A multi-agent model approach to international climate change politics

Hyun Young Lee, Mitsutaka Matsumoto, Norichika Kanie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The essence of the global climate change politics is the public goods provision problem. In the present paper, we discuss what kind of process is necessary to form an effective international regime for the global climate change problem, by utilizing multi-agent simulation model. We formulated a multi-agent model for the climate change politics in which the actors (agents) are governments, NGOs and the industries. The simulation results indicate that the NGO's roll of propagating the international norm to governments and the adequate relationship between governments and industries are substantial to form an effective international climate change regime.

Original languageEnglish
Title of host publicationInternational Society for the Systems Sciences - 51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007
Pages741-750
Number of pages10
Publication statusPublished - 2007 Dec 1
Externally publishedYes
Event51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007 - Tokyo, Japan
Duration: 2007 Aug 52007 Aug 10

Publication series

NameInternational Society for the Systems Sciences - 51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007

Other

Other51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007
CountryJapan
CityTokyo
Period07/8/507/8/10

ASJC Scopus subject areas

  • Control and Systems Engineering

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    Lee, H. Y., Matsumoto, M., & Kanie, N. (2007). A multi-agent model approach to international climate change politics. In International Society for the Systems Sciences - 51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007 (pp. 741-750). (International Society for the Systems Sciences - 51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007).