TY - JOUR
T1 - Influence of climate stress on technical efficiency and economic downside risk exposure of EU dairy farms
AU - Quiédeville, Sylvain
AU - Grovermann, Christian
AU - Leiber, Florian
AU - Cozzi, Giulio
AU - Lora, Isabella
AU - Eory, Vera
AU - Moakes, Simon
N1 - This research received funding from the GenTORE project; a Horizon 2020 project running from 1 June 2017 to 31 May 2022, as part of the European Union’s H2020 Research and Innovation Program under agreement No. 727213.
Publisher Copyright:
© 2022 Cambridge University Press. All rights reserved.
PY - 2022/10/20
Y1 - 2022/10/20
N2 - This paper assesses the influence of heat and drought stress on the economic performance of the European dairy sector. Climatic data from the Gridded Agro-Meteorological data in Europe were combined with dairy enterprise data from the Farm Accountancy Data Network, resulting in a data set of 4412 farms in 22 European Union (EU) countries over the period 2007-2013. Since the performance of dairy farms is influenced by the context in which they operate, farms were grouped into areas representing similar climatic conditions through the use of a latent class analysis. Technical efficiency (TE) and economic downside risk were used as performance indicators against which the effect of climatic stress factors was evaluated. TE was estimated using a 'true-fixed' effect stochastic frontier model. Economic downside risk was based on gross margin deviations. Regression analysis suggests a significant negative effect of drought and heat stress on both TE and the downside gross margin difference in most climatic classes, with few exceptions. Results imply that both drought and heat stress-related issues need to be considered when designing adaptation strategies to address threats to the economic performance of the EU dairy sector.
AB - This paper assesses the influence of heat and drought stress on the economic performance of the European dairy sector. Climatic data from the Gridded Agro-Meteorological data in Europe were combined with dairy enterprise data from the Farm Accountancy Data Network, resulting in a data set of 4412 farms in 22 European Union (EU) countries over the period 2007-2013. Since the performance of dairy farms is influenced by the context in which they operate, farms were grouped into areas representing similar climatic conditions through the use of a latent class analysis. Technical efficiency (TE) and economic downside risk were used as performance indicators against which the effect of climatic stress factors was evaluated. TE was estimated using a 'true-fixed' effect stochastic frontier model. Economic downside risk was based on gross margin deviations. Regression analysis suggests a significant negative effect of drought and heat stress on both TE and the downside gross margin difference in most climatic classes, with few exceptions. Results imply that both drought and heat stress-related issues need to be considered when designing adaptation strategies to address threats to the economic performance of the EU dairy sector.
KW - Dairy farms
KW - climate stress
KW - economic resilience
KW - stochastic frontier analysis
KW - technical efficiency
UR - http://www.scopus.com/inward/record.url?scp=85135484652&partnerID=8YFLogxK
U2 - 10.1017/S0021859622000375
DO - 10.1017/S0021859622000375
M3 - Article
SN - 0021-8596
VL - 160
SP - 289
EP - 301
JO - Journal of Agricultural Science
JF - Journal of Agricultural Science
IS - 5
ER -