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The PROMETHEE Framework for Comparing the Sustainability of Agricultural Systems

Author

Listed:
  • Byomkesh Talukder

    (Dahdaleh Institute for Global Health Research, York University, Suite 2150, 88 The Pond Road, Toronto, ON M3J 2S5, Canada)

  • Keith W. Hipel

    (Conflict Analysis Group, Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada
    Centre for International Governance Innovation and Balsillie School of International Affairs, Waterloo, ON N2L 6C2, Canada)

Abstract

The PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) method is applied to five different types of agricultural systems in coastal Bangladesh in order to rank the alternatives from most to least suitable according to a range of sustainability indicators. More specifically, composite indicators from six sustainability categories—productivity, stability, efficiency, durability, compatibility, and equity—are used for this assessment. The case study demonstrates that PROMETHEE constitutes a flexible MCDA (Multi-Criteria Decision Analysis) tool to investigate the sustainability of agricultural systems, rank the different alternative systems, and provide valuable insights.

Suggested Citation

  • Byomkesh Talukder & Keith W. Hipel, 2018. "The PROMETHEE Framework for Comparing the Sustainability of Agricultural Systems," Resources, MDPI, vol. 7(4), pages 1-22, November.
  • Handle: RePEc:gam:jresou:v:7:y:2018:i:4:p:74-:d:182575
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    References listed on IDEAS

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    2. van Ittersum, Martin K. & Ewert, Frank & Heckelei, Thomas & Wery, Jacques & Alkan Olsson, Johanna & Andersen, Erling & Bezlepkina, Irina & Brouwer, Floor & Donatelli, Marcello & Flichman, Guillermo & , 2008. "Integrated assessment of agricultural systems - A component-based framework for the European Union (SEAMLESS)," Agricultural Systems, Elsevier, vol. 96(1-3), pages 150-165, March.
    3. Ness, Barry & Urbel-Piirsalu, Evelin & Anderberg, Stefan & Olsson, Lennart, 2007. "Categorising tools for sustainability assessment," Ecological Economics, Elsevier, vol. 60(3), pages 498-508, January.
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