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Linking Reduced Deforestation and a Global Carbon Market: Impacts on Costs, Financial Flows, and Technological Innovation

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Author Info

  • Valentina Bosetti

    (Fondazione Eni Enrico Mattei)

  • Ruben Lubowski

    (limate and Air Program, Environmental Defense Fund)

  • Alexander Golub

    (Climate and Air Program, Environmental Defense Fund)

  • Anil Markandya

    (Basque Center for Climate Change (BC3) and University of Bath)

Abstract

Discussions over tropical deforestation are currently at the forefront of climate change policy negotiations at national, regional, and international levels. This paper analyzes the effects of linking Reduced Emissions from Deforestation and Forest Degradation (REDD) to a global market for greenhouse gas emission reductions. We supplement a global climate-energy-economy model with alternative cost estimates for reducing deforestation emissions in order to examine a global program for stabilizing greenhouse gas concentrations at 550 ppmv of CO2 equivalent. Introducing REDD reduces global forestry emissions through 2050 by 20-22% in the Brazil-only case and by 64-88% in the global REDD scenarios. At the same time, REDD lowers the total costs of the climate policy by an estimated 10-25% depending on which tropical countries participate and whether the “banking” of excess credits for use in future periods is allowed. As a result, REDD could enable additional reductions of at least 20 ppmv of CO2-equivalent concentrations with no added costs compared to an energy-sector only policy. The cost savings from REDD are magnified if banking is allowed and there is a need to increase the stringency of global climate policy in the future in response, for example, to new scientific information. Results also indicate that REDD decreases carbon prices in 2050 by 8-23% with banking and 11-26% without banking. While developing regions, particularly Latin America, gain the value of REDD opportunities, the decrease in the carbon price keeps the value of international carbon market flows relatively stable despite an increase in volumes transacted. We also estimate that REDD generally reduces the total portfolio of investments and research and development of new energy technologies by 1-10%. However, due to impacts on the relative prices of different fossil fuels, REDD has a slight positive estimated effect on investments in coal-related technologies (IGCC and CCS) as well as, in some cases, non-electric energy R&D. This research confirms that integrating REDD into global carbon markets can provide powerful incentives for the preservation of tropical forests while lowering the costs of global climate change protection and providing valuable policy flexibility.

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Bibliographic Info

Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2009.56.

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Date of creation: Jul 2009
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Handle: RePEc:fem:femwpa:2009.56

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Keywords: Carbon market; Climate change; Innovation; Mitigation; Policy costs; Offsets; Reduced Emissions from Deforestation and Degradation (REDD); Technological change; Tropical deforestation;

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References

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  1. Massimo Tavoni & Valentina Bosetti & Brent Sohngen, 2007. "Forestry and the Carbon Market Response to Stabilize Climate," Working Papers 2007.15, Fondazione Eni Enrico Mattei.
  2. Brian C. Murray & Richard G. Newell & William A. Pizer, 2009. "Balancing Cost and Emissions Certainty: An Allowance Reserve for Cap-and-Trade," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 3(1), pages 84-103, Winter.
  3. Valentina Bosetti & Carlo Carraro & Romain Duval & Alessandra Sgobbi & Massimo Tavoni, 2009. "The Role of R&D and Technology Diffusion in Climate Change Mitigation: New Perspectives Using the Witch Model," Working Papers 2009.14, Fondazione Eni Enrico Mattei.
  4. Brent Sohngen and Roger Sedjo, 2006. "Carbon Sequestration in Global Forests Under Different Carbon Price Regimes," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 109-126.
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Cited by:
  1. Michetti, Melania & Parrado, Ramiro, 2012. "Improving land-use modelling within CGE to assess forest-based mitigation potential and costs," Congress Papers 124380, Italian Association of Agricultural and Applied Economics (AIEAA).
  2. Gren, Ing-Marie & Carlsson, Mattias & Elofsson, Katarina & Munnich, Miriam, 2012. "Stochastic carbon sinks for combating carbon dioxide emissions in the EU," Energy Economics, Elsevier, vol. 34(5), pages 1523-1531.
  3. Gren, Ing-Marie & Carlsson, Mattias, 2013. "Economic value of carbon sequestration in forests under multiple sources of uncertainty," Journal of Forest Economics, Elsevier, vol. 19(2), pages 174-189.
  4. Enrica De Cian & Valentina Bosetti & Alessandra Sgobbi & Massimo Tavoni, 2009. "The 2008 WITCH Model: New Model Features and Baseline," Working Papers 2009.85, Fondazione Eni Enrico Mattei.

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