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碳达峰视角下中国碳排放权行业路径分解研究
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Abstract:
以“碳达峰”为背景下研究中国碳排放权在各行业的路径分解研究,寻找全国碳排放权按照各行业分配时的减排措施。首先,借助灰色关联分析方法对全国碳排放权按门类分八种能源排放量下工业、建筑业、交通运输业、零售餐饮业以及农林牧渔水利业等各行业相关影响因素关联度进行分析,得出工业和建筑业与全国碳排放总量关联度最高。其次,利用GM(1,1)模型对全国的碳排放总量以及各行业分别进行预测,结果显示各行业在维持当下政策时,全国的碳排放总量将还会以0.48%的速率持续增长并预测出在2030年时碳排放总量为9786.46百万吨。最后,根据各行业的公平性、效率性、潜力性以及关联性原则按照熵值法对各行业进行路径分解研究,从而得出分配到各行业的碳减排量与预测出各行业碳排放量的初始空间余额值,为生态环境部制定各行业的配额分配方案时提供政策建议,继而扩大碳市场覆盖行业范围,为全国实现双碳目标提供理论支持。
Under the background of “peak carbon dioxide emissions”, this paper studies the path decomposition of China’s carbon emission rights in various industries, and seeks the emission reduction measures when the national carbon emission rights are distributed according to various industries. Firstly, by using the grey correlation analysis method, this paper analyzes the correlation degree of related influencing factors in industries such as industry, construction, transportation, retail and catering, agriculture, forestry, animal husbandry, fishery, water conservancy, etc., in which the national carbon emission rights are divided into eight kinds of energy emissions, and concludes that the correlation degree between industry and construction and the national carbon emission is the highest. Secondly, the GM(1,1) model is used to forecast the total carbon emissions of the whole country and the industries. The results show that the total carbon emissions of the whole country will continue to increase at a rate of 0.48% when the current policies of all industries are maintained, and it is predicted that the total carbon emissions will be 9786.46 million tons in 2030. Finally, according to the principles of fairness, efficiency, potential and relevance of each industry, the path decomposition of each industry is studied according to entropy method, so as to obtain the carbon emission reduction amount allocated to each industry and the initial space balance value of the carbon emission amount predicted by each industry, which will provide policy suggestions for the Ministry of Ecology and Environment when formulating quota allocation schemes for each industry, and then expand the carbon market to cover the industry scope, and provide theoretical support for realizing the “double-carbon” goal in China.
[1] | 廖志高, 刘攀. 中国碳达峰研究综述及其启示[J]. 广西职业技术学院学报, 2021, 14(6): 1-9. |
[2] | 陈邦丽, 徐美萍. 中国碳排放影响因素分析——基于面板数据STIRPAT-Alasso模型实证研究[J]. 生态经济, 2018, 34(1): 20-24+48. |
[3] | 胡振, 王玥, 何晶晶, 等. 西部城镇家庭能源消费及其碳排放的区域特征研究——基于中国家庭追踪调查的调研数据[J]. 干旱区资源与环境, 2019, 33(4): 1-8. |
[4] | 田原, 孙慧, 李建军. 中国资源型产业低碳转型影响因素实证研究——基于STIRPAT模型的动态面板数据检验[J]. 生态经济, 2018, 34(8): 14-18+30. |
[5] | 姜国刚, 左鹏, 陈思文, 李利亭. 中国地区经济增长对碳排放量的非线性影响研究[J]. 生态经济, 2021, 37(12): 13-22. |
[6] | 原嫄, 周洁. 中国省域尺度下产业结构多维度特征及演化对碳排放的影响[J]. 自然资源学报, 2021, 36(12): 3186-3202. |
[7] | 刘红光, 张子孟, 郭杰. 中国区域间价值链中隐含的碳排放转移研究[J]. 管理评论, 2021, 33(9): 58-64. |
[8] | 田云, 林子娟. 巴黎协定下中国碳排放权省域分配及减排潜力评估研究[J]. 自然资源学报, 2021, 36(4): 921-933. |
[9] | 田云, 陈池波. 基于碳排放权分配的中国省域碳减排奖惩方案[J]. 中国人口?资源与环境, 2020, 30(11): 54-62. |
[10] | 方恺, 李帅, 叶瑞克, 张琦峰, 龙吟. 全球气候治理新进展——区域碳排放权分配研究综述[J]. 生态学报, 2020, 40(1): 10-23. |
[11] | 马天祥. 考虑各省经济人效应的我国省域碳排放权DEA分配[J]. 中外能源, 2019, 24(3): 7-14. |
[12] | 刘贞, 白璐, 孙振清, 徐德会, 沙道凤. 竞争市场中碳排放权的分配及其仿真研究——基于企业主体行为的博弈分析[J]. 生态经济, 2019, 35(8): 35-39+74. |
[13] | 王珂珂, 牛东晓, 甄皓, 等. 基于WOA-ELM模型的中国碳排放预测研究[J]. 生态经济, 2020, 36(8): 20-27. |
[14] | 方琦, 钱立华, 鲁政委. 我国实现碳达峰与碳中和的碳排放量测算[J]. 环境保护, 2021, 49(16): 49-54. |
[15] | 方恺, 张琦峰, 叶瑞克, 等. 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, 2018, 38(3): 1224-1234. |