Issue #4 (Volume 19 2020)

Current trends in the socio-economic development of the world community have predetermined a close relationship between the parameters of the dynamics of national economies and their structural proportions. Changes in the quantitative proportions and the qualitative state of the world economy as a system determine the trend in the dynamics of the sectoral structure of the national economy. Despite the post-industrial nature of the development of countries with market economies, the source of their structural changes remains domestic economic growth, which is caused by the redistribution of capital and labor in high-tech manufacturing industries. Therefore, the purpose of this study is to formulate a general scheme for the correct assessment of the secondary sector of the Ukrainian economy based on the possibility of using analytical generalizations. The object of research is the structure of the types of activities that form the secondary sector of the national economy. The dynamics of this sector is largely determined by price characteristics. Therefore, in the analysis of reproduction processes, structural proportions associated with different price elasticities are taken into account. Since the basis for the formation of the price of products is the cost of their production, and the quantitative proportions of the economy determine the setting of new strategic goals, the article traces the dynamics of the relationship of zones and states of balanced indicators that reflect the activities of an industrial group as one of the forms of business organization. Reduction of dynamics indicators to one base allows them to be compared at all levels of generalization of data and to track trends that more accurately reflect the real state of the secondary sector of the national economy.

The work is focused on solving a set of problems related to the functioning of the enterprise (firm) in a competitive market environment. The stability of the firm in market conditions is determined by the ability to optimally manage available resources, effective planning for timely promotion of new products, the ability to adequately respond to challenges posed by sudden changes in market conditions. An important factor in achieving economic stability of the enterprise is the presence of the internal concept of self-development, which combines two main functions - marketing and management system (management). In this article the methodology of economic and mathematical modeling of a market condition of firm as process of interaction of functions of marketing and management has received the further development. A model is proposed, which is built in line with the paradigm of economic synergetics and is a system of two nonlinear ordinary differential equations. It is proved that in this situation the classical linear principle of superposition loses its relevance and does not allow the application of the traditional apparatus of econometric analysis. Therefore, the most important for the implementation of the practice of economic forecasting is the construction of areas of stability of the equilibrium of the firm. According to the results of the study, the emphasis is placed on the need to develop criteria for the proximity of system parameters to the dangerous limits of loss of stability by the firm, during the transition through which the economic system changes its dynamic mode catastrophically. A key place in the work is given to determining the parameters of cyclic processes, indicating the amplitude, frequency and nature of the stability of periodic trajectories. The presented results of numerical modeling have practical value and can be used for the analysis and forecasting of parameters at separate stages of the corresponding periodic modes of functioning of the enterprises with various types of stability.

The study focuses on the need to update tools for making local governance decisions using modern information technology in an environment of unpredictability added by the pandemic. Policy formulation by the authorities, especially local governments, is faced with the demand for sustainable development due to the obstacles and risks that have arisen. The purpose of the paper was to create a model for an intelligent information system to rank input qualitative information as an object in accordance with sustainability criteria for determining the local government’s policy on budgetary support for entrepreneurial activity. Fuzzy informatics methods used in soft computing based on fuzzy logic improve estimation potential. The activity in сommunity-based tourism (CBT) was chosen as a basis for simulating the “Intelligent Ranking System” for local budgeting. In the paper, the system ranks four factors of sustainability according to the importance of local government activity by nine criteria, whose fuzzy values are calculated based on expert judgments within the framework of six linguistic variations. Simulation of future directions of budgeting was developed using unified answers from the example of India for applying in local tourism. The basis of the system matrix is formed through the subsequent analysis of deviations from the limiting variations of the maximum positive and maximum negative impressions of experts. The model of this ranking system will be useful for service-oriented activities where consumer impressions are an important development requirement.

The goal of the paper is to disclose the links between the dynamics of macroeconomic indicators and the level of bank loan rates based on international and Ukrainian practice. On the basis of the previous analysis, the paper also aims to identify the key trends in the formation of loan prices in the long run and identify problematic issues related to bank loan rates. The main characteristics of bank lending rates in Ukraine are: a) their high rates; b) sharp changes in the weighted average bank loan rates from year to year; c) higher loan rates for households compared to the cost of bank loans for businesses; d) higher bank loan rates for short- and medium-term loans versus long-term ones; e) lower rates on loans in foreign currency compared to the loans in hryvnia; and f) high share of non-performing loans to households and businesses in bank portfolios. In the context of world and Ukrainian practice, the paper demonstrates the reverse effect between macroeconomic indicators such as GDP per capita, the ratio of loans to GDP, the ease of doing business index and bank loan rates. The article also demonstrates a direct relationship between the dynamics of inflation rate in the country, the dynamics of non-performing bank loans and their rates.

Non-bank financial institutions play an important role in the non-bank financial service markets expressed in expanding the access to financial services for individuals and legal entities. The non-bank financial service markets demonstrate their performance peculiarities in the pre-crisis and post-crisis periods that bring up to date the need to form a scientific presentation of their development trends. Therefore, it is necessary to provide scientific background and identify the regress and progress processes in the non-bank financial service markets. The research aim is to develop an analytical approach to determining the peculiarities of the development processes in the non-bank financial service markets. The research assesses the key indicators of the non-bank financial service markets in terms of quantity by dividing a set of values into groups by cluster analysis and multidimensional object clustering by a system of indicators, as well as identifying the progress and regress patterns in the non-bank financial service markets. Achieving the research results requires taking into account the above-mentioned objectives fulfilled in seven stages. The research results reflect the influence on the financial service markets exerted by the governmental regulation policy and the consumer protection level in these markets.