《Science of the Total Environment》｜黄河流域省一级的碳足迹和具体的碳转移

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摘要：中国黄河流域生态保护和优质开发是2019年提出的国家战略。根据中国到2030年实现碳峰值和到2060年实现碳中和的目标，明确每个省份的碳足迹和体现碳排放的转移路径，对于该地区的碳减排战略至关重要。本文采用投入产出模式和多区域投入产出模式，对黄河流域9个省份的碳足迹进行了核算，并估算了各省与工业部门之间碳转移的量。应用社交网络分析来识别三大产业的省际碳排放转移中的关键行业。我们发现，2017年黄河流域人均碳足迹比2012年下降了23.4%。在各省碳足迹的部门构成中，"石油、焦化、核燃料和化工产品的加工和制造"、"建筑"、"其他服务"和"金属加工和金属、非金属产品"是排放比例较高的四个部门。黄河流域中下游省份之间的碳排放转移量远远高于上游省份之间的碳排放转移。在九省三大产业的碳排放转移网络中，陕西第二产业的集中度最高，是重中之重的产业。本研究为制定黄河流域碳减排规划提供了理论依据和数据支持。

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关键词：IO 模型;MRIO 模型;网络分析;碳足迹;具体化的二氧化碳转移

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Abstract：The ecological conservation and high-quality development of China's Yellow River Basin is a national strategy proposed in 2019. Under China's goal of achieving a carbon peak by 2030 and carbon neutrality by 2060, clarifying the carbon footprint of each province and the transfer paths of embodied carbon emissions is crucial to the carbon reduction strategy for this region. This paper uses input-output model and multi-regional input-output model to account for the carbon footprint of nine provinces in the Yellow River Basin, and to estimate the amount of embodied carbon transfer between provinces and industrial sectors. Social network analysis is applied to identify the critical industries in the inter-provincial embodied carbon emission transfers from the three major industries. We found that the per capita carbon footprint of the Yellow River Basin decreased by 23.4% in 2017 compared to 2012. Among the sectoral composition of the carbon footprint of each province, “Processing and manufacturing of petroleum, coking, nuclear fuel, and chemical products”, “Construction”, “Other services”, and “Metal processing and metal, non-metallic products” are the four sectors with a higher proportion of emissions. The embodied carbon emission transfer between the provinces in middle and lower reaches of the Yellow River Basin is much higher than that between the upstream provinces. Among carbon emission transfer network of three major industries in nine provinces，the secondary industry in Shaanxi has the highest centrality and is the most critical industry. This study provides a theoretical basis and data support for formulating carbon emission reduction plans in the Yellow River Basin.

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Key words:IO model; MRIO model; Social network analysis; Carbon footprint; Embodied  transfer

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期刊简介： 2021年影响因子/JCR分区：7.963/Q1  在环境科学的274个影响系数中排名第25位

主要发表方向：《 SCIENCE OF THE TOTAL ENVIRONMENT》是一本国际多学科期刊，旨在出版关于整个环境的新颖、假设驱动和高影响的研究，它连接大气、岩石圈、水圈、生物圈和人类圈。

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原文链接：

https://doi.org/10.1016/j.scitotenv.

2021.149993

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