Olena Zhuravka

Creating new workplaces and modernizing the existing ones to provide appropriate and highly-efficient employment of able-bodied citizens is one of the most acute economic and social issues at the current stage of development in Ukraine.
The article deals with the problems of creating new workplaces in the Ukrainian industrial sector, considers the main tendencies and suggests approaches to partially solve problems coming from the development of the workplace creation factors in order to increase workplace efficiency and its technological capacity.
The model of the number of new workplaces dependence on the impact factors system (labor, capital, research and technology developments, management quality) was developed using 19 one-factor and multi-factor equations, among which six most relevant were selected for industry as a whole and five for the processing industry.
The calculations, according to the proposed model, have shown a tendency of increasing the number of new workplaces both in industry in general and in the processing industry in particular. However, there are decreasing tendencies of the growth rate. This can be explained by the fact of the labor productivity increasing, as well as decreasing tendency in the need for new workplaces in order to restore the pre-crisis rate of production.

The issues of recognizing the rights of the LGBTQ+ community around the world and developing appropriate anti-discrimination policies and laws are one of the main topics for discussion in the global agenda. This is due to the commitment of the world community to protect human rights and meet the needs of society. The paper aims to assess the relationship between socio-economic development indicators of some European countries and the Rainbow Europe Index. To find out how discrimination against the LGBTQ+ community affects various social and economic development indicators of some European countries, a data matrix was developed and the Spearman rank correlation coefficient was calculated. The obtained results confirmed a positive relationship between the Rainbow Europe Index and GDP per capita, the Human Development Index, the Corruption Index, and the Index of Happiness. Calculations have shown that the Rainbow Europe Index had a significant impact on these indicators. The study proved the dependence of indicators and demonstrated the need to provide freedoms and rights for LGBTQ+ affiliated members in Ukraine and other European countries.

Acknowledgment
This paper is published as a part of research projects “Convergence of economic and educational transformations in the digital society: modeling the impact on regional and national security” (No. 0121U109553) and “Reforming the lifelong learning system in Ukraine for the prevention of the labor emigration: a coopetition model of institutional partnership” (No. 0120U102001).

The average agriculture output growth between 2011–2020, which stood at 3.5% against the backdrop of over 2.6% population growth rate, accounts for the present food insecurity, hunger, and malnutrition in Nigeria. The study aims to examine the impact of population growth on food security in Nigeria with data covering 1986–2020. The study employed two models: the first model analyzed agriculture output as a function of population growth rate. The second model examined the impact of population growth and agriculture productivity on economic growth. The Cochrane-Orcutt iterative method on an ordinary least squared (OLS) was employed. The study results found that population growth had a significant impact on agriculture output. However, the paper further substantiated that economic growth is significantly and positively responsive to changes in agriculture output and population growth rate in Nigeria. Among other things, the study recommended the government consider an increase in budget allocation to the agriculture sector so as to boost food output. Finally, the government may also consider introducing a policy that would encourage small families, thereby reducing the country’s population growth rate.

In the conditions of insufficient budgetary financing of the health care system and low quality of medical care in the state medical establishments of Ukraine, the importance of extra-budgetary sources of financing becomes increasingly relevant. One such source is voluntary health insurance. The aim of the paper is to compare the state and structure of medical financing in developed countries and in Ukraine, to study the global experience in the functioning of the voluntary health insurance market, and to calculate the potential capacity of the voluntary health insurance sector in Ukraine. For mathematical calculations, 20 absolute indicators of the state of the voluntary health insurance sector, as well as macroeconomic indicators, were used. The annual values of absolute indicators for the period 2010–2019 were used in forming the array of input data. Based on the experience of foreign countries, the paper substantiates the development of the voluntary health insurance in Ukraine as an extra-budgetary source of health care funding. The capacity of the voluntary health insurance sector was defined by the authors as the maximum possible amount of insurance premiums that insurers can receive in the process of selling voluntary health insurance products. The calculations made it possible to conclude that the voluntary health insurance market in Ukraine has the potential for development, as evidenced by the predominance of the potential capacity of the voluntary health insurance segment over its real indicator.

The paper aims to develop scientific and methodological approach to assessing the interaction of nonperforming loans of Ukrainian banking institutions, the profitability of the banking sector and its financial stability, which will allow a more detailed assessment of the directions and degree of mutual influence of these elements. To substantiate this interaction economically and mathematically, structural equation modeling was chosen. Particularly, Statistica was chosen as a software tool to assess the adequacy of the resulting model and determine the level of statistical significance of its parameters. Six key indicators were selected as a research information base, two for each subject of research: indicators of nonperforming loans in the banking sector (the volume of nonperforming loans and the ratio of problem loans excluding capital reserves), profitability indicators of the Ukrainian banking sector (assets profit and rate of return on capital), and indicators of financial stability of the Ukrainian banking sector (regulatory capital-to-risk-weighted assets ratio and liquid assets-to-total assets ratio). For calculations, statistic data of selected indicators for 2005–2019 were used.
As a result of calculations, mathematical data were obtained that accurately described the interaction of nonperforming loans of Ukrainian banking institutions, the profitability of the banking sector and its financial stability. The adequacy of the model was verified based on the following criteria: main summary statistics (ICSF criterion, ICS criterion, discrepancy function, maximum residual cosine), noncentrality fit indices (noncentrality parameter, population noncentrality parameter, Steiger-Lind RMSEA index, McDonald noncentrality index, adjusted population Gamma index), other single sample indices (Akaike information criterion, Schwarz criterion), and a normal probability plot.