资源与产业 ›› 2023, Vol. 25 ›› Issue (4): 12-25.DOI: 10.13776/j.cnki.resourcesindustries.20230718.001

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中国多区域隐含碳网络的结构特征研究

董婷杰1, 李丽2 ,李阿勇3,许沛丰3,欧文浩4,王震1   

  1. (1.北京林业大学 环境科学与工程学院,北京 100083;2.北京交通大学 环境学院,北京 100044;
    3.国家电网有限公司,北京 100031;4.国网数字科技控股有限公司,北京 100053)
  • 收稿日期:2023-01-19 修回日期:2023-06-18 出版日期:2023-08-20 发布日期:2023-09-12
  • 通讯作者: 王震,博士、副教授,主要从事产业生态学研究。E-mail:wangzhen@bjfu.edu.cn
  • 作者简介:董婷杰,硕士生,主要从事投入产出低碳研究。E-mail:294177518@qqcom

STRUCTURAL FEATURES OF CHINA'S MULTI-REGIONAL EMBODIED CARBON NETWORK

DONG Tingjie1, LI Li2, LI Ayong3, XU Peifeng3, OU Wenhao4, WANG Zhen1   

  1. (1.College of Environmental Science & Engineering, Beijing Forestry University, Beijing 100083, China; 
    2.School of Environment, Beijing Jiaotong University, Beijing 100044, China; 
    3.State Grid Corporation of China, Beijing 100031, China; 
    4.State Grid Digital Technology Holding Co., LTD., Beijing 100053, China)
  • Received:2023-01-19 Revised:2023-06-18 Online:2023-08-20 Published:2023-09-12

摘要: 为了探究我国多区域隐含碳网络的结构性特征,本文首先利用环境拓展投入产出模型构建我国多区域隐含碳网络,其次应用结构路径介数中心性方法确定隐含碳网络中的二氧化碳关键传输部门,然后再运用结构路径分析方法识别二氧化碳关键传输路径,并基于2017年我国多区域投入产出表等数据对我国多区域隐含碳网络进行深入研究。研究结果表明:1)2017年在我国多区域隐含碳网络中,隐含碳传输排名前30位的省级产业部门有10个是金属冶炼和加工业部门,8个是电力热力生产和加工业部门。这18个关键传输部门由于大量使用排放密集型上游产业部门的高能耗产品作为中间投入,导致这些部门向下游产业部门传输了大量的二氧化碳。2)2017年在我国多区域隐含碳网络中,介数中心性排名前3位的省份分别为江苏省、山东省、河南省。在各省隐含碳传输供应链中,非金属矿物制品业→建筑业、电力热力生产和加工业→建筑业、电力热力生产和加工业→其他服务业是我国大多数省份隐含碳传输的关键传输路径。3)由于我国多区域隐含碳网络中的一些隐含碳关键传输部门无法使用基于生产端与消费端的传统研究方法加以识别,需要使用结构路径介数中心性方法,通过研究多区域隐含碳网络中各产业部门的介数中心性,以有效识别出多区域隐含碳网络中的隐含碳关键传输部门。

关键词: 多区域隐含碳网络, 环境拓展投入产出模型, 结构路径介数中心性方法, 结构路径分析(SPA)

Abstract: This paper, in order to study the structural features of embodied carbon network in China's multiple regions, uses environmental expansion input-output model to establish China's multiregional embodied carbon network, and applies structural path betweenness centrality to determine the key carbon dioxide transmission sectors in the embodied carbon network,identifying critical carbon dioxide transmission pathways using structural path analysis method,and in-depth research was conducted on China's multi-regional embodied carbon network based on data such as the 2017 multi-regional input-output table.Among China's multi-region embodied carbon network in 2017, the top 30 provincial industrial sectors in transmission embodied carbon include 10 metallic smelting and processing, and 8 electricity and thermal production and processing industrial sectors, who heavily use highly-energy-consuming products from the upper stream industrial sectors as middle input, leading to vast quantity of carbon dioxide transmitted to the down-stream industrial sectors. The top 3 provinces in the betweenness centrality of China's multi-regional embodied carbon network in 2017 are Jiangsu, Shandong and Henan. In the supply chain of embodied carbon transmission in various provinces, the key transmission path for embodied carbon transmission in most provinces of China is the non-metallic mineral products industry → construction industry, power and heat production and processing industry → construction industry, power and heat production and processing industry → other service industries. Some embodied carbon key transmission sectors can not be recognized by using the traditional methods based on production and consumption ends, which can be reached through structural path betweenness centrality. 

Key words: multi-regional embodied carbon network, environmental expansion input-output model, structural path betweenness centrality method, structural path analysis (SPA)

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