Digital adoption in Europe and the United States

AuthorDésirée Rückert and Christoph Weiss, European Investment Bank Reinhilde Veugelers, KU Leuven, Bruegel and CEPR
Pages734-749
734
1. Introduction
2 Andrews, Criscuolo and Gal (2016) def‌ine global frontier f‌irms as the top 5 % of f‌irms in terms of labour productivity levels, within
each two-digit sector and in each year, across all countries since the early 2000s. All other f‌irms are def‌ined as laggards.
The adoption of digital technologies in the
business sector is spreading rapidly. Because
of its transformative impact on the economy
and the labour market, from both a creative
and a destructive angle, digitalisation is being
vigorously discussed by economists and
policymakers. On the one hand, there have
been numerous optimistic statements that
digitalisation will boost growth and productivity.
Yet, while digital technologies are expected to be
the drivers of economic growth and the Fourth
Industrial Revolution, so far there has been
little hard evidence of a signif‌icant productivity
boost. More than 30 years aer Robert Solow’s
(1987) statement ‘you can see the computer
age everywhere but in productivity statistics’,
productivity growth in advanced economies
remains subdued. At the same time, many people
fear that digital technologies can be a source of
disruption, leading to a more polarised economic
structure, with the benef‌its concentrated in a few
‘superstar f‌irms’, while many f‌irms and workers
will be on the losing side and will drop out.
Several recent studies provide evidence of this
polarisation and ‘winner-take-all’ markets linked
to the use of digital technologies. Andrews,
Criscuolo and Gal (2016) show an increasing
productivity gap between f‌irms at the global
frontier and laggard f‌irms2. The superstar f‌irms
at the global frontier are typically larger, more
innovative and have higher rates of digital-
technology adoption. There is also evidence
of rising concentration (Autor et al., 2017)
and increasing f‌irm mark-ups (De Loecker
and Eeckhoudt, 2017). In particular, mark-
ups are rising among f‌irms in the highest
decile of distribution of mark-ups within their
Summary
The growing digital divide in the global
corporate landscape between the technology
leaders and laggards has implications for
rising productivity polarisation. This raises
concerns in policy debates that the EU may
be falling behind in the digital technology
race, although there is little large-scale,
f‌irm-level evidence on digital adoption
for the EU and the US. With its innovative
approach, this chapter tries to contribute to
a more evidence-based policy discussion on
the digital divide.
Using a new survey on digital adoption by
f‌irms in the EU and the US, this chapter
identif‌ies digitalisation prof‌iles based on
the current use of digital technologies and
future investment plans in digitalisation. The
analysis conf‌irms the trend toward digital
polarisation and a growing digital divide in
the corporate landscape with, on one side,
many f‌irms that are not digitally active and,
on the other side, a substantial number of
digitally active f‌irms forging ahead. Old
small f‌irms, with fewer than 50 employees
and over 10 years old, are signif‌icantly more
likely to be persistently digitally non active.
They are also less likely to be innovative.
735
CHAPTER 14
industry, which is consistent with winner-takes-
all patterns (Diez et al., 2018). These trends
tend to be more pronounced in the sectors
where digital technologies – especially digital
services – are developed or intensely adopted
(Calligaris, Criscuolo and Marcolin, 2018).
In digital services, the leading companies –
including ‘big tech’ f‌irms, such as Alphabet
(Google’s parent company), Apple, Facebook,
Microso, Alibaba, and Huawei – are typically
from the United States or China. European
f‌irms are not present among either the big tech
or the leading digital R&D investors that push
the frontier of digital technology (EIB, 2018;
Veugelers, 2018). Evidence of the EU lagging
behind is mounting, especially in the services
sector, which is correlated with subdued
productivity growth in the EU (EIB, 2018).
Growing digital polarisation in the global
corporate landscape between the technology
haves and have-nots has implications for the
rising polarisation of productivity. This raises
concerns in policy debates that the EU may
be falling behind in the digital technology
race, being trapped on the wrong side of the
digital technology divide. Furthermore, it raises
the following questions: Are EU f‌irms stuck as
digital-technology-have-nots while US tech
f‌irms are forging ahead? What does this imply
for the EU’s innovation capacity?
Manufacturing Services
Region
EU28 456 432
West and North Europe 198 198
South Europe 122 89
Central and East Europe 146 145
US 411 389
Northeast 93 83
Midwest 126 136
South 106 82
West 86 88
Size
Micro (5-9) 143 172
Small (10-49) 291 333
Medium (50-249) 287 223
Large (250+) 146 93
Figure 14-1 Survey sampling in the EIB Digital and Skills survey
Science, research and innovation performance of the EU 2020
Source: Authors’ own elaboration
Note: West and North Europe: Austria, Belgium, Denmark, Finland, France, Germany, Ireland, Luxembourg, the Netherlands,
Sweden, and the United Kingdom. South Europe: Cyprus, Greece, Italy, Portugal, and Spain. Central and East Europe: Bulgaria,
Croatia, Czechia, Estonia, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, and Slovenia. US regions according to US Census
Bureau geography divisions.
Stat. link: https://ec.europa.eu/info/sites/info/f‌iles/srip/2020/partii/chapter14/f‌igure_14-1.xlsx

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