Trends in the French commercial farm population
AbstractKnowledge and projection of farm numbers and the structure of their population is an important issue for agricultural economists and policy makers. Although Markov chain models have enjoyed decades of popularity in forecasting total farm numbers, they generally fail to provide a detailed insight of the farm population’s structure; to overcome this caveat we estimate a parametric distribution of the utilized agricultural area of French commercial farms. Our method provides detailed information on the structure of the population and accounts for the specificity of off-land farming. We also model the influence of variables such as the farm’s legal status, type of farming and farm holder’s age. The estimation leads to a relevant description of the entire population of professional farm. When compared with the 2005 Farm Structure Survey data, our simulations based on FADN data display a close match across a number of key variables.
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Bibliographic InfoArticle provided by INRA Department of Economics in its journal Review of Agricultural and Environmental Studies.
Volume (Year): 91 (2010)
Issue (Month): 3 ()
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More information through EDIRC
farm structures; farm size distribution; maximum likelihood and simulation;
Other versions of this item:
- Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Karantininis, Kostas, 2001.
"Information Based Estimators for the Non-Stationary Transition Probability Matrix: An Application to the Danish Pork Industry,"
Unit of Economics Working papers, Royal Veterinary and Agricultural University, Food and Resource Economic Institute
24198, Royal Veterinary and Agricultural University, Food and Resource Economic Institute.
- Karantininis, Kostas, 2002. "Information-based estimators for the non-stationary transition probability matrix: an application to the Danish pork industry," Journal of Econometrics, Elsevier, Elsevier, vol. 107(1-2), pages 275-290, March.
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