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Factors Constraining Efficiency of Russian Corporate Farms: The Case of the Moscow Region

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  • Hockmann, Heinrich
  • Svetlov, Nikolai M.

Abstract

A time series model is estimated to identify the interrelation among prices on the international and the EU domestic market for butter. Although the findings were not derived from a causal model, the inspection of the data provides economically reasonable and important insights in structural relationship between international and domestic prices. The fact that international prices in the EU and Oceania are causal for each other is an indication of an integrated market. Price transmission is not perfect suggesting that competition between the EU and Oceania exists, however, but not as intense as it could be expected for a homogeneous good like butter. The estimates provide that the EU absorbs price fluctuations form the word market. Interestingly, changes of prices in Oceania have no impact on the domestic EU market. Fluctuations of the EU world market prices, on the other hand, are absorbed to a large extent. One explanation is the inappropriate fixing export refunds.

Suggested Citation

  • Hockmann, Heinrich & Svetlov, Nikolai M., 2006. "Factors Constraining Efficiency of Russian Corporate Farms: The Case of the Moscow Region," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25439, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae06:25439
    DOI: 10.22004/ag.econ.25439
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    1. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    2. Kuosmanen, Timo & Cherchye, Laurens & Sipilainen, Timo, 2006. "The law of one price in data envelopment analysis: Restricting weight flexibility across firms," European Journal of Operational Research, Elsevier, vol. 170(3), pages 735-757, May.
    3. Sedik, David & Trueblood, Michael & Arnade, Carlos, 1999. "Corporate Farm Performance in Russia, 1991-1995: An Efficiency Analysis," Journal of Comparative Economics, Elsevier, vol. 27(3), pages 514-533, September.
    4. David Epstein & Peter Tillack, 1999. "How Russian Agricultural Enterprises Are Surviving: The Financial Status of Large Agricultural Enterprises in the St. Petersburg Region," Eastern European Economics, Taylor & Francis Journals, vol. 37(5), pages 52-92, October.
    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. Valdmanis, Vivian, 1992. "Sensitivity analysis for DEA models : An empirical example using public vs. NFP hospitals," Journal of Public Economics, Elsevier, vol. 48(2), pages 185-205, July.
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    Keywords

    Agribusiness; Productivity Analysis;

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