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Tag: AGMEMOD model

The COVID-19 pandemic and the EU agri-food sector: Member State impacts and recovery pathways

This paper investigates the effects of three different simulated post-COVID-19 recovery GDP growth rates during 2021-2023 (baseline, optimistic and pessimistic scenarios) for agricultural markets in four selected EU Member States (the Netherlands, Germany, Italy, and Hungary) compared to a pre-COVID-19 projection. Empirical results are derived from the AGMEMOD model. A self-sufficiency ratio is utilised to summarise the net effects on consumption and supply in the agricultural markets. The country level analysis confirms that the agriculture sector in the EU has been quite resilient during the pandemic. The simulated impacts of the different GDP shocks on the agri-food sector are limited, which also conforms to reality, but changes in consumer behaviour could lead to longer lasting impacts on specific sectors.

Journal Metrics

Scimago Journal & Country Rank

 

 

 

 

  • Scopus SJR (2023): 0.29
  • Scopus CiteScore (2022): 2.0
  • WoS Journal Impact Factor (2023): 0.9
  • WoS Journal Citation Indicator (2023): 0.33
  • ISSN (electronic): 2063-0476
  • ISSN-L 1418-2106

 

Impressum

Publisher Name: Institute of Agricultural Economics Nonprofit Kft. (AKI)

Publisher Headquarters: Zsil utca 3-5, 1093-Budapest, Hungary

Name of Responsible Person for Publishing:        Dr. Pal Goda

Name of Responsible Person for Editing:             Dr. Attila Jambor

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

The publication cost of the journal is supported by the Hungarian Academy of Sciences.

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