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Title: CO₂ emission mitigation and fossil fuel markets: Dynamic and international aspects of climate policies

Journal Article · · Technological Forecasting and Social Change
 [1];  [2];  [3];  [4];  [5];  [3];  [6];  [7];  [8];  [9];  [10];  [11];  [12]
  1. Potsdam Institute for Climate Impact Research, Potsdam (Germany)
  2. Fondazione Eni Enrico Mattei, Milan (Italy)
  3. Centre International de Recherche sur l'Environnement et le Developpement (CIRED), Paris (France)
  4. Institute for Prospective Technological Studies (IPTS), Sevilla (Spain)
  5. International Institute for Applies Systems Analysis (IIASA), Laxenburg (Austria)
  6. International Institute for Applies Systems Analysis (IIASA), Laxenburg (Austria)Paul
  7. Paul Scherrer Inst. (PSI), Villigen (Switzerland)
  8. National Technical Univ. of Athens (Greece)
  9. National Institute for Environmental Studies (NIES) Tsukuba (Japan)
  10. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  11. Research Institute of Innovative Technology for the Earth (RITE), Kyoto (Japan)
  12. Netherlands Environmental Assessment Agency (PBL) Bilthoven (Netherlands); Utrecht Univ. (Netherlands). Copernicus Inst.

This paper explores a multi-model scenario ensemble to assess the impacts of idealized and non-idealized climate change stabilization policies on fossil fuel markets. Under idealized conditions climate policies significantly reduce coal use in the short- and long-term. Reductions in oil and gas use are much smaller, particularly until 2030, but revenues decrease much more because oil and gas prices are higher than coal prices. A first deviation from optimal transition pathways is delayed action that relaxes global emission targets until 2030 in accordance with the Copenhagen pledges. Fossil fuel markets revert back to the no-policy case: though coal use increases strongest, revenue gains are higher for oil and gas. To balance the carbon budget over the 21st century, the long-term reallocation of fossil fuels is significantly larger—twice and more—than the short-term distortion. This amplifying effect results from coal lock-in and inter-fuel substitution effects to balance the full-century carbon budget. The second deviation from the optimal transition pathway relaxes the global participation assumption. The result here is less clear-cut across models, as we find carbon leakage effects ranging from positive to negative because trade and substitution patterns of coal, oil, and gas differ across models. In summary, distortions of fossil fuel markets resulting from relaxed short-term global emission targets are more important and less uncertain than the issue of carbon leakage from early mover action.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC05-76RL01830; 265139; 01LA11020B
OSTI ID:
1196203
Journal Information:
Technological Forecasting and Social Change, Vol. 90, Issue PA; ISSN 0040-1625
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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The safe carbon budget journal January 2018
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Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data journal November 2017
Fossil fuel supply and climate policy: exploring the road less taken journal August 2018
Addressing multiple externalities from electricity generation: a case for EU renewable energy policy beyond 2020? journal October 2018
Bridging analytical approaches for low-carbon transitions journal May 2016
A framework for identifying cross-border impacts of climate change on the energy sector journal July 2018
Simple Rules for Climate Policy and Integrated Assessment journal January 2018
Fossil-fueled development (SSP5): An energy and resource intensive scenario for the 21st century journal January 2017
Carbon leakage in a fragmented climate regime: The dynamic response of global energy markets journal January 2015
Introduction to the AMPERE model intercomparison studies on the economics of climate stabilization journal January 2015
New Hybrid Neuro-Evolutionary Algorithms for Renewable Energy and Facilities Management Problems preprint January 2018