Purpose. To analyze the state of development of Ukraine's machinebuilding industry as a whole and its individual subsectors at the background of modern macro, microenvironment and in the context of new geopolitical situation. The task was set to model the development of the industry on the basis of the theory of fuzzy sets and to formulate suggestions for economic coopera tion with foreign investors, in particular EU countries in the field of machinebuilding. Methodology. The study is based on general scientific methods (analysis, synthesis, comparison, formalization, and others) and methods of statistical data analysis. The data regarding the main indicators of engineering enterprises' activities (the number of enterprises, the number of employed workers, average monthly nominal salary of workers, the volume of products sold by ma chinebuilding enterprises), as well as the volume of direct investments from Ukraine to economies of the world for the period of 2010-2017, was provided by the State Statistics Service of Ukraine. The apparatus of fuzzy logic (fuzzy sets) was used for studying and modeling the development of Ukraine's machinebuilding industry in the near future. This is one of the most effective math ematical theories aimed at formalizing and processing uncertainty of information. findings. The paper discusses the development trends of the machinebuilding in Ukraine for the period of 2010-2017. Despite the fact that in the structure of investments in fixed assets the machinebuilding complex makes up a large third, it was found that during 2010-2017 the number of enterprises and employed workers involved in the field of machinebuilding was steadily declin ing. Using the tools of economic and mathematical modeling based on fuzzy sets, the authors developed a model for assessing the level of development of the machinebuilding industry in the near future. According to the simulation performed, an optimistic and pessimistic forecast was developed taking into account and without taking into account the proposed parameters that cur rently affect the activities of machinebuilding enterprises in the context of the new geopolitical situation. originality. Using the tools of economic and mathematical modeling on the basis of fuzzy sets, a model for assessing the level of development of the machinebuilding industry for the near future was elaborated. Scientific originality is in the selection of quantitative and qualitative factors that have a significant impact on the dynamics of the development of machinebuilding in Ukraine. The improvement of the suggested parameters will bring Ukraine's machinebuilding to the European and world markets and will significantly improve the macroeconomic indicators of the national economy. Practical value. The model of assessing the state of Ukraine's machinebuilding industry developed by the authors will allow determining this state taking into account qualitative and quantitative factors, adapting these parameters to the real conditions of Ukraine's economy development and diver...
The purpose of this work is to determine the hydrochemical parameters of the water of the river Seret and the features of the accumulation of heavy metals by bivalve molluscs Unio pictorum L. to predict the chemical contamination of the reservoir in the near future. Water samples for the study were taken in spring (April) and summer (July) from the Seret River at two points: above and below Ternopil. It is established that the chemical composition of the water of the river Seret is formed under the influence of a number of factors, but seasonal and anthropogenic factors play a dominant role. In the spring season, a number of hydrochemical indicators (pH, water hardness, concentration of ΝΟ 2-, ΝН4+, Сl- ions and metals) have lower values than in the summer. In addition, there is an increase in the amount of organic matter, ammonium cations, nitrite ions, chloride ions, phosphate ions and a decrease in oxygen concentration below Ternopil, especially in the summer season. This is evidence that the Seret River is under significant anthropogenic impact. An increase in the concentration of metals (Mn, Cu and Pb) in summer below Ternopil was revealed, which may be due to the discharge of insufficiently treated wastewater. The series of metal concentrations in the water of the Seret River looks as follows Mn → Zn → Pb → Cd → Cu, and the series of accumulation of metals in the tissues of molluscs Unio pictorum L. has the form Zn → Mn → Cu → Pb → Cd. On the basis of bioaccumulation coefficients of heavy metals by molluscs, a prediction of the situation on their content in water for the short term based on the theory of Markov chains was made. This theory allows us to make forecasts of a factor, taking into account the possibility of accidental influences on the environment, and to investigate the highest probability of finding a factor in a certain numerical parameter. The possibility of using economic and mathematical modelling tools and statistical methods based on correlation-regression analysis using modern Matlab information systems to identify correlations between chemical indicators of water quality and biological molluscs for modelling the environmental situation of the river Seret and assessing the contribution of the studied indicators in pollution of small rivers is shown.
The specificity of ensuring the efficiency of the enterprise with financial resources, both own and borrowed, PJSC "Kyiv Confectionery Factory "Roshen" as a case study during 2017-2018 is presented in the article. Currently, the ability to finance its own activities is an important factor for the enterprise functioning. The possibility of providing the enterprise with financial resources is a necessary condition for its successful operation. The future strategy of the enterprise will depend on the type and method of providing financial resources. An assessment of the financial security of the studied enterprise with financial resources based on the analysis of the financial indicators and financial ratios results dynamics is carried out. The main place in business is occupied by income and profits generated from own and borrowed financial resources. Therefore, this study reveals the degree of dependence of the enterprise on borrowed funds and its own capital availability is analyzed. The analysis of changes in financial results and financial ratios at the studied enterprise was carried out, for most of them the positive dynamics is observed. The identified factor is positive for the financial condition of the enterprise and for the implementation of its effective financial and economic activities in the future. The main opportunities and threats to the financial condition of the enterprise in the future on the basis of the obtained results on its financial resources are identified. The main ways to eliminate the threats of a certain financial danger in the activities of the studied enterprise based on the application of modern theory based on economic-mathematical modeling Value-at-Risk are presented which makes it possible to predict the main indicators of financial activity of the enterprise in the short term.
The financial and economic activity of the leading insurance companies of Ukraine is analyzed, as the global pandemic COVID-19 has made significant adjustments in the activities without exaggeration of all companies, both nationally and globally. Therefore, the analysis of the insurance companies of the national economy is very important issue, because the accumulation of financial resources of insurance companies can be used as domestic investment in the national economy. The surveyed insurance companies: Alliance, Asuka, Arsenal Insurance, Alpha Insurance, Uniqa during the crisis period of 2019–2021, managed to maintain their position in the market of insurance services, and even improved their financial results, because insurance services are now more relevant than ever. The development of financial resources of insurance companies can be one of the levers of financing and investing in strategically important aspects of consumer life, such as health insurance, both locally (communities, regions) and more globally nationally, such as life insurance in general and insurance for example risky professions such as medics, including primary care, rescuers, military. In our opinion, more in-depth research of the insurance market of the national economy will make it possible to prepare the change in legislation and structure the economic activities and cooperation of national insurers, in order to improve the activities and monitoring of state regulatory institutions. In order to do this, in this paper we propose to use the tools of cluster analysis, using modern software with elements of artificial intelligence. The financial results of the main national insurance companies are studied, and due to modern tools of cluster analysis, we have clustered the studied insurance companies, using modern information programs Matlab, have made calculations in user-friendly interface. and have constructed the dendrogram that clearly represents the clusters formed. Modeling based on cluster analysis makes it possible to combine leading insurance companies into clusters of financial performance, which will allow and strengthen synergies between national insurers, which in turn will strengthen the exchange of experience, and possibly customer bases between existing insurance companies, and it is convenient for investors to consider companies united in insurance groups in order to invest investment resources.
The article examines the impact of crisis events in Ukraine on the export of agricultural products to EU countries and the world. The purpose of the research was the development, substantiation, and optimization of theoretical and methodological provisions as well as practical recommendations for estimating main indicators to forecast the future of the Ukrainian economy, in particular, determining through the use of economic and mathematical modeling, the influence of the level of the national trade turnover on the level of GDP and the correlation between the level of exports and the level of Ukraine's GDP. After almost thirty years of development, the Ukrainian economy faced a serious challenge and an unprecedented shock in its history due to hostilities and the escalation of the conflict in the East of the country. In particular, it was found that Russia's invasion of Ukraine, the sharp rise in commodity prices have created a threat to the food security around the world. In turn, before the full-scale war, one of the largest shares of Ukraine's export and import partnership agreements was occupied by EU countries. The conducted research using economic and mathematical modeling showed a direct correlation between commodity circulation of Ukraine and the GDP of the country. Thus, main results witness the Ukraine`s necessity to increase the level of exports and increase its trade turnover. The reconstruction of production facilities must be in accordance with European and global production norms, in compliance with environmental and other normative standards, so that Ukrainian products can compete on European and global markets.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.