
interaction of green investments and institutional
determinants manifests itself in the national
economy. It leads to a decrease in its energy
efficiency (Lyulyov et al., 2021b). The convergence
between tax and ecological systems has been proven
based on the beta and sigma convergence by
Vysochyna et al. (2020b). It also should consider that
world crises and global phenomena also directly
impact the balanced development of countries. The
negative consequences confirm that most countries in
the world have suffered due to the COVID-19
pandemic (Minchenko & Demchuk, 2021; Tiutiunyk
et al., 2021).
The consequences of the fourth industrial
revolution contributed to the digitalization of many
processes. First of all, it has affected the dynamism
of the country's economic development and increased
the level of its national security (Novikov, 2021b).
Novikov (2021a) has proved, based on bibliometric
analysis of research, that the balanced development
of a country depends to a greater extent on its social,
economic and information security. Informatization
processes are also relevant for the economy's
financial sector, where there is the greatest need to
digitalize financial services (Pakhnenko et al., 2021).
With the growth of information flows, the
confidentiality of big data must be ensured
(Karaoulanis, 2018). In parallel, the risks of financial
losses also increase due to the implementation of
massive cyberattacks, which destabilize processes
and systems and inhibit their development
(Yarovenko et al., 2021). Although most countries
are trying to solve this problem using artificial
intelligence technologies (Obeid et al., 2020),
unfortunately, preventing cyberattacks is essential for
ensuring the countries' national security. Therefore,
when determining the determinants, one should
consider not only the factors characterizing the
development of the IT industry but also the direction
of information security (Leonov et al., 2019;
Vasylieva et al., 2017). The relationship between
them was investigated by Petroye et al. (2020) based
on correlation and cluster analyses.
A wide range of mathematical methods is used for
modelling economic, political, social, informational
development. Scientists have solved these problems
by building optimization models (Kozmenko &
Kuzmenko, 2011), structural modelling
(Samusevych et al., 2021), gravity modelling
(Lyeonov et al., 2020), using data mining methods
(Kuzmenko et al., 2020), fuzzy sets (Boyko &
Roienko, 2014), regression analysis (Shkolnyk et al.,
2017; Babenko et al., 2020), probabilistic methods
(Levchenko et al., 2018), econometric tools
(Aljaloudi & Warrad, 2020), statistical analysis
(Esmanov & Dunne, 2017). It is necessary to use a
more specific method, such as determining the center
of mass, to model the sustainable development. This
method will determine the level of balance based on
the development determinants. For the study, it has
been chosen a triad of economic, political and social
determinants, as well as determinants that
characterize the development of information
technology and cybersecurity, a group of which will
be referred to as digital capability and cybersecurity.
Since environmental factors have a narrower impact
on the country's development, in this paper, they will
not be taken into account to build a model.
3 Data and Methodology
3.1. Economic, social, political determinants
and determinants of digital capability and
cybersecurity
Various determinants can influence the balance of
countries’ development, which either increase or
decrease its level. The scientific knowledge methods,
which allowed to determine the most relevant
indicators for each composite target, were used to
substantiate their choice. Thus, the digital capability
and cybersecurity are evaluated under the influence
of trends in the development of the IT industry and
its components, the level of digital development and
the security component. Since there are no uniform
approaches to defining this dimension, this group
includes five key indicators that characterize:
countries' cybersecurity weaknesses and
opportunities by developing a cybersecurity strategy
and relevant standards (The Global Cybersecurity
Index); countries' readiness to counter cyber threats
and control cyber incidents (The National Cyber
Security Index), the level of information and
communication technology development in the
country (ICT Development Index), the country's
technological readiness degree to use the latest
information and communication technologies in
various spheres of life Readiness Index), the
country's digitalization compliance degree with its
cybersecurity level to form recommendations for
adjusting cybersecurity programs (Digital
Development Level). Since the value of these
indicators positively affects the integrated value of
evaluating digital capability and cybersecurity, i.e.,
with the increase of their value increases its level, we
consider them as indicators-stimulators. It is believed
that the country, which is characterized by a high
value of the composite target of digital capability and
cybersecurity, has a strong development of
DESIGN, CONSTRUCTION, MAINTENANCE
DOI: 10.37394/232022.2023.3.3
Tetyana Vasilyeva, Hanna Yarovenko,
Svitlana Bestuzheva, Nataliia Frolova,
Tetiana Smirnova, Nadiia Shylovtseva