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Fossil fuel resources, decarbonization, and economic growth drive the feasibility of Paris climate targets

Author

Listed:
  • Vivek Srikrishnan
  • Yawen Guan
  • Klaus Keller
  • Richard S.J. Tol

    (Department of Economics, University of Sussex, Falmer, United Kingdom)

Abstract

Understanding how reducing carbon dioxide (CO2) emissions impacts climate risks requires probabilistic projections of the baseline (“business-as-usual”) emissions. Previous studies deriving these baseline projections have broken important new ground, but are largely silent on two key questions: (i) What are the effects of deep uncertainties surrounding key assumptions such as remaining fossil fuel resources? (ii) Which uncertainties are the key drivers of the projected emissions and global warming? Here we calibrate a simple integrated assessment model using century-scale observations to project global emissions and committed temperature anomalies over the 21st century. We show that the projected emissions are highly sensitive to assumptions about available fossil fuel resources and decarbonization rates. We find that even under an optimistic, low-fossil fuel resources scenario, the median committed warming just by emitted CO2 in 2100 exceeds the 1.5 degree Celsius Paris Agreement target. Across the analyzed scenarios, the probability of exceeding the 2 degree Celsius target just from emitted CO2 ranges from 24% to 39%. The climate-system uncertainties and decarbonization rates are the key factors directly driving this uncertainty. Several economic growth parameters explain a large share of variability though their interactions.

Suggested Citation

  • Vivek Srikrishnan & Yawen Guan & Klaus Keller & Richard S.J. Tol, 2020. "Fossil fuel resources, decarbonization, and economic growth drive the feasibility of Paris climate targets," Working Paper Series 0620, Department of Economics, University of Sussex Business School.
  • Handle: RePEc:sus:susewp:0620
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    File URL: https://arxiv.org/abs/1908.01923
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    References listed on IDEAS

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    More about this item

    Keywords

    integrated assessment; climate change; scenarios; markov chain monte carlo;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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