4.7 Article

Regional allocation of carbon emission quotas in China under the total control target

Journal

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Volume 30, Issue 25, Pages 66683-66695

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s11356-023-26874-w

Keywords

Carbon emission quota allocation; Carbon emission peak; STIRPAT model; Scenario analysis; Grey relational analysis

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The allocation of provincial carbon emission quotas under total amount control is an effective approach for China to achieve its carbon peak and neutrality targets. A study was conducted to determine the factors influencing China's carbon emissions using the expanded STIRPAT model and scenario analysis method. The index system of regional carbon quota allocation was then established based on equity, efficiency, feasibility, and sustainability principles. The results showed variations in provincial carbon quota allocation across China and a modest surplus of future carbon emission space for the country.
The allocation of provincial carbon emission quotas under total amount control is an effective way for China to achieve its carbon peak and neutrality targets. Firstly, in order to study the factors influencing China's carbon emissions, the expanded STIRPAT model was constructed; and combined with the scenario analysis method, the total of national carbon emission quota under the peak scenario was predicted. Then, the index system of regional carbon quota allocation is constructed based on the principles of equity, efficiency, feasibility, and sustainability; and the allocation weight is determined by the grey correlation analysis method. Finally, the total carbon emission quota under the peak scenario is distributed in 30 provinces of China, and the future carbon emission space is also analyzed. The results show that: (1) only under the low-carbon development scenario, can China reach the peak target by 2030, with a peak carbon of about 14,080.31 million tons; (2) under the comprehensive allocation principle, China's provincial carbon quota allocation is characterized by high levels in the west and low in the east. Among them, Shanghai and Jiangsu receive fewer quotas, while Yunnan, Guangxi, and Guizhou receive more; and (3) the future carbon emission space for the entire country is modestly surplus, with regional variations. Whereas Hainan, Yunnan, and Guangxi have surpluses, Shandong, Inner Mongolia, and Liaoning have significant deficits.

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