Abstract
To achieve the goal of carbon dioxide emission reduction in 2030 promised to the United Nations, China unified the Carbon Trading System (CTS) in 2017 since carbon dioxide quota allocation is one of the core issues of carbon trading. It is imperative to establish a flexible carbon quota allocation system based on the unbalanced characteristics of resource endowment and economic development in different regions. Unlike previous distribution research, this paper considers five principles, which are fairness principle, efficiency principle, feasibility principle, development principle, and innovation principle. The maximum deviation method is used to research the carbon emission quota allocation in 30 provinces of China, and the results are compared with those under the single principle and the information entropy method. The results reveal that the distribution under the single principle is severely unbalanced, making the region have a strong sense of relative deprivation. The maximum deviation method is better than the information entropy method to achieve carbon intensity by 2030. It is also conducive to promote the coordinated development of the regional economy, narrow the poverty gap, and achieve sustainable development.
Highlights
According to the World Energy Statistics Yearbook in 2018, the global energy consumption increased by 2.9%, while the carbon emissions generated by energy consumption increased by 2%, reaching the highest level since 2010
Due to the resource endowments and the imbalance of economic development in different regions, all provinces must make joint efforts to achieve carbon emission reduction. e allocation of carbon quotas in all areas of China should follow the principle of “common but differentiated responsibilities” [4]. erefore, the carbon quota design, which is suitable for different regions, is the key to China’s carbon emission reduction. e rationality of provincial carbon quota allocation, based on total amount control, is the key to achieve the carbon emission reduction target by 2030 [5]. e rationality of the allocation of carbon emission quota in different regions depends on the effect of total amount control
In 2013, the growth rate of carbon emission in most provinces began to decrease, among which the growth rate of national carbon emission was − 0.6%, which became negative for the first time, indicating that the carbon market plays an essential role in promoting carbon emission reduction
Summary
According to the World Energy Statistics Yearbook in 2018, the global energy consumption increased by 2.9%, while the carbon emissions generated by energy consumption increased by 2%, reaching the highest level since 2010. E global carbon emission is reduced by 7.6% annually from 2020 to 2030 to achieve the temperature control target of 1.5°C. Due to the resource endowments and the imbalance of economic development in different regions, all provinces must make joint efforts to achieve carbon emission reduction. Erefore, the carbon quota design, which is suitable for different regions, is the key to China’s carbon emission reduction. E rationality of provincial carbon quota allocation, based on total amount control, is the key to achieve the carbon emission reduction target by 2030 [5]. E rationality of the allocation of carbon emission quota in different regions depends on the effect of total amount control. Many scholars have studied the initial allocation of carbon emission quota in different areas
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