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Three decades of productivity change in French beef production: a F€are-Primont index decomposition

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  • Dakpo, K Herve
  • Jeanneaux, Philippe
  • Latruffe, Laure
  • Mosnier, Claire
  • Veysset, Patrick

Abstract

The F€are-Primont index is used to evaluate total factor productivity (TFP) change and its components for a sample of French suckler cow farms in grassland areas in 1985– 2014. The results reveal an increase in TFP of 6.6 per cent over the whole observation period, with technological progress being the major source of productivity growth. Meanwhile, efficiency decreased. Farms experienced great technological progress from 1991 to 2000. From a methodological point of view, the comparison with results obtained with Malmquist indexes shows similar trends but different magnitudes, with the Malmquist index overestimating the TFP and technological changes compared to the F€are-Primont index. In addition, the use of a sequential approach that restricts technological change to being positive or null allows for the precise calculation of technology changes, disregarding the effects of external conditions that are captured in efficiency changes. Finally, the estimation of full dimensional efficient facets (FDEFs) that guarantees the positivity of all shadow prices used to assess the mix efficiency component of TFP change is promising.

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  • Dakpo, K Herve & Jeanneaux, Philippe & Latruffe, Laure & Mosnier, Claire & Veysset, Patrick, 2018. "Three decades of productivity change in French beef production: a F€are-Primont index decomposition," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(3), July.
    • Handle: RePEc:ags:aareaj:313597
    DOI: 10.22004/ag.econ.313597
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    1. Lajos Baráth & Imre Fertő, 2017. "Productivity and Convergence in European Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 228-248, February.
    2. Galanopoulos, Konstantinos & Lindberg, Emma & Surry, Yves R. & Mattas, Konstadinos, 2006. "Agricultural productivity growth in the Mediterranean and tests of convergence among countries," 98th Seminar, June 29-July 2, 2006, Chania, Crete, Greece 10101, European Association of Agricultural Economists.
    3. Fuglie, Keith O. & MacDonald, James C. & Ball, V. Eldon, 2007. "Productivity Growth in U.S. Agriculture," Economic Brief 6382, United States Department of Agriculture, Economic Research Service.
    4. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    5. Victoria Shestalova, 2003. "Sequential Malmquist Indices of Productivity Growth: An Application to OECD Industrial Activities," Journal of Productivity Analysis, Springer, vol. 19(2), pages 211-226, April.
    6. Kecuk Suhariyanto & Colin Thirtle, 2001. "Asian Agricultural Productivity and Convergence," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(3), pages 96-110, September.
    7. Kecuk Suhariyanto & Angela Lusigi & Colin Thirtle, 2001. "Productivity Growth and Convergence in Asian and African Agriculture," Palgrave Macmillan Books, in: Peter Lawrence & Colin Thirtle (ed.), Africa and Asia in Comparative Economic Perspective, chapter 14, pages 258-273, Palgrave Macmillan.
    8. Khan, Farid & Salim, Ruhul & Bloch, Harry, 2015. "Nonparametric estimates of productivity and efficiency change in Australian Broadacre Agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(3), July.
    9. Maria Silva Portela & Pedro Borges & Emmanuel Thanassoulis, 2003. "Finding Closest Targets in Non-Oriented DEA Models: The Case of Convex and Non-Convex Technologies," Journal of Productivity Analysis, Springer, vol. 19(2), pages 251-269, April.
    10. Nin, Alejandro & Arndt, Channing & Preckel, Paul V., 2003. "Is agricultural productivity in developing countries really shrinking? New evidence using a modified nonparametric approach," Journal of Development Economics, Elsevier, vol. 71(2), pages 395-415, August.
    11. Sanzidur Rahman & Ruhul Salim, 2013. "Six Decades of Total Factor Productivity Change and Sources of Growth in Bangladesh Agriculture (1948–2008)," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 275-294, June.
    12. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275.
    13. Farid Khan & Ruhul Salim & Harry Bloch, 2015. "Nonparametric estimates of productivity and efficiency change in Australian Broadacre Agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(3), pages 393-411, July.
    14. Ole B. Olesen & Niels Chr. Petersen, 2015. "Facet Analysis in Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 6, pages 145-190, Springer.
    15. O. B. Olesen & N. C. Petersen, 1996. "Indicators of Ill-Conditioned Data Sets and Model Misspecification in Data Envelopment Analysis: An Extended Facet Approach," Management Science, INFORMS, vol. 42(2), pages 205-219, February.
    16. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    17. Mostafa Davtalab Olyaie & Israfil Roshdi & Gholamreza Jahanshahloo & Masoud Asgharian, 2014. "Characterizing and finding full dimensional efficient facets in DEA: a variable returns to scale specification," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(9), pages 1453-1464, September.
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    4. K Hervé Dakpo & Laure Latruffe & Yann Desjeux & Philippe Jeanneaux, 2021. "Latent Class Modelling for a Robust Assessment of Productivity: Application to French Grazing Livestock Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 760-781, September.

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