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Positive multicriteria (PMC) models in agriculture for energy and environmental policy analysis

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  • Stelios Rozakis

Abstract

Environmental consciousness and accompanying actions have been paralleled by the evolution of multicriteria (MC) methods which have provided tools to assist policy makers in discovering compromises in order to muddle through. This paper recalls the development of MC 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 maximising behaviour. Concrete examples from recent literature illustrate the above statements and ideas for further research are provided.

Suggested Citation

  • Stelios Rozakis, 2011. "Positive multicriteria (PMC) models in agriculture for energy and environmental policy analysis," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 1(3), pages 321-337.
  • Handle: RePEc:ids:ijmcdm:v:1:y:2011:i:3:p:321-337
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    Citations

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    Cited by:

    1. Aleksandra Król & Jerzy Księżak & Elżbieta Kubińska & Stelios Rozakis, 2018. "Evaluation of Sustainability of Maize Cultivation in Poland. A Prospect Theory—PROMETHEE Approach," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    2. Kubińska, Elżbieta & Adamczyk-Kowalczuk, Magdalena & Andrzejewski, Mariusz & Rozakis, Stelios, 2022. "Incorporating the status quo effect into the decision making process: The case of municipal companies merger," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    3. 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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