Comparative Analysis of Technical Efficiency in European Agriculture

Technical efficiency has long been analysed as a measure of farm performance, however most studies are restricted to a single country case. This paper presents a comparative analysis of field crop and dairy farm performance across eight EU countries, including two New Member States (NMS), focusing on long run stability and mobility patterns. The main research question is how relative performance of farms fluctuates over time, i.e. whether poorly performing farms remain always inefficient whilst some farms are always very efficient. Results show that on average 60% of farms maintain their efficiency ranking in two consecutive years, whilst 20% improve and 20% worsen their positions, for all countries. Due to the unstable economic conditions, farms in NMS are more mobile than those in EU15.

[1]  D. Aigner,et al.  FORMULATION AND ESTIMATION OF STOCHASTIC PRODUCTION FUNCTION MODELS , 1977 .

[2]  Stefan Sperlich,et al.  Efficiency, subsidies and environmental adaptation of animal farming under CAP , 2005 .

[3]  A. Astover,et al.  Efficiency of Estonian grain farms in 2000-2004 , 2008 .

[4]  Timothy Coelli,et al.  An Introduction to Efficiency and Productivity Analysis , 1997 .

[5]  Andrew Barnes,et al.  A report on technical efficiency at the farm level 1989 to 2008: final report submitted to Defra. , 2010 .

[6]  W. Meeusen,et al.  Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error , 1977 .

[7]  A. Shorrocks,et al.  The Measurement of Mobility , 1978 .

[8]  Karin Larsen.  Effects of machinery-sharing arrangements on farm efficiency: evidence from Sweden , 2010 .

[9]  Anton Abdulbasah Kamil,et al.  Modeling technical inefficiencies effects in a stochastic frontier production function for panel data , 2009 .

[10]  John Geweke,et al.  Mobility Indices in Continuous Time Markov Chains , 1986 .

[11]  Farm performance and support in Central and Western Europe: A comparison of Hungary and France , 2009 .

[12]  József Fogarasi,et al.  The impact of EU accession on farms' technical efficiency in Hungary , 2010 .

[13]  C. Lovell,et al.  Stochastic Frontier Analysis: Frontmatter , 2000 .

[14]  H. Hansson.  The links between management's critical success factors and farm level economic performance on dairy farms in Sweden , 2007 .

[15]  T. Coelli,et al.  CAP Reforms and Total Factor Productivity Growth in Belgian Agriculture: A Malmquist Index Approach , 2006 .

[16]  D. Aigner,et al.  P. Schmidt, 1977,?Formulation and estimation of stochastic frontier production function models,? , 1977 .

[17]  G. Battese,et al.  Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India , 1992 .

[18]  G. Battese,et al.  A model for technical inefficiency effects in a stochastic frontier production function for panel data , 1995 .

[19]  Franz C. Palm,et al.  Wald Criteria for Jointly Testing Equality and Inequality , 1986 .

[20]  Alfons Oude Lansink,et al.  Impact of CAP Subsidies on Technical Efficiency of Crop Farms in Germany, the Netherlands and Sweden , 2010 .

[21]  D. Solís,et al.  Technical efficiency in farming: a meta-regression analysis , 2007 .

[22]  Thomas Glauben,et al.  Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries , 2002 .

[23]  S. Caudill,et al.  Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity , 1995 .

[24]  G. Battese,et al.  ESTIMATION OF A PRODUCTION FRONTIER MODEL: WITH APPLICATION TO THE PASTORAL ZONE OF EASTERN AUSTRALIA , 1977 .

[25]  L. Latruffe,et al.  The role of public subsidies on farms’ managerial efficiency: An application of a five-stage approach to France , 2009 .