Self-organized global control of carbon emissions

被引:2
|
作者
Zhao, Zhenyuan [1 ]
Fenn, Daniel J. [2 ]
Hui, Pak Ming [3 ]
Johnson, Neil F. [1 ]
机构
[1] Univ Miami, Dept Phys, Coral Gables, FL 33126 USA
[2] Univ Oxford, Math Inst, Math & Computat Finance Grp, Oxford OX1 3LB, England
[3] Chinese Univ Hong Kong, Dept Phys, Shatin, Hong Kong, Peoples R China
关键词
Self-organized; Competition; Agent-based model; MARKET;
D O I
10.1016/j.physa.2010.04.011
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
There 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.
引用
收藏
页码:3546 / 3551
页数:6
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