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

fYear

2008

fDate

20-22 Aug. 2008

Firstpage

410

Lastpage

415

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;

fLanguage

English

Publisher

ieee

Conference_Titel

SICE Annual Conference, 2008

Conference_Location

Tokyo

Print_ISBN

978-4-907764-30-2

Electronic_ISBN

978-4-907764-29-6

Type

conf

DOI

10.1109/SICE.2008.4654689

Filename

4654689