Heterogeneity of Long‐run Technical Efficiency of German Dairy Farms: A Bayesian Approach
In parametric efficiency studies, two alternative approaches exist to provide an estimate of the long‐run efficiency of firms: the dynamic stochastic frontier model and the generalised true random‐effects model. We extend the former in order to allow for heterogeneity in the long‐run technical effic...
Saved in:
Published in | Journal of agricultural economics Vol. 69; no. 1; pp. 58 - 75 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Wiley Subscription Services, Inc
01.02.2018
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | In parametric efficiency studies, two alternative approaches exist to provide an estimate of the long‐run efficiency of firms: the dynamic stochastic frontier model and the generalised true random‐effects model. We extend the former in order to allow for heterogeneity in the long‐run technical efficiency of firms. This model is based on potential differences in firm‐specific characteristics and in firms’ inefficiency persistence. The model is applied to an unbalanced micro‐panel of German dairy farms over the period 1999 to 2009. Estimation of long‐run technical efficiency and inefficiency persistence is based on an output distance function representation of the production technology and estimated in a Bayesian framework. The results suggest that heterogeneity in long‐run technical efficiency of farms is mostly attributed to discrepancies in farm‐specific factors rather than differences in farms’ inefficiency persistence. Farm size is positively related to long‐run technical efficiency while subsidies exert a negative effect on the long‐run technical efficiency of farms. Inefficiency persistence is found to be very high, but heterogeneity in this persistence is low. |
---|---|
Bibliography: | iskevas@gwdg.de for correspondence. Bernhard Brümmer is in the Department of Agricultural Economics and Rural Development, and the Centre of Biodiversity and Sustainable Land Use (CBL), University of Goettingen, Germany. Grigorios Emvalomatis is in the Department of Economic Studies, University of Dundee, United Kingdom. The paper has greatly benefited from the comments of Andrew (Andy) Johnson who acted as a designated discussant for a preliminary version of the paper during the 14th European Workshop on Efficiency and Productivity Analysis in Helsinki, Finland. The paper has also profited from informal talks with several participants of the workshop, and from comments by anonymous referees. Any errors or omissions are the sole responsibility of the authors. Ioannis Skevas is in the Department of Agricultural Economics and Rural Development, University of Goettingen, Germany. E‐mail |
ISSN: | 0021-857X 1477-9552 |
DOI: | 10.1111/1477-9552.12231 |