Research on global natural graphite trade risk countermeasures based on the maximum entropy principle

石墨 熵(时间箭头) 最大熵原理 经济 环境科学 自然资源经济学 材料科学 数学 统计 热力学 物理 复合材料
作者
Xingxing Wang,Huajiao Li,Depeng Zhu,Weiqiong Zhong,Wanli Xing,Anjian Wang
出处
期刊:Resources Policy [Elsevier BV]
卷期号:74: 102367-102367 被引量:15
标识
DOI:10.1016/j.resourpol.2021.102367
摘要

The growing global trade disputes have raised concerns about the supply security of key minerals needed for strategic emerging industries. As one of the key minerals for many economically powerful countries, the international trade of graphite is exposed to high supply risks. Each country should not only pay attention to the paths through which trade risks propagate but also increasingly focus on how resource redistribution between countries can reduce the losses due to supply risks. Therefore, based on the construction of global graphite trade network and the principle of maximum entropy, this paper constructs a graphite trade redistribution model. Taking the trade relationship with larger export share and typical trading countries (China, the largest exporter, and Germany, a major intermediary country) as examples and from the global perspective, the resource redistribution among graphite-trading countries under different supply risk scenarios is simulated to analyze the changes in trade relations among countries. The results provide an important reference for national resource recovery after a graphite supply risk and a new way of thinking for those who study international trade. • A graphite trade redistribution model is constructed based the principle of maximum entropy. • The resource redistribution among graphite-trading countries under different supply risk scenarios is simulated. • Provide an important reference for national resource recovery after a graphite supply risk. • Provide a new way of thinking for the risk research of international trade.

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
郭自同完成签到,获得积分10
刚刚
刚刚
贪玩哈密瓜关注了科研通微信公众号
1秒前
独特鸽子完成签到 ,获得积分10
1秒前
花開发布了新的文献求助10
2秒前
薯片完成签到,获得积分10
3秒前
赘婿应助复杂曼梅采纳,获得10
3秒前
zcx发布了新的文献求助10
6秒前
杨杨得亿完成签到,获得积分10
7秒前
顾矜应助uj采纳,获得10
8秒前
8秒前
上上签发布了新的文献求助10
9秒前
发发发应助王欣茹采纳,获得30
10秒前
du完成签到 ,获得积分10
10秒前
蓝天发布了新的文献求助30
11秒前
12秒前
三岁完成签到 ,获得积分10
15秒前
17秒前
扶光完成签到,获得积分10
18秒前
18秒前
18秒前
19秒前
逆天的矿泉水完成签到,获得积分10
19秒前
20秒前
今后应助zcx采纳,获得10
20秒前
21秒前
21秒前
36hours完成签到,获得积分10
22秒前
23秒前
px发布了新的文献求助10
23秒前
笑一下蒜了完成签到,获得积分10
25秒前
25秒前
搜集达人应助过时的访梦采纳,获得10
25秒前
alexisgood发布了新的文献求助10
26秒前
叶子发布了新的文献求助10
26秒前
27秒前
霁雨花君发布了新的文献求助10
29秒前
30秒前
打打应助px采纳,获得10
31秒前
xu完成签到,获得积分10
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6356344
求助须知:如何正确求助?哪些是违规求助? 8171234
关于积分的说明 17203500
捐赠科研通 5412276
什么是DOI,文献DOI怎么找? 2864564
邀请新用户注册赠送积分活动 1842098
关于科研通互助平台的介绍 1690360