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A decomposition of profit loss under output price uncertainty

Author

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  • Jean-Philippe Boussemart

    (UFR MIME - UFR de Mathématiques, Informatique, Management, Economie - Université de Lille, Sciences Humaines et Sociales, IESEG - School of Management, LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • David Crainich

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Herve Leleu

    (UCL FGES - Université Catholique de Lille - Faculté de gestion, économie et sciences - ICL - Institut Catholique de Lille - UCL - Université catholique de Lille, LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper, firm profit loss is decomposed as the sum of two terms related to the output price uncertainty (price expectation error and risk preference), plus one extra term expressing technical inefficiency. We then describe the implementation of our theoretical model in a robust data envelopment analysis (DEA) framework, which allows an effective and separate estimation of each term of the decomposition. In addition, we offer an operational tool to reveal producers' risk preferences. A 2009 database of French fattening pig farms is used as an illustration. Our results indicate that risk preference and technical inefficiency are the main sources of profit loss.

Suggested Citation

  • Jean-Philippe Boussemart & David Crainich & Herve Leleu, 2015. "A decomposition of profit loss under output price uncertainty," Post-Print hal-01526027, HAL.
    • Handle: RePEc:hal:journl:hal-01526027
    DOI: 10.1016/j.ejor.2014.12.044
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    Cited by:

    1. Walheer, Barnabé & Zhang, Linjia, 2018. "Profit Luenberger and Malmquist-Luenberger indexes for multi-activity decision making units: the case of the star-rated hotel industry in China," RIEI Working Papers 2018-06, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    2. Chen, Xiang & Grifell-Tatjé, Emili & Fu, Tsu-Tan, 2023. "A profit difference decomposition model for measuring group performance: an application to Chinese and Taiwanese commercial banks," Omega, Elsevier, vol. 120(C).
    3. Alghalith, Moawia, 2016. "A note on the theory of the firm under multiple uncertainties," European Journal of Operational Research, Elsevier, vol. 251(1), pages 341-343.
    4. Barnabé Walheer, 2019. "Dynamic directional nonparametric profit efficiency analysis for a single decision-making unit: an aggregation approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(4), pages 1123-1149, December.
    5. Crainich, David & Eeckhoudt, Louis & Menegatti, Mario, 2016. "Changing risks and optimal effort," Journal of Economic Behavior & Organization, Elsevier, vol. 125(C), pages 97-106.
    6. Walheer, Barnabe & Hudik, Marek, 2019. "Reallocation of resources in multidivisional firms: A nonparametric approach," International Journal of Production Economics, Elsevier, vol. 214(C), pages 196-205.
    7. Cherchye, Laurens & De Rock, Bram & Walheer, Barnabé, 2016. "Multi-output profit efficiency and directional distance functions," Omega, Elsevier, vol. 61(C), pages 100-109.

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