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Multi-Criteria Analysis of Factors Use Level: The Case of Water for Irrigation

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Abstract

In this paper we present a methodology to analyse input use in the agricultural sector. The novelty of the theoretical model explained is that it has been developed considering a multi-criteria environment. Thus, the optimal input use condition is determined by the assessment of “multi-attribute utility” and “multiattribute marginal utility”. We show how the approach adopted in this paper is a generalization of the single-attribute expected utility theory. The theoretical model developed is further implemented in an empirical application that studies water for irrigation use as a particular case. Results show how multi-attribute utility functions elicited for a sample of 52 irrigators explain differences on irrigation water use in relative homogenous agricultural systems, albeit exhibiting similar water partial utility functions. We conclude that these differences come from the dissimilar weights that farmers attached to each attribute in the aggregate utility function. The irrigated area considered as case study is located in North-western Spain.

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  • José A. Gómez-Limón & Laura Riesgo & Manuel Arriaza, 2003. "Multi-Criteria Analysis of Factors Use Level: The Case of Water for Irrigation," Economic Working Papers at Centro de Estudios Andaluces E2003/18, Centro de Estudios Andaluces.
  • Handle: RePEc:cea:doctra:e2003_18
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    1. Arriaza Balmón, Manuel & Gomez-Limon, Jose A. & Upton, Martin, 2002. "Local water markets for irrigation in southern Spain: A multicriteria approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 46(1), March.
    2. Pannell, David J. & Nordblom, Thomas L., 1998. "Impacts of risk aversion on whole-farm management in Syria," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), September.
    3. Anderson, Jock R. & Feder, Gershon, 2007. "Agricultural Extension," Handbook of Agricultural Economics, Elsevier.
    4. Solano, C. & Leon, H. & Perez, E. & Herrero, M., 2001. "Characterising objective profiles of Costa Rican dairy farmers," Agricultural Systems, Elsevier, vol. 67(3), pages 153-179, March.
    5. Berbel, J. & Rodriguez-Ocana, A., 1998. "An MCDM approach to production analysis: An application to irrigated farms in Southern Spain," European Journal of Operational Research, Elsevier, vol. 107(1), pages 108-118, May.
    6. Cary, John W. & Holmes, Bill, 1982. "Relationships Among Farmers' Goals And Farm Adjustment Strategies: Some Empirics Of A Multidimensional Approach," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 26(02), August.
    7. Sumpsi, JoseMaria & Amador, Francisco & Romero, Carlos, 1997. "On farmers' objectives: A multi-criteria approach," European Journal of Operational Research, Elsevier, vol. 96(1), pages 64-71, January.
    8. Gomez-Limon, Jose Antonio & Riesgo, Laura & Arriaza Balmón, Manuel, 2002. "Agricultural Risk Aversion Revisited: A Multicriteria Decision-Making Approach," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24827, European Association of Agricultural Economists.
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    Cited by:

    1. José A. Gómez-Limón & Yolanda Martínez Martínez, 2004. "Multicriteria Modelling of Irrigation Water Market at Basin Level," Economic Working Papers at Centro de Estudios Andaluces E2004/26, Centro de Estudios Andaluces.
    2. Gomez-Limon, Jose A. & Martinez, Yolanda, 2006. "Multi-criteria modelling of irrigation water market at basin level: A Spanish case study," European Journal of Operational Research, Elsevier, vol. 173(1), pages 313-336, August.

    More about this item

    Keywords

    Production Theory; Input Use; MAUT; Water for Irrigation; Spain;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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