EVALUATION AND REALIZATION PATH OF PROVINCIAL CARBON NEUTRALITY CAPABILITY IN CHINA
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摘要: 为科学评估中国省域碳中和能力,基于能源-经济-环境(3E)体系提出了中国省域碳中和能力评价指标体系和改进的TOPSIS方法,通过对我国30个一级行政区(西藏、香港、澳门、台湾除外)碳中和能力的分析评价,验证所提体系方法的有效性,为地方政府实现碳中和提供有益参考。结果表明:改进的TOPSIS方法可以有效评价一个地区的碳中和能力;经济对碳中和能力的影响强于能源和环境;根据碳中和能力强弱可分为优势突出省份、相对均衡省份和部分落后省份,其中优势突出省份以经济发达省份为主,部分落后省份以传统资源型省份为主,各类型省份的碳中和能力提升路径存在差异。Abstract: In order to scientifically evaluate the carbon neutrality capability of provinces, this paper proposed an evaluation index system for China's provincial carbon neutrality capability based on the energy-economy-environment (3E) system and proposed an improved TOPSIS method. Through the analysis and evaluation of the carbon neutrality capacity of 30 provinces in China, the effectiveness of the proposed method was verified, and suggestions were provided for provincial governments to achieve carbon neutrality. The results showed that the improved TOPSIS method can effectively evaluate the carbon neutrality capacity of a region; the impact of the economy is stronger than energy and environment, on achieving carbon neutrality; according to the sorting of carbon neutrality capability, we can divide the 30 provinces into outstanding provinces, relatively balanced provinces and some backward provinces. Among them, the provinces with prominent advantages are mainly economically developed provinces, while some underdeveloped provinces are mainly traditional resource-based provinces. Each type of province has different paths to enhance carbon neutrality capabilities.
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Key words:
- carbon neutrality capability /
- 3E system /
- evaluation index system /
- TOPSIS
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[1] 蒋含颖, 高翔, 王灿.气候变化国际合作的进展与评价[J].气候变化研究进展, 2022, 18(5):591-604. [2] 武良鹏.基于DEA方法的多视角下我国二氧化碳边际减排成本的测算及应用研究[D].南京:南京航空航天大学, 2020. [3] 中华人民共和国新闻办公室.国家发展和改革委举行生态文明建设新闻发布会[EB/OL].http://www.scio.gov.cn/xwfbh/gbwxwfbh/xwfbh/fzggw/Document/1730833/1730833.html, 2022.09. [4] NIU D, WU G, JI Z, et al.Evaluation of provincial carbon neutrality capacity of China based on combined weight and improved TOPSIS model[J].Sustainability, 2021, 13(5):2777. [5] LI Q W, LONG R Y, CHEN H.Measurements and factors that influence the carbon capability of urban residents in China[J].Sustainability, 2018, 10(4):1292. [6] 李铜山, 王艳蕊.基于熵权TOPSIS模型的区域农业碳中和能力评价研究[J].区域经济评论, 2022(3):92-98. [7] CAO Y Q, BIAN Y J.Improving the ecological environmental performance to achieve carbon neutrality:The application of DPSIR-Improved matter-element extension cloud model[J].Journal of Environmental Management, 293:112887. [8] HUANG B, XING K, PULLEN S, et al.Exploring carbon neutral potential in urban densification:a precinct perspective and scenario analysis[J].Sustainability, 2020, 12(12):4814. [9] CHEN D, LIU Y.Evaluation model of energy-economy-environment(3E) system coordinating degree:empirical analysis on China regionally[J].IOP Conference Series:Earth and Environmental Science, 2019, 237(4):042037. [10] TAABAT S E.A novel multicriteria decision-making method based on distance, similarity, and correlation:DSC TOPSIS[J].Mathematical Problems in Engineering, 2019, 2019:20. [11] ZHAO J, DUAN Y Q, LIU X J.Study on the policy of replacing coal-fired boilers with gas-fired boilers for central heating based on the 3E system and the TOPSIS method:A case in Tianjin, China-ScienceDirect[J].Energy, 2019, 189:116206. [12] 陈人杰, 李华取, 彭晓涛, 等.基于改进TOPSIS的新能源大数据服务项目评价研究[J].电力建设, 2021, 42(3):126-134. [13] 王磊, 周亚楠, 张宇.基于熵权-TOPSIS法的低碳城市发展水平评价及障碍度分析:以天津市为例[J].科技管理研究, 2017, 37(17):239-245. [14] 中华人民共和国国家统计局.中国统计年鉴[M].中国统计出版社, 2021. [15] 国家统计局能源统计司.中国能源统计年鉴[M].中国统计出版社, 2021. [16] 中国电力企业联合会.2021年电力工业统计资料汇编[M].中国电力企业联合会, 2021. [17] 清华大学.中国碳核算数据库(CEADs) [EB/OL].https://www.ceads.net/?ref=www.gufen.net, 2019. [18] SONG Y, LI X Y, LI Y.et al.Assessing the risk of an investment project using an improved TOPSIS method[J].Applied Economics Letters, 2020, 27(16):1334-1339.
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