Mediterranean Economies 2023
DOI: 10.1401/9788815411167/c6
Between 2017 and 2022, Malta’s
aggregate DESI score grew slightly more than expected by the convergence curve, meaning it
improved at a marginally higher pace than the score of the EU as a whole. A case in point is
the situation of Portugal, which ranks 15th of the 27 EU Member States in the 2022 edition
of the DESI, up one position from last year’s ranking. Portugal’s relative progress was
generally slightly below that of its peers, so there is room for the country to accelerate
its digitalization efforts. Indeed, it can be observed that despite an increase in its DESI
overall score in the period 2017-2022, its position in comparison to the EU average worsened
over time, shifting from +0.5 per cent in 2017 to –1.7 per cent in 2022. As for Italy, its
position in the EU ranking improved by two points thanks to significant investments in
digitalization which explains the highest variation among EuroMed nations between the period
¶{p. 195}2017-2022 in its overall score (21.1 per cent). Indeed, Italy is
catching up and, looking at the progress of its DESI score over the past five years, it is
advancing at a considerable pace. In recent years, digital issues have gained political
traction notably with the establishment of a ministry responsible for digital affairs, the
adoption of several key strategies and the launch of many policy measures. However, this
huge effort was not enough to align the country with the EU average, as it is still way
below, together with Greece, Croatia, Cyprus and Portugal. However, it is also worth noting
that the relative gap reduced from –6.8 per cent in 2017 to –3.2 per cent in 2022. Cyprus
also improved its position, climbing one step up from its 2011 ranking. Positively, the
country’s relative progress, considering its starting point, is above the expected rate,
indicating that it is converging to the EU average. As for Croatia, although its DESI score
grew slightly more than that of the EU between 2017 and 2022, its position in the 27 EU
Member States ranking slightly worsened. Finally, Greece maintained its position in the
ranking, but it is the worst performer among the EuroMed countries in terms of positive
variation of its DESI overall score and still below the EU average in 2022, with a gap that
even increased compared to 2017.
4.2. The four DESI dimensions (and selected indicators)
A more complete understanding of the
overall DSI scores reported in section 5.1 can be gained through comparative analysis among
EuroMed countries of each of the four DESI dimensions across the same temporal frame (i.e.,
2017-2020-2022).
4.2.1. The DESI sub-dimension of «Human capital»
Figure 2 shows the data relating to
human capital, a dimension that summarises the values of a number of basic indicators and
that, overall, measures the level and degree of diffusion of digital skills among the
population of EuroMed countries. A striking feature is that variations registered during
the three years appear to be quite contained although they prove positive over time for
all countries. This would suggest that changes affecting this
¶{p. 196}dimension are rather slow. As for specific numbers, all countries
have values of this dimension between about 9 and 14. Malta (14.1) confirms its highest
position, while Italy (9.1) occupies the last place in the EuroMed ranking. It is worth
observing that Malta also witnessed the highest growth rate between the years 2020 and
2022, while the highest average increase was observed between 2017 and 2020, perhaps due
to the onset of the pandemic, as in general it sustained the diffusion of digital skills
among the population. As for the contribution of human capital to the convergence among
EuroMed countries, it may be observed that the variability between countries has remained
constant over time, a sign that this specific DESI dimension has not contributed to the
convergence process between countries that was recorded in the DESI overall score.
¶
Figures 3 and 4 report the analysis
for selected indicators, respectively related to the two subdimensions of human capital,
i.e., the basic indicator of «at least basic digital skills» (as a measure of «internet
user skills») and the basic indicators of «ICT specialists» and «enterprises providing ICT
training» (as measures of «advanced skills and development»). As for digital skills, it is
worth reporting that basic data used to build the DESI are obtained by the European
Commission from a specific EU survey on ICT usage in households and by individuals. These
skills are specifically related to the following four dimensions: information,
communication, problem solving and software for content creation (as measured by the
number of activities carried out during the previous three months). Figure 3 shows that
Spain has the highest percentage of such individuals (64.2 per cent), followed by Croatia
(63.4 per cent) and France (62 per cent). Slovenia (49.7) and Italy (45.6) are positioned
at the bottom of the ranking. Importantly, although Malta is ranked fourth among EuroMed
countries, it witnessed the most significant increase across the period 2017-2022 that
accounts for almost twelve percentage points.
Although all countries (with the
exception of Slovenia) have improved their position over time it can be noted that the
best performing countries in 2022 are also those registering the highest positive
variation and that the change is more marked from 2020 to 2022. This evidence could mean
that the pandemic has pushed the population in these countries to become familiarised
¶{p. 198}with digital technology and ICT use. The marked negative trend
recorded in Slovenia from 2020 to 2022 is even more astonishing given that the indicator
initially grew from 2017 to 2020. As for Italy, the indicator assumes a fluctuating trend
over time, a signal that a clear long-term strategy is lacking.
¶
Finally, as regards variability,
the situation has gone from being much more homogeneous in 2017 and below the European
average for all Med countries, to a more heterogeneous situation in 2022, in which Spain,
Croatia, France and Malta ranked above the EU mean.
Figure 4 reports the data relating
to employed ICT specialists in the European Mediterranean countries, according to the
ISCO-08 classification including jobs like ICT service managers, ICT professionals, ICT
technicians, ICT installers and servicers. In general, the most striking feature is that
all EuroMed countries considered employed this type of workforce in a very low percentage,
ranging between 2 per cent and 5 per cent. Malta was the country with the largest number
of ICT specialists in 2022 (4.9 per cent), while the country that employed the least was
Greece (2.8 per cent). Despite the improvements recorded in all countries from 2017 to
2022, especially evident for Portugal and Cyprus while less marked for Italy and Croatia,
it emerged that the average of the Med countries, during the various DESI surveys, has
always been considerably below the EU average even though the gap has reduced over time.
As for convergence among countries, the box plot clearly shows that in 2022 the
heterogeneity among countries increased. Italy, Croatia and Greece are the most heavily
penalised countries, while Portugal and Cyprus, as stated above, recorded the most
significant variation.
As for investments made by firms in
ICT training for their personnel, figure 5 shows interesting and, to some extent,
counterintuitive evidence.
Except for Malta (recording an
increasing trend over time) and Spain (witnessing a decreasing trend over time), all
countries recorded first an increasing trend (from 2017 to 2020) and then a decreasing
trend (from 2020 to 2022) in terms of ad hoc investments in ICT employee training. This
evidence suggests that the COVID-19 pandemic outbreak drove firms in almost all EuroMed
countries to provide their employees with more technological support and training to
enhance their ICT knowled
¶{p. 200}ge and their digital capabilities so
that they could cope with the abrupt shift toward remote working. However, as office-based
or hybrid work is restored, there are likely to be fewer incentives (or resources) for
firms to train their staff.