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Provincial decomposition of China's carbon emission rights under the constraint of 2020 and 2030 carbon intensity targets |
WANG Yong1,2, CHENG Yu1, YANG Guang-chun1, DONG Ying1 |
1. School of Statistics, Dongbei University of Finance and Economics, Dalian 116025, China;
2. Postdoctoral Research Station, Dongbei University of Finance and Economics, Dalian 116025, China |
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Abstract A provincial allocation model for carbon emission rights was established in this paper. Under the constraints of China's 2020 and 2030 carbon intensity targets, the provinces' allocation of carbon emission rights was carried out in stages. The results show that the distribution of carbon emission rights varies from region to region in China from 2016 to 2020. The five provinces with the most carbon emission rights quotas are Guangdong, Jiangsu, Inner Mongolia, Shandong and Shanxi, where the economic development level and historical carbon emissions are among the highest in the country. The five provinces with the lowest quota are Anhui, Jilin and Gansu. Ningxia and Guizhou. The pressure on emission reduction varies greatly across regions. Shanxi, Shandong, Liaoning and Shaanxi have serious shortage of carbon space at the initial node in 2016, and they need to bear greater pressures to reduce emissions. Guangdong, Jiangsu and Shanghai have relatively low emission reduction pressures. From 2021 to 2030, the distribution of carbon emission rights in each province is basically the same as that in the first stage. All provinces have surplus in carbon emission space in 2030. As of 2030, some regions (such as Xinjiang, Shaanxi, Jilin, Qinghai, Gansu, Ningxia, Guizhou, etc.) have relatively limited carbon emissions, and there are still significant pressures to meet the emission reduction targets on time. Considering that different provinces and regions face different emission reduction tasks and pressures, formulating differentiated emission reduction policies and giving appropriate support to policies is the key to ensuring the smooth achievement of China's emission reduction targets.
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Received: 19 March 2018
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|
[1] |
http://cnc-fe.cast.org.cn/article/350.html[EB/ZL]. 2016-03-24.
|
[2] |
祁悦,谢高地.碳排放空间分配及其对中国区域功能的影响[J]. 资源科学, 2009,31(4):590-597.
|
[3] |
王庆山,李健.弱关联性约束下中国试点省市碳排放权分配效率研究[J]. 软科学, 2016,30(3):81-84+107.
|
[4] |
Yuan Y, Cai W J, Wang C, et al. Regional allocation of CO2 intensity reduction targets based on cluster analysis[J]. Advances in Climate Change Research, 2012,3(4):220-228.
|
[5] |
于潇,孙猛.中国省际碳排放绩效及2020年减排目标分解[J]. 吉林大学社会科学学报, 2015,55(1):57-65+172.
|
[6] |
王慧慧,刘恒辰,何霄嘉,曾维华.基于代际公平的碳排放权分配研究[J]. 中国环境科学, 2016,36(6):1895-1904.
|
[7] |
Wang K, Zhang X, Wei Y, et al. Regional allocation of CO2 emissions allowance over provinces in China by 2020[C]//第十三届中国科协年会第7分会场-实现"2020年单位GDP二氧化碳排放强度下降40-45%"的途径研讨会论文集, 2011:6.
|
[8] |
Yi W, Zou L, Guo J, et al. How can China reach its CO2 intensity reduction targets by 2020?A regional allocation based on equity and development[J]. Energy Policy, 2011,9(5):2407-2415.
|
[9] |
傅京燕,黄芬.中国碳交易市场CO2排放权地区间分配效率研究[J]. 中国人口·资源与环境, 2016,26(2):1-9.
|
[10] |
马海良,张红艳,吴凤平.基于情景分析法的中国碳排放分配预测研究[J]. 软科学, 2016,30(10):75-78.
|
[11] |
方恺,张琦峰,叶瑞克,周云亨.巴黎协定生效下的中国省际碳排放权分配研究[J]. 环境科学学报, 2017,38(10):1-17.
|
[12] |
冯阳,路正南.差别责任视角下碳排放权区域分配方法研究[J]. 软科学, 2016,30(11):122-126.
|
[13] |
国家统计局,中国统计年鉴,2012-2016[M]. 北京:中国统计出版社, 2016.
|
[14] |
国家统计局能源统计司,中国能源统计年鉴,2012-2016[M]. 北京:中国统计出版社, 2016.
|
[15] |
U.S.Energy Information Administration. https://www.eia.gov/[EB/OL]. 1999-08-09.
|
[16] |
Oak Ridge National Laboratory.https://www.ornl.gov/[EB/OL]. 2014-11-08.
|
[17] |
Intergovernmental Panel on Climate Change.https://www.ipcc.ch/[EB/OL]. 2006-08-04.
|
[18] |
国际科学技术委员会. http://www.most.gov.cn/index.htm[EB/OL]. 2014-06-05.
|
[19] |
国家发展与改革委员会能源研究所. http://www.eri.org.cn/[EB/OL]. 2014-12-09.
|
[20] |
田中华,杨泽亮,蔡睿贤.广东省能源消费碳排放分析及碳排放强度影响因素研究[J]. 中国环境科学, 2015,35(6):1885-1891.
|
[21] |
赵敏.上海市终端能源消费的CO2排放影响因素定量分析[J]. 中国环境科学, 2012,32(9):1583-1590.
|
[22] |
涂正革,谌仁俊.中国碳排放区域划分与减排路径——基于多指标面板数据的聚类分析[J]. 中国地质大学学报(社会科学版), 2012, 12(6):7-13+136.
|
[23] |
陈德湖,潘英超,武春友.中国二氧化碳的边际减排成本与区域差异研究[J]. 中国人口·资源与环境, 2016,26(10):86-93.
|
[24] |
刘明磊,朱磊,范英.我国省级碳排放绩效评价及边际减排成本估计:基于非参数距离函数方法[J]. 中国软科学, 2011,(3):106-114.
|
[25] |
魏楚.中国城市CO2边际减排成本及其影响因素[J]. 世界经济, 2014,37(7):115-141.
|
[26] |
王媛,程曦,殷培红,等.影响中国碳排放绩效的区域特征研究——基于熵值法的聚类分析[J]. 自然资源学报, 2013,28(7):1106-1116.
|
[27] |
李涛,傅强.中国省际碳排放效率研究[J]. 统计研究, 2011, 28(7):62-71.
|
[28] |
刘华军,赵浩.中国二氧化碳排放强度的地区差异分析[J]. 统计研究, 2012,29(6):46-50.
|
[29] |
李科心,张琬淑,徐占军.影响山西省碳排放绩效的区域特征研究——基于熵值法的聚类分析[J]. 国土与自然资源研究, 2017,(3):39-44.
|
|
|
|