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How large and uncertain are costs of 2030 GHG emissions reduction target for the European countries? Sensitivity analysis in a global CGE model

Author

Listed:
  • Zachlod-Jelec, Magdalena

    (Ministry of Finance)

  • Boratynski, Jakub

    (Ministry of Finance, University of Łódź)

Abstract
In the paper we address the problem of parameters uncertainty of computable general equilibrium (CGE) simulation results concerning the economic effects of climate policy actions. Large scale CGE models utilize extensive, detailed databases on the structure of the economies (industry-specific technologies, international trade patterns etc.). At the same time, the behaviour of the economic system modelled in the CGE framework is largely driven by assumptions rooted in theory, with relatively little empirical content. It is therefore crucial to understand how assumptions affect outcomes of policy experiments. We employ a static global CGE model PLACE, representing 35 regions and 20 industries, with a focus on representing links between economic activities, energy use and CO2 emissions. Applying systematic sensitivity analysis based on Stroud's (1957) Gaussian quadratures approach we test how variation in elasticity parameters (values of which are subject to substantial uncertainty) affects economic assessment of emission reduction policies. Using as our workhorse simulation scenario the imposition of the European Commission's 40% greenhouse gas (GHG) emission reduction target (with respect to 1990) we find that the uncertainty of model simulation results driven by the uncertainty in assumed elasticities values is quite remarkable indicating that presenting only mean simulation results from CGE models is not sufficient.

Suggested Citation

  • Zachlod-Jelec, Magdalena & Boratynski, Jakub, 2016. "How large and uncertain are costs of 2030 GHG emissions reduction target for the European countries? Sensitivity analysis in a global CGE model," MF Working Papers 26, Ministry of Finance in Poland.
    • Handle: RePEc:ris:mfplwp:0026
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    References listed on IDEAS

    as
    1. Urga, Giovanni & Walters, Chris, 2003. "Dynamic translog and linear logit models: a factor demand analysis of interfuel substitution in US industrial energy demand," Energy Economics, Elsevier, vol. 25(1), pages 1-21, January.
    2. Hertel, Thomas & Hummels, David & Ivanic, Maros & Keeney, Roman, 2007. "How confident can we be of CGE-based assessments of Free Trade Agreements?," Economic Modelling, Elsevier, vol. 24(4), pages 611-635, July.
    3. DeVuyst, Eric A. & Preckel, Paul V., 1997. "Sensitivity analysis revisited: A quadrature-based approach," Journal of Policy Modeling, Elsevier, vol. 19(2), pages 175-185, April.
    4. McKibbin, Warwick J. & Wilcoxen, Peter J., 1998. "The theoretical and empirical structure of the G-Cubed model," Economic Modelling, Elsevier, vol. 16(1), pages 123-148, January.
    5. Steve Sorrell, 2014. "Energy Substitution, Technical Change and Rebound Effects," Energies, MDPI, vol. 7(5), pages 1-24, April.
    6. Azusa OKAGAWA & Kanemi BAN, 2008. "Estimation of substitution elasticities for CGE models," Discussion Papers in Economics and Business 08-16, Osaka University, Graduate School of Economics.
    7. Horridge, Mark & Pearson, Ken, 2011. "Systematic Sensitivity Analysis with Respect to Correlated Variations in Parameters and Shocks," Technical Papers 283429, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Böhringer, Christoph & Fischer, Carolyn & Rosendahl, Knut Einar, 2014. "Cost-effective unilateral climate policy design: Size matters," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 318-339.
    9. Thompson, Peter & Taylor, Timothy G, 1995. "The Capital-Energy Substitutability Debate: A New Look," The Review of Economics and Statistics, MIT Press, vol. 77(3), pages 565-569, August.
    10. Ma, Chunbo & Stern, David I., 2016. "Long-run estimates of interfuel and interfactor elasticities," Resource and Energy Economics, Elsevier, vol. 46(C), pages 114-130.
    11. Edward J. Balistreri & Christine A. McDaniel & Eina Vivian Wong, 2003. "An Estimation of U.S. Industry-Level Capital-Labor Substitution," Computational Economics 0303001, University Library of Munich, Germany.
    12. Yazid Dissou & Reza Ghazal, 2010. "Energy Substitutability in Canadian Manufacturing Econometric Estimation with Bootstrap Confidence Intervals," The Energy Journal, , vol. 31(1), pages 121-148, January.
    13. Christopoulos, Dimitris K., 2000. "The demand for energy in Greek manufacturing," Energy Economics, Elsevier, vol. 22(5), pages 569-586, October.
    14. David Abler & Adrián Rodríguez & James Shortle, 1999. "Parameter Uncertainty in CGE Modeling of the Environmental Impacts of Economic Policies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 14(1), pages 75-94, July.
    15. Thursby, Jerry G & Lovell, C A Knox, 1978. "An Investigation of the Kmenta Approximation to the CES Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 19(2), pages 363-377, June.
    16. Kemfert, Claudia, 1998. "Estimated substitution elasticities of a nested CES production function approach for Germany," Energy Economics, Elsevier, vol. 20(3), pages 249-264, June.
    17. Mika Saito, 2004. "Armington elasticities in intermediate inputs trade: a problem in using multilateral trade data," Canadian Journal of Economics, Canadian Economics Association, vol. 37(4), pages 1097-1117, November.
    18. Apostolakis, Bobby E., 1990. "Energy--capital substitutability/ complementarity : The dichotomy," Energy Economics, Elsevier, vol. 12(1), pages 48-58, January.
    19. Domingues, Edson P. & Haddad, Eduardo A. & Hewings, Geoffrey, 2008. "Sensitivity analysis in applied general equilibrium models: An empirical assessment for MERCOSUR free trade areas agreements," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(2), pages 287-306, May.
    20. Sooriyakumar Krishnapillai & Henry Thompson, 2012. "Cross Section Translog Production and Elasticity of Substitution in U.S. Manufacturing Industry," International Journal of Energy Economics and Policy, Econjournals, vol. 2(2), pages 50-54.
    21. Marie Hyland and Stefanie Haller, 2018. "Firm-level Estimates of Fuel Substitution: An Application to Carbon Pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 6).
    22. Russell Smyth & Paresh Kumar Narayan & Hongliang Shi, 2010. "Inter-fuel Substitution in the Chinese Iron and Steel Sector," Monash Economics Working Papers 22-10, Monash University, Department of Economics.
    23. Ha, Soo Jung & Lange, Ian & Lecca, Patrizio & Turner, Karen, 2012. "Econometric estimation of nested production functions and testing in a computable general equilibrium analysis of economy-wide rebound effec ts," Stirling Economics Discussion Papers 2012-08, University of Stirling, Division of Economics.
    24. Valeria Costantini & Elena Paglialunga, 2014. "Elasticity of substitution in capital-energy relationships: how central is a sector-based panel estimation approach?," SEEDS Working Papers 1314, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised May 2014.
    25. David Cleveland & Daniela Soleri & Paul Thompson & Roger Paden & Jerald Milanich & John Lyon & George Axinn, 1988. "Book reviews," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 5(3), pages 71-95, June.
    26. Arndt, Channing, 1996. "An Introduction To Systematic Sensitivity Analysis Via Gaussian Quadrature," Technical Papers 28709, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    27. Jaccard, Mark & Bataille, Chris, 2000. "Estimating future elasticities of substitution for the rebound debate," Energy Policy, Elsevier, vol. 28(6-7), pages 451-455, June.
    28. Apostolos Serletis, 2012. "International Evidence on Sectoral Interfuel Substitution," World Scientific Book Chapters, in: Interfuel Substitution, chapter 3, pages 37-65, World Scientific Publishing Co. Pte. Ltd..
    29. Koesler, Simon & Schymura, Michael, 2012. "Substitution elasticities in a CES production framework: An empirical analysis on the basis of non-linear least squares estimations," ZEW Discussion Papers 12-007, ZEW - Leibniz Centre for European Economic Research.
    30. Sebastián Claro, 2003. "A Cross-Country Estimation of the Elasticity of Substitution between Labor and Capital in Manufacturing Industries," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 40(120), pages 239-257.
    31. van der Werf, Edwin, 2008. "Production functions for climate policy modeling: An empirical analysis," Energy Economics, Elsevier, vol. 30(6), pages 2964-2979, November.
    32. Surender Kumar & Hidemichi Fujii & Shunsuke Managi, 2015. "Substitute or complement? Assessing renewable and nonrenewable energy in OECD countries," Applied Economics, Taylor & Francis Journals, vol. 47(14), pages 1438-1459, March.
    33. Baccianti, Claudio, 2013. "Estimation of sectoral elasticities of substitution along the international technology frontier," ZEW Discussion Papers 13-092, ZEW - Leibniz Centre for European Economic Research.
    34. Peterson, Sonja, 2006. "Uncertainty and economic analysis of climate change: a survey of approaches and findings," Open Access Publications from Kiel Institute for the World Economy 3778, Kiel Institute for the World Economy (IfW Kiel).
    35. Arne Henningsen & Géraldine Henningsen, 2011. "Econometric Estimation of the “Constant Elasticity of Substitution" Function in R: Package micEconCES," IFRO Working Paper 2011/9, University of Copenhagen, Department of Food and Resource Economics.
    36. Balistreri, Edward J. & McDaniel, Christine A. & Wong, Eina Vivian, 2003. "An estimation of US industry-level capital-labor substitution elasticities: support for Cobb-Douglas," The North American Journal of Economics and Finance, Elsevier, vol. 14(3), pages 343-356, December.
    37. James Ko & Carol Dahl, 2001. "Interfuel substitution in US electricity generation," Applied Economics, Taylor & Francis Journals, vol. 33(14), pages 1833-1843.
    38. Jones, Clifton T, 1995. "A Dynamic Analysis of Interfuel Substitution in U.S. Industrial Energy Demand," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 459-465, October.
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    More about this item

    Keywords

    commputable general equilibrium model; systematic sensitivity analysis; emissions reduction;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • D58 - Microeconomics - - General Equilibrium and Disequilibrium - - - Computable and Other Applied General Equilibrium Models

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