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Journal articles on the topic 'Computable general equilibrium'

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Published: 4 June 2021
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1

Fullerton, Don. "Computable General Equilibrium Models." Social Science Computer Review 8, no. 4 (December 1990): 516–19. http://dx.doi.org/10.1177/089443939000800404.

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2

Börstinghaus, Volker, and Georg Hirte. "Generational Accounting versus Computable General Equilibrium." FinanzArchiv 58, no. 3 (2002): 227. http://dx.doi.org/10.1628/0015221022905894.

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3

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

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4

Kubler, Felix. "Computable general equilibrium with financial markets." Economic Theory 18, no. 1 (July 2001): 73–96. http://dx.doi.org/10.1007/pl00004136.

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5

Díaz-Giménez, Javier, Edward C. Prescott, Terry Fitzgerald, and Fernando Alvarez. "Banking in computable general equilibrium economies." Journal of Economic Dynamics and Control 16, no. 3-4 (July 1992): 533–59. http://dx.doi.org/10.1016/0165-1889(92)90048-j.

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6

O. Odior, Ernest Simeon, and Sabastine Arinze. "THE CONCEPT OF COMPUTABLE GENERAL EQUILIBRIUM MODELS." International Journal of Research in Commerce and Management Studies 04, no. 02 (2022): 01–18. http://dx.doi.org/10.38193/ijrcms.2022.4201.

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This paper contributes to the existing literature on the general concept on use of the Computable general equilibrium (CGE) models of importance in developing processes. Computable general equilibrium (CGE) models are used widely in policy analysis, especially in developed-country academic settings and also for the purpose of sharing these lessons with potential users in developing countries. The range of issues on which CGE models have had an influence is quite wide, and includes structural adjustment policies, international trade, public finance, agriculture, income distribution, and energy and environmental policy. This paper describes how to build multi sector computable general equilibrium models for policy analysis. The article presents the social accounting matrix (SAM) that provides the conceptual framework linking together different components of the model and furnishes much of the data as well.
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7

Taheripour, Farzad, Xin Zhao, Mark Horridge, Farid Farrokhi, and Wallace Tyner. "Land use in computable general equilibrium models." Journal of Global Economic Analysis 5, no. 2 (December 14, 2020): 63–109. http://dx.doi.org/10.21642/jgea.050202af.

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8

KOIKE, Atsushi, Yoshifumi ISHIKAWA, Takayuki UEDA, and Mitsugu KOUNO. "Computable General Equilibrium Model for Urban Area." INFRASTRUCTURE PLANNING REVIEW 20 (2003): 79–85. http://dx.doi.org/10.2208/journalip.20.79.

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9

Ghaith, Ziad, Suren Kulshreshtha, David Natcher, and Bobby Thomas Cameron. "Regional Computable General Equilibrium models: A review." Journal of Policy Modeling 43, no. 3 (May 2021): 710–24. http://dx.doi.org/10.1016/j.jpolmod.2021.03.005.

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10

Sangeetha, P., and M. Chinnadurai. "Intersectoral Linkage by Computable General Equilibrium Approach." International Journal of Current Microbiology and Applied Sciences 7, no. 12 (December 10, 2018): 767–76. http://dx.doi.org/10.20546/ijcmas.2018.712.095.

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11

Kilkenny, Maureen. "Explicitly Spatial Rural‐Urban Computable General Equilibrium." American Journal of Agricultural Economics 81, no. 3 (August 1999): 647–52. http://dx.doi.org/10.2307/1244029.

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12

Škare, Marinko, and Saša Stjepanovič. "Computable General Equilibrium Model for Croatian Economy." Economic Research-Ekonomska Istraživanja 24, no. 2 (January 2011): 44–59. http://dx.doi.org/10.1080/1331677x.2011.11517454.

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13

Gottinger, Hans W. "Greenhouse Gas Economics and Computable General Equilibrium." Journal of Policy Modeling 20, no. 5 (October 1998): 537–80. http://dx.doi.org/10.1016/s0161-8938(97)00074-4.

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14

Kis, P., S. Robinson, and L. D. Tyson. "Computable General Equilibrium Models for Socialist Economies." IFAC Proceedings Volumes 19, no. 10 (June 1986): 81–86. http://dx.doi.org/10.1016/s1474-6670(17)59646-9.

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15

Velupillai, K. Vela. "Algorithmic foundations of computable general equilibrium theory." Applied Mathematics and Computation 179, no. 1 (August 2006): 360–69. http://dx.doi.org/10.1016/j.amc.2005.11.113.

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16

Robinson, Sherman, and David W. Roland-Holst. "Macroeconomic structure and computable general equilibrium models." Journal of Policy Modeling 10, no. 3 (September 1988): 353–75. http://dx.doi.org/10.1016/0161-8938(88)90027-0.

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17

., Al-Amin, Chamhuri Siwar, and Abdul Hamid. "Computable General Equilibrium Techniques for Carbon Tax Modeling." American Journal of Environmental Sciences 5, no. 3 (March 1, 2009): 330–40. http://dx.doi.org/10.3844/ajessp.2009.330.340.

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18

Altig, David E., Charles T. Carlstrom, and Kevin J. Lansing. "Computable General Equilibrium Models and Monetary Policy Advice." Journal of Money, Credit and Banking 27, no. 4 (November 1995): 1472. http://dx.doi.org/10.2307/2078065.

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19

Grassini, Maurizio. "Rowing along the computable general equilibrium modelling mainstream." Studies on Russian Economic Development 20, no. 2 (March 2009): 134–46. http://dx.doi.org/10.1134/s1075700709020026.

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20

Rose, Adam. "Input-output economics and computable general equilibrium models." Structural Change and Economic Dynamics 6, no. 3 (August 1995): 295–304. http://dx.doi.org/10.1016/0954-349x(95)00018-i.

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21

Robinson, Sherman. "Macroeconomics, financial variables, and computable general equilibrium models." World Development 19, no. 11 (November 1991): 1509–25. http://dx.doi.org/10.1016/0305-750x(91)90003-z.

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22

McGregor, Peter G., Mark D. Partridge, and Dan S. Rickman. "Innovations in Regional Computable General Equilibrium (CGE) Modelling." Regional Studies 44, no. 10 (November 19, 2010): 1307–10. http://dx.doi.org/10.1080/00343404.2010.530889.

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23

Piazolo, Daniel. "Representing transition countries with computable general equilibrium models." International Advances in Economic Research 5, no. 2 (May 1999): 270. http://dx.doi.org/10.1007/bf02295083.

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24

Shahrokhi Shahraki, Hamed, and Chris Bachmann. "Designing computable general equilibrium models for transportation applications." Transport Reviews 38, no. 6 (January 25, 2018): 737–64. http://dx.doi.org/10.1080/01441647.2018.1426651.

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25

Nechyba, Thomas. "A computable general equilibrium model of intergovernmental aid." Journal of Public Economics 62, no. 3 (November 1996): 363–97. http://dx.doi.org/10.1016/0047-2727(95)01565-5.

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26

Das, Koushik, and Pinaki Chakraborti. "General Equilibrium Analysis of Strategic Trade: A Computable General Equilibrium Model for India." IIM Kozhikode Society & Management Review 3, no. 2 (July 2014): 165–81. http://dx.doi.org/10.1177/2277975214542060.

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27

Vela Velupillai, K. "Seven Kinds of Computable and Constructive Infelicities in Economics." New Mathematics and Natural Computation 12, no. 03 (October 5, 2016): 219–39. http://dx.doi.org/10.1142/s1793005716500150.

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At least seven kinds of misconceptions about constructive and computable mathematics prevail in economics. In this paper, the infelicitous claims of computable or constructive frameworks for the excess demand functions of microeconomics, constructive general equilibrium theory and computable general equilibrium modeling, agent-based economics, search theory, game theory, index number theory and Neo Ricardian economics and the fundamental theorems of welfare economics are considered. The claims are shown to be misleading from the point of view of formal computability theory or constructive mathematics (especially but not only when based on Brouwerian Intuitionistic Logic).
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28

ADAMS, PHILIP D., and PETER J. HIGGS. "Calibration of Computable General Equilibrium Models from Synthetic Benchmark Equilibrium Data Sets." Economic Record 66, no. 2 (June 1990): 110–26. http://dx.doi.org/10.1111/j.1475-4932.1990.tb01712.x.

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29

Kitetu, Geoffrey Musyoki, Jong-Hwan Ko, and Esambe Sone. "A Korea-Kenya Free Trade Agreement and Its Economic Impact: A Computable General Equilibrium Approach." Korea International Trade Research Institute 19, no. 1 (February 28, 2023): 1–22. http://dx.doi.org/10.16980/jitc.19.1.202302.1.

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Purpose – This study assesses the impact of a potential Korea-Kenya FTA on the global economy, which includes the US, EU, UK, China, and Japan, using the Global Trade Analysis Project (GTAP) model. Design/Methodology/Approach – The study employs a static global multi-sector CGE model using the GTAP database version 10 with the base year of 2014. For this study, we aggregate the 141 regions and 65 sectors of the GTAP database into 16 regions and 57 sectors. Four policy simulations were implemented based on tariffs and ad valorem equivalents (AVEs) of non-tariff measures (NTMs) estimated by Kitetu and Ko Jong-Hwan (2021). Findings – Simulation results suggest that the real GDP of Korea will likely increase by 0.001% to 0.002%, with welfare increasing by US$1.8 million to US$74.7 million. In comparison, the real GDP of Kenya will likely rise by 0.003% to 0.045%, while welfare will rise by US$1.8 million to US$ 75.3 million. Imports by both countries will rise at a higher rate than exports. For Kenya, domestic output increases in agriculture, extraction, and service sectors, and for Korea, output goes up in processed food and light and heavy manufacturing sectors. Research Implications – The novelty of this paper is in the first empirical quantification of the economic impact of a Korea-Kenya FTA on not only its members but also its trading partners, such as the US, EU, UK, China, and Japan. Moreover, this study provides a comprehensive overview of the impact of a potential FTA between Korea and Kenya by reducing and eliminating tariffs and AVEs of NTMs.
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30

Zeshan, Muhammad, and Jong-Hwan Ko. "Climate Change and Agriculture: A Computable General Equilibrium Approach." Korea International Trade Research Institute 13, no. 6 (December 22, 2017): 171–92. http://dx.doi.org/10.16980/jitc.13.6.201712.171.

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31

Pan, Haoran, Pierre Failler, Qianyi Du, Christos Floros, Loretta Malvarosa, Emmanuel Chassot, and Vincenzo Placenti. "An Inter-Temporal Computable General Equilibrium Model for Fisheries." Sustainability 14, no. 11 (May 25, 2022): 6444. http://dx.doi.org/10.3390/su14116444.

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Computable general equilibrium models have been a popular tool for policy analysis in recent decades, but rarely applied for fisheries policy and management. This paper presents an inter-temporal computable general equilibrium model with fisheries details. While the model in a full-scale and disaggregate way describes the structure and dynamics of a regional fisheries economy, it further specifies the heterogeneous bottom-up fish producers, such as harvesters, aquaculture and fish-processing firms, and links fisheries with the top–down non-fisheries economic sectors. In addition, the model can be externally linked with fish biological models to consider interactions between economic and biological systems. The model is designed to provide a comprehensive tool for analysis of new fisheries policy in general and to study five European fishery regions in particular. The empirics in the paper evaluate the impact of several important management and policy instruments on the Salerno economy and on recovery of endangered species.
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32

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 (January 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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33

Gesualdo, Maria, James A. Giesecke, Nhi H. Tran, and Francesco Felici. "Building a computable general equilibrium tax model for Italy." Applied Economics 51, no. 56 (July 26, 2019): 6009–20. http://dx.doi.org/10.1080/00036846.2019.1646875.

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34

Addy, Samuel N. "Note on a computable general equilibrium model for Ghana." Journal of Policy Modeling 23, no. 7 (October 2001): 821–24. http://dx.doi.org/10.1016/s0161-8938(01)00062-x.

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35

Hoffmann, Anders N. "Imperfect competition in computable general equilibrium models — a primer." Economic Modelling 20, no. 1 (January 2003): 119–39. http://dx.doi.org/10.1016/s0264-9993(01)00088-8.

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36

Choi, Sou-Cheng Terrya. "A Complementarity Approach to Solving Computable General Equilibrium Models." Computational Economics 46, no. 2 (September 4, 2014): 305–23. http://dx.doi.org/10.1007/s10614-014-9462-7.

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37

Athukorala, Prema-chandra, Peter B. Dixon, and Maureen T. Rimmer. "Global Supply Chains: Towards A Computable General Equilibrium Analysis." Economic Papers: A journal of applied economics and policy 37, no. 3 (May 21, 2018): 198–219. http://dx.doi.org/10.1111/1759-3441.12213.

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38

Liu, Jing, Thomas Hertel, and Farzad Taheripour. "Analyzing Future Water Scarcity in Computable General Equilibrium Models." Water Economics and Policy 02, no. 04 (December 2016): 1650006. http://dx.doi.org/10.1142/s2382624x16500065.

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Incorporating water into a computable general equilibrium (CGE) model operating at global scale can be extremely demanding due to the absence of standardized data, the sheer dimensions caused by intersecting river basins with countries, and difficulties to model demand for and supply of water. This has led many authors to introduce water in their CGE modeling framework in different ways and at different spatial and sectoral aggregation levels. Of course, simplifying market for water and sacrificing the geographical realism risk introducing errors caused by inappropriate aggregation. In this paper, we use an elaborate global CGE model to investigate the three most commonly practiced simplifications: (1) tackling global questions in a national level model; (2) collapsing irrigated and rainfed crop production into a single sector; and (3) removing river basin boundaries within a country. In each case, we compare their performance in predicting the impacts of future irrigation scarcity on international trade, crop output, land use change and welfare, relative to the full scale model. As might be expected, the single region model does a good job of matching outcomes for that region, although changes in bilateral trade can entail significant errors. When it comes to the elimination of sub-national river basins and irrigation location, we find that, if the research question has to do with changes in national-scale trade, production and welfare changes, it may be sufficient to ignore the sub-national hydrological boundaries in global economic analysis of water scarcity. However, when decision makers have an interest in the distribution of inputs and outputs within a region, preserving the river basin and sectoral detail in the model brings considerable added value to the analysis.
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39

Pyatt, Graham. "Modelling Commodity Balances in a Computable General Equilibrium Context." Economic Systems Research 6, no. 2 (January 1994): 123–34. http://dx.doi.org/10.1080/09535319400000012.

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40

Bröcker, Johannes. "Chamberlinian Spatial Computable General Equilibrium Modelling: A Theoretical Framework." Economic Systems Research 7, no. 2 (January 1995): 137–50. http://dx.doi.org/10.1080/09535319500000017.

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41

Horridge, Mark. "A computable general equilibrium model of urban transport demands." Journal of Policy Modeling 16, no. 4 (August 1994): 427–57. http://dx.doi.org/10.1016/0161-8938(94)90037-x.

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42

Kretschmer, Bettina, and Sonja Peterson. "Integrating bioenergy into computable general equilibrium models — A survey." Energy Economics 32, no. 3 (May 2010): 673–86. http://dx.doi.org/10.1016/j.eneco.2009.09.011.

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43

Hossain, Syed Shoyeb, and Huang Delin. "Rice and Wheat Tariff Impact in Bangladesh: CGE Analysis Using Gtap Model." Journal of Agricultural Science 11, no. 10 (July 15, 2019): 63. http://dx.doi.org/10.5539/jas.v11n10p63.

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Computable General Equilibrium (CGE) models are mostly used for agricultural market analysis globally. This paper constructs a Computable General Equilibrium model using Global Trade Analysis Project (GTAP) model followed by the GTAP 9A database. The primary aim of this paper is to analyze the potential impact of tariff increase on Agricultural crop sectors (Rice and Wheat) in Bangladesh and then describes the construction of the database. It also attempts to detect the trend of the tariff change impact on rice and wheat production in Bangladesh and other South Asian countries. Using database reference year 2011, this paper builds a computable general equilibrium model to measure the Tariff impact in Bangladesh. Result of the model suggests that if an import tariff is imposed, it will affect domestic-foreign relative price between Bangladesh and other south Asian countries. Bilateral trade between Bangladesh and South Asia country will decline sharply. Finally, this paper explained the policy scenario, data sources, and processing methods in details.
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44

Macmillan, W. D. "General Economic Equilibrium with Dispersed Preferences over Discrete Alternatives: An Existence Proof Using Optimisation." Environment and Planning A: Economy and Space 27, no. 12 (December 1995): 2019–33. http://dx.doi.org/10.1068/a272019.

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This paper is concerned with the foundations of urban spatial interaction modelling but is cast in a more general form. Its purpose is to establish a sound microeconomic basis for the construction of CGE (computable general equilibrium) models of cities. It is based on three premises: (1) before trying to compute equilibria, it is prudent to show that they exist; (2) careful consideration of the circumstances under which they exist is advantageous both technically and theoretically; (3) by constructing an existence proof which centres on a mathematical programming problem, it is possible to forge a direct connection between the programming-based spatial interaction modelling literature and general equilibrium theory.
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45

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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46

MORISUGI, Hisayoshi, Takayuki UEDA, Shinichi MUTO, and Yuichiro KONDO. "Constructing the Computable General Equilibrium Model Focusing the Transport Sector." INFRASTRUCTURE PLANNING REVIEW 13 (1996): 349–60. http://dx.doi.org/10.2208/journalip.13.349.

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47

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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48

OKUDA, Taka-aki, and Masashi MORISUGI. "A Computable General Equilibrium Model including Business Communication between Regions." INFRASTRUCTURE PLANNING REVIEW 17 (2000): 169–77. http://dx.doi.org/10.2208/journalip.17.169.

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49

Böhringer, Christoph. "Sustainability impact assessment: the use of computable general equilibrium models." Économie internationale 99, no. 3 (September 1, 2004): 9–26. http://dx.doi.org/10.3917/ecoi.099.0009.

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50

Das, Koushik. "Trade and Environment in India: A Computable General Equilibrium Analysis." Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics 55, no. 2 (June 1, 2013): 149. http://dx.doi.org/10.21648/arthavij/2013/v55/i2/111215.

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