Udvalget for Digitalisering og It 2024-25
DIU Alm.del Bilag 45
Offentligt
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THE VALUE & BENEFITS OF
FUTURE-PROOF DIGITAL
INFRASTRUCTURE FOR
DENMARK
Client: DANSK ERHVERV
18 DECEMBER 2024
DIU, Alm.del - 2024-25 - Bilag 45: Socioøkonomisk analyse fra Dansk Erhverv om værdien af en fremtidssikret digital infrastruktur, udarbejdet af Copenhagen Economics
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AUTHORS
Tuomas Haanperä
Dr Bruno Basalisco
Neil Gallagher
Dr Gerdis Marquardt
Rodrigo Cipriano
Mads Thorkild Nissen
Jakob Nejsum
1
DIU, Alm.del - 2024-25 - Bilag 45: Socioøkonomisk analyse fra Dansk Erhverv om værdien af en fremtidssikret digital infrastruktur, udarbejdet af Copenhagen Economics
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PREFACE
Telecommunications infrastructure is the backbone of the digital economy, alongside other digital
infrastructure such as data centres, cloud services and software solutions.
In this report, we focus on telecommunications infrastructure as a fundamental enabler of the econ-
omy and society as a whole. Activities facilitated via telecommunications infrastructure are both
business-related
e.g., payment, e-commerce, and productivity software
and related to wider so-
cietal functions
e.g., e-health and e-governmental services, communications, and entertainment
.
Danish companies are among the best in the EU at integrating digital technology (ranked second in
2022) which allows them to take advantage of digital transformation. Around one quarter of enter-
prises had integrated AI and Big data in 2021
technologies which are likely to become even more
important in the future.
1
The pace of the technological evolution requires constant adaptation and upgrading of the telecom-
munications infrastructure. As reliance on digital systems grows, so does the need for resilient in-
frastructure capable of handling increasing data volumes, ensuring cybersecurity, and facilitating
seamless connectivity.
To ensure that Denmark and Europe remain at the forefront of cutting-edge digital technology, sig-
nificant continued investments in telecommunications infrastructure will be required. However,
there are concerns that the telecommunications sector in Europe and in Denmark may face chal-
lenges in ensuring sufficient financial incentives to support future investments.
In light of this, Dansk Erhverv has commissioned Copenhagen Economics to conduct a research
study to i) investigate the value of the telecommunications sector and its continued infrastructure
investment to the economy and society at as a whole, ii) to examine the potential need for further
investment to ensure futureproof digital infrastructure and the associated socio-economic value and
iii) to discuss the policy framework that can support continued investment.
1
European Commission (2023), Digital Economy and Society Index (2022)
Denmark (link)
2
DIU, Alm.del - 2024-25 - Bilag 45: Socioøkonomisk analyse fra Dansk Erhverv om værdien af en fremtidssikret digital infrastruktur, udarbejdet af Copenhagen Economics
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TABLE OF CONTENTS
Preface
Executive summary
1
2
5
Investment in digital infrastructure has supported
Denmark’s economic performance
12
The telecommunications sector contributed DKK
45.1 billion to the Danish economy in 2023
12
The sector invested DKK 85 billion from 2014 to
2023
Denmark is at the forefront of digitisation
compared to other European countries
1.1
1.2
18
1.3
20
2
Advanced digital infrastructure has far-reaching
socio-economic benefits
22
Digital infrastructure drives economic growth by
boosting productivity across the economy
22
Infrastructure investments enable the green
transition by reducing CO2 emissions
Investments are required for keeping digital
infrastructure resilient and safe against cyber-
attacks
2.1
2.2
26
2.3
30
3
Continued investments are needed to make
digital infrastructure futureproof and deliver further
benefits
35
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3.1
Substantial investments are needed to keep up
with connectivity targets, demand, and
technological developments
35
Continued investments are required to keep
delivering value and socio-economic benefits
Challenges to continued investment
3.2
38
43
4
4.1
Challenges that may weaken the sector’s ability
and incentive to invest
43
Policy instruments that affect the sector’s ability
and incentive to invest
48
References
Appendix
55
60
4.2
5
A
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DIU, Alm.del - 2024-25 - Bilag 45: Socioøkonomisk analyse fra Dansk Erhverv om værdien af en fremtidssikret digital infrastruktur, udarbejdet af Copenhagen Economics
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EXECUTIVE SUMMARY
Telecommunications infrastructure is the backbone of the digital economy. Advanced network tech-
nologies that support high capacity, security and resilience have brought and will continue to bring
substantial benefits to Danish consumers and businesses. While Denmark currently fares well in
international comparisons regarding the rollout and take-up of high-speed fixed and mobile con-
nectivity, more remains to be done as the sector undergoes important transformation. The recent
Draghi report on EU competitiveness has singled out the telecommunications sector among key
economic areas worthy of policy attention and consideration, so that Europe can improve its com-
petitiveness. EU-level but also national policymakers need to consider how best to fine-tune policy
conditions to empower further competitiveness in this sector and thus achieve enhanced and fu-
ture-proof digital infrastructure.
Considering this, in this study we assess firstly the economic contribution supported by the opera-
tions and investments of the telecommunications sector to the Danish economy. Secondly, we in-
vestigate how the well-developed digital infrastructure enables wider socio-economic benefits for
the Danish economy and society. Thirdly, we examine why further investments are required and as-
sess how continued development of the digital infrastructure will continue to enable wider benefits
for the economy and society as a whole. Lastly, we discuss how policymakers can support continued
investment while achieving other policy objectives to ensure that future benefits materialise.
At a glance: Key Insights from the study
The telecommunications sector plays a vital role in the functioning of society and its
economic contribution amounts to 1.6 per cent of GDP
In 2023, the telecommunications sector contributed
DKK 45.1 billion
to the Danish economy
through its operations and investments. This corresponds to around 1.6 per cent of Danish GDP,
equivalent to DKK 7,600 per Danish citizen. This contribution includes direct effects, representing
the gross value added generated by the sector's own activities, and additional economic activity
stimulated throughout the supply chain, reflected in a multiplier of 1.6 for every unit of direct con-
tribution. The telecommunications
sector’s supported a total of
41,600 jobs
in Denmark, includ-
ing 13,000 within the sector itself.
In addition, futureproof digital infrastructure has an enabling function and supports economic
growth by boosting productivity. We estimate that digital infrastructure enabled economic gains
in
a range of 11 to 17 billion in GDP
annually between 2014 and 2023, equivalent to up to DKK
2,800 per citizen, through increased download speeds and broadband adoption.
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The telecommunications sector generates wider socio-economic benefits by enabling the
green transition and mitigating potentially substantial costs related to cyber break-
down
Futureproof digital infrastructure contributes to the green transition by i) lowering CO2 emissions
from the network and ii) enabling the use of advanced, more energy efficient technology across the
economy and society. From 2019 to 2023, CO2 emissions from network electricity consumption de-
creased by 36 per cent. While some part of this is attributable to the decrease in the CO2 intensity of
electricity in Denmark,
31 percentage points of this decrease in CO2 emissions since 2019
are attributable to the increased energy efficiency of the network
compared to a scenario
where the network’s energy efficiency had stopped improving in 2019.
Digital infrastructure in Denmark, similar to the rest of Europe and the world, faces significant
cyber threats. To lower the risk of cyberattacks and network breakdowns, the sector engages and
invests in many activities. This in turn
diminishes the likelihood of disruptions which un-
doubtedly would be associated with substantially large costs to Danish businesses, the
economy and society at large.
Continued investments are needed to make digital infrastructure futureproof
Several developments are underway which impose new and higher requirements for telecommuni-
cations networks in the future. (1) There is a continued
need for the deployment and upgrad-
ing of fibre and mobile networks.
Further upgrading of the networks are required to meet (2)
increasing data needs
and (3) to fulfil high requirements for telecommunications infrastructure
in terms of capacity, latency, resilience and security due to
innovative technologies,
such as AI
and quantum computing. Advanced telecommunications networks also (4) contribute to supporting
the
green transition,
whilst simultaneously (5) ensuring network
resilience
and (6) mitigating
growing
threats to cyber security and digital fraud.
At the same time, we observe that invest-
ment levels have decreased by 11 per cent since 2021 (controlling for inflation) and returns are mod-
est. Furthermore, historic structural challenges continue to affect this sector in Denmark as Danish
mobile operators serve on average fewer customers than the EU average.
Operators in Denmark may face challenges that weaken their ability and incentive to
invest
Administrative barriers, low return on investments in digital infrastructure and lack of scale may
challenge the attraction of sufficient investment. Policymakers and regulators can promote contin-
ued investments by streamlining and speeding up currently burdensome and lengthy
permitting
processes
at the local government level. Different forms of
collaboration and consolidation
can enable operators to pool their resources to invest in upgrading existing and building new net-
works more cost effectively. While authorities will assess each collaborative arrangement on their
merits, competition enforcement recognises that reaping the economies of scale can be critical for
faster and more extensive roll-out of network investments to the benefit of consumers.
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In Detail: Chapter-by-Chapter Insights
Investment in digital infrastructure has
supported Denmark’s economic
performance
As we explain in Chapter 1, we find, based on an input-output model, that the telecommunications
sector contributed DKK 45.1 billion in 2023 to the Danish economy, corresponding to almost 1.6 per
cent of total Danish GDP or DKK 7,600 per Danish citizen, through i) its operations and ii) its in-
vestments. In comparison, we estimate using a similar methodology that the operations of the Dan-
ish agriculture sector contributed DKK 46.6 billion to the Danish economy.
The telecommunications sector's operations contributed DKK 38.6 billion to the Danish
economy in 2023 and supported 32,300 jobs. This captures the immediate impact of the
industry’s operations, such as the value
added from its activities and the jobs it directly
creates (direct effect) as well as additional value added and employment generated
through its supply chain via the sector’s demand for goods and services from other sectors
(indirect effect).
The telecommunications sector’s investments
(i.e. which amounted to DKK 10.5 billion in
2023) contributed an additional DKK 6.5 billion to the Danish economy and supported
9,300 jobs (direct and indirect effect).
Over the last 10 years, the telecommunications sector has invested DKK 85 billion to improve Den-
mark’s digital infrastructure
and investments as a share of revenue have grown 7.5 percentage
points from 15.6 per cent in 2014 to 23.1 per cent in 2023.
These efforts by the sector have put Denmark at the forefront of digitisation compared to other Eu-
ropean countries. Denmark is leading in 5G coverage with 100 per cent 5G coverage in 2023 relative
to the EU average of 79 per cent
although further investments
will be required to deliver ‘full’ /
‘stand-alone’ 5G across Denmark. Denmark is also among the top three European countries regard-
ing Fixed Very High Capacity Network (i.e. optical-fibre network or equivalent in terms of perfor-
mance) with 97 per cent total coverage and 91 per cent in rural areas. This is to the benefit of Danish
citizens and businesses.
Advanced digital infrastructure has far-reaching socio-economic bene-
fits
As we demonstrate in Chapter 2, beyond its technological importance, future-proof digital infra-
structure delivers significant socio-economic benefits and is critical to achieving key policy objec-
tives in three areas: 1) supporting GDP growth by boosting productivity, 2) promoting the green
transition, and 3) enhancing IT security as well as ensuring resilience and security of supply.
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Advancements in digital infrastructure support
GDP growth.
High-quality digital infrastructure is
essential for businesses, research facilities, public authorities etc. to adopt digital technologies that
contribute to more efficient business processes, technological progress and innovation and thereby
to boost productivity across the economy. Based on estimates from existing studies scaled to the
Danish context, we estimate that digital infrastructure enabled economic gains of between DKK
10.8 and 16.8 billion in GDP each year between 2014 and 2023, equivalent to DKK 1,800 to 2,800
per Danish citizen each year. We estimate this GDP contribution by considering the impact of two
cumulative measures of advancement in digital infrastructure discussed in the academic literature,
i.e. the impact of fixed broadband download speed and the impact of broadband adoption.
Infrastructure investments also advance the
green transition
and thereby
EU’s environmental tar-
gets. First, we find that continued investments in digital infrastructure led to improved energy effi-
ciency of the mobile and fixed broadband network in Denmark. Since 2019, the energy intensity of
the mobile and fixed broadband network has declined by 33 per cent, from 12 to 8.1 MWh of elec-
tricity per PB of data in 2023. We estimate, based on the network’s electricity consumption, that
CO2 emissions from network electricity consumption decreased by 36 per cent, of which 31 percent-
age points are attributable to increased energy efficiency compared to a scenario where the net-
work’s energy efficiency had stopped improving in 2019. Second, we describe how advancements in
digital infrastructure could enable up to 15 per cent emission reductions in other sectors, for in-
stance through the development of smart grids in the energy and utility sector, or data sharing and
route optimisation in transports.
According to the Centre for Cybersecurity, Denmark faces a high to very high threat regarding cyber
espionage, cyber activism and cyber-crime. How well the telecommunications sector can mitigate
cyber threats
and
ensure network resilience
has far reaching consequences across all sectors and
for all citizens and businesses using digital infrastructure. As the reliance on digital infrastructure
grows, the costs associated with a potential network break-down for whole regions or a cyber-attack
can be large and are likely to be even larger in the future. Some studies attempt to provide an indi-
cation of the magnitude of the potential costs associated with a breakdown in digital infrastructure.
A widely referenced report from the analysis company Gartner in 2014, for example, reports that
large companies face costs of USD 5,600 per minute of unplanned downtimes and small companies
between USD 137
427 per minute.
2
This corresponds to DKK 2.3 million per hour for large compa-
nies and DKK 57,000
177,000 per hour for smaller companies (not adjusted for inflation). As an
illustrative example, this per minute cost range for small and large companies suggests that it could
cost Danish companies as much as DKK 3.5 to 6.5 billion per hour
3
if digital infrastructure breaks
down and companies experience downtime - these are high-level, exploratory estimates that come
with a margin of uncertainty and do not constitute a full-fledged model of the economy. To mitigate
cyber threats, the sector invests in making networks safe and comply with national security regula-
tions, e.g., by upgrading designated infrastructure assets to vendors compatible with Danish regula-
tions, which involves significant additional costs. The sector also invests in network resilience to
minimise downtime and to reduce cyber-crime at user level.
2
3
Forbes (2022), How to Guard Against The Cost Of Unplanned Downtime And Network Outages (link) and Pingdom (2023),
Average Cost of Downtime per Industry (link).
We extrapolate the per minute cost linearly to estimate the cost per hour. However, the true cost might be decreasing with
time as companies adjust operations.
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Continued investments are needed to make digital infrastructure future-
proof and deliver further benefits
As we examine in Chapter 3, despite high 5G coverage and Fixed Very High Capacity Network pene-
tration in Denmark, continued investments are needed to improve capacity and handle increasing
demand for digital services, keep up with technological developments, and meet increasing security
requirements and legislation.
If market and policy conditions are such that future investments would stay at similar levels as real-
ised in 2019-2023, we estimate that investment will support DKK 5.6 billion to GDP and 8,000 jobs
annually in direct and indirect effects until 2030. In addition, as an example of how investments
lead to better infrastructure which ultimately supports GDP, we estimate the effect of further in-
creases in download speeds on GDP. We find that further increases
in Denmark’s already high
download speeds could contribute 0.10 to 0.18 per cent to GDP annually until 2030, equivalent to
between DKK 2.9 and 5.0 billion in GDP contribution. Finally, we estimate that from 2023 to 2030,
CO2 emissions from
the network’s
electricity consumption could decrease by a further 83 to 89 per
cent. Of this total potential reduction, 17 to 24 percentage points could be attributable to further im-
provements in the network’s
energy efficiency.
These benefits will only materialise when the sector has the ability and incentives for further sub-
stantial investments, which necessitates a policy and regulatory framework that ensures incentives
to invest by allowing sufficient returns that are commensurate with the risks involved. However, in
Denmark, similarly to the rest of Europe, there may be potential barriers to sustained levels of in-
vestment.
There may be challenges to continued investment
As we discuss in Chapter 4, the policy debate and current market conditions suggest two main chal-
lenges potentially hindering future investments.
Long, complex and burdensome administrative procedures
may weaken operators’ ability
and incentive to invest in digital infrastructure. Operators face two significant issues in de-
ploying network infrastructure such as masts, towers or ducts.
First,
there are significant
restrictions associated with municipal plans and rules to deploy infrastructure, and rules
can vary significantly between municipalities, making compliance burdensome.
Second,
municipalities often lack the resources to expedite permitting and the approval processes
are lengthy, taking up to 11 months.
Recent financial performance of operators in the EU and Denmark is indicative of con-
cerns over insufficient returns to support future investments.
There is a concern that the
recent and expected low returns on investments stem from a lack of sufficient scale. While
case-specific considerations are required, there are sound economic reasons to enable
forms of collaboration that have limited impact on competition while allowing operators to
spread fixed costs over a sufficient number of users to leverage economies of scale.
Policymakers and regulators can make use of various tools to support
operators’ ability and incen-
tive to invest in digital infrastructure. In doing so, they seek to strike the right balance between sup-
porting investments while achieving other policy objectives and protecting competition:
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Policymakers should consider how administrative and financial constraints are day-in and
day-out
impacting operators’ ability to
make timely investments in digital infrastructure.
Streamlining lengthy and cumbersome permitting processes at the local government level
is very impactful for the telecoms sector and should deserve special attention. The entry
into force of the Gigabit Infrastructure Act (GIA) is an opportunity to review the Danish
legislation and improve conditions for investment.
There are sound economic reasons to enable forms of collaboration that have limited im-
pact on competition while allowing operators to spread fixed costs over a sufficient num-
ber of users to leverage economies of scale. Operators can benefit from improved econo-
mies of scale through co-investments, network-sharing agreements and mergers. Competi-
tion authorities have a central role in determining boundaries to forms of collaboration
that are conducive to network investments while preserving competition. While competi-
tion authorities will continue to scrutinise proposed consolidations and collaborative
agreements on their merits, there is a growing policy impetus in Europe towards a more
thorough consideration of investment-related benefits:
o
First,
competition authorities can consider whether and how the full suite of po-
tential efficiencies manifested through enhanced network investments and higher
quality are balanced against any competitive effects of collaborative agreements
or consolidation. The authorities face a balancing act whereby, for example, an
assessment of investment (and hence quality) related benefits may warrant con-
sidering a longer time horizon than short-term competitive effects.
Second,
where relevant, the commitments required to approve mergers, or other
agreements should be those required to mitigate potential harm to consumers.
Depending on case-specific circumstances, authorities can consider whether
structural remedies reduce the benefits of consolidation and whether behavioural
remedies
e.g. investment commitments or pricing remedies - may be appropri-
ate and sufficient to safeguard competition whilst supporting investment incen-
tives.
o
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CHAPTER 1
INVESTMENT IN DIGITAL INFRASTRUCTURE
HAS SUPPORTED DENMARK’S
ECONOMIC
PERFORMANCE
Digital infrastructure supports an increasing part of the functions and activity in society, thus ena-
bling digital communication, payment, streaming, and other digital services.
4
High investments by
the telecommunications sector have ensured that Denmark is one of the leaders in terms of digita-
tion.
In this chapter, we analyse firstly the economic contribution of the telecommunication sector in
terms of GDP and employment supported via its operations and investments throughout the econ-
omy. We find that the sector supported DKK 45.1 billion to the Danish economy in 2023 and 41,600
jobs in Denmark (Section 1.1). Secondly, we show that the sector invested DKK 10.5 billion in 2023
and DKK 85 billion in total from 2014 to 2023. These investments stay primarily in Denmark and
support blue collar jobs in the construction sector (Section 1.2). Thirdly, we discuss how the efforts
made by the sector have put Denmark at the forefront of digitation compared to other European
countries to the benefit of Danish citizens and businesses (Section 1.3).
1.1
The telecommunications sector contributed DKK 45.1
billion to the Danish economy in 2023
In this section, we examine the economic contribution of the telecommunication sector in 2023
based on input-output modelling and publicly available data. We find based on input-output model-
ling that the sector contributed DKK 45.1 billion to the Danish economy in 2023, which corresponds
to around 1.6 per cent of Danish GDP, DKK 7,600 per citizen in Denmark in 2023, and is more than
the cost of the Great Belt Bridge (DKK 43.7 billion in 2023 prices).
5
Of this total, DKK 38.6 billion in GDP contribution (accounting for direct and indirect effects) is
supported through
the telecommunication sector’s
operations (see Section 1.1.1). In comparison, we
estimate, using a similar methodology, that the operations of the Danish agriculture sector (ac-
counting for direct and indirect effects) contributed DKK 46.6 billion to the Danish economy. In ad-
dition, the telecommunication sector’s investment
(accounting for direct and indirect effects) con-
tributed another DKK 6.5 billion (see Section 1.1.2), see Figure
1.
4
5
See e.g. Tænketanken for Digital Infrastruktur (link).
We adjust the cost of DKK 21.4 billion in 1988 prices (see Storebælt, Om Storebælt (link)) to 2023 prices using Danish CPI
(see Statistics Denmark, Pris112 (link)).
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Figure 1
National economic contribution supported by the telecommunications sector
through operations and investments in 2023
Billion DKK, 2023
45.1
6.5
38.6
Operations
Investments
Total
Note:
Source:
The figure includes the direct and indirect effects we estimate in Sections 1.1 and 1.2. See Appendix A for
an overview of the methodology behind the two elements.
Copenhagen Economics based on Statistics Denmark, Input-output (link) and Klimadatastyrelsen,
Økonomiske Nøgletal for Telebranchen 2023 (link).
1.1.1 The operations of the telecommunications sector contributed
DKK 38.6 billion to the Danish Economy in 2023
In this section, we estimate the economic contribution of the telecommunications sector’s
opera-
tions and find that in 2023 the sector contributed DKK 38.6 billion to the Danish economy.
To estimate the economic contribution, we employ an input-output model based on the latest avail-
able input-output tables from Statistics Denmark.
6
These tables provide insights into how each sec-
tor of the economy procures goods and services from the rest of the economy and demonstrate how
the output of one industry impacts other industries and the overall economy. Using this model, we
estimate the telecommunications
sector’s impact on GDP and employment.
The sector contributes
to the economy through profits, product taxes, salaries, and purchases of intermediary goods and
services from other domestic companies. Thus, this captures the economic contribution through the
entire value chain of the sector
except for the effect of investments, which we cover separately in
Section 1.2.
When estimating the economic contribution, we distinguish between the direct, indirect, and in-
duced effects:
Direct effects
refer to the immediate impact of the telecommunications sector, such as
value added through its activities and the jobs it directly creates.
Indirect effects
capture the ripple effects of the sector’s demand for goods and services
from other sectors. This includes the additional value added and employment generated
through its supply chain.
Induced effects
measure the additional economic activity generated by employees in the
telecommunications sector and its supply chain, spending their wages on goods and
6
Statistics Denmark, Input-output (link).
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services. This consumption drives further demand and supports additional jobs in the
broader economy.
7
We find that in 2023 the telecommunications sector’s
operations
contributed DKK 38.6 billion to
the Danish economy. This corresponds to almost 1.4 per cent of total Danish GDP in 2023 or
around DKK 6,500 per Danish citizen.
8
The sector contributed DKK 24.8 billion directly and DKK
13.8 billion indirectly, see Figure
2,
which implies a multiplier of 1.6 for every unit of direct eco-
nomic contribution in the broader economy. In addition, the sector supported a further DKK 12.3
billion in induced effect in 2023.
Figure 2
National economic contribution supported by the telecommunications sector
through its operations in 2023
Billion DKK, 2023 prices
38.6
13.8
12.3
24.8
Direct
Indirect
Total
Induced
Note:
Source:
We have adjusted results by inflation to get results in 2023 prices instead of 2022 prices. Find a complete
description of the methodology in Appendix A.
Copenhagen Economics based on Statistics Denmark, Input-output (link).
Similarly, we find that the telecommunications sector supported Danish employment with 32,200
jobs in 2023, see Figure
3.
This corresponds to 1 per cent of total Danish employment in 2023.
9
Of
the 32,300 jobs, 13,000 were supported directly by the telecommunications sector (direct effect),
while 19,200 jobs were supported through purchases from other Danish companies (indirect effect).
Furthermore, we estimate that the telecommunications sector supported an additional 14,200 jobs
through induced effects.
7
8
9
We assess the induced effects separately and do not include them in the total economic contribution since these effects are
generated through the consumption of wages. Employees in the telecommunications sector and its supply chain would
eventually find other jobs if the sector where to vanish because individual companies or even industries do not affect the
‘structural employment’ level. Thus,
while these effects are important, they
cannot be attributed to the sector’s presence in
the same way as the direct and indirect effects.
Based on a GDP of DKK 2,805 billion, see Statistics Denmark (link), and on a population of 5,961,249 in ultimo 2023, see
January 2024 in Statistics Denmark, Befolkningstal (link).
Based on employment of 3,000,600 persons in August 2023, see Beskæftigelsesministeriet (2023), Aldrig set før
3
millioner i beskæftigelse (link).
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Figure 3
Danish employment supported by the telecommunications sector through its opera-
tions in 2023
Thousand FTEs
14.2
32.3
19.2
13.0
Direct
Indirect
Total
Induced
Note:
Source:
The sum of the direct (13,000) and the indirect (19,200) does not add up to the total (32,300) in the figure
due to rounding of the two. Find a description of the methodology in Appendix A.
Copenhagen Economics based on Statistics Denmark, Input-output (link).
The indirect value supported by the telecommunications sector’s
operations
is centred around a few
specific industries that provide most of the goods and services the telecommunications sector relies
on. We find that the impact was largest in the information and communications sector, which ac-
counts for 22 per cent of the indirect GDP contribution, see Figure
4.
This was followed by profes-
sional service activities (15 per cent), wholesale and retail (12 per cent), construction (10 per cent),
and real estate activities (7 per cent).
The picture is fairly similar for employment except that the effect is largest in the wholesale and re-
tail sector with 19 per cent, see Figure
4.
These differences can be explained by the different labour
intensity across these sectors such that a million DKK in revenue does not support an equal number
of jobs in each sector.
15
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Figure 4
GDP and employment supported by the telecommunications sector through its opera-
tions across key sectors
Per cent of indirect GDP contribution and employment supported
35
GDP
Employment
33
22
17
15
15
12
19
10
11
7
3
Information and
communication
Professional,
scientific, and
technical
service activities
Wholesale and
retail trade
Construction
Real estate
activities
Other
Note:
Source:
We are using OECD’s sector classifications.
Information and communication include the following sectors:
Publishing; IT and other information services (sector codes 58-60 and 62-63). Professional service activities
include the following sectors: Legal, accounting, management, architecture, engineering, technical test-
ing and analysis activities; Scientific research and development; Other professional, scientific and tech-
nical activities (sector codes 69-75). Wholesale and retail include: wholesale; retail (sector codes 45-47).
Construction include: Construction (sector codes 41-43). Real estate activities include: Real estate activi-
ties (sector code 68). The remaining sectors are included in Other.
Copenhagen Economics based on Statistics Denmark, Input-output (link).
1.1.2 The investments made by the telecommunications sector
supported an additional DKK 6.5 billion to the Danish economy in
2023
Employing the input-output model we can also estimate the economic contribution of investments
made by the telecommunications sector in addition to the footprint of the sector’s operations, cov-
ered in Section 1.1.1. Investments contribute to the Danish economy as they constitute purchases of
goods and services from the sectors that receive the investments
here that is mainly construction
companies, see Figure
8.
Concretely, we estimate that the investments of DKK 10.5 billion made by the telecommunications
sector in 2023 contributed to the Danish economy with DKK 6.5 billion, see Figure
5.
This is equiv-
alent to 0.2 per cent of GDP or DKK 1,100 per citizen in Denmark.
10
Of this total contribution, DKK
3.1 billion comes from indirect effects, nearly matching the direct contribution of DKK 3.4 billion,
resulting in a multiplier of 1.9. This means that for every unit of direct contribution, a similar addi-
tional amount is generated in the broader economy. Additionally, we estimate that the investments
contributed to the Danish economy with DKK 3.4 billion in induced effects
this is the economic
activity supported by the consumer expenditure linked to workers’ earnings across the telecommu-
nications value chain.
10
Based on a GDP of DKK 2,805 billion, see Statistics Denmark (link), and on a population of 5,961,249 in ultimo 2023, see
January 2024 in Danmarks Statistik, Befolkningstal (link).
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Figure 5
Contribution to the Danish economy via investments made by the telecommunica-
tions sector in 2023
Billion DKK, 2023 prices
3.4
6.5
3.1
3.4
Direct
Indirect
Total
Induced
Note:
Source:
We have used data from Klimadatastyrelsen on the total investments in 2023 by the telecommunications
sector and data from IO-tables in the period 2015-2019 from Statistics Denmark to calculate a split be-
tween sectors receiving these investments and splitting them into foreign and domestic investments. We
used the calculated domestic investments per sector to estimate impact using multipliers calculated using
the newest IO table from 2023, find a description of the methodology in Appendix A.
Copenhagen Economics based on Statistics Denmark, Input-output (link) and Klimadatastyrelsen,
Økonomiske Nøgletal for Telebranchen 2023 (link).
We estimate the impact of investments by calculating ‘revenue-multipliers’
for all sectors that re-
ceive investments from the telecommunications sector. These multipliers express the effects on di-
rect, indirect, and induced GDP contribution and employment per DKK in revenue. For example,
we find that the direct and indirect revenue multipliers of the construction sector are 0.32 and 0.31,
respectively. Based on this, we estimate that a DKK 1 billion investment from the telecommunica-
tions sector in construction yields DKK 0.32 billion and DKK 0.31 billion in direct and indirect GDP
contribution, respectively. Direct multipliers capture profits, product taxes, and salaries in the rele-
vant sector. Indirect multipliers capture purchases of intermediary goods and services from
domes-
tic
companies. Imports of goods and services are not included, since they do not add to
Danish
GDP.
11
In terms of employment, we find that the investments made by the telecommunications sector in
2023 supported Danish employment with 9,300 jobs (direct and indirect effect), see Figure
6.
Addi-
tionally, we find that a further 3,600 jobs were supported by the investment accounting for induced
effects.
11
See Appendix A for a complete description of the methodology.
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Figure 6
Danish employment supported by investments made by the telecommunications sec-
tor in 2023
Thousand FTEs
3.6
9.3
4.0
5.3
Direct
Indirect
Total
Induced
Note:
Source:
We have used data from Klimadatastyrelsen on the total investments in 2023 by the telecommunications
sector and data from IO-tables in the period 2015-2019 from Statistics Denmark to calculate a split be-
tween sectors receiving these investments and splitting them into foreign and domestic investments. We
used the calculated domestic investments per sector to estimate impact using multipliers calculated using
the newest IO table from 2023, find a description of the methodology in Appendix A.
Copenhagen Economics based on Statistics Denmark, Input-output (link) and Klimadatastyrelsen,
Økonomiske Nøgletal for Telebranchen 2023 (link).
1.2
The sector invested DKK 85 billion from 2014 to 2023
We find that the telecommunications sector has invested DKK 85 billion from 2014 to 2023 in nom-
inal terms.
12
Annual investments have grown 44 per cent from 2013 to 2023 when controlling for
inflation, see the left panel of Figure
7.
In the same period, investment as a share of revenue has
grown from 16 per cent in 2014 to 23 per cent in 2023, which illustrates that the sector has in-
creased the focus on investments, see the right panel of Figure
7.
However, we also note that invest-
ment levels peaked in 2021 at DKK 10.1 billion and have decreased by 11 per cent since then to DKK
9 billion in 2023. Similarly, investments as share of revenue have decreased from 25 per cent in
2021 and 2022 to 23 per cent in 2023.
12
Klimadatastyrelsen, Økonomiske Nøgletal for Telebranchen 2023 (link). Note this is in nominal terms and thus does not
match the sum of investments in real terms in Figure
7.
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Figure 7
Investments by the telecommunications
sector
Billion DKK, real prices
-11%
+44%
7.2
8.3
9.9 10.1
9.7
Investments by the telecommunications
sector as a share of sector revenues
Per cent of revenue
9.0
16
17
17
19
18
20
24
25
25
23
6.3
6.7
6.6
6.9
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
Note:
Source:
Since we consider real prices in the left panel, investments sum to less than DKK 85 billion which is in nomi-
nal terms.
Klimadatastyrelsen, Økonomiske Nøgletal for Telebranchen 2023 (link).
The investments made by the telecommunications sector particularly support blue collar jobs in
Denmark. We find that 89 per cent of the investments flow into the construction sector,
13
see the
first panel of Figure
8,
and stay with 93 per cent within Denmark, see the second panel of Figure
8.
Figure 8
Average share of investment by the tele-
communications sector going to con-
struction vs. other industries
Per cent, 2015-2019
Average share of investments made by
the telecommunications sector going to
domestic companies vs. import
Per cent, 2015-2019
11%
Construction
Other
7%
Domestic companies
Imports
89%
93%
Note:
Source:
The numbers are based on first-order purchases only. We have calculated the shares using Input-output
investment tables from 2015 to 2019. We have calculated the total investments into each sector in the
period and calculated the shares using the total investments.
Copenhagen Economics based on Statistics Denmark, Input-output (link).
13
Construction includes general and specialised construction activities for buildings and civil engineering works. It includes
new work, repair, additions and alterations, the erection of prefabricated structures and constructions of a temporary na-
ture, see Eurostat (2008), NACE Rev.2 - Statistical classification of economic activities in the European Community (link).
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1.3
Denmark is at the forefront of digitisation compared to
other European countries
In this section, we discuss how advanced Denmark is in terms of 5G and Very High Capacity Net-
works (VHCN). VHCN refers to an optical-fibre network connection, or a connection that is equiva-
lent in terms of performance.
14
We find that high levels of investment by the telecommunications
sector have positioned Denmark as one of the most digitalised countries in Europe.
In Denmark, both urban and rural populations benefit from advanced digital infrastructure. This is
reflected in Denmark’s coverage of VHCN, which stands at 97 per cent —
the third highest in Eu-
rope
and is well above the EU average of 79 per cent, see Figure
9.
Also in rural areas, Denmark
ranks third with 91 per cent coverage, exceeding the EU average 56 per cent in rural regions.
15
Figure 9
Very High Capacity Network coverage
Per cent of households, 2023
100
80
60
97
79
40
20
0
MT
NL
DK
ES
BE
RO
LU
PT
BG
SE
IE
HU
FR
PL
EU
SI
LT
FI
CY
EE
DE
LV
SK
HR
AT
IT
CZ
GR
Note:
Source:
Very High Capacity Network refers to an optical-fibre network connection or a connection that is equiva-
lent in terms of performance to what is achievable by an optical fibre installation.
16
Copenhagen Economics based on Eurostat, Broadband internet coverage by technology (link).
Denmark also ranks top in Europe regarding 5G coverage, sharing the highest position with three
other countries at 100 per cent, while the EU average is at 89 per cent, see Figure
10.
However, we
note this
is not yet ‘Full’ or ‘Stand-alone’ 5G
in all networks across the country since most 5G net-
works rely on 4G core, which does not fully support
‘next-generation’ capabilities.
17
Also the fibre
network is not yet at full coverage and further upgrades are needed e.g. to ensure sufficient capacity
and security of the network, see further discussion in Section 3.1.
14
15
16
17
See e.g. Thomson Reuters, Practical Law
Glossary (link).
Eurostat, Broadband internet coverage by technology (link).
Thomson Reuters, Practical Law
Glossary (link).
See e.g. p. 98 in ETNO (2024), State of Digital Communications 2024 (link).
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Figure 10
5G coverage
Per cent of households, 2023
100
80
60
100
89
40
20
0
DK
NL
MT
CY
LU
IT
LT
FI
PT
GR
DE
AT
CZ
FR
ES
SE
EU
EE
IE
HU
HR
SI
SK
PL
BG
LV
BE
RO
Note:
Source:
The Netherlands, Malta, and Cyprus also has a coverage of 100 per cent.
Copenhagen Economics based on Eurostat, Broadband internet coverage by technology (link).
Both individuals and companies in Denmark gain from the high degree of digitalisation. For
indi-
viduals,
Denmark’s high level of digitalisation brings convenience and efficiency. Citizens benefit
from innovative digital solutions like NemID/MitID, which allow secure access to public services,
banking, and private platforms online. Additionally, Digital Post ensures all communications from
public authorities are received digitally, reducing paperwork and streamlining processes. Nearly 99
per cent of Danes use e-Government services, making Denmark a leader in the EU.
18
For
companies,
digitalisation enhances business efficiency and competitiveness. Denmark ranks
sixth globally in the Cisco Digital Readiness Index, excelling in areas like digital infrastructure
(number one globally) and ease of doing business (number one globally). These strengths and a
high level of technology adoption (number 15 globally) enable businesses to thrive in a highly digi-
talised economy.
19
In this chapter, we have demonstrated that the telecommunications sector contributes significantly
to GDP and supports jobs through its operations as well as investments, which put Denmark at the
forefront of digitalisation. In the next chapter, we will examine how a well-developed digital infra-
structure contributes even further to the Danish economy by enabling productivity growth for those
using the infrastructure and by creating wider socio-economic benefits such as reducing emissions
and increasing cybersecurity and resilience.
18
19
European Commission, DESI indicators
e-Government users (link).
Cisco, Digital Readiness Index (link).
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CHAPTER 2
ADVANCED DIGITAL INFRASTRUCTURE HAS
FAR-REACHING SOCIO-ECONOMIC BENEFITS
In today’s fast-evolving
digital landscape, futureproof digital infrastructure
designed to be adapta-
ble, scalable, and resilient
is essential for addressing both current and emerging challenges and
needs. Beyond its technological importance, it delivers significant socio-economic benefits, as we
discuss in this section. Specifically, we explore how resilient digital infrastructure is critical to
achieving key policy objectives in three areas: fostering productivity growth, promoting the green
transition, enhancing IT security and resilience as well as ensuring the security of supply.
Firstly, we find that improvements to digital infrastructure contributed to economic growth. Based
on estimates from existing studies scaled to the Danish context, we find that the average annual
contribution to GDP from increases in download speeds and broadband adoption was between 0.38
and 0.60 per cent annually, equivalent to DKK 10.8 to 16.8 billion (DKK 1,800 to 2,800 per citizen)
in GDP, over the last ten years (see Section 2.1).
Secondly, we discuss how futureproof digital infrastructure contributes to the green transition by i)
lowering CO2 emissions from the network and ii) enabling the use of advanced technology down-
stream. We estimate that from 2019 to 2023, the network’s improved energy efficiency reduced the
networks emissions by 31 per cent. Substantial further reductions are enabled for those using ad-
vanced digital infrastructure by supporting the use of new, more energy efficient technology across
the economy and society (see Section 2.2).
Thirdly, we discuss that according to the Centre for Cybersecurity, Denmark faces a high to very
high threat regarding cyber espionage, cyber activism and cyber-crime. Efforts made by the tele-
communications sector to mitigate those cyber threats provide far reaching benefits across all sec-
tors and for all citizens and businesses using of the digital infrastructure (see Section 2.3).
2.1
Digital infrastructure drives economic growth by
boosting productivity across the economy
In this section, we discuss how digital infrastructure supports economic growth by improving the
productivity across the economy. Studies show that adoption and improvements in digital infra-
structure is associated with achieving more efficient business processes, technological progress and
supporting innovation,
20
which are key ingredients for economic growth.
To estimate the GDP contribution of improved digital infrastructure in Denmark specifically, we
rely on results from existing studies scaled to the Danish economy. Overall, we estimate that ad-
vancements in digital infrastructure enabled economic gains of between DKK 10.8 and 16.8 billion
in GDP annually between 2014 and 2023, equivalent to DKK 1,800 to 2,800 per Danish citizen an-
nually.
20
Telecom Advisory Services (2020), Assessing the Economic Potential of 10G Networks (link). Briglauer, Krämer, and Palan
(2023), Socioeconomic benefits of high-speed broadband availability and service adoption: A survey (link).
22
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We estimate this GDP contribution by looking at the impact of two cumulative measures of ad-
vancement in digital infrastructure, which have been discussed in the academic literature: 1) the im-
pact of fixed broadband download speed and 2) the impact of broadband adoption.
21
According to
existing studies, improvements in broadband speed drive the adoption of more efficient business
processes and accelerate the introduction of new products, services, and innovative business mod-
els.
22
Further, increased broadband adoption leads to positive effects in product innovation, techno-
logical progress, and efficiency gains.
23
According to Briglauer, Krämer, and Palan (2023), all these
positive effects ultimately lead to an impact on GDP.
24
Digital infrastructure is likely to have an im-
pact on productivity and economic growth also via other channels, however, those are less widely
studied.
GDP impact of fixed broadband download speed
Historically, fixed broadband download speeds have increased rapidly. In Denmark, fixed broad-
band download speeds have increased 14-fold in the last ten years, from a median speed of 22.5
Mbps in 2014 to 321.9 Mbps in 2023.
25
This corresponds to a compound annual growth rate
(CAGR)
26
of 34 per cent over the last ten years, see Figure
11.
This substantial14-fold increase is at-
tributable both to an increase in the availability of high-speed internet, and to an increase in high-
speed internet adoption.
27
Figure 11
Median fixed broadband download speed in Denmark
Mbps
CAGR 34%
70
2018
82
2019
209
134
266
322
23
2014
27
2015
38
2016
57
2017
2020
2021
2022
2023
Note:
Source:
CAGR (Compound Annual Growth Rate) represents the average annual growth rate over a specified pe-
riod, assuming consistent growth each year.
Klimadatastyrelsen, Internet dataark, 2. halvår 2023 (link).
21
22
23
24
25
26
27
In total, these two effects give an annual GDP contribution of 0.38 per cent to 0.60 per cent, as we derive below, equivalent
to DKK 10.8 to 16.8 billion in GDP annually.
Telecom Advisory Services (2020), Assessing the Economic Potential of 10G Networks (link).
Briglauer, Krämer, and Palan (2023), Socioeconomic benefits of high-speed broadband availability and service adoption: A
survey (link).
Briglauer, Krämer, and Palan (2023), Socioeconomic benefits of high-speed broadband availability and service adoption: A
survey (link), p. 9.
Klimadatastyrelsen, Internet dataark, 2. halvår 2023 (link).
CAGR (Compound Annual Growth Rate) represents the average annual growth rate over a specified period, assuming con-
sistent growth each year.
According to European Commission, DESI indicators
Fixed Very High Capacity Network (VHCN) coverage (link), cover-
age grew from 63 per cent in 2017 to 97 per cent in 2023. Further, according to Klimadatastyrelsen, Internet dataark, 2.
halvår 2023 (link), the number of fibre subscribers (fibre to private) in Denmark grew from 331,246 in the first half of 2014
to 1,167,052 in the second half of 2024.
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A study by Telecoms Advisory Services
28
finds that a 100 per cent increase in fixed broadband
download speed results in a GDP increase of 0.26 per cent for download speeds below 40 Mbps,
and a 0.73 per cent increase for download speeds above 40 Mbps. Their estimates are based on
panel data for 159 countries, between 2008 and 2019. In their econometric model, they include the
broadband adoption rate to be able to separate the speed effect from the broadband adoption effect.
The estimates by Telecom Advisory Services (2020) are comparatively more conservative compared
to other studies, such as Carew et al. (2018)
29
who find that a 100 per cent increase in internet speed
results in a GDP increase of 1.97 per cent, and Kongaut et al. (2017)
30
who find that a 100 per cent
increase in broadband speed leads to a 1.47 per cent increase in GDP.
Scaling the results of Telecom Advisory Services (2020) to Denmark, we estimate that increased
download speeds resulted in an average annual GDP contribution of 0.08 per cent for the period
2014-2017 (where the median download speed was below 40 Mbps
31
), and an average annual contri-
bution of 0.25 per cent for the period 2018-2023 (where the median download speed was above 40
Mbps).
32
GDP impact of broadband adoption
Apart from the increase in download speeds, the adoption of mobile and fixed broadband has also
increased substantially over the last ten years. From 2014 to 2023, the number of mobile broadband
subscriptions per capita in Denmark increased from 1.10 to 1.46, and the number of fixed mobile
broadband subscriptions increased from 0.42 to 0.44, see Figure
12.
28
29
30
31
32
Telecom Advisory Services (2020), Assessing the Economic Potential of 10G Networks (link).
Carew, Martin, Blumenthal, Armour, and Lastunen (2018), The Potential Economic Value of Unlicensed Spectrum in the
5.9 GHz Frequency Band (link).
Kongaut and Bohlin (2017), Impact of broadband speed on economic outputs: An empirical study of OECD countries (link).
Even though the median download speed in 2017 was above 40 Mbps, our estimate for the contribution to GDP in 2017 is
included in the <40 Mbps period. This is because the median download speed in 2016, which we use in calculating the an-
nual growth in 2017, was below 40 Mbps.
Our estimate is based on median download speeds in Denmark, while Telecom Advisory Services (2020) (link) use average
download speeds to estimate the GDP impact. Consequently, our median-based estimate may differ compared to what
would be obtained using average download speeds.
24
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Figure 12
Mobile broadband adoption
Subscriptions per capita
Fixed broadband adoption
Subscriptions per capita
CAGR 1%
1.5
1.2
0.9
0.6
0.3
0.0
CAGR 3%
0.5
0.4
0.3
0.2
0.1
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
0.0
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
Note:
Source:
Mobile broadband subscriptions include all subscriptions, both data-only and combined data and voice
subscriptions, that give access to mobile-broadband networks that provide a minimum download speed
of 256 Kbps. CAGR (Compound Annual Growth Rate) represents the average annual growth rate over a
specified period, assuming consistent growth each year.
OECD, Going Digital Data Kitchen - Mobile Broadband (link) and OECD, Going Digital Data Kitchen -
Fixed Broadband (link).
To estimate the historical effect of increased broadband adoption on GDP, we use an estimate from
Briglauer, Cambini, and Gugler (2023)
33
who study the effect of an increase in fixed and mobile
broadband adoption on GDP. Briglauer, Cambini, and Gugler (2023) show that a 1 per cent increase
in fixed broadband adoption raises GDP by 0.026-0.034 per cent, and that a 1 per cent increase mo-
bile broadband adoption raises GDP by 0.079-0.088 per cent. Their estimates rely on comprehen-
sive panel data for 32 OECD countries for the years 2002 to 2020.
Combining the results from Briglauer, Cambini, and Gugler (2023) with data on per capita broad-
band subscriptions in Denmark, we find that from 2014 to 2023, the rise in fixed and mobile broad-
band adoption contributed an average of 0.018-0.024 per cent per year to GDP for fixed broadband
and 0.29-0.32 per cent per year for mobile broadband.
34
33
34
Briglauer, Cambini, and Gugler (2023), Economic benefits of high-speed broadband network coverage and service adop-
tion: Evidence from OECD member states (link).
If we instead use the results of Czernich, Falck, Kretschmer, and Woessmann (2011), Broadband infrastructure and eco-
nomic growth (2011) (link), who find that a 10 percentage point increase in fixed broadband penetration (defined as the
number of fixed broadband subscriptions per 100 inhabitants) leads to a 0.9-1.5 per cent increase in GDP, we find a larger
annual GDP contribution, on average 0.03-0.04 per cent for the 2014-2023 period.
25
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2.2
Infrastructure investments enable the green transition
by reducing CO2 emissions
In the following, we discuss how digital infrastructure investments advance the green transition and
thereby the emission targets of the Danish Climate Act
35
. Firstly, we investigate how investments in
digital infrastructure enable more energy-efficient technologies related to data use in the network
directly. Secondly, we discuss how advanced digital infrastructure enables new solutions down-
stream, for instance smart grids in the energy sector and route optimisation through data sharing in
the transport industry.
We find that compared to a scenario where energy efficiency had not improved since 2019, im-
proved energy efficiency contributed 31 percentage points to the total reduction in
the network’s
CO2 emissions from its electricity consumption between 2019 and 2023. We estimate this following
two steps.
Firstly, we estimate that the CO2 emissions from network electricity consumption have decreased
by 36 per cent (from 43,137 to 27,542 tons) between 2019 and 2023.
36
This is driven by two factors:
1) decrease in the CO2 intensity of electricity in Denmark and 2) increased energy efficiency of the
network implying lower CO2 emissions per unit of data consumed.
Secondly, we estimate the CO2 emission in a counter factual scenario where energy efficiency levels
had stayed at 2019 levels and find that CO2 emission would have only decreased by 5 per cent in the
same period. In absolute numbers, this means that, in total, 42,292 metric tonnes of CO2 emissions
have been avoided between 2019 and 2023 due to the increased energy efficiency of the mobile and
fixed broadband network in Denmark compared to 2019 levels.
37
This is equivalent to the emissions
of 3,250 Danes.
38
While data needs have been steadily increasing
39
, continued investments in digital infrastructure
have led to improved energy efficiency of the network. At 12 MWh of electricity per PB of data still
in 2019, by 2023 the energy intensity of mobile and fixed broadband had dropped to 8.1 MWh of
35
36
37
38
39
Danish Ministry of Climate, Energy and Utilities, Climate Act (english translation) (link)
We estimate the CO2 emissions from the network electricity consumption by firstly estimating the total amount of traffic
(units in data) in the Danish mobile and fixed broadband network. To calculate this, we use information on the total data
traffic in TDC Net’s entire network between 2019 and 2023
(Annual Report 2023 (link)), split between fixed and mobile via
the total up and download traffic at the consumer level in the fixed and mobile broadband network (Klimadatastyrelsen,
Internet dataark, 2. halvår 2023 (link); Klimadatastyrelsen, Hovedtal dataark, 2. halvår 2023 (link)) and scaled to all of
Denmark based on TDC market shares (TDC (2016), Svar på Erhvervsstyrelsens høring om bredbåndsmarkeder (link); TDC
Net (2023), Annual Report 2023 (link)). Secondly, we use information on the energy intensity, i.e. the amount of electricity
(MWh) consumed per unit of data (PB), in TDC Net’s network between 2019 and 2023
(TDC Net (2023), Annual Report
2023 (link)), assuming this is the same across the Danish network. Thirdly, we use information on the average amount of
CO2 used to produce and deliver one unit of electricity, i.e. the annual average CO2 intensity of electricity from Energinet
(Energinet (2023), Baggrundsdata for Miljøberetningen 2023 (link)). See Appendix A for more details.
To calculate avoided emissions, we use the average annual historical and future emission intensity of electricity (CO2 per
unit of electricity) from Energinet (2023), Baggrundsdata for Miljøberetningen 2023 (link).
If the network’s electricity con-
sumption is in reality uneven throughout the year, using the average annual emission intensity means that we either over or
underestimate the avoided emissions due to network energy efficiency improvements.
According to CONCITO (2023), Danmarks globale forbrugsudledninger, the average
Dane’s global emissions is 13 tons an-
nually.
See for instance Klimadatastyrelsen, Internet dataark, 2. halvår 2023 (link), Klimadatastyrelsen, Hovedtal dataark, 2.
halvår 2023 (link), which shows that total consumer traffic in the mobile network grew from 449,151 TB in 2019, to
1,207,361 TB in 2023, and from 3,579,408 TB to 6,677,543 TB in the fixed network.
26
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electricity per PB of data. This corresponds to a compound annual decline of 9.5 per cent over five
years, see Figure
13.
Figure 13
Development in the mobile and fixed broadband network’s energy intensity
MWh of electricity/PB of data
12.1
CAGR -9.5%
11.0
9.8
9.2
8.1
2019
2020
2021
2022
2023
Note:
Source:
We assume that the development in the rest of the Danish network is the same as the development in TDC
NET’s network.
CAGR (Compound Annual Growth Rate) represents the average annual growth rate over
a specified period, assuming consistent growth each year.
TDC Net (2023), Annual Report 2023 (link).
The increase in energy efficiency has been made possible by employing more energy-efficient tech-
nologies, such as fibre instead of copper and 5G instead of 4G.
40
According to Telefónica, FTTH
broadband (fibre to the home) is 85 per cent more energy efficient than the copper network.
41
Ac-
cording to Ericsson
42
and Nokia
43
, 5G is between 70 per cent and 90 per cent more energy efficient
than 4G. In rural areas, sleep mode solutions mean that 5G could consume as little as one tenth the
amount of electricity that 4G does to deliver one unit of data through the network. In urban areas,
an energy reduction of up to 70 per cent is achievable if the entire network is upgraded to 5G.
44
We
note however that while 5G is more efficient than 4G per unit of data, 5G users tend to consume
more data.
45
In addition to reduced emissions due to the increased energy efficiency of the network, future ad-
vancements in ICT technology can enable other industries to reduce emissions, which is crucial for
reaching climate goals and Net Zero targets. Estimates from The World Economic Forum suggest
that ICT solutions, and in particular 5G, could
“help
reduce global carbon emissions by up to 15%
or one-third of the 50% reduction required by 2030
through solutions in energy, manufacturing,
agriculture and land use, buildings, services, transportation and traffic management.”
46
40
41
42
43
44
45
46
Teleindustrien, Dansk Erhverv, and DI (2024), Aftale om Digital Infrastruktur 2025
2030, p. 16 (link); TDC Net (2023)
Annual Report 2023, p. 31 (link).
Telefónica (2019), Telefónica issues the first green bond of the telco sector, amounting to 1 billion euros (link).
Ericsson (2023), ICT energy - The energy use and enablement effect of the Information and Communication Technology
industry (link).
Nokia (2020), Nokia confirms 5G as 90 percent more energy efficient (link).
Ericsson (2023), ICT energy - The energy use and enablement effect of the Information and Communication Technology
industry (link).
See for instance Nokia (2024), Nokia report reveals 5G data consumption four times faster than 4G in India (link), which
reports that “5G users on average consume up to 3.6x more data compared to 4G users.”
World Economic Forum (2019), Digital technology can cut global emissions by 15%. Here’s how
(link).
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Smart grids in the energy sector and route optimisation through data sharing in the transport in-
dustry are examples for how developments in digital infrastructure could enable the green transi-
tion, see Box 1. In addition to these two examples, there are many other ways in which digital infra-
structure enables substantial emission reductions. Other examples are digital services replacing
CO2-intensitve physical products, or better digital access enabling online meetings which reduced
travel-related emissions.
28
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Box 1 Examples for how developments in digital infrastructure could enable new
solutions downstream supporting the green transition
Electricity generation and utilities
Electricity demand is expected to increase over the coming two decades. At the same time,
renewables such as solar and wind will generate a substantially larger share of electricity. Ac-
cording to Ericsson, when the utility sector relies more on renewable energy, electricity produc-
ers will face management and operational challenges. Energy production will be more vola-
tile, with many small, scattered power sources and grid capacity limits, putting strain on load
balancing and energy planning. In addition, these challenges will be complicated further by
more households installing solar panels, leading them to become both producers and consum-
ers
known as
prosumers
of electricity.
47
According to a MIT Technology Review Insights report
48
, connected and automated smart
grids, supported by 5G, will play a crucial role in tackling these management and operational
challenges. Through real-time data from smart meters and sensors, smart grids will bring im-
proved automation and control, enabling power companies and utility operators to manage
the two-way energy flows from prosumers and balancing renewable energy fluctuations.
49
Transports
Integrating transportation and communication networks—such as telematics, smart city analyt-
ics, and traffic management—can lead to efficiencies that reduce emissions. However, ac-
cording to MIT and Ericsson, a key challenge in speeding up decarbonisation of the transport
sector through connectivity is that most transport systems remain siloed. “Fleets
of trucks oper-
ated by logistics firms, public subway operators, or individual drivers of vehicles largely exist in
separate parallel data universes“
50
.
One example of how the transportation sector can reduce emissions through data sharing is
route optimisation for electric vehicles, which requires data on road conditions, traffic patterns,
congestion, charging infrastructure, grid use, and vehicle location. This enormous flow of this
data relies on cellular communications, with 5G being essential for a fossil-free transportation
sector.
51
Other examples of how digital infrastructure could enable the green transition include optimi-
sation of port processes, automated building management systems, automated field robots in
agriculture, smart city solutions, and many more.
52
47
48
49
50
51
52
Ericsson (2023), ICT energy - The energy use and enablement effect of the Information and Communication Technology
Industry (link).
MIT Technology Review (2021), Decarbonizing industries with connectivity & 5G (link).
See also European Commission, Flexibility markets (link).
Ericsson (2023), ICT energy, The energy use and enablement effect of the Information and Communication Technology
Industry (link).
Ericsson (2023), ICT energy, The energy use and enablement effect of the Information and Communication Technology
Industry (link).
European Green Digital Coalition, Case study calculators (link).
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2.3
Investments are required for keeping digital
infrastructure resilient and safe against cyber-attacks
As societies and economies become more reliant on digitalisation, digital infrastructure is likely to
become even more central for generating economic growth and benefits. However, the increased
digitalisation will not only create more benefits but also more risks in terms of cyber threats.
53
As we discuss in this section, digital infrastructure in Denmark, similar to the rest of Europe and the
world, faces significant cyber threats. To lower the risk of attacks and network breakdowns, the sec-
tor engages and invests in many activities. As the reliance on digital infrastructure grows, the costs
associated with a potential network break-down or a cyber-attack on an individual or company
level, or for whole regions can be large and are likely to be even larger in the future. Strengthening
network resilience and cybersecurity safeguards the Danish economy and society as a whole, with
the true cost of failure only revealed when the systems break down.
The Centre for Cybersecurity states that “Denmark
is still [2024] a prime target for malicious ac-
tors”.
54
We can distinguish threats, as identified by the Danish Centre of Cybersecurity, by the agent
and the purpose as well as whether they occur at the user level or the structural level:
55
Threats at structural level:
Cyber espionage, destructive cyber-attacks and cyber activism
are the most common tactics in state-on-state cyber operations and are mainly done by
state-sponsored hackers to steal information or disrupt activities. The purpose of cyber ter-
rorism is to conduct terrorism via the cyber domain.
Threats at user level:
The actors conducting cyber-crime are typically non-political and
opportunistic in pursuit of financial gain. Consequently, cyber-crime can affect everyone.
According to the Centre for Cybersecurity, Denmark as a whole faces a high or very high threat re-
garding two out of four structural threats (i.e. cyber espionage and cyber activism) and a very high
threat on user level (i.e. cyber-crime) across all industries, see Figure
14.
On sector level, the risk of
cyber espionage and cyber activism are especially high for Energy and Transport.
53
54
55
European Commission (2020), The EU toolbox for 5G security (link).
Centre for Cybersecurity (2024), The cyber threat against Denmark (link), p. 6.
Based on Centre for Cybersecurity (2024), The cyber threat against Denmark (link).
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Figure 14
The cyber threat against Denmark and key sectors
Centre for Cybersecurity threat assessments across sectors (year of assessment)
Structural level
Cyber
espionage
Cyber
activism
Destructive
cyber attacks
Cyber
terrorism
User level
Cyber crime
Denmark
(2024)
Telecommunications
(2022)
Financial
(2022)
Energy
(2023)
Transport
(2022)
None
Low
Medium
High
Very high
Note:
Source:
The threat assessments are not all from the same year and older assessments might be lower than what is
the case.
Denmark: Centre for Cybersecurity (2024), The cyber threat against Denmark (link); Telecommunication:
Centre for Cybersecurity (2022), The cyber threat against the telecom sector (link); Financial: Centre for
Cybersecurity (2022), The cyber threat against the Danish financial sector (link); Energy: Centre for Cyber-
security (2023), The cyber threat against the Danish energy sector (link); Transport: Centre for Cybersecu-
rity (2022), The cyber threat against the Danish land and air transport (link).
While the specific threat to the telecommunications sector is not higher than for other key sectors,
efforts to mitigate the threats by the telecommunications sector will likely affect the ability to resist
cyber threats across all sectors. The Centre for Cybersecurity has highlighted that more complex
technologies will create increasing demands on the sector to keep digital infrastructure updated and
adequately protected to resist cyber threats.
56
The telecommunications sector exerts continued efforts to make networks safe (i.e. improve cyber-
security and minimise cyber-threats) and resilient (i.e. minimise downtime) with far reaching bene-
fits across all sectors and for all citizens and businesses using the digital infrastructure. The efforts
include for example increasing cyber security (e.g. updating systems and educating personnel), risk
management (e.g. updating risk management system), business continuity management (e.g. disas-
ter recovery and crisis management), physical safety (e.g. data centre and site safety), and following
56
Centre for Cybersecurity (2022), The cyber threat against the telecom sector (link).
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current legislation (e.g. NIS2 activities).
57
While in the following we will focus mainly on cybersecu-
rity, we note that efforts to improve cybersecurity often also support network resilience if for exam-
ple cyber-attacks that threaten the security of supply can be mitigated.
To mitigate
structural level threats,
the sector’s efforts are twofold:
The sector invests to ensure safe networks, avoid espionage, support anti-terror activities,
and similar. Besides working closely together with governmental bodies,
58
operators com-
ply with legal guidelines when selecting equipment suppliers
even when this limits the
number of available vendors and/or could lead to higher costs for operators.
59
The sector exerts efforts to build resilient networks with no downtime. This is done by an
ongoing focus on resilience against and fast response to potential incidents.
60
Structural failures leading to wider breakdowns of telecommunications services can have considera-
ble consequences for all users of the infrastructure and the entire economy. For example, businesses
may face loss of revenue (for businesses that rely on online sales or provide online services) or face
operational disruptions and productivity losses (as e.g. communication channels, cloud-based data
and computing systems, supply chains and logistics break down). Critical services like healthcare,
emergency response, and energy supply may also be affected with far reaching consequences not
just for the economy but society at large. The total costs associated with an internet breakdown is
likely to depend on the exact scale, duration and sectors affected.
We have investigated publicly availably sources to find estimates on the potential costs associated
with a breakdown in digital infrastructure. There are some studies that attempt to provide an indi-
cation of the magnitude of such costs:
A widely referenced report from the analysis company Gartner in 2014 reports that large
companies face costs of USD 5,600 per minute of unplanned downtimes and small compa-
nies between USD 137
427 per minute.
61
This corresponds to DKK 2.3 million per hour
for large companies and DKK 57,000
177,000 per hour for smaller companies.
62
A more recent study conducted by the Ponemon Institute from 2016 finds that the average
cost of an unplanned outage was USD 9,000 per minute per incident for data centres.
63
This corresponds to DKK 3.7 million per hour.
64
A study by Deloitte in 2016 of the economic impact of disruption to internet connectivity
finds that temporary internet shutdowns in
‘high connectivity’
countries (corresponding to
a 35 per cent broadband penetration which is very low today) could lead to an economic
loss of around 1.9 per cent of daily GDP.
65
57
58
59
60
61
62
63
64
65
Based on information from telecommunications operators.
Center for Cybersikkerhed (2022), En sikrere teleinfrastruktur i Danmark (link).
See e.g. Berlingske (2024), TDC Net bekræfter: Alt Huawei-udstyr er væk til tiden (link).
See e.g. TDC Net (2023), Annual report 2023 (link), p. 47.
Forbes (2022), How to Guard Against The Cost Of Unplanned Downtime And Network Outages (link) and Pingdom (2023),
Average Cost of Downtime per Industry (link).
We do not adjust prices by inflation. We have converted to an hourly DKK cost by multiplying with 60 (number of minutes)
and using the average 2023 USD/DKK exchange rate of 6.8895.
Ponemon Institute (2016), Cost of Data Center Outages
We do not adjust prices by inflation. We have converted to an hourly DKK cost by multiplying with 60 (number of minutes)
and using the average 2023 USD/DKK exchange rate of 6.8895.
Deloitte (2016), The economic impact of disruptions to internet connectivity
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As an illustrative example, we use the per minute cost range for small and large companies, from
Gartner 2014 mentioned above, to calculate a high-level, exploratory estimate of the cost associated
with a one-hour breakdown of telecommunications services. This illustration suggests that in aggre-
gate it could cost Danish companies as much as DKK 3.5 to 6.5 billion per hour
66
if digital infra-
structure breaks down and companies experience downtime. The effect will be larger with longer
periods of downtime. These sources are high-level estimates with a margin of uncertainty and do
not constitute a full-fledged model of the economy, thus also the numbers which, on this basis, we
have calculated for Denmark should be interpreted as high-level, exploratory estimates.
Regarding
user level threats,
the telecommunications sector exerts efforts to reduce cyber-crime
by providing spoofing protection, blocking links and websites, and providing SMS and mobile iden-
tity protection.
67
Such efforts generate benefits to citizens and businesses lowering the societal cost
related to cyber-crime, see Box 2.
66
67
We estimate this using an estimate of the average cost of downtime of USD 5,600 per minute for large enterprises and be-
tween USD 137-427 for smaller companies. We extrapolate this per minute cost linearly to estimate the cost per hour and
for longer time intervals. However, the true cost might be decreasing with time as companies adjust operations. We use the
number of large companies in Denmark (927) and the number of companies with between 10-249 employees (24,456) in
2022, see Statistics Denmark. FGF3: Preliminary general enterprise statistics by industry (link). We exclude the companies
with less than 10 employees to reduce the risk of overestimating the effect. See Appendix A for a detailed description of the
methodology.
See e.g. Teleindustrien, Dansk Erhverv, and DI (2024), Aftale om Digital Infrastruktur 2025
2030 (link).
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Box 2 The cost of cyber-crime
Cyber-crime affects both individuals and businesses and can in some cases have wide societal
impacts.
Cyber-crime targeting individuals can lead to considerable costs for those affected:
o
A German study from 2015 estimated that cyber-crime against individuals
phishing,
identity theft, consumer fraud, and malware
leads to societal costs of 0.1 per cent of
GDP every year.
68
o
Translating this finding to a Danish context, we estimate that the yearly societal cost of
cybercrime could be up to DKK 2.8 billion.
69
Cyber-crime targeting companies can lead to considerable costs for the company and within
certain sectors cyber-attacks lead to even larger societal impacts.
o
One example of cyber-crime targeting a key societal sector, is the digital ransomware
attack on the Colonial Pipe
a pipeline from Texas to New Jersey in the US
in 2021. The
cyber-attack created a widespread disruption of US fuel supply along the East Coast,
such that the president declared a state of emergency.
70
We do not know the exact
societal cost of such an attack, but they are significant.
o
An example from Denmark is the cyber-attack on A.P. Møller Mærsk in the summer of
2017, which disrupted shipping and terminal operations for 12 to 24 hours. The attack
resulted in a direct loss for Mærsk of around DKK 1.6 to 1.9 billion
71
and likely impacted
customers by interrupting their supply chains.
Leading US experts expect the global annual cost of cybercrime to triple from USD 8.4 trillion in
2022 to more than USD 23 trillion in 2027.
72
Assuming a similar trend in Denmark, the cost of cy-
bercrime could increase rapidly in the coming years.
68
69
70
71
72
DIW Berlin (2015), Tatort Internet: Kriminalität verursacht Bürgern Schäden in Milliardenhöhe (link).
Using GDP in 2023 of DKK 2,805 bn. Note this is only an approximation since the results are almost 10 years old and Den-
mark is significantly more digitalised than Germany. This can have conflicting effects since Danes are likely more internet
literate which, we expect, would decrease the cost of cybercrime but on the other hand Denmark is more digitalised and
hence likely more vulnerable to cybercrime.
See e.g. Coverlink (2024), Cyber Case Study: Colonial Pipeline Ransomware Attack (link).
See Finans (2017), Hackerangreb på Mærsk koster mindst 1,6 mia. kr. (link).
U.S. Department of State (2023), Digital Press Briefing with Anne Neuberger, Deputy National Security Advisor for Cyber
and Emerging Technologies (link).
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CHAPTER 3
CONTINUED INVESTMENTS ARE NEEDED TO
MAKE DIGITAL INFRASTRUCTURE
FUTUREPROOF AND DELIVER FURTHER
BENEFITS
In this chapter, we outline the need for continued investment in digital infrastructure to ensure that
it remains future-proof and continues delivering socio-economic benefits. As digital demands grow
and technological developments such as 5G, edge computing, and AI reshape the landscape, sub-
stantial investments are required to keep pace with new advancements, meet connectivity targets
and increasing safety requirements (see Section 3.1).
Furthermore, we explore how ongoing investments can deliver significant benefits to society. First,
we show that continued investments at levels similar to the last five years will support DKK 5.6 bil-
lion in GDP and 8,000 jobs yearly until 2030 (see Section 3.2.1). Secondly, we find that increased
download speeds by further adoption of modern broadband technologies could contribute 0.10 to
0.18 per cent annually to GDP until 2030 (see Section 3.2.2). Finally, we explore how further adop-
tion of modern broadband can reduce CO2 emissions (see Sections 3.2.3).
3.1
Substantial investments are needed to keep up with
connectivity targets, demand, and technological
developments
Historically, the Danish telecommunications sector has been fast at embracing and implementing
new technologies. This has made Denmark one of the most digitalised countries in Europe and the
world and has created economic benefits for society, as discussed in Chapters 1 and 2. However,
past successes do not ensure future ones, and today's telecommunications networks are facing a
major transformation. A future-proof digital infrastructure relies on networks capable of respond-
ing to evolving societal needs alongside significant technological advancements.
As we discuss in this section,
futureproof digital infrastructure needs to i) achieve the EU’s 2030
connectivity targets
73
, and ii) respond to the increasing demand for bandwidth, speed, low latency,
and ubiquitous access required to iii) support the mass adoption of emerging technologies such as
edge computing, cloud computing, or artificial intelligence, and iv) comply with increasing security
requirements and legislation. This requires large-scale investments, including network equipment,
civil engineering works, and labour.
Firstly, the European Commission has set ambitious
connectivity targets
for the EU and has esti-
mated that the investment needed to reach connectivity goals in Europe alone could be as high as
73
European Commission (2024), State of the Digital Decade 2024 report (link).
35
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EUR 148 to 227 billion.
74
The digital infrastructure targets include 100 per cent coverage by 2030 of
known technologies such as 5G, Fibre to the Premises, and Fixed Very High-Capacity Networks, see
Figure
15.
Additionally, the European Commission aims to increase the number of edge nodes in
the EU tenfold to 10,000 in 2030 and have targets for both semiconductor production and quantum
computing.
75
Figure 15
European digital infrastructure targets
Overall 5G coverage
5G coverage in 3.4-3.8 GHz
Fibre to the Premises
Fixed Very High-Capacity Network
Edge Nodes
1,186
51
64
79
8,814
89
49
36
21
11
100% coverage
100% coverage
100% coverage
100% coverage
10,000 edge nodes
Now
2030 target
Note:
Source:
We have only included targets directly targeting the telecommunications sector.
European Commission (2024), State of the Digital Decade 2024 report (link).
While the investments needed to reach the connectivity targets are likely lower in Denmark com-
pared to other EU countries, since Denmark is a leader in terms of digital infrastructure (see Sec-
tion 1.3), some additional investments are still required to reach all targets fully. Similar to the rest
of Europe, 5G in Denmark is not yet
‘Full
5G’
or ‘Stand-alone 5G’,
which requires new 5G core to
support the new technologies with
‘next-generation capabilities’,
76
but to some extent still uses 4G
infrastructure.
Secondly, expected
growth in data consumption
especially over mobile networks
will re-
quire further investment in digital infrastructure to ensure a robust network that can accommodate
future data consumption. The demand for digital services is expected to increase substantially both
in Denmark and in the EU as a whole. In Denmark, data consumption over mobile networks is fore-
casted to increase from around 22 GB per month in 2022 to 96 GB per month in 2030 correspond-
ing to a compound annual growth rate (CAGR)
77
of 20 per cent, see Figure
16.
The trend is similar
for fixed infrastructure where consumption will increase to more than 1,000 GB per month in 2030
74
75
76
77
European Commission (2024), White Paper
– How to master Europe’s digital infrastructure needs?
(link). The range is
including additional investments in ‘transport corridors’:
“current Digital Decade
targets for Gigabit connectivity and 5G
may require a total investment of up to EUR 148 billion
(…).
A further EUR 26-79 billion of investments may be required
under different scenarios to ensure full coverage of transport corridors including roads, railways, and waterways, bring-
ing the required total investment needs for connectivity alone to over EUR 200 billion”.
European Commission (2024), State of the Digital Decade 2024 report (link).
See ETNO (2024), State of Digital Communications 2024 (link), p. 98.
CAGR (Compound Annual Growth Rate) represents the average annual growth rate over a specified period, assuming con-
sistent growth each year.
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up from 278 GB per month in 2022 corresponding to a CAGR of 18 per cent.
78
We expect that espe-
cially for
but not limited to
mobile networks further investments are needed to accommodate
the growth in data consumption.
Figure 16
Forecast of data consumption over mobile infrastructure in Denmark
GB per month
100
75
CAGR +20%
50
25
0
2022
2023
2024
2025
2026
2027
2028
2029
2030
Note:
Source:
CAGR (Compound Annual Growth Rate) represents the average annual growth rate over a specified pe-
riod, assuming consistent growth each year.
Arthur D. Little (2023), The evolution of data growth in Europe (link), Table 1.
Thirdly,
new technologies
will drive an increased need for investments. In a whitepaper concern-
ing digital infrastructure needs, the European Commission states that new business models and en-
tirely new markets are emerging from technological developments around the App Economy, IoT,
Data Analytics, or AI. These applications will require a continuous exponential increase in data pro-
cessing, storage, and transmission. A new model of networks relies not only on traditional elec-
tronic communications equipment, network and service providers but also on a complex ecosystem
of cloud, edge, content, software and component suppliers, amongst others.
79
In the same white paper, the European Commission highlights that Europe's traditional position of
strength could be at risk as hybrid networks, edge computing, and full cloud migration change the
nature of digital infrastructure. To preserve a leading global position in telecommunication equip-
ment and competencies, it is important to embrace and integrate the new technologies when they
become available.
80
These new technologies and business cases entail that successfully reaching connectivity goals and
preparing for future demand will not imply that digital infrastructure is fully developed. Instead, it
will only be a step in the continued development that requires significant investments going for-
ward.
78
79
80
Arthur D. Little (2023), The evolution of data growth in Europe (link), Table 1.
European Commission (2024), White Paper
– How to master Europe’s digital infrastructure needs?
(link).
European Commission (2024), White Paper
– How to master Europe’s digital
infrastructure needs? (link).
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Finally, the implementation of
stricter security requirements and legislation
across the EU,
such as the NIS2 Directive and the Critical Entities Resilience (CER) Directive, are expected to in-
crease investments in both cybersecurity and physical security measures.
The NIS2 Directive, which came into force in 2023, modernises cybersecurity requirements to ac-
count for the growing digitisation and evolving threats across sectors. It expands the scope of cyber-
security measures and imposes new requirements on both public and private entities, including the
telecommunications industry.
81
This expansion is likely to compel telecommunications operators to
invest in enhancing their cybersecurity infrastructure, including systems for incident response,
physical security upgrades, and recovery.
82
The Critical Entities Resilience (CER) Directive, which came into effect in early 2023, imposes obli-
gations on Member States to ensure the resilience of essential services, including those provided by
the digital infrastructure sector. This directive covers telecommunications networks as a critical ser-
vice, requiring operators to conduct regular risk assessments and implement measures to safeguard
their infrastructure.
83
3.2
Continued investments are required to keep delivering
value and socio-economic benefits
In this section, we demonstrate how future telecommunication infrastructure investments, along
with the adoption of better technologies, will provide continued value and socio-economic benefits
to the Danish economy.
Firstly, we find that if the telecommunications
sector’s
infrastructure investments continue at the
levels realised in 2019-2023, they will contribute DKK 5.6 billion to the Danish economy and sup-
port 8,000 jobs annually until 2030 in direct and induced effect. Secondly, we explore how future
increases in download speeds will contribute to GDP, identifying an annual contribution of 0.10-
0.18 per cent to GDP until 2030. This is equivalent to between DKK 2.9 and 5.0 billion in GDP con-
tribution annually. Finally, we estimate that between 2023 and 2030 further improvements in the
network’s energy efficiency could contribute between 17 and 24 percentage points to
the total fur-
ther reductions of 83 to 89 per cent
in the network’s emissions from electricity consumption.
We also note that in addition to these findings, continued investments in cybersecurity and resili-
ence will generate significant socio-economic benefits in the future as digital dependency is likely to
become even stronger.
3.2.1 Future investments will continue to provide value to the Danish
economy
Over the last 10 years, the telecommunications sector in Denmark has invested 20 per cent of reve-
nue on average with higher levels in recent years (2019-2023) than previously (2014-2018), see Fig-
ure
7.
These (past) infrastructure investments have provided substantial economic value and socio-
economic benefits, as described in Chapters 1 and 2.
81
82
83
European Commission (2022), Directive on measures for a high common level of cybersecurity across the Union (NIS2 Di-
rective) (link).
NIS2Directive, Digital Infrastructure sector (link).
Critical-entities-resilience-directive, The Critical Entities Resilience Directive (CER) (link).
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While legacy investments will continue to provide benefits, substantial further investments by the
sector are required to keep pace with technological developments and increasing demand for digital
services and to fulfil connectivity targets, as discussed above. However, future investment levels are
uncertain by nature and are driven among other things by the framework conditions faced by the
sector.
If future investments stay at similar levels as realised in 2019-2023, i.e. DKK 10.3 billion yearly, we
estimate that investment will contribute DKK 5.6 billion to the Danish economy and support 8,000
jobs yearly in direct and indirect effects until 2030. Additionally, induced effects will contribute
DKK 3 billion to GDP and support 3,100 jobs yearly. This level of investments is in line with what
the sector considers as potential yearly investments towards 2030 (i.e. DKK 60 billion) if frame-
work conditions are investment friendly.
84
However, if investments drop to a lower level, the economic contributions of GDP and employment
will consequentially also be lower. For example, if investments drop by 33 per cent, we estimate that
this will
all else equal
lead to DKK 1.9 billion lower GDP contribution and 2,700 fewer jobs (di-
rect and indirect effects) supported by investments in the telecommunications sector every year.
85
3.2.2 Continued investments in modern broadband technologies could
contribute 0.10 to 0.18 per cent annually to GDP until 2023
As evident in Figure
11,
download speeds have increased significantly in recent years. With contin-
ued technological advancement, as described in Section 3.1, and the adoption of modern broadband
technologies, this trend is likely to continue.
To estimate the future impact on GDP of increasing download speeds, we consider two download
speed growth scenarios, see Figure
17
below. First, for the optimistic scenario, we assume that
download speeds will grow at the Cisco
86
forecasted compound annual growth rate (CAGR)
87
plus 5
per cent, resulting in a projected CAGR of 24.2 per cent. Second, for the conservative scenario, we
apply the Cisco forecasted CAGR minus 5 per cent, giving a projected CAGR of 14.2 per cent.
84
85
86
87
Teleindustrien, Dansk Erhverv, and DI (2024). Aftale om Digital Infrastruktur 2025
2030 (link).
We estimate his using the same method as in Section 1.1.2, see Appendix A for further information.
A CAGR of 19.2 per cent is estimated in Cisco (2020), Cisco Annual Internet Report (2018-2023) White Paper (link).
CAGR (Compound Annual Growth Rate) represents the average annual growth rate over a specified period, assuming con-
sistent growth each year.
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Figure 17
Scenarios for future fixed broadband download speeds in Denmark
Mbps
1,466
Optimistic scenario (CAGR 24.2%)
Conservative scenario (CAGR 14.2%)
951
766
815
714
1,181
617
496
400
368
420
479
547
625
2024
Note:
2025
2026
2027
2028
2029
2030
Source:
Cisco estimates a CAGR of 19.2 per cent. Based on this, we add 5 per cent in our optimistic scenario, re-
sulting in a CAGR of 24.2 per cent, and subtract 5 per cent in our conservative scenario with a CAGR of
14.2 per cent. CAGR (Compound Annual Growth Rate) represents the average annual growth rate over a
specified period, assuming consistent growth each year.
Copenhagen Economics based on Klimadatastyrelsen, Internet dataark, 2. halvår 2023 (link) and Cisco
(2020), Cisco Annual Internet Report (2018-2023) White Paper (link).
Based on these two growth scenarios for future fixed broadband download speeds, we estimate for
Denmark an average annual GDP contribution from increasing download speeds of 0.10 per cent in
the conservative scenario, and 0.18 per cent in the optimistic scenario, equivalent to DKK 2.9 to 5.0
billion in GDP
88
.
Since fixed and mobile broadband adoption, measured in the number of subscribers, have been sta-
ble in recent years in Denmark, we do not estimate the future contribution of broadband adoption
to GDP
while broadband adoption as a driver of GDP has already been established in the litera-
ture and should be considered an ongoing economic effect contributed by the present digital infra-
structure in Denmark.
3.2.3 Further adoption of modern broadband technologies could reduce
CO2 emissions further
Past investments in digital infrastructure
in parallel with consumers’ increased adoption of modern
broadband technologies led to improved energy efficiency of the network, as discussed in Section
2.2. Improvements
in the network’s energy efficiency
observed in the past (see Figure
13)
are likely
to continue in the future if sufficient investments materialise and increased adoption continues. 5G
will continue to become even more energy efficient as the technology matures. Orange estimates
that 5G technologies
“divide
the energy consumption per gigabit transported by a factor of 10
88
Based on the GDP in 2023 of DKK 2,805 billion, see Statistics Denmark (link).
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compared to 4G once they reach maturity by 2025, and then by a factor of 20 by 2030”
89
. In addi-
tion, further technological advancements, for example optimisation of the network based on artifi-
cial intelligence, are likely to have an impact on future energy efficiency.
90
To estimate the environmental benefits of future network energy efficiency improvements, we con-
sider two scenarios.
First, for the
optimistic scenario,
we assume
that the network’s total electricity consumption re-
mains constant. This is in line with Ericsson’s finding that there does not seem to be a correlation
between data traffic and electricity consumption.
91
In addition, we use forecasts for data traffic
growth in Denmark by management consulting firm Arthur D. Little, who estimate a 20 per cent
and 18 per cent CAGR for mobile and fixed data traffic, respectively.
92
Combined, the electricity con-
sumption and data traffic forecasts result in an acceleration of network energy intensity reductions,
from a historic CAGR of -9.5 per cent between 2019 and 2023, to a CAGR of -15.5 per cent from
2024 to 2030.
Second, for the
conservative scenario,
we assume that the network energy intensity continues to
decrease at the historical rate, that is a CAGR of -9.5 per cent, see Figure
18.
93
89
90
91
92
93
Orange (2020), 5G : energy efficiency “by design”
(link).
Teleindustrien, Dansk Erhverv, and DI (2024), Aftale om Digital Infrastruktur 2025
2030 (link), p. 16.
Ericsson (2023), ICT energy - The energy use and enablement effect of the Information and Communication Technology
Industry (link).
Arthur D. Little (2023), The evolution of data growth in Europe (link), Table 1 and 2.
For a more detailed description of the methodology, see Appendix .
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Figure 18
Future development in the mobile and
fixed broadband network’s energy intensity
MWh of electricity/PB of data
6.9
7.4
6.7
5.8
4.9
Optimistic scenario (CAGR -15.5%)
6.0
Conservative scenario (CAGR -9.5%)
5.5
5.0
3.5
4.2
3.0
4.5
4.1
2.5
2024
Note:
2025
2026
2027
2028
2029
2030
Source:
In the conservative future scenario, we assume that the historical trend continues. In the optimistic future
scenario, we assume that the network’s total
electricity consumption remains at its 2023-level, while the
data traffic in the network increases by 20 per cent and 18 per cent annually for the fixed and mobile in-
frastructure, respectively. CAGR (Compound Annual Growth Rate) represents the average annual growth
rate over a specified period, assuming consistent growth each year.
Copenhagen Economics based on TDC NET (2023), Annual Report 2023 (link); Arthur D. Little (2023), The
evolution of data growth in Europe (link).
We estimate that in Denmark,
the network’s emissions from its electricity consumption could
de-
crease by 89 per cent in the optimistic scenario, or 83 per cent in the conservative scenario, between
2023 and 2030. Of this total reduction,
we estimate that improvements in the network’s energy effi-
ciency could contribute between 24 percentage points in the optimistic scenario, and 17 percentage
points in the conservative scenario.
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CHAPTER 4
CHALLENGES TO CONTINUED INVESTMENT
As covered in previous chapters, continued investments will be required to ensure future-proof digi-
tal infrastructure. However, operators across the EU and in Denmark may face challenges that
weaken their ability and incentive to continue investing in digital infrastructure.
Firstly, we explain the challenges that
may weaken the sector’s ability and incentive to invest,
in-
cluding administrative constraints and low return on investments in digital infrastructure (see Sec-
tion 4.1).
Secondly, we explain how the regulatory framework that governs the telecommunications sector
may influence
the sector’s ability
and incentive to invest. We focus on sector-specific regulation, ad-
ministrative processes, and competition law which sets boundaries for operators’ ability to collabo-
rate and consolidate (see Section 4.2).
4.1
Challenges that may weaken
the sector’s
ability and
incentive to invest
Similarly to the rest of Europe, operators in Denmark may face challenges that
weaken the sector’s
ability and incentive to invest. In this section, we describe how
operators’
ability and incentive to
invest may be weakened by administrative and financial obligations as well as by insufficient re-
turns on investments.
4.1.1 Administrative and financial obligations
Long and burdensome administrative procedures may weaken operators’ ability and incentive to
invest in digital infrastructure. Investments in fixed or mobile network infrastructure (e.g., masts,
towers or ducts) often involve administrative procedures such as permit granting, as well as the
conditions at which agreements are obtained. This creates at least two challenges for operators.
First,
permitting rules can vary between regions of municipalities, making compliance complex and
uncertain.
Second,
processes can be lengthy and burdensome, thus consuming resources and poten-
tially delaying network deployment or expansion.
The European Commission has acknowledged that administrative procedures can hinder invest-
ments in networks and tried to address it. Several European initiatives have sought to reduce the
administrative burden of deploying network infrastructure.
94
For example, the Gigabit Infrastruc-
ture Act established principles to simplify licensing and authorisation procedures in the EU
94
E.g. European Parliament and the Council (2024), Regulation (EU) 2024/1309
(Gigabit Infrastructure Act, “GIA”) (link)
and European Parliament and the Council (2014), Directive 2014/61/EU
(Broadband Cost Reduction Directive, “BCRD”)
(link).
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(including permitting and rights of way) and sought to address the lack of harmonisation that previ-
ous initiatives failed to eliminate.
95
In Denmark, operators have faced important barriers to timely investments. Danish operators con-
tributing to this study told us that they spend significant resources in selecting and getting agree-
ments from landowners and in obtaining municipal permits to build masts and fibre infrastructure
across the country. This is also in line with reports from Danish Authorities, as we outline below.
Firstly,
operators report that finding suitable areas to deploy infrastructure is challenging, both in
cities and rural areas. In cities, there are significant restrictions due to local urban planning and leg-
islation. In rural regions, there are frequent issues concerning the closeness to current structures,
while confirming that the site is conducive for mast placement is a related uncertainty. An addi-
tional challenge concerns voluntary agreements with landowners, with some operators reporting an
increasing tendency for landowners to withdraw their agreement during the installation of infra-
structure.
Secondly,
permitting can be lengthy and burdensome. The main challenges relate to the complexity
of the processes, the lack of resources to handle the procedures in the municipalities and the
lengthy processing (e.g., through political committees and planning appeals boards involved in the
approval process). Based on input from a tower company active in Denmark, getting a permit can
take on average more than 11 months from when the request is submitted. The average time for per-
mit approvals experienced by some operators has increased 88 per cent in the last 4 years, see Fig-
ure
19.
Figure 19
Average waiting time for mast permit approval
Days
+88%
298
347
257
185
187
2020
2021
2022
2023
2024
Note:
Source:
The waiting time is measured as the number of days between the date of the application for a permit,
and the date at which all permits have been granted.
Copenhagen Economics based on input from a Danish tower company.
95
The lack of harmonisation in the implementation of the BCRD was one of the reasons why the European Commission re-
placed the BCRD with the GIA. According to BEREC (2021), BEREC Opinion on the Revision of the Broadband Cost Reduc-
tion Directive (link),
the BCRD “was transposed with significant delays in most Member States and its implementation has
been inconsistent across the EU, therefore, hindering the potential to foster a more efficient and fast deployment of elec-
tronic communications networks across
the EU”.
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This is consistent with reports from the Danish Authorities, which in recent years have underlined
the need to simplify procedures related to installing digital infrastructure. For example:
In 2020, in the action plan for 5G rollout published in 2020, the Danish Energy Authority
(DEA) recognised the need to (i) reduce
“administrative barriers to rolling out 5G net-
works”
(ii)
“prepare
guidelines on standardised case administration for public authori-
ties”
and noted
that it was ‘of
great importance to mobile operators to have good and pre-
dictable conditions for their work’.
They proposed to create such conditions by ensuring
smooth case administration and hereunder a more uniform case administration across the
country’s municipalities.
96
In 2021, the DEA noted that
“Strict
Danish rules governing access to the rural open land-
scape and the preservation of the open coastal line are, however, still among the main
challenges for the operators in providing full coverage. This is true even though the socie-
tal need for a nationwide digital infrastructure is well acknowledged.”
97
In 2022, the Agency for Data Supply and Infrastructure published a toolbox to facilitate
the rollout of digital infrastructure and reduce the complexity associated with building an-
tennas and masts faced both by the telecommunications sector and the municipalities. The
toolbox recognises that municipalities retain significant autonomy in establishing rules af-
fecting network rollout and provides advice to municipalities to create transparency about
documentation needs and an established practice that the operators can follow.
98
In addition to administrative procedures, potential financial obligations can further limit operators’
ability and incentive to invest. Such obligations translate into additional costs, i.e., consuming fi-
nancial resources that could otherwise be channelled to investments. Such obligations include (i)
spectrum licencing fees, (ii) regulatory compliance costs, (iii) infrastructure sharing and access fees,
and (iv) taxes and levies.
99
4.1.2 Recent financial performance is indicative of concerns over
sufficient returns on future investments
Many European policymakers have expressed concern regarding the economic sustainability of in-
vestments in digital infrastructure. The low profitability of these investments is perceived by some
as a significant threat to the operators’ ability and incentive to continue making further invest-
ments. The lack of economic sustainability of investments is especially a concern given the ongoing
digital transformation in the EU where substantial investments are needed to keep up with techno-
logical developments, as noted by the European Commission
100
and in the Draghi report
101
.
96
97
98
99
100
101
See Danish Energy Agency (2020), 5G Action Plan for Denmark (link), p. 8.
International Telecommunication Union (2020), Balancing infrastructure sharing
The Danish experience (link).
Styrelsen for Dataforsyning og Infrastruktur (2022), Otte gode råd til kommuner om mastesager (link).
While not clear-cut, there is some evidence that high spectrum costs hamper investments and reduce consumer welfare
under certain circumstances. See e.g., NERA (2017), The Impact of High Spectrum Costs on Mobile Network Investment
and Consumer Prices (link).
European Commission (2024), White Paper -
How to master Europe’s digital infrastructure needs?
(link), p. 10.
Draghi notes that
“the
declining profitability of the telecom sector now may represent a risk for industrial companies in
Europe, in a phase when state of the art infrastructure is required to digitise manufacturing, supply and distribution
chains. this poses significant challenges to raise capital from lenders and investors.”
Draghi (2024), The future of Euro-
pean competitiveness - In-depth analysis and recommendations (link), p. 70.
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There is a growing concern that operators may have been unable to recover the costs of their recent
investments. For example, Draghi (2024) notes that
“in
recent years, return on capital has been
lower than the weighted average cost of capital”
102
. Similarly, the European Commission has also
recently suggested that investments by EU operators yield low profitability.
103
Insofar as returns on investment are insufficient to recover the costs and enable sufficient return on
investments, operators could see future investments as uncertain and potentially unsustainable.
This may impact their ability and willingness to continue to invest in new digital infrastructure. As
the European Commission explains, low profitability may lead to
“(…)
lack of market confidence in
the potential for sustainable long-term growth in revenues”,
thus
hindering operators’ ability and
incentive to invest.
104, 105
It would be necessary to conduct a detailed analysis of profitability to assess whether operators in
Denmark have been able to recoup the costs of their investments. While an exhaustive profitability
analysis is beyond the scope of this study, there is indicative evidence suggesting that operators in
Denmark face similar challenges as the industry across the rest of the EU, see Box 3.
Box 3 Return on capital employed in the Danish telecommunications sector
There are different
methods to assess operators’ profitability,
financial performance and invest-
ment incentives. One of the methodologies involves comparing the Return on Capital Em-
ployed (ROCE) and the Weighted Average Cost of Capital (WACC). This comparison measures
the efficiency with which an operator generates profits from its investments (i.e., capital ex-
penditure).
In recent years, the Return on Capital Employed (ROCE) by the largest telecommunications
operators in Denmark has been lower than the Weighted Average Cost of Capital (WACC) in
the EU proposed by Draghi (2024), see Figure
20.
Low profitability can signal that operators will
be unable to recover the cost of future investments (similar to past investments in recent years),
which can also affect
operators’
ability to secure enough funding for new investments.
106
While the WACC analysis provides a valuable point of reference and has been reported in EU
policy reports and by the UK regulator Ofcom, it should be approached with caution. Firstly, a
ROCE vs WACC comparison offers only a partial view on profitability, and a more detailed
analysis (out of the scope for this report) would require complementary analysis. Secondly, an
average WACC at the EU level may not accurately represent the cost of capital faced by
102
103
104
105
106
The report compares the EBIT adjusted return on employed capital with the average weighted cost of capital (WACC).
See, e.g., European Commission (2024), White Paper -
How to master Europe’s digital infrastructure needs?
(link).
European Commission (2024), White Paper -
How to master Europe’s digital infrastructure needs?
(link).
Draghi also discusses how low profitability can make
“(…)
the financing of future investments problematic”.
See Draghi
(2024), The future of European competitiveness - In-depth analysis and recommendations (link), pp. 71.
Financing large-scale investments typically requires a combination of instruments beyond the reinvestment of operational
profits, involving borrowing capital (through debt instruments) or ensuring equity infusions. Regardless of the instrument
or combination of instruments chosen, the expected profitability of investments likely affects the ability to secure funding
for investments in digital infrastructure.
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Danish operators (due to different economic conditions or regulatory environment).
107
Third,
there is some uncertainty about how the WACC from Draghi (2024) was calculated (e.g.,
whether it includes only network operators or also virtual operators) and other authors have es-
timated different costs of capital for telecom operators in Europe.
108
Figure 20
Return on capital employed is below the weighted average cost of capital per
year
DKK/month
Note:
Recognising that there are company and country-specific differences in the WACC, for the purposes of
this illustration, we have used the WACC of the EU-wide telecommunications sector in line with the com-
parison set out by Draghi (2024). ROCE is a pre-tax measure of the return of the capital employed. We
calculated the weighted average ROCE in Denmark based on aggregated financial data from TDC Net,
3DK, Telenor DK, Telia (estimated ROCE for operations in Denmark, see appendix).
109
It is unclear whether
the WACC reported by Draghi (2024) is pre-tax or post-tax. We take a conservative approach and con-
sider that the reported WACC is pre-tax (thus potentially underestimating it). The comparison between
ROCE and pre-tax WACC offers a reasonable basis to assess profitability
without accessing companies’
management accounts.
110
Source:
Copenhagen Economics based on Draghi (2024) for WACC (EU) and ROCE (EU) and publicly available
information from financial statements and reports to calculate ROCE (DK) (see detailed calculations for
ROCE in Denmark and sources in the Appendix A).
In particular, Danish operators appear to have faced a challenging balance between high invest-
ments and low retail prices. In 2022, Denmark was estimated to have the highest capex (encom-
passing costs related to upgrading and maintaining networks) per capita among 27 European coun-
tries.
111
At the same time, Denmark has been one of the countries in Europe with the lowest prices
107
108
For example, i) KPMG estimated that cost of capital for telecom operators in Germany, Austria and Switzerland in 2022 and
2023 was on average 5.8 and 7.3 per cent, respectively - see KPMG (2023), Cost of Capital 2023 (link); ii) PWC estimates
that the average WACC for telecom operators in Germany was 5.8 per cent
– see PWC’s
eValuation Data (link).
For example, Professor Aswath Damodaran of NYU Stern, using several sources (Bloomberg, Morningstar, Capital IQ and
Compustat), estimates that in the beginning of 2023 and in the beginning of 2022 the WACC for companies in Europe
providing telecom services was 7,18 and 3.92 per cent, respectively
below the estimates presented in Draghi (2024). See
Damodaran Online (link).
Norlys Fibernet
– Norly’s group
arm owning the fibre network
was not included because the publicly available financial infor-
mation does not allow for
a comparison of Norly Fibernet’s ROCE across
the period considered. The available financial information is
not adjusted to account for the impacts of (i) the merger of Norlys Fibernet A/S with both SE Fibernet A/S and Verdo A/S, and (ii)
the demerger of the Digital Business activities to Stofa A/S.
109
110
111
See, e.g., Oxera, Ava, (2003), Assessing profitability in competition policy analysis, Economic Discussion Paper 6, pp. 10-12.
(link).
See Analysys Mason (2024), Higher-income European countries have the highest capex intensities (link).
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for mobile and fixed broadband.
112 113
Additionally, we note that operator’s
profits (EBIT) have
de-
creased by 13.4 per cent in 2023 compared to 2022 in real terms.
114
One commonly cited reason for insufficient profitability is insufficient scale. It is well documented
that telecommunications networks exhibit significant economies of scale with high up-front invest-
ments in establishing infrastructure (cables, masts, antennas, etc.). Larger scale allows operators to
spread large fixed costs over a greater number of users, thereby leveraging economies of scale to
make investments more efficient. Consequently, as operators increase their customer base, they can
significantly lower their average costs, enhancing their investment capacity.
Several reports, including from the European Commission, suggest that operators in the EU may
lack the scale necessary to make investments in digital infrastructure
i.e., that market fragmenta-
tion may be weakening the operator’s ability and incentive to invest significantly in infrastructure.
115
The policy reports suggest that European operators generally have less scale compared to operators
in other regions as they have fewer customers on average.
116
While a detailed analysis of the economies of scale of Danish operators is beyond the scope of this
study, indicative evidence suggests that operators in Denmark face similar challenges as the indus-
try across the rest of the EU. By way of an indication, we note that the Danish mobile operators
serve on average fewer customers than the EU average, i.e. less than half the average European op-
erator’s scale.
While Danish mobile operators serve on average less than 2 million customers
117
, the
average number of subscribers per operator is 5 million in the EU, as Letta reports.
118
4.2
Policy instruments that affect the sector’s
ability and
incentive to invest
In this section, we discuss the key elements of the legal framework governing the telecommunica-
tions sector. Policymakers and regulators can use legislation and policy to
influence operators’
abil-
ity and incentive to invest in digital infrastructure. Firstly, we set out the main regulatory tools that
policymakers can use to address administrative and financial constraints. Secondly, we outline how
different forms of consolidation and network sharing can increase investment incentives by gener-
ating cost efficiencies and discuss how there is a growing emphasis in EU policy debate on
112
113
114
115
116
117
118
See European Commission (2022) Mobile and Fixed Broadband Prices in Europe 2022 (link).
Caution should be exercised with simple ARPU comparisons. For instance, these comparisons may not account for differ-
ences in vertical integration among operators, nor do they distinguish between market power and higher quality (and thus
more expensive) services.
Klimadatastyrelsen, Økonomiske Nøgletal for Telebranchen 2023 (link).
See e.g., Draghi (2024), The future of European competitiveness - In-depth analysis and recommendations (link); European
Commission (2024), White Paper -
How to master Europe’s digital infrastructure needs?
(link); Letta (2024), Much more
than a market - Speed, Security, Solidarity (link), pp. 52:
“enduring
fragmentation hinders the scale and growth of pan-
European operators, limiting their ability to invest”.
See e.g., Letta (2024), Much more than a market - Speed, Security, Solidarity (link),
pp. 52: “The
scale of disparity is stark:
an average European operator serves only 5 million subscribers compared to 107 million in the United States and a stag-
gering 467 million in China.”
Average number of mobile subscribers of Telenor, Telia, 3DK and Nuuday, based on financial statements.
Letta (2024), Much more than a market - Speed, Security, Solidarity (link). The exact methodology used by Letta, or source,
is unclear (e.g., it is not indicated whether it considers only MVNOs or MNOs, and whether mobile operators only or also
fixed operators).
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considering also non-price benefits when scrutinising collaboration and consolidation in light of
competition law.
4.2.1 Telecommunications operators must comply with sector-specific
regulation
Telecommunications operators in the EU must comply with a specific regulatory framework estab-
lished primarily by the European Electronic Communications Code (EECC). This framework covers
multiple dimensions
119
and is primarily aimed at promoting competition, the internal market, con-
sumers’ interests
and pursuing a connectivity objective
120
, prescribing that “[b]oth
efficient invest-
ment and competition should be encouraged in tandem, in order to increase economic growth, in-
novation and consumer choice.”
121
Ex-ante regulation continues to be central to (especially fixed) the telecommunications sector and
consists of ex-ante remedies that seek to pre-empt any exploitation of market power that could be
detrimental to competition and ultimately consumers. To impose ex-ante remedies, National Regu-
latory Authorities (NRAs)
in Denmark, the Danish Business Authority (DBA)
must demonstrate
that operators have significant market power (SMP) and that significant structural barriers to com-
petition exist.
122
Remedies may include, for example, requiring network access for competitors and
service providers and enforcing non-discrimination or structural separation measures.
123
Under the
EECC, regulators conduct regular market reviews to determine if ex-ante remedies are necessary
and proportional, considering the costs and benefits of each measure.
124
,
125
Generally, it is well-docu-
mented that any ex-ante regulation should be proportionate in addressing the specific type of com-
petition concerns identified
i.e., the choice of remedies should be the least burdensome possible
to achieve the regulatory aim. Several dimensions can be adjusted to ensure this balance, including
price, duration, geographic scope and operational targets.
Certain administrative regulatory aspects are determined at the national level. The EECC provides a
harmonised framework for telecommunications regulation across the EU. However, some aspects
are determined by each Member-state, such as i) the assignment of radio frequencies and associated
conditions, ii) the granting rights of way for the roll-out of networks and associated facilities or the
iii) universal service obligations.
119
120
121
122
123
124
125
The EECC addresses various aspects of telecommunications services, including for example market competition, consumer
protection, network access, spectrum allocation and management and broadband deployment.
See, e.g., European Parliament and the Council (2018), Directive (EU) 2018/1972 of the European Parliament and of the
Council of 11 December 2018 establishing the European Electronic Communications Code (EECC) (link), recital 23.
See, European Parliament and the Council (2018), Directive (EU) 2018/1972 of the European Parliament and of the Council
of 11 December 2018 establishing the European Electronic Communications Code (EECC) (link), recital 26, pp. 7. The same
principle was made clear in the European Commission’s Digital Single Market For Europe, where the Commission noted
that “the
review of the telecommunications framework would focus, on measures that aim to provide incentives for invest-
ment in high-speed broadband networks”,
among other aspects (EECC, recital 3, pp.
1).
Ex ante regulation should be applicable only in market all of the following criteria are met: (i) high and non-transitory bar-
riers to entry, (ii) a structure that does not tend towards effective competition and (iii) competition law alone is insufficient
to adequately address the identified market failures (see.
Non-exhaustive. For a more comprehensive set of remedies that NRAs can impose on operators in different circumstances,
see e.g., articles 60-69 of the EECC.
Considering, e.g., how regulation may affect incentives for investments and the market position of affected operators.
In designing remedies, regulators are encouraged to weigh, and avoid, possible disincentives to further investments. See,
e.g. European Commission (2024), Recommendation on the regulatory promotion of gigabit connectivity (link).
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4.2.2 The GIA act is an opportunity to improve administrative
processes that affect infrastructure investment incentives
As we described in Section 4.1.1 challenges faced by the sector due to long and burdensome admin-
istrative procedures may weaken operators’ ability and incentive to invest in digital infrastructure.
Policymakers could simplify authorisation and permitting processes to overcome municipal barriers
to investment. Streamlining and harmonising the permitting across different areas can minimise
delays and uncertainties, thus facilitating a more efficient rollout of new infrastructure.
Potential solutions could include establishing i) standardising local regulations, ii) maximum re-
sponse times for permitting, iii) standardising requirements across municipalities and iv) identify-
ing challenges that rendered previous attempts at simplification ineffective. This is particularly rele-
vant considering how previous measures seem to have been insufficient in preventing long and bur-
densome procedures associated with network rollout (see Section 4.2.1).
The entry into force of the
EU Gigabit Infrastructure Act (GIA)
is an opportunity to review the
Danish legislation and improve conditions for investment. The Gigabit Infrastructure Act Regula-
tion is set to take effect in November 2025 and member states need to ensure that national legisla-
tion does not contain any obstacles to its uniform and effective application. In this process, policy-
makers should consider implementing measures that could help overcome local barriers to the
rollout of high-capacity digital infrastructure and accelerate investments.
Moreover, policymakers could consider whether any existing financial burdens could be alleviated.
One of the levers to alleviate financial burdens on operators is for example spectrum fees. While we
have not investigated the effect on investment in the Danish context specifically, lower spectrum
fees can under certain conditions alleviate the financial burden on the sector and strengthen opera-
tors’
ability and incentives to invest.
126
A possible approach entails converting spectrum fees into
specific investment targets and aligning administrative procedures with the wider policy goals of
promoting efficient investments.
4.2.3 Competition law sets boundaries for operators’
ability
to
collaborate and consolidate
As we describe in this section, different forms of collaboration and consolidation between operators
can increase their incentives to invest by achieving greater scale and can be associated with several
benefits. Any form of collaboration needs to comply with general competition law and benefits need
to outweigh any harm from a reduction of competition. While competition authorities will continue
to scrutinise proposed consolidations and collaborative agreements on their merits, there is cur-
rently a growing policy impetus in Europe towards a more thorough consideration of non-price ben-
efits, such as innovation and investment enabled by greater scale. This is reflected in the approval
i.e. clearance of
a ‘four-to-three’ merger between Vodafone and 3UK
by the UK Competition and
Markets Authority.
Recent policy reports have suggested that low returns on investment and lack of scale are associated
with how regulators have historically disincentivised consolidation and favoured infrastructure-
126
See footnote 94.
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based competition.
127
One the one hand, different forms of collaboration and consolidation can allow
greater scale and result in lower average costs if operators can spread their costs efficiently across a
larger user base, thereby supporting increased incentives to invest. On the other hand, market frag-
mentation may adversely affect operators’ scale and agility to adapt to technological changes.
128
However, collaboration between competitors can also reduce competitive pressure between them,
which can in some cases reduce incentives to invest. Competition authorities scrutinise different
forms of in-market collaboration and consolidation in accordance with competition law and seek to
strike the balance between reaping the benefits from economies of scale while preserving sufficient
competition on prices and on quality, e.g. through network investments. This trade-off has been
central to concerns voiced by some policy makers and industry stakeholders alike.
129
,
130
Different forms of collaboration and consolidation to reduce the need for network duplication and
achieve economies of scale include:
Co-investments
where two or more operators invest together in network infrastructure,
Network-sharing agreements
where e.g. operators share the fibre infrastructure used
to provide fixed broadband access or share basic site infrastructure, radio access networks
or spectrum for mobile broadband, and
Mergers
where two or more companies consolidate into a single entity.
From an economic perspective, these types of collaboration and consolidation can result in benefits
to consumers. Plausible benefits include cost reductions to the extent they are passed on to consum-
ers, and enhanced ability to invest in higher-quality networks.
131
Some empirical analysis suggests
that the impact of mergers on industry investment and quality has typically been positive.
132
How-
ever, other authors have found that consolidation in the telecommunications sector may lead to
higher prices for users with limited positive effects
133
and that the impact on total investments is not
conclusive
134
. On the whole, the available evidence and regulatory case practice suggest that the ef-
fects depend crucially on the design of the transaction or collaborative arrangement and the market
circumstances. It is therefore important that each transaction is assessed on its merits, recognising
both the price
effects and implications for operators’
incentives and ability to engage in quality-
127
128
129
130
131
132
133
134
Draghi (2024), The future of European competitiveness - In-depth analysis and recommendations (link), p. 70.
Other authors include e.g., Letta (2024), Much more than a market - Speed, Security, Solidarity (link), pp. 52, where the
author points to how competition authorities’ approach may have contributed to the lack of scale of telecom operators in the
EU. E.g., “an
antitrust approach focused on market entry when evaluating mergers led to the same result
[“of
excessive
small-scale, territorial focused operators”]”.
For example, in October 2023, the
European commissioner for the Internal market argued that “Telecoms
operators need
scale and agility to adapt to this technology revolution, but market fragmentation holds them back. Too many regulatory
barriers to a true telecoms Single Market still exist, on spectrum acquisition, consolidation, legacy networks, security, and
so on”.
See
Commissioner Breton’s Linkedin blog post, 10 October 2023
(link).
See e.g., Letta (2024), Much more than a market - Speed, Security, Solidarity (link).
European Commission (2024), White Paper -
How to master Europe’s digital infrastructure needs? (link).
See European Commission (2023), Guidelines on the applicability of Article 101 of the Treaty on the Functioning of the Eu-
ropean Union to horizontal co-operation agreements (link); European Commission (2004), Guidelines on the assessment of
horizontal mergers under the Council Regulation on the control of concentrations between undertakings (link) and
European Parliament and the Council (2018). Directive (EU) 2018/1972.
See, e.g., Padilla (2024) Do Four-to-Three Mobile Mergers Harm Consumers? A Deep-Dive into the UK Market (link).
European Commission (2024), Protecting competition in a changing world, Evidence on the evolution of competition in the
EU during the past 25 years, (link), p. 131.
Genakos, Valletti, and Verboven (2018). Evaluating market consolidation in mobile communications. Economic Pol-
icy, 33(93), 45-100 (link).
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enhancing investments and innovation.
In practice, case law confirms that competition authorities’
scrutiny has frequently led to interventions, e.g. through the imposition of structural remedies forc-
ing operators to divest network assets or spectrum, see Box 4.
Box 4 Collaboration and consolidation in telecoms is closely scrutinised
Different examples across Europe illustrate how some operators have struggled to get regula-
tory approval for in-market collaboration and consolidation.
Since 2012, almost all mergers in Europe that reduce the number of players from four to three
we conditional on structural commitments imposed by competition authorities, such as di-
vesting spectrum to new entrants.
135
In 2020, following a decision by the European Commission, operators engaging in a network
sharing agreement in Czechia had to make a set of commitments to address competition
concerns.
136
In Italy, in 12 months between 2020 and 2021, “four investigations or decisions [were] con-
ducted in relation to domestic network sharing deals (…)”. The deals that were cleared “are
subject to strict commitments relating to non-discriminatory access and transparency.”
137
In 2024, a merger between MasMovil and Orange in Spain was cleared but only with sub-
stantial commitments.
In 2024, the Belgian Competition Authority opened an investigation into a proposed joint in-
vestment in Belgium between Proximus and Telenet.
138
In Denmark, regulators have also scrutinised collaboration and consolidation closely in several
cases, which may have reduced the potential for more economies of scale:
In 2012, the Danish Competition and Consumer Authority analysed a network-sharing agree-
ment between Telia and Telenor, imposing conditions to clear the agreement.
139
In 2015, Telenor and Telia abandoned a proposed merger following an in-depth investigation
by the European Commission.
140
Recently (2024), the Danish Competition and Consumer Authority concluded its investigation
into Norlys' purchase of Telia's Danish business, imposing several conditions to clear the
agreement.
141
While existing competition rules already recognise that pro-competitive effects of collaborative ar-
rangements may outweigh competition risks in some circumstances,
142
there is a growing policy
135
136
137
138
139
140
141
142
Copenhagen Economics (2024), VODAFONE/3 UK: Signs of A new playbook for mobile mergers? (link).
Foros, Hansen, and Vergé (2023), Co-operative investment by downstream rivals: network sharing in telecom markets
(link); Maier-Rigaud, Ivaldi, and Heller (2020), Cooperation Among Competitors: Network Sharing Can Increase Con-
sumer Welfare (link).
CMS (2021), The latest trends in network sharing regulation - a snapshot (2018-2021) (link).
Telecompaper (2024), Belgian competition watchdog confirms investigation into Proximus, Telenet fibre alliance (link).
Danish Competition and Consumer Authority (2012), Radio Access Network sharing agreement between Telia Denmark
A/S and Telenor A/S (link).
European Commission (2015), Statement by Commissioner Vestager on announcement by Telenor and TeliaSonera to with-
draw from proposed merger (link).
Danish Competition and Consumer Authority (2024),
The Competition Council intervenes in Norlys’ acquisition of Telia
Company AB’s Danish activities
(link).
For example, the recently revised Guidelines on horizontal agreements includes new guidance for the assessment of mobile
telecommunications infrastructure sharing and recognise potential benefits that come from cost reductions or quality im-
provements. See European Commission (2023), Questions and Answers on adoption of the new Horizontal Block Exemp-
tion Regulations and Horizontal Guidelines (link).
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impetus in the EU whereby several authors and stakeholders, including Draghi, propose that com-
petition authorities put an even greater emphasis on the pro-competitive effects of mergers such as
innovation and investment.
143
The European Commission has also recognised in 2021 the need of
competition policy to contribute
to the EU’s main
economic and societal challenges, including the
digital transition and the need for investments in digital infrastructure.
144
,
145
These ‘non-price’ as-
pects are seen as crucial for innovation and network resilience, and as enablers of the green transi-
tion.
As already became evident in the UK with the approval i.e. clearance of the Vodafone/3UK merger
by the Competition and Markets Authority (CMA)
146
, authorities across Europe may, going forward,
place a greater emphasis on thoroughly assessing innovation and investment related benefits in re-
views of consolidations and network sharing, and consider behavioural remedies. Each transaction
is still expected to face scrutiny and require appropriate economic evidence to substantiate that
benefits achieved through a merger and associated remedies will indeed materialise and would not
be possible otherwise.
While it is premature to determine how the Commission and national authorities will, in practice,
conduct the ‘balancing act’ between costs and benefits going forward, we foresee at least three im-
portant aspects that appear to warrant consideration:
First,
competition authorities can consider whether and how an assessment of collaboration be-
tween operators should account for
non-price benefits,
including efficiencies that accrue to the
consumers, that are (conceivably) harmed by a reduction in competition, in the form of increased
connectivity and higher-quality services. Economic tools are available to quantify benefits derived
from, for example, enhanced quality of services associated with network investments enabled by a
collaborative arrangement or a merger.
Second,
authorities may need to consider a
longer time horizon to assess the claimed bene-
fits.
While any adverse effects on competition manifested through higher prices are more likely to
take effect in the short-term, benefits from investments such as higher-quality networks may only
materialise in the longer term.
143
144
145
146
For example, Draghi (2024) proposes
that “In
the
EU’s rules for clearing mergers
[including in the telecom sector],
in-
crease the weight of innovation and investment commitments, as well as efficiencies in the form of improved quality vis-
à-vis price levels through extended assessment timelines”.
Other authors (see e.g., Duso, Motta, Peitz, and Valletti (2024))
have opposed the views that competition law need to have a different approach to consolidation in telecommunications
markets, arguing that “Empirical
evidence consistently shows that telecoms mergers lead to higher prices and are unlikely
to boost investment”.
See e.g., European Commission (2021), Competition: Commission outlines contribution of competition policy and its review
to green and digital transition, and to a resilient Single Market (link). As noted by the European Commission,
“Connectivity
networks are particularly important for the development of the digital economy and society, and are relevant to virtually
all businesses and consumer”.
For example, the European Commission emphasises that “To
increase the cost-effectiveness of their network roll-out, the
Commission encourages private operators to cooperate in so-called
“network sharing”, whilst ensuring that this is done
without unduly reducing competition”
(European
Commission (2021), Communication from the Commission to the Euro-
pean Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions, A competi-
tion policy fit for the new challenges (link), pp. 12-13).
The CMA found that 5G network investment commitments in tandem with short-term price commitments for both retail
and wholesale customers would (i) be sufficient to address competition concerns; and (ii) boost competition in the longer
term. See CMA (2024), Press Release, CMA clears Vodafone / Three merger, subject to legally binding commitments, (link).
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Third,
authorities may consider on a case-by-case basis which
least intrusive combination of
remedies
can protect competition while also the pro-competitive effects of collaboration. Where
relevant, the commitments required to approve e.g. a merger or network sharing agreement should
be strictly required to mitigate otherwise potential harms to consumers. Competition authorities
consider in each case i) whether structural remedies reduce the benefits of consolidation and ii)
whether behavioural remedies may be appropriate and sufficient to safeguard competition. For ex-
ample, the CMA in the UK has in the cleared Vodafone / Three merger considered new types of be-
havioural remedies that seek to prevent price increases and require investment commitments from
the merging operators.
147
147
The legally binding commitments for this merger are: (i)
“Delivery
of the joint network plan, which sets out the network
upgrade, integration and improvements Vodafone and Three will make to their combined network across the UK over the
next 8 years. The group has concluded that by significantly improving the quality of the combined network, the full imple-
mentation of this plan would boost competition between the mobile network operators in the long term, benefiting mil-
lions of people who rely on mobile services.”
(ii) “Capping
selected mobile tariffs and data plans for 3 years, directly pro-
tecting large numbers of Vodafone / Three customers from short-term price rises in the early years of the network plan.”
(iii) “Offering
pre-set prices and contract terms for wholesale services (again for 3 years) to ensure that virtual network
providers can obtain competitive terms and conditions as the network plan is rolled out.”
See CMA (2024), Press Release,
CMA clears Vodafone / Three merger, subject to legally binding commitments, (link).
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HI3G Denmark (2019). Annual Report for 2019, Available here.
HI3G Denmark (2020). Annual Report for 2020, Available here.
HI3G Denmark (2022). Annual Report for 2022, Available here.
HI3G Denmark (2023). Annual Report for 2023, Available here.
International Telecommunication Union (2020). Balancing infrastructure sharing
The Danish
experience, Available here.
Klimadatastyrelsen. Hovedtal dataark, 2. halvår 2023, Available here. (Accessed: 7 October 2024)
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October 2024)
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Orange (2020). 5G : energy efficiency “by design”, Available
here.
Oxera (2003). Assessing profitability in competition policy analysis, Economic Discussion Paper 6,
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Statistics Denmark. Befolkningstal, Available here. (Accessed: 15 October 2024)
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(Accessed: 7 October 2024)
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7 October 2024)
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ber 2024)
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Styrelsen for Dataforsyning og Infrastruktur (2022). Otte gode råd til kommuner om mastesager,
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Telecom Advisory Services (2020). Assessing the Economic Potential of 10G Networks, Available
here.
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Telia Company (2022). Year-end report January - December 2022, Available here.
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Thomson Reuters. Practical Law - Glossary, Available here. (Accessed: 7 October 2024)
Tænketanken for Digital Infrastruktur. Available here. (Accessed: 7 October 2024)
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APPENDIX
METHODOLOGY
In this Appendix, we describe the methodology behind the key quantifications in the report. The
methodology is presented in the order in which it is used in the text:
Input-output modelling: Estimate the economic impact of the telecommunications
sector’s
operations. This is used to estimate
the sector’s contribution to GDP and employment
(Section 1.1).
Input-output modelling: Estimate the economic impact of the telecommunications
sector’s
investments. This is used to estimate the economic effects of investments in the sector
(Sections 1.2 and 3.2.1).
How digital infrastructure drives economic growth by boosting productivity. This is used
to estimate the impact of improved digital infrastructure on GDP (Sections 2.1 and 3.2.2).
How digital infrastructure enables the green transition by reducing CO2 emissions. This is
used to estimate the telecommunications sector's role in reducing CO2 emissions (Sections
2.2 and 3.2.3).
The cost of a breakdown in digital infrastructure for Danish companies. This is used to es-
timate the potential financial impact of infrastructure failures related to e.g. cyber attacks
(Section 2.3).
Financial performance of the telecommunications sector in terms of return on capital em-
ployed (ROCE). This is used
to evaluate the sector’s financial performance (Section 4.1.2).
INPUT-OUTPUT MODELLING: ECONOMIC FOOTPRINT OF
THE TELECOMMUNICATIONS SECTOR’S
OPERATIONS
In Section 1.1, we estimate the economic impact of the telecommunications sector in Denmark by
using an input-output (IO) model based on tables from Statistics Denmark.
148
The IO model pro-
vides insights into how the telecommunications sector interacts with the broader economy by cap-
turing the flow of goods and services between industries. This allows us to estimate the direct, indi-
rect, and induced effects of the telecommunications sector on the Danish economy.
The
direct effects
reflect the immediate economic activity generated by the telecommunications
sector in Denmark, such as GDP and job creation within the sector itself.
The
indirect effects
arise from the sector's demand for inputs from other industries. For example,
when the telecommunications sector purchases equipment or services from other sectors, it stimu-
lates economic activity along its supply chain. These indirect effects are calculated using multipliers
derived from the IO tables.
The
induced effects
capture the additional economic activity generated by employees in the tele-
communications sector and its supply chain spending their wages on goods and services. This con-
sumption drives further demand and supports additional jobs in the broader economy.
We have excluded intra-industry purchases within the telecommunications sector to avoid double
counting.
148
Statistics Denmark, Input-output (link)
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We use the IO tables from Statistics Denmark to model these effects, which describe the inter-in-
dustry linkages specific to the Danish economy. The Danish IO tables include all activity across 69
distinct economic sectors and include both domestic purchases and imports.
Our analysis focuses solely on the Danish context, ensuring that the results are tailored to the struc-
ture and characteristics of Denmark's economy.
INPUT-OUTPUT MODELLING: EFFECTS OF TELECOMMUNI-
CATIONS SECTOR’S INVESTMENTS
In addition to estimating the overall economic footprint of the telecommunications sector, we use
the IO model to estimate the specific impact of investments made by the sector in Section 1.2. The
following four steps outline our approach.
1) Revenue-Multipliers for GDP and Employment:
We first estimate
revenue-multipliers
using the IO model. These multipliers describe the direct,
indirect, and induced effects of revenue in each of the 69 sectors in the economy on GDP and em-
ployment. They provide the basis for understanding how each unit of revenue generates economic
activity across the Danish economy.
Direct multipliers capture profits, product taxes, and salaries in the sector. Indirect multipliers cap-
ture purchases of intermediary goods and services from domestic companies.
149
Induced multipliers
capture when employees in the sector spend their salaries.
2) Sectoral Breakdown of Investment:
Using the five most recent IO investment tables (2015-2019),
150
we estimate the average distribu-
tion of investments made by the telecommunications sector across the 68 other sectors. This helps
us understand which sectors benefit from these investments. Additionally, we calculate the share of
investments that remain within the domestic economy versus those used to import goods and ser-
vices.
151
3) Estimation of 2023 Investment Allocation:
We apply the shares estimated in Step 2 to recent data on the telecommunications sector’s invest-
ments from Klimadatastyrelsen for 2023.
152
This allows us to estimate how these investments were
distributed across sectors, how much of the investment remained within Denmark and how much of
the investments are used to import goods and services from other countries.
4) Multiplying by Revenue-Multipliers:
Finally, we apply the multipliers from Step 1 to the sectoral breakdown from Step 3. By doing this,
we calculate the direct, indirect, and induced effects of the 2023 telecommunications sector invest-
ments in different sectors on GDP and employment in Denmark.
149
150
151
152
When the sum of direct and indirect is below 1, it is due to purchases from foreign suppliers.
Statistics Denmark, Input-output - Danish Investment matrices (DB07) (link).
See
Error! Reference source not found..
Klimadatastyrelsen (2024), Økonomiske Nøgletal for Telebranchen 2023 (link).
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EFFECTS OF DIGITAL INFRASTRUCTURE ON PRODUCTIV-
ITY AND ECONOMIC GROWTH
In Sections 2.1 and 3.2.2, we estimate the effect on GDP of advancements in i) increase in fixed
broadband download speeds, and ii) increase in mobile and fixed broadband adoption. The follow-
ing outlines our approach.
The effect on GDP of increasing fixed broadband download speeds
1) GDP increase due to an increase in broadband download speeds
We use the results from Telecom Advisory Services (2020)
153
, who find that a 100 per cent increase
in fixed broadband download speeds lead to a 0.26 per cent increase in GDP for download speeds
between 10 Mbps and 40 Mbps, and a 0.73 per cent increase in GDP for download speeds above 40
Mbps.
2) Annual growth in fixed broadband download speeds
We use data from Klimadatastyrelsen on the median download speeds between 2013 and 2023. To
forecast the future development of fixed broadband download speeds, we consider two scenarios,
which we construct based Cisco (2020)
154
who estimate that download speeds will continue to grow
at a CAGR of 19.2 per cent.
In the
optimistic scenario,
we assume that download speeds will grow at the Cisco fore-
casted CAGR plus 5 per cent, resulting in a projected CAGR of 24.2 per cent.
In the
conservative scenario,
we apply the Cisco forecasted CAGR minus 5 per cent,
giving a projected CAGR of 14.2 per cent.
Then, we calculate the annual growth in the median download speed between 2014 and 2030, both
in the optimistic and conservative scenario.
3) Annual GDP contribution from increased download speeds
Finally, we calculate the annual GDP contribution from increased download speeds by combining
the estimate from step 1) by the annual growth in the median download speed from step 2).
The effect on GDP of increasing fixed and mobile broadband adoption
1) GDP increase due to an increase in mobile and fixed broadband adoption
We use the results from Briglauer, Cambini, and Gugler (2023)
155
, who find that a 1 per cent in-
crease in fixed broadband adoption (measured in subscriptions per capita) leads to an increase in
GDP between 0.026 per cent and 0.034 per cent. For mobile broadband adoption, they find that a 1
per cent increase leads to a GDP increase between 0.079 per cent and 0.088 per cent.
153
154
155
Telecom Advisory Services (2020), Assessing the Economic Potential of 10G Networks (link).
Cisco Annual Internet Report (2018-2023) White Paper (link).
Briglauer, Cambini, and Gugler (2023) Economic benefits of high-speed broadband network coverage and service adoption:
Evidence from OECD member states (link).
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2) Annual growth in mobile and fixed broadband adoption
We use information from OECD on the number of subscribers per capita for mobile
156
and fixed
157
broadband in Denmark from 2013 to 2023. Using this data, we calculate the annual growth in mo-
bile and fixed broadband adoption. Due to stagnation in adoption in recent years, we do not con-
sider the future effect of mobile and fixed broadband adoption on GDP. Therefore, we do not fore-
cast adoption.
3) Annual GDP contribution from increased mobile and fixed broadband adoption
Finally, we calculate the annual GDP contribution from increased mobile and fixed broadband
adoption by combining the estimates from step 1) by the annual growth in adoption from step 2).
ENABLING THE GREEN TRANSITION BY REDUCING CO2
EMISSIONS
In Sections 2.2 and 3.2.3, we estimate the environmental benefits of increased network energy effi-
ciency. In particular, we estimate the CO2 emissions avoided due to historical and future improve-
ments in the mobile and broadband network’s
electricity consumption. The following four steps
outline our approach.
1) Total amount of data traffic in the Danish mobile and fixed broadband network
First, we estimate the total amount of traffic, measured in units of data, in the Danish mobile and
fixed broadband network. To do this, we use information on the total data traffic in TDC Net’s en-
tire network between 2019 and 2023
158
. To estimate the total data traffic in all of Denmark, we first
estimate how much of the total traffic is in the mobile and fixed broadband network, respectively.
To do this, we use information on the total up and download traffic at the consumer level in the
fixed
159
and mobile
160
broadband network. Combining this with TDC’s network market shares in the
fixed
161
and mobile
162
broadband network markets, we calculate the total amount of data traffic in
Denmark.
We forecast the total amount of data traffic in the Danish mobile and fixed broadband network until
2030 using a CAGR of 20 percent, and 18 per cent for the mobile and fixed broadband traffic, re-
spectively.
163
2) Electricity consumption per unit of data traffic
Second, we estimate the amount of electricity consumed by the network to deliver a unit of data. To
do this, we use information on the energy intensity, i.e. the amount of electricity (MWh) consumed
per unit of data (PB), in TDC Net’s network between 2019
and 2023
164
. We assume that the rest of
the Danish network consumes the same amount of electricity per unit of data as TDC Net’s network.
156
157
158
159
160
161
162
163
164
OECD, Going Digital Data Kitchen - Mobile Broadband (link)
OECD, Going Digital Data Kitchen - Fixed Broadband (link)
TDC Net (2023), Annual Report 2023 (link).
Klimadatastyrelsen, Internet dataark, 2. halvår 2023 (link).
Klimadatastyrelsen, Hovedtal dataark, 2. halvår 2023 (link).
TDC (2016), Svar på Erhvervsstyrelsens høring om bredbåndsmarkeder (link).
TDC Net (2023), Annual Report 2023 (link).
Arthur D. Little (2023), The evolution of data growth in Europe (link).
TDC Net (2023), Annual Report 2023 (link).
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We forecast electricity consumption per unit of data traffic in two scenarios.
In the
optimistic scenario,
we assume that the network’s total electricity consumption
remains constant. This is in line with Ericsson’s finding that there does not seem to be a
correlation between data traffic and electricity consumption.
165
In addition, we use fore-
casts for data traffic growth in Denmark by Arthur D. Little, who estimate a 20 per cent
and 18 per cent compound annual growth rate (CAGR) for mobile and fixed data traffic,
respectively.
166
Combined, the electricity consumption and data traffic forecasts result in
an acceleration of network energy intensity reductions, from a historic CAGR of -9.5 per
cent between 2019 and 2023, to a CAGR of -15.5 per cent from 2024 to 2030.
In the
conservative scenario,
we assume that the network energy intensity continues to
decrease at the historical rate, that is a CAGR of -9.5 per cent (from 12.14 MWh per PB of
data in 2019, to 8.15 MWh per PB of data in 2023).
3) CO2 intensity of electricity
Third, we use information on the average amount of CO2 used to produce and deliver one unit of
electricity, i.e. the annual average CO2 intensity of electricity. We use historical and forecasted val-
ues from Energinet.
167
4) Calculate the avoided emissions due to improvements in network energy efficiency
Finally, we calculate the avoided emissions due to improvements in network energy efficiency. We
calculate the annual emissions from the network’s electricity consumption as the product of the to-
tal data traffic from step 1), the electricity consumption per unit of data from step 2), and the CO2
intensity of electricity from step 3).
To calculate the historical avoided emissions, we present in Section 2.2, we calculate the difference
in emissions in two scenarios: 1) the scenario where the electricity consumption per unit of data
traffic decreases, from 12.14 MWh/PB in 2019, to 8.15 MWh/PB in 2023, and 2) the scenario where
the electricity consumption per unit of data traffic remains constant at the 2019-level of 12.14
MWh/PB. The difference in emissions allows us to isolate the emissions avoided due to improve-
ments in the energy efficiency of the network.
To calculate the future avoided emissions, which we present in Section 3.2.3, we follow the same ap-
proach as for the historical avoided emissions. We consider the difference between a scenario where
the energy efficiency of the network keeps decreasing until 2030, and a scenario where the energy
efficiency of the network remains at the 2023-level of 8.15 MWh/PB.
165
166
167
Ericsson (2023), ICT energy - The energy use and enablement effect of the Information and Communication Technology
Industry (link).
Arthur D. Little (2023), The evolution of data growth in Europe (link), Table 1 and 2.
Energinet (2023), Baggrundsdata for Miljøberetningen 2023 (link).
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THE POTENTIAL COST OF A BREAKDOWN IN OPERATIONS
FOR DANISH COMPANIES RELATED TO A BREAKDOWN IN
DIGITAL INFRASTRUCTURE
In Section 2.3, we estimate the potential cost of a telecommunications breakdown for companies in
Denmark to highlight the risks of inadequate digital infrastructure protection against cyber-attacks.
Our approach uses two key factors: the average cost of a one-hour breakdown for large and smaller
companies and the number of large and smaller companies (i.e. more than 250 employees and be-
tween 10 and 249 employees) in Denmark. By multiplying these two, we estimate the hourly cost of
a nationwide telecommunications outage causing a halt in operations.
We use an average cost of DKK 2.3 million per hour for large companies and between DKK 57,000
177,000 for smaller companies, based on an estimated average downtime cost of USD 5,600 per
minute for large companies and USD 137 to 427 per minute for smaller companies.
168
This was con-
verted to DKK by multiplying by 60 (for minutes) and applying the 2023 average USD/DKK ex-
change rate of 6.8895.
169
For example, the estimate for large companies is calculated as 5,600 * 60 *
6.8895, which equals DKK 2.31 million.
We assume that the cost per minute can be linearly expanded to estimate the hourly cost associated
with downtime. This might be an overestimation if companies can adjust their operations. However,
since we do not have any evidence of how the cost would develop over time, we assume linearity.
According to 2022 data from Statistics Denmark, there were 927 large companies and 24,456
smaller companies in Denmark in 2022.
170
Based on this, we estimate that a nationwide breakdown
would cost these companies between DKK 3.5 and 6.5 billion per hour.
FINANCIAL PERFORMANCE OF THE TELECOMMUNICA-
TIONS SECTOR IN TERMS OF RETURN ON CAPITAL EM-
PLOYED (ROCE)
In Section 4.1.2, we estimate the return on capital employed (ROCE) of different Danish telecoms
operators
TDC Net, Three Denmark (3DK), Telenor (Telenor DK), Telia (Telia DK) and Norlys Fi-
bernet
based on publicly available financial statements. We use this to evaluate how well the sec-
tor performs under current market conditions.
ROCE is a before-tax measure of the operating return on debt plus equity and was calculated ac-
cording to the following formula:
���������������� =
����������������
���������������������������� ��������������������������������
, where
���������������������������� �������������������������������� = �������������������� ������������������������ − ���������������������������� ��������������������������������������������
The financial information used and calculations for each operator is presented below.
168
169
170
Forbes (2022), How to Guard Against The Cost Of Unplanned Downtime And Network Outages (link) and Pingdom (2023),
Average Cost of Downtime per Industry (link).
See e.g. Exchange-rates.org, US Dollar (USD) To Danish Krone (DKK) Exchange Rate History for 2023 (link).
See Statistics Denmark. FGF3: Preliminary general enterprise statistics by industry (link).
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Table 1
ROCE calculation for TDC NET
(million DKK)
METRIC
(a) Revenue
(b) EBITDA
(c) EBIT
(d) Total assets
(e) Total equity
(f) Total liabilities
(f1) non-current
(f2) current
(g) Capital Employed (d-f2)
(h) Investments
(i) ROCE (c/g)
Source:
2019
7,050
4,415
1,043
27,826
8,152
19,674
15,979
3,695
24,131
2,841
4.3%
2020
6,828
4,434
1,409
28,583
8,756
19,827
15,853
3,974
24,609
2,759
5.7%
2021
6,674
4,498
2,036
30,244
9,796
20,448
14,165
6,283
23,961
2,985
8.5%
2022
6,639
4,520
1,979
36,420
2,964
33,456
25,848
7,608
28,812
2,579
6.9%
2023
6,461
4,695
1,691
34,716
1,867
32,849
23,315
9,534
25,182
2,323
6.7%
Copenhagen Economics based on TDC Net (2023), Annual Report 2023 (link); TDC NET (2021), Annual
report (2021) (link); and TDC Net (2020), Annual Report 2020 (link).
Table 2
ROCE calculation for Three Denmark (3DK)
(million DKK)
METRIC
(a) Revenue
(b) EBITDA
(c) EBIT
(d) Total assets
(e) Total equity
(f) Total liabilities
(f1) non-current
(f2) current
(g) Capital Employed (d-f2)
(h) Investments
(i) ROCE (c/g)
Source:
2019
2,736
755
400
4,658
3,625
1,033
503
529
4,129
194
9.7%
2020
2,741
603
234
4,037
2,869
1,169
426
742
3,295
153
7.1%
2021
2,787
645
21
4,350
2,842
1,508
781
726
3,624
685
0.6%
2022
2,905
626
-717
3,936
2,253
1,683
981
702
3,234
768
-22.2%
2023
2,899
528
35
3,866
2,240
1,626
852
773
3,093
373
1.1%
Copenhagen Economics based on HI3G Denmark (2019), Annual Report for 2019 (link); HI3G Denmark
(2020), Annual Report for 2020 (link); and HI3G Denmark (2023), Annual Report for 2023 (link).
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Table 3
ROCE calculation for Telenor DK
(million DKK)
METRIC
(a) Revenue
(b) EBITDA
(c) EBIT
(d) Total assets
(e) Total equity
(f) Total liabilities
(f1) non-current
(f2) current
(g) Capital Employed (d-f2)
(h) Investments
(i) ROCE (c/g)
Source:
2019
4,064
1,102
460
5,426
1,851
3,575
2,421
1,154
4,272
569
10.8%
2020
4,013
968
291
5,518
1,801
3,717
2,431
1,286
4,232
616
6.9%
2021
3,914
998
312
6,131
2,586
3,545
2,312
1,233
4,898
457
6.4%
2022
3,690
869
199
9,312
5,967
3,345
2,127
1,218
8,094
388
2.5%
2023
3,775
817
110
9,354
5,361
3,993
2,557
1,436
7,918
335
1.4%
Copenhagen Economics based on Telenor (2023), Annual report for the period 1 January
31 Decem-
ber 2023 (link).
Table 4
ROCE calculation for Telia (estimates for Denmark based on group level data)*
(million DKK)
METRIC
(a) Revenue Telia Group
(b) Total assets
(c) Total current liabilities
(d) Capital Employed (b-c)
(e) Revenue Telia DK
(f) Share of DK revenues (e/a)
(g) Capital Employed DK (f*d)
(h) EBIT Telia DK
(i) ROCE (h/g)
Note:
2019
85,965
264,072
50,287
213,785
5,675
7%
14,113
-45
-0.3%
2020
89,191
226,683
40,101
186,582
5,464
6%
11,430
-25
-0.2%
2021
88,343
237,025
42,746
194,279
5,214
6%
11,466
-299
-2.6%
2022
90,827
222,793
42,741
180,052
5,298
6%
10,503
-594
-5.7%
2023
88,785
226,468
54,158
172,310
5,679
6%
11,022
-253
0.0%
Source:
*The available annual report did not contain i) balance sheet information for operations in Denmark and
ii) the EBIT for Telia Denmark in 2023. The following adjustments were made to allow an estimation of the
return of capital employed: i) The capital employed for Telia Denmark was calculated based on group
level capital employed assuming a split proportional to the weight of Danish revenues on the total reve-
nues of the group; ii) EBIT for 2023 corresponds to the average annual EBIT margin (relative to revenues)
as that of period 2019-2022. iii). The official currency exchange rates from the Danish Central Bank were
used to convert SEK to DKK to enable aggregation with data from other operators.
Copenhagen Economics based on Telia Company (2020), Annual and Sustainability Report 2020 (link);
Copenhagen Economics based on Telia Company (2022), Annual and Sustainability Report 2022 (link);
and Copenhagen Economics based on Telia Company (2023), Annual and Sustainability Report 2023
(link).
67
DIU, Alm.del - 2024-25 - Bilag 45: Socioøkonomisk analyse fra Dansk Erhverv om værdien af en fremtidssikret digital infrastruktur, udarbejdet af Copenhagen Economics
2965785_0069.png
ARPU CALCULATION
Table 5
ARPUs of telecom operators in Denmark (2022)
OPERATOR
REVENUE (DKK)
USERS
ARPU (DKK/MONTH)
Mobile
Telenor DK
1
Telia DK
2
Three Denmark
3
Fixed
TDC Net
4
Note:
n/a
2,681,371,440
2,821,045,500
n/a
1,712,000
1,513,570
102.9
130.5
153.0
2,576,000,000
1,192,000
180.1
Source:
1) Mobile ARPU for Telenor was retrieved directly from the
Telenor groups’
Q4 2022 financial report; 2) We
considered the Total service revenues in Denmark (reported in the
group’s
Q4 2022 financial report, and
the number of mobile subscriptions in Denmark (reported in the
group’s cover Annual and sustainability
report 2022). Values in SEK were converted to EUR, using a 0.088 conversion rate; 3) We consider total
revenues and the number of mobile subscribers at the end of 2022; 4) We considered the reported ser-
vice revenue and the total number of broadband revenue generating units.
Copenhagen Economics based on 1) Telia Company (2022), Year-end report January - December 2022
(link), p. 8; 2) Telia Company (2022), Year-end report January - December 2022 (link) and Telia Company
(2022), Annual and Sustainability Report 2022; 3) HI3G Denmark (2022), Annual Report for 2022 (link); 4)
TDC Net (2022), Annual Report 2022 (link).
68