Mariia Dykha

Labor productivity determines the level and quality of life of society. The technical and technological level of production determines the level of labor productivity in the country. Therefore, the purpose of the article is to substantiate the basic theoretical principles and practical recommendations for intensification of investment and innovation activity. The object of research is the processes of the intensification of the investment and innovation activity in the system of ensuring of productivity growth. The theoretical and methodological basis of the research is the scientific works of domestic and foreign authors on labor productivity and ways of its increasing. As a result of the research, the level and dynamics of labor productivity in the countries of the world have been analyzed. The level of labor productivity in Ukraine in comparison with other countries has been determined. The introduction of innovations has been determined among the key factors in the growth of labor productivity. Therefore, the strategy of the investment and innovation development has been proposed. The basic principles of effective implementation of the investment-innovation strategy and the state investment-innovation policy for ensuring labor productivity growth have been substantiated. In order to achieve the goals of state investment and innovation policy and obtain the results on the growth of labor productivity, the priorities of allocation of public finance, as well as measures to enhance the development of venture capital and to stimulate the production of high-tech production have been proposed. The combination of changes from the implementation of the investment and innovation strategy, the state investment and innovation policy will result in the growth of labor productivity, ensure the competitiveness of the economy and sustainable socio-economic development of Ukraine.

In the process of small business establishment and development, it is very important to understand both the financial needs of entrepreneurs and the main obstacles and difficulties arising in the way of financing. Alternative sources of financial support, along with traditional ones, create opportunities to increase funds, but the solution to the issue of their attraction should be based on modern effective methods and decision- making technologies. The article uses the decision tree method to determine the optimal alternative to financial support of small business at the early stages of the life cycle. The results highlight the importance of alternative source of resources for small business entities, namely business angels’ means. The empirical and statistical analysis confirms that access to alternative sources of financing for small businesses in EU countries is improving, while in Ukraine, informal financing is a rather new and underdeveloped area. Based on the analysis of the advantages of using the business angels’ funds, it was concluded that they need to implement their potential in small business of Ukraine. The results show that the decision tree method is an effective tool for deciding on the prioritization of a financial alternative to the small business, and is characterized by ease of use, forecast precision and problems solution novelty.

Due implementation of debtors’ financial solvency assessment models by Ukrainian banks with the aim of calculating the probability of their default (PD) is the next step towards the integration of Ukrainian banking system into global banking community, convergence of methodical approaches to assessing the credit risk with standards of international practice, possibility of using IRB-approach (an approach based on internal ratings) for calculating the regulatory requirements to capital adequacy.
The analysis of approaches to bank credit portfolio segmentation according to types of debtors and debtors’ financial solvency assessment models, depending on the performed segmentation and accumulated bank statistical data, from the point of view of its suitability for Ukrainian banks, will enable the banks to choose the most suitable ones for implementation taking into account nature and complexity of operations performed.
Such approaches will be more adapted to minimum capital requirements, simultaneously agreeing with national supervisory priorities.

Today Ukrainian business entities operate in conditions of macroeconomic instability, environmental disturbance, energy dependence on risk of instable and interrupted supply and high cost of energy resources, excessive energy consumption and inefficient use of fuel and energy resources, which requires immediate actions as for finding solutions to ensure energy security. The goal of the article is to solve multi-criteria tasks focused on making managerial decisions regarding the development of enterprise energy security system based on evaluation of influence of numerous factors. As a result of this study, main components of energy security of the enterprise and most important influence factors are determined. The mathematical model of the hierarchy of factors in terms of their influence on the energy security of the enterprise with the use of graph theory is developed. Use of iterative procedure to determine the levels of hierarchy of factors allowed to assess the importance/priority of their influence on energy security of the enterprise. Thus, the developed model of hierarchy of factors based on the applied scientific and methodical approach to determine their influence on energy security of the enterprise provides the opportunity to get a detailed idea of factors interaction, interconnections and influence on energy security of the enterprise, which ultimately leads to elaboration of complex optimal/agreed managerial decisions in context of development and implementation of energy security system of the enterprise.

The agrarian market participants operate in a changing market environment. Their activities are characterized by a high level of risk, in particular, price risk, which determines the likelihood of failure in achieving the planned results. The purpose of the paper is to analyze the dynamics of prices for malted barley and determine the main factors influencing the price of malted barley in the agricultural market of Ukraine. The theoretical and methodological basis of the study is the scientific works of domestic and foreign authors on the problems of pricing management. Methods of data analysis, synthesis, and generalization of results are used. As a result, one can notice a high level of price fluctuations, significant price fluctuations during the year, absence of a uniform inversely proportional effect between the volume of barley production and its purchasing prices, and presence of disparity between the selling price of barley and the production costs of grain producers. The key factors that determine the price of malted barley include market saturation, grain quality, production expenditures, conditions on the market of barley fodder, contractual relations (which are sufficiently standardized but do not protect agricultural producers from risks), public policy through regulation market. The study outlined recommendations regarding the need to improve the legal regulation of relations and the development of a system to ensure the functioning of the grain market, effective cost management, introduction of innovative agrotechnologies, and financial hedging instruments.

The purpose of the study is to explore the influence of central bank digital currency on stock markets. To realize the purpose, the TVP-VAR model was built, which determines the impact of volatility of the CBDC attention index (CBDCAI) on the volatility of stock market indices. The study uses a time-varying vector autoregressive model that analyzes weekly data from the first week of January 2015 to the first week of July 2023. The endogenous vector to be assessed by VAR contains CBDCAI and stock market indices of different countries (France: CAC 40, The United States of America: S&P 500, Germany: DAX 40, United Kingdom: FTSE 100, China: SSEC, The Netherlands AEX 25, Switzerland: SMI 20, Japan: Nikkei 225, India: NIFTY 50, Brazil: BVSP, South Korea: KOSPI). The results of the TVP-VAR model show that compared to stock market indices, CBDCAI appeared to be relatively independent and isolated. Interdependence and mutual influence between the digital currency market of central banks and stock markets were also revealed. In addition, CBDC functions primarily as a volatility absorber rather than a source of volatility. Despite the overall ability of the CBDC market to absorb fluctuations in volatility, it may also change its function with the widespread adoption of central bank digital currencies in many countries.

This paper investigates the interaction between decentralized financial services and the traditional banking system by building VAR models, conducting Granger causality tests, building impulse response functions, and performing variance analysis. To implement the model, banking indicators of the USA, India, and Great Britain were selected: the volume of commercial and industrial loans, interest rate, consumer price index, total liabilities and capital of banks, aggregate deposits, federal funds rate (for the USA), and repo rate (for India). The study examined central bank data of the specified countries from July 2018 to January 2024 with the TVL indicator, which measures the sum of all assets locked in DeFi protocols. The results of the impulse response function (IRF) for countries demonstrate different interactions between TVL and bank indicators. The US response to TVL shocks demonstrates a stimulative monetary policy, with significant Fed rate reductions and increased commercial lending to boost economic activity. In contrast, India’s monetary stimulus, marked by declining repo rates and growth in banking sector liabilities and deposits, aims to enhance economic resilience. The UK, however, adopts a conservative monetary approach, with sharp bank rate increases and mixed lending and deposit responses, prioritizing financial stability. Analysis across these nations highlights different impacts of financial indicators on TVL. In the US, the evolving relationship between TVL and bank indicators reflects the financial system’s complexity. India’s sensitivity to monetary policy, credit conditions, and inflation significantly influences TVL. In the UK, central bank decisions, particularly the bank rate, play a crucial role in financial market dynamics.

Acknowledgment
The authors appreciate the assistance in the preparation of the article provided by the University of Debrecen Program for Scientific Publication and the János Bolyai Research Scholarship of the Hungarian Academy of Sciences.

Russian aggression adversely affected the economy of Ukraine and emphasized the need to adapt the best practices of EU countries to determine steps to restore the country’s competitiveness. This study aims to determine the influence of the innovative development of countries on their competitiveness and identify prospects for Ukraine’s post-war economic recovery. The study constructed neural networks to assess the relationships between the factors of innovative development and the competitiveness of the EU countries and Ukraine. Six main factors of innovative development of countries are identified: “innovations in business (S1),” “intellectual property (S2)”, “innovations in industry (S3),” “eco-innovations (S4),” “innovation management (S5),” and “digital innovations (S5).” Groups of factors are determined by the strength of influence (strong, moderate, or weak). For Ukraine, S1 and S6 have a strong effect (33.3%), S5 shows moderate (16.7%), S2, S3, and S4 show weak effects (50%). For EU countries, S1 and S6 have a strong influence, S2 and S3 – moderate, S5 and S4 – weak. This comparative analysis concluded that EU countries consider intellectual property, green economy, and state innovation policy as key components of their competitiveness. The results discovered a weak relationship between intellectual property protection, innovation in industry, and competitiveness of Ukraine compared to EU countries. However, digital innovations significantly and positively affect Ukraine’s competitiveness.