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Sustainable Fashion: Intersectional Life Cycle Assessment

The Challenge

The fashion industry is one of the most environmentally impactful industrial sectors in the world. This is particularly true for the fast fashion industry, which relies on cheap manufacturing, impulsive consumer buying, and poor-quality garments. Environmental flash points in textile and fashion value chain include significant water use, chemical pollution, greenhouse gas emissions, and textile waste. Social flash points include exploitative labor practices and excessive waste increasingly shipped to landfills in rural low- and middle-income countries. This case study develops a new methodology—Intersectional Life Cycle Assessment (I-LCA)—to highlight amplifying feedback loops joining Environmental Life Cycle Assessment (E-LCA) and Social Life Cycle assessment (S-LCA). Our goal is to identify innovations for the study of the fashion industry as well as the fashion industry itself.

Method: Intersectional Approaches

Intersectionality contributes to life cycle assessment in two ways: 1) I-LCA analyses how environmental and social life cycles intersect for a more global understanding of product impacts—on both the physical environment and human society; and 2) I-LCA refines S-LCA by considering intersectional factors related to sex, gender, race, ethnicity, culture, geographical location, socioeconomic status, etc. of major stakeholders, such as workers, local communities, value chain actors, and society at large.

Gendered Innovations:

    1. Intersectional Life Cycle Assessment
    E- and S-LCA are often done separately. I-LCA closes the loop to show the anthropogenic impacts on non-human organisms and the environment—and the amplifying impacts of these on humans. I-LCA connects E- and S-LCA to depict cause-effect pathways that connect fast fashion supply chains with food supply chains.

    2. Refining S-LCA
    Intersectionality refines S-LCA by drilling down into major stakeholders— workers, local communities, value chain actors, and society—to consider intersectional factors related to age, gender, geographical location, race/ethnicity, sex, socioeconomic status, etc. I-LCA is a transformative tool that explicitly analyzes intersectional factors shaping the fashion industry relevant to both policymakers and industry.

    3. Policies Supporting Sustainable Fashion
    Both industry and governments have a role to play in supporting the transition to sustainable fashion. Industries, particularly investment companies, can analyze environmental, social, and governance (ESG) factors to measure sustainability and ethical impacts before investing in a specific company—and rebalance their portfolio towards companies with high ESG scores.

    4. Slowing Fashion Consumption The current fashion consumption in the Global North includes overconsumption, impulse purchasing, short use time of garments, and increased textile waste. The goal is to develop alternative fashion practices that slow consumption.

Go to Full Case Study
The Challenge
Intersectional Innovation 1: Intersectional Life Cycle Assessment
Intersectional Innovation 2: Refining S-LCA
Intersectional Innovation 3: Policies Supporting Sustainable Fashion
Intersectional Innovation 4: Slowing Fashion Consumption
Next Steps
 
 

The Challenge

The fashion industry is one of the most environmentally impactful industrial sectors in the world. This is particularly true for the fast fashion industry, which relies on cheap manufacturing, impulsive consumer buying, and poor-quality garments. Environmental flash points in textile and fashion value chain include significant water use, chemical pollution, greenhouse gas emissions, and textile waste (Niinimaki et al., 2020; Shirvanimoghaddam et al., 2020). Social flash points include exploitative labor practices and excessive waste increasingly shipped to landfills in rural low- and middle-income countries (Ferrante et a., 2009; Herrera Almanza & Corona, 2020, EURATEX, 2020). This case study develops new a methodology—Intersectional Life Cycle Assessment (I-LCA)—to highlight amplifying feedback loops joining Environmental Life Cycle Assessment (E-LCA) and Social Life Cycle assessment (S-LCA). Our goal is to identify innovations for the study of the fashion industry as well as the fashion industry itself.

life cycle sustainability Assessment
Environmental and social impacts of the fashion industry are exacerbated by the rise of cheaply produced fast fashion. While many of the emblematic fast fashion brands were founded in the mid-twentieth century (H&M debuted in Sweden in 1947 and Zara in Spain in 1975), fast fashion as a phenomenon did not emerge until the 1990s. In this period, fashion retailers restructured the supply chain to allow for high “speed to market” times, enabling hyper-trendy products and impulse buys. Representatives of Zara, for instance, famously announced their mission to bring clothing from idea to stores in 15 days (Schiro, 1989). Now, Zara, and H&M, alongside other fast fashion retailers like UNIQLO, Gap, and Topshop, have been joined by ultra-fast fashion retailers with no brick-and-mortar stores. These ultra-fast fashion companies, like China-based Shein, are operated wholly online and leverage social media platforms like TikTok to catalyze instantaneous impulse purchases. These trends have more than tripled the global production of clothing in the past two decades (Chang, 2020).

Intersectional Innovation 1: Intersectional Life Cycle Assessment

E- and S-LCA are often done separately. S-LCA, by virtue of its focus on society, rarely examines impacts on living organisms or broader environmental impacts at the ecosystem level. At the same time E-LCA rarely considers the impact of environmental disruptions on a societal level. I-LCA offers methodological insights interweaving E-LCA and S-LCA. I-LCA closes the loop to show the anthropogenic impacts on the environment—and the impacts of the environment on humans.

intersectional feedback loops
Intersectional feedback loops joining E-LCA and S-LCA, illustrated through the example of fast fashion. Intersectional Life Cycle Assessment (I-LCA) analyses how environmental and social life cycles intersect for a more global understanding of product impacts—on both the physical environment and human society.

I-LCA connects E- and S-LCA to depict cause-effects pathways that connect fast fashion supply chains with food supply chains, as illustrated in the figure above. Here we break the process down into six steps:

    1) Consumer behavior: The fast fashion industry is fuelled by impulsive consumer buying, cheap manufacturing, and poor-quality garments. This demand differs by ethnicity, gender, geographic location, and socioeconomic status (see Intersectional Innovation 2 below).

    2) Pollutants discharged: The fast fashion supply chain produces plastic fibers that are released when polyester and other polymer-based textiles are laundered; these fibers comprise between 20% and 35% of the microplastics discharged into the ocean. These textiles also contain added chemicals, including pesticide residue and additives used to make clothing stain-resistant (Editorial Board, 2022).

    3) Sex-specific effects in living organisms: Microplastics and chemicals can impact marine ecosystems. For instance, BPA is a phenolic endocrine disruptor found in some articles of clothing. BPA in the ocean can deeply impact marine animals. For instance, BPA disrupts reproduction, metabolism, and development in clams (Rangia cuneate, for example, where the larger females experience greater exposure, Graca et al., 2021). Similarly, polyethylene microplastics cause greater oxidative damage to female Mediterranean mussels (Mytilus galloprovincialis) than to males (Abidli et al., 2021).

    4) Impacts disrupt marine populations and ecosystems: These disruptions can cause infertility or sex change that affect demographic pattern and, potentially, lead to population collapse (Duft et al., 2007; Riva et al., 2010). These effects impact population ecology—and, ultimately, the entire food web, where bivalves are ecologically important and socio-economically value as seafood cultivated and consumed worldwide (Beyer et al., 2017).

    5) Food stock disruptions: Microplastic and nanoplastic particles containing multiple manufactured chemicals also enter the tissues of marine organisms, including seafoods consumed by humans (Landrigan et al., 2020; Santillo et al., 2017; Mercogliano et al., 2020).

    6) Food insecurity and sex-specific human health effects from contaminated food: I-LCA links fast fashion to disruption of marine organism life and links this back to impacts on humans in the form of food insecurity and sex-specific health effects. A recent study based on assessment of commonly consumed food items estimates that an average person consumes between 74,000 and 121,000 microplastic particles per year. Importantly, particle consumption varies by age, sex, dietary patterns, educational background, and geographic location, meaning that microplastic and chemicals can differently affect men, women, and children (Cox et al., 2019; Kim et al., 2020; Gunawan et al. 2021). Microplastic levels and compositions in human feces, for example, were significantly higher in Hong Kong than in other towns in East Asia and Europe (one factor being the widespread use of polystyrene takeaway containers in Hong Kong—Ho et al., 2022). As top consumers of ocean-based food webs, humans likely accumulate contaminants, which may have impacts on reproductive health and other bodily processes (Galloway, 2015). The effects can be sex-specific (Landrigan et al., 2020), as in the case of the different risk of future coronary artery disease from exposure to BPA for men and women (Melzer et al., 2012).


I-LCA helps us better understand how we might achieve multiple sustainable development goals (SDG), such as 3 “Good health and well-being”, 5 “Gender equality”, 9 “Industry, innovation and infrastructure”, 12 “Responsible consumption and production”, and 14 “Life below water.”

Intersectional Innovation 2: Refining S-LCA

Intersectionality refines S-LCA by drilling down into major stakeholders—workers, consumers, and local communities—to consider intersectional factors related to age, gender, geographical location, race/ethnicity, sex, socioeconomic status, etc. I-LCA is a transformative tool that explicitly analyzes intersectional factors shaping the fashion industry relevant to both policymakers and industry.

Example 1. I-LCA goes beyond analyzing impacts of fast fashion on societies to examine causes, in this case, how consumer behavior—differentially driven by social norms, including educational background, gender, race/ethnicity, socioeconomic status, etc.—fuel fast fashion. Gender norms, in particular, pressure women—young and old—to focus on appearance, fashion, and beauty, and thus to overconsume (McNeill & Moore, 2015). In Western cultures, dress, especially for women, is a way to express wealth, social standing, and individual identity. As men adopted a uniform of subdued business dress in the nineteenth century, urban bourgeoise women used dress to signal social status: the finer the better (Davis, 1992; Gieske, 2000). These sociocultural gender norms continue to motivate women’s greater attention to fashion. Zara, for example, report their product line by women's (60%), men's (25%) and the fast-growing children's (15%) departments (Harbott, 2011). As gender norms become less binary, men are catching up in fashion demands. In addition, the white-shirt industry itself is an environmental burden (Herrera Almanza & Corona, 2020). Using I-SLCA allows for better understandings of the social dynamics of consumer demand and may also lead to solutions. Social norms, when coupled with action from the textile industry to support a circular economy, can change to support sustainable fashion (Editorial, 2022).

S-LCA
Adapted from Fontes, J., Gaasbeek, A., Goedkoop, M.J. (2016). Handbook for Product Social Impact Assessment 3.0.
Roundtable for Product Social Metrics, Table 12. Social topics per stakeholder group.

Method: Intersectional Approaches

Intersectionality contributes to life cycle assessment in two ways: 1) I-LCA analyzes how environmental and social life cycles intersect for a more global understanding of product impacts—in terms of both the physical environment and human society; and 2) I-LCA refines S-LCA by considering intersectional factors related to sex, gender, race, ethnicity, culture, geographical location, socioeconomic status, etc. of major stakeholders, such as workers, local communities, value chain actors, and society at large.

Example 2. Textile recycling is growing as part of the circular economy aimed at offsetting the environmental burden of fast fashion. Recycling requires reskilling of workers away from production toward reuse. A S-LCA of recycling reveals differential impacts, for instance, for workers across geographies. As economies in the Global North become more circular, workers there are increasingly reskilled in reuse, repair, and recycling (EURATEX, 2020). At the same time, workers the Global South, whose jobs depend on raw material production and manufacture, may experience job losses (Repp et al., 2021).

An I-LCA drills down to help create greater global equity in new circular economies. Here, gender analysis is particularly important since women constitute a majority of textile workers. Gendered cultural norms mean that work is valued differently in terms of who performs it. In Spain, for example, men and women tailors have similar skillsets and knowledge, but men are paid more as “tailors” or master craftsmen, while women are paid less as “dressmakers.” In India, repair and resale of clothing tends to employ men as drycleaners and tailors at fixed rates of pay, while women are more often employed as informal workers paid per assignment. Informal workers in India tend not to be covered by national insurance. In both Spain and India, women in these jobs tend to come from marginalized caste, ethnic, and/or religious backgrounds (Suarez-Visbal et al., 2022). Reskilling programs must support good working conditions and wages globally.

Intersectional Innovation 3: Policies Supporting Sustainable Fashion

Both industry and governments have a role to play in supporting the transition to sustainable fashion. Industries, in particular investment companies, can analyze environmental, social, and governance (ESG) factors to measure sustainability and ethical impacts before investing in a particular company—and rebalance their portfolio towards companies with high ESG scores. Industry regulation is currently hampered by poor data collection and competing rating methods (Sipiczki, 2022).

Governments can pass legislation to ensure global equity in transitions to sustainability. The European Commission has launched the European Green Deal to make sustainable products the norm across the European Union, boost circular business models, and prepare consumers for the green transition (European Commission, 2022a). One example of a green innovation in the textile realm shows that the use of “waste wool” collected from sheep raised for meat in Sweden has both positive environmental impacts (limiting additional greenhouse gas emissions from raising and transporting additional sheep) and social impacts (avoiding imported wool produced by child or forced labor, for instance—Martin & Herlaar, 2021). The European Union will introduce a Digital Product Passport that provides clear, structured, and accessible information on the sustainability of products including textiles.

Intersectional Innovation 4: Slowing Fashion Consumption

The current fashion consumption in the Global North includes overconsumption, impulse purchasing, short use time of garments, and increased textile waste (Niinimäki et al., 2020). The goal is to develop alternative fashion practices that slow down consumption. These may include:

  • • Second-hand fashion. This extends the garment use time while continuing to provide fashion variety and change.
  • • Renting or leasing garments. Fashion leasing helps construct a living “wearing network” where knowledge about sustainability can be shared between consumers (Niinimäki, 2021).
  • • Garment repair workshops, maker spaces, do-it-yourself workshops, knitting clubs. These teach consumers repair skills and provide consumers new ways to resist garment purchasing (Niinimäki et al., 2021).
  • • Clothes swapping (Camacho-Otero et al, 2019). A person’s motives for clothes swapping have been found to depend on highly individual characteristics and social values, such as role models, family patterns, and concepts of self (Albinsson et al., 2009).

Method: Co-creation & Participatory Research

Slow fashion consumption requires new business models that deliver compelling user experiences in order to compete with tradition fashion consumption. Integrating both a strong user and intersectional perspective into the service development process can improve customer acceptance. Co-creation and participatory research typically seek to balance interests, benefits, and responsibilities between the relevant stakeholders, focus attention on user needs, and make the whole process—from planning to implementation—transparent and inclusive (WHO, 2011).

Next Steps

Policy and legislation can serve as catalysts for a circular economy for textiles.

  • • The European Commission adopted an EU strategy for sustainable and circular textiles March 2022. Specific rules for textiles, including product requirements, digital passport, green public procurement, disclosure of discarded products, and measures banning the destruction of unsold textiles, are planned for 2024 (European Commission, 2022b).
  • • The U.S. National Institute of Standards and Technology emphasizes that cohesive policy is needed to support cross-sectoral collaboration to transition to a circular economy for textiles (see image right; Schumacher & Forster, 2022).
  • • India is adopting a circular economy for textiles to retain their competitive edge in this sector (Hari & Mitra, 2022).
  • • China is taking steps to increase its textile waste recycling (Lipiang, 2022).





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Domestic robots have the potential to improve quality of life through performing household tasks as well as providing personal assistance and care. To be successful, domestic robots need to be able to work in households with different physical environments as well as user types, values, and power relations.

Gendered Innovations:
1. Understanding the Needs and Preferences of Diverse Households
2. Value Alignment between Robot and Household
3. Overcoming Domain Gaps between Training and Deployment Environments
4.Addressing Domestic and Global Power Dynamics

 

 

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