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Risk programming for agricultural resource allocation: A multidimensional risk approach

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  • Carlos Romero

Abstract

This paper develops an approach to deal with risk in agricultural decisions. Although the model is in line with the “Prospect ranking theory” and the “Partitioned multiobjective risk method”, which recognise the multidimensional character of any risk measure taken in agricultural decision‐making problems, its behavioural hypothesis and analytical development are totally different. The way in which the approach works is illustrated through a simple but well‐known example in agricultural planning. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • Carlos Romero, 2000. "Risk programming for agricultural resource allocation: A multidimensional risk approach," Annals of Operations Research, Springer, vol. 94(1), pages 57-68, January.
    • Handle: RePEc:spr:annopr:v:94:y:2000:i:1:p:57-68:10.1023/a:1018985620677
    DOI: 10.1023/A:1018985620677
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    Cited by:

    1. D. Latinopoulos, 2008. "Estimating the Potential Impacts of Irrigation Water Pricing Using Multicriteria Decision Making Modelling. An Application to Northern Greece," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(12), pages 1761-1782, December.
    2. Bisera Andrić Gušavac & Selman Karagoz & Milena Popović & Dragan Pamućar & Muhammet Deveci, 2023. "Reconcilement of conflicting goals: a novel operations research-based methodology for environmental management," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 7423-7460, August.
    3. Dionysis Latinopoulos, 2009. "Multicriteria decision-making for efficient water and land resources allocation in irrigated agriculture," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 11(2), pages 329-343, April.
    4. Rui Manuel de Sousa Fragoso & Maria de Belém Ferreira da Silva Costa Freitas & António Manuel de Sousa Xavier, 2012. "An eco-sustainable forest management model for the Mediterranean forests - a multiple criteria approach," CEFAGE-UE Working Papers 2012_22, University of Evora, CEFAGE-UE (Portugal).
    5. Gudbrand Lien & J. Hardaker & Marcel Asseldonk & James Richardson, 2011. "Risk programming analysis with imperfect information," Annals of Operations Research, Springer, vol. 190(1), pages 311-323, October.
    6. Tan, Barış & Çömden, Nihan, 2012. "Agricultural planning of annual plants under demand, maturation, harvest, and yield risk," European Journal of Operational Research, Elsevier, vol. 220(2), pages 539-549.
    7. Marius Rădulescu & Constanta Rădulescu & Gheorghiţă Zbăganu, 2014. "A portfolio theory approach to crop planning under environmental constraints," Annals of Operations Research, Springer, vol. 219(1), pages 243-264, August.

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