An inter-provincial carbon quota study in China based on the contribution of clean energy to carbon reduction

被引:15
作者
Shi, Wei [1 ]
Li, Wei [1 ]
Qiao, Fuwei [2 ]
Wang, Weijuan [1 ]
An, Yi [1 ]
Zhang, Guowei [1 ]
机构
[1] Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Peoples R China
[2] Northwest Normal Univ, Coll Econ, Lanzhou 730070, Peoples R China
关键词
Clean energy; Carbon reduction contribution; Interprovincial carbon quota; China; CO2; EMISSIONS; ALLOCATION; EFFICIENCY; EQUITY; POLICY;
D O I
10.1016/j.enpol.2023.113770
中图分类号
F [经济];
学科分类号
02 ;
摘要
Energy consumption is the main source of carbon dioxide emissions. Vigorously promoting the development and utilisation of clean energy and the reasonable distribution of carbon amounts between regions is an important measure for carbon emission reduction. In this paper, the geodetector method is used to quantitatively analyse the impact of the development and utilisation of clean energy on China's overall carbon emissions. And the carbon quota calculated under the three principles of efficiency, responsibility, and comprehensiveness are compared, and a reasonable inter-provincial carbon quota allocation scheme considering the contribution of clean energy carbon reduction is put forward. Research indicates: (1) Among the driving factors studied in this paper, the proportion of clean energy power generation has the greatest impact on carbon emissions. (2) The development and utilisation of clean energy has a strong impact on the carbon quota in low-value regions. (3) The comprehensive principle carbon quota allocation (which takes into responsibility principle reflecting clean energy factors and efficiency principle) is the most reasonable. A carbon quota scheme that reflects the contribution of clean energy to carbon emission reduction is of great significance for advancing the realization of China's regional and national carbon peaking targets.
引用
收藏
页数:12
相关论文
共 50 条
[1]   A more scientific allocation scheme of carbon dioxide emissions allowances: The case from China [J].
Cai, Wugan ;
Ye, Peiyun .
JOURNAL OF CLEANER PRODUCTION, 2019, 215 :903-912
[2]   Allocation of carbon emission quotas in Chinese provinces based on Super-SBM model and ZSG-DEA model [J].
Chen, Fang ;
Zhao, Tao ;
Xia, Hongmei ;
Cui, Xiaoyan ;
Li, Zhiyuan .
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2021, 23 (08) :2285-2301
[3]   Regional allocation of carbon emission quotas in China under the total control target [J].
Cheng, Xiaojuan ;
Ouyang, Shiqi ;
Quan, Chunguang ;
Zhu, Guiju .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (25) :66683-66695
[4]   Green competitiveness evaluation of provinces in China based on correlation analysis and fuzzy rough set [J].
Cheng, Xiu ;
Long, Ruyin ;
Chen, Hong ;
Li, Wenbo .
ECOLOGICAL INDICATORS, 2018, 85 :841-852
[5]   A method for incorporating heterogeneity in measuring the economic carrying capacity of urban infrastructures [J].
Cui, Xinxin ;
Du, Qiang ;
Zou, Patrick X. W. ;
Lu, Cheng ;
Li, Yaxian .
JOURNAL OF CLEANER PRODUCTION, 2022, 332
[6]   How can China allocate CO2 reduction targets at the provincial level considering both equity and efficiency? Evidence from its Copenhagen Accord pledge [J].
Dong, Feng ;
Long, Ruyin ;
Yu, Bolin ;
Wang, Ying ;
Li, Jingyun ;
Wang, Yue ;
Dai, Yuanju ;
Yang, Qingliang ;
Chen, Hong .
RESOURCES CONSERVATION AND RECYCLING, 2018, 130 :31-43
[7]   Does energy-saving and emission reduction policy affects carbon reduction performance? A quasi-experimental evidence in China [J].
Du, Zhili ;
Wang, Yao .
APPLIED ENERGY, 2022, 324
[8]   Estimation of marginal abatement costs of CO2 in Chinese provinces under 2020 carbon emission rights allocation: 2005-2020 [J].
Duan, Fumei ;
Wang, Yong ;
Wang, Ying ;
Zhao, Han .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (24) :24445-24468
[9]   How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China's carbon emission allowance [J].
Fang, Kai ;
Zhang, Qifeng ;
Long, Yin ;
Yoshida, Yoshikuni ;
Sun, Lu ;
Zhang, Haoran ;
Dou, Yi ;
Li, Shuai .
APPLIED ENERGY, 2019, 241 :380-389
[10]   Modelling undesirable outputs with zero sum gains data envelopment analysis models [J].
Gomes, E. G. ;
Lins, M. P. E. .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2008, 59 (05) :616-623