Quantifying the resilience of European farms using FADN

Abstract

Agricultural policymakers call for the operationalisation of farm resilience as a dynamic concept. Therefore, we quantify farm resilience along the dimensions of robustness, adaptation and transformation. Using the rich Farm Accountancy Data Network panel data set, we explore which farm(er) characteristics affect resilience. We employ a control function approach to address the presence of endogeneity in correlated random effects (fractional) probit models. In general, we find that decoupled payments negatively affect robustness, while rural development payments have a positive effect on robustness. Both decoupled and rural development payments have no effect on adaptation and transformation in most European regions.

Keywords

resilience; robustness; adaptation; transformation; correlated random effects (CRE) fractional probit models

Published in

European Review of Agricultural Economics
2022, volume: 49, number: 1, pages: 121-150
Publisher: OXFORD UNIV PRESS

SLU Authors

• Slijper, Thomas

  • Wageningen University and Research

UKÄ Subject classification

Economics

Publication identifier

• DOI: https://doi.org/10.1093/erae/jbab042

Permanent link to this page (URI)

https://res.slu.se/id/publ/127796