Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Understanding the Impact of COVID-19 on Agriculture and Food Supply Chains: System Dynamics Modeling for the Resilience of Smallholder Farmers
Middle East Technical University, Turkey.
RISE Research Institutes of Sweden, Built Environment, Energy and Resources.ORCID iD: 0000-0002-6323-1397
Ag-AIM Solutions, Nigeria.
Foundation for Inclusion, US.
Show others and affiliations
2022 (English)In: International Journal on Food System Dynamics, E-ISSN 1869-6945, Vol. 12, no 3, p. 255-270Article in journal (Refereed) Published
Abstract [en]

COVID-19 has caused severe agriculture and food supply chain disruptions, significantly affecting smallholder farmers who supply most of the world’s food, specifically their changes in vulnerability, resilience, and food loss and waste. Therefore, the objective of this study was to understand the complex causal and feedback relationships for this system by developing a dynamic hypothesis and causal loop diagrams utilizing the System Dynamics methodology. Results provide a roadmap for dialogue and a framework for case-specific model development and help to guide policy decisions for smallholder farmers’ survival during health crises. 

Place, publisher, year, edition, pages
CentMa GmbH , 2022. Vol. 12, no 3, p. 255-270
Keywords [en]
Covid-19, Food loss, Food waste, Resilience, Smallholder farmers, Vulnerability
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:ri:diva-59240DOI: 10.18461/ijfsd.v12i3.89Scopus ID: 2-s2.0-85129618406OAI: oai:DiVA.org:ri-59240DiVA, id: diva2:1660427
Available from: 2022-05-24 Created: 2022-05-24 Last updated: 2024-04-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Nicolaidis, Andreas

Search in DiVA

By author/editor
Nicolaidis, Andreas
By organisation
Energy and Resources
In the same journal
International Journal on Food System Dynamics
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 157 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf