全球循环的时空和多层贸易网络模式
Litao Liu1, Xin Ouyang1,2,3, Tianming Gao4
1Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Environmental science & technology
|August 16, 2024
概括
全球贸易大幅增长,中国,德国和美国是主要参与者. 集中的矿石出口造成贸易不确定性,影响绿色转型供应链.
科学领域:
- 工业生态学 工业生态学
- 网络科学 网络科学
- 供应链分析 供应链分析
背景情况:
- 在可再生能源和低碳技术中对关键材料的需求不断增长.
- 之前的贸易流研究缺乏时空覆盖和最终使用产品的纳入.
- 现有的网络模型经常将生命周期阶段简化为单个层.
研究的目的:
- 分析1988年至2020年全球循环的时空和多层贸易网络模式.
- 确定国际贸易中的关键参与者和结构变化.
- 调查供应链中不同生命周期阶段的相互联系.
主要方法:
- 综合材料流分析 (MFA) 与复杂网络分析 (CNA).
- 开发了一个多层网络框架来建模全球循环.
- 分析了跨越1988年至2020年的贸易数据.
主要成果:
- 在32年的时间里,观察到全球贸易的实质性增长和结构演变.
- 确定中国,德国和美国在各种贸易网络层中的关键参与者.
- 发现强化合金,电池和材料之间的层间关系,表明协同贸易.
- 突出了缩矿石出口商与后期生命周期阶段之间的脱节,导致贸易波动.
结论:
- 多层网络模型为分析关键材料贸易动态提供了强大的框架.
- 矿石出口的集中和下游阶段的有限参与,在供应链中造成了脆弱性.
- 该方法可应用于绿色能源转型所必需的其他关键材料.
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