Quantifying the resilience of European farms using FADN

H.T. Slijper*, Y. de Mey, P.M. Poortvliet, M.P.M. Meuwissen

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)121-150
Number of pages30
JournalEuropean Review of Agricultural Economics
Issue number1
Early online date13 Oct 2021
Publication statusPublished - 2022


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


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