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Utility maximising supply response: the case of perennial biomass plantations in Poland

Author

Listed:
  • P. Mathiou

    (Department of Agricultural Economics and Development Agricultural University of Athens, Greece)

  • Stelios Rozakis

    (Department of Agricultural Economics and Rural Development, Agricultural University of Athens, Iera Odos 75, Athens 11855, Greece)

  • Rafal Pudelko

    ("Department of Agrometeorology and Applied Informatics, Institute of Soil Sciences and Plant Cultivation (IUNG), State Research Institute, Czartoryskich 8, 24-100 Pulawy, Poland")

  • A. Faber

    ("Department of Agrometeorology and Applied Informatics, Institute of Soil Sciences and Plant Cultivation (IUNG), State Research Institute, Czartoryskich 8, 24-100 Pulawy, Poland")

  • A. Petsakos

    (Economie Publique, Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2), Institut National de la Recherche Agronomique (INRA), France)

Abstract

Governments extensively use price support instruments to the energy industry combined with direct support for cultivating perennial crops to promote conversion of solid biomass to energy, in order to meet the goals of energy independence and mitigation of the greenhouse effect. In this paper, focusing on less fertile land classes in Poland, biomass supply is determined for a range of hypothetical prices and policy scenarios using bottom-up sector modelling. Risk-neutral and risk-averse farm-based models are run for examining willow and miscanthus adoption by Polish farmers at the municipal level.

Suggested Citation

  • P. Mathiou & Stelios Rozakis & Rafal Pudelko & A. Faber & A. Petsakos, 2014. "Utility maximising supply response: the case of perennial biomass plantations in Poland," Working Papers 2014-3, Agricultural University of Athens, Department Of Agricultural Economics.
    • Handle: RePEc:aua:wpaper:2014-3
    as

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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Willow; Miscanthus; Mathematical Programming; Utility Function; Biomass Supply; Spatial allocation;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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