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Uncertainty, cost-effectiveness and environmental safety of robust carbon trading: integrated approach

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  • T. Ermolieva
  • Y. Ermoliev
  • M. Jonas
  • M. Obersteiner
  • F. Wagner
  • W. Winiwarter

Abstract

Carbon markets, like other commodity markets, are volatile. They react to stochastic “disequilibrium” spot prices, which may be affected by inadequate policies, speculations and bubbles. The market-based emission trading, therefore, does not necessarily minimize abatement costs and achieve emission reduction goals. We introduce a basic stochastic model integrating emissions reduction, monitoring and trading costs allowing us to analyze the robustness of emission and uncertainty reduction policies under environmental safety constraints asymmetric information and other multiple anthropogenic and natural uncertainties. Explicit treatment of uncertainties provides incentives for reducing them before trading. We illustrate functioning of the robust market with numerical results involving such countries as the US, Australia, Canada, Japan, EU27, Russia, Ukraine. In particular, we analyze if the knowledge about uncertainties may affect portfolios of technological and trade policies or structure of the market and how uncertainty characteristics may affect market prices and change the market structure. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • T. Ermolieva & Y. Ermoliev & M. Jonas & M. Obersteiner & F. Wagner & W. Winiwarter, 2014. "Uncertainty, cost-effectiveness and environmental safety of robust carbon trading: integrated approach," Climatic Change, Springer, vol. 124(3), pages 633-646, June.
  • Handle: RePEc:spr:climat:v:124:y:2014:i:3:p:633-646
    DOI: 10.1007/s10584-013-0824-2
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    References listed on IDEAS

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    Cited by:

    1. Jolanta Jarnicka & Piotr Żebrowski, 2019. "Learning in greenhouse gas emission inventories in terms of uncertainty improvement over time," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(6), pages 1143-1168, August.
    2. Xu, Zhongwen & Yao, Liming & Liu, Qiaoling & Long, Yin, 2019. "Policy implications for achieving the carbon emission reduction target by 2030 in Japan-Analysis based on a bilevel equilibrium model," Energy Policy, Elsevier, vol. 134(C).

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