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An examination of economic efficiency of Russian crop production in the reform period

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  • Stefan Osborne
  • Michael A. Trueblood

Abstract

This article examines economic efficiency (EE) of crop production of Russian corporate farms for 1993–1998. EE declined over the period, due to declines in both technical and allocative efficiency. Technical efficiency (TE) results indicate that output levels could have been maintained while reducing overall input use by an average of 29–31% in 1998, depending on the method used, while the allocative efficiency (AE) results show that costs could have been reduced about 30%. The EE scores show that Russian corporate farms could have increased efficiency by reducing the use of all inputs, particularly fertilizer and fuel. Russian agriculture inherited machinery‐intensive technology from the Soviet era, which may be inappropriate given the relative abundance of labor in the post‐reform environment. Investment constraints have prevented the replacement of old machinery‐intensive technology with smaller scale machines that allow for a more labor‐using technology.

Suggested Citation

  • Stefan Osborne & Michael A. Trueblood, 2006. "An examination of economic efficiency of Russian crop production in the reform period," Agricultural Economics, International Association of Agricultural Economists, vol. 34(1), pages 25-38, January.
    • Handle: RePEc:bla:agecon:v:34:y:2006:i:1:p:25-38
    DOI: 10.1111/j.1574-0862.2006.00100.x
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    References listed on IDEAS

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    1. Annette N. Brown, 1997. "The Economic Determinants of the Internal Migration Flows in Russia During Transition," William Davidson Institute Working Papers Series 89, William Davidson Institute at the University of Michigan.
    2. Lerman, Zvi & Kislev, Yoav & Biton, David & Kriss, Alon, 2003. "Agricultural Output and Productivity in the Former Soviet Republics," Economic Development and Cultural Change, University of Chicago Press, vol. 51(4), pages 999-1018, July.
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    Cited by:

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    2. Bezlepkina, Irina V. & Oude Lansink, Alfons G.J.M., 2003. "Liquidity And Productivity In Russian Agriculture: Farm-Data Evidence," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25824, International Association of Agricultural Economists.
    3. Belyaeva, Maria & Hockmann, Heinrich, 2015. "Impact of regional diversity on production potential: an example of Russia," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 117(2), pages 1-8, August.
    4. Matheus Koengkan & José Alberto Fuinhas & Emad Kazemzadeh & Fariba Osmani & Nooshin Karimi Alavijeh, 2022. "Measuring the economic efficiency performance in Latin American and Caribbean countries: An empirical evidence from stochastic production frontier and data envelopment analysis," International Economics, CEPII research center, issue 169, pages 43-54.
    5. Hahlbrock, Konstantin & Hockmann, Heinrich, 2011. "Does Group Affiliation Increase Productivity And Efficiency In Russia’S Agriculture? Evidence From Agroholdings In The Belgorod Oblast," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114579, European Association of Agricultural Economists.
    6. Miroslav SVATOŠ & Luboš SMUTKA & Natalia ISHCHUKOVA, 2014. "The position of agriculture in the Russian Federation - the last two decades development overview," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(11), pages 489-502.
    7. Nyanjong', Oyugi Johana & Lagat, Job, 2012. "Analysis of efficiency in sugarcane production: the case of men and women headed households in SONY sugar out -grower zone, Rongo and Trans-Mara districts, Kenya," MPRA Paper 40796, University Library of Munich, Germany.
    8. Prishchepov, Alexander & Ponkina, Elena & Sun, Zhanli & Müller, Daniel, 2019. "Выявление Детерминант Урожайности Пшеницы В Западной Сибири С Использованием Байесовских Сетей [Revealing the Determinants of Wheat Yields in the Siberian Breadbasket of Russia with Bayesian Networ," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 15(1), pages 39-83.
    9. Prishchepov, Alexander V. & Ponkina, Elena & Sun, Zhanli & Müller, Daniel, 2019. "Revealing the determinants of wheat yields in the Siberian breadbasket of Russia with Bayesian networks," Land Use Policy, Elsevier, vol. 80(C), pages 21-31.
    10. Hahlbrock, Konstantin & Hockmann, Heinrich, 2011. "Influence Of The Integration Of Agroholdings With Russian Farms On Total Factor Productivity And Its Subcomponents," 51st Annual Conference, Halle, Germany, September 28-30, 2011 114508, German Association of Agricultural Economists (GEWISOLA).

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