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A Non-Parametric Approach-Based Trade-Off between Food System Efficiency and Robustness

Author

Listed:
  • Muna A. Al-Ansari

    (Mechanical and Industrial Engineering Department, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Hamad Nabeel

    (Mechanical and Industrial Engineering Department, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Galal M. Abdella

    (Mechanical and Industrial Engineering Department, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Tarek El Mekkawy

    (Mechanical and Industrial Engineering Department, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

  • Adeeb A. Kutty

    (Mechanical and Industrial Engineering Department, College of Engineering, Qatar University, Doha P.O. Box 2713, Qatar)

Abstract

Balancing the efficiency and robustness of food systems is a well-known trade-off process. Over-optimization of efficiency may lead to excessive use of resources. On the other hand, the under-optimization of efficiency may lead to excessive waste of resources. This paper presents a novelly structured approach that integrates two well-suited non-parametric methods for analyzing and balancing the interconnection between the efficiency and robustness of food systems. This approach, which consists of three main steps, provides a theoretical framework and offers practical solutions. First, slacks-based data envelopment analysis (SBM-DEA) is utilized to analyze the efficiency of five food robustness dimensions. Second, the weighted efficiency of these dimensions is computed and analyzed to provide insight into their influence on food system efficiency. Finally, two search methods were developed to identify improving efficiency and robustness opportunities. The outcomes of these methods were analyzed and validated using data from 37 countries, with robustness dimension weights determined via the Analytic Hierarchy Process (AHP). While the first improvement method provided valuable insights, the second method proved more effective in identifying the sources of inefficiency of robustness dimensions.

Suggested Citation

  • Muna A. Al-Ansari & Hamad Nabeel & Galal M. Abdella & Tarek El Mekkawy & Adeeb A. Kutty, 2024. "A Non-Parametric Approach-Based Trade-Off between Food System Efficiency and Robustness," Sustainability, MDPI, vol. 16(15), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6480-:d:1445235
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    References listed on IDEAS

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    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Saaty, Thomas L., 1978. "Modeling unstructured decision problems — the theory of analytical hierarchies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 20(3), pages 147-158.
    3. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. C Kao & H-T Hung, 2005. "Data envelopment analysis with common weights: the compromise solution approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1196-1203, October.
    6. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    7. Gallego-Álvarez, Prof. Isabel & Ortas, Prof. Eduardo, 2017. "Corporate environmental sustainability reporting in the context of national cultures: A quantile regression approach," International Business Review, Elsevier, vol. 26(2), pages 337-353.
    8. Pastor, J. T. & Ruiz, J. L. & Sirvent, I., 1999. "An enhanced DEA Russell graph efficiency measure," European Journal of Operational Research, Elsevier, vol. 115(3), pages 596-607, June.
    Full references (including those not matched with items on IDEAS)

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