Relevant bibliographies by topics / ECONOMIC DYNAMICS MODEL

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'ECONOMIC DYNAMICS MODEL'

Author: Grafiati
Published: 24 June 2021
Last updated: 21 June 2025

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Journal articles on the topic "ECONOMIC DYNAMICS MODEL"

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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 effect of economic externality. The other is between the market behavior and market residues, namely, market aftertaste. Section 3 discusses the microstructural properties of the market, including Dirac's equation and the market, Dirac γmatrix notation, and the chirality and spin structure of market components. Section 4 discusses the helical structural characteristics of supply chains, including CPT theorems, Penrose zigzag helical processes, and several modeling directions of economic externality and buyer-seller interactions (weak interactions). Section 5 discusses the economic externality and the electroweak model, including extensive externality, externality mediations with Weinberg rotations, and economic analysis using lepton weak currents, including the analysis of lepton neutral weak currents. Finally, Section 6 provides a general discussion on the standard model of economic dynamics.
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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 restoration.
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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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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 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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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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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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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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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 education, culture, scientific and information support of society in its quest to create environmentally safe living space and, also, the need to balance its socio-economic and environmental characteristics have been disclosed. These characteristics a priori suggest that in modern conditions economy and ecology are closely interrelated, therefore, any economy or economic system should be understood as a single integral ecological-economic system which, in contrast to its constituent subsystems, has some peculiarities inherent only to it. The complexity of the ecological and economic system as an object of research requires the development of a new research methodology that combines a set of principles, methods and tools of scientific knowledge used in various scientific fields. There has been developed dynamic model of a one-sector economy, in which, in addition to the production of basic aggregative products, industrial waste utilization is also carried out. The formalization of the model also takes into account the socio-economic clustering of society, makes it possible to identify groups of production owners and workers in the model and describe the dynamics of their liquid savings, whose role in the functioning of the economy is fundamentally important. In addition to these values, the model variables also include the price of basic products, the tariff for the disposal of production residues and the volume of environmental pollution by non-utilized waste. Taken together, all variable models form the phase space of the trajectories of the ecological-economic dynamics. The model is designed for a qualitative and quantitative analysis of the dynamics of ecological-economic systems of the described type. The research of such dynamics is possible in the mode of simulation experiments with a model, the results of which make it possible to identify general trends and patterns of development of a one-sector economy in terms of its ecologization and socio-economic clustering. The features and characteristics established as a result of experimental studies with the model can serve as an important information support for the development of scenarios of ecological-economic development and management decision on the functioning and dynamics of ecological-economic systems in real practice.
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Dissertations / Theses on the topic "ECONOMIC DYNAMICS MODEL"

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Toni. "Economic model of mine closure and its potential for economic transformation." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2015. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-162978.

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In Indonesia, the various mining commodities and the amount of resources and reserves are promising, as evidence there are numerous large-scale mining companies and small-scale mines in operation. In 2014 there were 41 companies that held the CoW (mineral contract of work) and 13 companies active in production; and 76 CCoW (coal contract of work) holders, and 57 companies active in production. As well as this, there are more than a thousand small-scale mining companies active for mining commodities. However, mining commodities provide a resource that is not renewable. This will potentially lead to prolonged problems when mining companies do not adhere to good mining practices, particularly in the closing stages of the mine. Mine closure is the final stage in the process of mining activity. In certain circumstances, closure activities can take a long time and of course can have huge costs. In fact, at this stage, the company is no longer making profit, only incurring costs for the project closure. To prevent problems that may arise after the mine is closed, such as abandoned post-mining land, and the bankruptcy of the company at the end of mining operations, etc., then through specific rules, ie rules of the Minister of Energy and Mineral Resources No. 18 of 2008, the mining company in Indonesia must provide a certain amount of money as a financial guarantee to finance the planned closure project; it must be approved by the government before entering this phase. However, problems are encountered in practice. The government may become overloaded because they have to quickly make a decision on the closure plan submitted by the company. So a tool is needed that can be used to assess the feasibility as soon as the mine closure plan is proposed by a company, these tools can provide an overview and a variety of options for decision making. In this dissertation methodology was developed to create a systems dynamic model of mine closure. The model developed can be applied to a variety of mining methods and for various mining commodities. The model can be used to determine the closure costs, to choose the closure project-financing scenario, and up to micro and macro economic analysis of mining activities in the region. In the case studies conducted in this dissertation, the best scenario of the mine closure planning is to include the everlasting fund in the form of time deposits, and convert the post-mining land for agriculture. The amount of deposit money is about USD 358,986,500 should be spare at the end of mine production, and the total of mine closure cost to be approximately USD 440,757,384. Agriculture, the economic sector as a substitute for the mining sector, the added value to the GRDP (Gross Regional Domestic Product) is about 0.25 % / a for the province, and 1.68 % for the regency, but the contribution of the mining sector to GRDP was 30% / a at province scale, and 90% / a at regency scale. So that the substitution value is less significant to GRDP growth. However, this scenario is the best scenario among others, due to consideration is the certainty of ecological and economic sustainability. it is the best goal of corporate social responsibility to the environment in the post- mining land.
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Schmidt, Gordon W. "Dynamics of endogenous economic growth : a case study of the "Romer model" /." Amsterdam [u.a.] : Elsevier, 2003. http://www.loc.gov/catdir/enhancements/fy0614/2003043910-d.html.

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Reda, Hussein Murad Ali. "A theory for national industrial development presented in a system dynamics model." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/76481.

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The dissertation presents a system dynamics model for national industrial development in developing economies. A development system is defined by national boundary, components and activities. The system is represented by ten activity sectors grouped into three functional classes: (1) Two driving sectors comprising population and investment capital sectors; (2) Seven industrial sectors: resources, manufacturing, agriculture, physical infrastructure, services, technology, and social infrastructure; and (3) An outlet sector represented by a trade sector. The model's general theory of industrial development dynamics is described by causal feedback loops. A causal feedback loop consists of two or more interrelated variables where a change in one of the loop's variables causes all others to change as well. The industrial development model's specific structure evolved by applying the causal feedback theory to the system activity sectors. The model is written in DYNAMO, a continuous system, computer simulation language. A prototype model run illustrated the basic development process and possible effects of alternative policies. Several conclusions were drawn regarding sensitive system parameters and various development policies. In addition, three developing-country examples representing low, middle, and high income groups were evaluated. Recommendations about model use and system analysis were presented. The industrial development model is intended to aid during development analysis and planning phases.<br>Ph. D.
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Schmidt, Gordon 1946. "Dynamics of endogenous economic growth theory and related issues : a case study of the "Romer model"." Monash University, Dept. of Economics, 2001. http://arrow.monash.edu.au/hdl/1959.1/8832.

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Erdogan, Ezgi. "A Complex Dynamical Systems Model Of Education, Research, Employment, And Sustainable Human Development." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12612138/index.pdf.

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Economic events of this era reflect the fact that the value of information and technology has surpassed the value of physical production. This motivates countries to focus on increasing the education levels of citizens. However, policy making about education system and its returns requires dynamical analyses in order to be sustainable. The study aims to investigate the dynamic characteristics of a country-wide education system, in particular, that of Turkey. System Dynamics modeling, which is one of the most commonly referred tools for understanding the complex social structures, is used. Our model introduces dynamic relationships among different classes of labor forces with varying education levels, university admissions, research quality, and the investments made in education, research and other sectors. Model experimentation provides new insights into the investment and capacity-related aspects of the education system environment.
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Kellie-Smith, Owen. "Relating forced climate change to natural variability and emergent dynamics of the climate-economy system." Thesis, University of Exeter, 2010. http://hdl.handle.net/10036/115194.

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This thesis is in two parts. The first part considers a theoretical relationship between the natural variability of a stochastic model and its response to a small change in forcing. Over a large enough scale, both the real climate and a climate model are characterised as stochastic dynamical systems. The dynamics of the systems are encoded in the probabilities that the systems move from one state into another. When the systems’ states are discretised and listed, then transition matrices of all these transition probabilities may be formed. The responses of the systems to a small change in forcing are expanded in terms of the eigenfunctions and eigenvalues of the Fokker-Planck equations governing the systems’ transition densities, which may be estimated from the eigenvalues and eigenvectors of the transition matrices. Smoothing the data with a Gaussian kernel improves the estimate of the eigenfunctions, but not the eigenvalues. The significance of differences in two systems’ eigenvalues and eigenfunctions is considered. Three time series from HadCM3 are compared with corresponding series from ERA-40 and the eigenvalues derived from the three pairs of series differ significantly. The second part analyses a model of the coupled climate-economic system, which suggests that the pace of economic growth needs to be reduced and the resilience to climate change needs to be increased in order to avoid a collapse of the human economy. The model condenses the climate-economic system into just three variables: a measure of human wealth, the associated accumulation of greenhouse gases, and the consequent level of global warming. Global warming is assumed to dictate the pace of economic growth. Depending on the sensitivity of economic growth to global warming, the model climate-economy system either reaches an equilibrium or oscillates in century-scale booms and busts.
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Tromboni, Flavia. "Integrated hydrologic-economic model for sustainable water resources management in front of climate change. The Tunuyán River basin and the Piave River Basin case studies." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3423337.

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Abstract The research carried out investigated the structure of the complex system composed by hydrological, economic and climatic variables, with the aim of sustainable water management modelling. Two case studies (the Tunuyán River Basin and Piave River Basin) were investigated, applying different methodologies for data analysis, due to the diverse management objectives and specific site characteristics. In the Tunuyán River Basin case study a correlation analysis on time series data of annual grape yields, sugar rate, monthly temperatures and precipitations was carried on, in order to individuate possible relations between them. Strong correlations were found between annual grape yield and minimum temperature of June, minimum temperature of July, maximum temperature of January, maximum temperature of October and the PVC index of precipitations. Correlations were strong also between sugar rate in grape and minimum temperature of July, minimum temperature of November, Minimum temperature of December, Maximum temperature of February, Maximum temperature of November and the PVC index. A multi-linear regression analysis was then applied to data in order to quantify those relations. A Mann Kendall analysis was applied on time series of meteorological data and the Tunuyán River up flow discharge, to detect significant trends. Significant positive trends were identified on the total annual river flow and on mostly monthly river flows except for July, August, September and December monthly flows, which trends were not significant. The optimum area to be sustainable irrigated with a 12” pump, energy requirements and energy cost for water extraction were estimated using data available from pumping tests. Irrigation water demand as total crop water requirements was estimated using the FAO Penman-Monteith formula. Energy cost variations were examined to evaluate the economic impact of climate warming. The cultivated area increase rate (as a consequence of economic development) was also considered. Finally, all variables were integrated in a whole dynamic system model written in Vensim, to analyse the dynamic of the entire system through time. The objective formula of the integrated model is the maximisation of net benefit minimizing water use. In the Piave River Basin case study a Mann-Kendall trend analysis was carried on to detect trends in time series of monthly precipitations. Significant trends were indentified identified only in September precipitations. An optimization model written in GAMS was applied to estimate the cultivation pattern for optimum water allocation.<br>Abstract La ricerca ha analizzato la sruttura del sistema complesso costitutio da variabili idrologiche, economiche e climatiche, con l’obbiettivo della modellazioneper la gestione sostenibile delle risorce idriche. Due casi studi sono stati approfonditi, il bacino del fiume Tunuyan (Mendoza, Argentina) e il bacino del fiume Piave (Italia). Diverse metodologie di analisi dei dati sono state applicate, a causa di diversi obbiettivi gestionali e seconda della caratteristiche specifiche di ciascuna zona. Nel caso studio del bacino del fiume Tunuyan è stata condotta un’analisi di correlazione tra serie storiche di dati di produzione di uva, tenore zuccherino nell’uva, temperature mensili di precipitazioni, con l’obbiettivo di identificare possibili relazioni tra le variabili. Forti correlazioni sono state identificate tra produzione annuale di uva e temperatura minima di Giugno, temperatura minima di Luglio, temperatura minima di Novembre, temperatura minima di dicembre, temperatura massima di febbraio, temperatura massima di Novembre e l’indice PVC di precipitazioni. Un’analisi di regressione lineare multipla è infine stata applicata ai dati per quantificare tali relazioni. L’analisi delle tendenze delle serie storiche di dati meteorologici e di portata del fiume Tunuyán è stata condotta attraverso il test non parametrico Mann Kendall, che ha permesso di valutare le tendenze significative. Tendenze positive sono state identificate nella portata a monte totale e in quasi tutte le serie storiche delle portate mensili, tranne per Luglio, Agosto, Settembre e Dicembre, le cui tendenze sono risultate non significative. L’area di irrigazione ottimale con una pompa di estrazione di 12” ,le necessità energetiche e i costi di estrazione dell’acqua sotterranea sono stati calcolati attraverso i dati disponibili da test di pompaggio condotti dall’INA (Istituto Nacional del Agua di Mendoza). La domanda irrigua, calcolata come necessità idriche delle colture è stata stimata usando la formula FAO Penman-Monteith. Le variazioni nei costi sono state esaminate per valutare i possibili impatti del riscaldamento globale. L’incremento di area coltivata come conseguenza dello sviluppo economico è stato preso in considerazione. Infine tutte le variabili sono state integrate in un modello olisitco scritto in Vensim, con l’obbiettivo di analizzare la dinamica dell’intero sistema nel tempo. La formula obbiettivo del modello integrato è la massimizzazione dei profitti minimizzando l’utilizzo di risorsa idrica. Nel caso studio del bacino del Piave un’analisi di tendenza Mann-Kendall è stata condotta per individuare le tendenza nelle serie storiche di dati di precipitazione. Tendenze positive sono state identificate solo nelle precipitazioni di Settembre. Un modello di ottimizzazione scritto in GAMS è stato infine applicato per stimare il pattern di coltivazione per l’allocazione ottimale della risorsa idrica.
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Steinbach, Max Rudibert. "Essays on dynamic macroeconomics." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86196.

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Thesis (PhD)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: In the first essay of this thesis, a medium scale DSGE model is developed and estimated for the South African economy. When used for forecasting, the model is found to outperform private sector economists when forecasting CPI inflation, GDP growth and the policy rate over certain horizons. In the second essay, the benchmark DSGE model is extended to include the yield on South African 10-year government bonds. The model is then used to decompose the 10-year yield spread into (1) the structural shocks that contributed to its evolution during the inflation targeting regime of the South African Reserve Bank, as well as (2) an expected yield and a term premium. In addition, it is found that changes in the South African term premium may predict future real economic activity. Finally, the need for DSGE models to take account of financial frictions became apparent during the recent global financial crisis. As a result, the final essay incorporates a stylised banking sector into the benchmark DSGE model described above. The optimal response of the South African Reserve Bank to financial shocks is then analysed within the context of this structural model.
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Bazzazan, Fatemeh. "A dynamic input-output price model with application to Iran." Thesis, University of Liverpool, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250332.

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Krichel, Thomas. "Growth and fiscal policy in dynamic optimising models." Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/844562/.

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This PhD thesis considers the dynamics of fiscal policy in a two-country world when growth is driven by the accumulation of private capital and public infrastructure. I study permanent growth differentials, the dynamics of optimal and time-consistent policies, the issue of policy coordination, as well as the accumulation of debt.
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Books on the topic "ECONOMIC DYNAMICS MODEL"

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King, Robert G. Transitional dynamics and economic growth in the neoclassical model. National Bureau of Economic Research, 1989.

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Schmidt, Gordon W. Dynamics of endogenous economic growth: A case study of the "Romer model". Elsevier, 2003.

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Sampson, David B. Fishing technology and fleet dynamics: Predictions from a bio-economic model. Portsmouth Polytechnic, Centre for Marine Resource Economics, 1990.

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Burgess, Simon M. An economic model of household income dynamics, with an application to poverty dynamics among American women. London School of Economics and Political Science, Centre for Analysis of Social Exclusion, 1998.

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Yang, Zhou. Prescription drugs, medical care, and health outcomes: A model of elderly health dynamics. National Bureau of Economic Research, 2004.

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Magwada, Dominic. Afrika land reform model: Strategic leadership : land management change dynamics for Africa's prosperity and posterity : the case of Zimbabwe. ACP Project Consultants, 2020.

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Wernerheim, C. Michael. Bioeconomic dynamics of a natural resource: A capital-theoretic model for empirical analysis. Forest Economics and Policy Analysis Research Unit, University of B.C., 1987.

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Ndekwu, Eddy Chicka. Population dynamics and economic policy: A simulation model for analysing impact of macroeconomic policies on population in Nigeria. NISER, 1998.

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Luiz, John M. Temporal association, the dynamics of crime, and their economic determinants: A time series econometric model of South Africa. Econometric Research Southern Africa, 2000.

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Sonnenschein, Hugo F., ed. Models of Economic Dynamics. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-51645-0.

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Book chapters on the topic "ECONOMIC DYNAMICS MODEL"

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Matsumoto, Akio, and Ferenc Szidarovszky. "Delay Kaldor–Kalecki Model Revisited." In Essays in Economic Dynamics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1521-2_11.

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Raghavendra, Srinivas, and Petri T. Piiroinen. "The Cobweb Model." In An Introduction to Economic Dynamics. Routledge, 2023. http://dx.doi.org/10.4324/9780429324406-2.

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Raghavendra, Srinivas, and Petri T. Piiroinen. "Keynesian Multiplier Model." In An Introduction to Economic Dynamics. Routledge, 2023. http://dx.doi.org/10.4324/9780429324406-4.

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Zellner, Arnold. "The Marshallian Macroeconomic Model." In Economic Theory, Dynamics and Markets. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1677-4_2.

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Raghavendra, Srinivas, and Petri T. Piiroinen. "An Endogenous Growth Model." In An Introduction to Economic Dynamics. Routledge, 2023. http://dx.doi.org/10.4324/9780429324406-10.

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Raghavendra, Srinivas, and Petri T. Piiroinen. "The IS/LM Model." In An Introduction to Economic Dynamics. Routledge, 2023. http://dx.doi.org/10.4324/9780429324406-5.

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Levy, Robert G., Thomas P. Oléron Evans, and Alan Wilson. "A Global Inter-country Economic Model Based on Linked Input-Output Models." In Global Dynamics. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118937464.ch4.

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Raghavendra, Srinivas, and Petri T. Piiroinen. "The Solow-Swan Growth Model." In An Introduction to Economic Dynamics. Routledge, 2023. http://dx.doi.org/10.4324/9780429324406-9.

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Angelini, Natascia, Giacomo Bormetti, Stefano Marmi, and Franco Nardini. "A Stylized Model for Long-Run Index Return Dynamics." In Essays in Economic Dynamics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1521-2_7.

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Raghavendra, Srinivas, and Petri T. Piiroinen. "Expectation Dynamics in the Cobweb Model." In An Introduction to Economic Dynamics. Routledge, 2023. http://dx.doi.org/10.4324/9780429324406-3.

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Conference papers on the topic "ECONOMIC DYNAMICS MODEL"

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Nitcheva, Olga, Albena Vatralova, Donka Shopova, and Polya Dobreva. "INTEGRATED ANALYSIS OF SEAWATER INTRUSION DYNAMICS IN THE NORTHERN BLACK SEA COAST OF BULGARIA." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/3.2/s14.24.

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Managing water deficits in coastal areas presents significant challenges amid current climate fluctuations. This study examines the hydrological and water management factors contributing to seawater intrusion along the Bulgarian Black Sea coast. Utilizing data from field monitoring and hydrological model simulations, the research highlights the anthropogenic impacts shaped by the structure and dynamics of water supply. Findings reveal that rainfall levels in the Bulgarian Black Sea coastal region are below the national average. Coupled with excessive groundwater extraction for domestic purposes, this has led to seawater intrusion in the central and northern coastal areas. Over the past 50 years, marine intrusion processes in the area have remained inactive, primarily due to reduced economic and demographic activities following political changes in 1989. However, no significant improvements have been observed. Groundwater levels in the recharge zone, approximately 30 km inland, have risen by 1 meter, but no changes have been recorded in the marine intrusion zone. A decline in spring flow rates in coastal zones and continuous contamination of groundwater with chloride and sodium underscore the severity of the issue. The containment and mitigation of marine intrusion in Northeast Bulgaria require the implementation of unconventional methods. The persistence of this issue emphasizes the urgent need to explore alternative water sources and adopt specific water treatment methods.
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Čakanišin, Adrián, and Mária Halenárová. "Monte Carlo as a Method for Examining of Business Changes in Tourism in Slovakia." In 25th International Joint Conference Central and Eastern Europe in the Changing Business Environment. Vydavateľstvo EKONÓM, 2025. https://doi.org/10.53465/ceecbe.2025.9788022552257.50-63.

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The business environment in tourism encompasses a set of factors influencing the establishment, development, and sustainability of businesses in this sector, including economic, legislative, and market conditions. The dynamics of this environment are crucial for the economic stability of the sector. The main objective of this paper is to model the development of business establishments and closures in the tourism sector based on historical data and the influence of selected factors. The data used for this study were obtained from the Statistical Office of the Slovak Republic upon request. To achieve this objective, correlation and regression analysis were employed to examine relationships between economic variables, while a Monte Carlo simulation was used to predict future business activity trends. The results indicated that there are only moderately statistically significant relationships between economic factors and business establishment or closure. Domestic tourists' expenditures showed a weak positive correlation with business formation, whereas expenditures on inbound tourism had the opposite effect. The Monte Carlo simulation suggested that, assuming historical trends continue, the number of newly established businesses will stabilize at around 7,500 per year, while the number of closed businesses will be approximately 6,000 per year. Extreme scenarios demonstrated that economic fluctuations could lead to significant deviations, with the pessimistic scenario predicting a higher number of business closures and the optimistic scenario indicating a more favorable sectoral development.
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Sytov, Anatoly, and Orudzh Bayramov. "A Model of Economic Dynamics with Labor Resources." In 2022 15th International Conference Management of large-scale system development (MLSD). IEEE, 2022. http://dx.doi.org/10.1109/mlsd55143.2022.9934460.

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Wang, Yuxuan, Xiaolu Liu, and Xiao Liang. "Logistics cost control based on system dynamics in chain retail industry." In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00039.

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Chen, Lu, and Hanhui Hu. "Sustainable Management Strategy of China Medical City Based on System Dynamics Model." In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00022.

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Jiang, Zelei, Puchao Li, Huanhuan Ren, Bin Xu, and Wei Peng. "Economic Research on Passenger Vehicle Battery Rental Mode Based on System Dynamics Model." In Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China. EAI, 2024. http://dx.doi.org/10.4108/eai.27-10-2023.2341956.

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Li, Xiaoliang, and Hehe Liu. "Dynamics of an economic model of the electric power duopoly game." In Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), edited by Shi Jin and Wanyang Dai. SPIE, 2023. http://dx.doi.org/10.1117/12.2671802.

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Zhang, Yuan. "Research on Financial Support Effect in Resource-based Urban Transformation and Development Based on System Dynamics Model : Taking Tongchuan City as an example." In 2020 2nd International Conference on Economic Management and Model Engineering (ICEMME). IEEE, 2020. http://dx.doi.org/10.1109/icemme51517.2020.00081.

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Georgiev, Slavi G., and Lubin G. Vulkov. "Identification of COVID–19 dynamics and economic impact for a fractional SEIR model." In “TOPICAL ISSUES OF THERMOPHYSICS, ENERGETICS AND HYDROGASDYNAMICS IN THE ARCTIC CONDITIONS”: Dedicated to the 85th Birthday Anniversary of Professor E. A. Bondarev. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0101044.

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Zhang, Yi-xin. "Study on the Performance of Regional Economic Structure System by System Dynamics Model." In 2008 International Symposiums on Information Processing - ISIP 2008; 2008 International Pacific Workshop on Web Mining and Web-Based Application - WMWA 2008. IEEE, 2008. http://dx.doi.org/10.1109/isip.2008.75.

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Reports on the topic "ECONOMIC DYNAMICS MODEL"

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King, Robert, and Sergio Rebelo. Transitional Dynamics and Economic Growth in the Neoclassical Model. National Bureau of Economic Research, 1989. http://dx.doi.org/10.3386/w3185.

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Verbrugge, Randal J., and Saeed Zaman. Post-covid inflation dynamics: higher for longer. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202306r.

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We implement a novel nonlinear structural model featuring an empirically-successful frequency-dependent and asymmetric Phillips curve; unemployment frequency components interact with three components of core PCE – core goods, housing, and core services ex-housing – and a variable capturing supply shocks. Forecast tests verify model’s accuracy in its unemployment-inflation tradeoffs, crucial for monetary policy. Using this model, we assess the plausibility of the December 2022 Summary of Economic Projections (SEP). By 2025Q4, the SEP projects 2.1 percent inflation; however, conditional on the SEP unemployment path, we project inflation of 2.9 percent. A fairly deep recession delivers the SEP inflation path, but a simple welfare analysis rejects this outcome.
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Verbrugge, Randal J., and Saeed Zaman. Post-COVID Inflation Dynamics: Higher for Longer. Federal Reserve Bank of Cleveland, 2023. http://dx.doi.org/10.26509/frbc-wp-202306.

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In the December 2022 Summary of Economic Projections (SEP), the median projection for four-quarter core PCE inflation in the fourth quarter of 2025 is 2.1 percent. This same SEP has unemployment rising by nine-tenths, to 4.6 percent, by the end of 2023. We assess the plausibility of this projection using a specific nonlinear model that embeds an empirically successful nonlinear Phillips curve specification into a structural model, identifying it via an underutilized data-dependent method. We model core PCE inflation using three components that align with those noted by Chair Powell in his December 14, 2022, press conference: housing, core goods, and core-services-less-housing. Our model projects that conditional on the SEP unemployment rate path and a rapid deceleration of core goods prices, core PCE inflation moderates to only 2.75 percent by the end of 2025: inflation will be higher for longer. A deep recession would be necessary to achieve the SEP’s projected inflation path. A simple reduced-form welfare analysis, which abstracts from any danger of inflation expectations becoming unanchored, suggests that such a recession would not be optimal.
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Storm, Servaas. Tilting at Windmills: Bernanke and Blanchard’s Obsession with the Wage-Price Spiral. Institute for New Economic Thinking Working Paper Series, 2024. http://dx.doi.org/10.36687/inetwp220.

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Bernanke and Blanchard (2023) use a simple dynamic New Keynesian model of wage-price determination to explain the sharp acceleration in U.S. inflation during 2021-2023. They claim their model closely tracks the pandemic-era inflation and they confidently conclude that “… we don’t think that the recent experience justifies throwing out existing models of wage-price dynamics.” This paper argues that this confidence is misplaced. The Bernanke and Blanchard is another failed attempt to salvage establishment macroeconomics after the massive onslaught of adverse inflationary circumstances with which it could evidently not contend. It misrepresents American economic reality, hides distributional issues from view, de-politicizes (monetary and fiscal) policy-making, and sets monetary policymakers up to deliver significantly more monetary tightening than can be justified on the basis of more realistic model analyses
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Sanchez-Jabba, Andres, Erick Villabon-Hinestroza, and Bernardo Romero-Torres. Inflation Expectations Measurement and its Effect on Inflation Dynamics in Colombia. Banco de la República, 2023. http://dx.doi.org/10.32468/be.1257.

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Accurate measurement of inflation expectations is crucial due to its significant impact on inflation dynamics and the potential for biased estimates when using different measurement methods. The main objective of this study is to determine whether the effect of inflation expectations on inflation dynamics in Colombia depends on the measurement method employed. We achieve this by estimating New-Keynesian Phillips Curves using various measurement methods for inflation expectations employing data from financial markets, economic surveys, and macroeconomic models. Our analysis focuses on any differences in the statistical significance and magnitude of the effects of inflation expectations on inflation dynamics using different measurement methods. Our results reveal that while all measures of inflation expectations have a statistically significant effect, the magnitude of the effect varies depending on the measurement method employed. Specifically, market-based expectations have a more substantial effect on inflation dynamics compared to survey-based and model-based expectations.
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Hosein, Roger, and Jeetendra Khadan. Trade, Economic and Welfare Impacts of the CARICOM-Canada Free Trade Agreement. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0011767.

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This paper estimates the trade, revenue, and welfare effects of the proposedCaribbean Community (CARICOM)-Canada free trade agreement (FTA) on CARICOM countries using a partial equilibrium model. The welfare analysis also takes into account the Economic Partnership Agreement, which was signed in 2008 by the CARIFORUM (CARICOM and the Dominican Republic) countries and the European Union. The revealed comparative advantage index, trade complementarity index, and transition probability matrices are used to examine the dynamics of comparative advantage for CARICOM countries' exports to Canada. The results obtained from the partial equilibrium model indicate adverse revenue and welfare effects for CARICOM member states. The results from various trade indices used do not provide evidence to suggest that an FTA between CARICOM countries and Canada can improve trade outcomes.
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Hrymalyuk, A., P. Nesenenko, and T. Sukhova. Methodological principles of a systematic approach to economic and theoretical analysis of public management and administration in Ukraine. Odessa National Economic University, 2024. http://dx.doi.org/10.32680/pr.oneu.getep.2024.r1.

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The purpose of the publication is to combine the analysis of the legal form of public administration with the study of its internal economic content, associated with material production relations and objective economic laws inherent in them. The research methodology is based on the delineation of the structure and dynamics of the political and economic system, which is consistently carried out by the Odessa School of Economic Theory. The practical significance of the results of the analysis is associated with the justification of the objective necessity for Ukraine of a state-capitalist model of managed development, in which public administration is aimed at the conscious use of objective economic laws for the development of productive forces. The publication is intended for scientists, teachers, higher education students of all levels of specialization 281 "Public Management and Administration" and 051 "Economics", civil servants, local government officials, practicing economists and all those who are interested in the problems of managing the national economy.
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Соловйов, В. М., В. В. Соловйова та Д. М. Чабаненко. Динаміка параметрів α-стійкого процесу Леві для розподілів прибутковостей фінансових часових рядів. ФО-П Ткачук О. В., 2014. http://dx.doi.org/10.31812/0564/1336.

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Modem market economy of any country cannot successfully behave without the existence of the effective financial market. In the conditions of growing financial market, it is necessary to use modern risk-management methods, which take non-gaussian distributions into consideration. It is known, that financial and economic time series return’s distributions demonstrate so-called «heavy tails», which interrupts the modeling o f these processes with classical statistical methods. One o f the models, that is able to describe processes with «heavy tails», are the а -stable Levi processes. They can slightly simulate the dynamics of the asset prices, because it consists o f two components: the Brownian motion component and jump component. In the current work the usage of model parameters estimation procedure is proposed, which is based on the characteristic functions and is applied for the moving window for the purpose of financial-economic system’ s state monitoring.
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Alloza, Mario, Jorge Martínez, Juan Rojas, and Iacopo Varotto. Public debt dynamics: a stochastic approach applied to Spain. Banco de España, 2024. http://dx.doi.org/10.53479/36693.

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This paper presents a methodology for analysing public debt sustainability that incorporates factors that enable uncertainty in the macro-financial environment to be quantified. The aim is to identify risks, not only under specific assumptions, but also considering a complete characterisation of potential developments in the real economy and in financing costs, based on the historical evidence available. To this end, stochastic shocks are included in the equations for a standard debt sustainability analysis (DSA) model, using recent evidence to gauge their scale and recurrence. When applied to Spain, the results suggest that uncertainty over the macro-financial environment and the growing pressure of the costs of ageing pose a challenge for the sustainability of our public finances. Specifically, in the absence of new fiscal consolidation measures, it is estimated that the probability of public debt in Spain being above 100% of GDP in 2040 is 80%. However, in a scenario characterised by a consolidation policy consistent with the new European economic governance framework, that probability would drop to 20%.
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Kennedy, Meaghan, Michaela Bonnett, and Teri Garstka. A Model for Technology-Enabled Community Resilience. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/plcr9111.

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Introduction Tech-Enabled Community Resilience is an innovative model designed to enhance resilience and optimize impact in complex systems such as communities and ecosystems. The model leverages social network analysis and technology to visualize network dynamics, measure interactions, and implement targeted interventions. Model Structure The approach consists of two key stages: a Startup Phase focused on assembling champions and co-creating a shared vision, and a Steady-state Phase involving iterative measurement and intervention. By utilizing technology platforms for data collection and visualization, the model provides near real-time understanding of network functioning. Advantages Over Traditional Approaches Traditional resource mapping approaches provide a limited understanding of the network based on a static understanding of resources and a lack of complexity about network function. The Tech-Enabled Community Resilience model provides for a more dynamic, systems-thinking perspective. The model allows for precision interventions based on network structure, potentially influencing community-level outcomes. Case Studies and Research Findings Case studies from social care networks and economic development initiatives demonstrate the model's applicability across various contexts. Research findings linking network cohesion to improved community outcomes during crises, and network structure to increased innovation in ecosystems, underscore the model's potential impact. Future Directions Further model refinement includes the development of a portfolio of network-based interventions, integration of real-time data sources, and strategies for adaptive governance structures. This model represents a significant advancement in how to understand and harness complex systems for community resilience and impact optimization.
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