IDEAS home Printed from https://ideas.repec.org/p/ags/aaea26/404692.html

A Network Analysis of the U.S. Food Economy using the Agri-Food Economic Data System (AgFEDS)

Author

Listed:
  • Scherpf, Erik
  • Zachary, Chandler

Abstract

Recent disruptions to food supply chains have renewed interest in how shocks propagate through the U.S. food economy and which sectors occupy structurally important positions within it. This paper uses the USDA Economic Research Service Agri-Food Economic Data System (Ag-FEDS) to characterize the production network of the U.S. food economy and to connect that network structure to the USDA Food Dollar. We analyze the network along three dimensions: direction of propagation, depth of linkage, and conditioning on final food demand. Using measures based on input-output multiplier analysis, Domar weights, and related network centrality concepts, we examine both the overall food economy and the distinct production networks supporting food at home and food away from home. We also use the annual AgFEDS series from 2007 to 2024 to study the stability of these structural relationships over time. Conceptually, the paper shows how Food Dollar industry-group results can be decomposed into value-added intensity, food-conditional network centrality, and final-demand orientation, providing a bridge between Food Dollar accounting and the production-network literature.

Suggested Citation

  • Scherpf, Erik & Zachary, Chandler, 2026. "A Network Analysis of the U.S. Food Economy using the Agri-Food Economic Data System (AgFEDS)," 2026 Annual Meeting, July 26 - 28, 2026, Kansas City, Missouri 404692, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea26:404692
    DOI: 10.22004/ag.econ.404692
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/404692/files/177642_195351_115232_AAEA_-_Production_Network_-_Scherpf.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.404692?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Girish Bahal & Damian Lenzo, 2023. "Beyond Domar Weights: A New Measure of Systemic Importance in Production Networks ," CAMA Working Papers 2023-30, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, revised May 2024.
    2. Canning, Patrick, "undated". "A Revised and Expanded Food Dollar Series: A Better Understanding of Our Food Costs," Economic Research Report 262243, United States Department of Agriculture, Economic Research Service.
    3. Charles R. Hulten, 1978. "Growth Accounting with Intermediate Inputs," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 45(3), pages 511-518.
    4. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Journal of Economic Perspectives, American Economic Association, vol. 28(4), pages 23-48, Fall.
    5. Nikola Dacic & Marko Melolinna, 2022. "The size-centrality relationship in production networks," Bank of England Staff Working Paper series 994, Bank of England.
    6. David Rezza Baqaee & Emmanuel Farhi, 2019. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," Econometrica, Econometric Society, vol. 87(4), pages 1155-1203, July.
    7. Rehkamp, Sarah & Zachary, James Chandler & Baker, Quinton & Canning, Patrick, 2026. "Documentation for the Agri-Food Economic Data System (Ag-FEDS): Multiplier Model Applications," Technical Bulletins 396235, United States Department of Agriculture, Economic Research Service.
    8. Daron Acemoglu & Ufuk Akcigit & William Kerr, 2016. "Networks and the Macroeconomy: An Empirical Exploration," NBER Macroeconomics Annual, University of Chicago Press, vol. 30(1), pages 273-335.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bougheas, Spiros & Harvey, David I. & Kirman, Alan & Nelson, Douglas, 2024. "Systemic risk in banking, fire sales, and macroeconomic disasters," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    2. Ernest Liu & Aleh Tsyvinski, 2021. "Dynamical Structure and Spectral Properties of Input-Output Networks," Working Papers 2021-13, Princeton University. Economics Department..
    3. Ernesto Pasten & Raphael S. Schoenle & Michael Weber & Michael Weber, 2017. "Price Rigidities and the Granular Origins of Aggregate Fluctuations," CESifo Working Paper Series 6619, CESifo.
    4. Christian Höynck, 2025. "Production networks and the flattening of the Phillips curve," Temi di discussione (Economic working papers) 1492, Bank of Italy, Economic Research and International Relations Area.
    5. Becker, Raphael Niklas & Henkel, Marcel, 2020. "The role of key regions in spatial development," DICE Discussion Papers 331, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    6. Vallès Codina, Oriol, 2023. "Business cycles, sectoral price stabilization, and climate change mitigation: A model of multi-sector growth in the tradition of the Bielefeld disequilibrium approach," Journal of Economic Behavior & Organization, Elsevier, vol. 216(C), pages 636-653.
    7. Nikola Dacic & Marko Melolinna, 2022. "The size-centrality relationship in production networks," Bank of England Staff Working Paper series 994, Bank of England.
    8. Ernesto Pastén & Raphael Schoenle & Michael Weber, 2017. "Price Rigidity and the Origins of Aggregate Fluctuations," NBER Working Papers 23750, National Bureau of Economic Research, Inc.
    9. Michael Weber & Ali Ozdagli, 2016. "Monetary Policy Through Production Networks: Evidence from the Stock Market," 2016 Meeting Papers 148, Society for Economic Dynamics.
    10. Julian Di Giovanni & Galina Hale, 2022. "Stock Market Spillovers via the Global Production Network: Transmission of U.S. Monetary Policy," Journal of Finance, American Finance Association, vol. 77(6), pages 3373-3421, December.
    11. Silva, Alvaro & Caraiani, Petre & Miranda-Pinto, Jorge & Olaya-Agudelo, Juan, 2024. "Commodity prices and production networks in small open economies," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    12. Glenn Magerman & Karolien De Bruyne & Emmanuel Dhyne & Jan Van Hove, 2016. "Heterogeneous firms and the micro origins of aggregate fluctuations," Working Paper Research 312, National Bank of Belgium.
    13. Das, Sonali & Magistretti, Giacomo & Pugacheva, Evgenia & Wingender, Philippe, 2022. "Sectoral spillovers across space and time," Journal of Macroeconomics, Elsevier, vol. 72(C).
    14. Seyit Kerimkhulle & Natalia Obrosova & Alexander Shananin & Gulmira Azieva, 2022. "The Nonlinear Model of Intersectoral Linkages of Kazakhstan for Macroeconomic Decision-Making Processes in Sustainable Supply Chain Management," Sustainability, MDPI, vol. 14(21), pages 1-21, November.
    15. Daron Acemoglu & Asuman Ozdaglar & Alireza Tahbaz-Salehi, 2017. "Microeconomic Origins of Macroeconomic Tail Risks," American Economic Review, American Economic Association, vol. 107(1), pages 54-108, January.
    16. Pasten, Ernesto & Schoenle, Raphael & Weber, Michael, 2017. "Price rigidities and the granular origins of aggregate fluctuations," Working Paper Series 2102, European Central Bank.
    17. Caraiani, Petre, 2019. "Oil shocks and production network structure: Evidence from the OECD," Energy Economics, Elsevier, vol. 84(C).
    18. Florentine Schwark & Andreas Tryphonides, 2022. "Digitalization and Resilience to Disaggregate Shocks," University of Cyprus Working Papers in Economics 08-2022, University of Cyprus Department of Economics.
    19. Emmanuel Dhyne & Ayumu Ken Kikkawa & Glenn Magerman, 2022. "Imperfect Competition in Firm-to-Firm Trade," Journal of the European Economic Association, European Economic Association, vol. 20(5), pages 1933-1970.
    20. Grazzini, Jakob & Spelta, Alessandro, 2022. "An empirical analysis of the global input–output network and its evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).

    More about this item

    Keywords

    ;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea26:404692. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.