Quantifying the resilience of European farms using FADN

H.T. Slijper; Y. de Mey; P.M. Poortvliet; M.P.M. Meuwissen

doi:10.1093/erae/jbab042

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 journal › Article › Academic › peer-review

12 Citations (Scopus)

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.

Original language	English
Pages (from-to)	121-150
Number of pages	30
Journal	European Review of Agricultural Economics
Volume	49
Issue number	1
Early online date	13 Oct 2021
DOIs	https://doi.org/10.1093/erae/jbab042
Publication status	Published - 2022

Keywords

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

Access to Document

10.1093/erae/jbab042Licence: CC BY

https://edepot.wur.nl/555365Licence: CC BY

SURE-Farm: Towards SUstainable and REsilient EU FARMing systems
1/06/17 → 31/05/21
Project: EU research project

Cite this

@article{9741a723d0a643ef8a56120e4edad92a,

title = "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 = "adaptation, correlated random effects (CRE) fractional probit models, resilience, robustness, transformation",

author = "H.T. Slijper and {de Mey}, Y. and P.M. Poortvliet and M.P.M. Meuwissen",

year = "2022",

doi = "10.1093/erae/jbab042",

language = "English",

volume = "49",

pages = "121--150",

journal = "European Review of Agricultural Economics",

issn = "0165-1587",

publisher = "Oxford University Press",

number = "1",

}

TY - JOUR

T1 - Quantifying the resilience of European farms using FADN

AU - Slijper, H.T.

AU - de Mey, Y.

AU - Poortvliet, P.M.

AU - Meuwissen, M.P.M.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - adaptation

KW - correlated random effects (CRE) fractional probit models

KW - resilience

KW - robustness

KW - transformation

U2 - 10.1093/erae/jbab042

DO - 10.1093/erae/jbab042

M3 - Article

SN - 0165-1587

VL - 49

SP - 121

EP - 150

JO - European Review of Agricultural Economics

JF - European Review of Agricultural Economics

IS - 1

ER -

Quantifying the resilience of European farms using FADN

Abstract

Keywords

Access to Document

Fingerprint

Projects

SURE-Farm: Towards SUstainable and REsilient EU FARMing systems

Cite this