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A global carbon tax to compensate damage and adaptation costs or climate change compensation through a global carbon tax

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  • Altamirano-Cabrera, J.C.
  • Bicchetti, D.
  • Drouet, L.
  • Thalmann, P.
  • Vielle, M.

Abstract

We analyze in this paper the implications of a global carbon tax on CO2 to finance the damage and adaptation costs of the developing countries. To attain our objective, we use the GEMINI-E3 model. We considered two options for our scenarios, first that the tax is only applied to industrialized countries and secondly, that the tax is charged globally. We conclude that a scheme that put the entire tax burden on the industrialized countries would not be a feasible policy strategy. Furthermore, it would be more likely that industrialized countries accept to finance adaptation because it entails a lower financial burden and might incentive DCs to reduce their emissions.

Suggested Citation

  • Altamirano-Cabrera, J.C. & Bicchetti, D. & Drouet, L. & Thalmann, P. & Vielle, M., 2008. "A global carbon tax to compensate damage and adaptation costs or climate change compensation through a global carbon tax," Conference papers 331782, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:331782
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    References listed on IDEAS

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    1. Cororaton, Caesar B. & Cockburn, John, 2004. "Trade Reform and Poverty in the Philippines: A Computable General Equilibrium Microsimulation Analysis," Conference papers 331176, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. John Creedy & Alan Duncan, 2002. "Behavioural Microsimulation with Labour Supply Responses," Journal of Economic Surveys, Wiley Blackwell, vol. 16(1), pages 1-39, February.
    3. Arntz, Melanie & Boeters, Stefan & Gürtzgen, Nicole & Schubert, Stefanie, 2008. "Analysing welfare reform in a microsimulation-AGE model: The value of disaggregation," Economic Modelling, Elsevier, vol. 25(3), pages 422-439, May.
    4. John Creedy & Guyonne Kalb, 2005. "Discrete Hours Labour Supply Modelling: Specification, Estimation and Simulation," Journal of Economic Surveys, Wiley Blackwell, vol. 19(5), pages 697-734, December.
    5. Vos, R.P. & Ganuza, E. & Morley, S. & Robinson, S. & Pineiro, V., 2004. "Are export promotion and trade liberalization good for Latin America's poor? : a comparative macro-micro CGE analysis," ISS Working Papers - General Series 19158, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    6. Maurizio Bussolo & Jann Lay, 2003. "Globalisation and Poverty Changes in Colombia," OECD Development Centre Working Papers 226, OECD Publishing.
    7. Luc Savard, 2003. "Poverty and Income Distribution in a CGE-Household Micro-Simulation Model: Top-Down/Bottom Up Approach," Cahiers de recherche 0343, CIRPEE.
    8. James B. Davies, 2004. "Microsimulation, CGE and Macro Modelling for Transition and Developing Economies," WIDER Working Paper Series DP2004-08, World Institute for Development Economic Research (UNU-WIDER).
    9. Melanie Arntz & Stefan Boeters & Nicole Gürtzgen & Stefanie Schubert, 2006. "Analysing Welfare Reform in a Microsimulation-AGE Model," Computing in Economics and Finance 2006 109, Society for Computational Economics.
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