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Positive multi-criteria models in agriculture for energy and environmental policy analysis

Author

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  • Stelios Rozakis

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

Abstract

Environmental consciousness and accompanying actions have been paralleled by the evolution of multi-criteria methods which have provided tools to assist policy makers in discovering compromises in order to muddle through. This paper recalls the development of multi-criteria methods in agriculture, focusing on their contribution to produce input or output functions useful for environmental and/or energy policy. Response curves generated by MC models can more accurately predict farmers’ response to market and policy parameters compared with classic profit maximizing behavior. Concrete examples from recent literature illustrate the above statements and ideas for further research are provided.

Suggested Citation

  • Stelios Rozakis, 2010. "Positive multi-criteria models in agriculture for energy and environmental policy analysis," Working Papers 2010-04, Agricultural University of Athens, Department Of Agricultural Economics.
    • Handle: RePEc:aua:wpaper:2010-04
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    File URL: http://aoatools.aua.gr/RePEc/aua/wpaper/files/2010_4_rozakis.pdf
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    References listed on IDEAS

    as
    1. A O Kazakçi & S Rozakis & D Vanderpooten, 2007. "Energy crop supply in France: a min-max regret approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(11), pages 1470-1479, November.
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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.

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    More about this item

    Keywords

    multi-criteria models; interval programming; supply curves; bio-energy; policy analysis;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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