Investigating technical efficiency and potential technological change in Dutch pig farming

This paper uses data envelopment analysis (DEA) to investigate the possibilities for improving the technical, economic and environmental performance of Dutch pig farms relative to currently applied technologies and relative to currently available but not yet applied technologies. First, the efficiency is computed relating observed pig farms to the current best practice frontier. This frontier is computed from a sample of observed pig farms, using DEA based on linear programming. Second, potential technological change is computed as the change of the frontier due to addition of virtual farms (based on technologies that are available but not applied in practice yet) to the dataset. It is found that the mean technical efficiency of farms is rather high relative to the currently available technologies. Overall technical performance increases slightly when new technologies are introduced. Environmental performance increases importantly when applying new technologies. In particular, the ammonia emissions can be reduced largely by utilising the up-to-date housing techniques.

[1]  Léopold Simar,et al.  Stochastic frontiers incorporating exogenous influences on efficiency , 1994 .

[2]  A. Lansink,et al.  Inter-Firm and Intra-Firm Efficiency Measures , 2001 .

[3]  Douglas W. Caves,et al.  Productivity Growth, Scale Economies, and Capacity Utilization in U.S. Railroads, 1955-74 , 1981 .

[4]  Gianfranco Rizzo,et al.  A Bio-Economic Model for the Optimization of a Multi-Species, Multi-Gear Fishery: The Italian Case , 1992, Marine Resource Economics.

[5]  H. Vos,et al.  Application of Growth Models for Pigs in Practice , 1999 .

[6]  Thomas L. Cox,et al.  Prices and Quality Effects in Cross-Sectional Demand Analysis , 1986 .

[7]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[8]  Harold O. Fried,et al.  The measurement of productive efficiency : techniques and applications , 1993 .

[9]  R. Kaufmann,et al.  A Biophysical Model of Corn Yield: Integrating Climatic and Social Determinants , 1997 .

[10]  I. D. Boer,et al.  Input-output relations in the pig sector , 2000 .

[11]  C. Lovell,et al.  Analysis of Environmental Efficiency Variation , 2002 .

[12]  Stijn Reinhard,et al.  Econometric analysis of economic and environmental efficiency of Dutch dairy farms , 1999 .

[13]  C. A. Knox Lovell,et al.  Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA , 2000, Eur. J. Oper. Res..

[14]  Lars R. Bakken,et al.  Regulating nonpoint-source pollution from agriculture: An integrated modelling analysis , 1997 .

[15]  J. Higgins,et al.  Input demand and output supply on Irish farms— A micro-economic approach , 1986 .

[16]  C. Lovell,et al.  Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms , 1999 .

[17]  O. Guyader Simulating the Effect of Regulatory Systems in a Fishery, An Application to the French Driftnet Albacore Fleet , 2002 .

[18]  C.A.K. Lovell,et al.  Multilateral Productivity Comparisons When Some Outputs are Undesirable: A Nonparametric Approach , 1989 .

[19]  G.A.A. Wossink,et al.  Analysis of future agricultural change: A farm economics approach applied to Dutch arable farming , 1993 .

[20]  A.G.J.M. Oude Lansink,et al.  Non-separability and heterogeneity in integrated agronomic-economic analysis of nonpoint-source pollution , 2001 .

[21]  R. Rabbinge,et al.  Concepts in production ecology for analysis and quantification of agricultural input-output combinations , 1997 .

[22]  Daniel Tyteca,et al.  On the Measurement of the Environmental Performance of Firms— A Literature Review and a Productive Efficiency Perspective , 1996 .