bluuebunny/crossref_metadata_2025_split huggingface dataset:
Applications of the Method of Statistical Equations of Dependences for Assessment of Correlation between Economic Phenomena when Justifying Management Decisions
Authors: Kulynych R. О. 
Published: October 2018

Studies devoted to economic activities of business enterprises are aimed at finding correlations between various factors and indexes of effectiveness, outlining tendencies, developing economic standards and forecasting. The sustained socio-economic development in Ukraine can be ensured by creating stable market relations through attracting and effective use of foreign investment, deeper integration of industry and science & technology sector, expanding foreign economic activities and more effective utilization of the resource capacities at regional level. This raises the importance of statistical analysis allowing for quantitative and qualitative assessment of the phenomena and processes underlying socio-economic trends in regions, for ranking of the country’s regions and ranking of countries in international comparisons. As a consequence, statistical support becomes increasingly import ant for justifying and making of management decisions on socio-economic development .
A statistical approach to justification of management decisions, including socio-economic programs, is developed by use of the method of statistical equations of dependences.
Key theses of the method of statistical equations of dependences, developed by Professor O. Kulynych, are set out. This method is extensively used in Ukraine and beyond. It enables for quantitative assessment of correlations and tendencies of phenomena and processes in nature and social life. The main tasks dealt with by the method of statistical equations of dependences are solving direct and inverse problems; finding the intensity of the factors’ impact on the dependent variable; constructing graphs of multiple correlations and finding the weight of a selected factor; analysis of functional dependences and correlations; analytical computations on the basis of numerous and not numerous sets of input data.
The main equations of the method that can be solved by software are linear, parabolic, hyperbolic and logical functions, of which a researcher can select the appropriate ones to study a process on the basis of the available parameters and criteria with use of comparison ratios.
Financial Potential of an Enterprise and its Significance in the Economically Unstable Environment
Authors: Kulish Н. Р. , Chepka V. V. 
Published: October 2018

Practical aspects of the study of financial potential, its relationship with economic potential of an enterprise, the impact of financial potential of the economic performance and strategic goals of an enterprise are highlighted. It is demonstrated that financial potential takes on the role of lever building the mechanism for transforming resource and production potentials into the financial results of an enterprise. In the current economic conditions characterized by the development of market economy, int ensification of globalization and competition, domestic enterprises need to operate more effectively and to focus their activities not only on meeting the current needs in form of profit, but also on planning future performance and building the financial potential. In this context, study of the essential features of financial potential of an enterprise and its relationship with production, innovation, investment, marketing and organizational management potentials has been of special importance.
The study shows that financial potential enables for transforming resource, production, innovation, investment, marketing, organizational and managerial potentials into financial performance results, and is used to achieve strategic and tactical goals of an enterprise. The essential features of financial potential are outlined:

financial potential is a broader concept than financial resources of an enterprise;
financial potential is a factor for financial capacity of an enterprise and their implementation in certain circumstances;
financial potential is a factor for financial stability and competitiveness of an enterprise;
financial potential is a factor for positive financial result;
the scopes of financial potential determine the development trend of an enterprise.

Diagnostics of financial potential involves regular financial analysis to determine financial security. Key data on the financial performance of an enterprise need to be used in evaluating the achieved goals and problem solutions in the current period and in the future, in taking balanced management decisions with due account for the provision of investment and reserve finances
Statistical Assessment of the Capital Dynamics of Industry in Ukraine: Inter-regional Comparison
Authors: Sozanskyy L. Yo. 
Published: October 2018

Rational formation of production facilities in the industrial sector constitutes a priority competitive advantage and factor for its competitiveness. The article’s objective is statistical assessment of technological activity in the industrial sector of Ukrainian regions, to highlight patterns of formation and dynamics of fixed assets.
The indicator with critical impact on the dynamics of capital in Ukraine over the period under study is “growth rate of non-current assets”.
Of the Ukrainian regions in 2015, the high dynamics of capital in the industry was recorded only in Myko- laiv region. The regions with the medium dynamics of capital can be divided into three subgroups. The first subgroup covers the regions with high shares of non-current assets in the total industrial assets and high growth rate of non-current asset s. The second subgroup includes the regions with medium or high shares of non-current assets in the total industrial assets but low growth rates of non-current assets. The third group includes the regions with high shares of non-current assets in the total industrial assets in parallel with negative growth rates of non-current assets. The regions with the low technological activity can be broken into two subgroups: the first one covers regions with medium shares of non-current assets in the total industrial assets and low growth rates of non-current assets; the second one covers regions with medium shares of non-current assets in the total industrial assets and negative growth rates of non-current assets.
The results demonstrate recovering of dynamics of capital in the industry in Southern regions of Ukraine (Mykolaiv and Odesa regions), and in part of the Western regions (Volyn, Transcarpaty, and Chernivtsi regions), in Vinnytsia region, along with its essential decline in Dnipropetrovsk region and three Western regions (Ivano-Frankivsk, Rivne, and Ternopil regions).
Determination of Indicators of the Gender Groups Distribution by Characteristic Features
Authors: Akbash K. S. , Pasichnyk N.O. , Ryzhniak Ya. 
Published: October 2018

The article defines the structure of the data on the gender structure of the group of scientific and educational workers of the Faculty, and certain specific groups among teachers who were subjects of the educational process at the end of 2015-2016 school years based on statistical and qualitative factors of determination of the gender proportions. There was chosen a way to determine the structure of selected data correlation and statistical cluster obtained because of factors of determination of the gender proportion of certain specific groups of scientific and educational workers - the members of the educational process of the faculty of Physics and Mathematics of the Kirovohrad Volodymyr Vynnychenko State Pedagogical University. The article defines that this coefficient determines the measure of the ratio of distribution of characteristic features (dominant) in gender groups.
The achieving the goal of the study was conducted by solving of local problems: the gathering of statistical data and primary analysis; determination of factors of gender proportion in the contingent of teaching staff of the Faculty and their individual specific groups; event correlation and cluster analysis and the consequent determination of the structure of data on the gender composition of the faculty and its specific groups.
The authors conclude on the effect of choosing different characteristic features (dominant) to define data structures of gender composition of teaching staff of the faculty Study of the data structure of gender composition of certain distinctive groups of scientific and pedagogical workers (by characteristic features (dominants): professors, associate professors, lecturers, PhDs, Doctors of sciences, people without scientific titles at the age from 20 to 35, from 35 to 60 and over 60years old), based on the statistical determination of the coefficients of gender specific weight gave grounds to conclude that the distribution of characteristic features (dominants) in gender subgroups of different groups of departments is similar. Flowever, in the course of the study it became clear that the results of the analysis of the data structure concerning gender composition of groups of scientific and pedagogical workers, who possessed characteristic features (dominants), depending on their age, were not affected by the final uniting distribution by clusters. In addition, the article concludes that the use of analogue coefficient of gender proportion in statistical research will make it possible to determine the structure of data in a given group (aggregate) subject to allocation ratio combining characteristic features (dominant) in certain subgroups (sample).
Statistical Modeling of Institutional Transformations Using Panel Data
Authors: Zhurauliou О. V. 
Published: October 2018

The article is devoted to the important problem of assessment of institutional transformation by modeling of panel data. It is demonstrated that multidimensional statistical methods allow for the reasonable selection of the probabilistic statistical model that fits best to output statistical data and description of the real behavior of the studied set of objects than the great many other similar models, and for the assessment of reliability and accuracy of conclusions made on the basis of limited statistical information. The proposed theoretical model reveals the statistical impact of social globalization, openness of trade, property rights, human development and share of services in GDP on economic growth in countries differentiated by economic performance.
Of the institutional factors with an impact on economic growth, found by the study, statistically significant are both traditional factors (index of property right, GDP by PPP) and ones implicit in the globalizing economy (Internet users, index of social globalization, share of services in GDP). It allows for the conclusion that economic growth in countries differentiated by economic performance is conditional on institutes. Property rights still remain to be the key factor for effective institutes, and their impact determines the future development trajectory. The significant role belongs to openness of trade, with its positive statistical impact on economic growth. The positive statistical impact of social globalization is also identified.
Statistical significance of the growing share of services in GDP is demonstrated, which is an attribute of globalization. Special emphasis in statistical modeling is made on the human factor measured by human development index. This index has supreme significance in the complex process of transition from extractive institutes to inclusive ones, because the effectiveness of transformation process depends on the human.
Statistical Assessment of the Impact of Structural Factors on Economic Activities of Agricultural Enterprises
Authors: Kobylynska Т. V. 
Published: October 2018

Agricultural enterprises have a critical role in the agrarian market of Ukraine, as they account for nearly 60% of the plant-growing output. Studies of the dynamics and structure of production processes at agricultural enterprises are obviously important and expedient due to the need for operative and sound data on their economic performance, required by a wide range of users. Besides that, whatever is produced in the market environment needs to be demanded by the market and be sold with profit, with due consideration for the requirements on rational land use, to maintain the fertility of lands and prevent from their destruction.
The objective of the study is to conduct statistical analysis of the structure and structural change of the agricultural output produced by agricultural enterprises in Ukraine. Negative and positive tendencies in the structural change of operation at agricultural enterprises by organizational and legal form of proprietorship are analyzed. The indicator of production output in constant prices is used to characterize the dynamics of the total output. It is stressed that it is a key performance indicator in agricultural sector, used for both agricultural enterprises and households. The agricultural output is computed by valuating all the categories of products irrespective of the production location and conditions, by the same price This algorithm avoids the impact of variations in regional prices for categories of agricultural products and enables for comparative analysis at national and regional level by main agricultural activity (plant-growing, animal husbandry) and category of agricultural producers. The structure and structural change in the agricultural output by product category and form of proprietorship is analyzed, ft is shown that while in 2012-2013 agricultural enterprises accounted for average 52.4% of the gross agricultural output, in 2014-2016 their average contribution in the output grew by 3.4 percentage points and reached 55.8%.
Analysis of the Performance of Electronic Commerce in Ukraine
Authors: Kozlov V. V. , Tomashevska T. V. 
Published: October 2018

The current phase in the development of economic relations is characterized by the high level of informatization. The rapid science & technology advancement in information and communication technologies pushes up the development of consumption, industry and trade, and lays the background for new forms of economic relations. Electronic commerce is an advanced area of business. Taking advantages from electronic trade, organizations can: considerably reduce financial and time resources, enhance competitiveness, enter new markets, obtain supplementary information on consumer needs, and rapidly respond on the changing demand. Many companies take advantage from electronic commerce and set up pre-sales and after-sales services.
Today, the Ukrainian market of electronic commerce is undergoing rapid expansion. The objective of the study is to analyze the expansion dynamics of electronic commerce by Ukrainian region and find the latest tendencies in this industry. The analysis is made by statistical data on Internet use in Ukraine. The overall performance of electronic commerce in Ukraine lags far behind the analogous figures of Western countries. Negative effects of the economic crisis, lack of high performing telecommunication networks in a number of Ukrainian regions, and limited use of advanced electronic payment systems hampered the development of the electronic market in Ukraine, and still hamper it in some way. Yet, due to ICT solutions, the environment for electronic commerce, in which the increasing demand pushes up the supply, have recently been improved.
The method for studying the electronic commerce performance by Ukrainian region by use of the dynamic personified matrix is proposed. On its basis the ranking of Ukrainian regions is built, the regions with the highest performance in electronic commerce are identified, performance trends are analyzed. It is found that the electronic commerce market is concentrated mainly in large cities that are regional centers. The reason behind is that provider firms and firms rendering hosting services are concentrated in large cities, whereas small towns and villages have no access to high quality connection. Therefore, the development of advanced telecommunications market is supposed to contribute to the expansion of the electronic commerce market, enabling to take full advantage from the Ukrainian potential in electronic trade and enhance the competitiveness of Ukrainian business.
Financial and Statistical Analysis of Investment Projects High-Tech Scientific Developments Based on Carbon Nanomaterials
Authors: Motsnyi F. V. , Sinytskyi M. E. 
Published: October 2018

Carbon nanomaterials (graphene, nanotubes, fullerenes, the family of derivatives from C ) belong to the miraculous materials of 21 century, which can radically change technologies in the coming years. Thus, unique supercapacitors with the capacity of 10.000 F have been proposed on their basis, which is 12.5 thousand higher than the capacity of the Earth. Immense funds have been invested globally in research of carbon nanomaterials and development of devices on their basis. Utilization of scientific advancements in the domestic industry will promote economic growth, innovation society building and market recovery in Ukraine.
This article is the first to pose the question about selection of advanced developments projects on the basis of carbon nanomaterials using Monte Carlo method. Investment projects for high tech scientific developments (nanotubes, nanobatteries, supercapacitors, nanoaccumulators) are analyzed. Approaches to account for the risks of investment projects in the conditions of non-established stock market in Ukraine are shown. Use of Monte Carlo method as the most preferred approach to evaluating the impact of risks on decision-making in the conditions of uncertainty is substantiated. Current market prices on respective products are used as the input database. The Net Present Value (NPV) and the probability of its negative numbers are computed. The point of the project reliability at which the probability of negative NPV numbers approximates zero is found. It is shown that this point can be used as the benchmark, because the relative distance to it is the criterion for selection of the most acceptable version of project implementation. The projects with minimal expected risks of implementation are selected.
Statistical Reporting in Vocational Education: Review and Ways of Improving
Authors: Lesnikova М. V. 
Published: October 2018

Labor potential for the Ukrainian economy cannot be formed without professional training of staff. The system for professional technical education (PTE) consists of professional technical institutions in an industry, other enterprises, institutions, organizations, and education or supervisory offices charged with the administration of the former. The studies demonstrate that the existing PTE network in Ukraine is ineffective and distanced from the needs of regional economies in terms of their demography problems and needs of their labor markets. The abovementioned raises the importance of the issues of access to high quality and complete statistical information, incorporating a wide range of statistical indicators, first and foremost the ones on labor market performance, enabling for effective decision-making. The author’s review of the respective statistical reports shows that the existing statistical indicators form three linked modules (labor market, formation of PTE system, national accounts of education), containing quantitative data on network, enrolment, teaching personnel, material-technical and methodological provision of professional technical education institutions, PTE financing.
Sufficiency of the existing statistical information is assessed by use of multi-step typology by the technology based on the statistics of non-numeric data. The data obtained from users and makers of PTE system in time of Turin process in 2016 show that the existing statistical reports fails to meet information needs of labor markets in high quality statistical data. According to the respondents, the main barrier is unstable economic situation; more than one quarter of the respondents (27%) mention irrelevance of the body supervising the collection of statistical data, and lack of advanced methodologies and methods for recording of jobs. A pressing problem is related with overlooking the scopes of shadow jobs and reluctance of a major part of employers to inform the development plans of their enterprises.
Measures to improve the existing statistical reporting on PTE are as follows:

introduce the questionnaire-based interviews of employers, to calculate the number of graduates kept on jobs, by specialty;
considering large number of small enterprises and private enterprises, improve the existing method for collection and processing of bid data;
construct a standard method for calculating the rate of graduates’ job placement using the shadow economy ratio;
create an integrated information and analytical system for PTE;
calculate the rate of apprenticeship passed, by specialty, ours of apprenticeship, and location of apprenticeship;
introduce the monitoring-based assessment of PTE quality;
develop the method for balancing the scopes of professional technical staff trained in education institutions and labor market needs.
Losses Caused by Suicide Mortality in Ukraine
Authors: Ryngach N. О. 
Published: October 2018

The purpose of this paper is to make an assessment of the Years of Potential Life Lost due to premature suicide mortality in Ukraine, with the conversion of the lost years into material equivalent. Based on the State Statistics Service of Ukraine data on the distribution of deaths by gender, age and causes of death and using macroeconomic indicators the author employs the method of potential demography to calculate the absolute number of Years of Potential Life Lost due to the premature death of this particular cause. It is demonstrated that prevention of deaths resulting from suicides has been recognized by now as a priority objective in the global agenda of health protection. This problem is of urgent importance for Ukraine, because the death rate from suicides here, being higher than in developed countries, is becoming an essential barrier on the way to sustained development by all its three components: economic, social and ecological.
The absolute number of the Years of Potential Life Lost due to premature suicide mortality is computed by the data from the State Statistics Service of Ukraine on break down of the dead by gender, age and reason of death, using the method of potential demography. It is shown that the number of the Years of Potential Life Lost of the Ukrainian population due to the above reason reached 133 296 thousand man-years in 2015. The essential disproportion of losses by gender is found: the total number of lost years of the expected life for men is more than fivefold higher than for women. The largest difference by gender is observed in the age group of 25-29, when the death rate from a suicide for men is more than nine fold higher than for women. Some of the computed indicators are compared with the respective figures of death rate from transport accidents. The monetary equivalent of GDP not generated due to the premature deaths of the Ukrainian population, resulting from a suicide, is computed for 2015: 6.16 billion UAH or more than 280 million USD.
It is demonstrated that the death rate resulting from a suicide makes a heavy threat for health and welfare in Ukraine and an impediment for the achievement of Sustained Development Goals. Recommendations on minimization of real and potential losses caused by suicides are grounded. Of the measures aiming to reduce such losses, adaptation of the Antiterrorist Operation participants and forced migrants from the warfare zone to peaceful life, and the reaction on the manifestations of “Donbas syndrome” as a whole are emphasized. It is stressed that the state needs to be assigned the central role in the national strategy on prevention of suicides, because the contribution of the state is a determinant for the development and reinforcement of epidemiological surveillance, collection and dissemination of the data required for justifying the program activities, organization of cross-sectoral cooperation and interactions of all whom it concerns, etc.