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Visualizing Spatial Economic Supply Chains to Enhance Sustainability and Resilience

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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)

Abstract

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.

Suggested Citation

  • Yicheol Han & Stephan J. Goetz & Claudia Schmidt, 2021. "Visualizing Spatial Economic Supply Chains to Enhance Sustainability and Resilience," Sustainability, MDPI, vol. 13(3), pages 1-15, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1512-:d:491043
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    References listed on IDEAS

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