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Impacts of COVID‐19 on global poverty, food security, and diets: Insights from global model scenario analysis

Agricultural Economics, 2021-05 [Peer Reviewed Journal]

2021. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;DOI: 10.1111/agec.12624

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  • Title:
    Impacts of COVID‐19 on global poverty, food security, and diets: Insights from global model scenario analysis
  • Author: Laborde, David ; Martin, Will ; Vos, Rob
  • Is Part Of: Agricultural Economics, 2021-05
  • Description: This study assesses the impact of coronavirus disease 2019 (COVID‐19) on poverty, food insecurity, and diets, accounting for the complex links between the crisis and the incomes and living costs of vulnerable households. Key elements are impacts on labor supply, effects of social distancing, shifts in demand from services involving close contact, increases in the cost of logistics in food and other supply chains, and reductions in savings and investment. These are examined using IFPRI's global general equilibrium model linked to epidemiological and household models. The simulations suggest that the global recession caused by COVID‐19 will be much deeper than that of the 2008–2009 financial crisis. The increases in poverty are concentrated in South Asia and sub‐Saharan Africa with impacts harder in urban areas than in rural. The COVID‐19‐related lockdown measures explain most of the fall in output, whereas declines in savings soften the adverse impacts on food consumption. Almost 150 million people are projected to fall into extreme poverty and food insecurity. Decomposition of the results shows that approaches assuming uniform income shocks would underestimate the impact by as much as one‐third, emphasizing the need for the more refined approach of this study.
  • Publisher: Hoboken: John Wiley & Sons, Inc
  • Language: English
  • Identifier: DOI: 10.1111/agec.12624
  • Source: Coronavirus Research Database
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