Journal articles: 'ECONOMIC DYNAMICS MODEL'

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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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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 (June 1996): 6951–56. http://dx.doi.org/10.1016/s1474-6670(17)58800-x.

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

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

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McDonald, Nicola J., and Garry W. McDonald. "Towards a Dynamic Equilibrium-Seeking Model of a Closed Economy." Systems 8, no. 4 (November 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 feedback loops that simulate the self-regulating behaviour of a dynamic economic system. Our modelling shows not only equilibrium states (as per conventional CGE models), but the transition path toward an often-changing equilibrium. This facilitates the investigation of out-of-equilibrium dynamics and behaviour adaptation typical of largescale disruption events.

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Milić Beran, Ivona. "SYSTEM-DYNAMIC MODELING OF THE IMPACT OF SOCIAL CAPITAL ON ECONOMIC GROWTH." DIEM: Dubrovnik International Economic Meeting 6, no. 1 (September 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 progress without the influence of social capital. The purpose of this paper is to develop a system-dynamic model of the impact of social capital on economic growth that will enable better understanding and management of social capital. In order to build a system dynamics model, the paper will: provide an analysis and overview of social capital and system dynamics; develop a system dynamics structural and mental-verbal model of the impact of social capital on economic growth; and develop a mathematical model of economic growth. This will provide a practical insight into the dynamic behavior of the observed system, i.e., analyzing economic growth and observing the mutual correlation between individual parameters. Keywords: social capital, economic growth, system dynamics, structural model

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Liu, Wei, and Yaolin Jiang. "Modeling and dynamics of an ecological-economic model." International Journal of Biomathematics 12, no. 03 (April 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 stability of center are obtained. Several numerical simulations for demonstrating the theoretical results are also presented. Lastly, according to the dynamical analysis, we provide a threshold value for the economic profit, which can maintain the sustainable development of our eco-economic system.

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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 (August 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 analytical treatments of a wide range of socio-economic models and might bring new insights into them. As first examples, we derive solutions for a congestion model and a residential segregation model.

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Ferrer-Comalat, Joan Carles, Dolors Corominas-Coll, and Salvador Linares-Mustarós. "A Fuzzy Economic Dynamic Model." Mathematics 9, no. 8 (April 10, 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 investments required to maintain equilibrium, as well as the uncertain values of income for the different periods, expressed through fuzzy numbers. The study also analyzes the conditions for their convergence and the fuzzy value that income represents in equilibrium.

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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 (January 1, 2018): 16–22. http://dx.doi.org/10.2495/dne-v13-n1-16-22.

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Musin, Artur R. "Economic-mathematical model for predicting financial market dynamics." Statistics and Economics 15, no. 4 (September 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 effect of clustering participants on behavioral patterns, as the basis of technical analysis. In addition, it is necessary that the created economic-mathematical model should take into account the phenomenon of existing historical trading levels and control the influence they exert on price dynamics, when it falls into local areas of these levels. Such analysis of price behavior patterns in certain areas of historical repeating levels is a popular approach among professional market participants. Besides, an important criterion of developing model’s potential applicability by a wide range of the interested specialists is its general functional form’s simplicity and, in particular, its components.Materials and methods. In the study, the market of the pound sterling exchange rate against the US dollar (GBP/USD) for the whole period of 2017 was chosen as the considered financial series, in order to forecast it. The presented economic-mathematical model was estimated by classical Kalman filter with an embedded neural network. The choice of these assessment tools can be explained by their wide capabilities in dealing with non-stationary, noisy financial market time series. In addition, applying Kalman filter is a popular technique for estimation local-level models, which principle was implemented in the newly model, proposed in article.Results. Using chosen approach of simultaneous applying Kalman filter and artificial neural network, there were obtained statistically significant estimations of all model’s coefficients. The subsequent model application on GBP/USD series from the test dataset allowed demonstrating its high predictive ability comparing with added random walk model, in particular judging by percentage of correct forecast directions. All received results have confirmed that constructed model allows effectively taking into account structural features of considered market and building good forecasts of future price dynamics.Conclusion. The study was focused on developing and improving apparatus of forecasting financial market prices dynamics. In turn, economic-mathematical model presented in that paper can be used both by specialists, carrying out theoretical studies of pricing process in financial markets, and by professional market participants, forecasting the direction of future price movements. High percentage of correct forecast directions makes it possible to use proposed model independently or as a confirmatory tool.

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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 (April 2007): 241–43. http://dx.doi.org/10.1140/epjst/e2007-00094-x.

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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 (February 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 stock of nature capital. This formulation enables an analysis of the consequences of the dynamic tension between conventionally defined economic growth and nature capital preservation. We find that a static model without technical progress yields diverse steady states, stability properties, and comparative statics, while a model with exogenous technical progress exhibits unusual comparative dynamics and balanced growth paths. These unusual outcomes have a number of policy-relevant implications for sustainable development.

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

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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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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 (November 2005): e389-e398. http://dx.doi.org/10.1016/j.na.2005.02.097.

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Blake, Adam. "The Dynamics of Tourism's Economic Impact." Tourism Economics 15, no. 3 (September 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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Rozman, Črtomir, Miroljub Kljajić, and Karmen Pažek. "Sugar Beet Production: A System Dynamics Model and Economic Analysis." Organizacija 48, no. 3 (August 1, 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 the static technological economic simulation model. Results: The simulation provides answers to strategic questions related to the total sugar beet production and processing system and will be used for the simulation of different scenarios for sugar production and their impact on economic and environmental parameters at an aggregate level. Furthermore, the feasibility analysis of sugar beet production revealed that at the current price and intensity levels (yields), we can expect profitable sugar beet production for both white sugar and ethanol. Conclusion: Preliminary results show that under expected production parameters the sugar beet processing and production would be economically feasible.

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

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

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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 (October 2001): 127–36. http://dx.doi.org/10.1016/s0378-4371(01)00287-4.

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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 the theoretically predicted values are in excellent agreement with the numerically observed behavior. Our results extend and complement some earlier publications.

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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 (January 2020): 108–12. http://dx.doi.org/10.1134/s1075700720010165.

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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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Thurner, Stefan, Peter Klimek, and Rudolf Hanel. "Schumpeterian economic dynamics as a quantifiable model of evolution." New Journal of Physics 12, no. 7 (July 30, 2010): 075029. http://dx.doi.org/10.1088/1367-2630/12/7/075029.

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Frankel, Michael L. "A model of slow equilibrium dynamics for economic expansion." Journal of Mathematical Analysis and Applications 132, no. 2 (June 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 (January 2001): 143–64. http://dx.doi.org/10.1007/pl00003852.

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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, for the study of which simulation modeling tools are relevant. This research is devoted to the study of the migration processes complex dynamics by the method of agent-based modeling. The simulation is based on the assumption that a migrant, when choosing a region, follows a strategy, characteristic of his age group, which in the long end directly affects the distribution of the number of migrants of various cohorts and the total number of migrants in the region. At this, the strategy choice is determined by socio-economic characteristics of the regions: different levels of economic, social and environmental attractiveness. The authors hypothesized that different strategies of migration behavior can lead to complex migration dynamics. To test the hypothesis, the authors built a basic agent-based model of migration for three regions, which takes into account various strategies of agents' migration behavior, including the choice of a region with the highest economic, social or environmental level of attractiveness. The result of numerical experiments shows that a combination of various strategies for choosing a region with a change in the age structure of migrants leads to periodic and complex regimes of migration dynamics. The authors have found the conditions under which complex dynamics in the model occurs in the short - and medium-term periods.

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Gu, Jiafeng. "Spatial Dynamics, Vocational Education and Chinese Economic Growth." Journal of Systems Science and Information 2, no. 5 (October 25, 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 growth and vocational education development have significant local spatial autocorrelation. With per capital GDP and vocational education scale data of 31 provinces in China from 1995 to 2008, both hypotheses are supported. Finally, the results show that the elasticity with spatial metrics is 1.522, which means the stronger economic role of vocational education because the elasticity is larger than 1, while the elasticity without spatial dynamics is only 0.926 which implies the weak economic role of vocational education. It also shows that the OLS model is confronted with the risk of spurious regression without considering spatial dynamics and the spatial error model is preferred because it’s robust.

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Żukowski, Paweł. "Podstawy budowy modelu dynamiki systemu zarządzania oraz jego symulacja w organizacji gospodarczej (na podstawie metodologii dynamiki systemów J.W. Forrestera)." Przedsiębiorczość - Edukacja 8 (January 1, 2012): 331–47. http://dx.doi.org/10.24917/20833296.8.24.

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In the work chapter, after discussing issues related to systems thinking, mental models, system dynamics and procedure of modeling, presents the socio-mathematical description of the dynamics of economic organization management system based on system dynamics methodology developed by Jay W. Forrester, as a creative concept used for researching system thinking. The purpose of this description is to illustrate the methodology and characteristics the construction this type of that models. This description is a simply way represent any economic organization (production), which show the organizational units (departments and production department), the flows of orders, the streams of information about materials and prefabricates, final products and their storage and sales. Built model of system dynamics allow management to analyze the causes of fluctuations In the processes of economic organization changes observed at the urgen changes to take new orders for final products. The simulation made on the basic experimentally constructed model revealed certain properties characteristic of the dynamic behavior of economic organization (formation of the characteristic and interesting letter size) at its manufacturing operations in case of adoption of new orders for final products.

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Olson, David L., Paraskeva Dimitrova‐Davidova, and Ivan Stoykov. "Systems dynamics model of a transition firm." Managerial Finance 31, no. 3 (March 1, 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 share measures. These multiple measures create the need for multiple criteria analysis. Three multiple criteria techniques are demonstrated, and their value in the system dynamics simulation modeling process is discussed.

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Batkovskiy, Aleksandr, Aleksandr Leonov, Aleksey Pronin, Alexander Chursin, and Evgeniy Nesterov. "Regulation of the Dynamics of Creating High-Tech Products." International Journal of Engineering & Technology 7, no. 3.14 (July 25, 2018): 261. http://dx.doi.org/10.14419/ijet.v7i3.14.16904.

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The existing models for regulating the dynamics of the creation of science-intensive products are very fragmented; they are based on various initial data and do not allow giving a comprehensive assessment of the feasibility of RandD for the creation of science-intensive products within a given time, especially in risk.Financial and economic risk; scientific, industrial and technological risk. Taking into account these types of risk, we introduce a methodical tool. This is a complex model for regulating economic dynamics designed for a probabilistic and cost description of the dynamics and results of the creation of science-intensive products.The model provides a complex tech-economic evaluation of projects to develop high-tech products in risk. This model has a universal character and can be used in all branches of economics of a technologically developed country. In practice, this complex model can be useful at the stage of selection of competing organizations designs with the purpose of evaluating their capacity to implement projects, as well as at the stage of adjusting the funding plan and cost estimates for the creation of science-intensive products.This model may be used in planning bodies to assess the capabilities of design organizations in the implementation of orders for the creation of science-intensive products.

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Karpinsky, B. A., I. M. Vasylkiv, О. B. Karpinska, and A. B. Shevtsiv. "The Model of Sustainable Economic Development: Formation and Comparative Dynamics." Scientific Bulletin of UNFU 26, no. 2 (March 31, 2016): 7–21. http://dx.doi.org/10.15421/40260201.

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Zhang, Wei-Bin. "Environmental Policy and Pollution Dynamics in an Economic Growth Model." Modern Economy 02, no. 04 (2011): 633–41. http://dx.doi.org/10.4236/me.2011.24071.

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Herbert, Ric D., and Peter J. Stemp. "Solving the dynamics of a representative agent macro-economic model." Mathematics and Computers in Simulation 59, no. 1-3 (May 2002): 95–104. http://dx.doi.org/10.1016/s0378-4754(01)00397-4.

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Ishiyama, Ken-ichi, and Yoshitaka Saiki. "Unstable periodic orbits embedded in a chaotic economic dynamics model." Applied Economics Letters 12, no. 12 (October 10, 2005): 749–53. http://dx.doi.org/10.1080/13504850500120318.

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Pagani, Margherita. "Interactive television: A model of analysis of business economic dynamics." International Journal on Media Management 2, no. 1 (January 2000): 25–37. http://dx.doi.org/10.1080/14241270009389918.

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Peng, Mingshu, Zhonghao Jiang, Xiaoxia Jiang, Jiping Hu, and Youli Qu. "Multistability and complex dynamics in a simple discrete economic model." Chaos, Solitons & Fractals 41, no. 2 (July 2009): 671–87. http://dx.doi.org/10.1016/j.chaos.2008.02.040.

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Gonzalez-Parra, Gilberto, and Abraham J. Arenas. "A Mathematical Model for Social Security Systems with Dynamical Systems." Ingeniería y Ciencia 10, no. 19 (January 2014): 33–53. http://dx.doi.org/10.17230/ingciencia.10.19.2.

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In this paper it is proposed a mathematical approach based ondynamicsystems to study the effect of the increase in the Social Security normalretirement age on the worker and on the dynamics of retiree populations.In order to simplify this initial effort, the proposed model does not includesome economic variables, such as wage growth, earnings or productivity.Here, we employ numerical simulations of the model to investigate the dy-namics of the labor force under different demographic scenarios. Analysisof this type of model with numerical simulations can help government economic planners make optimal strategies to sustain pension systems andforecast future trends of pensioner and worker populations.

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Hamidov, S. I. "Applying Graph Theory to Some Problems of Economic Dynamics." Discrete Dynamics in Nature and Society 2019 (June 2, 2019): 1–6. http://dx.doi.org/10.1155/2019/7974381.

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This paper studies dynamic models of production and exchange on graph with consideration of transportation costs. Using graph and set of matrices, we introduce superlinear multivalued mappings which describe the exchange ratio in considered system. Effective trajectories of these models are studied. It is shown that trajectories can be constructed using the simplest equilibrium type mechanisms. Characteristics of effective trajectories in Neumann type models are given. Conditions for the existence of equilibrium state of the considered model are found.

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Bathory, David S. "Personality, Relationships, and Decision Making with Relational Dynamics." International Journal of Applied Behavioral Economics 4, no. 4 (October 2015): 52–74. http://dx.doi.org/10.4018/ijabe.2015100104.

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Within the field of Economics there is great interest in predicting the future. In creating Economic Models the rationale has been to create fixed equations that can account for all variables associated with the issues of capital, labor, wages, prices, tariffs and taxes but few models explored the human variable. Probability Statistics bases decision making models upon mathematical predictions. Game Theory is an economic model that begins to explain the rationale of human decision making, but fails to account for flawed thinking and pathology. Relational Dynamics attempts to provide a means of understanding the strategies used in communication and decision making. Within humanity, not all decisions are made rationally and to account for illogical choices, psychology has provided theories of pathology to explain human idiosyncrasies. This paper will explore personality disorders as described by the DSM V and Relational Dynamics in an attempt to understand how pathology influences relationships, decision making and behavioral economics.

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Janiga-Ćmiel, Anna. "Detecting Shocks in The Economic Development Dynamics of Selected Countries." Folia Oeconomica Stetinensia 13, no. 2 (July 8, 2014): 120–33. http://dx.doi.org/10.2478/foli-2013-0018.

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Abstract The paper examines the development of the Polish economy as well as the economies of selected countries in the period from 2001 to 2012. For that purpose, models based on the GDP growth in particular countries were built. A comparative analysis of the development of economies in the countries concerned (the United Kingdom, Belgium, Denmark, France, Poland, the Netherlands), based on a specially built full-factor multivariate GARCH model, is presented. The theory of the construction of a full-factor multivariate GARCH model and its estimation method are discussed. In the paper, a multivariate GARCH model where the covariance matrix is always positive, deﬁnite and the number of parameters is relatively small compared to other multivariate models is proposed. The causality of the impact that economies exert on one another is examined and the occurrence of the contagion effect is verified by means of the Forbes and Rigobon test.

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Atkeson, Andrew, Ariel T. Burstein, and Manolis Chatzikonstantinou. "Transitional Dynamics in Aggregate Models of Innovative Investment." Annual Review of Economics 11, no. 1 (August 2, 2019): 273–301. http://dx.doi.org/10.1146/annurev-economics-080218-025523.

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What quantitative lessons can we learn from models of endogenous technical change through innovative investments by firms for the impact of changes in the economic environment on the dynamics of aggregate productivity in the short, medium, and long run? We present a unifying model that nests several canonical models in the literature and characterize both their positive implications for the transitional dynamics of aggregate productivity and their welfare implications in terms of two sufficient statistics. We review the current state of measurement of these two sufficient statistics and discuss the range of positive and normative quantitative implications of our model for a wide array of counterfactual experiments, including the link between a decline in the entry rate of new firms and a slowdown in the growth of aggregate productivity. We conclude with a summary of the lessons learned from our analysis to help direct future research aimed at building models of endogenous productivity growth that are useful for quantitative analysis.

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Sergienko, O. A., M. A. Mashchenko, and V. V. Baranova. "Modeling the Instability of Development of Complex Hierarchical Systems." PROBLEMS OF ECONOMY 1, no. 47 (2021): 143–54. http://dx.doi.org/10.32983/2222-0712-2021-1-143-154.

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The article suggests using modern instruments of dynamic analysis, i.e. the theories of phase, cointegration, and bifurcation analysis and the catastrophe theory to improve the methodology to study the dynamic pattern of the development indices of complex hierarchical systems (CHS) and their relationship. The article elaborates the main directions for creating research models, which would describe the interaction between the development indices of CHS, grounded on estimating and analyzing pre-crisis, crisis and post-crisis phenomena in hierarchical social and economic territorial systems. A conceptual framework algorithm is designed to model the dynamic pattern of the CHS development using modern economic and mathematical instruments to study the dynamics of time-series data and assess the relationship of CHS indices. Complex models have been implemented to monitor the key CHS development indices based on the phase and cointegration analysis of the relationship between the following processes: investment and GDP; GDP and industrial production dynamics; GDP dynamics and import volumes dynamics; wages dynamics and industrial production dynamics; migration and natural population growth. As part of the implementation of a comprehensive model for monitoring key indices of CHS development based on bifurcation analysis and the catastrophe theory, the supercritical Hopf bifurcation is built in the relationship model of imports and GDP; surfaces of the functions of Kaldor’s model and a three-dimensional Kaldor’s model are constructed. The suggested complex toolkit for research models of the CHS development instability gives us the opportunity to draw conclusions about the reasons and factors of the occurrence of endogenous (self-generating) fluctuations and bifurcations; about the probability of catastrophes and crises arising in complex hierarchical economic systems. The solution of problems caused by the CHS development instability on the basis of complex application of phase, cointegration and bifurcation analysis will allow us to predict crisis situations in advance and to offer methods of their prevention, to find complex ways out of crisis situations.

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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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Lazarus, E. D., D. E. McNamara, M. D. Smith, S. Gopalakrishnan, and A. B. Murray. "Emergent behavior in a coupled economic and coastline model for beach nourishment." Nonlinear Processes in Geophysics 18, no. 6 (December 15, 2011): 989–99. http://dx.doi.org/10.5194/npg-18-989-2011.

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Abstract. Developed coastal areas often exhibit a strong systemic coupling between shoreline dynamics and economic dynamics. "Beach nourishment", a common erosion-control practice, involves mechanically depositing sediment from outside the local littoral system onto an actively eroding shoreline to alter shoreline morphology. Natural sediment-transport processes quickly rework the newly engineered beach, causing further changes to the shoreline that in turn affect subsequent beach-nourishment decisions. To the limited extent that this landscape/economic coupling has been considered, evidence suggests that towns tend to employ spatially myopic economic strategies under which individual towns make isolated decisions that do not account for their neighbors. What happens when an optimization strategy that explicitly ignores spatial interactions is incorporated into a physical model that is spatially dynamic? The long-term attractor that develops for the coupled system (the state and behavior to which the system evolves over time) is unclear. We link an economic model, in which town-manager agents choose economically optimal beach-nourishment intervals according to past observations of their immediate shoreline, to a simplified coastal-dynamics model that includes alongshore sediment transport and background erosion (e.g. from sea-level rise). Simulations suggest that feedbacks between these human and natural coastal processes can generate emergent behaviors. When alongshore sediment transport and spatially myopic nourishment decisions are coupled, increases in the rate of sea-level rise can destabilize economically optimal nourishment practices into a regime characterized by the emergence of chaotic shoreline evolution.

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YANG, SHIN NAN. "CHIRAL DYNAMICS AND DUBNA-MAINZ-TAIPEI DYNAMICAL MODEL FOR PION PHOTOPRODUCTION REACTION." International Journal of Modern Physics A 26, no. 03n04 (February 10, 2011): 718–21. http://dx.doi.org/10.1142/s0217751x11052633.

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We demonstrate that the Dubna-Mainz-Taipei (DMT) meson-exchange dynamical model, which starts from an effective chiral Lagrangian, for pion photoproduction provides an excellent and economic framework to describe both the π0 threshold production and the Δ deformation, two features dictated by chiral dynamics.

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Naumkina, Dina, Alexander Rostovtsev, and Alexandr Abramov. "Digital heterogeneous dynamic model of peled Coregonus peled Gmelin." Fisheries 2020, no. 5 (October 9, 2020): 80–85. http://dx.doi.org/10.37663/0131-6184-2020-5-80-85.

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The article provides an example of constructing a complex dynamic model of a biological and economic system with the commodity two-year-old peled growing in Lake Ik in 2017-2018 as a case study. A brief description of the lake and a detailed description of the principle of constructing a heterogeneous dynamic model are given. A block diagram of a heterogeneous biological and economic system is under construction. The scenario of temporal development of the system is described. As a result, the model itself is presented in the form of graphs showing time dynamics of the amount of food, fish biomass, and working capital of the peled growing business process.

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Ikeda, K., Y. Kogure, H. Aizawa, and Y. Takayama. "Invariant Patterns for Replicator Dynamics on a Hexagonal Lattice." International Journal of Bifurcation and Chaos 29, no. 06 (June 15, 2019): 1930014. http://dx.doi.org/10.1142/s0218127419300143.

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A hexagonal lattice is a promising and plausible spatial platform for economic agglomeration in spatial economic models. This paper aims at the elucidation of agglomeration mechanisms for the replicator dynamics on this lattice. Attention is paid to the existence of invariant solutions that retain their spatial patterns when the bifurcation parameter changes. Such existence is a special feature of the replicator dynamics, which is widely used in economics. A theoretical procedure to find invariant patterns is proposed and possible invariant patterns are advanced and classified. Among a plethora of theoretically possible invariant patterns, those which actually become stable for a spatial economic model are investigated numerically. The major finding of this paper, is the demonstration of equilibrium curves of invariant patterns that are connected by those of noninvariant ones to form a complicated mesh-like structure, just like the threads of warp and weft. It would be an important scientific mission to elucidate the mechanism of this complicated structure, and contribute to the study in economic geography.

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Morier, Bruno, and Vladimir Kühl Teles. "A TIME-VARYING MARKOV-SWITCHING MODEL FOR ECONOMIC GROWTH." Macroeconomic Dynamics 20, no. 6 (November 10, 2015): 1550–80. http://dx.doi.org/10.1017/s1365100514001023.

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This paper investigates patterns of variation in economic growth across and within countries using a time-varying transition matrix Markov-switching approach. The model developed here explains the dynamics of growth based on a collection of different states that countries pass into and out of over time; in addition, these states are characterized by their own submodels and growth patterns. The transition matrix among the different states varies over time—depending on the conditioning variables of each country—with a linear dynamic for each state. We develop a generalization of Diebold's EM algorithm and estimate a sample model in a panel with a transition matrix conditioned on institutional quality and the investment level. We find three states of growth: stable growth, miraculous growth, and stagnation. The results show that institutional quality is an important determinant of long-term growth, whereas the investment level plays a variety of roles: it contributes positively in countries with high-quality institutions but is of little relevance in countries with medium- or low-quality institutions.

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Journal articles on the topic 'ECONOMIC DYNAMICS MODEL'

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