Game analysis of carbon emission verification: A case study from Shenzhen's cap-and-trade system in China
Game analysis of carbon emission verification: A case study from Shenzhen's cap-and-trade system in China
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碳排放核查的博弈分析:以深圳总量控制与交易体系为例
DOI:
10.1016/j.enpol.2019.04.024
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发表时间:
2019-07
期刊:
影响因子:
9
通讯作者:
Xiong Yi
中科院分区:
文献类型:
--
作者:
Pan Yanchun;Yang Wen;Ma Nan;Chen Zhimin;Zhou Ming;Xiong Yi
Carbon emission verification is one of the key factors required for proper implementation of a cap-and-trade (C&T) system. However, to obtain more revenue, emission generating companies (GCs) may collude with third-party verifiers (3 PVs) and conceal real carbon emission data. Based on actual practice of Shenzhen's C&T system, a three-player game model has been devised in this paper to analyze the behaviors among GCs, 3 PVs and government. Given the government's current piecewise linear re-verification policy, the optimal reported carbon intensity for GCs has been provided. Our research reveals that if the actual carbon intensity is larger than historical carbon intensity GCs may report less carbon intensity and conceal actual carbon emission. To deal with this issue, a new exponential re-verification policy is proposed. Based on authentic data from Shenzhen's C&T system, the experimental results show that the government should devote more attention to GCs with a decreasing industrial product output value-added (IVA) than to those with high carbon emissions when selecting GCs for re-verification. Our experiments also illustrate that the new policy outperforms the current one on both total concealed amount of carbon emission and total re-verification cost if the initial re-verification probability is set within a specific range.
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DOI:
10.2307/2555518
发表时间:
1984-01
期刊:
The RAND Journal of Economics
影响因子:
--
作者:
D. Baron;David Besanko
通讯作者:
D. Baron;David Besanko
影响因子:
1.7
作者:
Raffaele Fiocco;M. Gilli
通讯作者:
Raffaele Fiocco;M. Gilli
影响因子:
3.9
作者:
C. Jenkins;A. Chadwick;S. Hovorka
通讯作者:
C. Jenkins;A. Chadwick;S. Hovorka
影响因子:
9
作者:
Kai Wang;Wen-Jing Yi;JieGuo;Yi-MingWei;Le-LeZou
通讯作者:
Le-LeZou
影响因子:
11.2
作者:
Chang, Kai;Chang, Hao
通讯作者:
Chang, Hao