Why Fashion's Environmental Scores Don't Add Up: A Guide to Life Cycle Assessments

Life Cycle Assessments (LCAs) are the fashion industry's tool for measuring environmental impact, but inconsistencies in methodology, data, and scope lead to incomparable results. Consumers should critically evaluate LCA claims for transparency regarding system boundaries and excluded factors.

Amara Singh

June 9, 2026 · Updated October 8, 2026 · 4 min read

Life Cycle Assessment, or LCA, is the fashion industry's primary method for measuring the environmental impact of its products. From a cotton t-shirt to a pair of leather boots, this methodology is used to calculate everything from greenhouse gas emissions to water usage. Yet, as brands increasingly use LCA-based scores to back up their green claims, a critical problem has emerged: the results are often inconsistent and cannot be compared, leaving consumers unable to make informed choices. This variability stems from fundamental differences in how assessments are conducted, the data they use, and what they choose to leave out.

What is a Life Cycle Assessment (LCA) in Fashion?

A Life Cycle Assessment is a scientific methodology used to quantify the environmental footprint of a product throughout its entire existence. According to the industry organization Textile Exchange, it is the main tool used in the fashion, textile, and apparel sector to understand environmental impacts on a broad scale. Companies use LCAs to calculate metrics like their carbon footprint and identify "hotspots" in their supply chain where the most significant environmental burdens occur. This information can inform decisions on everything from material sourcing to product design.

The process, as the name suggests, follows a product's life from the extraction of raw materials, through manufacturing and consumer use, to its eventual disposal or recycling. An LCA typically involves several phases, starting with defining the goal and scope of the analysis. This is followed by the Life Cycle Inventory (LCI) phase, where data on all the inputs and outputs of a product system are collected. Finally, in the Life Cycle Impact Assessment (LCIA) phase, this data is used to evaluate the potential environmental impacts.

Key Variables Influencing Fashion LCA Results

The credibility and comparability of an LCA depend entirely on the methodological choices made during the assessment. Seemingly small variations in scope, boundaries, or data can lead to vastly different results for similar products, making direct comparisons between brands difficult. The following table breaks down the key variables that can alter the outcome of a fashion product's environmental score.

Key methodological choices that determine the outcome and comparability of a fashion LCA.
Variable	Description	Impact on Comparability
System Boundaries	Defines which life cycle stages are included. A "cradle-to-gate" assessment ends when the product leaves the factory, while a "cradle-to-grave" assessment includes consumer use and end-of-life disposal.	Results are not comparable if boundaries differ. A cradle-to-gate assessment may appear more favorable by omitting the significant impacts of washing, drying, and disposal.
Functional Unit	The unit of service the product provides, used as a basis for comparison (e.g., "one t-shirt, worn 50 times over two years").	If one brand assesses a t-shirt based on 25 wears and another uses 50 wears, their environmental impact scores per use cannot be directly compared.
Data Sources	Data can be primary (collected directly from a specific factory or farm) or secondary (drawn from large, generic databases like Ecoinvent or the EU's official EF database).	Primary data is more accurate to a specific product but difficult to obtain. Generic data is easier to use but may not reflect a company's actual processes, leading to less reliable results.
Impact Categories	The specific environmental effects being measured. The EU's PEF method uses 16 categories, including climate change, water use, and ozone depletion.	An assessment may focus on a single category like carbon footprint while ignoring others where the product performs poorly, potentially leading to selective disclosure or "greenwashing."

Why LCA Results Vary: System Boundaries and Data Quality

The lack of a single, standardized methodology is a primary reason for the wide disparities in fashion's environmental reporting. A systematic review of LCAs in the industry highlighted "considerable variability" in how assessments are conducted, specifically pointing to differences in system boundaries, functional units, and data sources. These inconsistencies create significant challenges for comparing products and can even facilitate misleading marketing.

The choice of system boundaries is particularly consequential. As the academic review notes, the use of different scopes like "cradle-to-gate" versus "cradle-to-grave" creates "issues of comparability and expose assessments to either selective disclosure and/or unintended greenwashing." For example, an analysis that stops at the factory gate omits the environmental impact of a garment being washed and dried hundreds of times by a consumer, a phase that can be highly resource-intensive.

Data quality is another critical factor. Many LCAs rely on average data from large databases, which may provide a general indication of impact but not an accurate depiction of a specific product's reality. While based on scientific research, this generic data may not be transparently communicated, leading to claims that are not true to a product's actual lifecycle. The choice between different databases, such as the global Ecoinvent or the official European EF database, can also influence the final calculations.