Nassar Nedal T, Brainard Jamie, Gulley Andrew, Manley Ross, Matos Grecia, Lederer Graham, Bird Laurence R, Pineault David, Alonso Elisa, Gambogi Joseph, Fortier Steven M
National Minerals Information Center, U.S. Geological Survey, Reston, VA, USA.
Natural Systems Analysts Inc., Winter Park, FL, USA.
Sci Adv. 2020 Feb 21;6(8):eaay8647. doi: 10.1126/sciadv.aay8647. eCollection 2020 Feb.
Trade tensions, resource nationalism, and various other factors are increasing concerns regarding the supply reliability of nonfuel mineral commodities. This is especially the case for commodities required for new and emerging technologies ranging from electric vehicles to wind turbines. In this analysis, we use a conventional risk-modeling framework to develop and apply a new methodology for assessing the supply risk to the U.S. manufacturing sector. Specifically, supply risk is defined as the confluence of three factors: the likelihood of a foreign supply disruption, the dependency of U.S. manufacturers on foreign supplies, and the ability of U.S. manufacturers to withstand a supply disruption. The methodology is applied to 52 commodities for the decade spanning 2007-2016. The results indicate that a subset of 23 commodities, including cobalt, niobium, rare earth elements, and tungsten, pose the greatest supply risk. This supply risk is dynamic, shifting with changes in global market conditions.
贸易紧张局势、资源民族主义以及其他各种因素,正日益引发人们对非燃料矿产商品供应可靠性的担忧。对于从电动汽车到风力涡轮机等新兴技术所需的商品而言,情况尤其如此。在本分析中,我们使用传统的风险建模框架来开发并应用一种新方法,以评估美国制造业面临的供应风险。具体而言,供应风险被定义为三个因素的汇合:外国供应中断的可能性、美国制造商对外国供应的依赖程度,以及美国制造商承受供应中断的能力。该方法应用于2007年至2016年这十年间的52种商品。结果表明,包括钴、铌、稀土元素和钨在内的23种商品构成了最大的供应风险。这种供应风险是动态的,会随着全球市场状况的变化而变化。