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							<persName><forename type="first">Liubov</forename><surname>Halkiv</surname></persName>
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								<orgName type="institution">Lviv Polytechnic National University</orgName>
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							<persName><forename type="first">Oleh</forename><surname>Karyy</surname></persName>
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							<persName><forename type="first">Ihor</forename><surname>Kulyniak</surname></persName>
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							<persName><forename type="first">Yaroslav</forename><surname>Kis</surname></persName>
							<email>yaroslav.p.kis@lpnu.ua</email>
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							<persName><forename type="first">Alexander</forename><surname>Adamovsky</surname></persName>
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								<orgName type="department">International Conference on Computational Linguistics and Intelligent Systems</orgName>
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									<addrLine>May 12-13</addrLine>
									<postCode>2022</postCode>
									<settlement>Gliwice</settlement>
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					<term>indicators analysis system</term>
					<term>human potential</term>
					<term>innovation development</term>
					<term>crisis management</term>
					<term>cluster analysis</term>
					<term>regression analysis</term>
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<div xmlns="http://www.tei-c.org/ns/1.0"><p>Innovatization in the modern world plays the role of a social progress driver, a factor in increasing the socio-economic security level and a stimulator of territorial social systems crisis-free development. The key role in innovation processes intensification is played by: education, knowledge, research activities. In this article, the authors form subsystems of indicators that characterize the education, knowledge, research components at the country level, carry out their integrated evaluation. Based on integrated assessments, the index of human potential innovatization was built and countries were clustered according to its value in 2018-2020. Contingency tables analysis proved that countries with a high human resource innovatization index are more likely to show a chance to further increase this level. With the help of correlation-regression analysis, it is proved that GDP per capita (the crisis state of the economy indicator) significantly depends on the value of the human potential innovatization index.</p></div>
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<div xmlns="http://www.tei-c.org/ns/1.0"><head n="1.">Introduction</head><p>The issue of anthropocentrism in crisis management is not new. Thus, the founders of management theory stated that the key factors in crisis prevention at the enterprise level should include: the willpower of the leader, his leadership position, ability to quickly unite subordinates, stress resistance in extreme situations, and others. The development of science has expanded the field of research in crisis management but has not diminished the importance of the human factor. Today, in addition to the micro (enterprise) level, this issue is also actively studied at the meso (sectoral or regional) level; macro (state) level; megamacro (interstate formations) level; global (world) level. Its popularity is due to the growing role of human potential in the social transformation factors system. At this time it is a necessary task of empirical research implementation to develop crisis management science in terms of assessing the qualitative human potential characteristics in the context of the impact on crisis-free territorial social system development.</p><p>In a socially positive sense, crisis management considers a human in three ways: as the main object of protection in a crisis; as a factor in preventing (warning) crises in the tactical and strategic dimensions; as a direct generator, implementer, and controller of management decisions in crises. In a socially negative sense, a human can be seen as a crisis phenomena activator.</p><p>The new realities are marked by the establishment of an innovation paradigm, the core elements of which are: intelligence, knowledge, innovation. The world's leading economies have focused on strategies to increase competitiveness through innovation. Achieving such a strategic goal largely depends on the qualitative characteristics of human potential. The system of human potential characteristics highlights subsystems that provide the opportunity to learn new things, accumulate knowledge, generate and implement innovations. The quality of such subsystems, providing competitive advantages to the country, helps to strengthen its economic security and, consequently, reduces the risks of economic crisis.</p><p>In this paper, the authors focused on building and testing a methodological approach to analyzing differences in the levels of innovatization of the country's human potential. Based on this, the authors aim to prove that high levels of human potential innovatization prevent the crisis of the country's economy.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="2.">Related Works</head><p>The crisis management system of determinants usually includes those that identify threats to the enterprise's bankruptcy. However, the issue of the human factor is increasingly being raised in crisis management. Thus, the content analysis of the domestic researchers' works in the crisis management field for 2020-2021 revealed that in today's realities, the focus of scientists is also determinants related to staff qualifications, stability, and security (L. Kartashova, M. Kirichenko, T. Sorochan <ref type="bibr" target="#b0">[1]</ref> S. Kapitanets, N. Varenia, O. Korolchuk, T. Kulinich, O. Kilnitska, H. Holovchak <ref type="bibr" target="#b1">[2]</ref>), with threats to the human capital of certain sectors of the economy (T. Charkina, D. Nechay, M. Mnatsakanyan <ref type="bibr" target="#b2">[3]</ref>), with the country's legislative initiatives to reduce population losses (A. Borisov, E. Litvinovsky <ref type="bibr" target="#b3">[4]</ref>), with the conditions of the coronavirus pandemic (T. Sergienko <ref type="bibr" target="#b4">[5]</ref>), etc. In favor of human resources, importance in crisis management testifies an annual volume of the array of publications increase in the period between 2013-2021, the value of which was provided by information platforms Scopus and GoogleAcademy for relevant search queries (Figure <ref type="figure" target="#fig_0">1</ref>). query "human AND potential AND crisis", English-speaking to Scopus query "human AND crisis", Ukrainian-speaking to Scholar.Google Human potential in a broad sense, as rightly noted by T. Stepura <ref type="bibr" target="#b7">[8]</ref>, should be understood as an objectively determined, quantified integrated set of qualitative human qualities and associations of people that are formed and can be activated under certain conditions of their environment (life and work), and indicate the possible limits of their involvement in economic activity, consumption, selfdevelopment, as well as for further reproduction of human components and their associations for economic, social, spiritual progress, happy life, human development. Human potential, transforming into human capital, contributes to the economic development of the country, strengthens its social security <ref type="bibr">[9; 10]</ref>. The authors of the National Report "Sustainable Human Development: Ensuring Justice" <ref type="bibr" target="#b10">[11]</ref> state that there are the qualitative characteristics of human potential that form the basis for the adoption of a new "philosophy of economic growth" that maximizes social effects, increases socio-cultural values. According to N. Rushchyshyn et al. <ref type="bibr" target="#b11">[12]</ref>, A. Lutsenko et al. <ref type="bibr" target="#b12">[13]</ref> to strengthen social security, public authorities must make significant efforts to establish effective mechanisms for fiscal regulation and financial security. In turn, according to many researchers <ref type="bibr">[14; 15; 16]</ref>, the level of financial and economic stability of the territorial social system provides opportunities for human development, helps to reduce its migration losses. A positive aspect of the implementation of the reform is the creation of incentives for territorial communities to use their social and economic potential effectively <ref type="bibr" target="#b16">[17]</ref>.</p><p>In the XXI century, the financial and economic security of territorial social systems, their crisisfree development is not possible without a solid foundation laid through effective innovation processes in various spheres of public life. The bearers of human potential are the generators of innovative ideas. The potential of the population of a certain territorial social system for innovation depends on the effectiveness of the education system in general, including the higher education system <ref type="bibr">[18; 19]</ref>. There are many studies on the impact of innovation on the territorial social systems crisis-free development <ref type="bibr">[20; 21]</ref>. According to D. Moleiro <ref type="bibr" target="#b21">[22]</ref> the social structure, along with the territory, as a resource to be exploited, and the patterns of cooperation conceive impacts on regional innovation through the new social relationships enhanced by social innovation, as a model of local social innovation. The team of authors (O. Prokopenko et al. <ref type="bibr" target="#b22">[23]</ref>) in this context operate with the concept of innovation security. One of the main factors that led to the introduction of innovations in the direction of social security is the the COVID-19 pandemic <ref type="bibr">[24; 25]</ref>.</p><p>Unlike other researchers who focus on the problems of studying human potential, crisis management, innovation development, the authors of this study focus on combining these three problems. They focus on analyzing the system of indicators, which reflects the human potential innovation, building integrated assessments of the country's innovation level, and justifying the impact of this level on the crisis-free development of the economy.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="3.">Methods</head><p>In the course of the research, the authors used a set of scientific methods. In particular, to substantiate the feasibility of studying human potential in the system of determinants of crisis management, the authors used the methods of content analysis and bibliographic analysis. Their application allowed the authors to determine the volume of the array of publications presented on the information platforms Scopus and GoogleAcademy on the search queries "human AND potential AND crisis" and "human AND crisis", respectively. This volume of publications was determined annually in the period from 2013 to 2021. The authors applied the dynamics modeling method to the obtained time series. The quality of the approximation of the empirical data dynamics model was evaluated by the value of the coefficient of determination (R 2 ). To calculate R 2 , the authors used the method based on the trend line in a correlation field built on MS Excel sheet.</p><p>For the generalized assessment of human potential innovatization state in some countries, the method of integrated assessment was used, which provided for the procedure of components of the system of indicators standardization and averaging.</p><p>To assess the country's human potential level of innovation in the context of crisis management, we have built a methodological approach. The first stage involves an integrated assessment of the human potential innovation state in the form of an index. This index (IIHP) is based on the values of the system of indicators that form three subsystems (components): 1education (EC), 2knowledge (KC), 3research (RC).</p><p>EC covers 2 components:  education (х 1 ),  higher education (х 2 ). KC covers 4 components:</p><p> results of knowledge and technologies (х 3 ),  intangible assets (х 4 ),  field of knowledge workers (х 5 ),  absorption of knowledge (х 6 ).</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>RC covers 3 components:</head><p> cooperation between the university and the field of R&amp;D (х 7 ), The direction of influence on the human potential innovatization of all components is stimulating. That is, the greater is each component of the system of indicators numerical value, the higher the level of human potential innovation.</p><p>Normalized values of indicators are calculated by the following formula:</p><p>,</p><p>where NO Citnormalized level for the country with code C component indexed by i in the year t; КCitinput numerical value for the country with the code C component indexed by i in the year t; min(К t)minimum value of the set of countries component indexed by i in the year t; max (К t)minimum value of the set of countries component indexed by i in the year t.</p><p>For the generalized (integral) assessment of IIHP indicators subsystems the method of averaging with the use of an arithmetic formula is applied:</p><formula xml:id="formula_1">(2)</formula><p>where Kjthe value of the j-th component for indicators subsystem; nnumber of components.</p><p>Correlation analysis was applied to the obtained integrated estimates, which was implemented using the MS Excel "Data analysis" procedure, and the distribution was checked according was checked by the Shapiro-Wilk test of normality. To distinguish groups of countries by the level of human potential innovatization, the authors used the method of cluster analysis, which was implemented using the Statistica TM software.</p><p>To substantiate the chances of increasing the level of human potential innovatization with highquality human potential, the method of four-cell contingency tables analysis was used, which involved the calculation of quadratic contingency (χ 2 ). The validity of the relationship between the level of human potential innovatization and the quality of human potential is based on Crammer's V test, and the substantiation of the level of the materiality of the conclusions is based on the exact value of the (bilateral) Fisher's exact test.</p><p>The method of regression analysis was used to assess the dependence of the gross domestic product of the country on the level of human potential innovatization. The parameters of the regression models were determined using the procedure "Data Analysis" MS Excel. The authors used tabular and graphical methods to compactly present and visualize the study data.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="4.">Results and Discussion</head><p>Understanding the conditions for activating the potential human development requires the processing of scientific approaches to understanding its structural composition. As is known, subpotentials (human potential components) are highlighted in the aggregate territorial social system human potential. The individual subpotential exists relatively independently. However, being under the influence of interaction with other subpotentials, as well as under the external environment influence of the total territorial social system human potential, the individual subpotential may change.</p><p>Even though the leaders of the social wing of potentialism theories have built a solid knowledge foundation in the field of human potential component structure, it is important to realize that the essential characteristics of its components remain ambiguous. This ambiguity is due not only to differences in the views of representatives of different scientific schools on the list of human potential components. It should be emphasized that different works of one scientific school supporters may vary approaches to the separation of human potential components.The main reason for the meaningful understanding of human potential structural composition is the ambiguity of human potential сoncept interpretation: Despite the repeated use of the phrase "human potential" in scientific and journalistic literature, today there is no single interpretation of this economic and social category <ref type="bibr" target="#b25">[26]</ref>.</p><p>In addition, the progress of scientific thought contributes to the diversification of views on the list of human potential components. Confirmation of this progress is the upward dynamics of scientific publications. Thus, the Scopus web platform search engine <ref type="bibr" target="#b5">[6]</ref> on the query "human AND potential" on January 30, 2022, issued more than 5 million documents, including in recent years: 2013 -89.3 thousand units; 2014 -97.5 thousand units; 2015 -104.8 thousand units; 2016 -111.3 thousand units; 2017 -118.5 thousand units; 2018 -127.0 thousand units; 2019 -138.7 thousand units; 2020 -159.4 thousand units, 2021 -173.3 thousand units.</p><p>In this study, we will focus on changes in human potential, which is referred to as innovatization. Human potential innovatization should be understood as the process of its components transformation into those that can provide production, accumulation, translation, multiplication of innovations. This process at the macro level requires the state policy and its national security main directions coordination. It is a question of the external and internal interests of the country's vectors changing to transform innovation into a key basis of social life.</p><p>To build integrated estimates, the procedure of the system of indicators components normalizing was used. The normalized values of indicators for 2020, calculated according to formula (1) for the set of researched countries, are given in Table <ref type="table" target="#tab_0">1</ref>. These numerical values vary from 0 (minimum level of the indicator for the country from their set) to 1 (maximum level of the indicator for the country from their set). The correlation coefficient was used as a measure of the three IIHP subsystems indicators integral assessment level harmonization. Its calculation was performed with the help of the procedure "Data Analysis" MS Excel, and numerical values are presented in Table <ref type="table" target="#tab_1">3</ref>. The maximum correlation is observed between the subsystems of the indicators of the KC↔RC. The minimum value of the correlation coefficient (0.646) was obtained in 2019 for the subsystems of EC↔RC indicators. The results of correlation analysis indicate the presence of a close relationship between the components of IIHP and the harmonization of integral assessments of indicator subsystems (EC, KC, RC).  On the one hand, the dense connection between the IIHP components serves as a basis for IIHP construction by averaging its components by formula (1). The obtained averaging results are presented in Table <ref type="table" target="#tab_2">4</ref> and are shown in Figure <ref type="figure" target="#fig_4">3</ref>. On the other hand, such a close relationship serves as a warning for the use in the regression equation of these indicator subsystems as factor variables due to their multicollinearity.  The second stage envisages the clustering of countries using the Statistica TM software. Based on the analysis of IIHP three-dimensional graphical representation (Figure <ref type="figure" target="#fig_4">3</ref>) and the research of its dendrogram, the decision was made to divide the set of countries into three clusters: Hhigh level of development, Athe average level of development, Llow level of development.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head>two-dimensional three-dimensional</head><p>The results of cluster analysis are presented in Table <ref type="table" target="#tab_2">4</ref>.   No. of obs.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="2018">H H H H H H H H H H H H</head><formula xml:id="formula_2">A A A A A A L A A A A L L L</formula></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="2019">H H H H H H H H H H H H</head><formula xml:id="formula_3">A A A A A A A A A A A L L L</formula></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="2020">H H H H H H H H H H H H</head><formula xml:id="formula_4">A A A A A A A A A A A L L L Rate of</formula><p>Table <ref type="table" target="#tab_2">4</ref> data shows that during the period 2018-2020 the value of IIHP in the countries of cluster H increased. Its slight decrease over the last year in Finland does not serve as an indicator of the crisis, as this country is consistently in the group of leaders. On the other hand, the negative rate of change in IIHP in the L-cluster countries is a marker of the human innovatization problem.</p><p>To substantiate the conclusion that countries with a high level of IIHP tend to further increase it, the method of four-cell contingency tables analysis was used. Previously, an additional indicator (P) was introduced, which takes 1, if in 2020 compared to 2018 and 2019, the rate of IIHP change took a positive value. Otherwise, P = 0 (Table <ref type="table" target="#tab_2">4</ref>).</p><p>Data from the analysis of the four-cell table formed based on grouping countries by the value of IIHP in 2020 (&lt;0.5 and &gt;=0.5) and the value of P (0 and 1) are given in Table <ref type="table" target="#tab_4">5</ref> Statistical characteristics testify that between IIHP and P detects a statistically significant relationship. Thus, the chances of IIHP growth are many times higher in countries with high innovation potential. At the third stage, the impact of human resource innovation analysis on the economic crisis was carried out. The value of GDP per capita in USD was chosen as an effective feature for the regression analysis at purchasing power parity (GDPpp). The results of regression analysis are presented in Figure <ref type="figure" target="#fig_7">5</ref>. The results of modeling show that there is a close and direct relationship between the state of the country's economy and the level of human innovatization. Thus, human potential innovatization should be considered as a factor in preventing the crisis of the economy.</p></div>
<div xmlns="http://www.tei-c.org/ns/1.0"><head n="5.">Conclusions</head><p>The human potential issue is gaining popularity in the research of the scientific fieldcrisis management representatives. In the framework of this area, the main focus is on the socially positive role of humans (the object of protection in a crisis; crisis prevention factor; crisis manager). In modern conditions, crisis-free development of countries is not possible without effective innovation of their businesses. The engine of human potential is the bearer of innovative change.</p><p>Despite the difference in approaches of scientists to the component structure of human potential, in its structure, we can identify components that can promote innovative development: education; knowledge; research. In this publication, the authors presented scientific results related to the construction and approbation of a methodological approach to analyzing differences in the levels of human potential innovatization of in countries. In an empirical analysis of the 9 components of the three human potential subsystems (education; knowledge; research) according to 26 countries' data, the authors proved that there is a direct and tight connection between the integrated assessments of these components. The authors also scientifically substantiate that the generalized values of these components at the country level in the form of the human resource innovatization index are inversely correlated with the crisis in the economy.</p><p>Based on the results of regression analysis revealed that countries with a high level of human potential innovatization are not only much more likely to increase the value of GDP per capita in USD, in terms of purchasing power parity. In addition, countries with a high level of human potential innovatization are more likely to show a chance to further increase innovative human assets.</p></div><figure xmlns="http://www.tei-c.org/ns/1.0" xml:id="fig_0"><head>Figure 1 :</head><label>1</label><figDesc>Figure 1: Dynamics of the array of publications volume in 2013-2021 Source: created by the authors according to [6; 7],</figDesc></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" xml:id="fig_2"><head></head><label></label><figDesc>information and communication technologies (х 8 );  research and development (х 9 ). The choice of components is determined by the availability of statistical information for 2018-2020, which was developed in the course of this study on the example of 26 countries: Switzerland (C-1); Sweden (C-2); USA (C-3); United Kingdom (C-4); Republic of Korea (C-5); Netherlands (C-6); Finland (C-7); Singapore (C-8); Germany (C-9); France (C-10); Japan (C-11); China (P-12); Brazil (C-13); Thailand (C-14); India (C-15); Bulgaria (C-16); Poland (C-17); Estonia (C-18) ); Georgia (C-19); Lithuania (C-20); Moldova (C-21); Ukraine (C-22); Russia (C-23); Uganda (C-24); Zimbabwe (C-25) Bangladesh (C-26).</figDesc></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" xml:id="fig_3"><head>Figure 2 )Figure 2 :</head><label>22</label><figDesc>allow us to think about the possible harmonization of integral assessment values of the three IIHP indicators subsystems: education, knowledge, research. education (EC) knowledge (KC) research (RC) Integral component assessment IIHP in 2018, 2019, 2020 Source: compiled by the authors</figDesc></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" xml:id="fig_4"><head>Figure 3 :</head><label>3</label><figDesc>Figure 3: IIHP visualization in 2018, 2019, 2020 Source: compiled by the authors</figDesc><graphic coords="7,73.50,450.53,243.00,129.78" type="bitmap" /></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" xml:id="fig_5"><head>Figure 4 :</head><label>4</label><figDesc>Figure 4: Verification of IIHP distributions for normality according to the Shapiro-Wilk test in 2018, 2019, 2020 Source: compiled by the authors</figDesc></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" xml:id="fig_7"><head>Figure 5 :</head><label>5</label><figDesc>Models of GDPpp dependence on IIHP Source: calculated by the authors</figDesc></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" type="table" xml:id="tab_0"><head>Table 1</head><label>1</label><figDesc>Normalized values of the system of indicators for the researched set of countries in 2020Generalized assessment for indicators, subsystems and values of IIHP for 2018-2020 for the set of researched countries are given in Table2.</figDesc><table><row><cell>С-</cell><cell>1</cell><cell>2</cell><cell>3</cell><cell>4</cell><cell>5</cell><cell>6</cell><cell>7</cell><cell>8</cell><cell>9</cell><cell>10</cell><cell>11</cell><cell>12</cell><cell>13</cell></row><row><cell>х 1</cell><cell>0.80</cell><cell>1</cell><cell cols="11">0.74 0.79 0.81 0.84 0.97 0.72 0.78 0.84 0.68 0.94 0.69</cell></row><row><cell>х 2</cell><cell cols="7">0.68 0.61 0.52 0.71 0.71 0.56 0.73</cell><cell>1</cell><cell cols="5">0.79 0.61 0.17 0.28 0.27</cell></row><row><cell>х 3</cell><cell>1</cell><cell cols="12">0.90 0.84 0.80 0.70 0.80 0.81 0.80 0.75 0.63 0.65 0.81 0.23</cell></row><row><cell>х 4</cell><cell cols="11">0.81 0.70 0.60 0.70 0.81 0.60 0.45 0.43 0.71 0.74 0.59</cell><cell>1</cell><cell>0.24</cell></row><row><cell>х 5</cell><cell cols="4">0.94 0.98 0.88 0.72</cell><cell>1</cell><cell cols="6">0.72 0.83 0.86 0.80 0.74 0.80</cell><cell>1</cell><cell>0.51</cell></row><row><cell>х 6</cell><cell cols="5">0.69 0.67 0.80 0.51 0.73</cell><cell>1</cell><cell cols="7">0.54 0.97 0.51 0.61 0.81 0.77 0.46</cell></row><row><cell>х 7</cell><cell>1</cell><cell cols="12">0.87 0.97 0.83 0.61 0.94 0.97 0.91 0.87 0.63 0.71 0.59 0.27</cell></row><row><cell>х 8</cell><cell cols="3">0.88 0.93 0.95</cell><cell>1</cell><cell>1</cell><cell cols="8">0.96 0.91 0.99 0.92 0.96 0.95 0.72 0.74</cell></row><row><cell>х 9</cell><cell cols="4">0.87 0.84 0.88 0.77</cell><cell>1</cell><cell cols="8">0.74 0.75 0.80 0.83 0.73 0.85 0.67 0.39</cell></row><row><cell>С-</cell><cell>14</cell><cell>15</cell><cell>16</cell><cell>17</cell><cell>18</cell><cell>19</cell><cell>20</cell><cell>21</cell><cell>22</cell><cell>23</cell><cell>24</cell><cell>25</cell><cell>26</cell></row><row><cell>х 1</cell><cell cols="10">0.50 0.37 0.60 0.77 0.78 0.65 0.69 0.69 0.82 0.73</cell><cell>0</cell><cell cols="2">0.49 0.13</cell></row><row><cell>х 2</cell><cell cols="12">0.45 0.40 0.48 0.49 0.66 0.56 0.57 0.38 0.59 0.69 0.16 0.29</cell><cell>0</cell></row><row><cell>х 3</cell><cell cols="10">0.14 0.44 0.44 0.40 0.50 0.16 0.30 0.29 0.45 0.29</cell><cell>0</cell><cell cols="2">0.04 0.05</cell></row><row><cell>х 4</cell><cell cols="11">0.29 0.26 0.53 0.25 0.46 0.22 0.26 0.49 0.52 0.28 0.04</cell><cell>0</cell><cell>0.06</cell></row><row><cell>х 5</cell><cell cols="10">0.38 0.21 0.47 0.49 0.60 0.27 0.46 0.28 0.41 0.49</cell><cell>0</cell><cell cols="2">0.02 0.01</cell></row><row><cell>х 6</cell><cell cols="10">0.63 0.38 0.32 0.45 0.32 0.16 0.15 0.12 0.28 0.45</cell><cell>0</cell><cell cols="2">0.07 0.07</cell></row><row><cell>х 7</cell><cell cols="12">0.54 0.42 0.31 0.21 0.42 0.11 0.53 0.05 0.37 0.40 0.32 0.05</cell><cell>0</cell></row><row><cell>х 8</cell><cell cols="11">0.48 0.52 0.72 0.80 0.88 0.54 0.74 0.61 0.44 0.80 0.16</cell><cell>0</cell><cell>0.36</cell></row><row><cell>х 9</cell><cell cols="11">0.19 0.37 0.13 0.37 0.27 0.06 0.21 0.03 0.23 0.45 0.01</cell><cell>0</cell><cell>0.04</cell></row><row><cell cols="5">Source: calculated by the authors</cell><cell></cell><cell></cell><cell></cell><cell></cell><cell></cell><cell></cell><cell></cell><cell></cell><cell></cell></row></table></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" type="table" xml:id="tab_1"><head>Table 3</head><label>3</label><figDesc>Correlation coefficients between subsystems of IIHP indicators</figDesc><table><row><cell>Subsystem</cell><cell cols="6">EC 2018 2019 2020 2018 2019 2020 2018 2019 2020 KC RC</cell></row><row><cell>EC</cell><cell>1</cell><cell>1</cell><cell>1</cell><cell cols="3">0.766 0.722 0.727 0.680 0.646 0.718</cell></row><row><cell>KC</cell><cell cols="3">0.766 0.722 0.727</cell><cell>1</cell><cell>1</cell><cell>1</cell><cell>0.895 0.921 0.937</cell></row><row><cell>RC</cell><cell cols="6">0.680 0.646 0.718 0.895 0.921 0.937</cell><cell>1</cell><cell>1</cell><cell>1</cell></row><row><cell cols="3">Source: calculated by the authors</cell><cell></cell><cell></cell><cell></cell></row><row><cell cols="2">Graphical representations (</cell><cell></cell><cell></cell><cell></cell><cell></cell></row></table></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" type="table" xml:id="tab_2"><head>Table 4</head><label>4</label><figDesc>Countries clustering by IIHP and its rate of change</figDesc><table><row><cell>Switzerland</cell><cell>Sweden</cell><cell>United States</cell><cell>United Kingdom</cell><cell>Korea</cell><cell>Netherlands</cell><cell>Finland</cell><cell>Singapore</cell><cell>Germany</cell><cell>France</cell><cell>Japan</cell><cell>China</cell><cell>Brazil</cell><cell>Thailand</cell><cell>India</cell><cell>Bulgaria</cell><cell>Poland</cell><cell>Estonia</cell><cell>Georgia</cell><cell>Lithuania</cell><cell>Moldova</cell><cell>Ukraine</cell><cell>Russia</cell><cell>Uganda</cell><cell>Zimbabwe</cell><cell>Bangladesh</cell></row><row><cell>С_1</cell><cell>С_2</cell><cell>С_3</cell><cell>С_4</cell><cell>С_5</cell><cell>С_6</cell><cell>С_7</cell><cell>С_8</cell><cell>С_9</cell><cell>С_1</cell><cell>С_11</cell><cell>С_12</cell><cell>С_13</cell><cell>С_14</cell><cell>С_15</cell><cell>С_16</cell><cell>С_17</cell><cell>С_18</cell><cell>С_19</cell><cell>С_20</cell><cell>С_21</cell><cell>С_22</cell><cell>С_23</cell><cell>С_24</cell><cell>С_25</cell><cell>С_26</cell></row></table></figure>
<figure xmlns="http://www.tei-c.org/ns/1.0" type="table" xml:id="tab_4"><head>Table 5</head><label>5</label><figDesc>Analysis of the distribution of countries by IIHP and P</figDesc><table><row><cell cols="2">P; IIHP 2020 &lt;0.5</cell><cell cols="2">P; IIHP 2020 &gt;=0.5</cell><cell>χ2</cell><cell>Cramer's V</cell><cell>Fisher's exact test</cell></row><row><cell>0 6</cell><cell>1 6</cell><cell>0 2</cell><cell>1 12</cell><cell>15.4</cell><cell>0.772</cell><cell>0.0001</cell></row><row><cell cols="4">Source: calculated by the authors</cell><cell></cell><cell></cell><cell></cell></row></table></figure>
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