Self-organized global control of carbon emissions
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AbstractThere is much disagreement concerning how best to control global carbon emissions. We explore quantitatively how different control schemes affect the collective emission dynamics of a population of emitting entities. We uncover a complex trade-off which arises between average emissions (affecting the global climate), peak pollution levels (affecting citizens' everyday health), industrial efficiency (affecting the nation's economy), frequency of institutional intervention (affecting governmental costs), common information (affecting trading behavior) and market volatility (affecting financial stability). Our findings predict that a self-organized free-market approach at the level of a sector, state, country or continent can provide better control than a top-down regulated scheme in terms of market volatility and monthly pollution peaks. The control of volatility also has important implications for any future derivative carbon emissions market. (C) 2010 Elsevier B.V. All rights reserved.
All Author(s) ListZhao ZY, Fenn DJ, Hui PM, Johnson NF
Journal namePhysica A: Statistical Mechanics and its Applications
Year2010
Month9
Day1
Volume Number389
Issue Number17
PublisherElsevier
Pages3546 - 3551
ISSN0378-4371
eISSN1873-2119
LanguagesEnglish-United Kingdom
KeywordsAgent-based model; Competition; Self-organized
Web of Science Subject CategoriesPhysics; Physics, Multidisciplinary; PHYSICS, MULTIDISCIPLINARY

Last updated on 2021-23-01 at 00:34