新优质生产力驱动下的责任共担--中国省级隐含碳排放研究:一种新方法

IF 3.3 2区 社会学 Q2 ENVIRONMENTAL SCIENCES Sustainable Futures Pub Date : 2024-09-18 DOI:10.1016/j.sftr.2024.100303
Yingying Du , Haibin Liu , Hui Huang , Jiazeng Zhang , Yajie Wang
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引用次数: 0

摘要

碳排放责任在相关方之间的分配问题备受关注。本研究提出了一种称为 CVAT(直接碳排放量、增加值和技术水平)的综合分担系数方法,以提高新生产力标准下责任分担的准确性和公平性。本研究利用环境扩张多地区投入产出(EEMRIO)模型,评估了中国过去二十年各省的隐性碳排放量。研究利用社会网络分析(SNA)技术调查了隐含碳转移网络的特征。主要发现包括(1)CVAT 方法确定的责任分担系数符合公平和效率原则,使隐含碳排放责任分配更加公平,有利于实现公平的碳减排。(2)在研究期内,全国隐含碳排放量呈现上升趋势,从 2002 年的 33.05 亿吨增加到 2017 年的 97.26 亿吨,其中山东、河北、江苏三省排放量居全国前列。(3)东部沿海地区和西部地区为碳净转移输出地区,中部、东北和西南地区为碳净转移输入地区。(4)隐含的碳转移网络在整个研究期间表现出相对稳定性,山东、河北、江苏和内蒙古成为主要的碳转移省份。该研究成果对公正、准确地评估碳排放责任和推进全球碳减排工作具有重要意义。
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Research on provincial implied carbon emissions in China under the shared responsibility driven by new quality productivity: A new approach
The allocation of responsibility for carbon emissions among involved parties has garnered significant attention. This study proposes a comprehensive sharing coefficient methodology known as CVAT (direct carbon emissions, value added, and technology level) to enhance the accuracy and equity of responsibility sharing driven by the new productivity standard. This study utilizes the environmental expansion multi-region input-output (EEMRIO) model to assess China's implicit provincial carbon emissions over the previous two decades. The study investigates the characteristics of the implied carbon transfer network using social network analysis (SNA) techniques. Key findings include: (1) The CVAT method's determination of responsibility sharing coefficients aligns with fairness and efficiency principles, resulting in a more equitable distribution of implied carbon emission responsibilities conducive to achieving fair carbon emission reduction. (2) Over the research period, national implied carbon emissions exhibited an upward trajectory, increasing from 3.305 billion tons in 2002 to 9.726 billion tons in 2017, with Shandong, Hebei, and Jiangsu provinces ranking among the top emitters in China. (3) Eastern coastal and western regions function as net carbon transfer out regions, while the central, northeast, and southwest regions act as net carbon transfer in regions. (4) The implied carbon transfer network demonstrated relative stability throughout the study period, with Shandong, Hebei, Jiangsu, and Inner Mongolia emerging as major carbon transfer provinces. The study's outcomes hold significant implications for the impartial and accurate assessment of carbon emission responsibilities and the advancement of global carbon emission reduction efforts.
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来源期刊
Sustainable Futures
Sustainable Futures Social Sciences-Sociology and Political Science
CiteScore
9.30
自引率
1.80%
发文量
34
审稿时长
71 days
期刊介绍: Sustainable Futures: is a journal focused on the intersection of sustainability, environment and technology from various disciplines in social sciences, and their larger implications for corporation, government, education institutions, regions and society both at present and in the future. It provides an advanced platform for studies related to sustainability and sustainable development in society, economics, environment, and culture. The scope of the journal is broad and encourages interdisciplinary research, as well as welcoming theoretical and practical research from all methodological approaches.
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