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Community-supported agriculture networks in Wales and Central Germany: Scaling up, out, and deep through local collaboration

Bonfert, Bernd 2022. Community-supported agriculture networks in Wales and Central Germany: Scaling up, out, and deep through local collaboration. Sustainability 14 (12) , 7419. 10.3390/su14127419

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Abstract

Multiple systemic crises have highlighted the vulnerabilities of our globalised food system, raising the demand for more resilient and ecologically sustainable alternatives, and fuelling engagement in practices such as community-supported agriculture (CSA). In CSA, local farmers and households share the costs and products of farming, allowing them to organise food provision non-commercially around short supply chains. While this may prefigure alternatives to the dominant food system, CSA is considered limited in regard to its scalability and accessibility. While these shortcomings apply to individual CSAs, we know little about whether multi-CSA networks can tackle them by expanding and institutionalising their practices at scale. This paper alleviates this blind spot by investigating local CSA networks in Wales and Germany through a lens of ‘food movement networks’, identifying their scaling practices and encountered challenges. It draws on semi-structured interviews with CSA actors and observations at network gatherings. The paper shows that local collaboration enables CSAs to integrate their supply chains (scaling out), engage their communities (scaling deep), and participate in food councils (scaling up), while further networking at regional level helps new initiatives start up. It also reveals competitive tensions between neighbouring CSAs, which constitutes a hitherto unknown challenge to CSA’s potential scalability.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Social Sciences (Includes Criminology and Education)
Wales Institute of Social & Economic Research, Data & Methods (WISERD)
Additional Information: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Publisher: MDPI
ISSN: 2071-1050
Date of First Compliant Deposit: 30 June 2022
Date of Acceptance: 12 June 2022
Last Modified: 01 Jul 2022 10:30
URI: https://orca.cardiff.ac.uk/id/eprint/150921

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