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Econometric application of linear programming: a model of Russian large-scale farm (the case of the Moscow Region)

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Author Info

  • Nikolai Svetlov

    (Moscow Timiryazev Agricultural Academy)

Abstract

Linear programming model and general reciprocity theorem in mathematical programming are used to ap-proach utility functions of six large-scale Russian (the Moscow Region) case farms representing different production patterns. Technological coefficients of linear programmes are defined by means of linear regression. The data over 311 farms operating in the Moscow Region in 1999 are used. The utility functions include depreciation, wages and social costs. These attributes are about as desirable for the farms as profit. Milk production is associated with hidden utility amounting to a quarter of total utility. Vegetables market imperfections result from high price elasticity with respect to supply (–0.46). The scarcity of operating capital severely hampers agricultural production.

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File URL: http://128.118.178.162/eps/em/papers/0112/0112002.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Econometrics with number 0112002.

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Length: 23 pages
Date of creation: 11 Dec 2001
Date of revision:
Handle: RePEc:wpa:wuwpem:0112002

Note: Type of Document - PDF; pages: 23 ; figures: included
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Web page: http://128.118.178.162

Related research

Keywords: linear programming; general reciprocity theorem; Leontieff technologies; farm behaviour; Russian agriculture; case farm; utility function; operating capital.;

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  1. W. Kip Viscusi & William N. Evans, 1998. "Estimation Of Revealed Probabilities And Utility Functions For Product Safety Decisions," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 28-33, February.
  2. Swinnen, Johan F. M. & Gow, Hamish R., 1999. "Agricultural credit problems and policies during the transition to a market economy in Central and Eastern Europe," Food Policy, Elsevier, vol. 24(1), pages 21-47, February.
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