Relevant bibliographies by topics / Computable general equilibrium

Academic literature on the topic 'Computable general equilibrium'

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Published: 4 June 2021
Last updated: 4 May 2024

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Journal articles on the topic "Computable general equilibrium"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Computable general equilibrium"

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Rumler, Fabio. "Computable general equilibrium modeling. Numerical simulations in a 2-country monetary general equilibrium model." Inst. für Volkswirtschaftstheorie und -politik, WU Vienna University of Economics and Business, 1999. http://epub.wu.ac.at/70/1/document.pdf.

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This paper presents the concept of numerical CGE modeling with the help of a 2-country general equilibrium model. In the framework of this simple dynamic monetary model the effects of a (unilateral) monetary and fiscal expansion are simulated. The exchange rate of the home vis-à-vis the foreign currency depreciates in response to both types of shocks. The monetary expansion leads to an increase in home relative to foreign private consumption and to a sharp increase in relative home output in the short run, while in the long run output increases in the foreign country and decreases in the home country. The unilateral fiscal expansion, on the other hand, results in a fall of private consumption in the home relative to the foreign country, and in an increase in relative home output in the short as well as in the long run. The world real interest rate falls quite substantially in response to both shocks. (author's abstract)
Series: Department of Economics Working Paper Series
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Nguyen, Tien Dung. "Trade Reforms in Vietnam : A Computable General Equilibrium Analysis." Graduate School of International Development. Nagoya University, 2002. http://hdl.handle.net/2237/6310.

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Sundberg, Marcus. "Spatial computable general equilibrium modelling : static and dynamic approaches." Licentiate thesis, Stockholm : Div. of transport and location analysis, Dept. of transport and economics, Royal institute of technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-484.

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Philippidis, George. "Computable general equilibrium modelling of the Common Agricultural Policy." Thesis, University of Newcastle Upon Tyne, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300387.

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Gillham, Jonathan. "The economic interrelationships of tourism : a computable general equilibrium analysis." Thesis, University of Nottingham, 2005. http://eprints.nottingham.ac.uk/11330/.

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This thesis investigates the economic interrelationships that tourism has in the wider economy in the context of a country that is heavily reliant on tourism revenues. More specifically, it seeks to examine the welfare, intersectoral, distributional, competitive, investment and dynamic issues relating to the tourism sector that have been under investigated in both the tourism and trade literature. These issues have been investigated empirically using Computable General Equilibrium (CGE) analysis. The thesis is set out as follows: Chapter 1 sets out the relative position of Spain in terms of its international competitors and defines the tourism sector. It also explains why CGE modelling is felt to be the most suitable approach for modelling the Spanish tourism sector for the purposes of this thesis. It also presents an overview of the planned research. Chapter 2 gives an overview of the structure and key features of the Spanish economy. It discusses the evolution of the tourism sector and how it varies between the different autonomous communities in Spain. The Spanish Tourism Satellite Account is presented and Spanish tourism policy is examined. Chapter 3 reviews the theoretical and empirical literature on CGE modelling and tourism analysis relevant to this thesis. Various types of CGE model are scrutinised and their usefulness assessed. The role of tourism in international trade is considered and the characteristics of the tourism sector that need to be embodied into a CGE model are discussed. Chapter 4 describes the core CGE model used in this thesis and the underlying equations that are associated with it. The central data set used is the Spanish input-output table for 1996. This data set is described and all subsequent input-output tables used in other chapters are amended so as to be consistent with this data set. Closure rules, elasticity parameters, solution methods and calibration methods are also discussed. Chapter 5 presents the results of the experiments carried out with the dynamic Spanish national CGE model. The core model presented in Chapter 4 has been extended to incorporate foreign direct investment and these changes are disclosed in the opening sections. Counterfactuals are designed so as to estimate the impact of foreign direct investment inflows and tourism demand shocks on the Spanish economy. Sensitivity analysis of the key exogenous parameters is also undertaken. Chapter 6 presents the results of the experiments carried out on the static regional CGE model of the regions of Spain. Input-Output tables for four of Spain's autonomous regions were obtained and integrated with the Spanish national table to create a data set which accounts for the four regions analysed and the remainder of the Spanish economy. The model presented in Chapter 4 is adapted to incorporate regional trade flows and structural differences are discussed. Counterfactuals are designed in order to investigate how regional tax policy might affect tourism flows in Spain and how tourism demand impacts on different regions in Spain. Sensitivity analysis of the key exogenous parameters is also undertaken. Chapter 7 presents the results of the experiments of the dynamic CGE model for the Canary Islands. The core model is identical to that presented in Chapter 4, except that it is applied at a sub-national rather than a national level. Counterfactuals are designed so as to take account of the issues affecting a small island economy that is heavily reliant on tourism. As before, sensitivity analysis of the key exogenous parameters is also undertaken. Chapter 8 summarises the findings of this study, highlights possibly policy implications and cites limitations of the research. Suggestions for further research are also highlighted.
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Winchester, Niven. "Trade, technology and relative wages : a computable general equilibrium analysis." Thesis, University of Nottingham, 2002. http://eprints.nottingham.ac.uk/11442/.

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The cause(s) of increased wage inequality in developed nations in recent decades is a contentious issue in international economics. In the UK, the ratio of non-manual to manual wages increased by 24.4 percent between 1979 and 1999. Over the same interval, there has been an increase in the relative supply of skilled workers. This suggests that the increase in the relative wage of skilled labour has been driven by a large increase in relative demand for this type of labour. Two candidates commonly cited as the catalyst behind the demand shift are increased trade between developed countries and unskilled-labour-abundant developing nations, and technical change favouring skilled labour. This thesis contributes to the debate by evaluating the effects of trade and technology on UK wages using a computable general equilibrium framework. Modelling is aided by identifying a larger number of labour types than is the norm and estimating changes in the stocks of four different capital assets over the period of interest. The results, although sensitive to key parameter values, single out technical change as the cause of increased wage dispersion in the UK, but also raise the possibility that trade has had a significant adverse effect on the relative wage of a narrowly defined group of workers at the bottom end of the skill distribution.
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Tanaka, Tetsuji. "Risk assessment of food supply : a computable general equilibrium approach." Thesis, SOAS, University of London, 2012. http://eprints.soas.ac.uk/13627/.

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Idris, Jasmin. "A Computable General Equilibrium Analysis of Energy Policies in Malaysia." Thesis, University of Surrey, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499404.

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Blake, Adam. "Computable general equilibrium modelling and the evaluation of agricultural policy." Thesis, University of Nottingham, 1998. http://eprints.nottingham.ac.uk/10336/.

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This thesis is concerned with computable general equilibrium modelling and evaluation of agricultural policy in a global context. Particular emphasis has been given to the EU's Common Agricultural Policy, reform of which was an important element in the successful conclusion of the Uruguay Round (UR), and which is to be subject to further reforms under Agenda 2000. Nevertheless, attention has also been given to modelling the effects of other Uruguay Round outcomes in manufactures and services, so that the reform of the CAP can be assessed within the liberalised global setting. Chapter 1 describes the UR agreement in general, and the Agricultural Agreement in detail. Chapter 2 discusses the construction of computable general equilibrium models. This informs the consideration given in Chapter 3 to the Global Trade Analysis Project (GTAP) model and to results from several papers that use the model for the analysis of the UR, as well as other UR CGE models. The GTAP version 2 database is examined in Chapter 4 (the latest version, released in June 1998, is covered in Chapter 7). Chapter 5 gives attention to the finer detail of the standard GTAP model, and describes the modifications and extensions made to this model, such as the modelling of partiallyspecific- factors and endogenous subsidy rates and a means of decomposing welfare changes in the GTAP model. Chapter 6 presents the resuUs from modelling the Uruguay Round with the aggregation and model developed in Chapters 4 and 5. The main resuUs for these simulations show that the global welfare gain and regional gains to the EU, the USA and Japan are comparable to studies discussed in Chapter 3. Chapters 7 and 8 use the most recent GTAP database, which gives wider coverage of regions, sectors and factors than the version used in earlier chapters. Chapter 7 augments the model of Chapter 5 with production quotas for milk and sugar, explicit modelling of compensation and headage payment, intervention prices and support buying, and detailed representation of the EU export subsidy commitments. Chapter 8 reports the resuUs of simulations using this in a model 'projected' to 2005. The main resuUs are that the UR leads to welfare losses in the EU, which are partially reduced through Agenda 2000, and that in all scenarios, the redistributional impacts of reforms are far greater than the overall welfare changes. Finally, Chapter 9 offers some conclusions and suggestions for future research.
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Bevan, Alan Arthur. "Computable general equilibrium modelling of the Hungarian economy during transition." Thesis, Heriot-Watt University, 1998. http://hdl.handle.net/10399/1130.

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Books on the topic "Computable general equilibrium"

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Hosoe, Nobuhiro, Kenji Gasawa, and Hideo Hashimoto. Textbook of Computable General Equilibrium Modelling. London: Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230281653.

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Buehrer, Timothy. A computable general equilibrium model of Nepal. Manila, Philippines: Asian Development Bank, 1993.

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Madden, John R., Hiroyuki Shibusawa, and Yoshiro Higano, eds. Environmental Economics and Computable General Equilibrium Analysis. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3970-1.

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Dixon, Peter B., Michael Jerie, and Maureen T. Rimmer. Trade Theory in Computable General Equilibrium Models. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8325-9.

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1937-, Fossati Amedeo, and Wiegard Wolfgang, eds. Policy evaluation with computable general equilibrium models. London: Routledge, 2002.

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Fortuna, Mário José Amaral. Computable general equilibrium models: Theory and applications. Ponta Delgada, São Miguel, Açores, Portugal: Centro de Estudos de Economia Aplicada do Atlântico, 2010.

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Perali, Federico, and Pasquale Lucio Scandizzo, eds. The New Generation of Computable General Equilibrium Models. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-58533-8.

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Nechyba, Thomas J. A computable general equilibrium model of intergovernmental aid. Cambridge, MA: National Bureau of Economic Research, 1996.

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Hosoe, Nobuhiro. Textbook of computable general equilibrium modelling: Programming and simulations. New York: Palgrave Macmillan, 2010.

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McKibbin, Warwick J. Integrating macroeconomic and multi-sector computable general equilibrium models. Washington, D.C: Brookings Institution, 1993.

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Book chapters on the topic "Computable general equilibrium"

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Coto-Millán, Pablo. "Computable General Equilibrium." In General Equilibrium and Welfare, 61–94. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-642-50009-1_5.

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Greenaway, David, and Chris Milner. "Computable General Equilibrium Modelling." In Trade and Industrial Policy in Developing Countries, 136–61. London: Palgrave Macmillan UK, 1993. http://dx.doi.org/10.1007/978-1-349-22782-2_8.

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Blake, Adam. "Computable general equilibrium model." In Encyclopedia of Tourism, 176–77. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-01384-8_349.

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Castellanos, Kenneth, Andrew Feltenstein, and Gohar Sedrakyan. "Fixed points, continued." In Computable General Equilibrium Modeling, 24–28. London: Routledge, 2023. http://dx.doi.org/10.4324/9780429295485-4.

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Castellanos, Kenneth, Andrew Feltenstein, and Gohar Sedrakyan. "Numerical solutions; some examples." In Computable General Equilibrium Modeling, 42–52. London: Routledge, 2023. http://dx.doi.org/10.4324/9780429295485-7.

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Castellanos, Kenneth, Andrew Feltenstein, and Gohar Sedrakyan. "The linear economy and Kakutani's theorem." In Computable General Equilibrium Modeling, 29–35. London: Routledge, 2023. http://dx.doi.org/10.4324/9780429295485-5.

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Castellanos, Kenneth, Andrew Feltenstein, and Gohar Sedrakyan. "Linear production technologies." In Computable General Equilibrium Modeling, 36–41. London: Routledge, 2023. http://dx.doi.org/10.4324/9780429295485-6.

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Castellanos, Kenneth, Andrew Feltenstein, and Gohar Sedrakyan. "Taxes and the government." In Computable General Equilibrium Modeling, 74–81. London: Routledge, 2023. http://dx.doi.org/10.4324/9780429295485-11.

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Castellanos, Kenneth, Andrew Feltenstein, and Gohar Sedrakyan. "Dynamic CGE models with financial assets." In Computable General Equilibrium Modeling, 87–94. London: Routledge, 2023. http://dx.doi.org/10.4324/9780429295485-13.

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Castellanos, Kenneth, Andrew Feltenstein, and Gohar Sedrakyan. "Applications." In Computable General Equilibrium Modeling, 6–13. London: Routledge, 2023. http://dx.doi.org/10.4324/9780429295485-2.

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Conference papers on the topic "Computable general equilibrium"

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Huang, Yu-Hui. "Linking GIS and Computable General Equilibrium Model for Studying Resource Supply." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.716.

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Ashimov, A. A., Y. V. Borovskiy, B. T. Sultanov, A. A. Ashimov, N. Yu Borovskiy, and Z. M. Adilov. "Parametrical Regulation of Economic Growth Based on Computable General Equilibrium Models." In UKACC International Conference on CONTROL 2010. Institution of Engineering and Technology, 2010. http://dx.doi.org/10.1049/ic.2010.0262.

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Minaeva, Oksana. "Analysis of Russian economic development scenarios using computable general equilibrium models." In System analysis in economics – 2018. Prometheus publishing house, 2018. http://dx.doi.org/10.33278/sae-2018.eng.185-188.

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Li, Li, and Dai Shiliang. "The Impact of Energy Efficiency Gains on Output with Computable General Equilibrium Model." In 2009 International Conference on Energy and Environment Technology. IEEE, 2009. http://dx.doi.org/10.1109/iceet.2009.111.

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Lu, Ping, Pei Deng, and Wei-da He. "Assessing the impacts of water policy in Beijing: A computable general equilibrium analysis." In 2015 IEEE International Conference on Information and Automation (ICIA). IEEE, 2015. http://dx.doi.org/10.1109/icinfa.2015.7279309.

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Qunzhi, She, and Liu Jiayue. "The Environmental and Economic Effects of Trade Liberalization: A Computable General Equilibrium Modeling Approach." In 2010 International Conference on E-Business and E-Government (ICEE). IEEE, 2010. http://dx.doi.org/10.1109/icee.2010.158.

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Xie, Jie. "Determinant Factors of RMB Real Exchange Rate - Based on Computable General Equilibrium Model Analysis." In 2010 2nd International Conference on E-business and Information System Security (EBISS). IEEE, 2010. http://dx.doi.org/10.1109/ebiss.2010.5473719.

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Xie Jie. "Greenhouse effects on the world agriculture—based on computable general equilibrium model analysis." In 2010 International Conference on Mechanic Automation and Control Engineering (MACE). IEEE, 2010. http://dx.doi.org/10.1109/mace.2010.5536266.

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Lyu, Ke, and Jianqiu Sun. "Economic and Environmental Effects of Resource Tax Reform in China: A Computable General Equilibrium." In Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/ssmi-19.2019.10.

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Ashimov, Abdykappar A., Bakhyt T. Sultanov, Yuriy V. Borovskiy, Nikolay Y. Borovskiy, Rakhman A. Alshanov, and Askar A. Ashimov. "Parametrical Regulation of Economic Growth on the Basis of Non-Autonomous Computable General Equilibrium Model." In Applied Simulation and Modelling. Calgary,AB,Canada: ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.776-032.

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Reports on the topic "Computable general equilibrium"

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Cicowiez, Martin, and Agustín Filippo. A Computable General Equilibrium Analysis for Haiti. Inter-American Development Bank, October 2018. http://dx.doi.org/10.18235/0001342.

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Nechyba, Thomas. A Computable General Equilibrium Model of Intergovernmental Aid. Cambridge, MA: National Bureau of Economic Research, January 1996. http://dx.doi.org/10.3386/w5420.

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Helgeson, Jennifer, Juan Fung, Cheyney O'Fallon, David Webb, and Harvey Cutler. A computable general equilibrium model of cedar rapids. Gaithersburg, MD: National Institute of Standards and Technology, September 2018. http://dx.doi.org/10.6028/nist.tn.2029.

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Hertel, Thomas, Steven Rose, and Richard Tol. Land Use in Computable General Equilibrium Models: An Overview. GTAP Working Paper, March 2008. http://dx.doi.org/10.21642/gtap.wp39.

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Edwards, Brian Keith, and Riccardo Boero. Computable general equilibrium model fiscal year 2014 capability development report. Office of Scientific and Technical Information (OSTI), May 2016. http://dx.doi.org/10.2172/1248100.

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Edwards, Brian Keith, Michael Kelly Rivera, and Riccardo Boero. Computable general equilibrium model fiscal year 2013 capability development report. Office of Scientific and Technical Information (OSTI), May 2016. http://dx.doi.org/10.2172/1253549.

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McAllister, Patrick H., John C. Stone, and George B. Dantzig. Analyzing the Effects of Technological Change: A Computable General Equilibrium Approach. Fort Belvoir, VA: Defense Technical Information Center, September 1988. http://dx.doi.org/10.21236/ada201849.

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Boero, Riccardo, and Brian Keith Edwards. Hurricane Sandy Economic Impacts Assessment: A Computable General Equilibrium Approach and Validation. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1374299.

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Edwards, Brian Keith, Michael K. Rivera, and Riccardo Boero. Computable General Equilibrium Model Fiscal Year 2013 Capability Development Report - April 2014. Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1258348.

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Soummane, Salaheddine, and Frédéric Ghersi. Projecting Saudi Sectoral Electricity Demand in 2030 Using a Computable General Equilibrium Model. King Abdullah Petroleum Studies and Research Center, September 2021. http://dx.doi.org/10.30573/ks--2021-dp12.

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Projecting future demand for electricity is central to power sector planning, as these projections inform capacity investment requirements and related infrastructure expansions. Electricity is not currently economically storable in large volumes. Thus, the underlying drivers of electricity demand and potential market shifts must be carefully considered to minimize power system costs.
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