CARBON FOOTPRINT
AND CLIMATE STRATEGYEVALUATION
2019-2020

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TABLE OF
CONTENTS

1
2

METHODOLOGY AND STUDYPARAMETERSRESULTS OF THE STUDY

3

BENCHMARK DATA

4APPENDICES

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1 METHODOLOGYAND STUDY
PARAMETERS

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1

GENERAL PERIMETER OF THE STUDY• Organisational scope: for the present study of Arturia’s overall carbon footprint, the scopeincludes all of the company’s activities, both in France and abroad (internal operations, media
and sales) as well as product life cycles.
• Temporal scope: the study focuses on the company’s 2019-2020 fiscal year extending from 01
July 2019 to 30 June 2020.
• CO2 calculations are based on data collected by Arturia. External studies and documentation
have been utilised in order to extrapolate certain calculations and thus present the mostcomprehensive view of the company’s carbon impact.

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MAP OF ARTURIA’S BUSINESS FLOWSPRODUCT LIFE CYCLE

34FACTORIESWAREHOUSES

2
1

FREIGHT

Necessary product raw
materials (electronics,
aluminium, etc.)

Necessary raw materials
for product packaging(polyethylene, EVA,
cardboard, etc.)

Transportation of
keyboards frommanufacturing site toassembly site

Transportation of raw
materials to manufacturing
and assembly sites (road,sea, air)Distribution
Factory > Stock
Stock > Intermediary
Stock > Retail outlet

Waste

Packaging fortransportation

WASTE AND END OF
PRODUCT LIFE-CYCLE
Energy consumption
linked to producthardware

Intermediary > Retail outlet
Retail outlet > Customer

Other materials
neccessary for
production
Supplier-related
expenses

7

PRODUCT USAGE

Factory > Intermediary
Factory > Retail outlet

Packaging

Production-generated
waste

6

DISTRIBUTION

Energy consumption

Water and electricity
consumption

RAW MATERIALS

5Energy consumption
linked to productsoftwareEnd product(initial raw
materials andpackaging)

Office-generated waste
Business trips
Office-generated energy consumption
Supplier-related expenses

Advertising/Marketing paper
Advertising/Marketing digital
Goodies
POS

Home-to-office commuting
In-office assets (computers,
premises…)

OFFICES/SALES/MEDIA:

A

B

COMPANY HEADQUARTERS/OFFICESMEDIA/SALES/GOODIES/POS

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2 RESULTS OF THE STUDYOVERALL RESULTS
DETAILED RESULTS

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1

MAP OF ARTURIA’S BUSINESS FLOWSPRODUCT LIFE CYCLE

34FACTORIESWAREHOUSES

2
1

FREIGHT

Necessary product raw
materials (electronics,
aluminium, etc.)

Necessary raw materials
for product packaging(polyethylene, EVA,
cardboard, etc.)

Transportation of
keyboards frommanufacturing site toassembly site

Transportation of raw
materials to manufacturing
and assembly sites (road,sea, air)Distribution
Factory > Stock
Stock > Intermediary
Stock > Retail outlet

Waste

Packaging fortransportation

WASTE AND END OF
PRODUCT LIFE-CYCLE
Energy consumption
linked to producthardware

Intermediary > Retail outlet
Retail outlet > Customer

Other materials
neccessary for
production
Supplier-related
expenditures

7

PRODUCT USAGE

Factory > Intermediary
Factory > Retail outlet

Packaging

Production-generated
waste

6

DISTRIBUTION

Energy consumption

Water and electricity
consumption

RAW MATERIALS

5Energy consumption
linked to productsoftwareEnd product(initial raw
materials andpackaging)

Office-generated waste
Business trips
Office-generated energy consumption
Supplier-related expenses

Advertising/Marketing paper
Advertising/Marketing digital
Goodies
POS

Home-to-office commuting
In-office assets (computers,
premises…)

OFFICES/SALES/MEDIA:ACOMPANY HEADQUARTERS/OFFICES

Integrated in the study

B

Not integrated in the study

MEDIA/SALES/GOODIES/POS

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CARBON FOOTPRINT: SUMMARY OF THE RESULTS

CARBON FOOTPRINT
OF COMPANY
ACTIVITIES IN 201910,100 tCO2e

CARBON FOOTPRINT OF
ACTIVITIES IN 2019 PER
INDIVIDUAL EMPLOYEE
104 tCO2e/employee** Data based on 97 full-time staff members. This ratio does not take into consideration factory employees.

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10,100 TCO2E EMISSIONS GENERATED BY ARTURIA’S ACTIVITIES IN 2019, OF WHICH
55% ARE DIRECTLY LINKED TO RAW MATERIAL USE• 78 % manufacturing and transportation of products• 15% company headquarters/offices and marketing goods• 7% end-of-life product waste

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DETAILED PERIMETER OF THE STUDY

Elements not integrated in the study§ Freight: carbon emissions linked to the transportation of raw materials between their place of origin (city or country of the post-extraction site of a given raw
material) and Arturia’s manufacturing site.
§ Warehouse: emissions linked to packaging if the latter differs from that used in final factory output§ Distribution: emissions linked to the final km travelled by product or customer
Concerning emissions emanating from ‘final km travelled’, it is important to relativise with respect to ADEME* recommendations on this subject:q The considerable risk of uncertainty of such emission measurements may undermine the scientific credibility of obtained results.
q The deployment of a credible system of measurement is too costly in relation to any noticeable significance in results obtained. Companies prefer to devoteresources to undertaking direct actions that aim at emissions reduction, or to dialogue with partners.

Additions to the final study§ Raw materials: in an effort to preserve the comparability and the homogeneity of the method employed, ‘electronic materials’ are considered as a whole entity
during the V1 study. Given the importance of these components in Arturia’s carbon analysis, a more comprehensive V2 study was conducted with the aim ofidentifying the various elements and the materials they are composed of. The present study has integrated this more comprehensive analysis.
§ Utilisation: to be able to measure adequately all emissions sources, including product utilisation, Arturia implemented a customer-based survey with the goal of
better understanding duration and frequency of product use. The present V3 study has included this emissions source.

*ADEME : French national Agency for the Environment and Energy Conservation

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2 RESULTS OF THE STUDYOVERALL RESULTS
DETAILED RESULTS

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SUMMARY OF CARBON FOOTPRINT RESULTS BY SUB-SOURCE
N°
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25

Primary emissions source
RAW MATERIALSHEADQUARTERS/OFFICESHEADQUARTERS/OFFICESWASTE RELATED TO END OF PRODUCT LIFE
DISTRIBUTIONUTILISATIONFACTORIESRAW MATERIALSDIGITAL MEDIA SALES GOODIES POS
FACTORIESFACTORIESDISTRIBUTION
FACTORIESDIGITAL MEDIA SALES GOODIES POS
DISTRIBUTIONUTILISATIONHEADQUARTERS/OFFICESHEADQUARTERS/OFFICESHEADQUARTERS/OFFICES
WAREHOUSESDIGITAL MEDIA SALES GOODIES POSFREIGHTDIGITAL MEDIA SALES GOODIES POS
WAREHOUSESFACTORIESEmissions CO2e
(kgCO2e)

Emissions sub-source
Raw materials (product)
Supplier-linked expenditures
In-office assets
End of product life
By truck
Software utilisation
Packaging for transportation
Raw materials (packaging)
Advertising / Digital marketing and utilisation
Production-related waste on factory premises
Energy consumption linked to production on factory premises
By seaOther materials necessary for production on factory premises
GoodiesBy air
Hardware utilisation
Home-to-office commuting
Waste
Energy and water consumption
Consumption in warehouses (stocking)
POS
Material freight
Advertising /Marketing paper
Waste
Water consumption linked to production on factory premises
TOTAL

Emissions CO2e(%)

5 400 620

53%

1 034 18110%

875 5009%

650 5236%

434 8514%

420 8034%

264 8983%

198 1922%

183 3342%

156 5742%

136 838

1%

75 464

1%

67 6491%

56 262

1%49 4690%38 7970%31 4510%

10 831

0%

7 807

0%

6 061

0%

3 115

0%

2 423

0%

2 117

0%

548

0%

511

0%

10 108 822

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SUMMARY OF RESULTS BY REGULATORY EMISSIONS SOURCE
Categories

Direct emissions(scope 1)

Indirect emissions
related to energy(scope 2)

Other GHG emissions(scope 3)

N°

Regulatory emissions source

Emissions CO2e
(kgCO2e)-0%-

Source family%

1Direct emissions from fixed combustion sources

2
3

Direct emissions from mobile thermal combustion engine sources
Direct emissions from processes not related to energy consumption

-

0%
0%

-

4
5
6

Direct fugitive emissions
Emissions emanating from biomass (soil and forest)
Indirect emissions linked to electricity consumption

-

0%
0%

-

7 803

0%

HEADQUARTERS/OFFICES

7

Indirect emissions linked to steam, heat or refrigeration

-

0%

-

8

Emissions related to energy use not mentioned in sources 1 to 7

-

0%

9

Purchasing of goods or services

6 231 893

62%

10

Permanent office assets

875 500

9%

WAREHOUSES, RAW MATERIALS,
FACTORIESHEADQUARTERS/OFFICES

11
12

Waste
Upstream merchandise transportation

10 831
2 423

0%
0%

HEADQUARTERS/OFFICES

13
14

Employee travel expenses
Upstream leasing assets

-

0%
0%

-

1 034 181
-

10%
0%

HEADQUARTERS/OFFICES

559 784459 600

6%
5%

DISTRIBUTION

650 523-

6%
0%

END OF LIFE WASTE

0%
0%

-

2%

15
16
17

Investments
Visitor and customer transportation
Upstream merchandise transportation

18
19

Utilisation of sold products
End of life of sold products

20
21

Upstream franchising
Downstream leasing

22

Home-to-office commuting

31 451

23

Other indirect emissions

244 832TOTAL-

FREIGHTUSAGEHEADQUARTERS/OFFICESDIGITAL MEDIA SALES GOODIES POS,
HEADQUARTERS /OFFICES

10 108 822

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SUMMARY OF CARBON FOOTPRINT RESULTS BY PRODUCT CATEGORY
Percentage of emissions (kgCO2e) by category and sales volume (unit)
66%

68%

10,100tCO2e

Number of products distributed
CO2 emissions
20%

generated by Arturia’s
activities in 2019

15%
7%

Lab

Step

5%

Freak

4%

7%

Brutes

2%

4%

Fuse

0%

2%

Other

0%

0%

Accessories• Carbon emissions are more pronounced with product cateogories Lab, Brutes et Fuse as the amount of CO2e emitted is higher than the quantity distributed. Conversely,
product categories Step and Freak exhibit a markedly lower rate of carbon emissions.
• Thus, Lab products represented nearly 66% of company output in 2019-2020 corresponding to 68% of carbon emissions.

*Emissions comprise the following sources: raw materials, freight, factories, distribution, end of product life cycle

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2 RESULTS OF THE STUDYOVERALL RESULTS
DETAILED RESULTS

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DETAILED RESULTS 1/2

1

RAW
MATERIALS

Detailed view of raw materials

Raw materials (product components and packaging) account for 5,600 tCO2e, or 55% of the overall carbon assessment
These materials represent 84% of generated emissions (excluding distribution and usage)
Share of emissions linked to product-based raw materials* (%)

CO2e emissions rate by product composition (%)
Presence of raw material (forthe 44 products analysed)

3%
3%
4%

CO2 emissions

7%
41%

5%

41%

6%
24%

6%

20%

7%

13%

20%

8%

5%

7%

11%
6%

6%

5%

0%
Printed circuit

Integrated circuit

Aluminium

ABS

Steel

FlightCase

Connector

Potentiometer

PMMA

Other

Printed circuit

Integrated
circuit

4%0%

Aluminium

ABS

Steel

Fl ightCase

Connector

1%

3%

Potentiometer•« Printed circuit » components are responsible for the largest share (41%) of CO2 emissions. The second most notable source is « integrated circuit », followed by « Aluminium », ABS (Acrylonitrile Butadiene Styrene) and Steel.

•

Even if « Printed circuit» accounts for only 5% of the emissions generated by the 44 products analysed, this component represents 42% of all emissions, due to its carbon intensity. By comparison:•
Steel : 2,2 kgCO2e/kg•
ABS : 4,3 kgCO2e/kg•
Aluminium : 7,8 kgCO2e/kg•
Printed circuit: 357 kgCO2e/m2•Electronique : 1084 kgCO2e/kg•
Integrated circuit: 1 585 kgCO2e/kg*Data based on 45 product description sheets

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DETAILED RESULTS 2/2

RAW
MATERIALS

Aggregated view of raw materials

1

Raw materials (product components and packaging) account for 5,600 tCO2e, or 55% of the overall carbon assessment
These materials represent 84% of generated emissions (excluding distribution and utilisation)
Share of emissions linked to product-based raw materials* (%)

CO2e emissions rate by product composition (%)
Presence of raw materials (forthe 44 products analysed)

3%
6%

8%

CO2 emissions
71%

6%
7%

71%

Electronics

Aluminium

ABS

Steel

24%

PMMA

13%

8%

8%

Electronics

Aluminium

7%

6%
ABS

6%
Steel

3%

3%

PMMA

Other

•

Electronic components account for 71% of the emissions generated by the 44 products analysed, followed by Aluminium and finally ABS plastic.

•

The top three ranked raw materials account for 29% of the emissions linked to the 44 products studied; these three raw materials represent 84% of all emissions.

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DETAILED RESULTS

FACTORIES

3

Factory production represents 635 tCO2e or 6% of the overall carbon assessment

Data relative to precision tooling (Other
materials, energy/water consumption, waste
resulting from factory prodution, packaging fortransportation) were available for only 3 unitary
products.

Share of emissions linked to manufacturing sub-sources

11%

The averages of these ratios for the 3 products
and 5 emissions sub-sources were calculated so
as to apply them to the full range of products.
Emissionsrelatedtopackagingfortransportation are the first significant sub-source
and account for 42% of total emissions. Thiscan be explained in particular by the fact thatthe protective foam used exhibits a high carbon
intensity (in comparison to cardboard or PET).
The energy consuption required for the
manufacturing and assembly of products emits
as much CO2e as waste resulting fromproduction.
Finally, the other materials utilised account for
11% of total emissions from this source.

42%

22%

25%

Packaging for transportation
Waste resulting from production on factory premises
Energy consumption linked to production on factory premises
Other materials necessary for production on factory premises
Water consumption linked to production on factory premises
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DETAILED RESULTS

DISTRIBUTION

5Distribution of finished Arturia products (to storage facilities, intermediaries, retail outlets) accounts for 560 tCO2e or 6% of the carbon assessment
Share of emissions by distribution phase (%)

Share of emissions by distribution phase and by mode of transportation (%)
Prod uct weight x distance

44%

44%

Storage USA > Retail outlets USA

CO2 emissions

42%

30%

Storage France > Intermediary
31%

30%

Factories > Intermediary

8%

Factories > Retail outlets

7%

Factories > Storage France

6%

Factories > Storage USA

5%

12%
6%

8%
4%

5%

7%

6%

5%
0%

Storage USA >Storage
Factories >Factories >Retail outlets
France >Intermediary Retail outlets
USA
Intermediary

Factories >Storage
France0%

Factories > Storage USA >Storage USA Intermediary

Storage USA > Intermediary

By air0%
By seaBy road•Distribution (USA or France) to retail outlets, intermediaries which represent a ‘Weight x Distance total’ of 10%, accounts for 74% of the CO2e emissions. This is due to the privileging oftransportation by road which generates more emissions than by sea, for example.

•

Conversely, the transportation of goods between factories and storage depots, done exclusively by sea, generates a lower level of emissions, merely 11% of total emissions for a ‘Weight x Distance’
ratio, accounting for 73 % of overall emissions.

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DETAILED RESULTS

DISTRIBUTION

5Distribution of finished Arturia products (to storage facilities, intermediaries, retail outlets) accounts for 560 tCO2e or 6% of the carbon assessment
Share of emissions by mode of transportation (%)

Prod uct Weight x DistanceCO2e emissions

89%
78%

11%

13%

9%
0%

By road•By seaBy airRoutes of products transiting by air
OriginDestination

Weight x
Distance

Weight x
Distance(km)

CO2eemissions(KgCO2e)CO2eemissions
(%)

China

Bolivia8071

28%

14 04328%

China

Indonesia

3 446

12%

5 996

12%

FranceIceland

870

3%

1 514

3%

FranceIsrael7 801

27%

13 574

27%

FranceLebanon

7

0%

13

0%

France

Malta

108

0%

188

0%

FranceUnited Arab Emirates

8 126

29%

14 14029%

Arturia rarely has recourse to air transportation. Nonethless, if the ‘Weight x Distance’ ratio for the latter represents less than 1% of the total, emissions resulting from air freight still account for 9%of overall emissions, or 50 tCO2e.

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DETAILED RESULTS

PRODUCT
USAGE

6

Product usage by customers accounts for 460 tCO2e or 5% of the carbon assessment

Number of
products soldUtilisation
taken into
account

Hardware

Software

190 04278 481

Usage
consumption(Wh/unit)

Usage duration(h/yr)

Emissionsfactors

Product
Duration ofEnergy mix
consumption is usage based on proportionate tomeasured in customer survey each country
accordance with for 18 macro- where an article
products
SKU
is sold

Usage
consumption for
all products soldin 2019-2020(KWh/yr)

Carbonemissions in
kg CO2e• Computer energy consumption required forsoftware/hardware utilisation was not taken into
account. In fact, this value represents 250 kWh(ex : consumption of a desk-top computer)• Average consumption of Arturia hardware devices is
4,36 kWh (weighted average 1,2 kWh)

137 000 kWh

One single
emissions factor
was taken into
Duration of
Product
account on theusage based on
consumption isbasis of acustomer survey
weighted
1 005 800 kWhmeasured infor 18 macroaverage
accordance withproducts
SKU
between sales
volumes andenergy mixes foreach country

39 000
KgCO2e• Average consumption of Arturia software devices is15,3 kWh (weighted average 19,3 kWh)
• The correlation is 16 between the two weighted
averages corresponding to hard- and software
product energy consumption

420 800
KgCO2e• Duration of usage also has an impact, albeit
marginal, since software products are used for an
average of 664 hrs/yr, compared to an average of
544hrs/yr for hardware devices (weighted
averages)

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WASTE
RESULTING
FROM PRODUCTEND OF LIFE

DETAILED RESULTS

7

Waste resulting from product end of life accounts for 650 tCO2e or 6% of the carbon assessment
CO2 emissions rate by product composition (%)

Share of emissions linked to product-based raw materials* (%)

Quantity of materials used(for 44 products analysed)
CO2e emissions

4% 4%

61%

28%
28%

64%
13%

ABS

•
•

Wood

Electronics

20%

11%
5%

Plastic

24%

19%

Wood

3%

Pr inted circuit

1% 1%
Silicone

3%

1%

PM MA

2% 1%

1% 1%

EPE

Ca ble1%0% 1%

Ca rdboard

Rubber

1%
Steel

2%
Other

Other

Plastic is the material with the hightest concentration (64%) of CO2 emissions for this sub-source, with 61% imparted to ABS. The second highest concentration is that of wood, while the third is electronics. If electronics arecharacterised as a highly emissive material, they are less carbon intensive that other materials during final phase of product life cycle.
By comparison, note below the cargon intensities associated with the end-of-life of the most utilised materials:•
Steel : 0,043 kgCO2e/kg•
Cardboard : 0,067 kgCO2e/kg•
Plastic : 0,8 kgCO2e/kg•
Electronics : 1,1 kgCO2e/kg•
Wood : 5,11 kgCO2e/kg* Based on 45 product description sheets.

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DETAILED RESULTS

HEADQUARTERS/OFFICES& MEDIA/SALES/GOODIES/POS

A

B

Emissions related to headquarters/offices & media/sales/goodies/POS account for 2,205 tCO2e
or 21% of the carbon assessment
Share of emissions linked to sub-sources

Emissions related to supplier-related expenses
account for 47 % of all emissions, 40% for inoffice assets and 8% for advertising.

8%

3%

All in all, these 3 sub-souces represent 95% ofemissions related to Headquarters/Office &Media/Sales/Goodies/POS.
The 3 aforementioned sources will be the object of a
specific slide below.
The 6 following sub-sources: goodies,
employee home—to-work commuting, officegenerated waste, energy/water consumption,
POS and Advertising/Marketing paper, together
account for 110 tCO2e.

47%

40%

Supplier-related expenses (including business trips)
In-office assets
Advertising/ Digital marketing and usage
Goodies
Home-to-office commuting
Waste
Energy/water consumption
POS
Advertising /Marketing paper
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DETAILED RESULTS

HEADQUARTERS/OFFICES& MEDIA/SALES/GOODIES/POS

A

B

FOCUS ON SUPPLIER-RELATED EXPENSES

8%

These expenses mainly concern the following sectors: Consulting/Expertise, Business Support
programs and Transportation/Logistics whether the latter involve sampling or customer service (nottaken into account in the Distribution data addressed above) or business trips. Even if expenses doconcern Distribution (beyond Transportation/Logistics which accounts for 44% of emissions) the otherimpacted sectors are located within the downstream supply chain of Arturia’s own suppliers. For thisreason, we can note impacted sectors such as Energy or Chemistry among others mentioned below.

3%

47%

Consulting / Experts
Services support aux entreprises

40%

35%

2%

18%

Transportation/Logistics
Information / Communication
Commerce, negotiations
Machines and equipment
Banking, finance, insurance

Supplier-related expenses (including business trips)
In-office assets
Advertising/Digital marketing and usage
Goodies
Home-to-office commuting
WasterEnergy/water consumption
POS
Advertising/Marketing paper

37%

0%

Paper, cardboard
Chemistry

0%

3%
0%
2%
0%
1%
0%
0%
1%
0%

Energy0%Metallurgy

0%

Extractive activities

0%

Other

0%

44%

4%

Expense amount (%)
CO2e emssions (%)

13%
12%
10%
10%
8%
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DETAILED RESULTS

HEADQUARTERS/OFFICES& MEDIA/SALES/GOODIES/POS

A

B

FOCUS ON IN-OFFICE ASSETS

8%

3%

47%

The calculation of emissions linked to in-office assets take into account the depreciation period forthese apparati. Thus, for a computer purchased during the year-long study and for which thedepreciation period is estimated at 3 years, the emissions level of its entire life cycle will be divided by
3. Each year, a portion of these emissions must be accounted for in Arturia’s Carbon Assessment until
the asset cost has been absorbed. Whenever possible, physical data were measured, in the absenceof data relative to cost (indicated by a ratio in front of the product label). Machines, rubber andplastic materials et construction are the three types of object or material that emit the most in thisemissions source.

40%

46%

Supplier-related expenses (including business trips)
In-office assets
Advertising/ Digital marketing and usage
Goodies
Home-to-work commuting
Waste
Energy/water consumption
POS
Advertising /Marketing paper

23%
14%

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25

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DETAILED RESULTS

HEADQUARTERS/OFFICES& MEDIA/SALES/GOODIES/POS

A

B

FOCUS ON ADVERTISING/DIGITAL MARKETING AND DIGITAL USAGE
Emails dispatched to cliens and customers are the first emssions factor in this sub-source, followed bydigital banners and online videos.

8%3%All in all, more than 31 M emails were sent, amounting to an emissions total of 126 tCO2e.
Surprisingly, this represents the yearly carbon footprints of 12 French people.

47%

69%

40%

Supplier-related expenses (including business trips)
In-office assets
Advertising/Digital marketing and usage
Goodies
Home-to-office commuting
WasterEnergy/water consumption
POS
Advertising/Digital marketing and usage

18%
11%
3%

Email

Digital banners

Internet-posted
videosWebsite1%

Facebook site

CO2 emissions

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3 BENCHMARK DATA

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3

BENCHMARK OF CARBON FOOTPRINTS OF ELECTRONIC DEVICES
Comparative emissions by product (kgCO2e), Not including Arturia product use or end of life

539

409

300

185

158

136
82

ADEME Washingmachine 7
kg frontloading(LCA)

PolyBrute

ADEME - MacBook
Refrigerator Pro 13
250 Lit.
inches(LCA)

KeyLab88 ADEME MkIIClassical Hifi stereo
system(LCA)

iPad Air
(LCA)

70

61

54

54

53

44

iPhone 12
KeyLab KeyStep Pro ADEME - MicroFreak Fa irphone 2(LCA)
Essential 49
Television
40-49 inches
(LCA)

42

23

20

19

14

2

ADEME - MiniLa b MkII Focusrite MiniFuse 2 Focusrite V Collection
Monitor
Scarlett 2i2 Scarlett 2i2 9(LCA)
2nd Gen
3rd GenA report produced by28

4 APPENDICES

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4

GLOSSARY
Scope 1: direct emissions produced by stationary and mobile sources (ex: natural gas utilised in thermal power stations, heaters installed
on company premises or petrol used for company vehicles.
Scope 2: Indirect emissions linked to electricity consumption, or to heating or cooling systems (ex : electricity or heating purchases)
Scope 3: other indirect emissions (ex: emissions linked to purchased products or services, emissions associated with upstream or
downstream merchandise shipping, emissions linked to the utilisation of purchased products, etc).
Emissions factor (EF): refers to the ratio between the quantity of GHG emitted by an object or a material, as well as the characteristic value
attributed to the latter measured in the most convenient unit (weight, cost, etc.)
Carbon Assessment: A ‘carbon assessment’ aims to analyse the impact perimeter of a given activity in the most exhaustive manner
possible. Therefore, it is not sufficient to measure merely the flows generated by an entity, but rather to encompass the totality of theflows and effects upon which its activity depends (ex : concerning home-to-office commuting, the company cannot restrict such mobility.
Indeed, without these trajectories, employees and collaborators would not be able to work. Company activity is therefore dependent
upon these movements, which in turn justifies their being taken into consideration. Carbon assessment methodology was initiated in 2004.

The most recent update of the ADEME configuration is the 8.5.1. version which was used for the present study.

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FAQ
What is the difference between a carbon assessment and a LCA (life-cycle analysis)?
• An LCA establishes an inventory of flows from the ‘cradle to the grave’: from the extraction of energy-rich (or not) raw materials
necessary for product manufacuring, distribution, utilisation, recycling and elimination toward end-of-life channels. This processincludes all phases of transportation.
• In addition, an LCA calculates impact on other categories such as potential toxicity for humans and the environment, resource
depletion, use of land/space, acidification, etc.
• Following ISO 14040 norms, and LCA is the « compilation and evaluation of inputs, outputs, and of the potential environmental
impacts caused by product systems in the course of their life cycle. »Why is the study of scope 3 indirect emissions so crucial?
• Indirect emissions upstream and downstream from the company’s value chain (scope 3) are often not considered in impact evaluations.
• However, in most sectors, such emissions actually constitute the most substantial part of a company’s inventory (Ex : 90% of Sanofi’s
carbon footprint in 2018).
• A global view of the impact of such emssions on the supply chain enables a company to:à Evaluate where the emissions ’hot spots’ are located in its supply chain;à Identify the most efficient suppliers in terms of emissions management and control;à Engage and assist suppliers in the implementation of emissions reduction strategies.

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LIMITATIONS
The limitations of the present study

This study aims to analyse the magnitude of Arturia’s overall CO2 emissions, and is based on data provided by the company.
As with any carbon footprint evaluation, the calculations proposed here contain a margin of error which itself is dependent upon theinherent margins of error among the various emissions conversion factors mentioned in data bases (ADEME, Ecoinvent, Codde…), butalso upon fluctuations resulting from the necessity to associate different products for data collecting purposes.
Finally, a margin of error may be attributable to hypotheses used for emissions estimates.
This said, the methodology employed here has enabled Arturia to provide its first comprehensive carbon assessment.

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Antoine JOINT
Advisory Director
joint@utopies.com
David DOS SANTOS
Senior Consultant
dossantos@utopies.com

MERCI

25 RUE TITON 75011 PARIS • TEL +33 (0)1 40 29 43 00 • WWW.UTOPIES.COM

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