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Introducing deficit irrigation crop techniques derived by crop growth models into a Positive Mathematical Programming model

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  • Severini, Simone
  • Cortignani, Raffaele

Abstract

There is a growing policy pressure to reduce water use in agriculture when this generates sufficiently large environmental benefits and increases the well-being of other water users. Several analysis investigate farmers’ response to water policy by means of mathematical programming models including Positive Mathematical Programming (PMP). The originals PMP methods refer only to activities observed in the reference period. However, under the pressure of new water policies, farmers can adjust not only their cropping patterns but also the irrigation techniques they use. In particular, they could introduce water deficit irrigation crop techniques that were not profitable in past conditions. This paper proposes an extension of the Röhm and Dabbert approach (2003) in order to include deficit irrigation crop techniques not observed in the reference period into a PMP model. These alternative techniques are identified by means of a crop growth model developed by FAO. The proposed methodology is applied to a Mediterranean area performing two sets of simulations considering : the increase of water cost and the reduction of water availability. The results shows that, when water availability decreases, not considering adjustments in irrigation techniques is likely to underestimate the extent of farmers’ response to the new policy scenarios. In facts, introducing deficit irrigation techniques can alleviate the negative impact of decreasing water availability on farm economic results by using more efficiently this resource. However, this is not the case for the considered water cost increases.

Suggested Citation

  • Severini, Simone & Cortignani, Raffaele, 2008. "Introducing deficit irrigation crop techniques derived by crop growth models into a Positive Mathematical Programming model," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44010, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae08:44010
    DOI: 10.22004/ag.econ.44010
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    References listed on IDEAS

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    1. Arfini, Filippo & Donati, Michele, 2011. "Organic Productions and Capacity to Respond to Market Signals and Policies: An Empirical Analysis of a Sample of FADN Farms," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114229, European Association of Agricultural Economists.
    2. Cortignani, Raffaele & Severini, Simone, 2009. "Modeling farm-level adoption of deficit irrigation using Positive Mathematical Programming," Agricultural Water Management, Elsevier, vol. 96(12), pages 1785-1791, December.
    3. Cortignani, Raffaele & Severini, Simone, 2010. "The impact of reforming the Common Agricultural Policy on the sustainability of the irrigated area of Central Italy. An empirical assessment by means of a Positive Mathematical Programming model," 120th Seminar, September 2-4, 2010, Chania, Crete 109318, European Association of Agricultural Economists.
    4. Arata, Linda & Donati, Michele & Sckokai, Paolo & Arfini, Filippo, 2014. "Incorporating risk in a positive mathematical programming framework: a new methodological approach," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182659, European Association of Agricultural Economists.
    5. Mohammad Ali Asaadi & Seyed Abolghasem Mortazavi & Omid Zamani & Gholam Hassan Najafi & Talal Yusaf & Seyed Salar Hoseini, 2019. "The Impacts of Water Pricing and Non-Pricing Policies on Sustainable Water Resources Management: A Case of Ghorveh Plain at Kurdistan Province, Iran," Energies, MDPI, vol. 12(14), pages 1-16, July.

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