Methodology of calculation
for Carbon Footprint of ProductVersion 1.1
ASICS Corporation
30th Nov, 2023

Table of contents
1. Introduction
2. Scope
2.1. Functional Unit
2.2. System Boundaries
2.3. Cut-off Criteria
2.4. Impact Assessment
2.5. Data Collection and Data Inventory
2.6. Data Quality
2.7. Allocation
2.8. Land Use Change
3. Calculation of Carbon Footprint per Lifecycle Stages
3.1. Materials
3.2. Manufacturing
3.3. Transport
3.4. Use
3.5. End-of-life
4. Uncertainty Assessment
5. Sensitivity Analysis
6. Communication
6.1. Communication Principles
6.2. Representativeness6.3. Geographical Limitation
6.4. Credibility
7. References

1. Introduction
It is said that the fashion industry is responsible for between 2 and 8% of global carbon
emissions [1] and is among the industries with the greatest environmental impact. This impact
is the result of more than 20 billion pairs of shoes manufactured each year [2] corresponding
to an estimated 1.4% of global greenhouse gas emissions [3] as well as apparel, with 100 billion
pieces of garments produced each year [4] corresponding to 6.7% of global greenhouse gas
emissions.[3] To make a positive impact on our environment for future generations, it isimportant to understand the environmental impact of the entire lifecycle of our products(footwear and apparel) and make informed efforts to reduce their carbon emissions as well asother potential environmental impacts.
In order to understand the environmental impact throughout the lifecycle of a pair of shoes, we,
ASICS, conducted a life cycle analysis (LCA) of a pair of running shoes in a collaborative research
project with the Massachusetts Institute of Technology (MIT) in 2012 [5]. Additionally, we
performed a LCA of a piece of garment within a program offered by the Japanese Ministry of
the Economy, Trade and Industry in 2013. Based on these experiences, we established the basisof the calculation methodology for a pair of shoes and for a piece of garment. After almost a
decade since this research, consumers are now demanding sustainability related informationsuch as carbon footprint, recycled content, traceability and microplastics. Accordingly, we haveannounced the lightest CO₂e emissions sneaker, “GEL-LYTE III CM 1.95”, in 2022 where we also
conducted a LCA based on past researches and with some updates.
In this methodology, we define every single aspect such as scope, data and calculation formularequired to calculate the product carbon footprint in accordance with ISO 14067:2018. By
measuring and communicating the carbon footprint, we hope to bring visibility to the emissions
hotspots and help our teams to address these hotspots as they work to consciously reducecarbon emissions.
Further, the calculated carbon footprint will be communicated with consumers to inform themof the environmental impact of our products. We believe open communication with consumers
is essential as we progress toward our goals to reduce carbon emissions by 63% by 2030 (versus
the baseline year of 2015) and net-zero by 2050 [6].

2. ScopeThis section will describe the definition of a unit of the assessment, detailed categories of
products, and the boundaries of carbon footprint calculation in this methodology.

2.1. Functional Unit
Based on the ISO definition, the functional unit is a measure of the function or the service of
the assessed product (shoe or garment) that provides a reference to a quantified performanceof the product over a given period of time. A pair of footwear or a piece of garment will be theunit of the assessment.
The functional unit defined in this methodology is shown in Table 1.
Table 1. Functional unit of the assessment
WHAT

HOW MUCH

HOW WELL

Footwear - size US M9Apparel - size Men’s: Large, Women’s: MediumOne pair of footwearOne piece of garment

Wear in good condition with appropriate use
The lifetime of the product with appropriate use for its intended
function.

HOW LONG

Footwear* - For footwear, a full use is defined as one year ofservice, or one full use per lifetime in the Higg Product Module(Higg PM).

Apparel - Following with lifetime use defined in “Product Care
Scenarios” of the Higg PM.

*The wear time will depend on a variety of individual factors and walking/running conditions
which include, but are not limited to, distances covered, surfaces and weather conditions.

2.2. System Boundaries
Processes to be included in the calculation: the following life cycle stages and processes shall be
included in the system boundary, that is the entire life cycle (from cradle to grave) of footwear
and apparel products including Materials, Manufacturing, Transportation, Use and End-of-lifestages. The detailed descriptions of system boundaries are shown in Table 2 and the process
flow is shown for footwear in Figure 1 and for apparel in Figure 2. Some of the main processes
for each life cycle stage are also indicated in the below figures.
Table 2. System boundaries of the calculation
Processes to manufacture/produce finished materials used for a
Materials

product (footwear/apparel) and packaging, including raw material
extraction, yarn formation, textile formation, dyeing, finishing,compounding, forming and any other processes.
Processes for a product (footwear/apparel) manufacturing process

Manufacturing

including cutting, sewing, gluing, embroidering, other upper
processing, stock-fitting, assembling, finishing and any otherprocesses.
Transportation during material manufacturing stages, frommaterial suppliers (Tier2) to assembly factories (Tier1), fromassembly factories to distribution centers, from distribution centers

Transport

to directly-managed retail stores or customers, transportation for
returns and transportation to disposal facilities for process loss
from the assembly factory and for used product and packaging
from customers.


Footwear Based on the co-research with MIT in 2012, a scenario for shoecare aligning with our care guideline is applied for all types offootwear.


UseApparel Based on “Product Care Scenarios” of the Higg PM with slight
adaptions based on European Union draft PRODUCTENVIRONMENTAL FOOTPRINT CATEGORY RULES (PEFCR)
approach, wash times per lifetime and wash/dry scenario foreach product category is defined so that actual care for
sporting goods is considered.

Since ASICS’ products are sold globally, the ratio of disposal mode
varies between countries. In this methodology, the scenario of
End-of-life in the Higg PM is applied. Regarding the shoe packaging
End-of-lifematerials, a scenario is set considering the paper recycling ratio in
key sales countries and regions (US, EU, Japan).
As for process losses during the manufacturing process, the latest
disposal data from assembly factories shall be used.

Figure 1. system boundary of footwear productFigure 2. system boundary of apparel productWithin the system boundaries of ASICS’ products that is described in the figures above, there isno co-product generated from the main processes. As such, the methodology doesn’t take into
account the allocation of emissions other than the product’s direct emissions.

2.3. Cut-off Criteria
In general, all processes and flows that are attributable to the assessed system boundaries shallbe included using both primary and secondary data. However, if individual material or energy
flows are found to be insignificant for the product carbon footprint(footwear/apparel), forexample 1% or 5% of the total footprint, these may be excluded for practical reasons. Thismethodology doesn’t set any specific number that is considered as insignificant. Consistent cutoff criteria that allow for the exclusion of certain processes of minor importance shall be definedwithin the goal and scope definition phase of each study due to the variability and uncertainty
of different processes and flows. Therefore, in order to determine the cut-off items, contribution
analysis shall be performed and the effect of the selected cut-off items shall also be assessedby a sensitivity analysis and described in order to make sure that the impact of excluded items
is insignificant then can be cut-off.

2.4. Impact Assessment
In order to assess the emissions, global warming potential of the newest Intergovernmental
Panel on Climate Change (IPCC) assessment report shall be used in order to reflect the latest
scientific data. Only when there is an absolute necessity to refer to any data that is based onolder IPCC reports, shall the use of older ones be accepted. Impact values for GWP werereported in terms of an equivalent mass of carbon dioxide (kg CO₂- equivalent).
According to the requirements of ISO 14067:2018, biogenic greenhouse gas emissions andremovals shall be included in the carbon footprint calculation of a product (footwear/apparel)and described to ensure that the impact is visible.

2.5. Data Collection and Data Inventory
For data collection, in principle, primary data shall be prioritized and where it is difficult to obtain,
publicly available data sources shall also be used. Primary data means product-specific including
bill of materials, material composition and parts weight, and site-specific such as manufacturing
countries, manufacturing processes, process time, energy consumptions and transportdistances.
As secondary data, in this methodology, the following four public databases and one publishedresearch are referred to as major data sources.
I.

GaBi Database (IPCC AR6 GWP 100, incl biogenic CO₂)II.

Ecoinvent 3.8, Allocation, cut-off

III. CO₂ Emissions from Fuel Combustion 2022-Year 2020, IEAIV.

CFP program common CO₂ emission factor database ver. 4.0 (data in Japan)

V.

Natascha M. van der Velden, (2013), LCA benchmarking study on textiles madeof cotton, polyester, nylon, acryl, or elastane

In terms of the emissions from energy consumption, data that covers the value chain partly
such as the above number III. CO2 Emissions from Fuel Combustion 2022-Year 2020, IEA shallnot be prioritized over other databases because this database does not consider any impact
other than fuel combustion such as fuel extraction and infrastructure needed. Therefore, thedatabase shall be referred to only when the database has relevant data in terms of thegeography and electricity grid mix and other necessary processes such as fuel extraction shallbe considered by using other data. The detail of data sources including their priority is describedin Table 3 below.
Table 3. Data inventory and data sources
StagesRequired data

Weight of material input

Data sources and priorities

information provided byincluding loss

MaterialsEmission factors of raw
materialsEmission factors of material
processing

Parts weight based on thepartner factories

1. GaBi database (IPCC AR6
GWP 100, incl biogenic CO2)
2. Ecoinvent 3.8
3. CFP database ver 4.0
4. Published research
5. LCAs from suppliersProcess inventories provided
by partner factories that



Process datashows rated power ofmachines, process lists andprocess time

ManufacturingEmission factors by electricity

1. GaBi database (IPCC AR6

grid

Emission factors of other energy

GWP 100, incl biogenic CO2)
2. IEA CO2 Emissions from Fuel
Combustion 2022-Year 2020

inputs

Emission factors bytransportation modeTransportDistance for inbound transport

Distance for outbound transport

1. GaBi database (IPCC AR6
GWP 100, incl biogenic CO2)
2. Ecoinvent 3.8


Searoutes



Air Miles Calculator



ASICS list (stores, DCs)

Joint research with MIT

Higg PM (June 15, 2021)



Based on latest shipping

Transportation mode

mode available in theprevious three years



Return rate

Sales result in 2022



Draft PEFCR Version 1.2

footwear




Use

Footwear care

ASICS recommendation

guideline/scenario

Joint research with MIT

Apparel care

Higg PM (June 15, 2021)

guideline/scenario

Draft PEFCR Version 1.2

1. GaBi database (IPCC AR6

apparel

Emission factors byelectricity grid

GWP 100, incl biogenic CO2)
2. IEA CO2 Emissions from Fuel
Combustion 2022-Year 2020

Emission factors of disposalmode

1. GaBi database (IPCC AR6
GWP 100, incl biogenic CO2)
2. Ecoinvent 3.8

Threshold of disposal mode:
product (footwear/apparel),

Higg PM (June 15, 2021)

Published reports

apparel package
End-of-Life

Threshold of disposal mode:footwear packaging(EU, US, Japan)Threshold of disposal mode:
manufacturing loss

Waste treatment results
provided by partner
factories that shows thethreshold of each disposalmode

In this methodology, it’s defined that the LCA results from partner suppliers could be used as adata source of the calculation of the product carbon footprint(footwear/apparel). However, there
could be uncertainty how the suppliers conduct their assessments, therefore the modelingapproach of such suppliers’ LCA shall be investigated carefully, if possible, in order to confirm
whether the modeling approach is aligned with the approach described in this methodology. If
a suppliers’ LCA methodology is not consistent with this methodology, their data will not haveany advantage even though the data input is product-specific and site-specific. In such cases,
the relevant secondary data from publicly available databases listed above could be used for the
carbon footprint calculation.

2.6. Data Quality
In order to make the assessment results of a product carbon footprint(footwear/apparel) as
accurate as possible, a certain level of data quality shall be required for the calculation. Thismethodology describes the required data quality in terms of time, technology and geography asshown in Table 4. The primary data such as product-specific and site-specific always shall beprioritized and the latest data that reflects technological and geographical characteristics ofactual activities shall be collected where possible.

Table 4. Data quality description
StagesRequired data

Data quality description

Weight of material input

site specific data shall be collected byincluding loss

either way described in 3.1.I

Emission factors of different
raw materials

Materials

Emission factors shall be collected fromas recent as possible databases thatfully or partly reflect the geographic
characteristic. The data also shall fullyor partly match the actual technologyEmission factors of material

and material production processes.

processing

When this data is not available,
representative data could be used as a
proxy

ManufacturingProcess dataEmission factors by electricity
grid

Emission factors of otherenergy input

Site specific data shall be collected byeither way described in 3.2.I

Emission factors shall be collected fromas recent as possible databases thatfully or partly reflect the geographic
characteristic

Emission factors shall be collected

Emission factors by

from as recent as possible databases

transportation modethat fully or partly reflect thegeographic characteristic
Site specific data shall be collected by
the way described in 3.3.

Distance for inbound transport

A representative distance could becollected if the site-specific data is notavailable, but only limited to transportthat has minor impacts

Transport

Distance for outbound transport

Site specific data shall be collected by
the way described in 3.3.
The actual shipping results of thelatest financial years shall be collectedTransportation modeto determine the threshold of thetransportation mode between
port/airport to port/airport
The actual sales results of the latest

Return ratefinancial year shall be collected. PEFCR
default value of return rate for eachsales channel could be used
Actual shoe care data is not available
and the impact of shoe care is not

Use

footwear

Footwear careguideline/scenario

considered either in the Higg PM or
PEFCR. This methodology defines a
scenario based on the co-researchwith MIT in 2012, aligning with ASICS
care guideline

The Higg PM, an industrial
representative scenario, shall be used asa basis of the scenario so that the global
consumer behaviors are considered in
the calculation and the definition ofUseapparel

Apparel carewash frequency for sporting goods inguideline/scenario

PEFCR shall be applied to reflect theactual care scenario better as describedin 3.4.
When a detailed care scenario can be
defined, specific and reasonable carescenarios shall be determined
Emission factors shall be collected from

Emission factors of disposal

as recent as possible databases thatmode

fully or partly reflect the geographic
characteristicEnd-of-LifeThreshold of disposal mode:

The Higg PM, an industrial

product (footwear/apparel),representative scenario of disposal

apparel packaging

mode shall be used
The paper recycling results as recent asThreshold of disposal mode:possible in key sales regions, US, EU

footwear packaging

and Japan shall be used as arepresentative scenario.
Site-specific waste treatment
information as recent as possible shall

Threshold of disposal mode:

be collected from partner factories for

manufacturing loss

each product (footwear/apparel). In
case such data is not available, the Higg
PM threshold shall be applied.

2.7. Allocation
When there is multifunctionality between product and co-products, the multifunctionality shallbe addressed. Though allocation is one of the approaches for dealing with this, some priorprocedures shall be taken before any allocation is applied. In accordance with ISO 14067:2018,

a guidance for the allocation procedure is given and that is:1.

To divide the unit process to be allocated into two or more sub-processes separately
and collecting the data;2.

To expand the product system to include the additional functions related to the coproducts;

3.

To partition the inputs and outputs between the different products in a way thatreflects the underlying physical relationships between them, such as weight;

4.

To partition the inputs and outputs between the different products in a way thatreflects the other underlying relationships between them, such as financial value.

Wherever possible, allocation shall be avoided by the procedure 1 and 2 above, then where
allocation cannot be avoided, the procedure 3 and 4 shall be considered.
In terms of the allocation methodologies used in the databases listed in 2.5., utmost attention
shall be paid to understand how each database applies the allocation approach and the best
effort shall be made to choose data that has the same approach for the allocation among several
databases.
If the use of data based on a different allocation approach is unavoidable, a sensitivity analysis
shall be carried out to address the level of uncertainty in the carbon footprint assessment.

2.8. Land Use Change
Land use change, the replacement of natural land by agricultural systems or change from one
to another agricultural system, may occur in farms where any type of plants would be cultivated.
The products of such plants could become a raw material source of fibers, plastics, foams andrubbers used for our products. Since the impact of land use change can be significant, thegreenhouse gas emissions and removals occurring as a result of land use change shall beassessed in accordance with internationally recognized methods and included in the carbon
footprint calculation of a product (footwear/apparel). The land use change is subdivided into
two types below:

direct Land Use Change (dLUC): Change in human use or management of land
within the boundaries of the product system being assessed;

indirect Land Use Change (iLUC): Change in the use or management of land which
is a consequence of direct land use change, but which occurs outside of the productsystem assessed.
These two different land use changes shall be considered separately, and in addition to that, toassess and report the emissions related to the land use changes, the following items shall beconsidered:assessment methodology;time period;

country where land use change occurs;previous land use.

In the case of GaBi databases, Modeling Principles 2020 describes how the databases treat land
use change defining that the calculations for carbon stock changes for dLUC is based on IPCC
rules whose basic approach is to determine the total carbon stock change by assessing thedifference between carbon stocks of the agricultural area - including both, soil and vegetation of the previous and the changed situation. On the other hand, the iLUC is not considered becauseof the uncertainty of iLUC quantification approaches and their results. The applied time period
for dLUC calculation is 20 years that also references the IPCC guidance and complies with GHG
accounting standards. And for all GaBi datasets, the following situation is applied: The country
is known (as defined by the respective dataset) but the previous land use is by default unknown.
Land use change assessment can be a source of uncertainty depending on the databases used
and assessment methodology. Also, uncertainties and lack of transparency on supplierbackground data used for their LCAs can further increase the related uncertainty of the results.
Consequently, when assessing land use change impacts during an LCA, data sources andmethodologies shall be clearly stated in the carbon footprint report.

3. Calculation of Carbon Footprint per Lifecycle StageEach

product(footwear/apparel)

has

five

lifecycle

stages;Material,

Manufacturing,Transportation, Use and End-of-life as defined in 2.2. This section describes the details of thecalculation methodology of each lifecycle stage and data type that shall be collected. The formulaof the calculation will be described in the top of the sub-section. Then, definitions and thedescription of each factor follows, and data type and its priority will be defined.

3.1. Materials
Formula:(I)Material weight (kg/pair) x (II)Emission factors of each material type (kgCO2e/kg)
I. Material weight (kg/pair)
1. To measure every weight of product part including process loss:
Weighing all parts in products (footwear/apparel) and all process loss generated
during manufacturing processes shall always be prioritized because of its accuracy
and specificity.
2. To multiple material usage of each part by unit weight of the materials:
When the data of the parts and a product’s actual weight loss not available, weight
shall be calculated by the following formula; material usage (m²/pair) x unit
weight (kg/m²).
For most parts, material usage is calculated in order to determine the costing andproducts’ intended use.
There are some types of parts that don’t have the usage in “m²” such as shoelace
and sole components. For such parts, the parts weight shall be weighed
individually. (The approach no. 2 is not applicable).
II. Emission factors of each material type (kgCO2e/kg)
1. Total material impact calculated by accumulating required processes:
The carbon footprint of a material shall be calculated using publicly available data
sources such as a LCA database or academic paper and the priority of the databases
is described in Table 4 in 2.6. All the related processes including raw material
acquisition, material processing and transport between each processing site shall be
included in the calculation. Major processes of material processing for footwear are
shown in Table 5 and for apparel in Table 6.
The processes listed in Table 5 and Table 6 generate in most of the case waste, which
requires an extra input of raw materials to produce the necessary amount of materials.
This extra input has to be taken into account with the according emission factors
when calculating the impact of raw materials. Industrial average data can be applied
if primary data for the loss rate from the material suppliers is not available.
2. A LCA result of materials (cradle-to-gate) if material suppliers have certified LCA
reports:
An assessment result on sourced materials themselves could be used as a data source,
but special attention shall be paid when using such suppliers’ LCA results as describedin 2.5.
Table 5. Major processes included Materials stage for footwear
Material type

Processes
i. Raw material source
ii. Yarn formation

1. Textile

iii. Textile formation
iv. Preparationv. Dyeingvi. Finishingi. Raw material source for substrate

2. Synthetic leather

ii. PU typeiii. Substrate formation
iv. Production of synthetic leather
i. Raw material source

3. Foamii. Compoundingiii. Formingi. Raw material source

4. Rubberii. Compoundingiii. Formingi. Raw material source

5. Plastics

ii. Compoundingiii. Forming

6. Hotmelt/laminationi. Raw material source
ii. Shaping
i. Raw material source

7. Leather

ii. Tanningiii. Drying
iv. finishing

The transportation between each process location is also included and the scenario is 200km
transportation by large truck.

Table 6. Major processes included Materials stage for apparel
Material type

Processes
i. Raw material source
ii. Yarn formation

1. Textile

iii. Textile formation
iv. Preparationv. Dyeingvi. Finishingi. Raw material source for substrate

2. Synthetic leather

ii. PU typeiii. Substrate formation
iv. Production of synthetic leather
i. Raw material source

3. Plastics

ii. Compoundingiii. Forming

4. Hotmelt/laminationi. Raw material source
ii. Shaping
i. Raw material source

5. Leather

ii. Tanningiii. Drying

The transportation between each process location is also included and the scenario is 200km
transportation by large truck.

3.2. Manufacturing
Formula 1:(I)Σ{Electricity input (kwh/process) x (II)Emission factors of each grid (kgCO2e/kwh)}
I. Electricity input (kwh/process)o

To collect the process and machine data for all the processes:
Collecting the data of every process for every part from the assembly factories.
Σ{process time of a part (hour) x Rated power of machine for the process (kw)}
Required data from the factory is:Process inventoryMachines used for the processes

Rated power of the machinesEnergy source of machinesProcess time per part or number of parts processable per a certain time

Processes for material manufacturing shall be included in the ‘Material’ stage.
II. Emission factors of each grid (kgCO2e/kwh)o

To obtain from publicly available database:
Data collection from reliable and common databases shall be required. Databases
which can be referred to are:
1. GaBi Database (IPCC AR6 GWP 100, incl biogenic CO2).
2. When the country grid is not available in the GaBi database, CO2 Emissions
from Fuel Combustion, IEA combined with emission factors from the GaBi
database for the fuel extraction and production.

Not only the electricity generation phase, but also upstream activities of the electricity
generation (such as fuel extraction, or transport) shall be taken into account for compliancewith ISO 14067.
The formula 1, which is a bottom-up approach, shall be prioritized when calculating the‘Manufacturing’ stage since this type of data will be more specific to the processes. This formula
may include uncertainty of the electricity consumption because rated power is used for the
calculation and electricity actually used to run machines is currently not available. Only when
the data for the formula 1 is not available, the formula 2, which is top-down approach shall beapplied.
Formula 2:(I)Total annual electricity input at factories (kwh)x (II)Emission factor of each grid (kgCO2e/kwh)/ (III)Total annual production volume at the factories (pairs, pieces/year)
I. Total annual energy input (kwh) at a facilityoTo collect the electricity consumption data from factories:
Collecting the annual electricity consumption data from the assembly factories.

II. Emission factors of each grid (kgCO2e/kwh)o

To obtain from publicly available database:
Data collection from reliable and common databases shall be required. Databases
which can be referred to are;
1. GaBi Database (IPCC AR6 GWP 100, incl biogenic CO2)
2. When the country grid is not available in the GaBi database, CO2 Emissions
from Fuel Combustion, IEA combined with emission factors from the GaBi
database for the fuel extraction and production

III. Total annual production volume at the facility (pairs, pieces)o

To collect the result of the production volume of assembly factories:
The results of 2022 production volume per each factory (pairs, pieces/year)

In case other type of energy is used in the manufacturing processes, the same approach andprioritization shall be applied. Other energy source could be;Steam (kgCO2e/kg, steam use)Fuel combustion (kgCO2e/MJ, fuel use)

Water (kgCO2e/m3, of wastewater treatment)

Major processes of the ‘Manufacturing’ stage for footwear are shown in Table 7 and for apparelin Table 8, but not limited to listed processes.
Table 7. Major processes included Manufacturing stage for footwear
Process

sub-process
i. Cuttingii. Sewing

1. Upper processingiii. Printing
iv. Pressing/Welding
v. Skiving
vi. Gluingi. Buffing
ii. Washing

2. Stockfittingiii. Drying
iv. Preparation
v. Gluingvi. Assembly
i. Buffing
3. Assembly

ii. Preparationiii. Gluing
iv. Assembly

Table 8. Major processes included Manufacturing stage for apparel
Process
1. Cutting

sub-process
i. Cuttingi. Sewing

2. Sewing &3. Assembly

ii. Embroideryiii. Seam taping
iv. Printing
v. Assembly

4. Finishingi. Ironing

Formula 3:(I)Σ{Electricity input defined as a representative (kwh/process)x (II)Emission factors of each grid (kgCO2e/kwh)}
This formula 3 shall only be used when site-specific data, whether it is bottom-up or top-down,
is not available.
I.

Σ{Electricity input defined as a representative (kwh/process)o

To define electricity consumption per process as representatives:
When actual process data is not available due to, for example, a contract or relationshipwith factories, representative data also can be used for the calculation of a productcarbon footprintas proxy. Such representative data shall be defined based on collected
data from other partner factories or based on process data in publicly available
databases described in 2.4. if the process data properly/accurately represents the actual
process in the factories. The maximum efforts shall be made when the representative
data is applied to the calculation so that the data and the actual and technologicalprocess shall be identical.

II. Emission factors of each grid (kgCO2e/kwh)o

To obtain from publicly available database:
Data collection from reliable and common databases shall be required. Databases
which can be referred to are:
1. GaBi Database (IPCC AR6 GWP 100, incl biogenic CO2)
2. When the country grid is not available in the GaBi database, CO2 Emissions
from Fuel Combustion, IEA combined with emission factors from the GaBi
database for the fuel extraction and production.

3.3. Transport
Formula:(I)Weight of goods (ton) x (II)Transport distance(km)x (III)Emission factor of transportation mode (kgCO2e/tonkm)
I.

Weight of goods (ton)
1. To measure weight of a product:
Weighing a finished product (footwear/apparel) shall be always prioritizedbecause of its accuracy and specificity.
2. To add up part weight calculated with material usage and unit weight:
When the weight data of a finished product (footwear/apparel) is not available,
the sum of the part weight calculated by the approach described in I-2 of 3.1. andthe formula is;material usage (m²/pair) x unit weight (ton/m²)

II.

Transport distance
1. Collected data of distances from origin to destination:
Based on the available data, the actual distance from the origin to the destination
shall be calculated in each transportation phase listed in the Table 9. These sitespecific primary data shall be always prioritized over any secondary data. The
required data is shown below, but not limited to; Factory information (factory address, shipping port/airport)

 Distribution center information (discharge port, center address)
 Retail stores information (address)
2. Scenario distance from origins to destinations:
When the primary data for the distance of each transportation is not available,
scenario distance defined in the Higg PM shall be used.
Table 9. transportation details#

1
2

Product（What）
Processedmaterial(I)
Weight(ton/pair, piece)-

OriginDestination(From)(To)

Between each material process

Finished

Total material

Material

Assembly

material

input

supplierfactory

Assembly
3

4

5

6
7
8

9

Finishedproduct

Finishedproduct

Finishedproduct
Finishedproduct
Process loss
Retiredproduct

Returns

Mass in productfactory

Mass in product

Mass in product

Mass in productloss weight
Mass in product

Shipment

factory

airport

Mass in product

(km)
200
500*1

*2

Distribution
port

Shipment

Distribution

airportport

Distribution

Distribution

port

centerDistribution

Distribution

airportcenterDistribution

Retail store

center/Customers

Assembly

Disposalfactory

facility

Customer

Distance

Shipment port

Assembly

Shipment port

(II)

Disposalfacility

Customer

Distribution（In store）

centerCustomer

Distribution（EC）

center

Mode
(By)
large
truck
large
truck
large
truck
sea

*3

freightairfreight

*4

*5
100*6
100*6

large
truck
large
truck
large
truck
large
truck
large

*5

truck
large
truck

*1 The distance defined in the Higg PM is used.
*2 Distance from assembly factories to shipping port/airport shall be calculated/used.
*3 Distance from shipping port/airport to discharge port/airport shall be calculated based on
the sales forecast of each region. The ratio of sales forecast is used for the calculation since thedistance between each shipping port/airport varies from one to another, therefore weighted
average distances shall be calculated/used.
*4 Distance from discharge port/airport to distribution centers shall be calculated based on thesales forecast of each region. The ratio of sales forecast is used for the calculation since thedistance from the port/airport to a distribution center is different depending on the location,
therefore a weighted average distance shall be calculated/used.
*5 Distance from distribution centers to retail stores shall be calculated based on the sales
forecast of each region. The detailed location data of key stores (global flagship, flagship andbrand store) shall be included into the calculation at least. The ratio of sales forecast is used forthe calculation since the distance from the distribution centers to retail stores is different in eachregion, therefore a weighted average distance shall be calculated. In the case of EC sales, theactual distance from distribution centers to every customer is never measured, thus the distancefrom distribution centers to retail stores is used as a proxy.
*6 The distance defined in the joint research with MIT is used.
The ratio of sea freight and air freight shall be calculated based on the most recent three years
shipment results and the ratio is used to calculate the weighted average distance. The resultsfrom the most recent three years are:

Sea freight: 98.3%

Air freight: 1.7%

With regard to returns, the return rate is largely different from retail/in store and EC sales
because in EC cases, customers cannot try a product (footwear/apparel) on before theypurchase it. Therefore, a different return rate shall be considered for each sales channel and thereturn ratio in each channel shall be taken into account to calculate the weighted average returnrate.
The return ratio is defined in PEFCR as below:
Retail/in store scenario: 10%EC sales scenario: 40%

The sales results in 2022 for each retail/in store and EC sales are shown as below:

III.



Retail/in store: 82.2%

EC sales: 17.8%

Emission factors of transportation mode (kgCO2e/tonkm)o

To obtain from publicly available database:
Data collection from reliable and common databases shall be required. Databases
which can be referred to are:1.

GaBi Database (IPCC AR6 GWP 100, incl biogenic CO2)

2.

Ecoinvent 3.8

When special offer such as bio fuel transportation program is applied and the program
has been certified in accordance with ISO 14067:2018, the reduction value can be
accounted for the calculation.

3.4. UseIn the Use stage, the impact from footwear care and apparel care shall be considered separately
because washing footwear in a washing machine is not recommended by ASICS and the care
will most likely be a hand wash while apparel products are washed in a washing machine multiple
times in its lifetime. The below describes the scenario and detailed definition for footwear andapparel care.
<Footwear>
Formula:(I)Water use (m³) x (II)Emission factors of wastewater treatment (kgCO2e/m³)+(III)Detergent use(kg) x (IV)Emission factors of detergent (kgCO2e/kg)
I.

Water use (m³)
o

To apply a scenario made by the co-research with Massachusetts Institute ofTechnology (MIT) in 2012:
Based on the following scenario, water consumption volume for the footwear carein its lifetime is defined as:i. 30 liters of cold water per wash
ii. 3 times wash per life cycleiii. Hand wash, no machine wash
iv. Followed by an air dry, no machine use
v. With mild detergent
Although footwear care impact is not included in PM or PEFCR, many consumers wash
their shoes when they get dirty. It is assumed that consumers follow ASICS’
recommendation on how to care for shoes.
II.

Emission factors of wastewater treatment (kgCO2e/m3)o

To obtain from publicly available database;
Data collection from reliable and common databases shall be required. Databases
which can be referred to are:

III.

1.

GaBi Database (IPCC AR6 GWP 100, incl biogenic CO2)

2.

Ecoinvent 3.8

Detergent use(kg)o

To follow the guidance of shoes care ASICS offers:
The detergent use is assumed as 15-30ml in ASICS shoe care guideline and 30ml
use scenario is considered conservatively.

IV.

Emission factors of detergent (kgCO2e/kg)o

To obtain from publicly available database:
Data collection from reliable and common databases shall be required. Databases
which can be referred to are:1.

GaBi Database (IPCC AR6 GWP 100, incl biogenic CO2)

2.

Ecoinvent 3.8<Apparel>
When it comes to the impact of apparel care, the three factors below shall be taken accountinto the calculation:
Electricity consumption

Wastewater treatment



DetergentThe calculation formula for each factor is shown below and any input volume shall be derived
from the Higg PM scenario:
Formula for electricity consumption:(I)Electricity consumption per wash(kwh/load)x (II)Wash times through a life time per product categoryx (III)Emission factor of grid in sales regions (kgCO2e/kwh)
I.

Electricity consumptionoDefault values set in the Higg PM use scenario:
The standard scenario of the Higg PM shall be used for the electricity input when
washing. Electricity used for operating washing machine and for heating water shall beconsidered. Wash condition (machine/hand wash, water temperature) is also definedby the Higg PM scenario shown in Table 10.

II. Wash times through a life time per product categoryoStandard scenario defined in the Higg PM with slight adjustments:
As well as electricity input and wash condition, the standard scenario in the Higg PM
shall be referred to as the basis of the wash times scenario. However, a scenario setting
for sportswear in PEFCR shall be applied for wash frequency so that the actual carecondition is taken into account better. Scenario details of wash times are shown in Table
11.

III. Emission factors of grid in sales regionso

To obtain from publicly available database:
Data collection from reliable and common databases shall be required. Databases which
can be referred to are:1.

GaBi Database (IPCC AR6 GWP 100, incl biogenic CO2).

2.

When the country grid is not available in the GaBi database, CO2 Emissions
from Fuel Combustion, IEA combined with emission factors from the GaBi
database for the fuel extraction and production.

The weighted average of emissions factors is calculated based on the sales plan for eachcountry/region shall be calculated and applied.

Formula for wastewater treatment:(I)Water consumption per wash (l/load)x (II)Wash times through a life time per product categoryx (III)Emission factor of wastewater treatment (kgCO2e/m3)
I.

Water consumption per wash (l/load)oDefault values set in the Higg PM use scenario:
The standard scenario of the Higg PM shall be used for the water use and wastewater
volume as shown in Table 10.

II. Wash times through a life time per product categoryoThe scenario shown in Table 11 shall be applied.

III. Emission factor of wastewater treatmento

To obtain from publicly available database:
Data collection from reliable and common databases shall be required. Databases which
can be referred to are:1.

GaBi Database (IPCC AR6 GWP 100, incl biogenic CO2)

2.

Ecoinvent 3.8

Formula for detergent:(I)Detergent consumption (kg/load)x (II)Wash times through a life time per product categoryx (III)Emission factor of detergent (kgCO2e/kg)
I.

Detergent consumptionoDefault values set in the Higg PM use scenario:
The standard scenario of the Higg PM shall be used for the detergent use as shown in
Table 10.

II. Wash times through a life time per product category.
oThe scenario shown in Table 11 shall be applied.

III. emission factor of detergent (kgCO2e/kg)o

To obtain from publicly available database:
Data collection from reliable and common databases shall be required. Databases which
can be referred to are:1.

GaBi Database (IPCC AR6 GWP 100, incl biogenic CO2)

2.

Ecoinvent 3.8
Table 10. Input for washing

Washing mode
Machine wash, cool, 20C(per 4kg of load)
Machine wash, warm, 40C(per 4kg of load)
Machine wash, hot, 60C(per 4kg of load)

electricity input

waste water

detergent

(kwh)

(l)

(kg)

0.79

61.00

0.08

1.7690

61.00

0.08

2.75

61.00

0.08

0

0

0

3.12

0

0

0

20.80

0.01

Drying, Air (/4kg of load)
Drying, Machine (/4kg of load)
Hand washing (/kg product)

Table 11. Wash scenario detail for apparel products
use time
Product Category

Fabriccare practice

betweenwashesHalf sleeve T shirt

CottonHalf sleeve T shirt

Synthetic

Long sleeve T-shirt

CottonLong sleeve T-shirt

Synthetic

Singlet

CottonMachine Wash Warm,
Line/Air Dry
Machine Wash Warm,
Line/Air Dry
Machine Wash Warm,
Line/Air Dry
Machine Wash Warm,
Line/Air Dry
Machine Wash Warm,
Line/Air Dry

lifetimeuse

Wash
times perlifetime

1.5

46

30.7

1.5

38.9

25.9

1.5

46

30.7

1.5

38.9

25.9

1

26

26.0

SingletSynthetic

JacketCottonJacketSynthetic

Pants

CottonPants

Synthetic

Shorts

CottonShortsSynthetic

Bra

CottonBra

Synthetic

Tights

CottonTightsSynthetic

Machine Wash Warm,
Line/Air Dry
Machine Wash Warm,
Line/Air Dry
Machine Wash Cool,
Line/Air Dry
Machine Wash Warm,
Line/Air Dry
Machine Wash Warm,
Line/Air Dry
Machine Wash Warm,
Line/Air Dry
Machine Wash Warm,
Line/Air Dry
Machine Wash Warm,
Line/Air Dry
Machine Wash Warm,
Line/Air Dry
Machine Wash Warm
Line/Air Dry
Machine Wash Warm,
Line/Air Dry

1

12

12.0

20

100

5.0

20

100

12.0

4.2

66

15.7

4.2

69.5

12.0

1.5

66

44.0

1.5

69.5

46.3

1

59.8

59.8

1

59.8

59.8

1.5

69.5

46.3

1.5

69.5

46.3

When specific care scenarios such as washing mode, water temperature, was lifetime use andwash frequency can be defined, this specific scenario shall be applied and the scenario details
shall be clearly communicated in the carbon footprint report.

3.5. End-of-life
Formula:(I)Weight of goods (kg) x (II)Emission factors of each disposal mode (kgCO2e/kg)
End-of-life scenarios are applied for different scope in the entire value chain of a product(footwear/apparel) as below:
ProductPackagingProcess loss

And in each scope, the required data for the calculation shall be collected based on the principals
below:I.

Weight of goods (kg)o

To measure weight of each product, packaging and process loss:
Weighing all parts in a product (footwear/apparel), packaging and process loss
generated during manufacturing processes. This approach shall always be prioritizedbecause of its accuracy and specificity.

o

To add up part weight calculated with material usage and unit weight:
When the weight data is not available, the sum of the parts, packaging and processloss weight calculated by the approach described in I-2 of 3.1. Material shall beapplied:material usage (m²/pair) x unit weight (kg/m²)

II.

Emission factors of each disposal mode (kgCO2e/kg)o

To obtain from publicly available databases:
Data collection from reliable and common databases shall be required. Databases
which can be referred to are:1.

GaBi Database (IPCC AR6 GWP 100, incl biogenic CO2)

2.

Ecoinvent 3.8

For the three scopes, different emissions factors shall be applied based on the disposalmode and the disposal mode ratio of the scopes as shown in the table 12.
Table 12. Disposal mode ratio of each End-of-life scope
Scope

1. Product*1

2. Packaging*2

Disposal mode

Ratio

Recycling

5.0%

Landfill

63.7%

Incineration

31.3%

Recycling

79.0%

Landfill

10.5%

Incineration

10.5%

Recycling
3. Process loss

Landfill
Incineration*3

*1 The disposal mode is defined in the Higg PM, but for footwear, recycling mode shall not beapplied unless a specific recycling program is performed since shoes recycling is rarely done in
the industry practice.
*2 Based on the paper recycling ratio in our key sales countries (US, EU and Japan), recycling
rate was defined and the rest of the percentage has been allocated to landfill and incineration
equally.
*3 The latest collected data from facilities shall be applied for the calculation. However, when
the data is not available, the threshold for product shall be applied.

4. Uncertainty assessment
Since the calculation of a product carbon footprint (footwear/apparel) could be conducted basedon information from a specific manufacturing site using various data, whether primary or
secondary, and some standard scenarios, each process and data used for the calculation could
contain some uncertainty, potentially impacting the final calculation and results. The type of
uncertainty could be classified into, but not limited to: timebound, technology and geography.
Uncertainty can also arise from the emission factors used, the scenario developed and themodelling choices. Some major areas of uncertainty that would have effects on the outcome
shall be identified when performing a lifecycle assessment of a product and the detail of
uncertainty such as parameters and its range shall also be calculated to understand thesignificance of uncertainties.

5. Sensitivity Analysis
After the calculation of the product carbon footprint has been completed, a sensitivity analysis
shall be performed to assess the effects of the modelling and methodological choices on the
resulting product carbon footprint (footwear/apparel). Major parameters and activities where
potential uncertainty or variability in the data exists (such as system model, methodology,
processes and data) shall be assessed. The potential effects of these parameter changes shallbe estimated. A sensitivity analysis also can be used to help define the system boundaries by
understanding the significance of each activity in terms of the product’s carbon footprint. The

result of a sensitivity analysis shall be documented separately from the results of the productcarbon footprint (footwear/apparel) in the carbon footprint study report, which is a requirement
for ISO 14067:2018 compliance.

6. Communication
The product carbon footprint (footwear/apparel) may be communicated to consumers by meansof information on a product detail page in the EC site and/or on the packaging material itself.
This will help to inform consumers about the environmental impact of our products and allow
for informed purchasing decisions. This section will describe in more detail, the communicationof the product’s carbon footprint.

6.1. Communication Principles
When communicating a product’s carbon footprint to consumers, it is essential to make surethat the information provided, is science-based and credible and aligned with state-of-the-art
methodologies and international standards. The objective of consumer communication is toprovide clear information concerning the environmental impacts of products, to help informconsumers’ purchase decisions. Communication concerning product environmental claims must
be clear and factual. Any claim which is vague, broad or uses ambiguous terms like "green","sustainable" or "eco-friendly" shall be avoided. As such, communications shall adhere to ISO
14026:2017 concerning the required details for communicating a product’s environmental
footprint. The most important of which are:1.

Accurate and verifiable: Following a life cycle assessment, done in accordance with
science-based calculations and validated by a third party, results may be
communicated to consumers.

2.

Relevant to the particular product: A life cycle assessment shall be performed on
the exact product and the calculation scope shall be communicated.

3.

Specific to the impact area: The impact area of the environmental effect, in mostcases carbon footprint, shall be clarified and any claims that suggest positiveenvironmental benefits of products are not permitted.

4.

Explicable: Details of the calculation such as functional unit, life cycle stages andtheir definition shall be described in consumer communications.

5.

Understandable: Communication claims shall be accurate and in non-technicalterminology for general comprehension by non-expert or technical audiences. In
particular, technical or complex information shall be presented in a clear andcomprehensible manner. The use of equivalencies is also recommended to help
consumers understand the environmental impact of a product. Equivalencies shallalways be referenced, data sources and potential modelling assumptions (such as
geography) shall be clearly stated.

6.

Accessible: The result communicated with consumers shall be supported by ascience-based assessment and the sources of the communication shall be available
to consumers at the point of sale or any other publicly available communication
medium.

An example of communication languages aligned with the above principles could be similar to
the following;“A pair of ASICS “Shoe model” emits XX kg of CO2e. This is the equivalent to charging yourphone YY times. The carbon footprint of these shoes is ZZ% lower than its previous generation.
To learn more, download the carbon footprint report here.”**The calculation was performed in “Month and Year” based on our ISO 14067: 2018 compliant
carbon footprint calculation methodology and includes the following life cycle stages: Materials,
Manufacturing, Transportation, Use and End-of-life. “Model and year of shoe” is used as acomparison.”In addition to the principles above, when a product comparative footprint is communicated, thecomparison shall conform with the following requirements:
Assessed by the same functional unit;Assessed within the same system boundaries;

The same lifecycle stages are considered;

The same methodological and modelling choices are made (such as database used,
IPCC GWP version used, allocation principles and land use approach)Any claims that imply an improvement versus previous products shall not be made unless there
is a science-based and third party validated result making clear which environmental impacts
are compared and improved.

Communication language shall be developed following the above principles and requirements
so that the language will be clear and not to be misleading. International standards such as ISO
norms and national guidelines such as The Green Guides by Federal Trade Commission shall also
be applied when communicating a product’s footprint to consumers.

6.2. RepresentativenessA product carbon footprint (footwear/apparel) may be calculated based on a functional unit
which defined in 2.1. and this footprint will represent a variety of products such as;


Size



Gender

Width (for footwear)

A single representative footprint number can be used if:

the representativeness in a product series and use of a single representative
number for the product series is communicated clearly.



there is no change in design, technology or process when using a different
color or embossing.



communication claims are developed only in the same country/region that areincluded in the scope of the footprint calculation.

the approach for the communication including the representativeness is
clarified in a carbon footprint report and any additional explanatory statements
and made publicly available.

Here are some examples of the representativeness for footwear;Shoe model “A” has 10.0kg CO₂e/pair (men’s US9, regular width)In the market, the below variation may be labelled as 10.0kg using the same
footprint;oShoe model “A” for women, size: US7, regular widthoShoe model “A” for men, size US7, regular widthoShoe model “A” for men, size US9, narrow width

On the other hand, in the cases below, a product shall be labelled with footprint
numbers calculated exclusively for each product and the number cannot be
the same with shoe model “A”, men’s US9, regular width;oShoe model “A” for kids, size US3, regular widthoShoe model “A” for Pre-school, size K11, regular widthoShoe model “B” for men, size US9, regular width

A product could be sold in the market over a period of years and as long as the base model isthe same and there is no change in design, technology or process and even if the color isdifferent, the same emission number will be used among these items;

Shoe model “A” v1 sold in 2023.1



Different color of shoe model “A” v1 sold in 2023.7

If the next generation of the shoe model “A” like v2 will be sold in 2024.1, then the calculation
results of the first generation cannot be used as a comparator. Furthermore, a lifecycle
assessment for the second generation shall be conducted in order to obtain a validated andscience/based carbon footprint of the second generation product before it can be communicated.

6.3. Geographical limitation

Ideally, displayed product footprints should be representative of their respective geography(sales and production country or region) and use location-specific data whenever possible.
However, this is not always possible and the use of average or weighted data shall be clearlystated on consumer-facing communications. As described in 3.3, 3.4. and 3.5., the use of
average data for transport distances, disposal assumptions and electricity grid mixes for washingmachine operation can be used in the assessment. The use of average data leads to several
geographies communicating identical results instead of having different life cycle assessment
results for each geography.

When a consumer-facing communication about product carbon footprint is planned, thefollowing priority shall be taken account.
1. To calculate different carbon footprints based on the specific data of each sales region
such as transport distance and electricity grid mix and to label different footprints in
the regions accordingly.
2. To calculate one carbon footprint using the most conservative data for each lifecycle
stage, for example, the longest distance for the transportation and the highest gridmix for the use stage and to label a single footprint in the all sales regions.
3. To calculate one carbon footprint using the weighted average data reflecting thelocality of the sales regions by using the sales plan and to label a single footprint in all
sales regions.
Given operational difficulties in labelling different footprint results in different sales regions, asingle carbon footprint result could be communicated to consumers across different sales
regions as mentioned in the second and third priorities above. Even though both approaches
arecompliant

with

ISO

14067:2018,

thesecondapproachisrecommendedonproduct/packaging as this approach offers consumers the most conservative calculation results.
In the third case, there are inherent uncertainties and limitations which might result in a product(footwear/apparel) having the same environmental impact regardless of where they are sold or
produced.

6.4. Credibility
This methodology has been reviewed by an external partner, Quantis, with decades ofexperience and expertise in lifecycle assessment and advising organizations in theirsustainability plans and been confirmed that the methodology is compliant with ISO 14067:2018.
To ensure the methodology is credible and robust, the carbon footprint assessment of a pair of
Asics shoes sold in 2023 using the presented methodology have been reviewed and verified by
Quantis and thus the results produced by the tool using the methodology can be considered tobe compliant with ISO 14067:2018. Both the methodology and product carbon footprint reviews
will be performed periodically when significant changes are made, every 1-3 years.
The full responsibility for clarity, robustness and transparency in the creation and communicationof the environmental claims (on and off the packaging) is in the sole hands of ASICS who isleading any communication or development of specific claims.

Final statement from Quantis
The ASICS methodology in the version delivered on the March 17th is found to be compliant
with ISO 14067/2018 guidelines.
The critical review report has been delivered to ASICS separately. The reviewer cannot be held
responsible for the use of their work by any other third party. The conclusions of the reviewer
cover the final report “CLEAN_ASICS Carbon Footprint Methodology_230317.pdf” (version ofMarch 17th, 2023) provided by ASICS. These conclusions do not cover any other report, extract
or publication which could be produced. The conclusions of the reviewer were provided basedon state of the art and information provided during the project. The conclusions of the reviewer

could change in another context.
7. References[1] https://www.wri.org/research/roadmap-net-zero-delivering-science-based-targetsapparel-sector[2] The World Footwear 2022 Yearbook, APICCAPS (2022)[3] https://quantis.com/wpcontent/uploads/2018/03/measuringfashion_globalimpactstudy_fullreport_quantis_cwf_2018a.pdf[4] https://www.mckinsey.com/capabilities/sustainability/our-insights/style-thats-sustainablea-new-fast-fashion-formula[5] https://dspace.mit.edu/bitstream/handle/1721.1/102070/Olivetti_Manufacturingfocused.pdf?sequence=1&isAllowed=y[6] https://corp.asics.com/en/csr/planet-operations

Appendix.
As stated in 6.1., any calculations used for the comparison should be conducted based on thesame conditions such as functional unit and lifecycle stages. Therefore, an assessment of
average running shoes based on this methodology was performed as a basis for futurecomparison opportunities, using the data from the research with MIT with some amendments
so that the assumption would reflect the current manufacturing practices. The result shows apair of the shoes could emit 14.5kgCO₂e/pair and the detail of the assessment follows;
Appendix.
Item
Functional Unit

SystemBoundary

Detail

A pair of shoes (M’s US9)

Material

ManufacturingTransport



Use



End-of-Life

Based on material detail of the shoe assessed in the co-research with MITMaterialsManufacturing

Polyester: 11%
Other type of fiber: 4%
Polyurethane (PU): 25%
EVA foam: 6%
Rubber: 8%
Olefin copolymer: 9%
Packaging: 21%
Others: 16%Process loss in material manufacturing is included

4.7kWh of electricity consumption and 37.1MJ of steam consumption

No coal use is considered

Major manufacturing countries of footwear (China, India, Vietnam, Indonesia
and Brazil) are consideredTransport

Product Use

End of Life

Sea/air freight ratio is 83/17% as per ‘Fashion on Climate’ report released by
the Global Fashion AgendaDistribution ratio is derived from sales plans of our representative running shoe

90 liters of cold water per washThree times hand wash per life cycle followed by an air dry

Typical disposal mode in the industry;Landfill: 64%
Incineration: 31%
Recycling: 5%

History of methodology
Date

File name17th Mar 2023

Methodology version 1.0