Journal Published Online: 10 November 2020
Volume 4, Issue 3

Measuring Manufacturing’s Significance in the USA

CODEN: SSMSCY

Abstract

Economic value added is a primary metric for measuring manufacturing activity; however, this metric and others exclude approximately half of the economic activity necessary for producing manufactured goods. With the recent disruption in the supply of goods and services by the coronavirus disease pandemic, the criticality of these supply chains to production has become more apparent. Measuring and understanding these additional activities is foundational to reducing the effect of supply chain disruption. Additionally, manufacturing supply chains are fundamental to any response to the virus, including the production of masks, tests, and eventually a vaccine. When looked at closely, manufacturing stands out as a key driver of our economy. New manufacturing technologies can be leveraged to differentiate products in multiple ways, resulting in a greater variety of products made more efficiently, with less environmental impact and higher quality. In addition, the digitization of manufacturing supports supply chains that are more connected, anticipatory, and agile. Metrics are needed that better reflect the role manufacturing plays in society, better identify the social gains that manufacturing produces, and better establish the total economic activity that drives production. In this paper, we propose a macroeconomic metric to better measure the influence of manufacturing on our economy as an example of one such measure. We argue that there is a need for solidifying similar radical changes to our current ways of measuring manufacturing’s relevance and emphasizing the impact of new technologies that support the manufacturing economic sector.

Author Information

Morris, K. C.
Systems Integration Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
Thomas, Douglas S.
Applied Economics Office, National Institute of Standards and Technology, Gaithersburg, MD, USA
Pages: 5
Price: Free
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Details
Stock #: SSMS20200054
ISSN: 2520-6478
DOI: 10.1520/SSMS20200054