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Morcellement du parcellaire et Performance des exploitations : une application à la Bretagne

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  • Legrand Dunold Fils Saint-Cyr

    (SMART-LERECO - Structures et Marché Agricoles, Ressources et Territoires - INRA - Institut National de la Recherche Agronomique - AGROCAMPUS OUEST, AGROCAMPUS OUEST)

Abstract

The purpose of this study was to investigate the impact of land fragmentation on farm performance in the Brittany region of France for 2007. To do so, performance indicators (technical efficiency, pure technical efficiency and scale efficiency) calculated with Farm Accountancy Data Network (FADN) were regressed on several fragmentation descriptors calculated at the farm level using data from the cartographic field pattern registry (RPG). However, matching the two data bases using sorting and a propensity score was necessary beforehand. The results show that land fragmentation a measured by the number of plots, average size of plots, and average distance between plots were positively related respectively to technical efficiency, technical pure efficiency and scale efficiency. They also show that efficiency and the impact of the number of plots differs across farm specializations (Otex). Contrary to most studies in the literature, our study revealed that the number of plot can be positively related to farms performance. Its impact depends on the specialization of the farms, as a consolidation program reducing the number of plots may decrease farm performance in some cases.

Suggested Citation

  • Legrand Dunold Fils Saint-Cyr, 2013. "Morcellement du parcellaire et Performance des exploitations : une application à la Bretagne," Post-Print hal-01208912, HAL.
    • Handle: RePEc:hal:journl:hal-01208912
    Note: View the original document on HAL open archive server: https://hal.science/hal-01208912
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    References listed on IDEAS

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    1. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    2. Baier, Scott L. & Bergstrand, Jeffrey H., 2009. "Estimating the effects of free trade agreements on international trade flows using matching econometrics," Journal of International Economics, Elsevier, vol. 77(1), pages 63-76, February.
    3. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    4. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    5. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    6. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
    7. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    8. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
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