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Ross Manley

Publications and source records attributed to Ross Manley.

3 recordsLinked to original sources

A model to assess industry vulnerability to disruptions in mineral commodity supplies

Mineral commodity supply disruptions have the potential to ripple through and impact the economy in many ways. Industrial vulnerability is a crucial component of mineral commodity criticality tools as it provides guidance on the economic importance of these commodities to regional criticality indices. Using an economic model that links mineral commodity end-use data to input-output tables and a linear optimization routine, reductions in economic output of individual industries and of the overall economy may be calculated. Such a model can also help to identify industries, be they direct or indirect consumers of the mineral commodities in question, that are most vulnerable to specific mineral commodity supply disruptions at different disruption magnitudes. In this assessment, 56 commodities’ end-use data for the year 2012 were paired with the United States’ detail-level Benchmark Input-Output accounts to build an industrial vulnerability model. The model does not evaluate the likelihood of specific supply disruptions but can be used to assess potential industry impacts for a range of scenarios. The model findings indicate that when the supplies of mineral commodities such as mica, lithium, and fluorspar were disrupted, large overall economic decline was paired with a large decline in many industries. On the other hand, gold, lead, and rhenium disruptions resulted in low declines and few disrupted industries.

Resources Policy

Examining industry vulnerability: A focus on mineral commodities used in the automotive and electronics industries

Automotive manufacturing is material-intensive and dependent on a broad range of mineral commodities. Moreover, the automotive manufacturing industries are reliant on complex and sometimes opaque multi-tiered global supply chains. Among the many industries on which automotive supply chains depend are the electronics and semiconductor industries , which are themselves material-intensive and reliant on opaque global supply chains. A linear programming model built on mineral end-use data and input-output tables provides a tool for investigating inter-industry relationships between the two sets of industry sectors and industrial vulnerability to mineral commodity supply disruptions. Supply disruptions in aluminum, magnesium metal, and zinc—metals used in the body-in-white, wheels and other parts—have significant potential to disrupt the automotive industries. On the other hand, supply disruptions in gallium, tellurium, and indium for example—semiconductor elements used in power electronics, screen coatings and other parts—have significant potential to impact the electronics and computer industries. More interestingly, case studies of the automotive and electronics industries show how supply disruptions in mineral commodities that are generally considered semiconductor materials, such as gallium, can significantly impact the automotive sector.

Resources Policy

Evaluating the mineral commodity supply risk of the U.S. manufacturing sector

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 utilize 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. Importantly, this supply risk is dynamic, shifting with changes in global market conditions.

Science Advances