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A Metafrontier Analysis of Technical Efficiency of Selected European Agricultures

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  • Barnes, Andrew Peter
  • Revoredo-Giha, Cesar

Abstract

Technical efficiency refers to the situation where it is impossible for a firm to produce, with the given know-how, (1) a larger output from the same inputs or (2) the same output with less of one or more inputs without increasing the amount of other inputs. In practice, the interest is on the relative position in terms of efficiency of a particular firm with respect to others. Therefore, technical efficiency is characterised by the relationship between observed production and some ideal or potential production (Greene, 1993). Although the beginning of the efficiency work can be traced to the 1950s (Farrell, 1957), there have been a growing interest on its use in benchmarking performance, predominantly as a means of identifying best practice and improving the efficiency of resource use within the agricultural industry (e.g., Defra 2004, SAC 2009). This paper deals with the estimation of technical efficiency for the agricultural sectors in several European countries and moreover, it aims to compare the efficiency amongst them using a metafrontier analysis. The use of this type of analysis is justified because a frontier, which represents the best available technology within a particular region/country cannot be strictly compared across other regions/countries, unless they operate under the same production set. The metafrontier analysis has been developed in a number of studies (Battese and Rao, 2002; Nkamleu et al., 2006; Chen and Song, 2006; O‟Donnell et al., 2008.) The metafrontier analysis in this paper, which uses data from the Farm Accountancy data Network (FADN), was focused on four farm types: two specialised farming types (i.e., specialist cereals, oilseed and protein crops and specialist dairying) and two more mixed farming sets (i.e., general field cropping and mixed farms), and was applied to a total of 11 countries namely Belgium, Denmark, France, Germany, Hungary, Ireland, Italy, Netherlands, Poland, Spain and the UK. For most of the countries the infor
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  • Barnes, Andrew Peter & Revoredo-Giha, Cesar, 2011. "A Metafrontier Analysis of Technical Efficiency of Selected European Agricultures," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114807, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae11:114807
    DOI: 10.22004/ag.econ.114807
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    References listed on IDEAS

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    1. C. J. O'Donnell & W. E. Griffiths, 2006. "Estimating State-Contingent Production Frontiers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 249-266.
    2. Nkamleu, Guy Blaise & Nyemeck, Joachim & Sanogo, Diakalia, 2006. "Metafrontier Analysis of Technology Gap and Productivity Difference in African Agriculture," MPRA Paper 15103, University Library of Munich, Germany.
    3. George E. Battese & D. S. Prasada Rao, 2002. "Technology Gap, Efficiency, and a Stochastic Metafrontier Function," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 1(2), pages 87-93, August.
    4. William H. Greene, 1993. "Frontier Production Functions," Working Papers 93-20, New York University, Leonard N. Stern School of Business, Department of Economics.
    5. Víctor Moreira & Boris Bravo-Ureta, 2010. "Technical efficiency and metatechnology ratios for dairy farms in three southern cone countries: a stochastic meta-frontier model," Journal of Productivity Analysis, Springer, vol. 33(1), pages 33-45, February.
    6. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    7. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    8. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March.
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    Cited by:

    1. Cechura, L. & Hockmann, H. & Malý, M. & Žáková Kroupová, Z., 2015. "Comparison of Technology and Technical Efficiency in Cereal Production among EU Countries," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(2), pages 1-11, June.
    2. Saeid Hajihassaniasl & Recep Kök, 2016. "Scale effect in Turkish manufacturing industry: stochastic metafrontier analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-17, December.
    3. Hančlová Jana & Melecký Lukáš, 2016. "Application of the Nonparametric DEA Meta-frontier Approach with Undesirable Outputs in the Case of EU Regions," Business Systems Research, Sciendo, vol. 7(2), pages 65-77, September.
    4. Kourtesi, Sofia & De Witte, Kristof & Polymeros, Apostolos, 2016. "Technical Efficiency in the Agricultural Sector - Evidence from a Conditional Quantile-Based Approach," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 17(2), June.
    5. Paweł Boczar & Lucyna Błażejczyk-Majka, 2022. "Efficiency of European Union wheat producers on world market and analysis of its determinants based on the data envelopment analysis method," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(12), pages 455-463.
    6. Cechura, Lukas & Hockmann, Heinrich & Malý, Michal & Žáková Kroupová, Zdenka, 2015. "Comparison of technology and technical efficiency in cereal production among EU countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(2), pages 27-37.

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    Farm Management;

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