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Die Schatzung Verfahrensspezifischer Faktoreinsatzmengen Fur Die Landwirtschaft In Deutschland

  • Hansen, Heiko
  • Surry, Yves R.
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    Aus der regionalen landwirtschaftlichen Gesamtrechnung der Länder für die Bundesrepublik Deutschland lässt sich nicht entnehmen, wie sich die Vorleistungen auf einzelne Produktions-verfahren verteilen. Im vorliegenden Beitrag werden mit Hilfe der Maximum-Entropie-Methode verfahrensspezifische Faktoreinsatzmengen aus diesen Daten geschätzt. Die Modell-ergebnisse für die Jahre 1991 bis 2004 zeigen erwartungsgemäß heterogene Koeffizienten für die untersuchten Agrarprodukte. Auffallend ist der starke Rückgang des Einsatzes zugekauf-ter Futtermittel in der Milchproduktion sowie bei Rindern und Kälbern. Der Einsatz innerbe-trieblich erzeugter Futtermittel hat dagegen bei diesen Produktionsverfahren, insbesondere in der Milchproduktion, im Zeitablauf zugenommen.

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    File URL: http://purl.umn.edu/14959
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    Paper provided by German Association of Agricultural Economists (GEWISOLA) in its series 46th Annual Conference, Giessen, Germany, October 4-6, 2006 with number 14959.

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    Date of creation: 2006
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    Handle: RePEc:ags:gewi06:14959
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    1. Paul V. Preckel, 2001. "Least Squares and Entropy: A Penalty Function Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 366-377.
    2. Peeters, Ludo & Surry, Yves R., 2003. "Farm Cost Allocation Based on the Maximum Entropy Methodology - The Case of Saskatchewan Crop Farms," Economic and Market Information 54461, Agriculture and Agri-Food Canada.
    3. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
    4. P. Midmore, 1990. "Estimating Input-Output Coefficients From Regional Farm Data-A Comment," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(1), pages 108-111.
    5. Lence, Sergio H. & Miller, Douglas, 1998. "Recovering Output-Specific Inputs from Aggregate Input Data: A Generalized Cross Entropy Approach," Staff General Research Papers 1305, Iowa State University, Department of Economics.
    6. Yves Léony & Ludo Peeters & Maurice Quinqu & Yves Surry, 1999. "The Use of Maximum Entropy to Estimate Input-Output Coefficients From Regional Farm Accounting Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 425-439.
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