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Russischer Agrarsektor im Aufschwung? Eine Analyse der technischen und Skaleneffizienz der Agrarunternehmen

Listed author(s):
  • Stange, Henriette
  • Lissitsa, Alexej
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    Dieses Discussion Paper beschäftigt sich mit der Analyse der technischen und Skaleneffizienz russischer Agrarunternehmen im Transformationsprozess. Insbesondere wird hierbei der Einfluss der Faktoren Betriebsgröße, Rechtsform und Spezialisierung auf die Effizienz untersucht. Um die Auswirkungen der Reformen und die Veränderungen in den Agrarunternehmen zu erfassen, werden die Jahre 1993 und 2000 miteinander verglichen. Als methodisches Instrument wurde ein input-orientiertes Modell der Data Envelopment Analysis (DEA) zur Effizienzanalyse sowie DEA-Supereffizienzmodell zur Identifikation von Ausreißern und Überprüfung der Stabilität der Daten gewählt. Analysiert wurden im Jahr 1993 373 und im Jahr 2000 367 Nachfolgebetriebe ehemaliger Kolchosen und Sowchosen in Oblast Moskau. Die Ergebnisse der DEA-Modellrechnungen zeigen eine Verbesserung der durchschnittlichen Effizienz im Vergleich von 1993 zu 2000. Bei der Betrachtung der Einflussfaktoren auf die technische Effizienz hat die Wahl der Rechtsform keinen Einfluss. Hingegen beeinflussen Betriebsgröße und Spezialisierung die technische und Skaleneffizienz in beiden Jahren.

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    Paper provided by Leibniz Institute of Agricultural Development in Transition Economies (IAMO) in its series IAMO Discussion Papers with number 52.

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    Date of creation: 2003
    Handle: RePEc:zbw:iamodp:14913
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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(3).
    2. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    3. Epstein, David B. & Siemer, Jürgen, 1998. "Difficulties in the privatisation and reorganisation of the agricultural enterprises in Russia," IAMO Discussion Papers 8, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    4. Csaki, C., 2000. "Agricultural reforms in Central and Eastern Europe and the former Soviet Union: Status and perspectives," Agricultural Economics, Blackwell, vol. 22(1), pages 37-54, January.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Wolfgang HÄRDLE & J. MARRON & L. YANG, 1996. "Discussion," SFB 373 Discussion Papers 1996,65, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    7. Uvarovsky, Vladimir & Voigt, Peter, 2000. "Russia's agriculture: eight years in transition - convergence or divergence of regional efficiency," IAMO Discussion Papers 31, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    8. Csaki, C. & Lerman, Z. & Sotnikov, S., 2001. "Farm Debt in the CIS. A Multi-Country Study of the Major Causes and Proposed Solutions," World Bank - Discussion Papers 424, World Bank.
    9. Brooks, K. & Krylatykh, E. & Lerman, Zvi & Uzun, V., 1996. "Agricultural Reform in Russia: A View from the Farm Level," World Bank - Discussion Papers 327, World Bank.
    10. Zhu, Joe, 2001. "Super-efficiency and DEA sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 129(2), pages 443-455, March.
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