In the context of a global food system, the dynamics associated to international food trade have become key determinants of food security. In this paper, we resort to a diffusion model to simulate how shocks to domestic food production propagate through the international food trade network and study the relationship between trade openness and vulnerability. The results of our simulations suggest that low‑income and food insecure countries tend to be the more exposed to external shocks and, at the same time, they are usually not in a position to take full advantage of international food trade when it comes to shield themselves from shocks to domestic production. We also study and discuss how nodes characteristics are associated with the propagation dynamics and with countries’ vulnerability, finding that simple centrality measures can significantly predict the magnitude of the shock experienced by individual countries.

Insights into countries’ exposure and vulnerability to food trade shocks from network-based simulations / Grassia, Marco; Mangioni, Giuseppe; Schiavo, Stefano; Traverso, Silvio. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - ELETTRONICO. - 12:1(2022), p. 4644. [10.1038/s41598-022-08419-2]

Insights into countries’ exposure and vulnerability to food trade shocks from network-based simulations

Schiavo, Stefano
Penultimo
;
2022-01-01

Abstract

In the context of a global food system, the dynamics associated to international food trade have become key determinants of food security. In this paper, we resort to a diffusion model to simulate how shocks to domestic food production propagate through the international food trade network and study the relationship between trade openness and vulnerability. The results of our simulations suggest that low‑income and food insecure countries tend to be the more exposed to external shocks and, at the same time, they are usually not in a position to take full advantage of international food trade when it comes to shield themselves from shocks to domestic production. We also study and discuss how nodes characteristics are associated with the propagation dynamics and with countries’ vulnerability, finding that simple centrality measures can significantly predict the magnitude of the shock experienced by individual countries.
2022
1
Grassia, Marco; Mangioni, Giuseppe; Schiavo, Stefano; Traverso, Silvio
Insights into countries’ exposure and vulnerability to food trade shocks from network-based simulations / Grassia, Marco; Mangioni, Giuseppe; Schiavo, Stefano; Traverso, Silvio. - In: SCIENTIFIC REPORTS. - ISSN 2045-2322. - ELETTRONICO. - 12:1(2022), p. 4644. [10.1038/s41598-022-08419-2]
File in questo prodotto:
File Dimensione Formato  
Grassia_et_al-2022-Scientific_Reports.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 3.06 MB
Formato Adobe PDF
3.06 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/335612
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 11
  • ???jsp.display-item.citation.isi??? 11
social impact