Discrete Dynamic Modeling of State Regulation of Human Capital

2021 ◽  
Vol 13 (1) ◽  
pp. 144-153
Author(s):  
G. K. Kamenev ◽  
I. G. Kamenev
Keyword(s):  
Human Capital ◽  
Dynamic Modeling ◽  
State Regulation ◽  
Discrete Dynamic

scholarly journals DOMINANTS OF DEVELOPMENT AND REPRODUCTION OF HUMAN CAPITAL AS A STRATEGIC COMPONENT OF CHANGE

2021 ◽  
Vol 7 (2) ◽  
pp. 28-36
Author(s):  
Nadiia Benko
Keyword(s):  
Human Capital ◽  
Labour Market ◽  
Social Relations ◽  
State Regulation ◽  
Practical Significance ◽  
Dissemination And Implementation ◽  
Market Regulation ◽  
Human Capital Development ◽  
Methodological Principles ◽  
Capital Development

The subject of the study is the conceptual, theoretical, methodological and applied provisions of state regulation of development and reproduction of human capital for the national economic system management. Methodology. General scientific methods were used in the research process. The method of comparison was used for generalizing the approaches of different researchers on the main dominants of development and reproduction of human capital. Analysis was used to determine the quantitative and qualitative parameters of the dominants of human capital. Syn-thesis was used to determine the methodological principles of labour market regula-tion and human capital development. Induction and deduction were used for deter-mining approaches to the main dominants of human capital. The aim of the article is to generalize various approaches to the main dominants of development and reproduction of human capital on different bases and purposes, to develop a modern theoretical basis for the development of human capital in the country’s economy. The results of the study have shown that to ensure the effectiveness of state regulation of the development and reproduction of human capital, it is necessary to create an appropriate social environment and conditions that promote the fullest use of knowledge and intellectual, creative potential of individuals. Conclusion. The composition of the bases and goals of the dominants of development and reproduction of human capital in Ukraine, in contrast to the existing one, should include labour market regulation policy, national model of combating unemployment, working capacity, cost of human capital and human development index. This will ensure investment, development and human capital management in Ukraine. Analysis of the methodological principles of labor market regulation and human capital development of the European Union and Ukraine, and problems of human capital development in Ukraine allowed us to conclude that they differ significantly. Their difference is explained by different levels of economic and social situation of countries and other factors, in particular the low speed of dissemination and implementation of progressive results of investment in education and science. The practical significance lies in increasing the scientific substantiation of theoretical provisions and practical measures to ensure the mechanism of state regulation of development and reproduction of human capital is in accordance with transformational changes in social relations and market conditions, processes of globalization.

COMPETITION THEORY: EVOLUTION OF VIEWS AND CONTENT

2019 ◽  
Vol 4 (3) ◽  
pp. 407-414
Author(s):  
Oleksiy Prokopenko
Keyword(s):  
Human Capital ◽  
Organization Theory ◽  
State Regulation ◽  
Economic Behavior ◽  
Competitive Advantages ◽  
Market Environment ◽  
Competition Theory ◽  
Content Development ◽  
Competitive Relations ◽  
Capital Development

The article examines the theoretical content development of competition and the provisions of the competitive relations formation. It is proved that changes in the market environment attract attention to competitive relations in the first place. It is established that research in the field of competition theory has come a long and difficult way. The evolution of different scientists’ views outlines different directions and possibilities of its understanding in terms of areas of adaptation. It is pointed out that the representatives of the classical school of political economy determined competition through macroeconomic models. Understanding of competition through the issue of combination with monopoly was reflected in the crisis. This led to the formation of the competitive relations development with the simultaneous involvement of state regulation. Representatives of the institutional direction outlined the need to attract innovation to ensure development. At the same time, the understanding of competitive relations was completely compared with the formation of the organization theory. It is determined that the competitive relations evolution also involved the development of behavioral economic theory. This was facilitated by the results of changes in market relations, which were adapted to changes in the economic behavior of market participants. The peculiarities of competition formation for subjects of different sizes have been studied. Attention is paid to the development of competitive relations for the conditions of corporations. The relationship between competition and human capital is presented. It is proved that the formation of competitive advantages fully depends on the level of human capital development. It is determined that the representatives of neo-institutionalism focused on the efficiency of the economy in the study of competition. Thus, at this stage, costs have become important. The development of competition theory from different points of view led to the formation of the theory of competitive evolution. Different models of formation of competitive advantages are presented. The necessity of adaptation of market subjects to constant changes of the market environment and to attraction of separate models of the theory of a competition is proved, depending on possibilities of formation of own competitive advantages in the chosen markets. Key words: competition, competitive relations, competitive advantages, competitive models, strategies, efficiency.

DYNAMICS AND STRUCTURE OF INVESTMENTS IN UKRAINE: A “DIVERGENCE TRAP” OF THE TECHNOLOGICAL FUTURE

2021 ◽  
Vol 2021 (8) ◽  
pp. 56-67
Author(s):  
Tamara PANFILOVA ◽  
Keyword(s):  
Human Capital ◽  
Capital Investment ◽  
Institutional Environment ◽  
Technological Development ◽  
Economic Transformation ◽  
State Regulation ◽  
Medium Term ◽  
Investment Activity ◽  
Technology And Innovation ◽  
Future Production

The globalized economy is entering a difficult period of technological transformation in the context of the Fourth Industrial Revolution. Studies of leading international organizations (UNIDO, UNCTAD, WEF) on the conceptual directions of technological change and the readiness of different countries around the world for future changes have shown their significant stratification. The main drivers of future production are: “technology and innovation,” “human capital,” “global trade,” “investment,” “institutional environment” and “financial resources.” Ukraine has been identified as an “immature” country, i.e. one that is not ready for future technological changes and needs increased attention to the transformation of the institutional environment, technology and innovation, access to finance, industrial structure, and so on. The “immaturity” of the Ukrainian economy is due to the crisis of investment activity in 2010-2021, when the share of capital investment in GDP averaged only 15.5%. The structure of foreign and capital investments by type of industrial activity is dominated by investments in low-tech industries. The share of foreign and capital investment in education and health care does not exceed 1–1.5% of the total, which in the medium term may reduce the quality of human capital. Given the outlined trends in the medium term in Ukraine there is a high probability of forming a “divergence trap” of technological development with global trends in the formation of the digital economy and Industry 4.0. In view of this, Ukraine needs to intensify state regulation in the field of investment, develop its own unique strategy for future production and economic transformation. At the same time, a double approach is possible: with the transition of some industries to the latest paradigm of technological growth, and others to the modernization of traditional technologies.

Discrete Dynamic Modeling of Shafts With Transverse Cracks Using Bond Graph

2003 ◽  
Author(s):  
Mohammad Durali ◽  
Hosein Borhan
Keyword(s):  
Dynamic Modeling ◽  
Lateral Displacement ◽  
Dynamic Network ◽  
Bond Graph ◽  
Dynamic Equations ◽  
Transverse Cracks ◽  
Discrete Dynamic ◽  
Modular Model ◽  
Opening And Closing ◽  
And Behavior

Discrete dynamic modeling of rotating Timoshenko shafts deflecting in axial, shear and bending directions is discussed in this article. The method presented here aims for developing an algorithm by which shafts with transverse cracks can easily be modeled and analyzed. To this end, a modular dynamic network is constructed, consisting of a mass, springs and dampers, resembling shaft segments between cracks. The local changes in shaft stiffness as a result of cracks rotating (opening and closing), is entered into the module models as change in springs and dampers properties. The modular model is then repeated to obtain a complete shaft model. Bond Graph method is used in a similar modular manner to extract dynamic equations of shaft motion. The equations have then been solved for shaft lateral displacement and behavior under external loadings. The method presented here enables the users to develop a model of the shaft to simulate the behavior of shafts having cracks, with today’s computational software.

scholarly journals Discrete Dynamic Modeling and Change Trend Analysis of Regional Economy Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yang Chen ◽  
Yu Yu
Keyword(s):  
Big Data ◽  
Dynamic Modeling ◽  
Regional Economy ◽  
Experimental Testing ◽  
Modeling Method ◽  
Bayesian Regression ◽  
Government Support ◽  
Regional Economic ◽  
Discrete Dynamic ◽  
Modeling Technology

The driving force of high-quality development of regional economy is inseparable from the support of technology. With the support of big data, we need to solve this problem in order to solve the difficulty of large-scale experimental testing and accurately reflect the feasibility growth of data sample changes. This paper proposes a discrete dynamic modeling technology based on big data background to analyze the development and change of regional economy. The reliability AMSAA model is usually used for dynamic discrete modeling. It can be combined with the change data provided by big data to form a dynamic modeling method for reliability growth evaluation. Then, the Bayesian regression method is used to predict the change parameters of the model, and the spatial econometric method is used to analyze the regional economic change. The results show that compared with the traditional methods, the discrete dynamic modeling method is more accurate and can effectively solve the problem of reliable growth under the condition of big data. After introducing the spatial effect measurement model, it can also reflect the main factors of the growth and change of regional economic real output value. In addition to the development of high and new technology, terrain factors, investment, and government support have also had different effects. Therefore, according to the above results, it is proved that the discrete dynamic modeling technology can accurately obtain the experimental data and provide reliable technical support for dynamic data processing.

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