Agent-Based Modeling of Global Carbon Trading and Its Policy Implications for China in the Post-Kyoto Era
Authored by Zheng Wang, Qianting Zhu, Keran Duan, Jing Wu
Date Published: 2016
DOI: 10.1080/1540496x.2016.1152794
Sponsors:
National Basic Research Program of China
National Science Foundation for Young Scholar of China
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Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
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Abstract
Carbon trading is an important component of global responses to climate
change. Using agent-based modeling, this study constructs a global
carbon trading model (GCTM), and simulates the effectiveness of the
trading mechanism. Results show that: (1) quota allocation is the
fundamental premise of carbon trading; (2) under the carbon trading
mechanism, the cumulative per capita emissions of developed countries
are still much higher than those in developing countries; (3) carbon
trading could be an important policy choice to meet China's future
emissions targets; and (4) to maximize incomes in the long run, China
can set aside part of current quotas and use them in the future.
Tags
Economics
growth
Climate-change
Emission permits
Rights