=Paper=
{{Paper
|id=Vol-2422/paper35
|storemode=property
|title=Digitalization as a Global Trend and Growth Factor of the Modern Economy
|pdfUrl=https://ceur-ws.org/Vol-2422/paper35.pdf
|volume=Vol-2422
|authors=Olena Kravchenko,Maryna Leshchenko,Dariia Marushchak,Yuriy Vdovychenko
|dblpUrl=https://dblp.org/rec/conf/m3e2/KravchenkoLMV19
}}
==Digitalization as a Global Trend and Growth Factor of the Modern Economy==
https://ceur-ws.org/Vol-2422/paper35.pdf
434
Digitalization as a Global Trend and Growth Factor of
the Modern Economy
Olena Kravchenko[0000-0002-9138-3988]
Bohdan Khmelnytsky National University of Cherkasy, 81, Shevchenko Blvd., Cherkasy,
18000, Ukraine
olena_kravchenko17@ukr.net
Maryna Leshchenko, Dariia Marushchak, Yuriy Vdovychenko
Cherkasy State Technological University, 460, Shevchenko Blvd., Cherkasy, 18000, Ukraine
mari.leshchenko@gmail.com, d.marushchak@chdtu.edu.ua,
yurockv@gmail.com
Abstract. The phenomenon of the digitalization in the world economy is
investigated in the article. The digital economy is the most important engine of
innovation, competitiveness and economic growth in the world. The specific
features of the modern digital economy are determined. The main indicators of
measuring the level of digital economy are analyzed, the world countries’ leaders
are defined. Study shows that each of the indexes has different methodological
approaches to determining the level of digitalization and contains various factors.
Highly developed countries have the best level of digitization of their own
economies, because they have high-quality access to the Internet, a high level of
scientific and technological capacity development and wide information access.
The indicators of Ukraine as a digital economy are analyzed. Article shows that
Ukraine as a European country is only at the beginning of its development of a
high-quality digital economy. The links between national economy’s
macroeconomic indicators development connecting with innovations are
established.
Keywords: digitalization, world economy, innovations, economic growth,
indexes, technologies.
Today, economic growth is impossible without using of information and
communication technologies, because they are covering increasingly various spheres
of economic activities and creating new opportunities for socio-economic development.
Globalization, transformation of consumer behavior, mobility, availability of
information are the trends of our time. Digital technologies are radically reshaping the
global economic system. The formation of an effective digital economy will open
significant opportunities for the creation and development of business, it will help to
increase investment flows, accumulation of human and financial resources of the world.
The concept of “digital economy” first appeared in 1995, as this year was previously
defined as a turning point in the production of equipment for information technology.
435
Moreover, at that time Internet emerged as a significant source of “free” content [1,
p. 2].
Throughout history, the economy has been transformed by revolutionary inventions
(telegraph, railway, car). The difference with the Internet is that it is inherently global,
used by both developed and developing countries. John Sviokla said “the Internet is
one of the most complex things ever created. It takes human organization to another
level. Thus, the digital economy will launch the third wave of capitalism, that will
transform business and government and lead to the creation of extraordinary wealth
around the world” [2, p. 6].
The universal term “the third industrial revolution” has gained great popularity, the
main ideologues of which are the researchers Jeremy Rifkin [3] and Raymond Kurzweil
[4], that provides for the gradual introduction of a whole complex of new technological
solutions (including renewable / clean energy sources, composite and nanomaterials,
biomedical innovations, 3D printing technologies, mass electrification of transport etc.)
[3, 4].
The core of the digital economy is the "digital sector": the IT / ICT industry that
produces fundamental digital goods and services. This “digital economy” is defined as
“part of an economic outcome derived solely or primarily from digital technologies
with a business model based on digital goods or services” – consists of the digital sector
and also new digital and platform services. The increased use is the using of ICT in all
sectors of the economy, this is the “digital economy” [5].
The development of the digital economy can generally be described as the process
by which information technologies, such as the Internet or other means of
communication, change economic and social relations in such a way that a number of
barriers in international economic relations disappear altogether or minimize. In this
context, it is worth mentioning the statement of T. Friedman, the essence of which is
that new technologies have the ability to unite the world by forming their own strong
links through a combination of production, research and marketing processes in
different countries at the same time and maintain control over these processes through
the latest means of communication [6]. Computerization covers all the tools that have
led to the progress of society and its transition from industrial to information. It is worth
remembering the concept of “information” society of D. Bell, when knowledge and
information become the main, inexhaustible, renewable resource [7]. And the
information itself is a public good and is characterized by all the properties that are
inherent in them, namely, accessibility for a wide range of consumers and exceptional
competitiveness. This is what ensures the rapid development of information resources,
and they become at the same time the basis for the development of the modern digital
economy.
The digital economy is growing rapidly on a global scale. It is the most important
engine of innovation, competitiveness and economic growth in the world. The main
products of the digital economy are the same goods and services of the traditional
economy that is provided by computer equipment and digital systems such as the global
Internet. This has its advantages, the main of which is to increase the availability of
ordinary users to certain markets (goods or services), not only large companies, reduce
transaction costs, increase efficiency and competitiveness.
436
The characteristic feature of the digital economy is its connection with the economy
on demand (on-demand economy), which provides for not the sale of goods and
services, but access to them at the moment when it is needed. The advantages of the
economy on demand are: high speed of obtaining the necessary services or goods;
reducing their cost for the end-user by reducing the number of intermediaries;
simplifying the output of suppliers of goods and services to users [8, p. 14].
The review of the digital Agenda for Europe (DAE) [9] highlighted the impact of
digital technologies on work and growth, noting that the Internet provides people with
the opportunity to create and disseminate their ideas, creating new content,
entrepreneurs and markets.
Modern tools for the study of the level of digitalization covers a variety of
techniques. In particular, the main indices characterizing the world digitalization
include: Digital Evolution Index, DiGiX, Networked Readiness Index, IMD World
Competitiveness, DESI, Bloomberg Innovation Index and ICT Development Index.
Each index has different methodological approaches to determining the level of
digitalization and contains different factors that help to investigate. For example, the
Digital Evolution Index shows how different countries are moving from the physical
past to the digital future, and offers simple tools to determine which countries are the
most ready for the transition, how quickly they are updated, and whether some are better
located than some others. The Digital Evolution Index analyzes the main indicators that
govern the digitization of the country: delivery conditions, demand conditions,
institutional environment and innovation and change. To get an overview of the digital
readiness and competitiveness of countries, the index divides these indicators into 12
components measured using a total amount of 108 indicators [10]. Networked
Readiness Index is an indicator of the world economic forum, which characterizes the
level of development of information and communication technologies in the world [11].
NRI consists of three components: the ICT environment proposed by a particular
country or community, the readiness of key stakeholders (individuals, businesses and
governments) to use ICT, and finally the use of ICT among these stakeholders The
DiGiX index is an index of digitization that evaluates the factors, behavior of agents
and institutions that enable the country to fully use information and communication
technology (ICT) to enhance competitiveness and well-being. It is a complex index that
summarizes the corresponding figures in 100 countries. DiGiX consists of six main
components: infrastructure, adoption of households, adoption of enterprises, costs,
regulation and maintenance [12]. The index of digital economy and society (DESI)
measures progress in EU countries in reference to the digital economy and society. It
combines a set of relevant indicators of European digital policy [13].The structure of
the index consists of 5 main indices, containing subindexes, giving accurate knowledge
about the level of digitalization, such as ICT connectivity, digital skills, indicators, use
of the Internet, integration into digital technologies, indicators of development of the
electronic environment.
IMD World Competitiveness Center creating the rating takes as a basis such
indicators as knowledge, technology and the future readiness of countries to implement
digital technologies [14].
In general, comparing the ratings of countries, according to different methods and
437
indicators, we can see that the TOP-10 countries in every ratings changes because the
overall calculation of the digitalization of economy is carried out on different indicators
(Table 1).
Table 1. The Top-10 economies on the level of digitalization in different indexes.
Digital IMD Digital Bloomberg ICT Devel- Networked
Place Evolution Competitive- DiGix DESI(EU) Innovation opment In- Readiness
Index ness Index dex Index
Luxem- South Ko-
1 Norway Singapore Denmark Iceland Singapore
bourg rea
Great
2 Sweden Sweden Finland Sweden Korea Finland
Britain
Hong
3 Switzerland USA Sweden Singapore Switzerland Sweden
Kong
4 Denmark Finland USA Netherlands Germany Denmark Norway
Nether- Switzer-
5 Finland Denmark Luxembourg USA USA
lands land
6 Singapore Netherlands Japan Belgium Japan Hong Kong Netherlands
South Ko- Singa-
7 Hong Kong Great Britain Finland Netherlands Switzerland
rea pore
Great Great
8 Switzerland Norway Ireland Denmark Norway
Britain Britain
Luxem- Luxem-
9 Hong Kong Canada Finland Romania France
bourg bourg
10 USA Norway Sweden Bulgaria Israel Japan Japan
Global trends of digitalization of the economy show that highly developed countries
have the best level of digitization of their own economies because they are characterized
by high-quality access to the Internet (broadband and mobile Internet), a high level of
development of scientific and technological potential and wide information access.
Among the regions of the world (World Bank), the largest number of Internet users are
in Europe and Central Asia. Today, about 75% of the total population of Europe and
Central Asia use the Internet. This indicator reaches 50% in other regions [15].
Among the member of the participating countries of the European Union, the best
access indicators have such countries as Denmark, Germany, Luxembourg, Sweden and
the UK. In General, it can be seen that another group of EU member have at least 60%
of all households, this says about high level of automation and ease of life. Such
countries as the Czech Republic, Latvia and Italy have less indicators.
An integral part of digital Commerce is e-Commerce, it simplifies the purchase and
sale for both buyers and sellers. This reduces the chain from seller to buyer and it is
easier to purchase. The 5 largest e-Commerce markets include:
1. China: $ 672 billion, share of e-Commerce in total retail sales – 15.9%;
2. United States: $ 340 billion, share of e-Commerce in total retail sales – 7.5%;
3. UK: $ 99 billion, share of e-Commerce in total retail sales – 14.5%;
438
4. Japan: $ 79 billion, share of e-Commerce in total retail sales – 5.4%;
5. Germany: $ 73 billion, share of e-Commerce in total retail sales is 8.4% [16].
The global trend shows that the main means of payment are credit cards (Asia and North
America), in second place is a digital payment system, this is a platform of electronic
means that can be used in any calculations (Western Europe and China). Another
popular method is debit cards (Africa).
The majority of online purchases were made from manufacturers located on the same
continent: Europe (63.4%), the Pacific region of Asia (57.9%), Africa (55.5%), Latin
America (54.6%) and North America (45.5%).
It is expected that retail sales of e-Commerce will rise to 4.058 trillion in 2020, which
is 14.6% of the total retail spending in 2015.
The increase of the number and quality of telecommunications use also has a great
impact on digitalization. Global telecommunications revenues had decreased by 4%
between 2015 and 2016, falling by $ 1.9 trillion.
Developing countries experienced complex annual growth rate of 6.6 % in
telecommunications revenues between 2008 and 2016, while developed countries
experienced a decline of -0.8% in the same period. Developing countries have 83% of
the world’s population, they receive only 39% of the world's income from
telecommunications [17].
It is worth noting that the European Union presents many opportunities and
challenges associated with the rapid development of the digital economy, the rapid
growth of data flows, the dominance of the USA firms, security concerns and new
business models in many sectors. The digital transformation of business and society in
the EU represents a huge potential for Europe.
An important indicator characterizes the state of the digital economy in the EU are
the indicators of entrepreneurship through the Internet. The activity of entrepreneurs
through the Internet is an integral part of the modern world market trade. Internet
activity does not only facilitate trade, but it also helps quickly to accumulate and
mobilize revenues.
In the EU, between 2008 and 2016, the share of enterprises that used electronic
turnover increased by 7%, and the volume of sales of enterprises, due to electronic
sales, increased by 6 percentage points.
During 2016, 44% of large enterprises carried out electronic sales, which
corresponds to 26% of the total turnover of this class. Similarly, 29% of medium-sized
enterprises carried out electronic sales, which corresponds to 13% of the total turnover
of this value. On the contrary, 18% of small enterprises engaged in electronic sales, and
that is only 7% of the turnover of such enterprises [18].
Such countries as the Czech Republic (5.6%), Ireland (5.9%), Slovakia (6.6%) and
the UK (4.7%) demonstrated the development of e-Commerce, which contributes of
business development. In such EU member countries as Belgium (-2.9%), Luxembourg
(-3.1%), Netherlands (-6%), Lithuania (-3%) and Portugal (-2.7%) negative indicators
were observed [19].
Ukraine, as a European country, is only at the beginning of its path to creating a
high-quality digital economy. Despite the fact that Ukrainian IT specialists are in great
439
demand on the world labor market, undeveloped infrastructure, “outdated
technologies”, lack of legislation and the target direction in the government is a great
obstacle for creating the necessary conditions of digitalization for the national
economy.
Ukraine takes only the 85th place among the countries in the world in the World
Economic Forum. According to the components Ukraine has the following positions:
the number of Internet users – 80th place, Internet connection – 64th, Internet
bandwidth – 68th place, mobile Internet connection – 131st. Unfortunately, Ukraine
has worsened its ICT indicators of use for the last two components (Table 2).
Table 2. Ukraine’s position in the ranking of the world Economic Forum, 2016-2017 [20, 21].
2016-2017 2015-2016
Indicator
Place Indicator Place Indicator
Technological development
Technological adaptation (borrowing, perception) 85 3.6 86 3.45
Availability of the most modern technologies 93 4.3 96 4.3
Technological absorption of corporate level 74 4.4 100 4.2
FDI and technology transfer 115 3.7 117 3.8
The use of ICT
Internet users 80 49.3 80 53.4
Broadband Internet connection 64 11.8 72 8.4
Bandwidth 68 45.7 64 40.7
Mobile broadband connection 130 8.1 121 7.5
In Bloomberg Innovation Index 2017 Ukraine has fallen to the 4th position for the
year, taking forty-sixth place. Ukraine is ahead of Cyprus, South Africa, Iran and
Morocco. It was on the 33rd place in 2015. In the Networked Readiness Index Ukraine
occupies 64th place (Table 3).
Table 3. Ukraine in the world rankings of digitalization of the economy, 2017.
Index Place Index Place
Networked Readiness Index х DESI (EU) х
IMD Digital Competitiveness 85 Bloomberg Innovation Index 46
DiGix 87 ICT Development Index 79
Since Ukraine is not a member of the European Union, it is not possible to study its
level in the DESI rating. Also, it is not possible to analyze its level in the Digital
Evolution Index.
One of the main reasons is the lack of relevant indicators, this does not allow to study
the level of digitalization and innovative development, and as a result to explore the
real competitiveness of the state. It is also important to determine how the digitization
of economic spheres affects the overall economic performance of the country. To do
this, you can use the correlation, it means the connection, the relationship between
objectively existing phenomena. Using correlation and regression analysis, we
440
construct a model of the relationship of GDP per capita (y) with factors that
significantly affect the level of digitalization of the economy, namely fixed broadband
subscription (x1), individual use of the Internet (x2), capital investment in software and
databases (x3), innovation in industrial enterprises (x4), the total cost of innovation
activities (x5), technical grants (x6), export of ICT services (x7) – dependent variables.
After constructing the correlation matrix, we obtained a value that provides information
about the materiality of the relationship and the dependent variables and the resulting
indicator and between the dependent variables (Table 4).
Table 4. The coefficients of pair regression.
Costs of innovation activities,
Individual use of the Internet,
innovations at enterprises, х4
The export of ICT services,
software and databases, х3
Capital investment in
Technical grants, х6
Implementation of
GDP per capita, у
Fixed broad band
subscription, х1
х2
х5
х7
Fixed broad band subscription, х1 1
Individual use of the Internet, х2 0.992 1
Capital investment in software and
0.463 0.441 1
databases, х3
Implementation of innovations at
0.373 0.354 0.096 1
enterprises, х4
Costs of innovation activities, х5 0.761 0.736 0.525 0.154 1
Technical grants, х6 0.175 0.187 0.253 0.178 0.066 1
The export of ICT services, х7 0.947 0.945 0.464 0.517 0.707 0.107 1
GDP per capita, у 0.671 0.657 0.336 -0.137 0.639 -0.168 0.556 1
Analyzing the value of the matrix of pair correlation coefficients, it can be confirmed
that factors such as x1, x2, x5 have a significant direct linear relationship with the
resulting indicator (rxy>0.65). With regard to other factors, it can not be confirmed that
the resulting indicator is uniquely linearly depends on them. As a result of testing of x-
indicators for multicolinearity, we excluded from further research x1 (fixed broadband
subscription), x2 (individual use of Internet) and x7 (export of ICT services).
As a result we get regression equation:
y = 2942.037+ 0.04x3–118.18x4+0.14x5–2.66x6.
Calculate the coefficient of multiple correlation and determination:
Rxy=0.935154509 – correlation between хi and y is strong enough;
d=0.874513955 – 87.4% of GDP per capita depends on the investigated factors, and
other 12.6% of the factors were not investigated in the model.
441
Check the model adequacy using the F-criteria: Fcalculated=41.814 when Ftabular=3.55,
as Fcalculated>Ftabular, so this means the model is adequate in terms of statistical data.
Having determined the elasticity coefficients, we can say that the elasticity
coefficient with a value of 0.08482325 indicates that if capital investments in software
and databases (x3) will grow by 1%, then GDP per capita (y) will increase by 8.5%. If
the introduction of innovations in industrial enterprises (x4) grow by 1%, the GDP per
capita (y) will decrease by 75%. If the total amount of costs in the areas of innovation
(x5) grow by 1%, the GDP per capita (y) will increase by 51.6%. If technical grants (x6)
grow by 1%, GDP per capita (y) will decrease by 30.6%.
Thus, the digital revolution develops network communications over the
administrative borders of countries and territories, which accelerates the transition of
the world to a decentralized, distributed model of production. In the future, the
development of ICT can reduce the cost of international logistics, as well as stimulate
the development of offshoring.
According to empirical researches conducted by McKinsey Global Institute,
digitalization of the economy can be no less powerful tool to improve its productivity
and competitiveness than creating technological innovations [22].
This means that all countries, and especially those that have embarked on the path
of catching-up development, have a chance for a rapid breakthrough in productivity
growth if they focus on the broad informatization of society and the effective
implementation in business process of already existing ICT in the world, but not only
on the creation of their own breakthrough technologies in certain directions.
References
1. Jorgenson, D.W.: Information technology and the U.S. economy. Am. Econ. Rev. 91(1), 1–
32 (2001)
2. The new digital economy. How it will transform business.
http://www.citibank.com/transactionservices/home/docs/the_new_digital_economy.pdf
(2011). Accessed 10 Jan 2019
3. Rifkin, J.: The third industrial revolution: how lateral power is transforming energy, the
economy, and the world. Palgrave Macmillan, New York (2011)
4. Kurzweil, R.: The law of accelerating returns. http://www.kurzweilai.net/the-law-of-
accelerating-returns%3E (2001). Accessed 5 Dec 2018
5. Ivanova, V.V.: Informatsiinyi rynok: zarubizhni i ukrainski realii (Information market:
foreign and Ukrainian realities). Actual problems of ekonomics. 2, 39–43 (2009)
6. Friedman, T.: Lexus şi măslinul. Cum să înţelegem globalizarea. Editura Fundaţiei PRO,
Bucureşti (2001)
7. Bell, D.: The coming of post-industrial society. A venture in social forecasting. Basic Books,
New York (2001)
8. Karcheva, G., Ogorodnya, D., Openko, V.: Tsyfrova ekonomika ta yii vplyv na rozvytok
natsionalnoi ta mizhnarodnoi ekonomiky (Digital economy and its impact on the
development of the national economy). https://fp.cibs.ubs.edu.ua/files/1703/17kgttme.pdf
(2017). Accessed 24 Jan 2019
442
9. Fact Sheets on the European Union: Digital Agenda for Europe.
http://www.europarl.europa.eu/factsheets/en/sheet/64/digital-agenda-for-europe (2019).
Accessed 20 Jan 2019
10. Digital Planet 2017: How Competitiveness and Trust in Digital Economies Vary Across the
World. https://sites.tufts.edu/digitalplanet/dei17 (2017). Accessed 17 Dec 2018
11. Networked Readiness Index. Global Information Technology Report.
http://reports.weforum.org/global-information-technology-report-2016/networked-
readiness-index (2016). Accessed 05 Dec 2018
12. Cámara, N., Tuesta, D.: DiGiX: The Digitization Index. https://www.bbvaresearch.com/wp-
content/uploads/2017/02/WP_17-03_DiGiX_methodology.pdf (2017). Accessed 15 Dec
2018
13. DESI 2018. Digital Economy and Society Index. Methodological note.
http://ec.europa.eu/information_society/newsroom/image/document/2018-20/desi-2018-
methodology_E886EDCA-B32A-AEFB-07F5911DE975477B_52297.pdf (2018).
Accessed 07 Feb 2019
14. IMD World Digital Competitiveness Ranking 2017. https://data.worldbank.org (2017).
Accessed 08 Jan 2019
15. World bank open data. https://data.worldbank.org (2017). Accessed 02 Feb 2019
16. Global Ecommerce Platforms 2017: A Country-by-Country Review of the Top Retail
Ecommerce Sites. eMarketer Report (2017)
17. World Telecommunication/ICT Indicators Database. https://www.itu-ilibrary.org/science-
and-technology/data/world-telecommunication-ict-indicators-
database_pub_series/database/2a8478f7-en (2017). Accessed 21 Mar 2019
18. Digital Economy and Society Index. Methodological note,
http://ec.europa.eu/eurostat/data/database (2017). Accessed 02 Dec 2018
19. Eurostat/European Commission. https://ec.europa.eu/eurostat/data/database (2018) .
Accessed 21 Mar 2019
20. Schwab, K.: World Economic Forum: The Global Competitiveness Report 2016-2017.
http://www3.weforum.org/docs/GCR2016-
2017/05FullReport/TheGlobalCompetitivenessReport2016-2017_FINAL.pdf (2017).
Accessed 18 Nov 2018
21. Schwab, K.: World Economic Forum: The Global Competitiveness Report 2015-2016.
http://www3.weforum.org/docs/gcr/2015-2016/Global_Competitiveness_Report_2015-
2016.pdf (2016). Accessed 25 Dec 2018
22. Manyika, J., Lund, S., Bughin, J., Woetzel, J., Stamenov, K., Dhingra, D.: Digital
globalization: The new era of global flows.
https://www.mckinsey.com/~/media/McKinsey/Business%20Functions/McKinsey%20Dig
ital/Our%20Insights/Digital%20globalization%20The%20new%20era%20of%20global%2
0flows/MGI-Digital-globalization-Full-report.ashx (2016). Accessed 07 Feb 2019
23. Kravchenko, O., Leshchenko, M., Marushchak, D., Vdovychenko, Y., Boguslavska, S.: The
digitalization as a global trend and growth factor of the modern economy. SHS Web of
Conferences. 65, 07004 (2019). doi:10.1051/shsconf/20196507004
24. Semerikov, S., Soloviev, V., Kibalnyk, L., Chernyak O., Danylchuk, H.: M3E2 2019 -
Towards a new economy in the public interest. SHS Web of Conferences. 65, 00001 (2019).
doi:10.1051/shsconf/20196500001
25. Derbentsev, V.D., Serdyuk, O.A., Solovyov, V.M. and Sharapov, O.D.: Synergetic and
econophysics methods for the study of dynamic and structural characteristics of economic
systems. Brama-Ukraine, Cherkasy (2010)
26. Soloviev, V., Belinskiy, A.: CCIS. 1007, 276 (2019)
443
27. Soloviev, V., Solovieva, V., Solovieva, K.: Comparative analysis of the dynamics of the
stock market of Ukraine using fractal measures of complexity. Bulletin of Cherkasy
University. Series of Economic Sciences. 33, 246 (2012)