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COVID-19 Working Paper: Single Commodity Export Dependence and the Impacts of COVID-19 in Sub-Saharan Africa

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  • Gerval, Adam
  • Hansen, James

Abstract

As recent trade disputes have led the United States to broaden export markets, the macroeconomic and developmental characteristics of sub-Saharan Africa (SSA) ostensibly indicate the region will likely be a destination for U.S. agricultural exports in upcoming years. However, many of these characteristics are symptomatic of the economic development struggles prevalent in the region, which present significant challenges to sustained development. Trade in high-value commodities, for example, may offer economic growth, but the benefits are not necessarily diffused throughout the broader economy. Serving as the primary source for economic growth, foreign exchange, and export revenue, exports of high-value commodities can create terms-of-trade shocks during periods of significant fluctuations in international prices. This can limit a country’s ability to trade effectively and alter trade flows due to the resultant depreciating exchange rate. The current Coronavirus (COVID-19) crisis has created such a period of intense price volatility, offering a unique opportunity for modeling potential effects of a global shock on trade with these nations. This working paper illuminates the impact that this volatility can have on U.S. agricultural product export values to SSA. By simulating the effects of declining oil prices in 2020 and subsequent years through a shock to gross domestic product (GDP) in oil-dependent nations—i.e., Angola and Nigeria—we can evaluate the impacts of COVID-19 on agricultural trade for key U.S. export commodities to SSA.

Suggested Citation

  • Gerval, Adam & Hansen, James, 2022. "COVID-19 Working Paper: Single Commodity Export Dependence and the Impacts of COVID-19 in Sub-Saharan Africa," USDA Miscellaneous 323866, United States Department of Agriculture.
    • Handle: RePEc:ags:usdami:323866
    DOI: 10.22004/ag.econ.323866
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    References listed on IDEAS

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    1. Mustapha, Ishaq Muhammad & Masih, Mansur, 2016. "Dutch disease or Nigerian disease: a prima facie? New evidence from ARDL bound test analysis," MPRA Paper 69767, University Library of Munich, Germany.
    2. Muhammad, Andrew & Meade, Birgit Gisela Saager & Regmi, Anita & Seale, James L., 2011. "International Evidence on Food Consumption Patterns: An Update Using 2005 International Comparison Program Data," Technical Bulletins 120252, United States Department of Agriculture, Economic Research Service.
    3. Frederick van der Ploeg & Steven Poelhekke, 2009. "Volatility and the natural resource curse," Oxford Economic Papers, Oxford University Press, vol. 61(4), pages 727-760, October.
    4. Olayungbo, D.O., 2019. "Effects of oil export revenue on economic growth in Nigeria: A time varying analysis of resource curse," Resources Policy, Elsevier, vol. 64(C).
    5. Hjort, Kim & Boussios, David & Seeley, Ralph & Hansen, James, 2018. "The ERS Country-Commodity Linked System: Documenting Its International Country and Regional Agricultural Baseline Models," Technical Bulletins 282511, United States Department of Agriculture, Economic Research Service.
    6. Kassouri, Yacouba & Altıntaş, Halil, 2020. "Commodity terms of trade shocks and real effective exchange rate dynamics in Africa's commodity-exporting countries," Resources Policy, Elsevier, vol. 68(C).
    7. Trostle, Ronald & Seeley, Ralph, 2013. "Developing Countries Dominate World Demand for Agricultural Products," Amber Waves:The Economics of Food, Farming, Natural Resources, and Rural America, United States Department of Agriculture, Economic Research Service, issue 07, pages 1-1, September.
    8. Muhammad, Andrew & Meade, Birgit Gisela Saager, 2011. "International Evidence on Food Consumption Patterns: An Update Using 2005 International Comparison Program Data," Technical Bulletins 120252, United States Department of Agriculture, Economic Research Service.
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