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Long Run Projections For Climate Change Scenarios

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  • Warwick McKibbin

    ()

  • David Pearce

    ()

  • Alison Stegman

    ()

Abstract

The prediction of future temperature increases depends critically on the projections of future greenhouse gas emissions. Yet there is a vigorous debate about how these projections should be undertaken and how reasonable is the approach of the Special Report on Emissions Scenarios (SRES) published by the Intergovernmental Panel on Climate Change (IPCC) which forms the basis of nearly all recent analyses of the impacts of climate change. In particular there has been significant criticism by Ian Castles and David Henderson regarding the plausibility of some scenarios. This paper explores a range of methodological issues surrounding projecting greenhouse emissions over the next century. It points out that understanding future emissions, requires a framework that deals with the sources of economic growth and allows for endogenous structural change. It also explores the role of “convergence” assumptions and the debate regarding the use of purchasing power parity (PPP) measurement versus market exchange rate (MER) measurement of income differentials. Using the G-Cubed multi-country model we show that emission projections based on convergence assumptions defined in MER terms, are 40% higher by 2100 than emissions generated using a PPP comparison of income differentials between economies. This result illustrates the argument by Castles and Henderson that the use of MER convergence assumptions will likely overestimate emissions projections, taking many other issues as given. However it is not clear what this means for the SRES projections given that it might be argued that in some models in the SRES, there could be endogenous changes in technology that will offset this result. We do not have access to those models to explore this issue and can only show what this particular assumption implies in the G-Cubed model. It is also ambiguous exactly what was done in the SRES report regarding convergence assumptions in some scenarios. Either way these results do not imply that climate change is not an issue but that there is a great deal of uncertainty about future climate projections and it is very unhelpful to presume that all futures are equally likely. In order to deal with this we also propose as a better guide to policymakers a methodology that calculates probabilities for future projections rather than the approach of SRES which is based on storylines without any assessment of plausibility. It is unfortunate that some analyses of the impacts of future climate change are based on the extreme outliers from the SRES without any understanding of the probability of these outcomes. This alternative approach could be done using the economic approach proposed in the G-Cubed model as outlined in this paper, or it could be done with the existing range of SRES scenarios to better inform the debate on likely future greenhouse scenarios.

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Bibliographic Info

Paper provided by Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University in its series CAMA Working Papers with number 2004-01.

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Length: 70 pages
Date of creation: Apr 2004
Date of revision:
Handle: RePEc:een:camaaa:2004-01

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Citations

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Cited by:
  1. Warwick J. McKIBBIN, 2006. "Environmental Consequences of Rising Energy Use in China," Asian Economic Policy Review, Japan Center for Economic Research, Japan Center for Economic Research, vol. 1(1), pages 157-174.
  2. Valentina Bosetti & Emanuele Massetti & Massimo Tavoni, 2007. "The WITCH Model. Structure, Baseline, Solutions," Working Papers, Fondazione Eni Enrico Mattei 2007.10, Fondazione Eni Enrico Mattei.
  3. Francesco Bosello & Roberto Roson & Richard S.J. Tol, 2004. "Economy-Wide Estimates Of The Implications Of Climate Change: Human Health," Working Papers, Research unit Sustainability and Global Change, Hamburg University FNU-57, Research unit Sustainability and Global Change, Hamburg University, revised Dec 2004.
  4. Warwick J. McKibbin, 2004. "Climate Change Policy for India," ASARC Working Papers, The Australian National University, Australia South Asia Research Centre 2004-03, The Australian National University, Australia South Asia Research Centre.
  5. McKibbin, Warwick J. & Pearce, David & Stegman, Alison, 2007. "Long term projections of carbon emissions," International Journal of Forecasting, Elsevier, Elsevier, vol. 23(4), pages 637-653.
  6. Méjean, Aurélie & Hope, Chris, 2010. "Modelling the costs of energy crops: A case study of US corn and Brazilian sugar cane," Energy Policy, Elsevier, Elsevier, vol. 38(1), pages 547-561, January.
  7. Richard S.J. Tol, 2004. "Exchange Rates And Climate Change: An Application Of Fund," Working Papers, Research unit Sustainability and Global Change, Hamburg University FNU-45, Research unit Sustainability and Global Change, Hamburg University, revised Jun 2004.

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