Ihor Krupka

The ambitious goals of environmental sustainability stated in international agreements and national programs require developing strategies to achieve them. At the same time, there is a lack of empirical evidence on the environmental performance factors, which can be purposefully changed to achieve an effective result in the short and medium-term. The paper aims to find the institutional factors of national environmental performance, including financial ones, which might be effectively used as environmental sustainability management tools. For this, the relationships between the Environmental Performance Index (EPI), as the dependent variable, and the indicators of control of corruption, the effectiveness of an anti-monopoly policy, financial opportunities, undue influence, corporate culture, innovation output, GDP, and income growth among the poorest population, using a sample of 81 countries, and the technique for constructing nonlinear regression models based on the normalizing transformations for non-Gaussian data were studied.
The study findings show that environmental performance can be predicted with sufficient accuracy by a linear model of its dependence on corruption control, minority shareholders protection, judicial independence, favoritism in decisions of government officials, tax incentives, ease of access to loans, and innovation output. Adding GDP per capita to the explanatory variables of the EPI model does not significantly affect the result accuracy but changes the model shape from linear to nonlinear. The paper substantiates ways to apply results for institutional reforms and sustainability management, such as inflation targeting, public credit guarantee schemes, performance-based loans, etc.

Post-socialist governments are looking for the best options to implement a fully funded pension system along with a pay-as-you-earn pension scheme. The paper aims to establish the impact of pension assets on economic growth using the example of post-socialist countries (Hungary, the Slovak Republic, Slovenia, Poland, and the Czech Republic). The use of methods of correlation and regression analysis allows determining the type of dependence (linear, exponential, gradual, and logarithmic) of countries’ economic growth indicators on pension assets and patterns for their investment (deposits, securities of public and private sectors). The obtained economic growth indicators of the studied post-socialist countries show a strong logarithmic dependence on the size of pension assets: Gross fixed capital formation depends on changes in the pension asset amount by 76.44% and GDP by 71.01%. The economic growth of the studied post-socialist countries is most significantly influenced by pension assets invested in deposits. Investing pension savings in public and private sector securities is less effective. The proved provisions determine the expediency of moving from the predominant pay-as-you-earn pension scheme to the predominant fully funded pension system for Ukraine. Such a transformation requires a stable and efficient construction of the country’s banking system, a developed policy for reforming the pension system while considering the criteria of the internal demographic, social, and financial situation.

The paper is devoted to an under-researched topic of the international business community’s reaction to russia’s armed aggression against Ukraine. It aims to evaluate how G7 and EU financial sanctions, institutional pressure, ESG ratings, and asset value of multinational banks in russia influence their decisions to reduce activities in the invading country. The study used the Yale CELI database of companies leaving and staying in Russia for the classification tree method. The results show that none of the banks headquartered in G7 and EU member states that had no or relatively little assets in russia before the invasion are doing business there on a pre-war scale. Unlike banks headquartered in other countries, most either curtailed their presence in that market or exited the market. This indicates that financial sanctions imposed by G7 and EU member states and institutional pressure on banks in these countries to withdraw from the russian market have proven effective to a certain extent. However, these factors do not meaningfully influence the business of multinational banks with significant assets in russia. The study has not confirmed the hypothesis that a bank with higher ESG ratings is more likely to curtail its operations in the market of an aggressor country and withdraw. However, nearly all banks that scaled back significant activities or even pulled out of russia have better ESG indicators than the industry average. The results suggest the feasibility of improving the methodologies of ESG rating providers for accurately measuring business reactions to aggression and war crimes.