=Paper= {{Paper |id=Vol-3187/paper4 |storemode=property |title=Fostering Gender Equality to Stimulate Economic Growth: Legal and Institutional Measures to Enhance Economic Security of EU Member-states and Ukraine |pdfUrl=https://ceur-ws.org/Vol-3187/paper4.pdf |volume=Vol-3187 |authors=Volodymyr Tokar,Ellana Molchanova,Yuliia Honcharova,Tetiana Zhyrova,Kateryna Ilikchiieva |dblpUrl=https://dblp.org/rec/conf/cpits/TokarMHZI21 }} ==Fostering Gender Equality to Stimulate Economic Growth: Legal and Institutional Measures to Enhance Economic Security of EU Member-states and Ukraine== https://ceur-ws.org/Vol-3187/paper4.pdf
Fostering Gender Equality to Stimulate Economic Growth: Legal
and Institutional Measures to Enhance Economic Security of EU
Member-states and Ukraine
Volodymyr Tokar1, Ellana Molchanova1, Yuliia Honcharova1, Tetiana Zhyrova1,
and Kateryna Ilikchiieva2
1
    Kyiv National University of Trade and Economics, 19 Kyoto str., 02156, Kyiv, Ukraine
2
    Kyiv National Economic University named after Vadym Hetman, 54/1 Peremogy ave., 03057, Kyiv, Ukraine

                Abstract
                The article discloses the pathway for enforcing gender equality via legal measures to
                stimulate economic growth enhancing economic security of EU member-states and Ukraine.
                Our calculations using Spearman coefficient have shown that the rank correlation coefficient
                of GDP per capita and gender gap in EU member-states is statistically significant. Therefore,
                there is a direct and weak connection between gender gap levels and GDP per capita at
                current market prices of EU member-states. Female empowerment overcoming stereotypes,
                including gradual eradicating of the false concept of so-called “masculine” jobs, still needs
                further expansion as only a small percentage of women reach the highest echelons of power
                influencing domestic and international political, economic and social processes. The global
                Covid-pandemic creates numerous threats and opportunities caused by social and economic
                restructuring including the expansion of flexible and remote works, online learning, welfare
                challenges, etc. The article proves that governments should concentrate on achieving gender
                equality in health care, education, finance, economy, politics and other spheres to respond to
                modern challenges. The experience of developed countries, including EU member-states,
                shows that guaranteeing gender equality results in social and economic progress, therefore,
                ensuring economic security of the state.

                Keywords1
                Economic development, EU member-states, gender equality, gender gap index, GDP per
                capita, legal regulation, Ukraine.

      Introduction
   Ensuring equal rights and opportunities for women and men is top priority for any democratic
nation. Gender equality is the value and goal to be achieved to guarantee justice and social
development. Female empowerment and gender equality is one of 17 key goals of sustainable
development adopted by the United Nations [13], also being the universal criterion for assessing the
level of socioeconomic development and freedom. For instance, female empowerment in education
improves health care, increases household incomes, and reduces infant mortality.
   The United Nations and its different specialized institutions have adopted more than 100
regulations aimed at implementing the principle of gender equality. However, the lack of national
legal mechanisms for enforcing international law results in terrible outcomes. For example, women are
not entitled to have passports without the consent of their husbands in more than 30 countries that are
parties to the Beijing Declaration on Gender Equality [14]. Married females are not allowed to decide
which country's citizenship they will receive in 22 countries. Women can not work without the


CPITS-II-2021: Cybersecurity Providing in Information and Telecommunication Systems, October 26, 2021, Kyiv, Ukraine
EMAIL: v.tokar@knute.edu.ua (V. Tokar); e.molchanova@knute.edu.ua (E. Molchanova); y.goncharova@knute.edu.ua (Y. Honcharova);
zhyrova@knute.edu.ua (T. Zhyrova); ilikchiieva@gmail.com (K. Ilikchiieva)
ORCID: 0000-0002-1879-5855 (V. Tokar); 0000-0001-8043-1916 (E. Molchanova); 0000-0003-4679-3715 (Y. Honcharova); 0000-0001-8321-
6939 (T. Zhyrova); 0000-0003-1297-0293 (K. Ilikchiieva)
             ©️ 2022 Copyright for this paper by its authors.
             Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
             CEUR Workshop Proceedings (CEUR-WS.org)



                                                                                 38
permission of their husbands in more than 20 countries. There are countries where women do not have
the right to vote (Saudi Arabia, Vatican), or this right is limited, for example, you need to have primary
or higher education (Brunei, Lebanon, UAE). The absence or insufficient number of relevant court
precedents discourage females to fight for their rights as they do not believe in justice any more.
   In contrast, the “Gender Equality in the European Union” states that equal treatment for men and
women has been one of the main principles of the EU since its inception, and the principle of gender
equality is central to all its activities [2]. The EU Gender Equality Strategy 2020–2025 foresees that
females and males will have equal chances for success and leadership within European society [3].
The European Union is a wonderful example of pursuing the gender equality at at the regional level
and ensuring its implementation in the process of political decision-making. Therefore, the impact of
gender equality on socioeconomic development of EU member-states needs further investigations.

   Literature Review
    The abundant literature on gender equality discloses a lot of components, problems and prospects
for achieving gender equality. For instance, Kabeer [6] demonstrates that patriarchal principles shrink
opportunities for economic growth hindering gender equality. Mitra, Bang, and Biswas [9] question
the efficiency of fighting for equal outcomes instead of pursuing the meritocratic principle of equal
opportunities for men and women. Portalatin [10] points out potential danger of technological
progress for women as they are more vulnerable in fighting for the downsizing job market.
    Agarwal [1] argues that ending poverty and hunger depends on successful achieving gender
equality. Johnson, Kovarik, Meinzen-Dick, Njuki, and Quisumbing [5] proved that legalizing female
ownership of agricultural assets stimulates the growth on households’ income. Moreover, Theriault,
Smale, and Haider [11] showed that eradicating the stereotype of incapable female managers results
in the growing agricultural sustainability. Finally, Kolinets and Tokar [Kolinets] shed light on
competitiveness of EU agricultural business entities managed by females.
    Vinska and Tokar investigated the interconnection between political female empowerment and
economic development and gender equality in European countries; revealed the interplay between
gender equality and socioeconomic development, as well as innovation competitiveness of EU
member-states; verified the adherence to European standards of gender equality in Ukrainian banks
[15-19].
    Despite numerous articles on different aspects of gender equality, only Tokar and Wasilewska
[12] elaborated the conceptualization of gender equality within the framework of economic security
of the state. Therefore, this article aims at expanding this topic disclosing legal measures designed to
bridge the gender gap resulting in enhancing economic security.

   Methodology
   We use the Spearman coefficient to investigate the interplay between GDP per capita at current
market prices and values of gender gap index of EU member-states in 2016-2020.
   Ошибка! Источник ссылки не найден. shows that the average growth of GDP per capita at
current market prices in EU member-states was 11.6 percent in 2016-2020. Luxembourg had the
biggest average value of 98235 euros, while Bulgaria was the laggard with only 7938 euros.

Table 1
The ranks of EU Member-states by GDP per capita at current market prices in 2016-2020, in euros
      Year        2016       2017        2019         2020      Average       Change, %     Rank
 Luxembourg      93930      95170      102200        101640       98235           8.2         1
 Ireland         57020      62550       72260         73590       66355          29.1         2
 Denmark         49420      51140       53370         53600       51883           8.5         3
 Sweden          46990      47730       46390         45850       46740          -2.4         4
 Netherlands     41590      43090       46880         45870       44358          10.3         5
 Austria         40920      41990       44780         42300       42498           3.4         6


                                                   39
Finland          39580       41080        43510       42940       41778      8.5        7
Germany          38070       39440        41510       40120       39785      5.4        8
Belgium          37960       39130        41460       39110       39415       3         9
France           33430       34250        36140       34040       34465      1.8        10
Italy            28210       28940        29980       27780       28728     -1.5        11
Malta            23190       25010        26920       24630       24938      6.2        12
Spain            23980       24970        26430       23690       24768     -1.2        13
Cyprus           22230       23410        25270       23400       23578      5.3        14
Slovenia         19590       20820        23170       22010       21398     12.4        15
Portugal         18060       19020        20800       19660       19385      8.9        16
Estonia          16670       18130        21220       20440       19115     22.6        17
Czech
                 16790       18330        21140       20120       19095     19.8        18
Republic
Greece           16170       16470        17110       15490       16310     -4.2        19
Slovakia         14920       15540        17220       16770       16113     12.4        20
Lithuania        13560       14950        17470       17510       15873     29.1        21
Latvia           12940       13890        15900       15430       14540     19.2        22
Hungary          11830       12960        14950       13940       13420     17.8        23
Poland           11110       12170        13900       13640       12705     22.8        24
Croatia          11170       11920        13340       12170       12150      9          25
Romania           8630        9580        11510       11290       10253     30.8        26
Bulgaria          6820        7400        8780        8750        7938      28.3        27
Average          27955       29225        31615       30584       29845     11.6        X
   Source: authors’ own calculations and compilation based on [4]

    Ошибка! Источник ссылки не найден. indicates that highest average scores of gender
equality among EU Member-states in 2016-2020 belonged to Finland (0.834), Sweden (0.820), and
Ireland (0.797), while Cyprus (0.692), Malta (0.691), and Hungary (0.677) were the outsiders.

Table 2
The ranks of EU Member-states by Gender Gap Index in 2016-2020
       Year       2016       2017       2019         2020      Average    Change, %    Rank
 Finland          0.823     0.821       0.832        0.861      0.834       0.038       1
 Sweden           0.816     0.822       0.820        0.823      0.820       0.007       2
 Ireland          0.794     0.796       0.798        0.800      0.797       0.006       3
 Germany          0.778     0.776       0.787        0.796      0.784       0.018       4
 France           0.778     0.779       0.781        0.784      0.781       0.006       5
 Denmark          0.776     0.778       0.782        0.768      0.776       -0.008      6
 Latvia           0.756     0.758       0.785        0.778      0.769       0.022       7
 Spain            0.746     0.746       0.795        0.788      0.769       0.042       8
 Slovenia         0.805     0.784       0.743        0.741      0.768       -0.064      9
 Lithuania        0.742     0.749       0.745        0.804      0.760       0.062       10
 Belgium          0.739     0.738       0.750        0.789      0.754       0.050       11
 Bulgaria         0.756     0.756       0.727        0.746      0.746       -0.010      12
 Portugal         0.734     0.732       0.744        0.775      0.746       0.041       13
 Netherlands      0.737     0.747       0.736        0.762      0.746       0.025       14
 Estonia          0.731     0.734       0.751        0.733      0.737       0.002       15
 Austria          0.709     0.718       0.744        0.777      0.737       0.068       16
 Poland           0.728     0.728       0.736        0.713      0.726       -0.015      17
 Croatia          0.711     0.712       0.720        0.733      0.719       0.022       18
 Luxembourg       0.706     0.712       0.725        0.726      0.717       0.020       19



                                              40
 Romania            0.708       0.711        0.724        0.700       0.711         -0.008         20
 Italy              0.692       0.706        0.707        0.721       0.707         0.029          21
 Slovakia           0.694       0.693        0.718        0.712       0.704         0.018          22
 Czech
                    0.688       0.693        0.706        0.711       0.700         0.023          23
 Republic
 Greece             0.692       0.696        0.701        0.689       0.695         -0.003         24
 Cyprus             0.684       0.684        0.692        0.707       0.692         0.023          25
 Malta              0.682       0.686        0.693        0.703       0.691         0.021          26
 Hungary            0.670       0.674        0.677        0.688       0.677         0.018          27
 Average            0.736       0.738        0.745        0.753       0.743         0.017           X
    Source: authors’ own calculations and compilation based on [20-23]
    Moreover, the logical and legal method has enabled us to identify the effectiveness of international
law in ensuring gender equality. Finally, we used the system and structural method to substantiate pos-
sible legal measures aimed at enhancing the level of economic security of Ukraine.

   Results
   Ошибка! Источник ссылки не найден.consists of ranks assigned to attribute Y (GDP per
capita) and factor X (gender gap).
Table 3
Ranks of EU Member-states by Gender Gap Index and GDP per Capita in 2016-2020
             Gender gap (X)    GDP per capita (Y)  Rank X, dx          Rank Y, dy
                   0.737             42498              12                  22
                   0.754             39415              17                  19
                   0.746              7938              14                   1
                   0.719             12150              10                   3
                   0.692             23578               3                  14
                   0.700             19095               5                  10
                   0.776             51883              22                  25
                   0.737             19115              12                  11
                   0.834             41778              27                  21
                   0.781             34465              23                  18
                   0.784             39785              24                  20
                   0.695             16310               4                   9
                   0.677             13420               1                   5
                   0.797             66355              25                  26
                   0.707             28728               7                  17
                   0.769             14540              20                   6
                   0.76              15873              18                   7
                   0.717             98235               9                  27
                   0.691             24938               2                  16
                   0.746             44358              14                  23
                   0.726             12705              11                   4
                   0.746             19385              14                  12
                   0.711             10253               8                   2
                   0.704             16113               6                   8
                   0.768             21398              19                  13
                   0.769             24768              20                  15
                   0.820             46740              26                  24
   Source: authors’ own calculations



                                                  41
   Ошибка! Источник ссылки не найден. is the reshaped matrix due to the necessity to overcome
the problem of the same ranks contained in Ошибка! Источник ссылки не найден..




                                             42
Table 4
The Reshape Matrix of Ranks
                          Rank X, dx             Rank Y, dy          (dx – dy)2
                             12.5                   22                 90.25
                              17                    19                   4
                              15                     1                  196
                              10                     3                   49
                               3                    14                  121
                               5                    10                   25
                              22                    25                   9
                             12.5                   11                 2.25
                              27                    21                   36
                              23                    18                   25
                              24                    20                   16
                               4                     9                   25
                               1                     5                   16
                              25                    26                   1
                               7                    17                  100
                             20.5                    6                210.25
                              18                     7                  121
                               9                    27                  324
                               2                    16                  196
                              15                    23                   64
                              11                     4                   49
                              15                    12                   9
                               8                     2                   36
                               6                     8                   4
                              19                    13                   36
                             20.5                   15                 30.25
                              26                    24                   4
                          Sum: 378               Sum: 378           Sum: 1799
   Source: authors’ own calculations
   We calculate the checksum to verify the matrix:
                                     (1 + 𝑛)𝑛 (1 + 27)27                          (1)
                           ∑ 𝑥𝑖𝑗 =               =             = 378
                                          2              2
   We compute the Spearman correlation coefficient:
                                               ∑ 6𝑑2 + 𝐴 + 𝐵                      (2)
                                   𝜌 =1−6
                                                   𝑛3 − 𝑛
   Where:
                                            1                                     (3)
                                      𝐴=       ∑(𝐴𝑗3 − 𝐴𝑗 )
                                           12
                                            1                                     (4)
                                     𝐵=       ∑(𝐵𝑘3 − 𝐵𝑘 )
                                           12
   j – numbers of bundles in order for the attribute x;
   Аj - the amount of identical ranks in the j-th bundle in x;
   k – numbers of bundles in order for the attribute y;
   Вk – the amount of identical ranks in the k-th bundle in y.
                                          6 ∗ 1799 + 1
                                 𝜌=1−                    = 0.451
                                            273 − 27
   The attribute Y and factor X are connected directly, but weakly.
   The critical point is:




                                                 43
                                                                                                           (5)
                                                             1 − 𝜌2
                                     𝑇𝑐𝑟𝑖𝑡𝑖𝑐𝑎𝑙 = 𝑡(𝛼, 𝑘) ∗ √
                                                             𝑛−2
    Where:
    n – the sample size;
    𝜌 – the Spearman’s rank correlation coefficient;
    t(α,k) – the critical point of the two-sided critical region, which is found from the table of critical
points of the Student's distribution, according to the significance level α and the number of degrees
of freedom k = n-2.
    If |𝜌| < Tcritical , then we do not reject the null hypothesis, and the rank correlation is not significant.
If |𝜌| > Tcritical, then the null hypothesis is rejected, and the rank correlation is significant. Applying
the Student’s table, we discover that t(α/2, k) = (0.05/2; 25) = 2.385.
                                                     1 − 0.4512
                               𝑇𝑐𝑟𝑖𝑡𝑖𝑐𝑎𝑙 = 2.385 ∗ √             = 0.43
                                                       27 − 2
    As Tcritical < 𝜌, we reject the null hypothesis. Therefore, the rank correlation coefficient of GDP
per capita at current market prices and gender gap levels of EU member-states is statistically
significant and the rank correlation between the scores for two tests is significant.
    The idea of the possibility of gender equality considering physiological features of males and
females raises many questions to which there are not always unambiguous answers. Recently, there
have been debates as to whether equal rights result in equal opportunities. After all, the very idea of
gender equality is about the result. Will a woman and a man be able to achieve equal results as a
result of the same actions and circumstances? Despite the fact that women, along with men, have the
right to education, work, the right to vote in elections, etc., most women face a “glass ceiling” when
it comes to top management in both public and private sectors. But why?
    Women between the ages of 20 and 45 are not an “attractive” workforce for employers, as there
is a high probability that such a woman will take a maternity leave. This stereotype creates fears in
women who postpone the birth of a child indefinitely, and as a result have complications during late
pregnancy, moreover, generally refuse to give birth, referring to the statistics of congenital
malformations of the child, due to the “old” age of the mother.
    Such situation negatively affects demographics and violates men’s right to parenthood! A woman
who sacrifices her career for the sake of having a child, and at the same time gives the highest
positions to men who do not have to leave social and working life due to childbirth and childcare.
Ultimately, trying to combine a career, motherhood, and a large array of “family responsibilities”
leads to mental disorders and shortens a female life expectancy.
    Legislative support for a gender approach in the labor sphere, which includes ensuring the
“absence” of women during pregnancy and care for children from the social and working environment
can be a separate incentive for women and as a result positively influence national economies. It is
economically responsible and efficient to equip children's rooms, ensure flexible hours for working
mothers, etc. Moreover, the EU member-states proved that certain incentives can motivate men to
take a childcare leave on a par with women. Thus, more than 80 countries ensure the right of a parent
to take a paid childcare leave. Therefore, the creation of gender-friendly jobs, the provision of quality
education, medical care and the creation of effective, gender-oriented social programs and full access
to information are the prerequisites of a stable national economic growth resulting in enhancing
economic security of the state.
    Moreover, ensuring economic security of the state requires the consideration of gender equality.
We support the idea of Tokar and Wasilewska [12] to amend the Order of the Ministry of Economic
Development and Trade of Ukraine “On Adopting the Methodical Recommendations on Evaluating
the Level of Economic Security of Ukraine” including gender aspect in the process of evaluating
economic security of the state.
    Ошибка! Источник ссылки не найден. contains recommendations for modifying the set of
indicators of economic security of the state.




                                                      44
Table 5
Modified Indicators of Economic Security of the State Considering Gender Equality
                                                       Component of Economic Security of the
         #              Modified Indicators
                                                                        State
              The ratio: female health life
         1
              expectancy over male value, percent
              The ratio of infant mortality of girls
              and boys (mortality of children under
         2
              one year) per one thousand live births,
              percent                                           Demographic Security
              The ratio of the rate of natural
         3    increase per one thousand people of
              the existing population, percent
              The ratio of women and men of elderly
         4
              age, percent
              The ratio of difference between labor
              productivity indices and real average
         5
              monthly wages of women and men,
              percent
              The ratio of unemployment rates of
         6
              women and men, percent
              The ratio of long term unemployment
         7
              (over 12 months) of women and men
                                                               Macroeconomic Security
              The ratio of wages to social benefits
         8    and other current transfers of women
              and men, percent
              The ratio of employment of women
              and men in the informal sector of
         9    economy, percentage to the total
              number of women and men,
              respectively, percent
              The ratio of women and men with
              average total earnings per capita per
        10
              month below 75 percent of median
              total income level, percent
              The ratio of HIV-infected women and
        11    men diagnosed for the first time per
              100,000 population, percent
              The ratio of women and men with                       Social Security
              active tuberculosis diagnosed for the
        12
              first time per 100,000 population,
              percent
              Employment ratio of women and men
              aged 15-70 years, percentage of
        13
              population of the relevant age group,
              percent
   Source: [12, p. 124]

   We suggest that this Order should be modified considering the current pandemic, and new
indicators, such as the ratio of females and males infected by the Covid-19 in total and different age
groups should be added to it.


                                                 45
    We agree with Tokar and Wasilewska [12], that gender security indicators, as component of the
set of indicators for assessing the level of economic security of the state, should include findings of
the World Economic Forum (Ошибка! Источник ссылки не найден.).

Table 6
The Global Gender Gap Index Structure
        Sub-index                     Indicators                       Source of Information
                        The ratio: female labor force
                                                               International Labor Organization
                        participation over male value
                        Wage equality between women
                                                               World         Economic       Forum,
                        and men for similar work (survey,
                                                               Management Survey Questionnaire
                        data, normalized on a 0-to-1 scale)
                                                               Calculations of the World Economic
                                                               Forum on the basis of Methodology
        Economic
                        The ratio: female estimated of the United Nations Development
      participation
                        earned income over male value          Program (Methodology Described
    and opportunity
                                                               in the Human Development Report
                                                               2007/2008)
                        The ratio of legislators, public high-
                        rank officials, and female and male International Labor Organization
                        executives
                        The ratio: female professional and
                                                               International Labor Organization
                        technical workers over male value
                                                               United       Nations    Educational,
                        The ratio: female literacy rate over Scientific and Cultural Organization
                        male value                             (UNESCO), United Nations Literacy
                                                               Statistics Institute
                        The ratio: female net primary United Nations Literacy Statistics
        Education
                        enrollment rate over male value        Institute
                        The ratio: female net secondary United Nations Literacy Statistics
                        enrollment rate over male value        Institute
                        The ratio: female gross tertiary United Nations Literacy Statistics
                        enrollment ratio over male value       Institute
                        The sex ratio at birth (converted to United Nations Population Unit,
     Healthcare and female-over-male ratio)                    World Population Forecasts
         survival       The ratio: female health life World Health Organization, Global
                        expectancy over male value             Observations on Healthcare
                        The ratio: females with seats in Inter-Parliamentary Union, Women
                        parliament over male value             in Politics Reviews
                        The ratio: females at ministerial Inter-Parliamentary Union, Women
     Participation in
                        level over male value                  in Politics Reviews
       Political Life
                        The ratio: number of years with a
                                                               Calculations of the World Economic
                        female head of state (last 50 years)
                                                               Forum
                        over male value
   Source: [12, p. 125-126]

   The mixture of supranational and national legislation on gender security, as well as international
and national mechanisms for implementing measures aiming at female empowerment are the only
solution for improving the status quo.




                                                  46
   Conclusion
   Our calculations have shown that the rank correlation coefficient of GDP per capita and gender
gap in EU member-states is statistically significant. Therefore, there is a direct and weak connection
between gender gap levels and GDP per capita at current market prices of EU member-states. Thus,
ensuring gender equality stimulates economic growth and results in enhancing economic security of
the state.
   In spite of logical incentives for female empowerment and numerous efforts of the global
community to create the international legal framework to ensure equal rights and opportunities for
women and men, the latter ones continue to hold key positions in the management of large
corporations and public authorities, control the technological and defense sectors. With rare
exceptions, males are heads of national law enforcement agencies, armies, and the judiciary. Males
hold key positions in international agencies and organizations.
   The efficiency of ensuring gender equality depends on effective combination of national and
international legal and institutional measures. Legal amendments include modification of regulations
on economic security of the state by ensuring the consideration of gender while assessing the level
of economic security and enhancing it, including the expansion of the set of indicators of economic
security of the state. The prospects of further research include elaborating applied legal and
administrative measures at local, national and supranational level aimed at eradicating gender
stereotypes and inequality.

   References
[1] B. Agarwal, Gender Equality, Food Security and the Sustainable Development Goals, Current
     Opinion in Environmental Sustainability 34 (2018) 26–32. doi:10.1016/j.cosust.2018.07.002.
[2] European Commission, Gender equality in the European Union, 2011. URL: https://www.igual-
     dadenlaempresa.es/recursos/webgrafia/docs/gender-equality-in-the-european-union-2011.pdf.
[3] European Commission, Gender Equality Strategy 2020-2025, 2019. URL: https://ec.eu-
     ropa.eu/info/policies/justice-and-fundamental-rights/gender-equality/gender-equality-strat-
     egy_en.
[4] Eurostat, GDP per Capita in EU Member-states, 2021. URL: https://ec.europa.eu/eurostat/data-
     browser/view/nama_10_pc/default/table?lang=en.
[5] N. L. Johnson, et al., Quisumbing, Gender, Assets, and Agricultural Development: Lessons from
     Eight Projects, World Dev 83 (2016) 295–311. doi:10.1016/j.worlddev.2016.01.009.
[6] N. Kabeer, Gender Equality, Economic Growth, and Women’s Agency: the “Endless Variety” and
     “Monotonous Similarity” of Patriarchal Constrains, Taylor and Francis Journals Feminist Econom-
     ics 22(1) (2016) 295–321. doi:10.1080/13545701.2015.1090009.
[7] L. Kolinets, V. Tokar, Status Quo of Gender Equality in EU Rural Business Management, Man-
     agement Theory and Studies for Rural Business and Infrastructure Development 41 (2019) 400–
     408. doi:10.15544/mts.2019.32.
[8] Ministry of Economic Development and Trade of Ukraine, Order # 1277, 29 October 2013, On
     Adopting the Methodical Recommendations on Evaluating the Level of Economic Security of
     Ukraine, 2013. URL: http://cct.com.ua/2013/28.19.2013_1277.htm.
[9] A. Mitra, J. T. Bang, A. Biswas, Gender Equality and Economic Growth: Is It Equality of Oppor-
     tunity or Equality of Outcomes? Taylor and Francis Journals Feminist Economics 21 (1) (2015)
     110–135. URL: https://ideas.repec.org/a/taf/femeco/v21y2015i1p110-135.html.
[10] J. Portalatin, Technology Could Destroy More Jobs for Women Than Men, 2017. URL: http://for-
     tune.com/2017/01/28/automation-workers-women-pay-gap
[11] V. Theriault, M. Smale, H. Haider, How Does Gender Affect Sustainable Intensification of Cereal
     Production in the West African Sahel? Evidence from Burkina Faso, World Development 92
     (2017) 177–191. doi: 10.1016/j.worlddev.2016.12.003.



                                                 47
[12] V. Tokar, N. Wasilewska, Conceptualisation of the Gender Component of a Country’s Economic
     Security, International Economic Policy 1 (2019) 113–131. doi:10.33111/iep.2019.30.05.
[13] United Nations, Department of Economic and Social Affairs, The 17 Goals. Sustainable Develop-
     ment. URL: https://sdgs.un.org/goals.
[14] United Nations, UN Women, Beijing Declaration and Platform for Action. Beijing+5 Political
     Declaration and Outcome (1995, 2014). URL: https://www.ohchr.org/documents/professionalin-
     terest/cedaw.pdf.
[15] O. Y. Vinska, V. V. Tokar, European Values in Corporate Social Responsibility in Banking Busi-
     ness: Ukrainian Dimension of Gender Equality, Bulletin of the Academy of Labour, Social Rela-
     tions and Tourism 3 (2018) 27–35.
[16] O. Y. Vinska, V. V. Tokar, Gender Equality and Socioeconomic Development of the European
     Union Member-states, Eastern Europe: Economy, Business and Management 2 (2016) 32–36.
[17] O. Y. Vinska, V. V. Tokar, The Impact of Female Political Empowerment on Economic Gender
     Equity in the Black Sea Region Countries, Scientific notes of the University “KROK” 2 (54) (2019)
     176–183. doi:10.31732/2663-2209-2019-53-176-183.
[18] O. Y. Vinska, V. V. Tokar, Interdependence of Gender Equality and Innovation Competitiveness
     of the EU Countries, Global and National Economic Problems 12 (2016) 18–22.
[19] O. Y. Vinska, V. V. Tokar, Political Emancipation of Women as a Factor of Economic Develop-
     ment of the EU Countries, Scientific Bulletin of Kherson State University 18 (1) (2016) 17–21.
[20] World Economic Forum, Global Gender Gap Report 2017. URL: http://www3.wefo-
     rum.org/docs/WEF_GGGR_2017.pdf.
[21] World Economic Forum, Global Gender Gap Report 2018. URL: http://www3.wefo-
     rum.org/docs/WEF_GGGR_2018.pdf.
[22] World Economic Forum, Global Gender Gap Report 2020. URL: http://www3.wefo-
     rum.org/docs/WEF_GGGR_2020.pdf.
[23] World Economic Forum, Global Gender Gap Report 2021. URL: https://www.weforum.org/re-
     ports/global-gender-gap-report-2021.




                                                 48