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Allocating shadow prices in a multiobjective chance constrained model for biodiesel blending

Author

Listed:
  • C. Caldeira

    (Department of Mechanical Engineering, Faculty of Sciences and Technology, University of Coimbra, Portugal)

  • L. Dias

    (Faculty of Economics, University of Coimbra, Portugal)

  • F. Freire

    (Department of Mechanical Engineering, Faculty of Sciences and Technology, University of Coimbra, Portugal)

  • D. Kremmydas

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

  • S. Rozakis

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

Abstract

Biodiesel production sustainability relates to decision making on blending involving economic and environmental criteria. Several feedstocks candidate in European countries biodiesel industry, namely different vegetable origin oils. The present research aims at assessing the impact of technological constraints allocated to the decision objectives taking into account inherent uncertainty. For this purpose chance?constrained programming is used in order to maintain tolerance towards fuel quality.

Suggested Citation

  • C. Caldeira & L. Dias & F. Freire & D. Kremmydas & S. Rozakis, 2014. "Allocating shadow prices in a multiobjective chance constrained model for biodiesel blending," Working Papers 2014-7, Agricultural University of Athens, Department Of Agricultural Economics.
  • Handle: RePEc:aua:wpaper:2014-7
    as

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    File URL: http://aoatools.aua.gr/RePEc/aua/wpaper/files/2014-7_calderira_shadow.pdf
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    References listed on IDEAS

    as
    1. Shaik, Saleem & Helmers, Glenn A. & Langemeier, Michael R., 2002. "Direct And Indirect Shadow Price And Cost Estimates Of Nitrogen Pollution Abatement," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Biodiesel blends; Uncertainty; Chance constrained programming; Shadow prices; Multiobjective programming; GHG emissions;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q29 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Other
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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