Evaluation of the sustainability of contrasted pig farming systems: economy
E. Ilari-Antoine,
M. Bonneau,
T.N. Klauke,
J. Gonzàlez,
J.Y. Dourmad,
K. De Greef,
H.W.J. Houwers,
E. Fabrega,
C. Zimmer,
M. Hviid,
B. Van der Oever,
S.A. Edwards
Affiliations
E. Ilari-Antoine
The French Pork and Pig Institute (IFIP), Economy Unit, 34 Boulevard de la Gare, F-31500 Toulouse, France
M. Bonneau
INRA, UMR1348 PEGASE, F-35590 Saint Gilles, France; Agrocampus Ouest, UMR1348 PEGASE, Laboratoire SPA, 65 rue de Saint Brieuc, CS 84215, F-35042 Rennes Cedex, France
T.N. Klauke
Institute of Animal Science (ITW), Universität Bonn, DE-53115 Bonn, Germany
J. Gonzàlez
IRTA-Monells, Veïnat de Sies, s/n 17121,Monells, Spain
J.Y. Dourmad
INRA, UMR1348 PEGASE, F-35590 Saint Gilles, France; Agrocampus Ouest, UMR1348 PEGASE, Laboratoire SPA, 65 rue de Saint Brieuc, CS 84215, F-35042 Rennes Cedex, France
K. De Greef
Wageningen UR, Livestock Research, NL-8200 AB Lelystad, The Netherlands
H.W.J. Houwers
Wageningen UR, Livestock Research, NL-8200 AB Lelystad, The Netherlands
E. Fabrega
IRTA-Monells, Veïnat de Sies, s/n 17121,Monells, Spain
The aim of this paper is to present an efficient tool for evaluating the economy part of the sustainability of pig farming systems. The selected tool IDEA was tested on a sample of farms from 15 contrasted systems in Europe. A statistical analysis was carried out to check the capacity of the indicators to illustrate the variability of the population and to analyze which of these indicators contributed the most towards it. The scores obtained for the farms were consistent with the reality of pig production; the variable distribution showed an important variability of the sample. The principal component analysis and cluster analysis separated the sample into five subgroups, in which the six main indicators significantly differed, which underlines the robustness of the tool. The IDEA method was proven to be easily comprehensible, requiring few initial variables and with an efficient benchmarking system; all six indicators contributed to fully describe a varied and contrasted population.
