, Schierbeck J (2006) A framework for social life cycle impact assessment. Int J Cycle Assess 2(88):88–97

    Article  Google Scholar 

  • Ekener-Petersen E, Finnveden G (2012) Potential hotspots identified by social LCA—part 1: a case study of a laptop computer. Int J Life Cycle Assess 18(1);127–143. doi:10.1007/s11367-012-0442-7

  • Ekener-Petersen E, Finnveden G (2013) Potential hotspots identified by social LCA—part 1: a case study of a laptop computer. Int J Life Cycle Assess 18(1):127–143

    Article  Google Scholar 

  • Ekener-Petersen E, Höglund J, Finnveden G (2014) Screening potential social impacts of fossil fuels and biofuels for vehicles. Energ Policy 73:416–426

    Article  Google Scholar 

  • Foolmaun RK, Ramjeeawon T (2013) Comparative life cycle assessment and social life cycle assessment of used polyethylene terephthalate (PET) bottles in Mauritius. Int J Life Cycle Assess 18(1):155–171

    Article  CAS  Google Scholar 

  • Franze J, Ciroth A (2011) A comparison of cut roses from Ecuador and the Netherlands. Int J Life Cycle Assess 16(4):366–379

    Article  Google Scholar 

  • Gautam P (2011) Social life cycle assessment of solid waste management in Kathmandu City Nepal. In: Proceedings of the Life Cycle Management 2011 Conference, Berlin

  • Heiho A, Hondo H, Moriizumi Y (2015) Social life cycle assessment of biomass projects focusing on employment changes in regions. J Japan Inst Energ 94(2):159–169

    Article  Google Scholar 

  • Hosseinijou SA, Mansour S, Shirazi MA (2014) Social life cycle assessment for material selection: a case study of building materials. Int J Life Cycle Assess 19:620–645

    Article  Google Scholar 

  • Hou D, Al-Tabbaa A, Guthrie P, Hellings J, Gu Q (2014) Using a hybrid LCA method to evaluate the sustainability of sediment remediation at the London Olympic Park. J Clean Prod 83:87–95

    Article  Google Scholar 

  • Jørgensen A, Be-Boqc A, Nazakina L, Hauschild MZ (2008) Methodologies for social life cycle assessment. Int J Life Cycle Assess 13(2):96–103

    Article  Google Scholar 

  • Jørgensen A, Lai LCH, Hauschild MZ (2010) Assessing the validity of impact pathways for child labour and well-being in social life cycle assessment. Int J Life Cycle Assess 15:5–16

    Article  Google Scholar 

  • Kobayashi Y, Peters G, Ashbolt N, Khan S (2015) Assessing burden of disease as disability adjusted life years in life cycle assessment. Sci Total Environ 530–531:120–128

    Article  Google Scholar 

  • Lehmann A, Zschieschang E, Traverso M (2013) Social aspects for sustainability assessment of technologies—challenges for social life cycle assessment (SLCA). Int J Life Cycle Assess 18(8):1581–1592

    Article  Google Scholar 

  • Leontief W (1986) Input–output economics. Oxford University Press, New York, NY, USA

    Google Scholar 

  • Lenzen M (2000) Errors in conventional and input–output-based life-cycle inventories. J Ind Ecol 4(4):127–148

    Article  Google Scholar 

  • Majeau-Bettez G, Strømman AH, Hertwich EG (2011) Evaluation of process- and input–output-based life cycle inventory data with regard to truncation and aggregation issues. Environ Sci Technol 45(23):10170–10177

    Article  CAS  Google Scholar 

  • Mathe S (2014) Integrating participatory approaches into social life cycle assessment: the SLCA participatory approach. Int J Life Cycle Assess 19(8):1506–1514

    Article  Google Scholar 

  • Moran D, McBain D, Kanemoto K, Lenzen M, Geschke A (2014) Global supply chains of coltan. J Ind Ecol 19(3):357–365

    Article  Google Scholar 

  • O’Brien M, Doig A, Clift R (1996) Social and environmental life cycle assessment (SELCA). Int J Life Cycle Assess 1(4):231–237

    Article  Google Scholar 

  • Rowley HV, Lundie S, Peters GM (2009) A hybrid LCA model for comparison with conventional methodologies in Australia. Int J Life Cycle Assess 14(6):508–516

    Article  CAS  Google Scholar 

  • Sandin G, Peters GM, Pilgård A, Svanström M, Westin M (2011) Integrating sustainability consideration into product development: a practical tool for identifying critical social sustainability indicators and experiences from real case application. In: Finkbeiner M (ed) Towards life cycle sustainability management. Springer, Dordrecht, the Netherlands, pp 3–14

    Chapter  Google Scholar 

  • Shen B (2014) Sustainable fashion supply chain: lessons from H&M. Sustainability 6(9):6236–6249

    Article  Google Scholar 

  • Statistics Sweden (2014) Statistics database. Available at: http://www.scb.se/sv_/Hitta-statistik/Statistikdatabasen

  • Weidema BP (2006) The integration of economic and social aspects in life cycle impact assessment. Int J Life Cycle Assess 11:89–96

    Article  Google Scholar 

  • Weller I (2013) Sustainable consumption and production patterns in the clothing sector: is green the new black? In: Gardetti MA, Torres AL (eds) Sustainability in fashion and textiles. Greenleaf Publishing Limited, Sheffield, UK, pp 184–194

    Google Scholar 

  • Zamani B (2014) Towards understanding sustainable textile waste management: environmental impacts and social indicators. Chalmers University of Technology, Gothenburg

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Authors and Affiliations

  1. Division of Chemical Environmental Science, Chalmers University of Technology, Kemivägen 10, 412 96, Göteborg, Sweden

    Bahareh Zamani, Magdalena Svanström & Greg M. Peters

  2. SP Technical Research Institute of Sweden, Brinellgatan 4, Box 857, 501 05, Borås, Sweden

    Gustav Sandin

Authors
  1. Bahareh Zamani
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  2. Gustav Sandin
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  3. Magdalena Svanström
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  4. Greg M. Peters
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Correspondence to Bahareh Zamani.

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Responsible editor: Marzia Traverso

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Zamani, B., Sandin, G., Svanström, M. et al. Hotspot identification in the clothing industry using social life cycle assessment—opportunities and challenges of input-output modelling. Int J Life Cycle Assess 23, 536–546 (2018). https://doi.org/10.1007/s11367-016-1113-x

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  • DOI: https://doi.org/10.1007/s11367-016-1113-x

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