Managing and evaluating the probability of bankruptcy of Ukrainian enterprises is one of the most complex and relevant problems of the economy and management. In the context of Ukraine’s integration into the international space, there is an arising issue of assessing the bankruptcy of Ukrainian enterprises that meets international financial standards and allows administering this process. A qualitative assessment of the bankruptcy of an enterprise is possible only using artificial intelligence methods – the fuzzy sets method, which allows including qualitative and quantitative indicators to the model for assessing bankruptcy of enterprises in Ukraine. The aim of the article is to improve the existing method for assessing the probability of bankruptcy of Ukrainian enterprises on the basis of the fuzzy sets method, which will include indicators of international financial reporting and allow more efficient administration and management of this process. The subject of the research is the process of formalizing the method of the enterprise bankruptcy assessment in accordance with the indicators of International Financial Reporting Standards. The study offers a mechanism for a comprehensive assessment of the probability of bankruptcy of Ukrainian enterprises with the use of the methods of fuzzy sets, which is based on international financial indicators: current ratio, payable turnover ratio, equity turnover ratio, return on assets, equity-to-debt ratio. The mechanism allows quickly managing bankruptcy conditions. In order to administer the economic activity of the bankrupt enterprises, based on the theory of a fuzzy sets, a system of enterprises management takes into account the international financial reporting.

The full-scale aggression unleashed by the russian invaders against Ukraine on February 24, 2022, became an unexpected horror that struck the life of this European country. The war radically changed absolutely everything and for everyone. It has crippled the fate of millions of innocent people, claimed the lives of tens of thousands.The crazy decisions of the russian leadership and the influx of its hordes have turned a huge number of Ukrainian cities and towns into hell. Destroyed or damaged urban infrastructure, homes and businesses, hospitals and schools.These monsters did not spare the universities either.

In this article, an updated approach to investigate the effects of demographic factors on economic growth is proposed. The initial hypothesis was that these factors significantly affected production proportions, determining development vectors. The predictable shifts in production dynamics are considered for the institutional framework. The article investigates the statistically significant relationships between the demographic variables and economic growth for the sample of the OECD countries (excluding Columbia) and Armenia, Belarus, Bulgaria, Croatia, Georgia, Kazakhstan, Romania, the Russian Federation, and Ukraine, from 1990 to 2017; unbalanced panel data was used. The investigation aimed to highlight the intrinsic interconnection between the changes in demographic variables (e.g., the working‑age population growth rate and the average life expectancy growth rate) and economic growth. Our investigation focused on the issue of whether demographic influence on economics was the same for advanced and developing countries in the sample. Over the period, a significant increase in life expectancy adversely affected the real GDP per capita growth rate. However, the empirical study pointed out that life expectancy was strongly linked to nominal GDP per capita. In advanced countries, the demographic indicator was considerably higher than in emerging markets. We found that the rise in the working‑age stratum of the nation’s population radically reduced the output dynamics as well, but that interconnection was not robust. The institutional framework should be taken into account in order to achieve a favorable performance of public governance in the long‑run. The main demographic variables should be properly forecasted and calibrated for potential endogenous economic triggers. Both public and private investments are important when considering the economic growth rates that are achieved. We propose a balanced approach to macroeconomic policy regarding both demographic and institutional determinants.

The study aims to investigate the relationships between the volume of net migration and the economic development of individual European countries, which will make it possible to forecast the level of GDP and strengthen their migration policy. Correlation-regression analysis was used based on statistical data from Eurostat and the State Statistics Service of Ukraine for the period 2014−2021 for selected European countries (the EU-27 member states, Switzerland, and Ukraine). The correlation-regression analysis showed a relationship between the volume of net migration and the level of GDP. The linear correlation equations forecasted the value of the GDP level depending on the influence of a single factor – the volume of net migration. The attention is focused on the importance of migration, which ensures economic growth for Poland. It is attractive due to a simpler mechanism for moving immigrants than in other EU-27 countries, ease of language learning and easier adaptation, territorial proximity, and a higher standard of living compared to neighboring countries that were part of the Soviet Union. Thus, an increase in net migration to Poland by 1% will lead to an increase in gross domestic product by 1.43 million euros. Due to Russia’s war against Ukraine, net migration from Ukraine to Poland has increased significantly, potentially increasing Poland’s GDP in 2023 by 0.08% or 529.54 million euros.