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基于中国京津冀地区碳排放流动网络中路径上的级联效应识别关键部门。

Identifying key sectors based on cascading effect along paths in the embodied CO emission flow network in Beijing-Tianjin-Hebei region, China.

机构信息

School of Economics and Management, China University of Geosciences, Beijing, 100083, China.

Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing, 100083, China.

出版信息

Environ Sci Pollut Res Int. 2020 May;27(14):17138-17151. doi: 10.1007/s11356-020-08217-1. Epub 2020 Mar 7.


DOI:10.1007/s11356-020-08217-1
PMID:32146674
Abstract

The emission of carbon dioxide (CO) is a serious environmental issue, especially in Beijing-Tianjin-Hebei region. Unlike previous studies that mainly consider the bilateral and direct connection between two sectors, this study identifies path-based key sectors by considering the cascading effect of a sector on other sectors on paths of the entire economic system. We first construct an embodied CO emission flow network of Beijing-Tianjin-Hebei region, combining environmental input-output analysis and complex network theory. Then, the path-based key sectors are identified by traversing the path of each sector in the network based on cascading failure theory and hypothesis extraction method. On the one hand, the results show that a small number of sectors shoulder a large proportion of the embodied CO emission flows from both path and sector perspectives. On the other hand, we identify some path-based key sectors that did not receive enough attention from the sector perspective. Additionally, the sum of the embodied CO emission flows in about 30 steps accounts for 90% of the total embodied CO emission flows on its supply chain path. To more effectively reduce carbon emission, sectors that connect these 30 steps should be concerned in some policy recommendations. The method proposed in this paper can complement existing methods and contribute to further reducing CO emissions in the Beijing-Tianjin-Hebei region.

摘要

二氧化碳(CO)排放是一个严重的环境问题,特别是在北京-天津-河北地区。与之前主要考虑两个部门之间双边直接联系的研究不同,本研究通过考虑部门对整个经济系统路径上其他部门的级联效应,确定基于路径的关键部门。我们首先结合环境投入产出分析和复杂网络理论,构建了京津冀地区的隐含 CO 排放流网络。然后,根据级联失效理论和假设提取方法,遍历网络中每个部门的路径,确定基于路径的关键部门。一方面,结果表明,从路径和部门的角度来看,少数部门承担了很大比例的隐含 CO 排放流。另一方面,我们确定了一些从部门角度来看没有得到足够重视的基于路径的关键部门。此外,供应链路径上大约 30 步的隐含 CO 排放流之和占总隐含 CO 排放流的 90%。为了更有效地减少碳排放,在一些政策建议中应关注连接这些 30 步的部门。本文提出的方法可以补充现有方法,有助于进一步减少京津冀地区的 CO 排放。

相似文献

[1]
Identifying key sectors based on cascading effect along paths in the embodied CO emission flow network in Beijing-Tianjin-Hebei region, China.

Environ Sci Pollut Res Int. 2020-3-7

[2]
The embodied CO transfer across sectors of cities in Jing-Jin-Ji region: combining multi-regional input-output analysis with complex network analysis.

Environ Sci Pollut Res Int. 2021-8

[3]
[Dynamic Analysis on Carbon Metabolism of the Northern Region of China Under the Background of Carbon Emission Trading Policy].

Huan Jing Ke Xue. 2024-2-8

[4]
Forecasting the energy demand and CO emissions of industrial sectors in China's Beijing-Tianjin-Hebei region under energy transition.

Environ Sci Pollut Res Int. 2024-1

[5]
Critical sectors and paths for climate change mitigation within supply chain networks.

J Environ Manage. 2018-8-11

[6]
[Spatial temporal differentiation of product-based and consumption-based CO2 emissions and balance in the Beijing-Tianjin-Hebei region: an economic input- output analysis].

Huan Jing Ke Xue. 2014-9

[7]
Supply-side carbon accounting and mitigation analysis for Beijing-Tianjin-Hebei urban agglomeration in China.

J Environ Manage. 2019-7-17

[8]
Structural evolution of China's intersectoral embodied carbon emission flow network.

Environ Sci Pollut Res Int. 2021-5

[9]
Spatiotemporal dynamics and influencing factors of CO emissions under regional collaboration: Evidence from the Beijing-Tianjin-Hebei region in China.

Environ Pollut. 2024-9-15

[10]
Study on embodied CO transfer between the Jing-Jin-Ji region and other regions in China: a quantification using an interregional input-output model.

Environ Sci Pollut Res Int. 2018-3-8

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