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Shaping more resilient and just food systems: lessons from the COVID-19 Pandemic

Sanderson-Bellamy, Angelina, Furness, Ella, Nicol, Poppy, Pitt, Hannah and Taherzadeh, Alice 2021. Shaping more resilient and just food systems: lessons from the COVID-19 Pandemic. AMBIO: A Journal of the Human Environment 50 , pp. 782-793. 10.1007/s13280-021-01532-y

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Abstract

The COVID-19 pandemic has highlighted weaknesses in global food systems, as well as opening windows of opportunity for innovation and transformation. While the nature and extent of this crisis is rare, extreme climatic events will increase in magnitude and frequency, threatening similar societal impacts. It is therefore critical to identify mechanisms for developing food systems that are resilient to such impacts. We examine impacts of the crisis on UK food systems and how these further entrenched social inequalities. We present data on the experiences and actions of producers, consumers, and community organisers. The data were collected by adapting ongoing research to include surveys, interviews and online workshops focused on the pandemic. Actors’ responses to the pandemic foreshadow how enduring change to food systems can be achieved. We identify support required to enable these transformations and argue that it is vital that these opportunities are embedded in food justice principles which promote people-centred approaches to avoid exacerbating injustices prevalent pre-crisis. Learning from these experiences therefore provides insights for how to make food systems elsewhere more resilient and just.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Geography and Planning (GEOPL)
Biosciences
Sustainable Places Research Institute (PLACES)
Additional Information: This article is licensed under a Creative Commons Attribution 4.0 International License
Publisher: Springer Verlag
ISSN: 0044-7447
Date of First Compliant Deposit: 26 January 2021
Date of Acceptance: 28 January 2021
Last Modified: 25 May 2021 01:49
URI: http://orca.cf.ac.uk/id/eprint/137953

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