Visualizing Spatial Economic Supply Chains to Enhance Sustainability and Resilience
Yicheol Han (),
Stephan J. Goetz () and
Claudia Schmidt ()
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Yicheol Han: Department of Agricultural and Rural Policy Research, Korea Rural Economic Institute, Naju-si, Jeollanam-do 58217, Korea
Stephan J. Goetz: Northeast Regional Center for Rural Development and Department of Agricultural Economics, Sociology, and Education, Pennsylvania State University, University Park, PA 16802-5602, USA
Claudia Schmidt: Department of Agricultural Economics, Sociology, and Education, Pennsylvania State University, University Park, PA 16802-5602, USA
Sustainability, 2021, vol. 13, issue 3, 1-15
This article presents a spatial supply network model for estimating and visualizing spatial commodity flows that used data on firm location and employment, an input–output table of inter-industry transactions, and material balance-type equations. Building on earlier work, we proposed a general method for visualizing detailed supply chains across geographic space, applying the preferential attachment rule to gravity equations in the network context; we then provided illustrations for U.S. extractive, manufacturing, and service industries, also highlighting differences in rural–urban interdependencies across these sectors. The resulting visualizations may be helpful for better understanding supply chain geographies, as well as business interconnections and interdependencies, and to anticipate and potentially address vulnerabilities to different types of shocks.
Keywords: geography; networks; pandemics; supply chain locations; input–output table (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:3:p:1512-:d:491043
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