Impact of CBAM on carbon emission reduction in global steel foreign trade: projections based on the embodied carbon emission intensity of major countries

发射强度 碳纤维 还原(数学) 强度(物理) 经济 温室气体 材料科学 国际经济学 数学 复合材料 地质学 物理 光学 光致发光 复合数 光电子学 海洋学 几何学
作者
Wei Li,Xing Liu,Xiu'e Yuan,Can Lu
出处
期刊:Energy Sources Part B-economics Planning and Policy [Informa]
卷期号:19 (1) 被引量:1
标识
DOI:10.1080/15567249.2024.2360443
摘要

The EU devised the Carbon Border Adjustment Mechanism (CBAM), under which carbon tariffs will be applied on select imports of carbon-concentrated goods after 2026 depending on embodied carbon emissions. The EU's steel policy surely affects the global steel trade as it is the largest importer of steel in the world, and to promote the development of carbon-reducing technologies because of their high carbon tariffs. To determine the impact of CBAM on the embodied carbon emissions in global steel trade, use a multi-regional input-output model to calculate the embodied carbon emissions in the trade of major steel producing economies, and then project the embodied carbon emissions intensity of these economies during the period of 2026–2034 by the Bat Algorithm Optimized Extreme Learning Machine based on the decomposed drivers when CBAM is gradually implemented. After the duty-free quota is eliminated in 2034, CBAM can encourage the major steel producing economies to reduce the embodied carbon emissions in the steel exports to the EU by 25.9 million tons and the embodied carbon emissions in the steel exports to the whole world by 625.9 million tons annually, which is a reduction of 31% and 21% comparing with the no-CBAM scenario respectively. Make some recommendations based on the calculations discussed above and the typical analysis of each economy.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
111发布了新的文献求助10
1秒前
贪玩果汁发布了新的文献求助10
1秒前
祝你发财完成签到,获得积分10
1秒前
Heyley发布了新的文献求助10
2秒前
3秒前
小二郎应助Ancestor采纳,获得10
3秒前
星辰大海应助Zhang采纳,获得10
5秒前
熙熙完成签到,获得积分10
5秒前
QJL完成签到,获得积分20
7秒前
7秒前
狸花小喵完成签到,获得积分10
8秒前
8秒前
孤独完成签到 ,获得积分20
10秒前
打打应助hyodong采纳,获得10
10秒前
11秒前
Gavin发布了新的文献求助10
11秒前
无限的雨梅完成签到 ,获得积分10
12秒前
阿拉发布了新的文献求助10
12秒前
lololing完成签到,获得积分10
15秒前
17秒前
17秒前
Shin发布了新的文献求助10
19秒前
kekemu完成签到 ,获得积分10
19秒前
20秒前
hyodong发布了新的文献求助10
21秒前
Mika完成签到 ,获得积分10
22秒前
Lpyyy完成签到,获得积分10
24秒前
科目三应助儒雅芙蓉采纳,获得10
24秒前
家欣发布了新的文献求助10
24秒前
25秒前
热情白晴完成签到,获得积分20
25秒前
25秒前
ricardo应助xs采纳,获得10
26秒前
26秒前
28秒前
思敏完成签到,获得积分20
30秒前
30秒前
30秒前
天天快乐应助家欣采纳,获得10
31秒前
31秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 2000
Research for Social Workers 1000
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
The Social Psychology of Citizenship 600
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5912187
求助须知:如何正确求助?哪些是违规求助? 6831436
关于积分的说明 15785215
捐赠科研通 5037204
什么是DOI,文献DOI怎么找? 2711599
邀请新用户注册赠送积分活动 1661950
关于科研通互助平台的介绍 1603905