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 littl...
In the context of an emission trading scheme (ETS), we study how uncertainty over the environmental ...
System dynamics models are employed for analyzing the impact of different uncertainties on carbon em...
System dynamics models are employed for analyzing the impact of different uncertainties on carbon em...
Carbon markets, like other commodity markets, are volatile. They react to stochastic "disequilibrium...
The idea of market-based carbon emission trading and carbon taxes is gaining in popularity as a glob...
The aim of this paper is to analyze robust cost-effective and environmentally safe carbon emission t...
The aim of the paper is to examine with a real-world data the already developed framework of emissio...
The Kyoto Protocol foresees emission trading but does not yet specify verification of (uncertain) em...
This paper considers the problem of trading uncertain emissions under the Kyoto Protocol. We analyze...
Emission trading in the EU will begin in 2005, covering the least un-certain emission sources of gre...
The assessment of greenhouse gases (GHGs) emitted to and removed from the atmosphere is highon both ...
Various aspects of the role of uncertainty in greenhouse gas emission reduction policy are analyzed ...
Emissions trading is regarded as a cost-effective tool to reduce greenhouse gases. For example, if t...
Abstract. We give theoretical, partial equilibrium comparisons of a tax with thresholds, tradable ta...
System dynamics models are employed for analyzing the impact of different uncertainties on carbon em...
In the context of an emission trading scheme (ETS), we study how uncertainty over the environmental ...
System dynamics models are employed for analyzing the impact of different uncertainties on carbon em...
System dynamics models are employed for analyzing the impact of different uncertainties on carbon em...
Carbon markets, like other commodity markets, are volatile. They react to stochastic "disequilibrium...
The idea of market-based carbon emission trading and carbon taxes is gaining in popularity as a glob...
The aim of this paper is to analyze robust cost-effective and environmentally safe carbon emission t...
The aim of the paper is to examine with a real-world data the already developed framework of emissio...
The Kyoto Protocol foresees emission trading but does not yet specify verification of (uncertain) em...
This paper considers the problem of trading uncertain emissions under the Kyoto Protocol. We analyze...
Emission trading in the EU will begin in 2005, covering the least un-certain emission sources of gre...
The assessment of greenhouse gases (GHGs) emitted to and removed from the atmosphere is highon both ...
Various aspects of the role of uncertainty in greenhouse gas emission reduction policy are analyzed ...
Emissions trading is regarded as a cost-effective tool to reduce greenhouse gases. For example, if t...
Abstract. We give theoretical, partial equilibrium comparisons of a tax with thresholds, tradable ta...
System dynamics models are employed for analyzing the impact of different uncertainties on carbon em...
In the context of an emission trading scheme (ETS), we study how uncertainty over the environmental ...
System dynamics models are employed for analyzing the impact of different uncertainties on carbon em...
System dynamics models are employed for analyzing the impact of different uncertainties on carbon em...