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

Author

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  • 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.

Suggested Citation

  • Nikolai Svetlov, 2001. "Econometric application of linear programming: a model of Russian large-scale farm (the case of the Moscow Region)," Econometrics 0112002, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:0112002
    Note: Type of Document - PDF; pages: 23 ; figures: included
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    References listed on IDEAS

    as
    1. 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.
    2. Amador, Francisco & Sumpsi, Jose Maria & Romero, Carlos, 1998. "A Non-interactive Methodology to Assess Farmers' Utility Functions: An Application to Large Farms in Andalusia, Spain," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 25(1), pages 92-109.
    3. 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.
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    Cited by:

    1. Svetlov, Nikolai M. & Hockmann, Heinrich, 2005. "Technical And Economic Efficiency Of Russian Corporate Farms: The Case Of The Moscow Region," IAMO Discussion Papers 14922, Institute of Agricultural Development in Transition Economies (IAMO).

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    More about this item

    Keywords

    linear programming; general reciprocity theorem; Leontieff technologies; farm behaviour; Russian agriculture; case farm; utility function; operating capital.;
    All these keywords.

    JEL classification:

    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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