A model for robust emission trading under uncertainties

Ermolieva, T., Ermoliev, Y., Jonas, M. ORCID: https://orcid.org/0000-0003-1269-4145, Fischer, G., & Makowski, M. ORCID: https://orcid.org/0000-0002-6107-0972 (2010). A model for robust emission trading under uncertainties. In: Proceedings of the 3rd International Workshop on Uncertainty in Greenhouse Gas Inventories, 22-24 September 2010.

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The international emission trading (IET) scheme was devised to lower the cost of achieving sets of greenhouse gas emission reductions for different countries: emissions are reduced where it is cheapest and emission certificates are then traded to meet the nominal targets in each country. However, carbon markets, like other commodity markets, are volatile. They react to stochastic disequilibrium spot prices, which may be affected by speculations and bubbles. The underlying, actual cost of GHG mitigation, i.e. the marginal costs of abatement technologies is only of secondary importance. The market-based emission trading, therefore, does not necessarily minimize abatement costs and achieve emission reduction goals. Although in Copenhagen little of progress has been made towards increasing emission reduction goals and reaching binding agreements, it is likely that emission trading schemes will continue to be one of the essential economic mechanisms for emissions regulations also in post-Kyoto period, both at the national as well at the international level. While the EU has already implemented a carbon trading scheme several years ago, other developed countries such as US and Australia are ready to adopt the cap-and-trade emission trading system. The paper discusses the following key questions: Under which conditions is carbon trading environmentally safe and cost-effective in the long-term, if considered in the context of a stochastic market? How the knowledge about uncertainties may affect portfolios of technological and trade policies or structure of the market, e.g., if knowledge of uncertainty may turn buyer into seller? How uncertainties characteristics may affect market prices and change the market structure? We introduce a basic stochastic trading model allowing us to analyze the robustness of economic mechanisms for emission reduction under multiple natural and human related uncertainties. We illustrate functioning of the robust market with numerical results involving such countries as US, Australia, Canada, Japan, EU27, Russia, Ukraine, etc.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Emissions trading; Market-based; Uncertainties; Robust economic mechanisms; Detectability; Environmental safety; Cost-efficiency; Stochastic equilibrium
Research Programs: Atmospheric Pollution (APD)
Forestry (FOR)
Greenhouse Gas Initiative (GGI)
Integrated Modeling Environment (IME)
Modeling Land-Use and Land-Cover Changes (LUC)
Bibliographic Reference: In:; Proceedings of the 3rd International Workshop on Uncertainty in Greenhouse Gas Inventories; 22-24 September 2010, Lviv, Ukraine pp.57-64
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:44
Last Modified: 27 Aug 2021 17:21
URI: https://pure.iiasa.ac.at/9424

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