Title :
Simulation analysis of the participant nations behavior in the emissions trading
Author :
Nakada, Tomohiro ; Takada, Kazumasa ; Watanabe, Shigeyoshi
Author_Institution :
Dept. of Human Commun., Univ. of Electro-Commun., Chofu
Abstract :
This paper proposes a decision-making model of the participant nations using the reinforcement learning under uncertainty in the international emissions trading market, aim at clarifying the success conditions of the compliance mechanism in the emissions trading market. Intensive simulations have been revealed the following implications: (1) the trade of the emissions trading tended to stop that all nations set reduction commitment than 7%, and (2) it is important to give high incentive for the improvement of the participant nations behavior.
Keywords :
decision making; digital simulation; emission; environmental science computing; learning (artificial intelligence); compliance mechanism; decision-making model; international emissions trading market; participant nations behavior; reinforcement learning; simulation analysis; Analytical models; Decision making; Electronic mail; Environmental economics; Global warming; Humans; Learning; Mathematical model; Protocols; Uncertainty; Emissions trading; Participant nations behavior; Reinforcement learning; Simulation Analysis;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4654689
