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


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  • 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. -- E N G L I S H V E R S I O N: This Discussion Paper has been occupied with the analysis of the technical and scale efficiency of Russian farms during the transformation process. Especially the influence of the factors farm size, legal form and specialization is analysed. In order to list the effects of reforms and the changes in farms, the observation years 1993 and 2000 are compared. As a methodical instrument has been chosen an input-oriented model of Data Envelopment Analysis (DEA) for efficiency measurement as well as the DEA-Superefficiency model for identification of outliers and inspection of data stability. We analysed in year 1993 373 and the year of 2000 367 successors of former kolkhozes and state farms in Oblast Moscow. The results of the DEA model calculations show an improvement in average efficiency from 1993 to 2000. In consideration of the performance-influencing factors to technical efficiency, the choice of the legal form does not have any influence. On the other hand farm size and specialization influence the technical and scale efficiency in both years.

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    Paper provided by Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO) in its series IAMO Discussion Papers with number 52.

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    Date of creation: 2003
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    Handle: RePEc:zbw:iamodp:14913

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    Keywords: Effizienz; Supereffizienz; Data Envelopment Analysis; Transformationsprozess; Russland; Efficiency; superefficiency; Data Envelopment Analysis; transition; Russia;

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    1. 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 Central and Eastern Europe (IAMO).
    2. Csaki, C., 2000. "Agricultural reforms in Central and Eastern Europe and the former Soviet Union: Status and perspectives," Agricultural Economics, Blackwell, Blackwell, vol. 22(1), pages 37-54, January.
    3. repec:wop:humbsf:1996-65 is not listed on IDEAS
    4. 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.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, Elsevier, vol. 2(6), pages 429-444, November.
    6. 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 Central and Eastern Europe (IAMO).
    7. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, INFORMS, vol. 39(10), pages 1261-1264, October.
    8. 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, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 50(3).
    9. Zhu, Joe, 2001. "Super-efficiency and DEA sensitivity analysis," European Journal of Operational Research, Elsevier, Elsevier, vol. 129(2), pages 443-455, March.
    10. 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, World Bank 424, World Bank.
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    Cited by:
    1. Lissitsa, Alexej, 2005. "The Balanced Scorecard Implementation in Farm Enterprise - A Case Study from Ukraine," 15th Congress, Campinas SP, Brazil, August 14-19, 2005, International Farm Management Association 24272, International Farm Management Association.


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