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Impact of COVID‐19 on Medium‐Term Export Prospects for Soybeans, Corn, Beef, Pork, and Poultry

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  • Mindy L. Mallory

Abstract

The COVID‐19 pandemic has altered life in innumerable ways in many countries across the globe. In this article I review what the virus did to patterns of US and Brazilian exports of major commodities during the first surge of the virus during April and May 2020, and also speculate on what may happen during the beginning of North American winter in late 2020. The analysis highlights how grains versus meats have been vulnerable to trade disruptions due to the coronavirus pandemic. US exports of beef and pork were particularly impacted by a wave of processing facility shutdowns in the wake of COVID‐19 outbreaks among workers. Poultry exports saw declines from their highs but remain strong, even though poultry‐processing facilities have also faced issues with outbreaks and shutdowns. Trends in 2020 grain and oilseed exports have not been affected by the pandemic.

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  • Mindy L. Mallory, 2021. "Impact of COVID‐19 on Medium‐Term Export Prospects for Soybeans, Corn, Beef, Pork, and Poultry," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(1), pages 292-303, March.
    • Handle: RePEc:wly:apecpp:v:43:y:2021:i:1:p:292-303
    DOI: 10.1002/aepp.13113
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    Cited by:

    1. Chalermpon Jatuporn, 2022. "Impact Assessment of the COVID-19 Pandemic on Shrimp Exports in Thailand: An Empirical Study Using Time Series Analysis," Sustainability, MDPI, vol. 14(24), pages 1-12, December.
    2. Getu Hailu, 2021. "COVID‐19 and food processing in Canada," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(2), pages 177-187, June.
    3. Ahn, Soojung & Steinbach, Sandro, 2022. "COVID-19 Trade Actions and Their Impact on the Agricultural and Food Sector," 2022 Allied Social Sciences Association (ASSA) Annual Meeting (Virtual), January 7-9, 2022 316789, Agricultural and Applied Economics Association.
    4. Dinggao Liu & Zhenpeng Tang & Yi Cai, 2022. "A Hybrid Model for China’s Soybean Spot Price Prediction by Integrating CEEMDAN with Fuzzy Entropy Clustering and CNN-GRU-Attention," Sustainability, MDPI, vol. 14(23), pages 1-22, November.
    5. James Rude, 2021. "COVID‐19 and the Canadian cattle/beef sector: A second look," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(2), pages 233-241, June.

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