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Journal articles on the topic 'General equilibrium modeling'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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1

Jorgenson, Dale W. "Econometric general equilibrium modeling." Journal of Policy Modeling 38, no. 3 (2016): 436–47. http://dx.doi.org/10.1016/j.jpolmod.2016.02.004.

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2

Milner, Chris, T. N. Srinivasan, and John Whalley. "General Equilibrium Trade Policy Modeling." Economic Journal 97, no. 386 (1987): 508. http://dx.doi.org/10.2307/2232899.

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3

Bröcker, Johannes. "Operational spatial computable general equilibrium modeling." Annals of Regional Science 32, no. 3 (1998): 367–87. http://dx.doi.org/10.1007/s001680050079.

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4

Trinh, Truong Hong. "GENERAL EQUILIBRIUM MODELING FOR ECONOMIC POLICY ANALYSIS." International Journal of Economics and Financial Issues 9, no. 4 (2019): 25–36. http://dx.doi.org/10.32479/ijefi.8164.

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5

Tower, Edward, Lars Bergman, Dale W. Jorgenson, and Erno Zalai. "General Equilibrium Modeling and Economic Policy Analysis." Southern Economic Journal 58, no. 3 (1992): 851. http://dx.doi.org/10.2307/1059870.

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6

Dahani, Khawla, and Rajae Aboulaich. "Dynamic Stochastic General Equilibrium model for the Islamic economy." Investment Management and Financial Innovations 15, no. 3 (2018): 370–82. http://dx.doi.org/10.21511/imfi.15(3).2018.30.

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This article is concerned with the debate around the economic knowledge evolution and the role of ethics in economy. It reports on the 2008 crisis, the research literature reveals two main problems: the efficiency of the economic modeling and the failure of the ethical system.The authors explore the use of the new Dynamic Stochastic General Equilibrium “DSGE” model in the case of Islamic economy, it can enable to develop a new approach, taking into account the criticism of the models used before the crisis, and giving more importance to the ethical principles.The question is to know if the principles of Islamic economy feed into a sustainable economic system.The characteristic of this model lies in the consideration of Islamic principles, namely the abolition of interest rates and their replacement by the rate of return of the capital. In this perspective, it is supposed that the intervention of the monetary authorities is done by an unconventional approach. The model also distinguishes itself by the integration of Zakat. The model is applied in the case of Morocco.The results of simulations show that the introduction of these Islamic principles has no negative effects on the macroeconomic and financial conditions of Morocco and that the stability of the economic system is maintained.

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7

., Al-Amin, Chamhuri Siwar, and Abdul Hamid. "Computable General Equilibrium Techniques for Carbon Tax Modeling." American Journal of Environmental Sciences 5, no. 3 (2009): 330–40. http://dx.doi.org/10.3844/ajessp.2009.330.340.

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8

Conrad, Klaus. "Applied general equilibrium modeling for environmental policy analysis." Annals of Operations Research 54, no. 1 (1994): 129–42. http://dx.doi.org/10.1007/bf02031731.

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9

STRONG, AARON, and MATTHEW E. OLIVER. "GENERAL EQUILIBRIUM ECOSYSTEM MODELING WITH ALTERNATIVE PREFERENCE SPECIFICATIONS." Natural Resource Modeling 27, no. 2 (2013): 197–215. http://dx.doi.org/10.1111/nrm.12030.

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10

Jorgenson, Dale W., and Peter J. Wilcoxen. "Intertemporal general equilibrium modeling of U.S. environmental regulation." Journal of Policy Modeling 12, no. 4 (1990): 715–44. http://dx.doi.org/10.1016/0161-8938(90)90006-z.

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11

Schieber, Jay D., and Markus Hütter. "Multiscale modeling beyond equilibrium." Physics Today 73, no. 3 (2020): 36–42. http://dx.doi.org/10.1063/pt.3.4430.

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12

Codsi, G., and K. R. Pearson. "General-Purpose Software for Applied General Equilibrium and other Economic Modeling." Social Science Computer Review 7, no. 1 (1989): 77–80. http://dx.doi.org/10.1177/089443938900700112.

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13

Peng, Mei, Xing He, Junjian Huang, and Tao Dong. "Modeling Computer Virus and Its Dynamics." Mathematical Problems in Engineering 2013 (2013): 1–5. http://dx.doi.org/10.1155/2013/842614.

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Based on that the computer will be infected by infected computer and exposed computer, and some of the computers which are in suscepitible status and exposed status can get immunity by antivirus ability, a novel coumputer virus model is established. The dynamic behaviors of this model are investigated. First, the basic reproduction numberR0, which is a threshold of the computer virus spreading in internet, is determined. Second, this model has a virus-free equilibriumP0, which means that the infected part of the computer disappears, and the virus dies out, andP0is a globally asymptotically stable equilibrium ifR0<1. Third, ifR0>1then this model has only one viral equilibriumP*, which means that the computer persists at a constant endemic level, andP*is also globally asymptotically stable. Finally, some numerical examples are given to demonstrate the analytical results.

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14

Tapia-Ahumada, Karen, Claudia Octaviano, Sebastian Rausch, and Ignacio Pérez-Arriaga. "Modeling intermittent renewable electricity technologies in general equilibrium models." Economic Modelling 51 (December 2015): 242–62. http://dx.doi.org/10.1016/j.econmod.2015.08.004.

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15

Bergman, Lars. "Energy Policy Modeling: A survey of general equilibrium approaches." Journal of Policy Modeling 10, no. 3 (1988): 377–99. http://dx.doi.org/10.1016/0161-8938(88)90028-2.

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16

Bartholow, Martin. "Modeling Dynamic Equilibrium with Coins." Journal of Chemical Education 83, no. 1 (2006): 48A. http://dx.doi.org/10.1021/ed083p48a.

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17

Pérez Oviedo, Wilson. "Equilibrios múltiples, modelización macroeconómica y subdesarrollo. Multiple equilibrium, macroeconomic modeling and underdevelopment." Retos 3, no. 6 (2013): 198–210. http://dx.doi.org/10.17163/ret.n6.2013.06.

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Se realiza un análisis del concepto de Equilibrio General, sus limitaciones, potencialidades y malinterpretaciones. Se aclara la diferencia entre equilibrio estructural y equilibrio dinámico, reflexionando sobre las connotaciones sociales y éticas de estos conceptos. Se argumenta que la idea de equilibrios múltiples es muy útil para modelar la macroeconomía de un país subdesarrollado y para reflexionar sobre la pertinencia y alcance de las políticas necesarias para salir de las trampas de pobreza-subdesarrollo. Se analizan las críticas a los Modelos de Equilibro General, clasificándolas en válidas y no válidas, con el objeto de aclarar los elementos metodológicos que se pueden rescatar en busca de una modelización macroeconómica más realista.

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18

Athithan, S., Mini Ghosh, and Xue-Zhi Li. "Mathematical modeling and optimal control of corruption dynamics." Asian-European Journal of Mathematics 11, no. 06 (2018): 1850090. http://dx.doi.org/10.1142/s1793557118500900.

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The problem of corruption is of serious concern in all the nations, more so in the developing countries. This paper presents the formulation of a corruption control model and its analysis using the theory of differential equations. We found the equilibria of the model and stability of these equilibria are discussed in detail. The threshold quantity [Formula: see text] which has a similar implication here as in the epidemiological modeling is obtained for the present model. The corruption free equilibrium is found to be stable when [Formula: see text] is less than [Formula: see text] and unstable for [Formula: see text]. The endemic equilibrium which signifies the presence of corrupted individuals in the society exists only when [Formula: see text]. This equilibrium point is locally asymptotically stable whenever it exists. We perform extensive numerical simulations to support the analytical findings. Furthermore, we extend the model to include optimal control and the optimal control profile is obtained to get the maximum control within a stipulated period of time. Our presented results show that the level of corruption in the society can be reduced if corruption control efforts through media/punishments etc. are increased and put in place.

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19

KOIKE, Atsushi, Keisuke SATO, and Takashi UKON. "Computable General Equilibrium Modeling for Evaluation of Regional Industrial Policy." INFRASTRUCTURE PLANNING REVIEW 21 (2004): 217–24. http://dx.doi.org/10.2208/journalip.21.217.

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20

AKAMATSU, Takashi, Masaki HANDA, and Takeshi NAGAE. "Variational Inequality Approach to Multi-Regional Computable General Equilibrium Modeling." INFRASTRUCTURE PLANNING REVIEW 15 (1998): 175–85. http://dx.doi.org/10.2208/journalip.15.175.

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21

Partridge, Mark D., and Dan S. Rickman. "Regional Computable General Equilibrium Modeling: A Survey and Critical Appraisal." International Regional Science Review 21, no. 3 (1998): 205–48. http://dx.doi.org/10.1177/016001769802100301.

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22

Keuschnigg, Christian, and Wilhelm Kohler. "Modeling intertemporal general equilibrium: An application to Austrian commercial policy." Empirical Economics 19, no. 1 (1994): 131–64. http://dx.doi.org/10.1007/bf01205731.

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23

Nagurney, A., and S. Siokos. "Variational inequalities for international general financial equilibrium modeling and computation." Mathematical and Computer Modelling 25, no. 1 (1997): 31–49. http://dx.doi.org/10.1016/s0895-7177(96)00183-5.

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24

Bianchi, Francesco, and Leonardo Melosi. "MODELING THE EVOLUTION OF EXPECTATIONS AND UNCERTAINTY IN GENERAL EQUILIBRIUM." International Economic Review 57, no. 2 (2016): 717–56. http://dx.doi.org/10.1111/iere.12174.

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25

Nagurney, Anna, and June Dong. "General financial equilibrium modeling with policy interventions and transaction costs." Computational Economics 9, no. 1 (1996): 3–17. http://dx.doi.org/10.1007/bf00115688.

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26

Zhang, Peng, Hao Yue, Xu Zhang, Chunfu Shao, and Wencan Gao. "Modeling the Equilibrium Road Network Capacity." IEEE Access 7 (2019): 168029–47. http://dx.doi.org/10.1109/access.2019.2946977.

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27

Guriev, Sergei, and Igor Pospelov. "Inefficient equilibria in transition economy." Discrete Dynamics in Nature and Society 3, no. 4 (1999): 281–95. http://dx.doi.org/10.1155/s1026022699000308.

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The paper studies a general equilibrium in an economy where all market participants face a bid-ask spread. The spread may be caused by indirect business taxes, middlemen rent-seeking, delays in payments or liquidity constraints or price uncertainty. Wherever it comes from the spread causes inefficiency of the market equilibrium. We discuss some institutions that can decrease the inefficiency. One is second currency (barter exchange) in the inter-firm transactions. It is shown that the general equilibrium in an economy with second currency is effective though is still different from Arrow–Debreu equilibrium. Another solution can be introduction of mutual trade credit. In the economy with trade credit there are multiple equilibria that are more efficient than original bid-ask spread but still not as efficient as Arrow–Debreu one, too. The implications for firms' integration and applicability to Russian economy are discussed.The paper generalizes some results obtained of research work that has been done in the Department of Mathematical Modeling of Economic Systems of Computing Center, Russian Academy of Science under Academician Petrov over last few years (Petrovet al., 1996,essays on Mathematical Modelling of Economy:Energoatomizdat.) We have successfully used some models of inefficient equilibrium in several applied projects.

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28

Cardinaux, F., A. Stradner, P. Schurtenberger, F. Sciortino, and E. Zaccarelli. "Modeling equilibrium clusters in lysozyme solutions." Europhysics Letters (EPL) 77, no. 4 (2007): 48004. http://dx.doi.org/10.1209/0295-5075/77/48004.

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29

MIYAGI, Toshihiko, and Kenichi HONBU. "Spatial Computable General Equilibrium Aproach to Generalized Land Use/Transportation Modeling." Studies in Regional Science 25, no. 1 (1994): 131–46. http://dx.doi.org/10.2457/srs.25.131.

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30

MIYAGI, Toshihiko, Kenichi HONBU, and Keisuke INOUE. "Modeling of Trade coefficients in Multi-regional Computable General Equilibrium Model." INFRASTRUCTURE PLANNING REVIEW 15 (1998): 93–100. http://dx.doi.org/10.2208/journalip.15.93.

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31

SEGI, Shunsuke, Masato YAMAZAKI, Tomoki ISHIKURA, and Atsushi KOIKE. "CONSIDERATION OF MODELING FREIGHT TRANSPORTATION COST IN COMPUTABLE GENERAL EQUILIBRIUM FRAMEWORK." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 76, no. 2 (2020): 72–90. http://dx.doi.org/10.2208/jscejipm.76.2_72.

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32

Weyant, John P. "General Economic Equilibrium as a Unifying Concept in Energy-Economic Modeling." Management Science 31, no. 5 (1985): 548–63. http://dx.doi.org/10.1287/mnsc.31.5.548.

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33

Trinh, Truong Hong, and Nguyen Manh Toan. "A SAM framework for general equilibrium modeling and economic policy analysis." Cogent Economics & Finance 8, no. 1 (2020): 1829802. http://dx.doi.org/10.1080/23322039.2020.1829802.

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34

Conrad, Klaus, and Iris Henseler-Unger. "Applied general equilibrium modeling for long-term energy policy in Germany." Journal of Policy Modeling 8, no. 4 (1986): 531–49. http://dx.doi.org/10.1016/0161-8938(86)90011-6.

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35

Haaland, Jan I. "Modeling general equilibrium in a small, open economy: A Norwegian example." Journal of Policy Modeling 13, no. 4 (1991): 571–94. http://dx.doi.org/10.1016/0161-8938(91)90032-t.

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36

Konan, Demise Eby, and Karl Kim. "Transportation and Tourism in Hawaii: Computable General Equilibrium Model." Transportation Research Record: Journal of the Transportation Research Board 1839, no. 1 (2003): 142–49. http://dx.doi.org/10.3141/1839-16.

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Using data from the state of Hawaii input-output (I-O) table, the economic impact of the transportation sector in Hawaii was described, modeled, and forecast under a number of alternative scenarios. Transportation is compared with the key economic sectors in the state in output, exports, household consumption, visitor spending, number of employees, and compensation of employees. Next, the overall transportation sector was disaggregated into key activities and functions to present a more complete picture of the important role of transportation in Hawaii. A computable general equilibrium (CGE) model of the economy with a special focus on transportation is developed. Because tourism is the state's leading sector, the effects of both an increase and a decrease in visitor expenditures were modeled. Both measuring the economic importance of transportation in Hawaii and estimating probable consequences of potential economic changes are of interest. The visitor industry dominates Hawaii's economy, with small increases in visitor expenditures contributing significantly to the gross state product. Transportation industries, along with restaurant and accommodation services, account for a disproportionately large share of this growth. Key residential transportation sectors (transit and motor vehicles) contract in response to cost increases generated by a growth in visitor demand. The use of the I-O table and CGE modeling provides a useful analytical and planning tool for evaluating economic scenarios within a region such as Hawaii. The increased availability of both data sets and new modeling techniques offers opportunities to planners, engineers, and transportation policy makers.

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37

Farrow, Scott, and Adam Rose. "Welfare Analysis: Bridging the Partial and General Equilibrium Divide for Policy Analysis." Journal of Benefit-Cost Analysis 9, no. 1 (2018): 67–83. http://dx.doi.org/10.1017/bca.2017.29.

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Advances in theoretical and computable general equilibrium modeling brought their conceptual foundations more in line with standard microeconomic constructs. This reduced the theoretical gap between welfare measurements using a partial or a general equilibrium approach. However, the separation of the partial and general equilibrium literatures lingers in many applications that this manuscript seeks to bridge. The now shared conceptual foundations, the importance of functional specification, the role of common price movements and closure rules are discussed. The continuing stricture in U.S. Government guidelines against including secondary effects in welfare measures is questioned.

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38

Balomenos, Efthymios, Dimitrios Panias, and Ioannis Paspaliaris. "MODELING CHEMICAL EQUILIBRIUM OF ELECTROLYTE SOLUTIONS." Mineral Processing and Extractive Metallurgy Review 27, no. 1 (2006): 1–60. http://dx.doi.org/10.1080/08827500500339299.

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39

Wang, Lei. "Error Estimation for a Economic Equilibrium Modeling." Advanced Materials Research 267 (June 2011): 350–55. http://dx.doi.org/10.4028/www.scientific.net/amr.267.350.

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In this paper, the global error estimation for the generalized linear complementarity problem in economic equilibrium modeling(GLCP) is established. The result obtained in this paper can be viewed as extensions of previously known results.

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40

Filipski, Mateusz, Anubhab Gupta, Justin Kagin, et al. "A local general‐equilibrium emergency response modeling approach for sub‐Saharan Africa." Agricultural Economics 53, no. 1 (2021): 72–89. http://dx.doi.org/10.1111/agec.12687.

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41

Liu, Yen, Marco Panesi, Amal Sahai, and Marcel Vinokur. "General multi-group macroscopic modeling for thermo-chemical non-equilibrium gas mixtures." Journal of Chemical Physics 142, no. 13 (2015): 134109. http://dx.doi.org/10.1063/1.4915926.

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42

Dixon, Peter B. "Trade Policy in Australia and the Development of Computable General Equilibrium Modeling." Journal of Economic Integration 23, no. 3 (2008): 605–30. http://dx.doi.org/10.11130/jei.2008.23.3.605.

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43

Dreisewerd, Björn, Juliane Merz, and Gerhard Schembecker. "Modeling the Quasi-Equilibrium of Multistage Phytoextractions." Industrial & Engineering Chemistry Research 55, no. 6 (2016): 1808–12. http://dx.doi.org/10.1021/acs.iecr.5b04506.

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44

MALVIYA, ALOK, and MANINDER SINGH ARORA. "Mathematical Modeling of Impact of Pollutants on Industries Based on Resource Biomass." Journal of Ultra Scientist of Physical Sciences Section A 33, no. 8 (2021): 94–105. http://dx.doi.org/10.22147/jusps-a/330801.

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Depletion of resources such as forestry, minerals etc. and resource-based industries such as wood and paper etc., due to rising pollution, is one of the biggest challenges which the humankind is facing today. In this paper, a mathematical model has been designed to give an insight into the effect of pollutants on natural resources which in turn affects the growth and stability of industries dependent on such biomass. The model is analyzed using stability theory of differential equations. Five dependent variables are considered in the model and some important assumptions are made. Two equilibria are found in the equilibrium analysis and conditions of local and global stability of interior equilibrium are obtained. Numerical simulation is also done to demonstrate the analytical findings. It is found in the study that as we impose an environmental tax on the polluters, the concentration of pollutants in the environment is controlled and the stable equilibrium shifts in such a way that the densities of resource biomass and dependent industries are close to the densities which correspond to the pollution free ecosystem.

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45

Wang, Shu, Zhan Ma, and Wenxiao Pan. "Data-driven coarse-grained modeling of non-equilibrium systems." Soft Matter 17, no. 26 (2021): 6404–12. http://dx.doi.org/10.1039/d1sm00413a.

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The present work concerns non-equilibrium systems and enables accurate and efficient CG modeling that preserves non-equilibrium dynamics and is generally applicable to any non-equilibrium process and any observable of interest.

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46

Sabetta, F., B. Favini, and M. Onofri. "Equilibrium and nonequilibrium modeling of hypersonic inviscid flows." Computers & Fluids 22, no. 2-3 (1993): 369–80. http://dx.doi.org/10.1016/0045-7930(93)90066-i.

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47

Khan, Shadman H., Anupama Kumari, G. Dixit, Chandrajit B. Majumder, and Amit Arora. "Thermodynamic modeling and correlations of CH4, C2H6, CO2, H2S, and N2 hydrates with cage occupancies." Journal of Petroleum Exploration and Production Technology 10, no. 8 (2020): 3689–709. http://dx.doi.org/10.1007/s13202-020-00998-y.

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Abstract The present work focuses on developing a framework for accurate prediction of thermodynamic conditions for single-component hydrates, namely CH4, CO2, N2, H2S, and C2H6 (coded in MATLAB). For this purpose, an exhaustive approach is adopted by incorporating eight different equations of states, namely Peng–Robinson, van der Waals, Soave–Redlich–Kwong, Virial, Redlich–Kwong, Tsai-Teja, Patel, and Esmaeilzadeh–Roshanfekr, with the well-known van der Waals–Platteeuw model. Overall, for I–H–V phase region, the Virial and van der Waals equation of state gives the most accurate predictions with minimum AAD%. For Lw–H–V phase region, Peng–Robinson equation of state is found to yield the most accurate predictions with overall AAD of 3.36%. Also, genetic programming algorithm is adopted to develop a generalized correlation. Overall, the correlation yields quick estimation with an average deviation of less than 1%. The accurate estimation yields a minimal AAD of 0.32% for CH4, 1.93% for C2H6, 0.77% for CO2, 0.64% for H2S, and 0.72% for N2. The same correlation can be employed for fitting phase equilibrium data for other hydrates too. The tuning parameter, n, is to be used for fine adjustment to the phase equilibrium data. The findings of this study can help for a better understanding of phase equilibrium and cage occupancy behavior of different gas hydrates. The accuracy in phase equilibria is intimately related to industrial applications such as crude oil transportation, solid separation, and gas storage. To date, no single correlation is available in the literature that can accurately predict phase equilibria for multiple hydrate species. The novelty of the present work lies in both the accuracy and generalizability of the proposed correlation in predicting the phase equilibrium data. The genetic programming generalized correlation is convenient for performing quick equilibrium prediction for industrial applications.

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48

Hand, D. W., A. N. Ali, J. L. Bulloch, M. L. DeBraske, J. C. Crittenden, and D. R. Hokanson. "Adsorption Equilibrium Modeling of Space Station Wastewaters." Journal of Environmental Engineering 125, no. 6 (1999): 540–47. http://dx.doi.org/10.1061/(asce)0733-9372(1999)125:6(540).

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49

Qi, Nan, and M. Douglas LeVan. "Adsorption equilibrium modeling for water on activated carbons." Carbon 43, no. 11 (2005): 2258–63. http://dx.doi.org/10.1016/j.carbon.2005.03.040.

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50

Babu, Sujatha, Usha Mohan, and Tiru Arthanari. "Modeling Coopetition as a Quantum Game." International Game Theory Review 22, no. 02 (2020): 2040001. http://dx.doi.org/10.1142/s0219198920400010.

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Coopetition is defined as the existence of simultaneous competition and cooperation between the same set of players, leading to entanglement of payoffs and actions of the players. This paper provides insights into the game theoretical application of quantum games to model simultaneity and entanglement that occur in coopetition. Modeling as a quantum game also allows for a larger action space and hence new equilibrium that may not have existed earlier. The impact of the level of entanglement on the equilibrium of the game can also be studied. We demonstrate the same through an example of two players who currently compete in the domestic market and are considering cooperating simultaneously in the international market. They need to determine the equilibrium strategy to adopt under coopetition that maximizes their payoffs. We also arrive at how to ensure that the quantum strategy is the equilibrium strategy for both players, namely, how to design the quantum strategy and how to define the unitary operator.

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