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Decomposing dynamic profit inefficiency of Belgian dairy farms

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  • Frederic Ang
  • Alfons Oude Lansink

Abstract

This paper introduces a nonparametric framework for analysing dynamic profit inefficiency and applies this to a sample of Belgian, specialised dairy farms from 1996 to 2008. Profit inefficiency is decomposed into technical and allocative inefficiency. The paper also decomposes profit inefficiency into the contributions of output, input, and investment. Finally, the paper identifies the contributions of technical and allocative inefficiency in output, input and investment. The results suggest substantial profit inefficiency under the dairy-quota system, mainly driven by allocative inefficiency of variable input use and output production.

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  • Frederic Ang & Alfons Oude Lansink, 2018. "Decomposing dynamic profit inefficiency of Belgian dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 81-99.
    • Handle: RePEc:oup:erevae:v:45:y:2018:i:1:p:81-99.
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    File URL: http://hdl.handle.net/10.1093/erae/jbx024
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    1. Pierre Ouellette & Li Yan, 2008. "Investment and dynamic DEA," Journal of Productivity Analysis, Springer, vol. 29(3), pages 235-247, June.
    2. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    3. Leopold Simar & Valentin Zelenyuk, 2006. "On Testing Equality of Distributions of Technical Efficiency Scores," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 497-522.
    4. Rungsuriyawiboon, Supawat & Stefanou, Spiro E., 2007. "Dynamic Efficiency Estimation: An Application to U.S. Electric Utilities," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 226-238, April.
    5. Chen, Chien-Ming & van Dalen, Jan, 2010. "Measuring dynamic efficiency: Theories and an integrated methodology," European Journal of Operational Research, Elsevier, vol. 203(3), pages 749-760, June.
    6. Elvira Silva & Spiro E. Stefanou, 2007. "Dynamic Efficiency Measurement: Theory and Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 398-419.
    7. Caputo,Michael R., 2005. "Foundations of Dynamic Economic Analysis," Cambridge Books, Cambridge University Press, number 9780521842723, January.
    8. Johannes Sauer, 2010. "Deregulation and dairy production systems: a Bayesian distance function approach," Journal of Productivity Analysis, Springer, vol. 34(3), pages 213-237, December.
    9. S Reinhard & G Thijssen, 2000. "Nitrogen efficiency of Dutch dairy farms: a shadow cost system approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(2), pages 167-186, June.
    10. R. Färe & S. Grosskopf & G. Whittaker, 2013. "Directional output distance functions: endogenous directions based on exogenous normalization constraints," Journal of Productivity Analysis, Springer, vol. 40(3), pages 267-269, December.
    11. Picazo-Tadeo, Andres J. & Reig-Martinez, Ernest & Hernandez-Sancho, Francesc, 2005. "Directional distance functions and environmental regulation," Resource and Energy Economics, Elsevier, vol. 27(2), pages 131-142, June.
    12. Grigorios Emvalomatis & Spiro E. Stefanou & Alfons Oude Lansink, 2010. "A Reduced-Form Model for Dynamic Efficiency Measurement: Application to Dairy Farms in Germany and The Netherlands," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 161-174.
    13. Falavigna, Greta & Ippoliti, Roberto & Manello, Alessandro & Ramello, Giovanni B., 2015. "Judicial productivity, delay and efficiency: A Directional Distance Function (DDF) approach," European Journal of Operational Research, Elsevier, vol. 240(2), pages 592-601.
    14. Latruffe, Laure & Fogarasi, József & Desjeux, Yann, 2012. "Efficiency, productivity and technology comparison for farms in Central and Western Europe: The case of field crop and dairy farming in Hungary and France," Economic Systems, Elsevier, vol. 36(2), pages 264-278.
    15. Thomas L. Cox & Michael K. Wohlgenant, 1986. "Prices and Quality Effects in Cross-Sectional Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 908-919.
    16. Antonio Alvarez & Carlos Arias & Luis Orea, 2006. "Explaining Differences in Milk Quota Values: The Role of Economic Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 182-193.
    17. Lau, Lawrence J & Yotopoulos, Pan A, 1971. "A Test for Relative Efficiency and Application to Indian Agriculture," American Economic Review, American Economic Association, vol. 61(1), pages 94-109, March.
    18. Breustedt, Gunnar & Latacz-Lohmann, Uwe & Tiedemann, Torben, 2011. "Organic or conventional? Optimal dairy farming technology under the EU milk quota system and organic subsidies," Food Policy, Elsevier, vol. 36(2), pages 223-229, April.
    19. Johan Swinnen & Pavel Ciaian & d’Artis Kancs, 2008. "Functioning of Land Markets in the EU Member States," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 51(2), pages 48-62.
    20. Seung Ahn & Robin Sickles, 2000. "Estimation of long-run inefficiency levels: a dynamic frontier approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 461-492.
    21. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    22. Johannes Sauer & Uwe Latacz-Lohmann, 2015. "Investment, technical change and efficiency: empirical evidence from German dairy production," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 42(1), pages 151-175.
    23. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-597, May.
    24. Silke Hüttel & Rashmi Narayana & Christina Wagner & Martin Odening, 2017. "Dynamic efficiency of German dairy farms under uncertainty," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 18(4), pages 427-458.
    25. OW Maietta, 2000. "The decomposition of cost inefficiency into technical and allocative components with panel data of Italian dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(4), pages 473-495, December.
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    5. Frederic Ang & Pieter Jan Kerstens, 2018. "Superlative approximation of the Luenberger-Hicks-Moorsteen productivity indicator: Theory and application," IFRO Working Paper 2018/10, University of Copenhagen, Department of Food and Resource Economics.
    6. F. Ang & K. H. Dakpo, 2021. "Comment: Performance measurement and joint production of intended and unintended outputs," Journal of Productivity Analysis, Springer, vol. 55(3), pages 185-188, June.
    7. Frederic Ang & Pieter Jan Kerstens, 2023. "Robust nonparametric analysis of dynamic profits, prices and productivity: An application to French meat-processing firms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 50(2), pages 771-809.
    8. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.
    9. Scarlett Wang & Frederic Ang & Alfons Oude Lansink, 2023. "Mitigating greenhouse gas emissions on Dutch dairy farms. An efficiency analysis incorporating the circularity principle," Agricultural Economics, International Association of Agricultural Economists, vol. 54(6), pages 819-837, November.
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    11. Magambo, Isaiah Hubert & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Dynamic Technical and Environmental Efficiency Performance of Large Gold Mines in Developing Countries," EconStor Preprints 235859, ZBW - Leibniz Information Centre for Economics.
    12. Melina Lamkowsky & Miranda P. M. Meuwissen & Harold A. B. van der Meulen & Frederic Ang, 2024. "How limiting is finance for Dutch dairy farms? A dynamic profit analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 382-403, February.
    13. Theodoros Skevas & Ioannis Skevas & Victor E. Cabrera, 2021. "Examining the Relationship between Social Inefficiency and Financial Performance. Evidence from Wisconsin Dairy Farms," Sustainability, MDPI, vol. 13(7), pages 1-14, March.
    14. Lin Gan & Takahashi Yoshifumi & Nomura Hisako & Yabe Mitsuyasu, 2024. "The short‐ and long‐term impacts of overinvestments on the profitability of agri‐food processing firms in China," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 227-247, January.
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