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Study on regional carbon quota allocation at provincial level in China from the perspective of carbon peak.
- Source :
-
Journal of environmental management [J Environ Manage] 2024 Feb; Vol. 351, pp. 119720. Date of Electronic Publication: 2023 Dec 14. - Publication Year :
- 2024
-
Abstract
- This paper constructs a carbon quota allocation index that takes into account equity, efficiency and ecological construction, and calculates carbon emissions and energy consumption data in important periods based on the expected carbon emission targets and economic and social development indicators of the Chinese government. Based on the calculated carbon emissions, the zero-sum game data Envelopment model (ZSG-DEA) is used to discuss the initial allocation of regional quotas and the optimal carbon quota scheme. The results show that:(1) there is a large gap between the optimal carbon quota and the initial carbon quota allocation in Shandong, Guangdong, Jiangsu and other provinces in 2025, and the implementation of emission reduction measures should be accelerated. (2) By 2030, the final allocation of Beijing, Tianjin, Inner Mongolia, Qinghai, Shanghai, Ningxia, Liaoning and Xinjiang will be positive. The provinces with negative final allocation should carry out the work of carbon peak as soon as possible to avoid increasing the pressure of emission reduction in the future. (3) The central region faces greater pressure of emission reduction, while the western region can accept the transfer of carbon emissions from other regions over time. The research conclusions have important policy implications for establishing a fair and effective carbon quota allocation mechanism, achieving the national total carbon emission control target, stimulating the vitality of the unified carbon market, and promoting regional coordinated emission reduction.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier Ltd. All rights reserved.)
- Subjects :
- China
Beijing
Economic Development
Carbon analysis
Carbon Dioxide analysis
Subjects
Details
- Language :
- English
- ISSN :
- 1095-8630
- Volume :
- 351
- Database :
- MEDLINE
- Journal :
- Journal of environmental management
- Publication Type :
- Academic Journal
- Accession number :
- 38100862
- Full Text :
- https://doi.org/10.1016/j.jenvman.2023.119720