Impact of Covid-19 on farming systems in Europe through the lens of resilience thinking.

Adaptation Anticipating Coping Enabling environment Responsiveness Transformation

Journal

Agricultural systems
ISSN: 0308-521X
Titre abrégé: Agric Syst
Pays: England
ID NLM: 100971319

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 17 12 2020
revised: 30 03 2021
accepted: 13 04 2021
entrez: 26 12 2022
pubmed: 1 6 2021
medline: 1 6 2021
Statut: ppublish

Résumé

Resilience is the ability to deal with shocks and stresses, including the unknown and previously unimaginable, such as the Covid-19 crisis. This paper assesses (i) how different farming systems were exposed to the crisis, (ii) which resilience capacities were revealed and (iii) how resilience was enabled or constrained by the farming systems' social and institutional environment. The 11 farming systems included have been analysed since 2017. This allows a comparison of pre-Covid-19 findings and the Covid-19 crisis. Pre-Covid findings are from the SURE-Farm systematic sustainability and resilience assessment. For Covid-19 a special data collection was carried out during the early stage of lockdowns. Our case studies found limited impact of Covid-19 on the production and delivery of food and other agricultural products. This was due to either little exposure or the agile activation of robustness capacities of the farming systems in combination with an enabling institutional environment. Revealed capacities were mainly based on already existing connectedness among farmers and more broadly in value chains. Across cases, the experience of the crisis triggered reflexivity about the operation of the farming systems. Recurring topics were the need for shorter chains, more fairness towards farmers, and less dependence on migrant workers. However, actors in the farming systems and the enabling environment generally focused on the immediate issues and gave little real consideration to long-term implications and challenges. Hence, adaptive or transformative capacities were much less on display than coping capacities. The comparison with pre-Covid findings mostly showed similarities. If challenges, such as shortage of labour, already loomed before, they persisted during the crisis. Furthermore, the eminent role of resilience attributes was confirmed. In cases with high connectedness and diversity we found that these system characteristics contributed significantly to dealing with the crisis. Also the focus on coping capacities was already visible before the crisis. We are not sure yet whether the focus on short-term robustness just reflects the higher visibility and urgency of shocks compared to slow processes that undermine or threaten important system functions, or whether they betray an imbalance in resilience capacities at the expense of adaptability and transformability. Our analysis indicates that if transformations are required, e.g. to respond to concerns about transnational value chains and future pandemics from zoonosis, the transformative capacity of many farming systems needs to be actively enhanced through an enabling environment.

Identifiants

pubmed: 36570633
doi: 10.1016/j.agsy.2021.103152
pii: S0308-521X(21)00105-0
pmc: PMC9759495
doi:

Types de publication

Journal Article

Langues

eng

Pagination

103152

Informations de copyright

© 2021 The Authors.

Déclaration de conflit d'intérêts

There is no conflict of interest.

Références

Science. 2020 Jul 31;369(6503):500-502
pubmed: 32732407
Food Secur. 2020;12(4):805-822
pubmed: 32837646
Am J Agric Econ. 2021 Jan;103(1):35-52
pubmed: 33230345

Auteurs

M P M Meuwissen (MPM)

Business Economics, Wageningen University, P.O. Box 8130, 6700, EW, Wageningen, the Netherlands.

P H Feindt (PH)

Strategic Communication, Wageningen University, the Netherlands.
Agricultural and Food Policy Group, Thaer Institute for Agricultural and Horticultural Sciences, Humboldt-Universität zu Berlin, Germany.

T Slijper (T)

Business Economics, Wageningen University, P.O. Box 8130, 6700, EW, Wageningen, the Netherlands.

A Spiegel (A)

Business Economics, Wageningen University, P.O. Box 8130, 6700, EW, Wageningen, the Netherlands.

R Finger (R)

Agricultural Economics and Policy Group, ETH, Zurich, Switzerland.

Y de Mey (Y)

Business Economics, Wageningen University, P.O. Box 8130, 6700, EW, Wageningen, the Netherlands.

W Paas (W)

Plant Production Systems, Wageningen University, the Netherlands.

K J A M Termeer (KJAM)

Public Administration and Policy, Wageningen University, the Netherlands.

P M Poortvliet (PM)

Strategic Communication, Wageningen University, the Netherlands.

M Peneva (M)

Department of Natural Resources Economics, University of National and World Economy, Bulgaria.

J Urquhart (J)

Countryside and Community Research Institute, University of Gloucestershire, UK.

M Vigani (M)

Countryside and Community Research Institute, University of Gloucestershire, UK.

J E Black (JE)

Countryside and Community Research Institute, University of Gloucestershire, UK.

P Nicholas-Davies (P)

Aberystwyth Business School, Aberystwyth University, UK.

D Maye (D)

Countryside and Community Research Institute, University of Gloucestershire, UK.

F Appel (F)

Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Germany.

F Heinrich (F)

Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Germany.

A Balmann (A)

Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Germany.

J Bijttebier (J)

Agricultural and Farm Development, Institute for Agricultural and Fisheries Research (ILVO), Belgium.

I Coopmans (I)

Division of Bioeconomics, KU, Leuven, Belgium.

E Wauters (E)

Agricultural and Farm Development, Institute for Agricultural and Fisheries Research (ILVO), Belgium.

E Mathijs (E)

Division of Bioeconomics, KU, Leuven, Belgium.

H Hansson (H)

Department of Economics, Sveriges Lantbruksuniversitet, Sweden.

C J Lagerkvist (CJ)

Department of Economics, Sveriges Lantbruksuniversitet, Sweden.

J Rommel (J)

Department of Economics, Sveriges Lantbruksuniversitet, Sweden.

G Manevska-Tasevska (G)

Department of Economics, Sveriges Lantbruksuniversitet, Sweden.

F Accatino (F)

INRAE, AgroParisTech, Université Paris Saclay, France.

C Pineau (C)

Institut de l'Elevage, Aubière, France.

B Soriano (B)

Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM), Universidad Politecnica de Madrid, Spain.

I Bardaji (I)

Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM), Universidad Politecnica de Madrid, Spain.

S Severini (S)

Department of Agricultural and Forestry Sciences, Università degli Studi della Tuscia, Italy.

S Senni (S)

Department of Agricultural and Forestry Sciences, Università degli Studi della Tuscia, Italy.

C Zinnanti (C)

Department of Agricultural and Forestry Sciences, Università degli Studi della Tuscia, Italy.

C Gavrilescu (C)

Institute of Agricultural Economics, Romania.

I S Bruma (IS)

Institute of Agricultural Economics, Romania.
"Gh. Zane" Institute of Economic and Social Research, Romanian Academy, Iasi Branch, Romania.

K M Dobay (KM)

Institute of Agricultural Economics, Romania.
"Gh. Zane" Institute of Economic and Social Research, Romanian Academy, Iasi Branch, Romania.

D Matei (D)

Institute of Agricultural Economics, Romania.
"Gh. Zane" Institute of Economic and Social Research, Romanian Academy, Iasi Branch, Romania.

L Tanasa (L)

Institute of Agricultural Economics, Romania.
"Gh. Zane" Institute of Economic and Social Research, Romanian Academy, Iasi Branch, Romania.

D M Voicilas (DM)

Institute of Agricultural Economics, Romania.

K Zawalińska (K)

Institute of Rural and Agricultural Development, Polish Academy of Sciences, Poland.

P Gradziuk (P)

Institute of Rural and Agricultural Development, Polish Academy of Sciences, Poland.

V Krupin (V)

Institute of Rural and Agricultural Development, Polish Academy of Sciences, Poland.

A Martikainen (A)

Institute of Rural and Agricultural Development, Polish Academy of Sciences, Poland.

H Herrera (H)

System Dynamics Group, University of Bergen, Norway.

P Reidsma (P)

Plant Production Systems, Wageningen University, the Netherlands.

Classifications MeSH