
What is the difference between Scope 1, 2 and 3?
The GHG Protocol, the international language of carbon accounting, classifies greenhouse gas emissions into three scopes according to the degree of responsibility and control. This split is not an abstract academic preference; it is a practical framework that determines which data a brand will request from whom and which data a supplier is obliged to provide.
Scope 1 — Direct emissions: Emissions from sources owned or controlled by the facility itself. The natural gas feeding the steam boiler in the dyehouse, generator fuel, forklift diesel and the fluorinated gases leaking from cooling systems all fall within this scope. For the manufacturer these are directly measurable and reducible items.
Scope 2 — Indirect emissions of purchased energy: Emissions arising from electricity drawn from the grid, purchased steam or district heating. The emission physically occurs at the power station where the energy is generated, but because consumption takes place at your facility it is attributed to you. Renewable energy certificates and the carbon intensity of the grid are decisive here.
Scope 3 — Other indirect emissions: All emissions upstream and downstream of the value chain that are not under the company's direct control. From the brand's point of view this covers yarn and fibre production, fabric knitting, dyeing-printing-finishing, logistics, the product's use phase and the waste stage. The critical point is this: the supplier's Scope 1 and Scope 2 emissions make up the purchased goods and services (category 1) item of the brand's Scope 3 inventory.
| Scope | Definition | Example source in textile production | In whose inventory |
|---|---|---|---|
| Scope 1 | Direct, from own source | Dyehouse steam boiler natural gas, generator fuel, forklift diesel | Manufacturer's direct emission |
| Scope 2 | Purchased energy | Grid electricity, purchased steam | Manufacturer's indirect emission |
| Scope 3 | Value chain (upstream/downstream) | Purchased yarn, commission service, logistics, product use | Brand's indirect emission (includes the manufacturer's Scope 1+2) |
Why is Scope 3 the dominant scope in textiles?
Viewed at brand level, the direct emissions of the production facility, store network and corporate offices (the brand's Scope 1+2) usually make up a small slice of the total carbon footprint. The remaining large majority is in Scope 3, and a significant part of that comes from the stages where the product is physically produced: fibre/yarn production, fabric knitting and especially the wet processes — that is, dyeing, printing and finishing. Because wet processes require intensive thermal energy to heat water, dry the fabric and fix it, they are among the most energy-intensive links in the production chain.
This structural reality directly affects reporting practice. No matter how much efficiency a brand achieves within its own boundaries, because the dominant part of the total footprint is generated at the supplier, meaningful reduction is only possible with supply chain data. In the early years brands fill the gaps with sector-average emission factors (spend-based or generic); however, as targets tighten and regulation matures, the expectation of moving to real facility data (supplier-specific / primary data) grows. For a single coordinator — knitting in-house and managing commission dyeing/finishing through a vetted contract network — this is the point where being able to measure the chain from one coordinated record turns into a concrete advantage.
Which data is collected during the production stage?
Providing production-stage data is a matter of measurement, not estimation. For the supplier to be able to contribute to brand reporting, it must record activity data systematically and contextualise it against production volume. In practice the items focused on are as follows:
- Energy: Purchased grid electricity (kWh), thermal fuel burned on site (natural gas, steam generation), any on-site renewable generation and the share of purchased renewables. For dyeing-finishing, thermal energy is usually the largest item.
- Water: Total water abstracted, process water, discharged water and recovery rate. Although water is not a direct greenhouse gas source, because heating it consumes energy it is indirectly linked to carbon; it is also a separate environmental impact indicator.
- Chemicals and dyestuffs: Per-batch consumption of dyestuffs, auxiliary chemicals and finishing agents. These are monitored both for production (upstream) emissions and for ZDHC/MRSL compliance.
- Production volume: The denominator that makes all the above items meaningful. Values per kilogram of fabric, per metre or per batch produce intensity indicators that the brand can allocate proportionally to its own product tree.
| Scope / item | Example production-stage data | Typical source / measurement |
|---|---|---|
| Scope 1 — thermal | Steam boiler natural gas consumption (batch / month) | Meter reading, supplier invoice |
| Scope 1 — site vehicles | Forklift / generator fuel | Fuel purchase records |
| Scope 2 — electricity | Grid electricity (kWh), renewable share | Electricity invoice, renewable energy guarantee / certificate |
| Water | Water abstracted / discharged, recovery | Flow meter, treatment plant record |
| Chemical / dyestuff | Dyestuff and auxiliary consumption (kg/batch) | Recipe / dosing records, stock movement |
| Production volume (denominator) | Fabric processed (kg), metres, number of batches | Production / ERP records |
An important discipline note: tracking data on a batch or process basis makes subsequent product-specific allocation far more reliable. When fabrics of different qualities are processed for different customers in the same facility, proportioning total consumption to production volume — rather than flattening it into a single average — brings you closer to the product-level (cradle-to-gate) value the brand wants.
How do LCA and PEF logic use the data?
A carbon footprint is not a single number on its own but the output of a calculation method. LCA (Life Cycle Assessment) quantifies a product's environmental impacts within system boundaries — for example "cradle-to-gate", that is from raw material to the factory gate. In textiles this boundary usually starts at fibre production, covers yarn, knitting and the wet processes, and ends at the point where the fabric is ready for shipment.
PEF (Product Environmental Footprint) is the European Commission's effort to standardise LCA for product categories. Its aim is to make different manufacturers' footprints comparable by calculating them with the same rules — the same system boundary, the same allocation method, the same impact categories. The PEF methodology encourages the use of primary (specific) data wherever possible; the supplier's real energy, water and chemical records are precisely this primary data.
The connection here explains why production data is so valuable. In an LCA or PEF study, when the supplier does not provide real data, the calculator resorts to generic database averages (secondary data). Average data is both generally higher (conservative) and more uncertain; it weakens the brand's reduction claim. When the supplier provides facility-specific primary data, uncertainty falls and the brand's real improvements (renewable transition, water recovery, process efficiency) can be reflected in the result. This is the point where sustainability becomes measurable performance rather than marketing, and together with certified chain-of-custody documentation such as GOTS/RCS it strengthens the supplier's credibility.
How does the supplier contribute to brand reporting?
As brands mature their Scope 3 inventories, they increasingly request more structured data from suppliers. In practice this request comes in several forms: standard sustainability surveys, data entry into sector platforms (for example supply chain environmental data programmes) or a direct product carbon footprint (PCF) file. The supplier's role in this process becomes clear through the following steps:
- Measurement discipline: Collecting energy, water and chemical consumption on a meter- and record-based, repeatable basis — documentation, not estimation.
- Contextualisation: Producing per-unit (per kg or metre) intensity by proportioning consumption to production volume; allocating by customer/product where possible.
- Transparent boundary definition: Clearly stating which processes (dyeing/finishing only, or including knitting) are included in the data; because if the system boundary is unclear, the data cannot be compared.
- Verifiability: Basing the data on auditable sources (invoice, flow meter, ERP); supporting it with certified management systems.
- Format compliance: Reporting in line with the template or platform the brand requests; this naturally overlaps with a data infrastructure ready for the Digital Product Passport.
| Maturity level | Type of data provided | Effect on the brand |
|---|---|---|
| Initial | Sector-average / spend-based estimate | High uncertainty, conservative (generally high) result |
| Developing | Facility-total energy/water (proportioned to volume) | Lower uncertainty, facility-level intensity |
| Mature | Product/batch-specific primary data (PCF) | Low uncertainty, real improvements reflected in the result |
The distinguishing aspect of a single-coordinator structure here is that in-house knitting and the contracted commission dyeing/printing/finishing can be measured from one coordinated record. When the links of the chain are spread across unmanaged facilities, data gaps and boundary uncertainties increase; under a single point of contact, however, energy, water and chemical flows can be tracked end to end with a consistent denominator. This increases both the scope and the reliability of the contribution made to the brand's Scope 3 reporting.
How is the regulatory framework making this data mandatory?
Demand for Scope 3 data goes beyond voluntary goodwill. European regulations on corporate sustainability reporting and supply chain due diligence are compelling large brands to measure and disclose value chain emissions. Because the brand cannot meet this obligation alone, the data request descends to the supplier as a contractual expectation. In the same direction, chemical management and product-level transparency requirements also require production data to be kept systematically.
While this regulatory landscape is maturing rapidly, the details are being clarified gradually, through delegated acts and sector guidance in 2027 and beyond. For this reason, rather than committing specific capacity thresholds, reporting dates or verification obligations as exact figures, the soundest course is to clarify the requirement together according to each brand's own compliance timetable and data format. What matters is that the supplier keeps the data measurable, traceable and verifiable from now on; because once the infrastructure is in place, it becomes possible to respond whatever format arrives.
Frequently asked questions
Which scope of our inventory do our supplier's Scope 1 and Scope 2 emissions fall under?
A supplier's Scope 1 (their own boilers, generators, forklift fuel) and Scope 2 (purchased grid electricity, steam) emissions form the purchased goods and services line (category 1) in the brand's Scope 3 inventory. In other words, the manufacturer's direct and indirect energy emissions become your value-chain indirect emissions. This distinction determines which data you request from whom.
Why is Scope 3 the dominant line in a textile brand's carbon footprint?
Because the overwhelming majority of emissions arise not in the brand's offices and stores but across the supply chain. The brand's own Scope 1+2 is a small slice of the total footprint; the remaining majority lies in fibre/yarn production, fabric knitting and especially wet processing (dyeing, printing, finishing). Because wet processing requires intensive thermal energy to heat, dry and fix water, it is one of the most energy-intensive links.
Which data do we need to collect at the production stage?
Three core measurements are required: energy (grid electricity in kWh, thermal fuel/natural gas, renewable share), water (withdrawn, discharged and recovered) and chemical/dyestuff consumption (kg/batch). These items are divided by production volume (kg of fabric, metres, batch) to convert them into per-unit intensity indicators. The data the brand requests are mostly these per-unit values; not estimates, but meter- and record-based measurements.
What are LCA and PEF, and how is our data used in these calculations?
LCA (Life Cycle Assessment) quantifies a product's environmental impact within system boundaries, for example cradle-to-gate. PEF is the European Commission's effort to standardise LCA for product categories and provides comparability through the same boundaries, method and impact categories. Both use the supplier's actual energy, water and chemical records as primary data; as real data increases, the uncertainty of the result decreases.
What changes if industry-average data is used instead of facility-specific primary data?
When the supplier does not provide real data, the calculator falls back on generic database averages (secondary data). These averages are generally both higher/more conservative and more uncertain, and they weaken the brand's reduction claim. When facility-specific primary data is provided, uncertainty drops and real improvements such as the renewable transition, water recovery and process efficiency are reflected in the result.
Within the regulatory framework, can you give us exact thresholds and reporting dates?
No; this approach is deliberate. Europe's corporate sustainability reporting and due-diligence regulations are pushing brands to disclose value-chain emissions, which trickles down to the supplier as a pressing data request. However, the details are being clarified gradually through delegated acts in 2027 and beyond. For this reason, rather than committing to exact capacity thresholds or dates, we clarify the requirement together according to each brand's own compliance timeline and data format.
