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Empirical Demand Analysis For Long - Length Roundwood (Sawlogs) In Greece

Author

Listed:
  • Stathis Klonaris

    (Department of Agricultural Economics & Rural Development, Agricultural University of Athens")

  • Garyfallos Arabatzis

    (Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace)

Abstract

In Greece and internationally, the roundwood is one of the most important forest products as it is used widely in construction and building sector. In this study the process of wholesale long-length roundwood (>2m) price determination is depicted in the form of an inverse demand system. The empirical application based on five species of long-length roundwood using yearly data for auctions providing reasonable and promising results. The own-quantity flexibilities suggest that the responses of prices to own-quantity changes are inelastic while Allais coefficients suggest substitutability between the different species of log-length roundwood.

Suggested Citation

  • Stathis Klonaris & Garyfallos Arabatzis, 2009. "Empirical Demand Analysis For Long - Length Roundwood (Sawlogs) In Greece," Working Papers 2009-03, Agricultural University of Athens, Department Of Agricultural Economics.
    • Handle: RePEc:aua:wpaper:2009-03
    as

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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Inverse Almost Ideal Demand System; demand analysis; flexibilities; long-length roundwood; wood sector; Greece;
    All these keywords.

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • F10 - International Economics - - Trade - - - General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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