Grigorios Emvalomatis is an Assistant Professor in the Business Economics Group, Wageningen University, Hollandseweg 1, 6706KN, the Netherlands. E-mail: firstname.lastname@example.org for correspondence. This paper has benefited greatly from the comments and suggestions of two anonymous reviewers and the Editor in Chief, as well as from discussions with Alfons Oude Lansink.
Productivity Growth in German Dairy Farming using a Flexible Modelling Approach
Version of Record online: 12 SEP 2011
© 2011 The Agricultural Economics Society
Journal of Agricultural Economics
Volume 63, Issue 1, pages 83–101, February 2012
How to Cite
Emvalomatis, G. (2012), Productivity Growth in German Dairy Farming using a Flexible Modelling Approach. Journal of Agricultural Economics, 63: 83–101. doi: 10.1111/j.1477-9552.2011.00312.x
- Issue online: 9 JAN 2012
- Version of Record online: 12 SEP 2011
- (Original submitted October 2010, revision received April 2011, accepted June 2011.)
- Dairy farming;
- productivity growth;
- random-coefficients model;
- stochastic frontier
A random-coefficients specification of an output distance function is used to measure and decompose productivity growth in German dairy farming. This specification can accommodate heterogeneity with respect to the technology employed by dairy farms, allowing for specialised and non-specialised farms to be included in the analysis. The proposed modelling approach is favoured by the data when compared with the conventional translog specification of distance functions. The average total factor productivity growth rate for German dairy farms is estimated at 1.1%, with the technical progress component contributing most of this growth.