Statistical Data Analysis of Socio-Economic and Demographic Losses of Labor Resources in Ukraine

Zayukov, Ivan; Overchuk, Viktoriya; Бурдяк, Віра; Velykyi, Yurii; Butyrska, Iryna; Бутенко, Віра

doi:10.14254/1800-5845/2020.16-2.14

Cited by 3 publications

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“…Investigations in labor resources analysis are quite relevant, both among Ukrainian economists and international experts in this field. In The research in this area was related to the study of macroeconomic transformations of the economy's branch structure in the context of dynamic changes of Ukrainian labor resources indicators (Zayukov et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Influence of Structural Age Shifts of Population on Sectoral Structure of Employment

Vodianka

Antokhov

Podluzhna

et al. 2021

EEA

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This article examines the correlation between the increase in age groups of population and branch structure of employment in the Ukrainian economy. Today, the study of human capital's impact on economic processes is an essential economic science component. The application of quantitative methods in this relationship's study provides essential information about the nature of the interconnection of individual characteristics of human capital and critical socio-economic processes in the current domestic economic reality. Applying correlation-regression analysis, modelling these interdependencies with multiple regression models, and estimating correlation and deterministic relationships, in particular, are essential means in the practical study of this macroeconomic resource impact. Economic and mathematical analysis of the interdependencies between employment in agricultural, industrial, and financial sectors and the growth of the Ukrainian population's age groups were carried out. Based on these data, conclusions were drawn about critical macroeconomic processes, which are quantitatively confirmed by the built models. The role of the age structure of the population in structural transformations of the Ukrainian economy was evaluated.

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Section: Literature Reviewmentioning

confidence: 99%

Influence of Structural Age Shifts of Population on Sectoral Structure of Employment

Vodianka

Antokhov

Podluzhna

et al. 2021

EEA

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“…In the Russian Federation, the annually account for more than 1.0% of gross domestic product (GDP). This problem requires the creation of effective mechanisms for preventing cancer and reducing economic losses from it (Zayukov et al, 2020).…”

Section: Analysis Of the Russian Experience In Developing Public-private Partnerships In Healthcarementioning

confidence: 99%

Effective Public-Private Partnership In Regional Healthcare

Krivenko¹

2021

European Proceedings of Social and Behavioural Sciences

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“…S. Kozlovsky [8] and coauthors determine the feasibility of developing an indicative plan for developing the region and as a tool for using targeted planning. I. Zaykov et al [9] studied the impact of demographic processes on the national economy of sustainable development using statistical analysis, which used the main national and regional indicators of sustainable development. The issues of sustainability analysis are becoming especially relevant now.…”

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confidence: 99%

Improvement of the System of Indicators for Measuring the Ecological Component of Sustainable Development of Regions

et al. 2021

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Abstract. Over the last decade «indicator thinking» has become more widespread. The need to have a tool to assess the processes taking place, give them a retrospective analysis and try to predict their future require the formation of appropriate indicators and quantitative indicators. These trends are evident in the concept of sustainable development. This concept is based on the development of sustainable measures: understanding the relationship between the economy, society and the environment; supporting the equitable allocation of resources and preserving opportunities for this generation and all future ones. The article reflects a research initiative focused on data processing to improve the system of indicators for measuring the ecological component of sustainable development of regions. In order to characterize, classify and predict the conditions that may lead to sustainable regional development, the Poltava region was used as a studied area. For the developing of the methods and processing of data, the existing legal framework and national studies were taken into account, thus setting the parameters for the key indicators that are necessary for the assessing the ecological component levels of sustainable development. The calculation of the integrated indicator of the ecological component of sustainable development of Poltava region and Ukraine was carried out in the work based on the statistical methods and a number of data obtained for the period 2010—2020. This makes it possible to make management decisions at the regional level, which in turn will analyze the reasons for their deviation from the relevant indicators in the country as a whole. The proposed system of indicators of sustainable development has the advantage that the indicators included in it show the impact of anthropogenic pressure not only on the ecosystem, but also the impact on economic activity through the degradation of natural resources. This system also allows to assess the level of territorial disproportion, to identify the sources of the most negative temporal-territorial environmental impacts, to assess the effectiveness of management decisions implemented in the region. Keywords: sustainable development, region, indicators, integrated sustainability indicator, methodology, evaluation JEL Classification O13, Q56, R11 Formulas: 0; fig.: 1; tabl.: 2; bibl.: 21.

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Statistical Data Analysis of Socio-Economic and Demographic Losses of Labor Resources in Ukraine

Cited by 3 publications

References 0 publications

Influence of Structural Age Shifts of Population on Sectoral Structure of Employment

Influence of Structural Age Shifts of Population on Sectoral Structure of Employment

Effective Public-Private Partnership In Regional Healthcare

Improvement of the System of Indicators for Measuring the Ecological Component of Sustainable Development of Regions

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