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Game Theoretic Analysis for Carbon Emission Permits Trading Among Multiple World Regions with an Optimizing Global Energy Model by Keigo Akimoto; Atsushi Matsunaga; Yasumasa Fujii; Kenji Yamaji is a Engineering article available to read on EtoBox.
What is Game Theoretic Analysis for Carbon Emission Permits Trading Among Multiple World Regions with an Optimizing Global Energy Model about?
Carbon emissions which would cause global warming were agreed to be constrained at COP3 in Kyoto. In addition, carbon emission permits trading was also approved to be introduced. The emission permits trading is expected to achieve efficient carbon emission reduction, equalizing the marginal costs of the emission reduction for the participating countries. In other words, the permits trading allows participants to reduce emissions where it is least expensive to do so. However, the inadequate introduction of the trading systems may impose an unfairly greater burden on some countries, and therefore careful evaluation of the system would be indispensable for its implementation. In this paper, we attempt to analyze emission permits trading, using the theory of cooperative games with a global energy model of optimization type. We assume that seven world regions as players participate in the permits trading system under the condition of the emission reduction target presented at COP3 and so on, and show the nucleolus of the grand coalition games, and the computational results of primary energy supplies and CO 2 shadow prices. The insights of this research indicate that in order to stabiliz
Who reads Game Theoretic Analysis for Carbon Emission Permits Trading Among Multiple World Regions with an Optimizing Global Energy Model?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Keigo Akimoto; Atsushi Matsunaga; Yasumasa Fujii; Kenji Yamaji
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0424-7760)
- Published
- 2000
- Language
- EN
- Field
- Engineering (Physical Sciences)
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