The labor market is a dynamic system that requires constant monitoring and analysis. To determine the vector of activity of subjects of the labor market and information about market conditions, the need for modeling and forecasting key indicators of the labor market increases. No less important is the methodological collection, analysis and comparison of information related to the functioning of the labor market, forecasting and planning of market activities for further decision-making in management. In modern publications on economics, devoted to the analysis of the labor market, not enough attention is paid to studies that generally cover all methods of economic and mathematical modeling and management of the labor market. Most often, there are scientific works that are related only to control in a specific plane, where one or several methods are applied simultaneously. The publication highlights the main areas of labor market research and methods of economic and mathematical modeling, which are advisable to use in describing the state and dynamics of the sphere of labor relations. The main principles of economic and mathematical modeling in assessing the development of the labor market are highlighted: the consistency of forecasting, the correspondence of forecasting to modern scientific research, the adequacy of forecasts to real processes, the scenario nature of forecasts. The characteristics of economic, mathematical and statistical methods and models that can be used to manage the labor market are given. The paper presents a brief description and the possibility of applying in labor market research such methods as: the system analysis method, aggregate indexing, the indicative method, the comparison method, the assessment of external and internal factors, statistical methods based on the calculation of the standard deviation, variance, correlation coefficients and variations, statistical multivariate analysis, balance models, trend and time series analysis, correlation and regression analysis, simulation modeling, neural networks, sociological research, the method of expert estimates and others. The main software packages for the automation of the above methods are also systematized.
кандидат фізико-математичних наук, доцент, доцент кафедри економічної та управлінської аналітики Донецького національного університету імені Василя Стуса Кудрич Ю.С. асистент кафедри економічної та управлінської аналітики Донецького національного університету імені Василя Стуса Панасюк П.І. студент Донецького національного університету імені Василя Стуса
Today, there is an acute problem of negative natural phenomena such as climate change, pole displacement, pollution of the oceans, and the greenhouse effect. The work is devoted to the analysis of the problems of the ecological situation in Ukraine, as a component of the functioning of the country's economy and its monitoring. The aim of the study is to determine the relationship between the development of the Ukrainian economy and the deterioration of the environmental situation. The article explains why emissions of pollutants worsen the state of natural capital, the quality of which affects the functioning of industrial production, agriculture and other economically important industries. A map of the state of air pollution in the world in 2020 was built. The place of Ukraine in the ranking of European countries in terms of the average indicator of air pollution in 2020 is indicated. The main ways and causes of pollution of the World Ocean waters are described. A map of plastic pollution of the World Ocean has been built. A cluster analysis of the regions of Ukraine was carried out according to 10 indicators of 2019, reflecting the ecological state of the regions and regional policy in relation to the preservation of natural resources, public health, reducing the danger from total environmental pollution. To determine the influence of the ecological state in the country on the development of the economy, a correlation-regression analysis of the relationship between these factors and the GDP of Ukraine, as one of the most important macroeconomic indicators, was carried out. The analysis showed a high correlation of GDP with such indicators as emissions of pollutants into the air from stationary sources of pollution, capital investments in environmental protection, current costs for measures to protect the environment, discharge of polluted wastewater into surface water bodies. It was determined that the unoccupied territory of the Donetsk region has the worst indicators of the ecological state. Indeed, in the unoccupied territory of Donetsk region there are 4 thermal power plants, the main types of industry in the region are coal mining, coke-chemical, chemical production and metallurgy, which are environmentally hazardous.
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