黄河流域城市群碳足迹及隐含碳转移研究

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摘要选择黄河流域5个国家级城市群合计71个城市构建了2017年环境扩展的MRIO模型,评估了包括化石能源燃烧、煤炭开采逃逸、农业非能源排放等3个来源的碳足迹,分析了城市群之间以及城市群内部城市、部门之间的隐含碳转移.结果表明:5个城市群碳足迹总计约2478.34Mt,其中化石能源燃烧贡献了86.42%,是碳足迹的主要来源,煤炭开采逃逸和农业非能源排放亦不容忽视,分别贡献了10.09%和3.49%.煤炭开采和洗选业、金属冶炼和压延加工业、电力热力的生产和供应业是碳足迹的重点部门,生产和消费两个视角下合计分别占总碳足迹的62.67%和36.77%.金属冶炼和压延加工业、电力热力的生产和供应业是隐含碳输出的关键部门,输出量合计占城市群内隐含碳转移量的51.43%,批发零售和住宿餐饮业是输入的关键部门,占比为26.79%,金属冶炼和压延加工业→批发零售和住宿餐饮业是隐含碳主要转移路径.碳足迹和隐含碳转出的重点城市多为资源消耗型、重化工产业占比较高的城市,如鄂尔多斯、滨州等.隐含碳转入的重点城市为维持自身发展需要消耗大量其他城市的产品,如青岛、呼和浩特等.碳足迹主要集中在“几”字弯都市圈、山东半岛和中原城市群,三者碳足迹合计占比在生产和消费视角下分别达到了85.89%和85.02%,“几”字弯都市圈是隐含碳输出最大的城市群,输出量约占城市群间转移量的40.68%,中原城市群是隐含碳输入最多的城市群,输入量约占42.24%.研究结果可为制定和完善黄河流域城市群控碳政策和降碳措施提供更充分合理的依据.

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关键词 ：黄河流域, 城市群, 碳足迹, 隐含碳, 投入产出模型

Abstract：This study constructed a 2017 environmental expansion MRIO model about 71 cities in the national city clusters of the Yellow River Basin. The carbon footprint of three sources, including fossil energy combustion, coal mining escape, and agricultural non-energy emission was evaluated. The embodied carbon transfer between city clusters and between cities and sectors within the city cluster was analyzed. The results showed that: The total carbon footprint of 5 city clusters was about 2478.34 Mt fossil energy combustion contributed 86.42%, which was the main source of the carbon footprint. Coal mining escape and agriculture non-energy emission can’t be neglected, contributing 10.09% and 3.49% respectively. “Coal mining and washing”, “metal smelting and pressing”, and “electricity and heating power production and supply” were the key sector for carbon footprint, accounting for 62.67% and 36.77% of the total carbon footprint from the perspective of production and consumption respectively. “Metal smelting and pressing”, and “electricity and heating power production and supply” were the key export sectors for embodied carbon, accounting for 51.43% of the embodied carbon transfer within city cluster. “Wholesale, retail trade, accommodation and catering services” accounting 26.79% was the key import sector for embodied carbon. “Metal smelting and pressing”→“Wholesale, retail trade, accommodation and catering services” was the main transfer path for embodied carbon. The key cities for carbon footprint or export cities were mostly with a high proportion of resource-consuming and heavy chemical industries, such as Ordos, Binzhou. The key import cities consumed a lot of products from other cities to maintain development, such as Qingdao, Hohhot. The carbon footprint was mainly concentrated in Jiziwan, Shandong Peninsula and Zhongyuan. The combined carbon footprint accounted for 85.89% and 85.02% from the perspective of production and consumption respectively. Jiziwan was the city cluster which exported the most embodied carbon, accounting for about 40.68% of the embodied carbon transfer between city clusters. Zhongyuan accounting for 42.24% was the city cluster which imported the most embodied carbon. The results can provide the city clusters in the Yellow River Basin more reasonable basis for the formulation and improvement of carbon control policies and carbon reduction measures.

Key words： Yellow River Basin city cluster carbon footprint embodied carbon input-output model

收稿日期: 2023-11-07

PACS:

X24

基金资助:国家自然科学基金资助项目(72050001)

通讯作者: 李巍,教授,weili@bnu.edu.cn E-mail: weili@bnu.edu.cn

作者简介: 黄明辉(1999-),女,河南许昌人,北京师范大学硕士研究生,主要从事环境评价、规划与管理方向研究.发表论文1篇.huangminghui3255@163.com.

引用本文:

黄明辉, 李巍, 陆中桂, 康哲. 黄河流域城市群碳足迹及隐含碳转移研究[J]. 中国环境科学, 2024, 44(6): 3544-3552. HUANG Ming-hui, LI Wei, LU Zhong-gui, KANG ZHE. Carbon footprint and embodied carbon transfer of the city clusters in the Yellow River basin. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(6): 3544-3552.

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http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2024/V44/I6/3544

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