We present a single-region computable general equilibrium (CGE) model with trade elasticities calibrated based on a two-region setup. Our goal is to offer a concise, reusable framework for domestic policy analysis while explicitly representing the nominal exchange rate, a key variable often absent from global models. In addition, we incorporate an established theoretical framework to improve the modeling of domestic production, exports, imports and exchange rate dynamics. We then apply our model on Bangladesh to simulate foreign climate-finance transfers and temperature-driven productivity losses. The main finding is that foreign transfers raise aggregate consumption while reallocating activity toward non-tradables in a Dutch disease (i.e., income windfall) pattern, and that an annual transfer of 2.8 billion USD through 2050 can offset specified warming-induced welfare losses.
References
[1]
Aguiar, A., Chepeliev, M., Corong, E., & van der Mensbrugghe, D. (2023). The Global Trade Analysis Project (GTAP) Data Base: Version 11. JournalofGlobalEconomicAnalysis,7, 1-37. https://doi.org/10.21642/jgea.070201af
[2]
Armington, P. S. (1969). A Theory of Demand for Products Distinguished by Place of Production. StaffPapers-InternationalMonetaryFund,16, 159-176. https://doi.org/10.2307/3866403
[3]
Arrow, K. J., Chenery, H. B., Minhas, B. S., & Solow, R. M. (1961). Capital-Labor Substitution and Economic Efficiency. TheReviewofEconomicsandStatistics,43, 225-250. https://doi.org/10.2307/1927286
[4]
Balistreri, E. J., McDaniel, C. A., & Wong, E. V. (2003). An Estimation of US Industry-Level Capital-Labor Substitution Elasticities: Support for Cobb-Douglas. TheNorthAmericanJournalofEconomicsandFinance,14, 343-356. https://doi.org/10.1016/s1062-9408(03)00024-x
[5]
Bussieck, M. R., & Meeraus, A. (2004). General Algebraic Modeling System (GAMS). In J. Kallrath (Eds.), AppliedOptimization (pp.137-157). Springer. https://doi.org/10.1007/978-1-4613-0215-5_8
[6]
Chen, Y. H., Paltsev, S., Gurgel, A., Reilly, J. M., & Morris, J. (2022). A Multisectoral Dynamic Model for Energy, Economic, and Climate Scenario Analysis. LowCarbonEconomy,13, 70-111. https://doi.org/10.4236/lce.2022.132005
[7]
Chepeliev, M. (2023). GTAP-Power Data Base: Version 11. JournalofGlobalEconomicAnalysis,8, 101-135. https://doi.org/10.21642/jgea.080203af
[8]
Choi, Y., Campbell, D. J., Aldridge, J. C., & Eltahir, E. A. B. (2021). Near-Term Regional Climate Change over Bangladesh. ClimateDynamics,57, 3055-3073. https://doi.org/10.1007/s00382-021-05856-z
[9]
Cornerstone CGE (2024). FundamentalsofComputableGeneralEquilibrium(CGE)Modeling.AnOnlineCourseDevelopedbyCornerstoneCGE. The Open University. https://www.open.edu/openlearncreate/mod/page/view.php?id=214558#:~:text=Learning%20Outcome,total%20investment%20is%20also%20fixed
[10]
Cossa, P. (2004). Uncertainty Analysis of the Cost of Climate Policies. Master of Science Thesis, Massachusetts Institute of Technology.
[11]
Dervis, K., De Melo, J., & Robinson, S. (1982). GeneralEquilibriumModelsforDevelopmentPolicy. Cambridge University Press.
[12]
Devaragan, S., Lewis, J. D., & Robinson, S. (1990). Policy Lessons from Trade-Focused, Two-Sector Models. JournalofPolicyModeling,12, 625-657. https://doi.org/10.1016/0161-8938(90)90002-v
[13]
Ebrahimzadeh, C. (2025). Dutch Disease: Wealth Managed Unwisely. International Monetary Fund. https://www.imf.org/en/Publications/fandd/issues/Series/Back-to-Basics/Dutch-Disease
[14]
Government of Bangladesh (2022). National Adaptation Plan of Bangladesh (2023-2050). Ministry of Environment, Forest and Climate Change.
[15]
Gurgel, A., Mignone, B. K., Morris, J., Kheshgi, H., Mowers, M., Steinberg, D. et al. (2023). Variable Renewable Energy Deployment in Low-Emission Scenarios: The Role of Technology Cost and Value. Applied Energy,344, Article 121119. https://doi.org/10.1016/j.apenergy.2023.121119
[16]
Hertel, T. W. (1997). GlobalTradeAnalysis:ModelingandApplications. Cambridge University Press. https://econpapers.repec.org/bookchap/gtagtapbk/7685.htm
[17]
Hsiang, S. M. (2010). Temperatures and Cyclones Strongly Associated with Economic Production in the Caribbean and Central America. ProceedingsoftheNationalAcademyofSciences,107, 15367-15372. https://doi.org/10.1073/pnas.1009510107
[18]
IMF (2025). World Economic Outlook (April 2025). https://www.imf.org/external/datamapper/NGDP_RPCH@WEO/BGD?zoom=BGD&highlight=BGD
[19]
IPCC (2023). Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)] (pp. 35-115). IPCC.
[20]
Lanz, B., & Rutherford, T. F. (2016). GTAPinGAMS: Multiregional and Small Open Economy Models. JournalofGlobalEconomicAnalysis,1, 1-77. https://doi.org/10.21642/jgea.010201af
[21]
Mowers, M., Mignone, B. K., & Steinberg, D. C. (2023). Quantifying Value and Representing Competitiveness of Electricity System Technologies in Economic Models. AppliedEnergy,329, Article 120132. https://doi.org/10.1016/j.apenergy.2022.120132
[22]
Paltsev, S., Reilly, J., Jacoby, H., Eckaus, R., McFarland, J., & Babiker, M. (2005). The MIT Emissions Prediction and Policy Analysis (EPPA) Model: Version 4. MIT JPSPGC Report 125.
[23]
Pilcher, J. J., Nadler, E., & Busch, C. (2002). Effects of Hot and Cold Temperature Exposure on Performance: A Meta-Analytic Review. Ergonomics,45, 682-698. https://doi.org/10.1080/00140130210158419
[24]
Powell, A. A., & Gruen, F. H. G. (1968). The Constant Elasticity of Transformation Production Frontier and Linear Supply System. InternationalEconomicReview,9, 315-328. https://doi.org/10.2307/2556228
[25]
Reilly, J., Paltsev, S., Felzer, B., Wang, X., Kicklighter, D., Melillo, J. et al. (2007). Global Economic Effects of Changes in Crops, Pasture, and Forests Due to Changing Climate, Carbon Dioxide, and Ozone. EnergyPolicy,35, 5370-5383. https://doi.org/10.1016/j.enpol.2006.01.040
[26]
Rutherford, T. (1998). GTAPinGAMS: The Dataset and Static Model. Purdue University, West Lafayette, IN: Global Trade Analysis Project (GTAP). https://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=409
[27]
Rutherford, T. F. (1999). Applied General Equilibrium Modeling with MPSGE as a GAMS Subsystem: An Overview of the Modeling Framework and Syntax. ComputationalEconomics,14, 1-46. https://doi.org/10.1023/a:1008655831209
[28]
Schreiber, A., Marten, A., & Wolverton, A. (2024). Approximating Terms of Trade Effects in Single Country CGE Models. JournalofGlobalEconomicAnalysis,9, 70-111. https://doi.org/10.21642/jgea.090202af
[29]
Seppänen, O., Fisk, W. J., & Faulkner, D. (2003). Cost Benefit Analysis of the Night-Time Ventilative Cooling in Office Building. Lawrence Berkeley National Laboratory. Technical Report LBNL-53191. https://escholarship.org/uc/item/3j82f642
[30]
Shephard, R. W. (1970). Theory of Cost and Production Functions. Princeton University Press. http://www.jstor.org/stable/j.ctt13x11vf
[31]
UNESCWA (2020). Theoretical Development of a Basic CGE Model. Slides Presented for the Workshop CapacityBuildingfortheMinistryofFinance(MOF)inTunisiaon“ComputableGeneralEquilibriumModelling. https://www.unescwa.org/events/capacity-building-ministry-finance-mof-tunisia-%E2%80%9Ccomputable-general-equilibrium-modelling%E2%80%9D
[32]
UNFCCC (2024). COP29 UN Climate Conference Agrees to Triple Finance to Developing Countries, Protecting Lives and Livelihoods. UN Climate Change News, UNFCCC. https://unfccc.int/news/cop29-un-climate-conference-agrees-to-triple-finance-to-developing-countries-protecting-lives-and
[33]
World Bank (2025). Unemployment, Total (% of Total Labor Force) (Modeled ILO Estimate)—Bangladesh. World Bank Open Data, The World Bank Group.
[34]
World Economic Forum (2024). Farmers Must Be Front of the Line for Climate Compensation after COP29. Here’s Why. https://www.weforum.org/stories/2024/11/cop29-agriculture-loss-damage-fund/
