标题:Cost allocation for the problem of pollution reduction: a dynamic cooperative game approach
作者:Luqman, Muhammad; Peng, Sui; Huang, Shaoan; Bibi, Amina; Ahmad, Najid
作者机构:[Luqman, Muhammad; Peng, Sui; Huang, Shaoan] Shandong Univ, Ctr Econ Res, Jinan, Shandong, Peoples R China.; [Bibi, Amina] Ocean Univ China, Sch Mat 更多
通讯作者:Luqman, M
通讯作者地址:[Luqman, M]Shandong Univ, Ctr Econ Res, Jinan, Shandong, Peoples R China.
来源:ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA
出版年:2019
卷:31
期:1
页码:1717-1736
DOI:10.1080/1331677X.2018.1515642
关键词:Pollution; climate change; cooperative game; Shapley value; cost sharing
摘要:This paper studies CO2 emissions at a global level. The authors use Dynamic Optimisation to derive the minimum penalty cost on countries every single time. They then use an Imputation Distribution Procedure to allocate the minimum penalty cost among countries. Their work provides the extension of the Shapley value cost allocation as a penalty to reduce CO2 emissions. The paper has implications for how to provide initiatives to improve cooperation on reducing CO2 emissions at an international level. Results show that a reduction in cost of only one country can be harmful for other countries. In this way, some countries can end up or worse off in a case where all countries experience a uniform decrease in their penalty cost. Therefore, the findings of this work suggest a low penalty-cost scenario that helps the countries fight for pollution reduction and provide fruitful links for policy-makers. They show that the Clean Development Mechanism (CDM) of the Kyoto Protocol could be implemented by the Shapley value cost allocation.
收录类别:SSCI
资源类型:期刊论文
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