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Einflussfaktoren auf dei Effizienz von ökologisch wirtschaftenden Milchviehbetrieben: Die Rolle von Agglomerationen und von agrarpolitischer Förderung

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  • Lakner, Sebastian

Abstract

Der vorliegende Beitrag untersucht die Einflussfaktoren auf Ökologische Futterbaubetriebe in Deutschland. Der Datensatz besteht aus Buchführungsdaten von 305 Betrieben aus den Wirtschaftsjahren 1994/1995 bis 2005/2006. Fünf Inputs und ein Output wurden mit Hilfe einer stochastischen Frontieranalyse (SFA) untersucht. Das Model lässt die Schätzung von Heteroskedastizität zu und schätzt die Einflussfaktoren auf die technische Effizienz mit Hilfe des „Technical Effects Model“. Die Auswahl der Bestimmungs-gründe der technischen Effizienz umfasst 5 Indikatorgruppen. Die Analyse ist fokussiert auf die Auswirkungen der agrarpolitischen Instrumente und der regionalen Einflussfaktoren. Die Ergebnisse zeigen, das Zahlen der Agrarumweltprogramme die technische Effizienz kaum beeinflussen. Betriebe, die an Agrarinvestitionsprogrammen teilnehmen zeigen dagegen eine niedrigere Effizienz. Daneben bestätigt die Studie, dass im Bereich des Ökologischen Landbaus Agglomerationseffekte auftreten, die sich positiv auf die einzelbetriebliche Effizienz auswirken.

Suggested Citation

  • Lakner, Sebastian, 2009. "Einflussfaktoren auf dei Effizienz von ökologisch wirtschaftenden Milchviehbetrieben: Die Rolle von Agglomerationen und von agrarpolitischer Förderung," 49th Annual Conference, Kiel, Germany, September 30-October 2, 2009 53267, German Association of Agricultural Economists (GEWISOLA).
    • Handle: RePEc:ags:gaae09:53267
    DOI: 10.22004/ag.econ.53267
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    References listed on IDEAS

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    1. Balmann, Alfons & Czasch, Britta, 2001. "Zur Effizienz landwirtschaftlicher Unternehmen in Brandenburg – Eine Data Envelopment Analysis," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 50(03), pages 1-6.
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    3. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    4. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Agricultural and Food Policy; Farm Management;

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