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Quantifying the impact of Russia–Ukraine crisis on food security and trade pattern: evidence from a structural general equilibrium trade model

Author

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  • Feng, Fan
  • Jia, Ningyuan
  • Lin, Faqin

Abstract

Purpose: Considering the importance of Russia and Ukraine in agriculture, the authors quantify the potential impact of the Russia–Ukraine conflict on food output, trade, prices and food security for the world. Design/methodology/approach: The authors mainly use the quantitative and structural multi-country and multi-sector general equilibrium trade model to analyze the potential impacts of the conflict on the global food trade pattern and security. Findings: First, the authors found that the conflict would lead to soaring agricultural prices, decreasing trade volume and severe food insecurity especially for countries that rely heavily on grain imports from Ukraine and Russia, such as Egypt and Turkey. Second, major production countries such as the United States and Canada may even benefit from the conflict. Third, restrictions on upstream energy and fertilizer will amplify the negative effects of food insecurity. Originality/value: This study analyzed the effect of Russia–Ukraine conflict on global food security based on sector linkages and the quantitative general equilibrium trade framework. With a clearer demonstration of the influence about the inherent mechanism based on fewer parameters compared with traditional Global Trade Analysis Project (GTAP) models, the authors showed integrated impacts of the conflict on food output, trade, prices and welfare across sectors and countries.

Suggested Citation

  • Feng, Fan & Jia, Ningyuan & Lin, Faqin, 2023. "Quantifying the impact of Russia–Ukraine crisis on food security and trade pattern: evidence from a structural general equilibrium trade model," LSE Research Online Documents on Economics 117881, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:117881
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    File URL: http://eprints.lse.ac.uk/117881/
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    Cited by:

    1. Rosalia Facendola & Giovanni Ottomano Palmisano & Annalisa De Boni & Claudio Acciani & Rocco Roma, 2023. "Profiling Citizens on Perception of Key Factors of Food Security: An Application of K-Means Cluster Analysis," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    2. Wei-Xing Zhou & Yun-Shi Dai & Kiet Tuan Duong & Peng-Fei Dai, 2023. "The impact of the Russia-Ukraine conflict on the extreme risk spillovers between agricultural futures and spots," Papers 2310.16850, arXiv.org.
    3. Carla Zarb? & Gioacchino Pappalardo & Roberta Selvaggi & Biagio Pecorino, 2023. "The EU agri-food system in the recent crisis scenarios," Economia agro-alimentare, FrancoAngeli Editore, vol. 2023(3), pages 87-107.

    More about this item

    Keywords

    agriculture commodity price; agriculture trade; food security; Russia–Ukraine conflict; welfare; 72261147471; 72073128 and 72061147002;
    All these keywords.

    JEL classification:

    • F17 - International Economics - - Trade - - - Trade Forecasting and Simulation
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade

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