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Journal articles on the topic 'ECONOMIC DYNAMICS MODEL'

Author: Grafiati

Published: 24 June 2021

Last updated: 29 July 2025

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1

Yang, Yingrui. "Principles of Economic Externality Dynamics Economic Dynamics and the Standard Model (V)." Journal of Electrical Electronics Engineering 3, no. 4 (2024): 01–13. http://dx.doi.org/10.33140/jeee.03.04.06.

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The present paper discusses the importance of economic externality and the economic phenomena involved. Section 1 draws on the framework of weak force theory in physics, we propose a new approach of dynamic analysis for economic externality. From a mesoscopic (intermediate scale) perspective, no distinction is made between the macro-demand and individual micro-buyers nor between the macro-supply and individual micro-sellers. Section 2 applies the isospin modeling method to construct two economic isospin models. One is between the achieving impulse and the fear-of-failure impulse, under the eff

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2

Mbarga, Guy-Bertrand Ovambe. "The Psycho-Economic Model of Love Dynamics." Psychology & Psychological Research International Journal 7, no. 4 (2022): 1–6. http://dx.doi.org/10.23880/pprij-16000317.

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The psycho-economic model of love dynamics comes from the economic point of view of metapsychology. This model postulates that each individual is endowed with a quasi-stable libidinal energy, in motion in his or her love relationships. Its main phases are: investment, self-disinvestment; overinvestment; loss of drive object; divestment; the disinvestment of the instinctual object; self-investment and reinvestment. It has several implications in individual, marital and family affective life. This model is mainly used here in the context of romantic disappointments, in particular prevention and

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3

Bosi, Stefano, and David Desmarchelier. "An economic model of metapopulation dynamics." Ecological Modelling 387 (November 2018): 196–204. http://dx.doi.org/10.1016/j.ecolmodel.2018.09.013.

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4

Milić Beran, Ivona. "SYSTEM-DYNAMIC MODELING OF THE IMPACT OF SOCIAL CAPITAL ON ECONOMIC GROWTH." DIEM: Dubrovnik International Economic Meeting 6, no. 1 (2021): 25–32. http://dx.doi.org/10.17818/diem/2021/1.3.

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This paper presents a qualitative and quantitative system-dynamic modeling of the impact of social capital on economic growth. Social capital is the most problematic of all the concepts that determine progress. On a broad conceptual level, there is agreement about the importance of social capital, which has been used to explain differences in progress among nations with similar natural, human and physical capital. Recent research suggests that it is more important to include an explanation of the interaction of economic actors and their organization when measuring progress than to measure prog

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Yoshikawa, M., N. Toshida, H. Kawamura, Y. Harada, M. Tsurugai, and Y. Nakata. "Boiler-Dynamics-Model-Based Economic Load Dispatch." IFAC Proceedings Volumes 29, no. 1 (1996): 6951–56. http://dx.doi.org/10.1016/s1474-6670(17)58800-x.

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6

Stepanenko, O., Yu Maistrenko, and S. Yousefi. "Complicated dynamics of an interacting economic model." Nonlinear Oscillations 7, no. 2 (2004): 254–61. http://dx.doi.org/10.1007/s11072-005-0010-1.

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7

Zhang, Guangyuan, James McCalley, and Qin Wang. "An AGC Dynamics-Constrained Economic Dispatch Model." IEEE Transactions on Power Systems 34, no. 5 (2019): 3931–40. http://dx.doi.org/10.1109/tpwrs.2019.2908988.

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Moza, Gheorghe, Oana Brandibur, and Ariana Găină. "Dynamics of a Four-Dimensional Economic Model." Mathematics 11, no. 4 (2023): 797. http://dx.doi.org/10.3390/math11040797.

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The interdependency between interest rates, investment demands and inflation rates in a given economy has a continuous dynamics. We propose a four-dimensional model which describes these interactions by imposing a control law on the interest rate. By a qualitative analysis based on tools from dynamical systems theory, we obtain in the new model that the three economic indicators can be stabilized to three equilibrium states.

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Makhov, Sergei Anatolievich. "Multi-regional model of global dynamics." Keldysh Institute Preprints, no. 102 (2021): 1–30. http://dx.doi.org/10.20948/prepr-2021-102.

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A dynamic macro model of world dynamics has been developed. In the model, the world is divided into 19 regions. The internal development of the regions is described by differential type equations for demographic and economic indicators. Interregional interactions represent the trade flows from region to region and are described by the trade submodel. Calculations show that the model satisfactorily approximates the dynamics of monotonic indicators. The forecast of regional development and global dynamics up to 2040 is constructed.

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10

Hryhorkiv, Mariia, Olena Vinnychuk, Liubov Makhanets, and Olena Yaroshenko. "MODEL OF ECOLOGICAL AND ECONOMIC DYNAMICS WITH LINEAR FUNCTIONS OF ECONOMIC BEHAVIOR." BULLETIN OF CHERNIVTSI INSTITUTE OF TRADE AND ECONOMICS II, no. 82 (2021): 79–89. http://dx.doi.org/10.34025/2310-8185-2021-2.82.06.

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There has been analyzed a decisive role of negative impact of human factors on the processes of nature management and environmental pollution by the remnants of ECONOMIC-MATHEMATICAL MODELING Issue II (82), 2021 81 production activities, which in case of neglect lead to environmental crises, climate change and significant deterioration of the quality of human life. The urgency of the problem of economy ecologization, the mechanisms of ecologization associated with the introduction of technologies that are waste-free or most closely approximate to them, with the development of environmental edu

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Zadoia, Oleksandr A., and Bogdan O. Goncharuk. "USE OF BUDGET REGULATION MECHANISMS OF THE NATIONAL ECONOMY IN THE SOCIO-ECONOMIC MODEL OF UKRAINE." Vital cycle of the organizational culture of the trading enterprises 1, no. 14 (2021): 25–34. http://dx.doi.org/10.32342/2616-3853-2021-1-14-5.

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The article is devoted to the review and analysis of the possibilities of using budgetary regulatory mechanisms in Ukraine. Based on previous research, a hypothesis was put forward about the characteristics of budget regulation depending on the socio-economic model of the country, namely the ratio of three vectors of influence: state, social and market. In order to determine the inherent features of the model of Ukraine, an analysis of the dynamics of the main structural items of revenue and expenditure of Ukraine, assessed the effectiveness of such changes in the domestic economy and their im

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12

Gleria, Iram, Sergio DaSilva, Leon Brenig, Tarcísio M. Rocha Filho, and Annibal Figueiredo. "Modified Verhulst–Solow model for long-term population and economic growth." Journal of Statistical Mechanics: Theory and Experiment 2024, no. 2 (2024): 023406. http://dx.doi.org/10.1088/1742-5468/ad267a.

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Abstract In this study, we analyze the relationship between human population growth and economic dynamics. To do so, we present a modified version of the Verhulst model and the Solow model, which together simulate population dynamics and the role of economic variables. The model incorporates support and foraging functions, which participate in the dynamic relationship between population growth and the creation and destruction of carrying capacity. The validity of the model is demonstrated using empirical data.

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13

McDonald, Nicola J., and Garry W. McDonald. "Towards a Dynamic Equilibrium-Seeking Model of a Closed Economy." Systems 8, no. 4 (2020): 42. http://dx.doi.org/10.3390/systems8040042.

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Economics has long been concerned with the development of tools to help understand and describe the interactions among economic actors including the circular flow of economic resources. This paper expands our available toolkit of models, by describing a novel dynamic equilibrium-seeking model of a closed economy. The model retains many of the key features of state-of-the-art Computable General Equilibrium (CGE) models including economic interdependence, input substitution, nested production functions, and so on. A distinguishing feature of this model is that it adopts price-related balancing f

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14

Bertotti, M. L., A. K. Chattopadhyay, and G. Modanese. "Uncertainty dynamics in a model of economic inequality." International Journal of Design & Nature and Ecodynamics 13, no. 1 (2018): 16–22. http://dx.doi.org/10.2495/dne-v13-n1-16-22.

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15

Musin, Artur R. "Economic-mathematical model for predicting financial market dynamics." Statistics and Economics 15, no. 4 (2018): 61–69. http://dx.doi.org/10.21686/2500-3925-2018-4-61-69.

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Study purpose.Existing approaches to forecasting dynamics of financial markets, as a rule, reduce to econometric calculations or technical analysis techniques, which in turn is a consequence of preferences among specialists, engaged in theoretical research and professional market participants, respectively. The main study purpose is developing a predictive economic-mathematical model that allows combining both approaches. In other words, this model should be estimated using traditional methods of econometrics and, at the same time, take into account the impact on the pricing process of the eff

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16

Liu, Wei, and Yaolin Jiang. "Modeling and dynamics of an ecological-economic model." International Journal of Biomathematics 12, no. 03 (2019): 1950030. http://dx.doi.org/10.1142/s179352451950030x.

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In this paper, an eco-economic model with harvesting on biological population is established, which takes the form of a differential-algebra system. The impact of the economic profit from harvesting upon the dynamics of the model is studied. By using a suitable parameterization for the differential-algebra system, we derive an equivalent parameterized system which gives the stability results for the positive equilibrium point of our model. Moreover, based on the parameterized system as well as the approaches of normal form and formal series, the conditions on the Hopf bifurcation and the stabi

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17

Sánchez, J. R., J. González-Estévez, R. López-Ruiz, and M. G. Cosenza. "A model of coupled maps for economic dynamics." European Physical Journal Special Topics 143, no. 1 (2007): 241–43. http://dx.doi.org/10.1140/epjst/e2007-00094-x.

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18

Abbosjon, Saydullaev, and Sultonov Beknazar. "Investment Dynamics of the Samarkand Region: Analysis and Forecast Using a Polynomial Model." American Journal Of Social Sciences And Humanity Research 5, no. 2 (2025): 11–20. https://doi.org/10.37547/ajsshr/volume05issue02-03.

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The economic development of any region relies heavily on investment since it affects growth along with employment and infrastructure development. The research examines the investment trends in Samarkand region and generates predictions through polynomial modeling. We build a polynomial regression model based on historical investment data to detect investment trends and estimate future investment directions. The investigation determines model precision through comparison against different forecasting methods and examination of primary economic elements that influence investment. The results pre

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19

Blake, Adam. "The Dynamics of Tourism's Economic Impact." Tourism Economics 15, no. 3 (2009): 615–28. http://dx.doi.org/10.5367/000000009789036576.

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When considering the economic impact of tourism, it is common to model tourism expenditures in a static model, providing the impact that tourism spending would have if its effects were contained in a single year. This confuses two features; first, that any change in tourism spending has a time dimension and, second, it ignores changes that may occur in years after the change in spending has taken place, or that occur prior to it if the spending is anticipated. This paper uses a dynamic CGE model to examine these effects, providing comparisons between anticipated and unanticipated tourism booms

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20

Szydłowski, Marek. "Time-to-build in dynamics of economic models I: Kalecki's model." Chaos, Solitons & Fractals 14, no. 5 (2002): 697–703. http://dx.doi.org/10.1016/s0960-0779(02)00014-0.

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21

Artyushkin, V. F., V. I. Tokareva, and M. M. Zvyagintsev. "Crime Dynamics in Russia - Model Analysis." Journal of Law and Administration 20, no. 1 (2024): 188–98. http://dx.doi.org/10.24833/2073-8420-2024-1-70-188-198.

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Introduction. The article proposes a mathematical model of the dynamics of one of the indicators of crime ― the number of persons who have committed crimes. The indicator is aggregated, so it is considered as a generalized characteristic of the behavior of crime in general. The analysis of the dynamics of the indicator in the context of the political, economic and legal situation in the country and the world is carried out.Materials and methods. As a statistical base for the crime indicator, data from the statistical yearbook "Russia in figures" has been used. For global oil demand, data from

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22

Kumar, Nand Kishor. "Dynamic Economic Analysis from Difference Equation." International Journal of Humanities, Education, and Social Sciences 3, no. 1 (2025): 349–65. https://doi.org/10.58578/ijhess.v3i1.5012.

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Dynamic economic analysis often involves understanding how economic variables evolve over time. One approach to modeling these dynamics is through the application of difference equations. Difference equations provide a framework for describing the evolution of economic variables in discrete time periods, making them particularly useful for analyzing time series data and economic processes that unfold in steps. In dynamic economic analysis, difference equations are an effective tool for modeling and comprehending how economic variables change with time. These difference equations are used by to

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23

Hassnain, Javed, Ostic Dragana, and Fazal Firdousi Saba. "Indo-Turk: Economic And Energy Dynamics." International Journal of Management Sciences and Business Research 7, no. 5 (2018): 52–62. https://doi.org/10.5281/zenodo.3484196.

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as soil transforms its own language into the culture, heritage, mythology, epistemology, and anthropology in a similar way, economics reflects structure and trends to shape society by interconnecting and socializing. Since the evolution of the human world, there is a tug of war between scare natural resources and societal need. But, unfortunately, conventional theories of economic growth had laid less emphasis to counter this dilemma in the context of energy as a natural resource in economic development. Despite its utmost need in both developed and developing the world. This article will rein

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24

Kudyk, Tetiana, Valentyna Lisovska, and Inna Sviderska. "MODELING BY SOME SYSTEMS OF DIFFERENTIAL EQUATIONS." Scientific Notes of Ostroh Academy National University, "Economics" Series 1, no. 37(65) (2025): 82–87. https://doi.org/10.25264/2311-5149-2025-37(65)-82-87.

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This article examines macro models that evolve over time, along with the mathematical models that describe them. These are dynamic models, wherein all variables generally depend on time, which acts as an independent variable. Dynamic models can be categorized into continuous and discrete time models, reflecting the nature of the system’s dynamics. In discrete dynamic models, systems of difference equations or individual difference equations are employed. Conversely, continuous dynamic models utilize differential equations, particularly systems of differential equations. In certain scenarios, s

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25

Antoci, Angelo, Simone Borghesi, and Paolo Russu. "Interaction between economic and ecological dynamics in an optimal economic growth model." Nonlinear Analysis: Theory, Methods & Applications 63, no. 5-7 (2005): e389-e398. http://dx.doi.org/10.1016/j.na.2005.02.097.

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26

Freire, Clovis. "Economic diversification: A model of structural economic dynamics and endogenous technological change." Structural Change and Economic Dynamics 49 (June 2019): 13–28. http://dx.doi.org/10.1016/j.strueco.2019.03.005.

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27

Wang, Jianguo, Tongsan Wang, Yuna Shi, Diwei Xu, Yutian Chen, and Jie Wu. "Metaverse, SED Model, and New Theory of Value." Complexity 2022 (May 9, 2022): 1–26. http://dx.doi.org/10.1155/2022/4771516.

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The metaverse concept constructs a virtual world parallel to the real world. The social economic dynamics (SED) model establishes a systematic model for social economic dynamics simulation that integrates macroeconomy and microeconomy based on modeling mechanism of the new theory of value by analogy with Newtonian mechanics and the modeling approach of Agent-based computational economics. This article describes the SED model’s modeling mechanisms, modeling rules, and behavior equations. At the same time, this article introduces the methods, testing standards, and some typical cases about using

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Kapçiu, Rinela, Brikena Preni, Eglantina Kalluçi, and Robert Kosova. "MODELING INFLATION DYNAMICS USING THE LOGISTIC MODEL: INSIGHTS AND FINDINGS." Jurnal Ilmiah Ilmu Terapan Universitas Jambi 8, no. 1 (2024): 364–78. http://dx.doi.org/10.22437/jiituj.v8i1.32605.

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This paper examines applying the logistic model, frequently used in biology, to analyze inflation patterns in dynamic economic systems. The primary objective is to simulate and analyze the complex dynamics of inflation, thus providing new insights into the stability of financial institutions. Numerical methods such as Euler's Method, Runge-Kutta Method (RK4), and Adams-Bashforth-Moulton's method were used to simulate inflation patterns by discretizing the logistic equation. The data utilized in this research were obtained from INSTAT, BoA, MoF, and Eurostat, with quarterly results from 1995 to

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GRAUWIN, SEBASTIAN, DOMINIC HUNT, ERIC BERTIN, and PABLO JENSEN. "EFFECTIVE FREE ENERGY FOR INDIVIDUAL DYNAMICS." Advances in Complex Systems 14, no. 04 (2011): 529–36. http://dx.doi.org/10.1142/s0219525911003128.

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Physics and economics are two disciplines that share the common challenge of linking microscopic and macroscopic behaviors. However, while physics is based on collective dynamics, economics is based on individual choices. This conceptual difference is one of the main obstacles one has to overcome in order to characterize analytically economic models. In this paper, we build both on statistical mechanics and the game theory notion of Potential Function to introduce a rigorous generalization of the physicist's free energy, which includes individual dynamics. Our approach paves the way to analyti

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Rozman, Črtomir, Miroljub Kljajić, and Karmen Pažek. "Sugar Beet Production: A System Dynamics Model and Economic Analysis." Organizacija 48, no. 3 (2015): 145–54. http://dx.doi.org/10.1515/orga-2015-0017.

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Abstract Background and Purpose: The sugar beet is the main field crop used for sugar production in the temperate climatic zone. Since investment in sugar beet industry are long term and ireversible the decision support and economic analysis are required in order to maximise investment returns. Methodology: A system dynamics methodology was chosen to model the impacts of regional sugar factory investments. We present the basic concepts of system dynamics (SD) models and their development in the case of sugar beet production and processing systems. Sugar beet economics are also analyzed using t

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31

Kim, Deokmin. "A Nonlinear Economic Growth Model: A System Dynamics Perspective." Korean System Dynamics Review 19, no. 1 (2018): 31–56. http://dx.doi.org/10.32588/ksds.19.1.2.

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32

Thurner, Stefan, Peter Klimek, and Rudolf Hanel. "Schumpeterian economic dynamics as a quantifiable model of evolution." New Journal of Physics 12, no. 7 (2010): 075029. http://dx.doi.org/10.1088/1367-2630/12/7/075029.

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33

Huang, Chuangxia, Changlin Peng, Xiaohong Chen, and Fenghua Wen. "Dynamics Analysis of a Class of Delayed Economic Model." Abstract and Applied Analysis 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/962738.

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This investigation aims at developing a methodology to establish stability and bifurcation dynamics generated by a class of delayed economic model, whose state variable is described by the scalar delay differential equation of the formd2p(t)/dt2=−μδ(p(t))(dp(t)/dt)−μbp(t−τ1) −μ(a0p(t−τ2)/(a1+p(t−τ2)))+μ(d0−g0). At appropriate parameter values, linear stability and Hopf bifurcation including its direction and stability of the economic model are obtained. The main tools to obtain our results are the normal form method and the center manifold theory introduced by Hassard. Simulations show that th

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34

Matloka, M. "Qualities of goods in a model of economic dynamics." Optimization 23, no. 2 (1992): 171–77. http://dx.doi.org/10.1080/02331939208843755.

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35

Amaral, L. A. N., P. Gopikrishnan, V. Plerou, and H. E. Stanley. "A model for the growth dynamics of economic organizations." Physica A: Statistical Mechanics and its Applications 299, no. 1-2 (2001): 127–36. http://dx.doi.org/10.1016/s0378-4371(01)00287-4.

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Tret’yakova, E. A., and D. V. Shimanovskii. "Social Welfare and Eco-economic Dynamics: An Analytical Model." Studies on Russian Economic Development 31, no. 1 (2020): 108–12. http://dx.doi.org/10.1134/s1075700720010165.

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37

Mendes, Diana A., and Vivaldo Mendes. "Control of chaotic dynamics in an OLG economic model." Journal of Physics: Conference Series 23 (January 1, 2005): 158–81. http://dx.doi.org/10.1088/1742-6596/23/1/019.

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38

Frankel, Michael L. "A model of slow equilibrium dynamics for economic expansion." Journal of Mathematical Analysis and Applications 132, no. 2 (1988): 499–513. http://dx.doi.org/10.1016/0022-247x(88)90078-9.

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Andersen, Esben Sloth. "Satiation in an evolutionary model of structural economic dynamics." Journal of Evolutionary Economics 11, no. 1 (2001): 143–64. http://dx.doi.org/10.1007/pl00003852.

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Vasylenko, Yuriy. "Overcoming the Inadequacy of Economic Dynamics Models." Ekonomika 101, no. 1 (2022): 84–101. http://dx.doi.org/10.15388/ekon.2022.101.1.5.

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Known models of economic dynamics are too aggregate, so inadequate to the real economy. The analyst will not be able to identify the real dynamics of the economy among the big mistakes. They have no connection between investments, their efficiency, and the rate of economic growth. There is no transition from the optimal share of savings in the country to the agents’ optimal shares, managing investment sources.To link investment and the pace of economic growth, the author introduced the concept of technical productivity of investments, which measures their ability to change the rate of material

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Krutilla, Kerry, and Rafael Reuveny. "The quality of life in the dynamics of economic development." Environment and Development Economics 7, no. 1 (2002): 23–45. http://dx.doi.org/10.1017/s1355770x02000037.

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The neoclassical economic growth model and its extensions in the fields of environmental economics and endogenous growth theory typically represent welfare as a single argument function of consumption when the models are analytically solved. This simplified welfare specification is narrower than those described in the quality-of-life literature and emphasized by proponents of sustainable development. The purpose of this paper is to analytically solve for the properties of a growth model based on a broader quality-of-life measure. The welfare measure includes two arguments, consumption and the

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Khavinson, M. Yu, and A. N. Kolobov. "IRREGULAR DYNAMICS IN THE AGENT-BASED MIGRATION MODEL." REGIONAL PROBLEM 24, no. 1 (2021): 34–39. http://dx.doi.org/10.31433/2618-9593-2021-24-1-34-39.

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The article is devoted to modeling the dynamics of migration at the regional level. In the context of the transition to a post-industrial society, population migration becomes more dynamic, which requires improving approaches to its forecasting and makes significant the study of personal strategies for choosing the time of migration and the host region by agents. Different strategies of agents lead to the emergence of migrant strata with dynamically changing number, unevenly distributed among the receiving regions. As a result, it can observed nonlinear fluctuations in the number of migrants,

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43

Shvaiba, D. "Dynamic regression models of forecasting indicators of social and economic security." Bulletin of Science and Practice 5, no. 1 (2019): 249–57. https://doi.org/10.5281/zenodo.2539763.

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Dynamic multi-factor regression models make it possible to take into account the dynamics of the proportions of the resulting indicator of socio-economic security and indicators in the retrospective period. The defects of such a model include the complexity of selecting indicators and determining their values in the lead period, the difficulty of forming multivariate static regression models, the development of predictive models of regression coefficients. Without paying attention to the statistical significance of multivariate models used to form a dynamic model, the values of regression coef

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Ferrer-Comalat, Joan Carles, Dolors Corominas-Coll, and Salvador Linares-Mustarós. "A Fuzzy Economic Dynamic Model." Mathematics 9, no. 8 (2021): 826. http://dx.doi.org/10.3390/math9080826.

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In the study presented here, fuzzy logic was used to analyze the behavior of a model of economic dynamics that assumes income to be in equilibrium when it is composed of consumption and investment, that is, when savings and investment are equal. The study considered that consumption and savings depend on the income of the previous period through uncertain factors, and, at the same time, that investment is an uncertain magnitude across various periods, represented as a fuzzy number with a known membership function. Under these conditions, the model determines the factor of income growth and inv

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Liu, De Jun. "Dynamic System Study on Economic Development and its Causal Feedback Relations in Economic System." Applied Mechanics and Materials 437 (October 2013): 950–55. http://dx.doi.org/10.4028/www.scientific.net/amm.437.950.

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In order to study the relationship of human capital and economic development, we establish the system dynamics model of human capital and economic development. According to the analysis of the system dynamics causal feedback between human capital and economic development, we build a system dynamics flow chart of human capital and economic development by using system dynamics software Vensim languages and tools, and we simulate the development trend of each index variable in human capital and economic for the future.

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Malyarets, Lyudmyla, Oleksandr Dorokhov, Anatoly Voronin, Irina Lebedeva, and Stepan Lebedev. "Models of microeconomic dynamics: Bifurcations and complex system behavior algorithms." Vojnotehnicki glasnik 72, no. 4 (2024): 1552–75. http://dx.doi.org/10.5937/vojtehg72-52213.

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Introduction/purpose: Studying the dynamics of the mutual influence of supply and demand is relevant in connection with the financial losses that arise due to uncertainty in demand and forecast errors. The work aims to build a mathematical model of the dynamics of this interaction for the market of one product. Methods: The paper proposes a mathematical model of the states of the supply-demand system, within the framework of which the processes occurring in this system are considered from the perspective of the methodology of economic synergetics. The mathematical model of dynamics has the for

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Gu, Jiafeng. "Spatial Dynamics, Vocational Education and Chinese Economic Growth." Journal of Systems Science and Information 2, no. 5 (2014): 385–400. http://dx.doi.org/10.1515/jssi-2014-0385.

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AbstractFew would deny the contribution of vocational education on economic growth and social development, but the spatial dynamics behind the economic role of vocational education in transition economies has not been examined by the literature on economics of education. Specifically, two hypotheses are tested. First, the economic growth and vocational education development have significant global spatial autocorrelation, which means the development of economy and vocational education of one province depends on the economic or education level of neighboring provinces. Second, the economic grow

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Gasimova, Elfana Nasimi, Lala Hamlet Mammadova, Gulchohra Saleh Salehzadeh, and Nisakhanim Boyukaga Huseynova. "ECONOMIC DYNAMICS OF DESIGN IN THE CONTEXT OF INTERNATIONAL EXPERIENCE." Academic Review 2, no. 57 (2022): 203–15. http://dx.doi.org/10.32342/2074-5354-2022-2-57-16.

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The transition from a raw model of development to a creative one, the transformation into a technologically dynamic country capable of developing, producing, and applying high technologies, innovations for large-scale production of competitive goods and services, are considered the most significant components of the strategy for modernizing the economy at the present stage. The study mainly discusses the concept of “creative economy”, its main characteristics, principles, and the international experience of the design economy. Attention is also paid to the consideration of design as a tool and

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Chernavskii, Dmitry, Grigorii Pirogov, Olga Chernavskaya, Andrei Scherbakov, and Boris Suslakov. "The dynamics of the economic society structure." Izvestiya VUZ. Applied Nonlinear Dynamics 4, no. 3 (1996): 67–76. https://doi.org/10.18500/0869-6632-1996-4-3-67-76.

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The economic structure of society is considered as a distribution of the society elements (families) by their money accomulation. The properties of unimodal and bimodal economic structure of society are discussed. The mathematical model of economic structure о society is proposed. It enables to reconstruct the economic structure of society using the information on the parameters of the model (without interrigatory) and to analyse the dynamics of economic structure of society and its stability. The reconstruction of economic structure of society in SU before 1987 year is presented. It is shown

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50

Olson, David L., Paraskeva Dimitrova‐Davidova, and Ivan Stoykov. "Systems dynamics model of a transition firm." Managerial Finance 31, no. 3 (2005): 67–80. http://dx.doi.org/10.1108/03074350510769578.

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Eastern European countries are undergoing a transition from centralized economic planning to more open economic systems. A team of Bulgarian and U.S. researchers have collaborated to study this problem, using a real Bulgarian winery as the focus of their research. System dynamics modeling was selected as a tool to provide better understanding of management issues. A framework for future objective research, and as a pedagogical tool. This system dynamics model generates output on a number of measures. This paper presents initial output from the model, reporting profit ability, risk, and market

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