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Energy Crop Supply in France: A Min-Max Regret Approach

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  • Kazakci, Akin
  • Rozakis, Stelios

Abstract

This paper attempts to estimate energy crop supply using an LP model comprising hundreds of representative farms of the arable cropping sector in France. In order to enhance the predictive ability of such a model and to provide an analytical tool useful to policy makers, interval linear programming (ILP) is used to formalise bounded rationality conditions. In the presence of uncertainty related to yields and prices it is assumed that the farmer minimises the distance from optimality once uncertainty resolves introducing an alternative criterion to the classic profit maximisation rationale. Model validation based on observed activity levels suggests that about 40% of the farms adopt the min-max regret criterion. Then energy crop supply curves, generated by the min-max regret model, are proved to be upward sloped alike classic LP supply curves.

Suggested Citation

  • Kazakci, Akin & Rozakis, Stelios, 2005. "Energy Crop Supply in France: A Min-Max Regret Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24751, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaae05:24751
    DOI: 10.22004/ag.econ.24751
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    Cited by:

    1. Stelios Rozakis, 2010. "Hybrid linear programming to estimate CAP impacts of flatter rates and environmental top-ups," Working Papers 2010-03, Agricultural University of Athens, Department Of Agricultural Economics.
    2. Carlo Giupponi & Francesco Bosello & Andrea Povellato, 2007. "A Review of Recent Studies on Cost Effectiveness of GHG Mitigation Measures in the European Agro-Forestry Sector," Working Papers 2007.14, Fondazione Eni Enrico Mattei.
    3. Bartoli, A. & Cavicchioli, D. & Kremmydas, D. & Rozakis, S. & Olper, A., 2016. "The impact of different energy policy options on feedstock price and land demand for maize silage: The case of biogas in Lombardy," Energy Policy, Elsevier, vol. 96(C), pages 351-363.
    4. Rozakis, Stelios, 2011. "Impacts of flatter rates and environmental top-ups in Greece: A novel mathematical modeling approach," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 12(2).
    5. 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.
    6. Bartoli, Andrea & Hamelin, Lorie & Rozakis, Stelios & Borzęcka, Magdalena & Brandão, Miguel, 2019. "Coupling economic and GHG emission accounting models to evaluate the sustainability of biogas policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 133-148.
    7. Ram, Camelia, 2020. "Scenario presentation and scenario generation in multi-criteria assessments: An exploratory study," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    8. Jungho Park & Hadi El-Amine & Nevin Mutlu, 2021. "An Exact Algorithm for Large-Scale Continuous Nonlinear Resource Allocation Problems with Minimax Regret Objectives," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 1213-1228, July.
    9. Mavrotas, George & Diakoulaki, Danae & Florios, Kostas & Georgiou, Paraskevas, 2008. "A mathematical programming framework for energy planning in services' sector buildings under uncertainty in load demand: The case of a hospital in Athens," Energy Policy, Elsevier, vol. 36(7), pages 2415-2429, July.
    10. Reidsma, Pytrik & Janssen, Sander & Jansen, Jacques & van Ittersum, Martin K., 2018. "On the development and use of farm models for policy impact assessment in the European Union – A review," Agricultural Systems, Elsevier, vol. 159(C), pages 111-125.
    11. Fabio Furini & Manuel Iori & Silvano Martello & Mutsunori Yagiura, 2015. "Heuristic and Exact Algorithms for the Interval Min–Max Regret Knapsack Problem," INFORMS Journal on Computing, INFORMS, vol. 27(2), pages 392-405, May.
    12. Roy, Bernard, 2010. "Robustness in operational research and decision aiding: A multi-faceted issue," European Journal of Operational Research, Elsevier, vol. 200(3), pages 629-638, February.
    13. 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.
    14. Aissi, Hassene & Bazgan, Cristina & Vanderpooten, Daniel, 2009. "Min-max and min-max regret versions of combinatorial optimization problems: A survey," European Journal of Operational Research, Elsevier, vol. 197(2), pages 427-438, September.

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    More about this item

    Keywords

    Crop Production/Industries; Resource /Energy Economics and Policy;

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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