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Economic and spatial modelling for estimating supply of perennial crops’ biomass 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)

Abstract

Among measures to promote renewable energy the electricity feed-in tariff scheme is extensively used in many countries to meet the goals set by governments related to energy independence and mitigation of greenhouse effect. In this paper, an agricultural supply spatial model is run to estimate biomass plantations adoption by Polish farmers at the municipal level. Detailed spatial and agronomic information is used limiting potential areas to the less fertile land, focusing on certain land classes where research undertaken by IUNG has provided reliable estimates for willow and miscanthus cultivation needs and production yields. Decisions on multi-year land use for dedicated energy plantations replacing conventional annual crops such as rye and triticale are driven by discounted cash flow analysis. An appropriate mathematical model is built in order to estimate biomass for energy supply for a range of hypothetical prices offered by coal fueled power plants. Parametric optimization results are shown in supply curve form in order to determine efficient price levels. Results are illustrated also in terms of crop acreages as well as spatial distribution at the national level in NUTS5 resolution

Suggested Citation

  • P. Mathiou & Stelios Rozakis & Rafal Pudelko & A. Faber, 2012. "Economic and spatial modelling for estimating supply of perennial crops’ biomass in Poland," Working Papers 2012-2, Agricultural University of Athens, Department Of Agricultural Economics.
    • Handle: RePEc:aua:wpaper:2012-2
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    References listed on IDEAS

    as
    1. Epplin, Francis M. & Clark, Christopher D. & Roberts, Roland K. & Hwang, Seonghuyk, 2007. "AJAE Appendix: Challenges to the Development of a Dedicated Energy Crop," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 89(5), pages 1-13, December.
    2. Lintunen, Jussi & Kangas, Hanna-Liisa, 2010. "The case of co-firing: The market level effects of subsidizing biomass co-combustion," Energy Economics, Elsevier, vol. 32(3), pages 694-701, May.
    3. Clancy, D. & Breen, J.P. & Thorne, F. & Wallace, M., 2012. "The influence of a Renewable Energy Feed in Tariff on the decision to produce biomass crops in Ireland," Energy Policy, Elsevier, vol. 41(C), pages 412-421.
    4. Bocquého, G. & Jacquet, F., 2010. "The adoption of switchgrass and miscanthus by farmers: Impact of liquidity constraints and risk preferences," Energy Policy, Elsevier, vol. 38(5), pages 2598-2607, May.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. 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.
    2. Mantziaris, Stamatis & Iliopoulos, Constantine & Theodorakopoulou, Irini & Petropoulou, Eugenia, 2017. "Perennial energy crops vs. durum wheat in low input lands: Economic analysis of a Greek case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 789-800.

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    More about this item

    Keywords

    Willow; Miscanthus; Cost analysis; Mathematical programming; Biomass Supply; Feed-in tariffs; Spatial analysis;
    All these keywords.

    JEL classification:

    • 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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